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|---|---|---|---|---|---|---|---|---|---|---|
select count ( air date ) where appearance = 'only' col : no. in series | no. in season | performer | appearance | air date row 1 : 268 | 1 | tom segura | only | 21 january 2011 row 2 : 269 | 2 | michael kosta | only | 21 january 2011 row 3 : 270 | 3 | sheng wang | only | 28 january 2011 row 4 : 271 | 4 | chelsea peretti | only | 28 january 2011 row 5 : 272 | 5 | chris d'elia | only | 4 february 2011 row 6 : 273 | 6 | nate bargatze | only | 4 february 2011 row 7 : 274 | 7 | hari kondabolu | only | 11 february 2011 row 8 : 275 | 8 | jack whitehall | only | 11 february 2011 row 9 : 276 | 9 | al jackson | only | 18 february 2011 row 10 : 277 | 10 | kyle kinane | only | 25 february 2011 row 11 : 278 | 11 | matt fulchiron | only | 25 february 2011 row 12 : 279 | 12 | mike vecchione | only | 4 march 2011 row 13 : 280 | 13 | jessi klein | only | 4 march 2011 row 14 : 281 | 14 | louis katz | only | 11 march 2011 row 15 : 282 | 15 | jay larson | only | 11 march 2011 row 16 : 283 | 16 | natasha leggero | only | 25 march 2011 | col : count ( "air date" ) row 1 : 16 | select count ( air date ) where appearance = 'only' <table_name> : table \begin{tabular}{llllll}
\toprule
& no. in series & no. in season & performer & appearance & air date \\
\midrule
0 & 268 & 1 & tom segura & only & 21 january 2011 \\
1 & 269 & 2 & michael kosta & only & 21 january 2011 \\
2 & 270 & 3 & sheng wang & only & 28 january 2011 \\
3 & 271 & 4 & chelsea peretti & only & 28 january 2011 \\
4 & 272 & 5 & chris d'elia & only & 4 february 2011 \\
5 & 273 & 6 & nate bargatze & only & 4 february 2011 \\
6 & 274 & 7 & hari kondabolu & only & 11 february 2011 \\
7 & 275 & 8 & jack whitehall & only & 11 february 2011 \\
8 & 276 & 9 & al jackson & only & 18 february 2011 \\
9 & 277 & 10 & kyle kinane & only & 25 february 2011 \\
10 & 278 & 11 & matt fulchiron & only & 25 february 2011 \\
11 & 279 & 12 & mike vecchione & only & 4 march 2011 \\
12 & 280 & 13 & jessi klein & only & 4 march 2011 \\
13 & 281 & 14 & louis katz & only & 11 march 2011 \\
14 & 282 & 15 & jay larson & only & 11 march 2011 \\
15 & 283 & 16 & natasha leggero & only & 25 march 2011 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "air date" ) \\
\midrule
0 & 16 \\
\bottomrule
\end{tabular}
| select count ( air date ) where appearance = 'only' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>no. in series</th>
<th>no. in season</th>
<th>performer</th>
<th>appearance</th>
<th>air date</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>268</td>
<td>1</td>
<td>tom segura</td>
<td>only</td>
<td>21 january 2011</td>
</tr>
<tr>
<th>1</th>
<td>269</td>
<td>2</td>
<td>michael kosta</td>
<td>only</td>
<td>21 january 2011</td>
</tr>
<tr>
<th>2</th>
<td>270</td>
<td>3</td>
<td>sheng wang</td>
<td>only</td>
<td>28 january 2011</td>
</tr>
<tr>
<th>3</th>
<td>271</td>
<td>4</td>
<td>chelsea peretti</td>
<td>only</td>
<td>28 january 2011</td>
</tr>
<tr>
<th>4</th>
<td>272</td>
<td>5</td>
<td>chris d'elia</td>
<td>only</td>
<td>4 february 2011</td>
</tr>
<tr>
<th>5</th>
<td>273</td>
<td>6</td>
<td>nate bargatze</td>
<td>only</td>
<td>4 february 2011</td>
</tr>
<tr>
<th>6</th>
<td>274</td>
<td>7</td>
<td>hari kondabolu</td>
<td>only</td>
<td>11 february 2011</td>
</tr>
<tr>
<th>7</th>
<td>275</td>
<td>8</td>
<td>jack whitehall</td>
<td>only</td>
<td>11 february 2011</td>
</tr>
<tr>
<th>8</th>
<td>276</td>
<td>9</td>
<td>al jackson</td>
<td>only</td>
<td>18 february 2011</td>
</tr>
<tr>
<th>9</th>
<td>277</td>
<td>10</td>
<td>kyle kinane</td>
<td>only</td>
<td>25 february 2011</td>
</tr>
<tr>
<th>10</th>
<td>278</td>
<td>11</td>
<td>matt fulchiron</td>
<td>only</td>
<td>25 february 2011</td>
</tr>
<tr>
<th>11</th>
<td>279</td>
<td>12</td>
<td>mike vecchione</td>
<td>only</td>
<td>4 march 2011</td>
</tr>
<tr>
<th>12</th>
<td>280</td>
<td>13</td>
<td>jessi klein</td>
<td>only</td>
<td>4 march 2011</td>
</tr>
<tr>
<th>13</th>
<td>281</td>
<td>14</td>
<td>louis katz</td>
<td>only</td>
<td>11 march 2011</td>
</tr>
<tr>
<th>14</th>
<td>282</td>
<td>15</td>
<td>jay larson</td>
<td>only</td>
<td>11 march 2011</td>
</tr>
<tr>
<th>15</th>
<td>283</td>
<td>16</td>
<td>natasha leggero</td>
<td>only</td>
<td>25 march 2011</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "air date" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>16</td>
</tr>
</tbody>
</table> | select count ( air date ) where appearance = 'only' <table_name> : table | | no. in series | no. in season | performer | appearance | air date |
|---:|----------------:|----------------:|:----------------|:-------------|:-----------------|
| 0 | 268 | 1 | tom segura | only | 21 january 2011 |
| 1 | 269 | 2 | michael kosta | only | 21 january 2011 |
| 2 | 270 | 3 | sheng wang | only | 28 january 2011 |
| 3 | 271 | 4 | chelsea peretti | only | 28 january 2011 |
| 4 | 272 | 5 | chris d'elia | only | 4 february 2011 |
| 5 | 273 | 6 | nate bargatze | only | 4 february 2011 |
| 6 | 274 | 7 | hari kondabolu | only | 11 february 2011 |
| 7 | 275 | 8 | jack whitehall | only | 11 february 2011 |
| 8 | 276 | 9 | al jackson | only | 18 february 2011 |
| 9 | 277 | 10 | kyle kinane | only | 25 february 2011 |
| 10 | 278 | 11 | matt fulchiron | only | 25 february 2011 |
| 11 | 279 | 12 | mike vecchione | only | 4 march 2011 |
| 12 | 280 | 13 | jessi klein | only | 4 march 2011 |
| 13 | 281 | 14 | louis katz | only | 11 march 2011 |
| 14 | 282 | 15 | jay larson | only | 11 march 2011 |
| 15 | 283 | 16 | natasha leggero | only | 25 march 2011 | | | | count ( "air date" ) |
|---:|-----------------------:|
| 0 | 16 | | [
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select population (2005) where name = 'yongyi' col : name | hanzi | population (2005) | area (km2) row 1 : qingxi | 清溪镇 | 20000 | 2.9 row 2 : ruyi | 如意镇 | 15100 | 33.85 row 3 : yintian | 银田镇 | 19500 | 28.0 row 4 : daping | 大坪乡 | 14300 | 32.0 row 5 : yongyi | 永义乡 | 10600 | 24.0 row 6 : shaoshan | 韶山乡 | 14700 | 37.62 row 7 : yanglin | 杨林乡 | 20600 | 58.8 | col : population (2005) row 1 : 10600 | select population (2005) where name = 'yongyi' <table_name> : table \begin{tabular}{lllll}
\toprule
& name & hanzi & population (2005) & area (km2) \\
\midrule
0 & qingxi & 清溪镇 & 20000 & 2.9 \\
1 & ruyi & 如意镇 & 15100 & 33.85 \\
2 & yintian & 银田镇 & 19500 & 28.0 \\
3 & daping & 大坪乡 & 14300 & 32.0 \\
4 & yongyi & 永义乡 & 10600 & 24.0 \\
5 & shaoshan & 韶山乡 & 14700 & 37.62 \\
6 & yanglin & 杨林乡 & 20600 & 58.8 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& population (2005) \\
\midrule
0 & 10600 \\
\bottomrule
\end{tabular}
| select population (2005) where name = 'yongyi' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>name</th>
<th>hanzi</th>
<th>population (2005)</th>
<th>area (km2)</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>qingxi</td>
<td>清溪镇</td>
<td>20000</td>
<td>2.9</td>
</tr>
<tr>
<th>1</th>
<td>ruyi</td>
<td>如意镇</td>
<td>15100</td>
<td>33.85</td>
</tr>
<tr>
<th>2</th>
<td>yintian</td>
<td>银田镇</td>
<td>19500</td>
<td>28.0</td>
</tr>
<tr>
<th>3</th>
<td>daping</td>
<td>大坪乡</td>
<td>14300</td>
<td>32.0</td>
</tr>
<tr>
<th>4</th>
<td>yongyi</td>
<td>永义乡</td>
<td>10600</td>
<td>24.0</td>
</tr>
<tr>
<th>5</th>
<td>shaoshan</td>
<td>韶山乡</td>
<td>14700</td>
<td>37.62</td>
</tr>
<tr>
<th>6</th>
<td>yanglin</td>
<td>杨林乡</td>
<td>20600</td>
<td>58.8</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>population (2005)</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>10600</td>
</tr>
</tbody>
</table> | select population (2005) where name = 'yongyi' <table_name> : table | | name | hanzi | population (2005) | area (km2) |
|---:|:---------|:--------|--------------------:|-------------:|
| 0 | qingxi | 清溪镇 | 20000 | 2.9 |
| 1 | ruyi | 如意镇 | 15100 | 33.85 |
| 2 | yintian | 银田镇 | 19500 | 28 |
| 3 | daping | 大坪乡 | 14300 | 32 |
| 4 | yongyi | 永义乡 | 10600 | 24 |
| 5 | shaoshan | 韶山乡 | 14700 | 37.62 |
| 6 | yanglin | 杨林乡 | 20600 | 58.8 | | | | population (2005) |
|---:|--------------------:|
| 0 | 10600 | | [
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] |
select entrant where position = 2 col : position | driver | no. | car | entrant | lak. | ora. | san. | phi. | total row 1 : 1 | john briggs | 9 | honda prelude, chevrolet | john briggs | 42 | 42 | 42 | 42 | 168 row 2 : 2 | kerry baily | 18 | toyota supra, chevrolet | kerry baily | 38 | 38 | 36 | 38 | 150 row 3 : 3 | james phillip | 55 | honda prelude, chevrolet | james phillip | 26 | 28 | 28 | 30 | 112 row 4 : 4 | mick monterosso | 2 | ford escort rs2000 | mick monterosso | none | 34 | 36 | 34 | 104 row 5 : 5 | bob jolly | 3 | holden vs commodore | bob jolly | none | 28 | 16 | 32 | 76 row 6 : 6 | danny osborne | none | mazda rx-7 | none | 26 | 10 | 30 | none | 66 row 7 : 7 | mike imrie | 4 | saab | imrie motor sport | 23 | 11 | none | 28 | 62 row 8 : 8 | mark trenoweth | none | jaguar | none | 33 | 24 | none | none | 57 row 9 : 9 | ivan mikac | 42 | mazda rx-7 | ivan mikac | none | none | 25 | 26 | 51 row 10 : 10 | des wall | none | toyota supra | none | 15 | 32 | none | none | 47 row 11 : 11 | kevin clark | 116 | ford mustang gt | kevin clark | none | none | 23 | 23 | 46 row 12 : 12 | peter o'brien | 17 | holden vl commodore | o'brien aluminium | none | 11 | 29 | none | 40 row 13 : 13 | chris fing | none | chevrolet monza | none | 29 | none | none | none | 29 row 14 : 14 | brian smith | none | alfa romeo gtv, chevrolet | none | none | 28 | none | none | 28 row 15 : 15 | gary rowe | 47 | nissan stanza | gary rowe | none | none | 21 | none | 21 row 16 : 15 | domenic beninca | none | none | none | none | none | none | 21 | 21 row 17 : 17 | phil crompton | 49 | ford ea falcon | phil crompton | 17 | none | none | none | 17 row 18 : 18 | allan mccarthy | none | alfa romeo alfetta | none | 14 | none | none | none | 14 row 19 : 19 | chris donnelly | none | none | none | 12 | none | none | none | 12 row 20 : 19 | paul barrett | none | none | none | none | none | none | 12 | 12 row 21 : 21 | brett francis | none | none | none | 11 | none | none | none | 11 row 22 : 22 | shane eklund | none | none | none | 10 | none | none | none | 10 row 23 : 22 | craig wildridge | none | none | none | none | 10 | none | none | 10 row 24 : 22 | ron o'brien | none | none | none | none | none | none | 10 | 10 | col : entrant row 1 : kerry baily | select entrant where position = 2 <table_name> : table \begin{tabular}{lllllllllll}
\toprule
& position & driver & no. & car & entrant & lak. & ora. & san. & phi. & total \\
\midrule
0 & 1 & john briggs & 9 & honda prelude, chevrolet & john briggs & 42 & 42 & 42 & 42 & 168 \\
1 & 2 & kerry baily & 18 & toyota supra, chevrolet & kerry baily & 38 & 38 & 36 & 38 & 150 \\
2 & 3 & james phillip & 55 & honda prelude, chevrolet & james phillip & 26 & 28 & 28 & 30 & 112 \\
3 & 4 & mick monterosso & 2 & ford escort rs2000 & mick monterosso & none & 34 & 36 & 34 & 104 \\
4 & 5 & bob jolly & 3 & holden vs commodore & bob jolly & none & 28 & 16 & 32 & 76 \\
5 & 6 & danny osborne & none & mazda rx-7 & none & 26 & 10 & 30 & none & 66 \\
6 & 7 & mike imrie & 4 & saab & imrie motor sport & 23 & 11 & none & 28 & 62 \\
7 & 8 & mark trenoweth & none & jaguar & none & 33 & 24 & none & none & 57 \\
8 & 9 & ivan mikac & 42 & mazda rx-7 & ivan mikac & none & none & 25 & 26 & 51 \\
9 & 10 & des wall & none & toyota supra & none & 15 & 32 & none & none & 47 \\
10 & 11 & kevin clark & 116 & ford mustang gt & kevin clark & none & none & 23 & 23 & 46 \\
11 & 12 & peter o'brien & 17 & holden vl commodore & o'brien aluminium & none & 11 & 29 & none & 40 \\
12 & 13 & chris fing & none & chevrolet monza & none & 29 & none & none & none & 29 \\
13 & 14 & brian smith & none & alfa romeo gtv, chevrolet & none & none & 28 & none & none & 28 \\
14 & 15 & gary rowe & 47 & nissan stanza & gary rowe & none & none & 21 & none & 21 \\
15 & 15 & domenic beninca & none & none & none & none & none & none & 21 & 21 \\
16 & 17 & phil crompton & 49 & ford ea falcon & phil crompton & 17 & none & none & none & 17 \\
17 & 18 & allan mccarthy & none & alfa romeo alfetta & none & 14 & none & none & none & 14 \\
18 & 19 & chris donnelly & none & none & none & 12 & none & none & none & 12 \\
19 & 19 & paul barrett & none & none & none & none & none & none & 12 & 12 \\
20 & 21 & brett francis & none & none & none & 11 & none & none & none & 11 \\
21 & 22 & shane eklund & none & none & none & 10 & none & none & none & 10 \\
22 & 22 & craig wildridge & none & none & none & none & 10 & none & none & 10 \\
23 & 22 & ron o'brien & none & none & none & none & none & none & 10 & 10 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& entrant \\
\midrule
0 & kerry baily \\
\bottomrule
\end{tabular}
| select entrant where position = 2 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>position</th>
<th>driver</th>
<th>no.</th>
<th>car</th>
<th>entrant</th>
<th>lak.</th>
<th>ora.</th>
<th>san.</th>
<th>phi.</th>
<th>total</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>john briggs</td>
<td>9</td>
<td>honda prelude, chevrolet</td>
<td>john briggs</td>
<td>42</td>
<td>42</td>
<td>42</td>
<td>42</td>
<td>168</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>kerry baily</td>
<td>18</td>
<td>toyota supra, chevrolet</td>
<td>kerry baily</td>
<td>38</td>
<td>38</td>
<td>36</td>
<td>38</td>
<td>150</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>james phillip</td>
<td>55</td>
<td>honda prelude, chevrolet</td>
<td>james phillip</td>
<td>26</td>
<td>28</td>
<td>28</td>
<td>30</td>
<td>112</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>mick monterosso</td>
<td>2</td>
<td>ford escort rs2000</td>
<td>mick monterosso</td>
<td>none</td>
<td>34</td>
<td>36</td>
<td>34</td>
<td>104</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>bob jolly</td>
<td>3</td>
<td>holden vs commodore</td>
<td>bob jolly</td>
<td>none</td>
<td>28</td>
<td>16</td>
<td>32</td>
<td>76</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>danny osborne</td>
<td>none</td>
<td>mazda rx-7</td>
<td>none</td>
<td>26</td>
<td>10</td>
<td>30</td>
<td>none</td>
<td>66</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>mike imrie</td>
<td>4</td>
<td>saab</td>
<td>imrie motor sport</td>
<td>23</td>
<td>11</td>
<td>none</td>
<td>28</td>
<td>62</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>mark trenoweth</td>
<td>none</td>
<td>jaguar</td>
<td>none</td>
<td>33</td>
<td>24</td>
<td>none</td>
<td>none</td>
<td>57</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>ivan mikac</td>
<td>42</td>
<td>mazda rx-7</td>
<td>ivan mikac</td>
<td>none</td>
<td>none</td>
<td>25</td>
<td>26</td>
<td>51</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>des wall</td>
<td>none</td>
<td>toyota supra</td>
<td>none</td>
<td>15</td>
<td>32</td>
<td>none</td>
<td>none</td>
<td>47</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>kevin clark</td>
<td>116</td>
<td>ford mustang gt</td>
<td>kevin clark</td>
<td>none</td>
<td>none</td>
<td>23</td>
<td>23</td>
<td>46</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>peter o'brien</td>
<td>17</td>
<td>holden vl commodore</td>
<td>o'brien aluminium</td>
<td>none</td>
<td>11</td>
<td>29</td>
<td>none</td>
<td>40</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>chris fing</td>
<td>none</td>
<td>chevrolet monza</td>
<td>none</td>
<td>29</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>29</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>brian smith</td>
<td>none</td>
<td>alfa romeo gtv, chevrolet</td>
<td>none</td>
<td>none</td>
<td>28</td>
<td>none</td>
<td>none</td>
<td>28</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>gary rowe</td>
<td>47</td>
<td>nissan stanza</td>
<td>gary rowe</td>
<td>none</td>
<td>none</td>
<td>21</td>
<td>none</td>
<td>21</td>
</tr>
<tr>
<th>15</th>
<td>15</td>
<td>domenic beninca</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>21</td>
<td>21</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>phil crompton</td>
<td>49</td>
<td>ford ea falcon</td>
<td>phil crompton</td>
<td>17</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>17</td>
</tr>
<tr>
<th>17</th>
<td>18</td>
<td>allan mccarthy</td>
<td>none</td>
<td>alfa romeo alfetta</td>
<td>none</td>
<td>14</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>14</td>
</tr>
<tr>
<th>18</th>
<td>19</td>
<td>chris donnelly</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>12</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>12</td>
</tr>
<tr>
<th>19</th>
<td>19</td>
<td>paul barrett</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>12</td>
<td>12</td>
</tr>
<tr>
<th>20</th>
<td>21</td>
<td>brett francis</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>11</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>11</td>
</tr>
<tr>
<th>21</th>
<td>22</td>
<td>shane eklund</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>10</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>10</td>
</tr>
<tr>
<th>22</th>
<td>22</td>
<td>craig wildridge</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>10</td>
<td>none</td>
<td>none</td>
<td>10</td>
</tr>
<tr>
<th>23</th>
<td>22</td>
<td>ron o'brien</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>10</td>
<td>10</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>entrant</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>kerry baily</td>
</tr>
</tbody>
</table> | select entrant where position = 2 <table_name> : table | | position | driver | no. | car | entrant | lak. | ora. | san. | phi. | total |
|---:|-----------:|:----------------|:------|:--------------------------|:------------------|:-------|:-------|:-------|:-------|--------:|
| 0 | 1 | john briggs | 9 | honda prelude, chevrolet | john briggs | 42 | 42 | 42 | 42 | 168 |
| 1 | 2 | kerry baily | 18 | toyota supra, chevrolet | kerry baily | 38 | 38 | 36 | 38 | 150 |
| 2 | 3 | james phillip | 55 | honda prelude, chevrolet | james phillip | 26 | 28 | 28 | 30 | 112 |
| 3 | 4 | mick monterosso | 2 | ford escort rs2000 | mick monterosso | none | 34 | 36 | 34 | 104 |
| 4 | 5 | bob jolly | 3 | holden vs commodore | bob jolly | none | 28 | 16 | 32 | 76 |
| 5 | 6 | danny osborne | none | mazda rx-7 | none | 26 | 10 | 30 | none | 66 |
| 6 | 7 | mike imrie | 4 | saab | imrie motor sport | 23 | 11 | none | 28 | 62 |
| 7 | 8 | mark trenoweth | none | jaguar | none | 33 | 24 | none | none | 57 |
| 8 | 9 | ivan mikac | 42 | mazda rx-7 | ivan mikac | none | none | 25 | 26 | 51 |
| 9 | 10 | des wall | none | toyota supra | none | 15 | 32 | none | none | 47 |
| 10 | 11 | kevin clark | 116 | ford mustang gt | kevin clark | none | none | 23 | 23 | 46 |
| 11 | 12 | peter o'brien | 17 | holden vl commodore | o'brien aluminium | none | 11 | 29 | none | 40 |
| 12 | 13 | chris fing | none | chevrolet monza | none | 29 | none | none | none | 29 |
| 13 | 14 | brian smith | none | alfa romeo gtv, chevrolet | none | none | 28 | none | none | 28 |
| 14 | 15 | gary rowe | 47 | nissan stanza | gary rowe | none | none | 21 | none | 21 |
| 15 | 15 | domenic beninca | none | none | none | none | none | none | 21 | 21 |
| 16 | 17 | phil crompton | 49 | ford ea falcon | phil crompton | 17 | none | none | none | 17 |
| 17 | 18 | allan mccarthy | none | alfa romeo alfetta | none | 14 | none | none | none | 14 |
| 18 | 19 | chris donnelly | none | none | none | 12 | none | none | none | 12 |
| 19 | 19 | paul barrett | none | none | none | none | none | none | 12 | 12 |
| 20 | 21 | brett francis | none | none | none | 11 | none | none | none | 11 |
| 21 | 22 | shane eklund | none | none | none | 10 | none | none | none | 10 |
| 22 | 22 | craig wildridge | none | none | none | none | 10 | none | none | 10 |
| 23 | 22 | ron o'brien | none | none | none | none | none | none | 10 | 10 | | | | entrant |
|---:|:------------|
| 0 | kerry baily | | [
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select city where city = 'caravaggio' col : pos. | city | population (ab) | surface (km2) | density (ab/km2) | altitude (mslm) row 1 : 1st | bergamo | 121.316 | 39.6 | 3064 | 249 row 2 : 2nd | treviglio | 29.334 | 31.54 | 930 | 125 row 3 : 3rd | seriate | 25.036 | 12.41 | 2017 | 247 row 4 : 4th | dalmine | 23.237 | 11.6 | 2003 | 207 row 5 : 5th | romano di lombardia | 19.472 | 18.03 | 1080 | 120 row 6 : 6th | albino | 18.232 | 31.32 | 582 | 342 row 7 : 7th | caravaggio | 16.258 | 32.81 | 496 | 111 row 8 : 8th | alzano lombardo | 13.821 | 13.43 | 1029 | 304 row 9 : 9th | stezzano | 12.999 | 9.25 | 1405 | 211 row 10 : 10th | osio sotto | 12.083 | 7.45 | 1622 | 182 | col : city row 1 : caravaggio | select city where city = 'caravaggio' <table_name> : table \begin{tabular}{lllllll}
\toprule
& pos. & city & population (ab) & surface (km2) & density (ab/km2) & altitude (mslm) \\
\midrule
0 & 1st & bergamo & 121.316 & 39.6 & 3064 & 249 \\
1 & 2nd & treviglio & 29.334 & 31.54 & 930 & 125 \\
2 & 3rd & seriate & 25.036 & 12.41 & 2017 & 247 \\
3 & 4th & dalmine & 23.237 & 11.6 & 2003 & 207 \\
4 & 5th & romano di lombardia & 19.472 & 18.03 & 1080 & 120 \\
5 & 6th & albino & 18.232 & 31.32 & 582 & 342 \\
6 & 7th & caravaggio & 16.258 & 32.81 & 496 & 111 \\
7 & 8th & alzano lombardo & 13.821 & 13.43 & 1029 & 304 \\
8 & 9th & stezzano & 12.999 & 9.25 & 1405 & 211 \\
9 & 10th & osio sotto & 12.083 & 7.45 & 1622 & 182 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& city \\
\midrule
0 & caravaggio \\
\bottomrule
\end{tabular}
| select city where city = 'caravaggio' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>pos.</th>
<th>city</th>
<th>population (ab)</th>
<th>surface (km2)</th>
<th>density (ab/km2)</th>
<th>altitude (mslm)</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1st</td>
<td>bergamo</td>
<td>121.316</td>
<td>39.6</td>
<td>3064</td>
<td>249</td>
</tr>
<tr>
<th>1</th>
<td>2nd</td>
<td>treviglio</td>
<td>29.334</td>
<td>31.54</td>
<td>930</td>
<td>125</td>
</tr>
<tr>
<th>2</th>
<td>3rd</td>
<td>seriate</td>
<td>25.036</td>
<td>12.41</td>
<td>2017</td>
<td>247</td>
</tr>
<tr>
<th>3</th>
<td>4th</td>
<td>dalmine</td>
<td>23.237</td>
<td>11.6</td>
<td>2003</td>
<td>207</td>
</tr>
<tr>
<th>4</th>
<td>5th</td>
<td>romano di lombardia</td>
<td>19.472</td>
<td>18.03</td>
<td>1080</td>
<td>120</td>
</tr>
<tr>
<th>5</th>
<td>6th</td>
<td>albino</td>
<td>18.232</td>
<td>31.32</td>
<td>582</td>
<td>342</td>
</tr>
<tr>
<th>6</th>
<td>7th</td>
<td>caravaggio</td>
<td>16.258</td>
<td>32.81</td>
<td>496</td>
<td>111</td>
</tr>
<tr>
<th>7</th>
<td>8th</td>
<td>alzano lombardo</td>
<td>13.821</td>
<td>13.43</td>
<td>1029</td>
<td>304</td>
</tr>
<tr>
<th>8</th>
<td>9th</td>
<td>stezzano</td>
<td>12.999</td>
<td>9.25</td>
<td>1405</td>
<td>211</td>
</tr>
<tr>
<th>9</th>
<td>10th</td>
<td>osio sotto</td>
<td>12.083</td>
<td>7.45</td>
<td>1622</td>
<td>182</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>city</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>caravaggio</td>
</tr>
</tbody>
</table> | select city where city = 'caravaggio' <table_name> : table | | pos. | city | population (ab) | surface (km2) | density (ab/km2) | altitude (mslm) |
|---:|:-------|:--------------------|------------------:|----------------:|-------------------:|------------------:|
| 0 | 1st | bergamo | 121.316 | 39.6 | 3064 | 249 |
| 1 | 2nd | treviglio | 29.334 | 31.54 | 930 | 125 |
| 2 | 3rd | seriate | 25.036 | 12.41 | 2017 | 247 |
| 3 | 4th | dalmine | 23.237 | 11.6 | 2003 | 207 |
| 4 | 5th | romano di lombardia | 19.472 | 18.03 | 1080 | 120 |
| 5 | 6th | albino | 18.232 | 31.32 | 582 | 342 |
| 6 | 7th | caravaggio | 16.258 | 32.81 | 496 | 111 |
| 7 | 8th | alzano lombardo | 13.821 | 13.43 | 1029 | 304 |
| 8 | 9th | stezzano | 12.999 | 9.25 | 1405 | 211 |
| 9 | 10th | osio sotto | 12.083 | 7.45 | 1622 | 182 | | | | city |
|---:|:-----------|
| 0 | caravaggio | | [
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select week where week = 5 col : week | date | opponent | result | attendance row 1 : 1 | 1968-09-15 00:00:00 | at green bay packers | l 30-13 | 50,861 row 2 : 2 | 1968-09-22 00:00:00 | new york giants | l 34-25 | 60,858 row 3 : 3 | 1968-09-29 00:00:00 | dallas cowboys | l 45-13 | 60,858 row 4 : 4 | 1968-10-06 00:00:00 | at washington redskins | l 17-14 | 50,816 row 5 : 5 | 1968-10-13 00:00:00 | at dallas cowboys | l 34-14 | 72,083 row 6 : 6 | 1968-10-20 00:00:00 | chicago bears | l 29-16 | 60,858 row 7 : 7 | 1968-10-27 00:00:00 | at pittsburgh steelers | l 6-3 | 26,908 row 8 : 8 | 1968-11-03 00:00:00 | st. louis cardinals | l 45-17 | 59,208 row 9 : 9 | 1968-11-10 00:00:00 | washington redskins | l 16-10 | 59,133 row 10 : 10 | 1968-11-17 00:00:00 | at new york giants | l 7-6 | 62,896 row 11 : 11 | 1968-11-24 00:00:00 | at cleveland browns | l 47-13 | 62,338 row 12 : 12 | 1968-11-28 00:00:00 | at detroit lions | w 12-0 | 47,909 row 13 : 13 | 1968-12-08 00:00:00 | new orleans saints | w 29-17 | 57,128 row 14 : 14 | 1968-12-15 00:00:00 | minnesota vikings | l 24-17 | 54,530 | col : week row 1 : 5 | select week where week = 5 <table_name> : table \begin{tabular}{llllll}
\toprule
& week & date & opponent & result & attendance \\
\midrule
0 & 1 & 1968-09-15 00:00:00 & at green bay packers & l 30-13 & 50,861 \\
1 & 2 & 1968-09-22 00:00:00 & new york giants & l 34-25 & 60,858 \\
2 & 3 & 1968-09-29 00:00:00 & dallas cowboys & l 45-13 & 60,858 \\
3 & 4 & 1968-10-06 00:00:00 & at washington redskins & l 17-14 & 50,816 \\
4 & 5 & 1968-10-13 00:00:00 & at dallas cowboys & l 34-14 & 72,083 \\
5 & 6 & 1968-10-20 00:00:00 & chicago bears & l 29-16 & 60,858 \\
6 & 7 & 1968-10-27 00:00:00 & at pittsburgh steelers & l 6-3 & 26,908 \\
7 & 8 & 1968-11-03 00:00:00 & st. louis cardinals & l 45-17 & 59,208 \\
8 & 9 & 1968-11-10 00:00:00 & washington redskins & l 16-10 & 59,133 \\
9 & 10 & 1968-11-17 00:00:00 & at new york giants & l 7-6 & 62,896 \\
10 & 11 & 1968-11-24 00:00:00 & at cleveland browns & l 47-13 & 62,338 \\
11 & 12 & 1968-11-28 00:00:00 & at detroit lions & w 12-0 & 47,909 \\
12 & 13 & 1968-12-08 00:00:00 & new orleans saints & w 29-17 & 57,128 \\
13 & 14 & 1968-12-15 00:00:00 & minnesota vikings & l 24-17 & 54,530 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& week \\
\midrule
0 & 5 \\
\bottomrule
\end{tabular}
| select week where week = 5 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>week</th>
<th>date</th>
<th>opponent</th>
<th>result</th>
<th>attendance</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>1968-09-15 00:00:00</td>
<td>at green bay packers</td>
<td>l 30-13</td>
<td>50,861</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>1968-09-22 00:00:00</td>
<td>new york giants</td>
<td>l 34-25</td>
<td>60,858</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>1968-09-29 00:00:00</td>
<td>dallas cowboys</td>
<td>l 45-13</td>
<td>60,858</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>1968-10-06 00:00:00</td>
<td>at washington redskins</td>
<td>l 17-14</td>
<td>50,816</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>1968-10-13 00:00:00</td>
<td>at dallas cowboys</td>
<td>l 34-14</td>
<td>72,083</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>1968-10-20 00:00:00</td>
<td>chicago bears</td>
<td>l 29-16</td>
<td>60,858</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>1968-10-27 00:00:00</td>
<td>at pittsburgh steelers</td>
<td>l 6-3</td>
<td>26,908</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>1968-11-03 00:00:00</td>
<td>st. louis cardinals</td>
<td>l 45-17</td>
<td>59,208</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>1968-11-10 00:00:00</td>
<td>washington redskins</td>
<td>l 16-10</td>
<td>59,133</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>1968-11-17 00:00:00</td>
<td>at new york giants</td>
<td>l 7-6</td>
<td>62,896</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>1968-11-24 00:00:00</td>
<td>at cleveland browns</td>
<td>l 47-13</td>
<td>62,338</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>1968-11-28 00:00:00</td>
<td>at detroit lions</td>
<td>w 12-0</td>
<td>47,909</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>1968-12-08 00:00:00</td>
<td>new orleans saints</td>
<td>w 29-17</td>
<td>57,128</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>1968-12-15 00:00:00</td>
<td>minnesota vikings</td>
<td>l 24-17</td>
<td>54,530</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>week</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>5</td>
</tr>
</tbody>
</table> | select week where week = 5 <table_name> : table | | week | date | opponent | result | attendance |
|---:|-------:|:--------------------|:-----------------------|:---------|:-------------|
| 0 | 1 | 1968-09-15 00:00:00 | at green bay packers | l 30-13 | 50,861 |
| 1 | 2 | 1968-09-22 00:00:00 | new york giants | l 34-25 | 60,858 |
| 2 | 3 | 1968-09-29 00:00:00 | dallas cowboys | l 45-13 | 60,858 |
| 3 | 4 | 1968-10-06 00:00:00 | at washington redskins | l 17-14 | 50,816 |
| 4 | 5 | 1968-10-13 00:00:00 | at dallas cowboys | l 34-14 | 72,083 |
| 5 | 6 | 1968-10-20 00:00:00 | chicago bears | l 29-16 | 60,858 |
| 6 | 7 | 1968-10-27 00:00:00 | at pittsburgh steelers | l 6-3 | 26,908 |
| 7 | 8 | 1968-11-03 00:00:00 | st. louis cardinals | l 45-17 | 59,208 |
| 8 | 9 | 1968-11-10 00:00:00 | washington redskins | l 16-10 | 59,133 |
| 9 | 10 | 1968-11-17 00:00:00 | at new york giants | l 7-6 | 62,896 |
| 10 | 11 | 1968-11-24 00:00:00 | at cleveland browns | l 47-13 | 62,338 |
| 11 | 12 | 1968-11-28 00:00:00 | at detroit lions | w 12-0 | 47,909 |
| 12 | 13 | 1968-12-08 00:00:00 | new orleans saints | w 29-17 | 57,128 |
| 13 | 14 | 1968-12-15 00:00:00 | minnesota vikings | l 24-17 | 54,530 | | | | week |
|---:|-------:|
| 0 | 5 | | [
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] |
select player where round = 3 col : round | pick | player | position | nationality | team | college row 1 : t | none | wilt chamberlain | c | united states | philadelphia warriors | kansas row 2 : t | none | bob ferry | f/c | united states | st. louis hawks | saint louis row 3 : 1 | 1 | bob boozer | f | united states | cincinnati royals | kansas state row 4 : 1 | 2 | bailey howell | f | united states | detroit pistons | mississippi state row 5 : 1 | 3 | tom hawkins | f | united states | minneapolis lakers | notre dame row 6 : 1 | 4 | dick barnett | g/f | united states | syracuse nationals | tennessee state row 7 : 1 | 5 | johnny green | f/c | united states | new york knicks | michigan state row 8 : 1 | 6 | john richter | f | united states | boston celtics | nc state row 9 : 2 | 7 | tom robitaille | f/c | united states | detroit pistons (from cincinnati) | rice row 10 : 2 | 8 | don goldstein | f | united states | detroit pistons | louisville row 11 : 2 | 9 | joe ruklick | f/c | united states | philadelphia warriors | northwestern row 12 : 2 | 10 | rudy larusso | f/c | united states | minneapolis lakers | dartmouth row 13 : 2 | 11 | bumper tormohlen | f/c | united states | syracuse nationals | tennessee row 14 : 2 | 12 | al seiden | g | united states | st. louis hawks (from new york) | st. john's row 15 : 2 | 13 | cal ramsey | f | united states | st. louis hawks | nyu row 16 : 2 | 14 | gene guarilia | f | united states | boston celtics | george washington row 17 : 3 | 15 | mike mendenhall | g | united states | cincinnati royals | cincinnati row 18 : 3 | 16 | gary alcorn | c | united states | detroit pistons | fresno state row 19 : 3 | 17 | jim hockaday | f | united states | philadelphia warriors | memphis row 20 : 3 | 18 | bobby smith | g | united states | minneapolis lakers | west virginia row 21 : 3 | 19 | jon cincebox | f | united states | syracuse nationals | syracuse row 22 : 3 | 20 | bob anderegg | g/f | united states | new york knicks | michigan state row 23 : 3 | 21 | hank stein | g | united states | st. louis hawks | xavier row 24 : 3 | 22 | ralph crosthwaite | c | united states | boston celtics | western kentucky row 25 : 4 | 23 | leo byrd | g | united states | cincinnati royals | marshall row 26 : 4 | 24 | george lee | g/f | united states | detroit pistons | michigan row 27 : 4 | 25 | ron stevenson | f | united states | philadelphia warriors | tcu row 28 : 4 | 26 | wilson eison | f | united states | minneapolis lakers | purdue row 29 : 4 | 27 | paul neumann | g | united states | syracuse nationals | stanford row 30 : 4 | 28 | johnny cox | g | united states | new york knicks | kentucky row 31 : 4 | 29 | lee harman | g | united states | st. louis hawks | oregon state row 32 : 4 | 30 | ed kazakavich | f | united states | boston celtics | scranton row 33 : 5 | 31 | harry kirchner | g/f | united states | detroit pistons | tcu row 34 : 5 | 32 | tony windis | g | united states | detroit pistons | wyoming row 35 : 5 | 37 | nick mantis | g | united states | st. louis hawks | northwestern row 36 : 8 | 56 | dave gunther | f | united states | philadelphia warriors | iowa row 37 : 11 | 77 | john barnhill | g | united states | st. louis hawks | tennessee state row 38 : 14 | 83 | jack israel | g/f | united states | new york knicks | missouri state | col : player row 1 : mike mendenhall row 2 : gary alcorn row 3 : jim hockaday row 4 : bobby smith row 5 : jon cincebox row 6 : bob anderegg row 7 : hank stein row 8 : ralph crosthwaite | select player where round = 3 <table_name> : table \begin{tabular}{llllllll}
\toprule
& round & pick & player & position & nationality & team & college \\
\midrule
0 & t & none & wilt chamberlain & c & united states & philadelphia warriors & kansas \\
1 & t & none & bob ferry & f/c & united states & st. louis hawks & saint louis \\
2 & 1 & 1 & bob boozer & f & united states & cincinnati royals & kansas state \\
3 & 1 & 2 & bailey howell & f & united states & detroit pistons & mississippi state \\
4 & 1 & 3 & tom hawkins & f & united states & minneapolis lakers & notre dame \\
5 & 1 & 4 & dick barnett & g/f & united states & syracuse nationals & tennessee state \\
6 & 1 & 5 & johnny green & f/c & united states & new york knicks & michigan state \\
7 & 1 & 6 & john richter & f & united states & boston celtics & nc state \\
8 & 2 & 7 & tom robitaille & f/c & united states & detroit pistons (from cincinnati) & rice \\
9 & 2 & 8 & don goldstein & f & united states & detroit pistons & louisville \\
10 & 2 & 9 & joe ruklick & f/c & united states & philadelphia warriors & northwestern \\
11 & 2 & 10 & rudy larusso & f/c & united states & minneapolis lakers & dartmouth \\
12 & 2 & 11 & bumper tormohlen & f/c & united states & syracuse nationals & tennessee \\
13 & 2 & 12 & al seiden & g & united states & st. louis hawks (from new york) & st. john's \\
14 & 2 & 13 & cal ramsey & f & united states & st. louis hawks & nyu \\
15 & 2 & 14 & gene guarilia & f & united states & boston celtics & george washington \\
16 & 3 & 15 & mike mendenhall & g & united states & cincinnati royals & cincinnati \\
17 & 3 & 16 & gary alcorn & c & united states & detroit pistons & fresno state \\
18 & 3 & 17 & jim hockaday & f & united states & philadelphia warriors & memphis \\
19 & 3 & 18 & bobby smith & g & united states & minneapolis lakers & west virginia \\
20 & 3 & 19 & jon cincebox & f & united states & syracuse nationals & syracuse \\
21 & 3 & 20 & bob anderegg & g/f & united states & new york knicks & michigan state \\
22 & 3 & 21 & hank stein & g & united states & st. louis hawks & xavier \\
23 & 3 & 22 & ralph crosthwaite & c & united states & boston celtics & western kentucky \\
24 & 4 & 23 & leo byrd & g & united states & cincinnati royals & marshall \\
25 & 4 & 24 & george lee & g/f & united states & detroit pistons & michigan \\
26 & 4 & 25 & ron stevenson & f & united states & philadelphia warriors & tcu \\
27 & 4 & 26 & wilson eison & f & united states & minneapolis lakers & purdue \\
28 & 4 & 27 & paul neumann & g & united states & syracuse nationals & stanford \\
29 & 4 & 28 & johnny cox & g & united states & new york knicks & kentucky \\
30 & 4 & 29 & lee harman & g & united states & st. louis hawks & oregon state \\
31 & 4 & 30 & ed kazakavich & f & united states & boston celtics & scranton \\
32 & 5 & 31 & harry kirchner & g/f & united states & detroit pistons & tcu \\
33 & 5 & 32 & tony windis & g & united states & detroit pistons & wyoming \\
34 & 5 & 37 & nick mantis & g & united states & st. louis hawks & northwestern \\
35 & 8 & 56 & dave gunther & f & united states & philadelphia warriors & iowa \\
36 & 11 & 77 & john barnhill & g & united states & st. louis hawks & tennessee state \\
37 & 14 & 83 & jack israel & g/f & united states & new york knicks & missouri state \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& player \\
\midrule
0 & mike mendenhall \\
1 & gary alcorn \\
2 & jim hockaday \\
3 & bobby smith \\
4 & jon cincebox \\
5 & bob anderegg \\
6 & hank stein \\
7 & ralph crosthwaite \\
\bottomrule
\end{tabular}
| select player where round = 3 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>round</th>
<th>pick</th>
<th>player</th>
<th>position</th>
<th>nationality</th>
<th>team</th>
<th>college</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>t</td>
<td>none</td>
<td>wilt chamberlain</td>
<td>c</td>
<td>united states</td>
<td>philadelphia warriors</td>
<td>kansas</td>
</tr>
<tr>
<th>1</th>
<td>t</td>
<td>none</td>
<td>bob ferry</td>
<td>f/c</td>
<td>united states</td>
<td>st. louis hawks</td>
<td>saint louis</td>
</tr>
<tr>
<th>2</th>
<td>1</td>
<td>1</td>
<td>bob boozer</td>
<td>f</td>
<td>united states</td>
<td>cincinnati royals</td>
<td>kansas state</td>
</tr>
<tr>
<th>3</th>
<td>1</td>
<td>2</td>
<td>bailey howell</td>
<td>f</td>
<td>united states</td>
<td>detroit pistons</td>
<td>mississippi state</td>
</tr>
<tr>
<th>4</th>
<td>1</td>
<td>3</td>
<td>tom hawkins</td>
<td>f</td>
<td>united states</td>
<td>minneapolis lakers</td>
<td>notre dame</td>
</tr>
<tr>
<th>5</th>
<td>1</td>
<td>4</td>
<td>dick barnett</td>
<td>g/f</td>
<td>united states</td>
<td>syracuse nationals</td>
<td>tennessee state</td>
</tr>
<tr>
<th>6</th>
<td>1</td>
<td>5</td>
<td>johnny green</td>
<td>f/c</td>
<td>united states</td>
<td>new york knicks</td>
<td>michigan state</td>
</tr>
<tr>
<th>7</th>
<td>1</td>
<td>6</td>
<td>john richter</td>
<td>f</td>
<td>united states</td>
<td>boston celtics</td>
<td>nc state</td>
</tr>
<tr>
<th>8</th>
<td>2</td>
<td>7</td>
<td>tom robitaille</td>
<td>f/c</td>
<td>united states</td>
<td>detroit pistons (from cincinnati)</td>
<td>rice</td>
</tr>
<tr>
<th>9</th>
<td>2</td>
<td>8</td>
<td>don goldstein</td>
<td>f</td>
<td>united states</td>
<td>detroit pistons</td>
<td>louisville</td>
</tr>
<tr>
<th>10</th>
<td>2</td>
<td>9</td>
<td>joe ruklick</td>
<td>f/c</td>
<td>united states</td>
<td>philadelphia warriors</td>
<td>northwestern</td>
</tr>
<tr>
<th>11</th>
<td>2</td>
<td>10</td>
<td>rudy larusso</td>
<td>f/c</td>
<td>united states</td>
<td>minneapolis lakers</td>
<td>dartmouth</td>
</tr>
<tr>
<th>12</th>
<td>2</td>
<td>11</td>
<td>bumper tormohlen</td>
<td>f/c</td>
<td>united states</td>
<td>syracuse nationals</td>
<td>tennessee</td>
</tr>
<tr>
<th>13</th>
<td>2</td>
<td>12</td>
<td>al seiden</td>
<td>g</td>
<td>united states</td>
<td>st. louis hawks (from new york)</td>
<td>st. john's</td>
</tr>
<tr>
<th>14</th>
<td>2</td>
<td>13</td>
<td>cal ramsey</td>
<td>f</td>
<td>united states</td>
<td>st. louis hawks</td>
<td>nyu</td>
</tr>
<tr>
<th>15</th>
<td>2</td>
<td>14</td>
<td>gene guarilia</td>
<td>f</td>
<td>united states</td>
<td>boston celtics</td>
<td>george washington</td>
</tr>
<tr>
<th>16</th>
<td>3</td>
<td>15</td>
<td>mike mendenhall</td>
<td>g</td>
<td>united states</td>
<td>cincinnati royals</td>
<td>cincinnati</td>
</tr>
<tr>
<th>17</th>
<td>3</td>
<td>16</td>
<td>gary alcorn</td>
<td>c</td>
<td>united states</td>
<td>detroit pistons</td>
<td>fresno state</td>
</tr>
<tr>
<th>18</th>
<td>3</td>
<td>17</td>
<td>jim hockaday</td>
<td>f</td>
<td>united states</td>
<td>philadelphia warriors</td>
<td>memphis</td>
</tr>
<tr>
<th>19</th>
<td>3</td>
<td>18</td>
<td>bobby smith</td>
<td>g</td>
<td>united states</td>
<td>minneapolis lakers</td>
<td>west virginia</td>
</tr>
<tr>
<th>20</th>
<td>3</td>
<td>19</td>
<td>jon cincebox</td>
<td>f</td>
<td>united states</td>
<td>syracuse nationals</td>
<td>syracuse</td>
</tr>
<tr>
<th>21</th>
<td>3</td>
<td>20</td>
<td>bob anderegg</td>
<td>g/f</td>
<td>united states</td>
<td>new york knicks</td>
<td>michigan state</td>
</tr>
<tr>
<th>22</th>
<td>3</td>
<td>21</td>
<td>hank stein</td>
<td>g</td>
<td>united states</td>
<td>st. louis hawks</td>
<td>xavier</td>
</tr>
<tr>
<th>23</th>
<td>3</td>
<td>22</td>
<td>ralph crosthwaite</td>
<td>c</td>
<td>united states</td>
<td>boston celtics</td>
<td>western kentucky</td>
</tr>
<tr>
<th>24</th>
<td>4</td>
<td>23</td>
<td>leo byrd</td>
<td>g</td>
<td>united states</td>
<td>cincinnati royals</td>
<td>marshall</td>
</tr>
<tr>
<th>25</th>
<td>4</td>
<td>24</td>
<td>george lee</td>
<td>g/f</td>
<td>united states</td>
<td>detroit pistons</td>
<td>michigan</td>
</tr>
<tr>
<th>26</th>
<td>4</td>
<td>25</td>
<td>ron stevenson</td>
<td>f</td>
<td>united states</td>
<td>philadelphia warriors</td>
<td>tcu</td>
</tr>
<tr>
<th>27</th>
<td>4</td>
<td>26</td>
<td>wilson eison</td>
<td>f</td>
<td>united states</td>
<td>minneapolis lakers</td>
<td>purdue</td>
</tr>
<tr>
<th>28</th>
<td>4</td>
<td>27</td>
<td>paul neumann</td>
<td>g</td>
<td>united states</td>
<td>syracuse nationals</td>
<td>stanford</td>
</tr>
<tr>
<th>29</th>
<td>4</td>
<td>28</td>
<td>johnny cox</td>
<td>g</td>
<td>united states</td>
<td>new york knicks</td>
<td>kentucky</td>
</tr>
<tr>
<th>30</th>
<td>4</td>
<td>29</td>
<td>lee harman</td>
<td>g</td>
<td>united states</td>
<td>st. louis hawks</td>
<td>oregon state</td>
</tr>
<tr>
<th>31</th>
<td>4</td>
<td>30</td>
<td>ed kazakavich</td>
<td>f</td>
<td>united states</td>
<td>boston celtics</td>
<td>scranton</td>
</tr>
<tr>
<th>32</th>
<td>5</td>
<td>31</td>
<td>harry kirchner</td>
<td>g/f</td>
<td>united states</td>
<td>detroit pistons</td>
<td>tcu</td>
</tr>
<tr>
<th>33</th>
<td>5</td>
<td>32</td>
<td>tony windis</td>
<td>g</td>
<td>united states</td>
<td>detroit pistons</td>
<td>wyoming</td>
</tr>
<tr>
<th>34</th>
<td>5</td>
<td>37</td>
<td>nick mantis</td>
<td>g</td>
<td>united states</td>
<td>st. louis hawks</td>
<td>northwestern</td>
</tr>
<tr>
<th>35</th>
<td>8</td>
<td>56</td>
<td>dave gunther</td>
<td>f</td>
<td>united states</td>
<td>philadelphia warriors</td>
<td>iowa</td>
</tr>
<tr>
<th>36</th>
<td>11</td>
<td>77</td>
<td>john barnhill</td>
<td>g</td>
<td>united states</td>
<td>st. louis hawks</td>
<td>tennessee state</td>
</tr>
<tr>
<th>37</th>
<td>14</td>
<td>83</td>
<td>jack israel</td>
<td>g/f</td>
<td>united states</td>
<td>new york knicks</td>
<td>missouri state</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>player</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>mike mendenhall</td>
</tr>
<tr>
<th>1</th>
<td>gary alcorn</td>
</tr>
<tr>
<th>2</th>
<td>jim hockaday</td>
</tr>
<tr>
<th>3</th>
<td>bobby smith</td>
</tr>
<tr>
<th>4</th>
<td>jon cincebox</td>
</tr>
<tr>
<th>5</th>
<td>bob anderegg</td>
</tr>
<tr>
<th>6</th>
<td>hank stein</td>
</tr>
<tr>
<th>7</th>
<td>ralph crosthwaite</td>
</tr>
</tbody>
</table> | select player where round = 3 <table_name> : table | | round | pick | player | position | nationality | team | college |
|---:|:--------|:-------|:------------------|:-----------|:--------------|:----------------------------------|:------------------|
| 0 | t | none | wilt chamberlain | c | united states | philadelphia warriors | kansas |
| 1 | t | none | bob ferry | f/c | united states | st. louis hawks | saint louis |
| 2 | 1 | 1 | bob boozer | f | united states | cincinnati royals | kansas state |
| 3 | 1 | 2 | bailey howell | f | united states | detroit pistons | mississippi state |
| 4 | 1 | 3 | tom hawkins | f | united states | minneapolis lakers | notre dame |
| 5 | 1 | 4 | dick barnett | g/f | united states | syracuse nationals | tennessee state |
| 6 | 1 | 5 | johnny green | f/c | united states | new york knicks | michigan state |
| 7 | 1 | 6 | john richter | f | united states | boston celtics | nc state |
| 8 | 2 | 7 | tom robitaille | f/c | united states | detroit pistons (from cincinnati) | rice |
| 9 | 2 | 8 | don goldstein | f | united states | detroit pistons | louisville |
| 10 | 2 | 9 | joe ruklick | f/c | united states | philadelphia warriors | northwestern |
| 11 | 2 | 10 | rudy larusso | f/c | united states | minneapolis lakers | dartmouth |
| 12 | 2 | 11 | bumper tormohlen | f/c | united states | syracuse nationals | tennessee |
| 13 | 2 | 12 | al seiden | g | united states | st. louis hawks (from new york) | st. john's |
| 14 | 2 | 13 | cal ramsey | f | united states | st. louis hawks | nyu |
| 15 | 2 | 14 | gene guarilia | f | united states | boston celtics | george washington |
| 16 | 3 | 15 | mike mendenhall | g | united states | cincinnati royals | cincinnati |
| 17 | 3 | 16 | gary alcorn | c | united states | detroit pistons | fresno state |
| 18 | 3 | 17 | jim hockaday | f | united states | philadelphia warriors | memphis |
| 19 | 3 | 18 | bobby smith | g | united states | minneapolis lakers | west virginia |
| 20 | 3 | 19 | jon cincebox | f | united states | syracuse nationals | syracuse |
| 21 | 3 | 20 | bob anderegg | g/f | united states | new york knicks | michigan state |
| 22 | 3 | 21 | hank stein | g | united states | st. louis hawks | xavier |
| 23 | 3 | 22 | ralph crosthwaite | c | united states | boston celtics | western kentucky |
| 24 | 4 | 23 | leo byrd | g | united states | cincinnati royals | marshall |
| 25 | 4 | 24 | george lee | g/f | united states | detroit pistons | michigan |
| 26 | 4 | 25 | ron stevenson | f | united states | philadelphia warriors | tcu |
| 27 | 4 | 26 | wilson eison | f | united states | minneapolis lakers | purdue |
| 28 | 4 | 27 | paul neumann | g | united states | syracuse nationals | stanford |
| 29 | 4 | 28 | johnny cox | g | united states | new york knicks | kentucky |
| 30 | 4 | 29 | lee harman | g | united states | st. louis hawks | oregon state |
| 31 | 4 | 30 | ed kazakavich | f | united states | boston celtics | scranton |
| 32 | 5 | 31 | harry kirchner | g/f | united states | detroit pistons | tcu |
| 33 | 5 | 32 | tony windis | g | united states | detroit pistons | wyoming |
| 34 | 5 | 37 | nick mantis | g | united states | st. louis hawks | northwestern |
| 35 | 8 | 56 | dave gunther | f | united states | philadelphia warriors | iowa |
| 36 | 11 | 77 | john barnhill | g | united states | st. louis hawks | tennessee state |
| 37 | 14 | 83 | jack israel | g/f | united states | new york knicks | missouri state | | | | player |
|---:|:------------------|
| 0 | mike mendenhall |
| 1 | gary alcorn |
| 2 | jim hockaday |
| 3 | bobby smith |
| 4 | jon cincebox |
| 5 | bob anderegg |
| 6 | hank stein |
| 7 | ralph crosthwaite | | [
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]
] | [
[
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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select award where award = 'drama desk award' col : year | award | category | nominated work | result row 1 : 1979 | olivier award | best actress in a revival | once in a lifetime | won row 2 : 1981 | tony award | best featured in a play | piaf! | nominated row 3 : 1981 | drama desk award | outstanding featured actress in a play | piaf! | nominated row 4 : 1984 | olivier award | best actress in a revival | twelfth night | nominated row 5 : 1984 | olivier award | best actress in a supporting role | the time of your life | nominated row 6 : 1985 | olivier award | best performance in a supporting role | mother courage | nominated row 7 : 1986 | tony award | best featured actress in a play | loot | nominated row 8 : 1986 | drama desk award | outstanding featured actress in a play | loot | nominated row 9 : 1989/90 | olivier award | best performance in a supporting role | othello | nominated row 10 : 1991 | olivier award | best actress in a supporting role | the crucible | nominated row 11 : 1992 | bafta tv award | best actress | prime suspect | nominated row 12 : 1993 | bafta tv award | best actress | love hurts | nominated row 13 : 1996 | olivier award | best actress | the glass menagerie | nominated row 14 : 1998 | bafta film award | best supporting actress | wilde | nominated row 15 : 1998 | olivier award | best actress | electra | won row 16 : 1999 | tony award | best actress in a play | electra | nominated row 17 : 1999 | drama desk award | outstanding actress in a play | electra | nominated row 18 : 2002 | olivier award | best actress | boston marriage | nominated row 19 : 2006 | tony award | best featured actress in a play | awake and sing! | nominated | col : award row 1 : drama desk award row 2 : drama desk award row 3 : drama desk award | select award where award = 'drama desk award' <table_name> : table \begin{tabular}{llllll}
\toprule
& year & award & category & nominated work & result \\
\midrule
0 & 1979 & olivier award & best actress in a revival & once in a lifetime & won \\
1 & 1981 & tony award & best featured in a play & piaf! & nominated \\
2 & 1981 & drama desk award & outstanding featured actress in a play & piaf! & nominated \\
3 & 1984 & olivier award & best actress in a revival & twelfth night & nominated \\
4 & 1984 & olivier award & best actress in a supporting role & the time of your life & nominated \\
5 & 1985 & olivier award & best performance in a supporting role & mother courage & nominated \\
6 & 1986 & tony award & best featured actress in a play & loot & nominated \\
7 & 1986 & drama desk award & outstanding featured actress in a play & loot & nominated \\
8 & 1989/90 & olivier award & best performance in a supporting role & othello & nominated \\
9 & 1991 & olivier award & best actress in a supporting role & the crucible & nominated \\
10 & 1992 & bafta tv award & best actress & prime suspect & nominated \\
11 & 1993 & bafta tv award & best actress & love hurts & nominated \\
12 & 1996 & olivier award & best actress & the glass menagerie & nominated \\
13 & 1998 & bafta film award & best supporting actress & wilde & nominated \\
14 & 1998 & olivier award & best actress & electra & won \\
15 & 1999 & tony award & best actress in a play & electra & nominated \\
16 & 1999 & drama desk award & outstanding actress in a play & electra & nominated \\
17 & 2002 & olivier award & best actress & boston marriage & nominated \\
18 & 2006 & tony award & best featured actress in a play & awake and sing! & nominated \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& award \\
\midrule
0 & drama desk award \\
1 & drama desk award \\
2 & drama desk award \\
\bottomrule
\end{tabular}
| select award where award = 'drama desk award' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>award</th>
<th>category</th>
<th>nominated work</th>
<th>result</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1979</td>
<td>olivier award</td>
<td>best actress in a revival</td>
<td>once in a lifetime</td>
<td>won</td>
</tr>
<tr>
<th>1</th>
<td>1981</td>
<td>tony award</td>
<td>best featured in a play</td>
<td>piaf!</td>
<td>nominated</td>
</tr>
<tr>
<th>2</th>
<td>1981</td>
<td>drama desk award</td>
<td>outstanding featured actress in a play</td>
<td>piaf!</td>
<td>nominated</td>
</tr>
<tr>
<th>3</th>
<td>1984</td>
<td>olivier award</td>
<td>best actress in a revival</td>
<td>twelfth night</td>
<td>nominated</td>
</tr>
<tr>
<th>4</th>
<td>1984</td>
<td>olivier award</td>
<td>best actress in a supporting role</td>
<td>the time of your life</td>
<td>nominated</td>
</tr>
<tr>
<th>5</th>
<td>1985</td>
<td>olivier award</td>
<td>best performance in a supporting role</td>
<td>mother courage</td>
<td>nominated</td>
</tr>
<tr>
<th>6</th>
<td>1986</td>
<td>tony award</td>
<td>best featured actress in a play</td>
<td>loot</td>
<td>nominated</td>
</tr>
<tr>
<th>7</th>
<td>1986</td>
<td>drama desk award</td>
<td>outstanding featured actress in a play</td>
<td>loot</td>
<td>nominated</td>
</tr>
<tr>
<th>8</th>
<td>1989/90</td>
<td>olivier award</td>
<td>best performance in a supporting role</td>
<td>othello</td>
<td>nominated</td>
</tr>
<tr>
<th>9</th>
<td>1991</td>
<td>olivier award</td>
<td>best actress in a supporting role</td>
<td>the crucible</td>
<td>nominated</td>
</tr>
<tr>
<th>10</th>
<td>1992</td>
<td>bafta tv award</td>
<td>best actress</td>
<td>prime suspect</td>
<td>nominated</td>
</tr>
<tr>
<th>11</th>
<td>1993</td>
<td>bafta tv award</td>
<td>best actress</td>
<td>love hurts</td>
<td>nominated</td>
</tr>
<tr>
<th>12</th>
<td>1996</td>
<td>olivier award</td>
<td>best actress</td>
<td>the glass menagerie</td>
<td>nominated</td>
</tr>
<tr>
<th>13</th>
<td>1998</td>
<td>bafta film award</td>
<td>best supporting actress</td>
<td>wilde</td>
<td>nominated</td>
</tr>
<tr>
<th>14</th>
<td>1998</td>
<td>olivier award</td>
<td>best actress</td>
<td>electra</td>
<td>won</td>
</tr>
<tr>
<th>15</th>
<td>1999</td>
<td>tony award</td>
<td>best actress in a play</td>
<td>electra</td>
<td>nominated</td>
</tr>
<tr>
<th>16</th>
<td>1999</td>
<td>drama desk award</td>
<td>outstanding actress in a play</td>
<td>electra</td>
<td>nominated</td>
</tr>
<tr>
<th>17</th>
<td>2002</td>
<td>olivier award</td>
<td>best actress</td>
<td>boston marriage</td>
<td>nominated</td>
</tr>
<tr>
<th>18</th>
<td>2006</td>
<td>tony award</td>
<td>best featured actress in a play</td>
<td>awake and sing!</td>
<td>nominated</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>award</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>drama desk award</td>
</tr>
<tr>
<th>1</th>
<td>drama desk award</td>
</tr>
<tr>
<th>2</th>
<td>drama desk award</td>
</tr>
</tbody>
</table> | select award where award = 'drama desk award' <table_name> : table | | year | award | category | nominated work | result |
|---:|:--------|:-----------------|:---------------------------------------|:----------------------|:----------|
| 0 | 1979 | olivier award | best actress in a revival | once in a lifetime | won |
| 1 | 1981 | tony award | best featured in a play | piaf! | nominated |
| 2 | 1981 | drama desk award | outstanding featured actress in a play | piaf! | nominated |
| 3 | 1984 | olivier award | best actress in a revival | twelfth night | nominated |
| 4 | 1984 | olivier award | best actress in a supporting role | the time of your life | nominated |
| 5 | 1985 | olivier award | best performance in a supporting role | mother courage | nominated |
| 6 | 1986 | tony award | best featured actress in a play | loot | nominated |
| 7 | 1986 | drama desk award | outstanding featured actress in a play | loot | nominated |
| 8 | 1989/90 | olivier award | best performance in a supporting role | othello | nominated |
| 9 | 1991 | olivier award | best actress in a supporting role | the crucible | nominated |
| 10 | 1992 | bafta tv award | best actress | prime suspect | nominated |
| 11 | 1993 | bafta tv award | best actress | love hurts | nominated |
| 12 | 1996 | olivier award | best actress | the glass menagerie | nominated |
| 13 | 1998 | bafta film award | best supporting actress | wilde | nominated |
| 14 | 1998 | olivier award | best actress | electra | won |
| 15 | 1999 | tony award | best actress in a play | electra | nominated |
| 16 | 1999 | drama desk award | outstanding actress in a play | electra | nominated |
| 17 | 2002 | olivier award | best actress | boston marriage | nominated |
| 18 | 2006 | tony award | best featured actress in a play | awake and sing! | nominated | | | | award |
|---:|:-----------------|
| 0 | drama desk award |
| 1 | drama desk award |
| 2 | drama desk award | | [
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select driver where pos = 5 col : pos | no | driver | constructor | laps | time/retired | grid | points row 1 : 1 | 9 | kimi raikkonen | mclaren-mercedes | 44 | 1:30:01.295 | 2 | 10 row 2 : 2 | 5 | fernando alonso | renault | 44 | 28.394 | 4 | 8 row 3 : 3 | 3 | jenson button | bar-honda | 44 | 32.077 | 8 | 6 row 4 : 4 | 7 | mark webber | williams-bmw | 44 | +1:09.167 | 9 | 5 row 5 : 5 | 2 | rubens barrichello | ferrari | 44 | +1:18.136 | 12 | 4 row 6 : 6 | 11 | jacques villeneuve | sauber-petronas | 44 | +1:27.435 | 14 | 3 row 7 : 7 | 17 | ralf schumacher | toyota | 44 | +1:27.574 | 5 | 2 row 8 : 8 | 18 | tiago monteiro | jordan-toyota | 43 | +1 lap | 19 | 1 row 9 : 9 | 15 | christian klien | red bull-cosworth | 43 | +1 lap | 16 | none row 10 : 10 | 12 | felipe massa | sauber-petronas | 43 | +1 lap | 7 | none row 11 : 11 | 19 | narain karthikeyan | jordan-toyota | 43 | +1 lap | 20 | none row 12 : 12 | 21 | christijan albers | minardi-cosworth | 42 | +2 laps | 18 | none row 13 : 13 | 20 | robert doornbos | minardi-cosworth | 41 | +3 laps | 17 | none row 14 : 14 | 10 | juan pablo montoya | mclaren-mercedes | 40 | collision | 1 | none row 15 : 15 | 8 | antonio pizzonia | williams-bmw | 39 | collision | 15 | none row 16 : ret | 16 | jarno trulli | toyota | 34 | accident | 3 | none row 17 : ret | 14 | david coulthard | red bull-cosworth | 18 | engine | 11 | none row 18 : ret | 1 | michael schumacher | ferrari | 13 | collision | 6 | none row 19 : ret | 4 | takuma sato | bar-honda | 13 | collision | 10 | none row 20 : ret | 6 | giancarlo fisichella | renault | 10 | accident | 13 | none | col : driver row 1 : rubens barrichello | select driver where pos = 5 <table_name> : table \begin{tabular}{lllllllll}
\toprule
& pos & no & driver & constructor & laps & time/retired & grid & points \\
\midrule
0 & 1 & 9 & kimi raikkonen & mclaren-mercedes & 44 & 1:30:01.295 & 2 & 10 \\
1 & 2 & 5 & fernando alonso & renault & 44 & 28.394 & 4 & 8 \\
2 & 3 & 3 & jenson button & bar-honda & 44 & 32.077 & 8 & 6 \\
3 & 4 & 7 & mark webber & williams-bmw & 44 & +1:09.167 & 9 & 5 \\
4 & 5 & 2 & rubens barrichello & ferrari & 44 & +1:18.136 & 12 & 4 \\
5 & 6 & 11 & jacques villeneuve & sauber-petronas & 44 & +1:27.435 & 14 & 3 \\
6 & 7 & 17 & ralf schumacher & toyota & 44 & +1:27.574 & 5 & 2 \\
7 & 8 & 18 & tiago monteiro & jordan-toyota & 43 & +1 lap & 19 & 1 \\
8 & 9 & 15 & christian klien & red bull-cosworth & 43 & +1 lap & 16 & none \\
9 & 10 & 12 & felipe massa & sauber-petronas & 43 & +1 lap & 7 & none \\
10 & 11 & 19 & narain karthikeyan & jordan-toyota & 43 & +1 lap & 20 & none \\
11 & 12 & 21 & christijan albers & minardi-cosworth & 42 & +2 laps & 18 & none \\
12 & 13 & 20 & robert doornbos & minardi-cosworth & 41 & +3 laps & 17 & none \\
13 & 14 & 10 & juan pablo montoya & mclaren-mercedes & 40 & collision & 1 & none \\
14 & 15 & 8 & antonio pizzonia & williams-bmw & 39 & collision & 15 & none \\
15 & ret & 16 & jarno trulli & toyota & 34 & accident & 3 & none \\
16 & ret & 14 & david coulthard & red bull-cosworth & 18 & engine & 11 & none \\
17 & ret & 1 & michael schumacher & ferrari & 13 & collision & 6 & none \\
18 & ret & 4 & takuma sato & bar-honda & 13 & collision & 10 & none \\
19 & ret & 6 & giancarlo fisichella & renault & 10 & accident & 13 & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& driver \\
\midrule
0 & rubens barrichello \\
\bottomrule
\end{tabular}
| select driver where pos = 5 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>pos</th>
<th>no</th>
<th>driver</th>
<th>constructor</th>
<th>laps</th>
<th>time/retired</th>
<th>grid</th>
<th>points</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>9</td>
<td>kimi raikkonen</td>
<td>mclaren-mercedes</td>
<td>44</td>
<td>1:30:01.295</td>
<td>2</td>
<td>10</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>5</td>
<td>fernando alonso</td>
<td>renault</td>
<td>44</td>
<td>28.394</td>
<td>4</td>
<td>8</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>3</td>
<td>jenson button</td>
<td>bar-honda</td>
<td>44</td>
<td>32.077</td>
<td>8</td>
<td>6</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>7</td>
<td>mark webber</td>
<td>williams-bmw</td>
<td>44</td>
<td>+1:09.167</td>
<td>9</td>
<td>5</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>2</td>
<td>rubens barrichello</td>
<td>ferrari</td>
<td>44</td>
<td>+1:18.136</td>
<td>12</td>
<td>4</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>11</td>
<td>jacques villeneuve</td>
<td>sauber-petronas</td>
<td>44</td>
<td>+1:27.435</td>
<td>14</td>
<td>3</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>17</td>
<td>ralf schumacher</td>
<td>toyota</td>
<td>44</td>
<td>+1:27.574</td>
<td>5</td>
<td>2</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>18</td>
<td>tiago monteiro</td>
<td>jordan-toyota</td>
<td>43</td>
<td>+1 lap</td>
<td>19</td>
<td>1</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>15</td>
<td>christian klien</td>
<td>red bull-cosworth</td>
<td>43</td>
<td>+1 lap</td>
<td>16</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>12</td>
<td>felipe massa</td>
<td>sauber-petronas</td>
<td>43</td>
<td>+1 lap</td>
<td>7</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>19</td>
<td>narain karthikeyan</td>
<td>jordan-toyota</td>
<td>43</td>
<td>+1 lap</td>
<td>20</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>21</td>
<td>christijan albers</td>
<td>minardi-cosworth</td>
<td>42</td>
<td>+2 laps</td>
<td>18</td>
<td>none</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>20</td>
<td>robert doornbos</td>
<td>minardi-cosworth</td>
<td>41</td>
<td>+3 laps</td>
<td>17</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>10</td>
<td>juan pablo montoya</td>
<td>mclaren-mercedes</td>
<td>40</td>
<td>collision</td>
<td>1</td>
<td>none</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>8</td>
<td>antonio pizzonia</td>
<td>williams-bmw</td>
<td>39</td>
<td>collision</td>
<td>15</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>ret</td>
<td>16</td>
<td>jarno trulli</td>
<td>toyota</td>
<td>34</td>
<td>accident</td>
<td>3</td>
<td>none</td>
</tr>
<tr>
<th>16</th>
<td>ret</td>
<td>14</td>
<td>david coulthard</td>
<td>red bull-cosworth</td>
<td>18</td>
<td>engine</td>
<td>11</td>
<td>none</td>
</tr>
<tr>
<th>17</th>
<td>ret</td>
<td>1</td>
<td>michael schumacher</td>
<td>ferrari</td>
<td>13</td>
<td>collision</td>
<td>6</td>
<td>none</td>
</tr>
<tr>
<th>18</th>
<td>ret</td>
<td>4</td>
<td>takuma sato</td>
<td>bar-honda</td>
<td>13</td>
<td>collision</td>
<td>10</td>
<td>none</td>
</tr>
<tr>
<th>19</th>
<td>ret</td>
<td>6</td>
<td>giancarlo fisichella</td>
<td>renault</td>
<td>10</td>
<td>accident</td>
<td>13</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>driver</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>rubens barrichello</td>
</tr>
</tbody>
</table> | select driver where pos = 5 <table_name> : table | | pos | no | driver | constructor | laps | time/retired | grid | points |
|---:|:------|-----:|:---------------------|:------------------|-------:|:---------------|-------:|:---------|
| 0 | 1 | 9 | kimi raikkonen | mclaren-mercedes | 44 | 1:30:01.295 | 2 | 10 |
| 1 | 2 | 5 | fernando alonso | renault | 44 | 28.394 | 4 | 8 |
| 2 | 3 | 3 | jenson button | bar-honda | 44 | 32.077 | 8 | 6 |
| 3 | 4 | 7 | mark webber | williams-bmw | 44 | +1:09.167 | 9 | 5 |
| 4 | 5 | 2 | rubens barrichello | ferrari | 44 | +1:18.136 | 12 | 4 |
| 5 | 6 | 11 | jacques villeneuve | sauber-petronas | 44 | +1:27.435 | 14 | 3 |
| 6 | 7 | 17 | ralf schumacher | toyota | 44 | +1:27.574 | 5 | 2 |
| 7 | 8 | 18 | tiago monteiro | jordan-toyota | 43 | +1 lap | 19 | 1 |
| 8 | 9 | 15 | christian klien | red bull-cosworth | 43 | +1 lap | 16 | none |
| 9 | 10 | 12 | felipe massa | sauber-petronas | 43 | +1 lap | 7 | none |
| 10 | 11 | 19 | narain karthikeyan | jordan-toyota | 43 | +1 lap | 20 | none |
| 11 | 12 | 21 | christijan albers | minardi-cosworth | 42 | +2 laps | 18 | none |
| 12 | 13 | 20 | robert doornbos | minardi-cosworth | 41 | +3 laps | 17 | none |
| 13 | 14 | 10 | juan pablo montoya | mclaren-mercedes | 40 | collision | 1 | none |
| 14 | 15 | 8 | antonio pizzonia | williams-bmw | 39 | collision | 15 | none |
| 15 | ret | 16 | jarno trulli | toyota | 34 | accident | 3 | none |
| 16 | ret | 14 | david coulthard | red bull-cosworth | 18 | engine | 11 | none |
| 17 | ret | 1 | michael schumacher | ferrari | 13 | collision | 6 | none |
| 18 | ret | 4 | takuma sato | bar-honda | 13 | collision | 10 | none |
| 19 | ret | 6 | giancarlo fisichella | renault | 10 | accident | 13 | none | | | | driver |
|---:|:-------------------|
| 0 | rubens barrichello | | [
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select count ( * ) where a technical = 'destinations in time' col : season | a technical | b scientific | c fine arts | d improvisational | e structural | rising stars!® | po projectoutreach® | university level row 1 : 2014-2015 | creature feature | making waves | feary tales | the improv games | lose to win | animal mish mash | brand aid | it's a stretch row 2 : 2013-2014 | dig in | going to extremes | laugh art loud | pandemonium! | the tension builds | circus! | pitch and play | none row 3 : 2012-2013 | in the zone | windvisible | in disguise | change in realitee | twist-o-rama | roy g biv | real to reel | none row 4 : 2011-2012 | assembly required | the solar stage | coming attractions | news to me | hold it! | built to last | the world canvas | none row 5 : 2010-2011 | unidentified moving object | spinning a tale | triple take road show | mythology mission | verses! foiled again! | big bug's bad day | dynamic networks | none row 6 : 2009-2010 | direct diposit | di-bot | you're gonna flip! | do or di | breaking di news | weighty news | band together | none row 7 : 2008-2009 | operation cooperation | instinct messaging | vidio lit hits | private di | a new angle! | hidden! | take charge | none row 8 : 2007-2008 | obstacles, of course! | hit or myth | di've got a secret! | chorific! | switch! | twisdid history | none | none row 9 : 2006-2007 | direct flight | csi-di | round about courage | switching traditions | card-di-ology | make it new, it's up to you | none | none row 10 : 2005-2006 | back at you! | kidz rulz! | how'd that happen? | on safari | the inside dimension | 1-2-change-a-roo | none | none row 11 : 2004-2005 | dizzy derby | sudden serendipity | live! it's radio di! | improving along | disigning bridges | more to the story! | none | none row 12 : 2003-2004 | destinations in time | the plot and the pendulum | cartoon dimensions | upbeat improv | guessdimate! | surprise trip! | none | none row 13 : 2002-2003 | change in direction | vidio adventure | theatre smarts | once improv a time | connecdid | lost and found | none | none row 14 : 2001-2002 | it's your move | strandid | on holiday | the art of improv | dual di-lemma | none | none | none row 15 : 2000-2001 | incredible techeffects | mystery loves company | anonymously yours | dinamic improv | triplicity | none | none | none row 16 : 1999-2000 | fruit roller coaster & eggploration | if music be the food of life... play on! | mixing apples and oranges | instant pudding improv | it's not impastable! | none | none | none | col : count ( "*" ) row 1 : 1 | select count ( * ) where a technical = 'destinations in time' <table_name> : table \begin{tabular}{llllllllll}
\toprule
& season & a technical & b scientific & c fine arts & d improvisational & e structural & rising stars!® & po projectoutreach® & university level \\
\midrule
0 & 2014-2015 & creature feature & making waves & feary tales & the improv games & lose to win & animal mish mash & brand aid & it's a stretch \\
1 & 2013-2014 & dig in & going to extremes & laugh art loud & pandemonium! & the tension builds & circus! & pitch and play & none \\
2 & 2012-2013 & in the zone & windvisible & in disguise & change in realitee & twist-o-rama & roy g biv & real to reel & none \\
3 & 2011-2012 & assembly required & the solar stage & coming attractions & news to me & hold it! & built to last & the world canvas & none \\
4 & 2010-2011 & unidentified moving object & spinning a tale & triple take road show & mythology mission & verses! foiled again! & big bug's bad day & dynamic networks & none \\
5 & 2009-2010 & direct diposit & di-bot & you're gonna flip! & do or di & breaking di news & weighty news & band together & none \\
6 & 2008-2009 & operation cooperation & instinct messaging & vidio lit hits & private di & a new angle! & hidden! & take charge & none \\
7 & 2007-2008 & obstacles, of course! & hit or myth & di've got a secret! & chorific! & switch! & twisdid history & none & none \\
8 & 2006-2007 & direct flight & csi-di & round about courage & switching traditions & card-di-ology & make it new, it's up to you & none & none \\
9 & 2005-2006 & back at you! & kidz rulz! & how'd that happen? & on safari & the inside dimension & 1-2-change-a-roo & none & none \\
10 & 2004-2005 & dizzy derby & sudden serendipity & live! it's radio di! & improving along & disigning bridges & more to the story! & none & none \\
11 & 2003-2004 & destinations in time & the plot and the pendulum & cartoon dimensions & upbeat improv & guessdimate! & surprise trip! & none & none \\
12 & 2002-2003 & change in direction & vidio adventure & theatre smarts & once improv a time & connecdid & lost and found & none & none \\
13 & 2001-2002 & it's your move & strandid & on holiday & the art of improv & dual di-lemma & none & none & none \\
14 & 2000-2001 & incredible techeffects & mystery loves company & anonymously yours & dinamic improv & triplicity & none & none & none \\
15 & 1999-2000 & fruit roller coaster & eggploration & if music be the food of life... play on! & mixing apples and oranges & instant pudding improv & it's not impastable! & none & none & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( * ) where a technical = 'destinations in time' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>season</th>
<th>a technical</th>
<th>b scientific</th>
<th>c fine arts</th>
<th>d improvisational</th>
<th>e structural</th>
<th>rising stars!®</th>
<th>po projectoutreach®</th>
<th>university level</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2014-2015</td>
<td>creature feature</td>
<td>making waves</td>
<td>feary tales</td>
<td>the improv games</td>
<td>lose to win</td>
<td>animal mish mash</td>
<td>brand aid</td>
<td>it's a stretch</td>
</tr>
<tr>
<th>1</th>
<td>2013-2014</td>
<td>dig in</td>
<td>going to extremes</td>
<td>laugh art loud</td>
<td>pandemonium!</td>
<td>the tension builds</td>
<td>circus!</td>
<td>pitch and play</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>2012-2013</td>
<td>in the zone</td>
<td>windvisible</td>
<td>in disguise</td>
<td>change in realitee</td>
<td>twist-o-rama</td>
<td>roy g biv</td>
<td>real to reel</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>2011-2012</td>
<td>assembly required</td>
<td>the solar stage</td>
<td>coming attractions</td>
<td>news to me</td>
<td>hold it!</td>
<td>built to last</td>
<td>the world canvas</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>2010-2011</td>
<td>unidentified moving object</td>
<td>spinning a tale</td>
<td>triple take road show</td>
<td>mythology mission</td>
<td>verses! foiled again!</td>
<td>big bug's bad day</td>
<td>dynamic networks</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>2009-2010</td>
<td>direct diposit</td>
<td>di-bot</td>
<td>you're gonna flip!</td>
<td>do or di</td>
<td>breaking di news</td>
<td>weighty news</td>
<td>band together</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>2008-2009</td>
<td>operation cooperation</td>
<td>instinct messaging</td>
<td>vidio lit hits</td>
<td>private di</td>
<td>a new angle!</td>
<td>hidden!</td>
<td>take charge</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>2007-2008</td>
<td>obstacles, of course!</td>
<td>hit or myth</td>
<td>di've got a secret!</td>
<td>chorific!</td>
<td>switch!</td>
<td>twisdid history</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>2006-2007</td>
<td>direct flight</td>
<td>csi-di</td>
<td>round about courage</td>
<td>switching traditions</td>
<td>card-di-ology</td>
<td>make it new, it's up to you</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>2005-2006</td>
<td>back at you!</td>
<td>kidz rulz!</td>
<td>how'd that happen?</td>
<td>on safari</td>
<td>the inside dimension</td>
<td>1-2-change-a-roo</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>2004-2005</td>
<td>dizzy derby</td>
<td>sudden serendipity</td>
<td>live! it's radio di!</td>
<td>improving along</td>
<td>disigning bridges</td>
<td>more to the story!</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>2003-2004</td>
<td>destinations in time</td>
<td>the plot and the pendulum</td>
<td>cartoon dimensions</td>
<td>upbeat improv</td>
<td>guessdimate!</td>
<td>surprise trip!</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>12</th>
<td>2002-2003</td>
<td>change in direction</td>
<td>vidio adventure</td>
<td>theatre smarts</td>
<td>once improv a time</td>
<td>connecdid</td>
<td>lost and found</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>2001-2002</td>
<td>it's your move</td>
<td>strandid</td>
<td>on holiday</td>
<td>the art of improv</td>
<td>dual di-lemma</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>14</th>
<td>2000-2001</td>
<td>incredible techeffects</td>
<td>mystery loves company</td>
<td>anonymously yours</td>
<td>dinamic improv</td>
<td>triplicity</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>1999-2000</td>
<td>fruit roller coaster & eggploration</td>
<td>if music be the food of life... play on!</td>
<td>mixing apples and oranges</td>
<td>instant pudding improv</td>
<td>it's not impastable!</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( * ) where a technical = 'destinations in time' <table_name> : table | | season | a technical | b scientific | c fine arts | d improvisational | e structural | rising stars!® | po projectoutreach® | university level |
|---:|:----------|:------------------------------------|:-----------------------------------------|:--------------------------|:-----------------------|:----------------------|:----------------------------|:----------------------|:-------------------|
| 0 | 2014-2015 | creature feature | making waves | feary tales | the improv games | lose to win | animal mish mash | brand aid | it's a stretch |
| 1 | 2013-2014 | dig in | going to extremes | laugh art loud | pandemonium! | the tension builds | circus! | pitch and play | none |
| 2 | 2012-2013 | in the zone | windvisible | in disguise | change in realitee | twist-o-rama | roy g biv | real to reel | none |
| 3 | 2011-2012 | assembly required | the solar stage | coming attractions | news to me | hold it! | built to last | the world canvas | none |
| 4 | 2010-2011 | unidentified moving object | spinning a tale | triple take road show | mythology mission | verses! foiled again! | big bug's bad day | dynamic networks | none |
| 5 | 2009-2010 | direct diposit | di-bot | you're gonna flip! | do or di | breaking di news | weighty news | band together | none |
| 6 | 2008-2009 | operation cooperation | instinct messaging | vidio lit hits | private di | a new angle! | hidden! | take charge | none |
| 7 | 2007-2008 | obstacles, of course! | hit or myth | di've got a secret! | chorific! | switch! | twisdid history | none | none |
| 8 | 2006-2007 | direct flight | csi-di | round about courage | switching traditions | card-di-ology | make it new, it's up to you | none | none |
| 9 | 2005-2006 | back at you! | kidz rulz! | how'd that happen? | on safari | the inside dimension | 1-2-change-a-roo | none | none |
| 10 | 2004-2005 | dizzy derby | sudden serendipity | live! it's radio di! | improving along | disigning bridges | more to the story! | none | none |
| 11 | 2003-2004 | destinations in time | the plot and the pendulum | cartoon dimensions | upbeat improv | guessdimate! | surprise trip! | none | none |
| 12 | 2002-2003 | change in direction | vidio adventure | theatre smarts | once improv a time | connecdid | lost and found | none | none |
| 13 | 2001-2002 | it's your move | strandid | on holiday | the art of improv | dual di-lemma | none | none | none |
| 14 | 2000-2001 | incredible techeffects | mystery loves company | anonymously yours | dinamic improv | triplicity | none | none | none |
| 15 | 1999-2000 | fruit roller coaster & eggploration | if music be the food of life... play on! | mixing apples and oranges | instant pudding improv | it's not impastable! | none | none | none | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 1 | | [
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select count ( date ) where attendance < 291 col : date | round | opponent | venue | result | attendance | scorers row 1 : 1992-09-16 00:00:00 | r1 | lyngby | h | 2-0 | 40036 | hateley, huistra row 2 : 1992-09-30 00:00:00 | r1 | lyngby | a | 1-0 | 4273 | durrant row 3 : 1992-10-21 00:00:00 | r2 | leeds united | h | 2-1 | 43251 | mccoist, lukic (o.g.) row 4 : 1992-11-04 00:00:00 | r2 | leeds united | a | 2-1 | 25118 | hateley, mccoist row 5 : 1992-11-25 00:00:00 | gs | marseille | h | 2-2 | 41624 | mcswegan, hateley row 6 : 1992-12-09 00:00:00 | gs | cska moscow | a | 1-0 | 9000 | ferguson row 7 : 1993-03-03 00:00:00 | gs | club brugge | a | 1-1 | 19000 | huistra row 8 : 1993-03-17 00:00:00 | gs | club brugge | h | 2-1 | 42731 | durrant, nisbet row 9 : 1993-04-07 00:00:00 | gs | marseille | a | 1-1 | 46000 | durrant row 10 : 1993-04-21 00:00:00 | gs | cska moscow | h | 0-0 | 43142 | none | col : count ( "date" ) row 1 : 2 | select count ( date ) where attendance < 291 <table_name> : table \begin{tabular}{llllllll}
\toprule
& date & round & opponent & venue & result & attendance & scorers \\
\midrule
0 & 1992-09-16 00:00:00 & r1 & lyngby & h & 2-0 & 40036 & hateley, huistra \\
1 & 1992-09-30 00:00:00 & r1 & lyngby & a & 1-0 & 4273 & durrant \\
2 & 1992-10-21 00:00:00 & r2 & leeds united & h & 2-1 & 43251 & mccoist, lukic (o.g.) \\
3 & 1992-11-04 00:00:00 & r2 & leeds united & a & 2-1 & 25118 & hateley, mccoist \\
4 & 1992-11-25 00:00:00 & gs & marseille & h & 2-2 & 41624 & mcswegan, hateley \\
5 & 1992-12-09 00:00:00 & gs & cska moscow & a & 1-0 & 9000 & ferguson \\
6 & 1993-03-03 00:00:00 & gs & club brugge & a & 1-1 & 19000 & huistra \\
7 & 1993-03-17 00:00:00 & gs & club brugge & h & 2-1 & 42731 & durrant, nisbet \\
8 & 1993-04-07 00:00:00 & gs & marseille & a & 1-1 & 46000 & durrant \\
9 & 1993-04-21 00:00:00 & gs & cska moscow & h & 0-0 & 43142 & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "date" ) \\
\midrule
0 & 2 \\
\bottomrule
\end{tabular}
| select count ( date ) where attendance < 291 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>date</th>
<th>round</th>
<th>opponent</th>
<th>venue</th>
<th>result</th>
<th>attendance</th>
<th>scorers</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1992-09-16 00:00:00</td>
<td>r1</td>
<td>lyngby</td>
<td>h</td>
<td>2-0</td>
<td>40036</td>
<td>hateley, huistra</td>
</tr>
<tr>
<th>1</th>
<td>1992-09-30 00:00:00</td>
<td>r1</td>
<td>lyngby</td>
<td>a</td>
<td>1-0</td>
<td>4273</td>
<td>durrant</td>
</tr>
<tr>
<th>2</th>
<td>1992-10-21 00:00:00</td>
<td>r2</td>
<td>leeds united</td>
<td>h</td>
<td>2-1</td>
<td>43251</td>
<td>mccoist, lukic (o.g.)</td>
</tr>
<tr>
<th>3</th>
<td>1992-11-04 00:00:00</td>
<td>r2</td>
<td>leeds united</td>
<td>a</td>
<td>2-1</td>
<td>25118</td>
<td>hateley, mccoist</td>
</tr>
<tr>
<th>4</th>
<td>1992-11-25 00:00:00</td>
<td>gs</td>
<td>marseille</td>
<td>h</td>
<td>2-2</td>
<td>41624</td>
<td>mcswegan, hateley</td>
</tr>
<tr>
<th>5</th>
<td>1992-12-09 00:00:00</td>
<td>gs</td>
<td>cska moscow</td>
<td>a</td>
<td>1-0</td>
<td>9000</td>
<td>ferguson</td>
</tr>
<tr>
<th>6</th>
<td>1993-03-03 00:00:00</td>
<td>gs</td>
<td>club brugge</td>
<td>a</td>
<td>1-1</td>
<td>19000</td>
<td>huistra</td>
</tr>
<tr>
<th>7</th>
<td>1993-03-17 00:00:00</td>
<td>gs</td>
<td>club brugge</td>
<td>h</td>
<td>2-1</td>
<td>42731</td>
<td>durrant, nisbet</td>
</tr>
<tr>
<th>8</th>
<td>1993-04-07 00:00:00</td>
<td>gs</td>
<td>marseille</td>
<td>a</td>
<td>1-1</td>
<td>46000</td>
<td>durrant</td>
</tr>
<tr>
<th>9</th>
<td>1993-04-21 00:00:00</td>
<td>gs</td>
<td>cska moscow</td>
<td>h</td>
<td>0-0</td>
<td>43142</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "date" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2</td>
</tr>
</tbody>
</table> | select count ( date ) where attendance < 291 <table_name> : table | | date | round | opponent | venue | result | attendance | scorers |
|---:|:--------------------|:--------|:-------------|:--------|:---------|-------------:|:----------------------|
| 0 | 1992-09-16 00:00:00 | r1 | lyngby | h | 2-0 | 40036 | hateley, huistra |
| 1 | 1992-09-30 00:00:00 | r1 | lyngby | a | 1-0 | 4273 | durrant |
| 2 | 1992-10-21 00:00:00 | r2 | leeds united | h | 2-1 | 43251 | mccoist, lukic (o.g.) |
| 3 | 1992-11-04 00:00:00 | r2 | leeds united | a | 2-1 | 25118 | hateley, mccoist |
| 4 | 1992-11-25 00:00:00 | gs | marseille | h | 2-2 | 41624 | mcswegan, hateley |
| 5 | 1992-12-09 00:00:00 | gs | cska moscow | a | 1-0 | 9000 | ferguson |
| 6 | 1993-03-03 00:00:00 | gs | club brugge | a | 1-1 | 19000 | huistra |
| 7 | 1993-03-17 00:00:00 | gs | club brugge | h | 2-1 | 42731 | durrant, nisbet |
| 8 | 1993-04-07 00:00:00 | gs | marseille | a | 1-1 | 46000 | durrant |
| 9 | 1993-04-21 00:00:00 | gs | cska moscow | h | 0-0 | 43142 | none | | | | count ( "date" ) |
|---:|-------------------:|
| 0 | 2 | | [
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] |
select coach where coach = 'ed sabre' col : coach | years | seasons | wins | losses | ties | pct row 1 : o. b. "rip" sanderson | 1908 | 1 | 5 | 1 | 0 | 0.833 row 2 : ed sabre | 1920 | 1 | 3 | 1 | 0 | 0.75 row 3 : mack erwin | 1957-60 | 4 | 62 | 30 | 1 | 0.672 row 4 : chal port | 1965-91 | 27 | 641 | 386 | 2 | 0.624 row 5 : fred jordan | 1992-pres | 22 | 726 | 552 | 0 | 0.568 row 6 : john d. mcmillan | 1952-53 | 2 | 14 | 15 | 0 | 0.483 row 7 : jim newsome | 1961-64 | 4 | 37 | 43 | 0 | 0.463 row 8 : bunzy o'neal | 1948 | 1 | 6 | 7 | 0 | 0.462 row 9 : george c. rogers | 1914-15, 1921-24 | 6 | 26 | 33 | 1 | 0.441 row 10 : fred montsdeoca | 1954-56 | 2 | 22 | 31 | 0 | 0.415 row 11 : george a. schmick | 1910 | 1 | 4 | 6 | 0 | 0.4 row 12 : thomas s. mcmillan | 1916, 1919 | 2 | 8 | 12 | 0 | 0.4 row 13 : harold manley | 1954 | 1 | 5 | 9 | 0 | 0.357 row 14 : "barney" legge | 1911 | 1 | 2 | 5 | 1 | 0.286 row 15 : h. l. "matty" matthews | 1926-30, 37-38 | 3 | 10 | 25 | 1 | 0.286 row 16 : dusty rhodes | 1947 | 1 | 2 | 5 | 0 | 0.286 row 17 : "shorty" o'brien | 1918 | 1 | 3 | 9 | 0 | 0.25 row 18 : "bull dog" drummond | 1925 | 1 | 2 | 7 | 0 | 0.222 | col : coach row 1 : ed sabre | select coach where coach = 'ed sabre' <table_name> : table \begin{tabular}{llllllll}
\toprule
& coach & years & seasons & wins & losses & ties & pct \\
\midrule
0 & o. b. "rip" sanderson & 1908 & 1 & 5 & 1 & 0 & 0.833 \\
1 & ed sabre & 1920 & 1 & 3 & 1 & 0 & 0.75 \\
2 & mack erwin & 1957-60 & 4 & 62 & 30 & 1 & 0.672 \\
3 & chal port & 1965-91 & 27 & 641 & 386 & 2 & 0.624 \\
4 & fred jordan & 1992-pres & 22 & 726 & 552 & 0 & 0.568 \\
5 & john d. mcmillan & 1952-53 & 2 & 14 & 15 & 0 & 0.483 \\
6 & jim newsome & 1961-64 & 4 & 37 & 43 & 0 & 0.463 \\
7 & bunzy o'neal & 1948 & 1 & 6 & 7 & 0 & 0.462 \\
8 & george c. rogers & 1914-15, 1921-24 & 6 & 26 & 33 & 1 & 0.441 \\
9 & fred montsdeoca & 1954-56 & 2 & 22 & 31 & 0 & 0.415 \\
10 & george a. schmick & 1910 & 1 & 4 & 6 & 0 & 0.4 \\
11 & thomas s. mcmillan & 1916, 1919 & 2 & 8 & 12 & 0 & 0.4 \\
12 & harold manley & 1954 & 1 & 5 & 9 & 0 & 0.357 \\
13 & "barney" legge & 1911 & 1 & 2 & 5 & 1 & 0.286 \\
14 & h. l. "matty" matthews & 1926-30, 37-38 & 3 & 10 & 25 & 1 & 0.286 \\
15 & dusty rhodes & 1947 & 1 & 2 & 5 & 0 & 0.286 \\
16 & "shorty" o'brien & 1918 & 1 & 3 & 9 & 0 & 0.25 \\
17 & "bull dog" drummond & 1925 & 1 & 2 & 7 & 0 & 0.222 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& coach \\
\midrule
0 & ed sabre \\
\bottomrule
\end{tabular}
| select coach where coach = 'ed sabre' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>coach</th>
<th>years</th>
<th>seasons</th>
<th>wins</th>
<th>losses</th>
<th>ties</th>
<th>pct</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>o. b. "rip" sanderson</td>
<td>1908</td>
<td>1</td>
<td>5</td>
<td>1</td>
<td>0</td>
<td>0.833</td>
</tr>
<tr>
<th>1</th>
<td>ed sabre</td>
<td>1920</td>
<td>1</td>
<td>3</td>
<td>1</td>
<td>0</td>
<td>0.75</td>
</tr>
<tr>
<th>2</th>
<td>mack erwin</td>
<td>1957-60</td>
<td>4</td>
<td>62</td>
<td>30</td>
<td>1</td>
<td>0.672</td>
</tr>
<tr>
<th>3</th>
<td>chal port</td>
<td>1965-91</td>
<td>27</td>
<td>641</td>
<td>386</td>
<td>2</td>
<td>0.624</td>
</tr>
<tr>
<th>4</th>
<td>fred jordan</td>
<td>1992-pres</td>
<td>22</td>
<td>726</td>
<td>552</td>
<td>0</td>
<td>0.568</td>
</tr>
<tr>
<th>5</th>
<td>john d. mcmillan</td>
<td>1952-53</td>
<td>2</td>
<td>14</td>
<td>15</td>
<td>0</td>
<td>0.483</td>
</tr>
<tr>
<th>6</th>
<td>jim newsome</td>
<td>1961-64</td>
<td>4</td>
<td>37</td>
<td>43</td>
<td>0</td>
<td>0.463</td>
</tr>
<tr>
<th>7</th>
<td>bunzy o'neal</td>
<td>1948</td>
<td>1</td>
<td>6</td>
<td>7</td>
<td>0</td>
<td>0.462</td>
</tr>
<tr>
<th>8</th>
<td>george c. rogers</td>
<td>1914-15, 1921-24</td>
<td>6</td>
<td>26</td>
<td>33</td>
<td>1</td>
<td>0.441</td>
</tr>
<tr>
<th>9</th>
<td>fred montsdeoca</td>
<td>1954-56</td>
<td>2</td>
<td>22</td>
<td>31</td>
<td>0</td>
<td>0.415</td>
</tr>
<tr>
<th>10</th>
<td>george a. schmick</td>
<td>1910</td>
<td>1</td>
<td>4</td>
<td>6</td>
<td>0</td>
<td>0.4</td>
</tr>
<tr>
<th>11</th>
<td>thomas s. mcmillan</td>
<td>1916, 1919</td>
<td>2</td>
<td>8</td>
<td>12</td>
<td>0</td>
<td>0.4</td>
</tr>
<tr>
<th>12</th>
<td>harold manley</td>
<td>1954</td>
<td>1</td>
<td>5</td>
<td>9</td>
<td>0</td>
<td>0.357</td>
</tr>
<tr>
<th>13</th>
<td>"barney" legge</td>
<td>1911</td>
<td>1</td>
<td>2</td>
<td>5</td>
<td>1</td>
<td>0.286</td>
</tr>
<tr>
<th>14</th>
<td>h. l. "matty" matthews</td>
<td>1926-30, 37-38</td>
<td>3</td>
<td>10</td>
<td>25</td>
<td>1</td>
<td>0.286</td>
</tr>
<tr>
<th>15</th>
<td>dusty rhodes</td>
<td>1947</td>
<td>1</td>
<td>2</td>
<td>5</td>
<td>0</td>
<td>0.286</td>
</tr>
<tr>
<th>16</th>
<td>"shorty" o'brien</td>
<td>1918</td>
<td>1</td>
<td>3</td>
<td>9</td>
<td>0</td>
<td>0.25</td>
</tr>
<tr>
<th>17</th>
<td>"bull dog" drummond</td>
<td>1925</td>
<td>1</td>
<td>2</td>
<td>7</td>
<td>0</td>
<td>0.222</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>coach</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>ed sabre</td>
</tr>
</tbody>
</table> | select coach where coach = 'ed sabre' <table_name> : table | | coach | years | seasons | wins | losses | ties | pct |
|---:|:-----------------------|:-----------------|----------:|-------:|---------:|-------:|------:|
| 0 | o. b. "rip" sanderson | 1908 | 1 | 5 | 1 | 0 | 0.833 |
| 1 | ed sabre | 1920 | 1 | 3 | 1 | 0 | 0.75 |
| 2 | mack erwin | 1957-60 | 4 | 62 | 30 | 1 | 0.672 |
| 3 | chal port | 1965-91 | 27 | 641 | 386 | 2 | 0.624 |
| 4 | fred jordan | 1992-pres | 22 | 726 | 552 | 0 | 0.568 |
| 5 | john d. mcmillan | 1952-53 | 2 | 14 | 15 | 0 | 0.483 |
| 6 | jim newsome | 1961-64 | 4 | 37 | 43 | 0 | 0.463 |
| 7 | bunzy o'neal | 1948 | 1 | 6 | 7 | 0 | 0.462 |
| 8 | george c. rogers | 1914-15, 1921-24 | 6 | 26 | 33 | 1 | 0.441 |
| 9 | fred montsdeoca | 1954-56 | 2 | 22 | 31 | 0 | 0.415 |
| 10 | george a. schmick | 1910 | 1 | 4 | 6 | 0 | 0.4 |
| 11 | thomas s. mcmillan | 1916, 1919 | 2 | 8 | 12 | 0 | 0.4 |
| 12 | harold manley | 1954 | 1 | 5 | 9 | 0 | 0.357 |
| 13 | "barney" legge | 1911 | 1 | 2 | 5 | 1 | 0.286 |
| 14 | h. l. "matty" matthews | 1926-30, 37-38 | 3 | 10 | 25 | 1 | 0.286 |
| 15 | dusty rhodes | 1947 | 1 | 2 | 5 | 0 | 0.286 |
| 16 | "shorty" o'brien | 1918 | 1 | 3 | 9 | 0 | 0.25 |
| 17 | "bull dog" drummond | 1925 | 1 | 2 | 7 | 0 | 0.222 | | | | coach |
|---:|:---------|
| 0 | ed sabre | | [
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select position where venue = 'atlanta, united states' col : year | competition | venue | position | event | notes row 1 : 1990 | central american and caribbean games | mexico city, mexico | 1st | 3000 m s'chase | none row 2 : 1991 | pan american games | havana city, cuba | 6th | 3000 m s'chase | none row 3 : 1992 | olympic games | barcelona, spain | 6th | 10,000 m | none row 4 : 1993 | world championships | stuttgart, germany | 9th | 10,000 m | none row 5 : 1994 | world half marathon championships | oslo, norway | 2nd | half marathon | 1:00:28 pb row 6 : 1994 | new york city marathon | new york city, united states | 1st | marathon | none row 7 : 1994 | london marathon | london, england | 3rd | marathon | none row 8 : 1995 | world championships | gothenburg, sweden | 13th | 10,000 m | none row 9 : 1995 | new york city marathon | new york city, united states | 1st | marathon | none row 10 : 1996 | olympic games | atlanta, united states | 6th | marathon | none row 11 : 1997 | new york city marathon | new york city, united states | 5th | marathon | none row 12 : 1997 | boston marathon | boston, united states | 4th | marathon | none | col : position row 1 : 6th | select position where venue = 'atlanta, united states' <table_name> : table \begin{tabular}{lllllll}
\toprule
& year & competition & venue & position & event & notes \\
\midrule
0 & 1990 & central american and caribbean games & mexico city, mexico & 1st & 3000 m s'chase & none \\
1 & 1991 & pan american games & havana city, cuba & 6th & 3000 m s'chase & none \\
2 & 1992 & olympic games & barcelona, spain & 6th & 10,000 m & none \\
3 & 1993 & world championships & stuttgart, germany & 9th & 10,000 m & none \\
4 & 1994 & world half marathon championships & oslo, norway & 2nd & half marathon & 1:00:28 pb \\
5 & 1994 & new york city marathon & new york city, united states & 1st & marathon & none \\
6 & 1994 & london marathon & london, england & 3rd & marathon & none \\
7 & 1995 & world championships & gothenburg, sweden & 13th & 10,000 m & none \\
8 & 1995 & new york city marathon & new york city, united states & 1st & marathon & none \\
9 & 1996 & olympic games & atlanta, united states & 6th & marathon & none \\
10 & 1997 & new york city marathon & new york city, united states & 5th & marathon & none \\
11 & 1997 & boston marathon & boston, united states & 4th & marathon & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& position \\
\midrule
0 & 6th \\
\bottomrule
\end{tabular}
| select position where venue = 'atlanta, united states' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>competition</th>
<th>venue</th>
<th>position</th>
<th>event</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1990</td>
<td>central american and caribbean games</td>
<td>mexico city, mexico</td>
<td>1st</td>
<td>3000 m s'chase</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>1991</td>
<td>pan american games</td>
<td>havana city, cuba</td>
<td>6th</td>
<td>3000 m s'chase</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>1992</td>
<td>olympic games</td>
<td>barcelona, spain</td>
<td>6th</td>
<td>10,000 m</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>1993</td>
<td>world championships</td>
<td>stuttgart, germany</td>
<td>9th</td>
<td>10,000 m</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>1994</td>
<td>world half marathon championships</td>
<td>oslo, norway</td>
<td>2nd</td>
<td>half marathon</td>
<td>1:00:28 pb</td>
</tr>
<tr>
<th>5</th>
<td>1994</td>
<td>new york city marathon</td>
<td>new york city, united states</td>
<td>1st</td>
<td>marathon</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>1994</td>
<td>london marathon</td>
<td>london, england</td>
<td>3rd</td>
<td>marathon</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>1995</td>
<td>world championships</td>
<td>gothenburg, sweden</td>
<td>13th</td>
<td>10,000 m</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>1995</td>
<td>new york city marathon</td>
<td>new york city, united states</td>
<td>1st</td>
<td>marathon</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>1996</td>
<td>olympic games</td>
<td>atlanta, united states</td>
<td>6th</td>
<td>marathon</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>1997</td>
<td>new york city marathon</td>
<td>new york city, united states</td>
<td>5th</td>
<td>marathon</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>1997</td>
<td>boston marathon</td>
<td>boston, united states</td>
<td>4th</td>
<td>marathon</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>position</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>6th</td>
</tr>
</tbody>
</table> | select position where venue = 'atlanta, united states' <table_name> : table | | year | competition | venue | position | event | notes |
|---:|-------:|:-------------------------------------|:-----------------------------|:-----------|:---------------|:-----------|
| 0 | 1990 | central american and caribbean games | mexico city, mexico | 1st | 3000 m s'chase | none |
| 1 | 1991 | pan american games | havana city, cuba | 6th | 3000 m s'chase | none |
| 2 | 1992 | olympic games | barcelona, spain | 6th | 10,000 m | none |
| 3 | 1993 | world championships | stuttgart, germany | 9th | 10,000 m | none |
| 4 | 1994 | world half marathon championships | oslo, norway | 2nd | half marathon | 1:00:28 pb |
| 5 | 1994 | new york city marathon | new york city, united states | 1st | marathon | none |
| 6 | 1994 | london marathon | london, england | 3rd | marathon | none |
| 7 | 1995 | world championships | gothenburg, sweden | 13th | 10,000 m | none |
| 8 | 1995 | new york city marathon | new york city, united states | 1st | marathon | none |
| 9 | 1996 | olympic games | atlanta, united states | 6th | marathon | none |
| 10 | 1997 | new york city marathon | new york city, united states | 5th | marathon | none |
| 11 | 1997 | boston marathon | boston, united states | 4th | marathon | none | | | | position |
|---:|:-----------|
| 0 | 6th | | [
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select # where # = 11 col : # | date | venue | opponent | score | result | competition row 1 : 1 | 2004-10-10 00:00:00 | estadio cuscatlan, san salvador, el salvador | el salvador | 2-0 | 2-0 | 2006 fifa world cup qualification row 2 : 2 | 2004-10-13 00:00:00 | rfk stadium, washington, d.c., united states | panama | 3-0 | 6-0 | 2006 fifa world cup qualification row 3 : 3 | 2004-10-13 00:00:00 | rfk stadium, washington, d.c., united states | panama | 4-0 | 6-0 | 2006 fifa world cup qualification row 4 : 4 | 2004-10-13 00:00:00 | rfk stadium, washington, d.c., united states | panama | 5-0 | 6-0 | 2006 fifa world cup qualification row 5 : 5 | 2004-11-17 00:00:00 | columbus crew stadium, columbus, united states | jamaica | 1-0 | 1-1 | 2006 fifa world cup qualification row 6 : 6 | 2005-02-09 00:00:00 | queen's park oval, port of spain, trinidad | trinidad and tobago | 1-0 | 2-1 | 2006 fifa world cup qualification row 7 : 7 | 2005-03-19 00:00:00 | university stadium, albuquerque, united states | honduras | 1-0 | 1-0 | friendly row 8 : 8 | 2005-03-30 00:00:00 | legion field, birmingham, united states | guatemala | 1-0 | 2-0 | 2006 fifa world cup qualification row 9 : 9 | 2006-02-19 00:00:00 | pizza hut park, frisco, united states | guatemala | 3-0 | 4-0 | friendly row 10 : 10 | 2007-06-09 00:00:00 | the home depot center, carson, united states | trinidad and tobago | 2-0 | 2-0 | 2007 concacaf gold cup row 11 : 11 | 2007-06-28 00:00:00 | estadio jose pachencho romero, maracaibo, venezuela | argentina | 1-0 | 1-4 | 2007 copa america row 12 : 12 | 2008-06-15 00:00:00 | the home depot center, carson, united states | barbados | 6-0 | 8-0 | 2010 fifa world cup qualification row 13 : 13 | 2012-10-12 00:00:00 | sir vivian richards stadium, antigua, antigua and barbuda | antigua and barbuda | 1-0 | 2-1 | 2014 fifa world cup qualification row 14 : 14 | 2012-10-12 00:00:00 | sir vivian richards stadium, antigua, antigua and barbuda | antigua and barbuda | 2-1 | 2-1 | 2014 fifa world cup qualification row 15 : 15 | 2013-06-12 00:00:00 | centurylink field, seattle, united states | panama | 2-0 | 2-0 | 2014 fifa world cup qualification row 16 : 16 | 2013-07-21 00:00:00 | m&t bank stadium, baltimore, united states | el salvador | 3-1 | 5-1 | 2013 concacaf gold cup row 17 : 17 | 2013-07-24 00:00:00 | cowboys stadium, arlington, united states | honduras | 1-0 | 3-1 | 2013 concacaf gold cup row 18 : 18 | 2013-08-14 00:00:00 | asim ferhatovic hase stadium, sarajevo, bosnia and herzegovina | bosnia and herzegovina | 1-2 | 4-3 | friendly row 19 : 19 | 2013-09-10 00:00:00 | columbus crew stadium, columbus, united states | mexico | 1-0 | 2-0 | 2014 fifa world cup qualification | col : # row 1 : 11 | select # where # = 11 <table_name> : table \begin{tabular}{llllllll}
\toprule
& # & date & venue & opponent & score & result & competition \\
\midrule
0 & 1 & 2004-10-10 00:00:00 & estadio cuscatlan, san salvador, el salvador & el salvador & 2-0 & 2-0 & 2006 fifa world cup qualification \\
1 & 2 & 2004-10-13 00:00:00 & rfk stadium, washington, d.c., united states & panama & 3-0 & 6-0 & 2006 fifa world cup qualification \\
2 & 3 & 2004-10-13 00:00:00 & rfk stadium, washington, d.c., united states & panama & 4-0 & 6-0 & 2006 fifa world cup qualification \\
3 & 4 & 2004-10-13 00:00:00 & rfk stadium, washington, d.c., united states & panama & 5-0 & 6-0 & 2006 fifa world cup qualification \\
4 & 5 & 2004-11-17 00:00:00 & columbus crew stadium, columbus, united states & jamaica & 1-0 & 1-1 & 2006 fifa world cup qualification \\
5 & 6 & 2005-02-09 00:00:00 & queen's park oval, port of spain, trinidad & trinidad and tobago & 1-0 & 2-1 & 2006 fifa world cup qualification \\
6 & 7 & 2005-03-19 00:00:00 & university stadium, albuquerque, united states & honduras & 1-0 & 1-0 & friendly \\
7 & 8 & 2005-03-30 00:00:00 & legion field, birmingham, united states & guatemala & 1-0 & 2-0 & 2006 fifa world cup qualification \\
8 & 9 & 2006-02-19 00:00:00 & pizza hut park, frisco, united states & guatemala & 3-0 & 4-0 & friendly \\
9 & 10 & 2007-06-09 00:00:00 & the home depot center, carson, united states & trinidad and tobago & 2-0 & 2-0 & 2007 concacaf gold cup \\
10 & 11 & 2007-06-28 00:00:00 & estadio jose pachencho romero, maracaibo, venezuela & argentina & 1-0 & 1-4 & 2007 copa america \\
11 & 12 & 2008-06-15 00:00:00 & the home depot center, carson, united states & barbados & 6-0 & 8-0 & 2010 fifa world cup qualification \\
12 & 13 & 2012-10-12 00:00:00 & sir vivian richards stadium, antigua, antigua and barbuda & antigua and barbuda & 1-0 & 2-1 & 2014 fifa world cup qualification \\
13 & 14 & 2012-10-12 00:00:00 & sir vivian richards stadium, antigua, antigua and barbuda & antigua and barbuda & 2-1 & 2-1 & 2014 fifa world cup qualification \\
14 & 15 & 2013-06-12 00:00:00 & centurylink field, seattle, united states & panama & 2-0 & 2-0 & 2014 fifa world cup qualification \\
15 & 16 & 2013-07-21 00:00:00 & m&t bank stadium, baltimore, united states & el salvador & 3-1 & 5-1 & 2013 concacaf gold cup \\
16 & 17 & 2013-07-24 00:00:00 & cowboys stadium, arlington, united states & honduras & 1-0 & 3-1 & 2013 concacaf gold cup \\
17 & 18 & 2013-08-14 00:00:00 & asim ferhatovic hase stadium, sarajevo, bosnia and herzegovina & bosnia and herzegovina & 1-2 & 4-3 & friendly \\
18 & 19 & 2013-09-10 00:00:00 & columbus crew stadium, columbus, united states & mexico & 1-0 & 2-0 & 2014 fifa world cup qualification \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& # \\
\midrule
0 & 11 \\
\bottomrule
\end{tabular}
| select # where # = 11 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>#</th>
<th>date</th>
<th>venue</th>
<th>opponent</th>
<th>score</th>
<th>result</th>
<th>competition</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>2004-10-10 00:00:00</td>
<td>estadio cuscatlan, san salvador, el salvador</td>
<td>el salvador</td>
<td>2-0</td>
<td>2-0</td>
<td>2006 fifa world cup qualification</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>2004-10-13 00:00:00</td>
<td>rfk stadium, washington, d.c., united states</td>
<td>panama</td>
<td>3-0</td>
<td>6-0</td>
<td>2006 fifa world cup qualification</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>2004-10-13 00:00:00</td>
<td>rfk stadium, washington, d.c., united states</td>
<td>panama</td>
<td>4-0</td>
<td>6-0</td>
<td>2006 fifa world cup qualification</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>2004-10-13 00:00:00</td>
<td>rfk stadium, washington, d.c., united states</td>
<td>panama</td>
<td>5-0</td>
<td>6-0</td>
<td>2006 fifa world cup qualification</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>2004-11-17 00:00:00</td>
<td>columbus crew stadium, columbus, united states</td>
<td>jamaica</td>
<td>1-0</td>
<td>1-1</td>
<td>2006 fifa world cup qualification</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>2005-02-09 00:00:00</td>
<td>queen's park oval, port of spain, trinidad</td>
<td>trinidad and tobago</td>
<td>1-0</td>
<td>2-1</td>
<td>2006 fifa world cup qualification</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>2005-03-19 00:00:00</td>
<td>university stadium, albuquerque, united states</td>
<td>honduras</td>
<td>1-0</td>
<td>1-0</td>
<td>friendly</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>2005-03-30 00:00:00</td>
<td>legion field, birmingham, united states</td>
<td>guatemala</td>
<td>1-0</td>
<td>2-0</td>
<td>2006 fifa world cup qualification</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>2006-02-19 00:00:00</td>
<td>pizza hut park, frisco, united states</td>
<td>guatemala</td>
<td>3-0</td>
<td>4-0</td>
<td>friendly</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>2007-06-09 00:00:00</td>
<td>the home depot center, carson, united states</td>
<td>trinidad and tobago</td>
<td>2-0</td>
<td>2-0</td>
<td>2007 concacaf gold cup</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>2007-06-28 00:00:00</td>
<td>estadio jose pachencho romero, maracaibo, venezuela</td>
<td>argentina</td>
<td>1-0</td>
<td>1-4</td>
<td>2007 copa america</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>2008-06-15 00:00:00</td>
<td>the home depot center, carson, united states</td>
<td>barbados</td>
<td>6-0</td>
<td>8-0</td>
<td>2010 fifa world cup qualification</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>2012-10-12 00:00:00</td>
<td>sir vivian richards stadium, antigua, antigua and barbuda</td>
<td>antigua and barbuda</td>
<td>1-0</td>
<td>2-1</td>
<td>2014 fifa world cup qualification</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>2012-10-12 00:00:00</td>
<td>sir vivian richards stadium, antigua, antigua and barbuda</td>
<td>antigua and barbuda</td>
<td>2-1</td>
<td>2-1</td>
<td>2014 fifa world cup qualification</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>2013-06-12 00:00:00</td>
<td>centurylink field, seattle, united states</td>
<td>panama</td>
<td>2-0</td>
<td>2-0</td>
<td>2014 fifa world cup qualification</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>2013-07-21 00:00:00</td>
<td>m&t bank stadium, baltimore, united states</td>
<td>el salvador</td>
<td>3-1</td>
<td>5-1</td>
<td>2013 concacaf gold cup</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>2013-07-24 00:00:00</td>
<td>cowboys stadium, arlington, united states</td>
<td>honduras</td>
<td>1-0</td>
<td>3-1</td>
<td>2013 concacaf gold cup</td>
</tr>
<tr>
<th>17</th>
<td>18</td>
<td>2013-08-14 00:00:00</td>
<td>asim ferhatovic hase stadium, sarajevo, bosnia and herzegovina</td>
<td>bosnia and herzegovina</td>
<td>1-2</td>
<td>4-3</td>
<td>friendly</td>
</tr>
<tr>
<th>18</th>
<td>19</td>
<td>2013-09-10 00:00:00</td>
<td>columbus crew stadium, columbus, united states</td>
<td>mexico</td>
<td>1-0</td>
<td>2-0</td>
<td>2014 fifa world cup qualification</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>#</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>11</td>
</tr>
</tbody>
</table> | select # where # = 11 <table_name> : table | | # | date | venue | opponent | score | result | competition |
|---:|----:|:--------------------|:---------------------------------------------------------------|:-----------------------|:--------|:---------|:----------------------------------|
| 0 | 1 | 2004-10-10 00:00:00 | estadio cuscatlan, san salvador, el salvador | el salvador | 2-0 | 2-0 | 2006 fifa world cup qualification |
| 1 | 2 | 2004-10-13 00:00:00 | rfk stadium, washington, d.c., united states | panama | 3-0 | 6-0 | 2006 fifa world cup qualification |
| 2 | 3 | 2004-10-13 00:00:00 | rfk stadium, washington, d.c., united states | panama | 4-0 | 6-0 | 2006 fifa world cup qualification |
| 3 | 4 | 2004-10-13 00:00:00 | rfk stadium, washington, d.c., united states | panama | 5-0 | 6-0 | 2006 fifa world cup qualification |
| 4 | 5 | 2004-11-17 00:00:00 | columbus crew stadium, columbus, united states | jamaica | 1-0 | 1-1 | 2006 fifa world cup qualification |
| 5 | 6 | 2005-02-09 00:00:00 | queen's park oval, port of spain, trinidad | trinidad and tobago | 1-0 | 2-1 | 2006 fifa world cup qualification |
| 6 | 7 | 2005-03-19 00:00:00 | university stadium, albuquerque, united states | honduras | 1-0 | 1-0 | friendly |
| 7 | 8 | 2005-03-30 00:00:00 | legion field, birmingham, united states | guatemala | 1-0 | 2-0 | 2006 fifa world cup qualification |
| 8 | 9 | 2006-02-19 00:00:00 | pizza hut park, frisco, united states | guatemala | 3-0 | 4-0 | friendly |
| 9 | 10 | 2007-06-09 00:00:00 | the home depot center, carson, united states | trinidad and tobago | 2-0 | 2-0 | 2007 concacaf gold cup |
| 10 | 11 | 2007-06-28 00:00:00 | estadio jose pachencho romero, maracaibo, venezuela | argentina | 1-0 | 1-4 | 2007 copa america |
| 11 | 12 | 2008-06-15 00:00:00 | the home depot center, carson, united states | barbados | 6-0 | 8-0 | 2010 fifa world cup qualification |
| 12 | 13 | 2012-10-12 00:00:00 | sir vivian richards stadium, antigua, antigua and barbuda | antigua and barbuda | 1-0 | 2-1 | 2014 fifa world cup qualification |
| 13 | 14 | 2012-10-12 00:00:00 | sir vivian richards stadium, antigua, antigua and barbuda | antigua and barbuda | 2-1 | 2-1 | 2014 fifa world cup qualification |
| 14 | 15 | 2013-06-12 00:00:00 | centurylink field, seattle, united states | panama | 2-0 | 2-0 | 2014 fifa world cup qualification |
| 15 | 16 | 2013-07-21 00:00:00 | m&t bank stadium, baltimore, united states | el salvador | 3-1 | 5-1 | 2013 concacaf gold cup |
| 16 | 17 | 2013-07-24 00:00:00 | cowboys stadium, arlington, united states | honduras | 1-0 | 3-1 | 2013 concacaf gold cup |
| 17 | 18 | 2013-08-14 00:00:00 | asim ferhatovic hase stadium, sarajevo, bosnia and herzegovina | bosnia and herzegovina | 1-2 | 4-3 | friendly |
| 18 | 19 | 2013-09-10 00:00:00 | columbus crew stadium, columbus, united states | mexico | 1-0 | 2-0 | 2014 fifa world cup qualification | | | | # |
|---:|----:|
| 0 | 11 | | [
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select relationship with predecessor where from = '9 april 1492' col : name | from | until | relationship with predecessor row 1 : cosimo de' medici (pater patriae) | 1434 | 1 august 1464 | son of giovanni di bicci de' medici who was not as prominently involved in florentine politics, rather more involved in the financial area row 2 : piero i de' medici (piero the gouty) | 1 august 1464 | 2 december 1469 | eldest son of cosimo de' medici row 3 : lorenzo i de' medici (lorenzo the magnificent) | 2 december 1469 | 9 april 1492 | eldest son of piero i de' medici row 4 : piero ii de' medici (piero the unfortunate) | 9 april 1492 | 8 november 1494 | eldest son of lorenzo the magnificent. overthrown when charles viii of france invaded as a full republic was restored, first under the theocracy of girolamo savonarola and then statesman piero soderini row 5 : cardinal giovanni de' medici | 31 august 1512 | 9 march 1513 | brother of piero the unfortunate, second son of lorenzo the magnificent. elected to the papacy, becoming pope leo x row 6 : giuliano de' medici, duke of nemours | 9 march 1513 | 17 march 1516 | brother of cardinal giovanni de' medici, third son of lorenzo the magnificent row 7 : lorenzo ii de' medici, duke of urbino | 17 march 1516 | 4 may 1519 | nephew of giuliano de' medici, duke of nemours, son of piero the unfortunate row 8 : cardinal giulio de' medici | 4 may 1519 | 19 november 1523 | cousin of lorenzo ii de' medici, duke of urbino, son of giuliano de' medici who was the brother of lorenzo the magnificent. elected to the papacy, becoming pope clement vii row 9 : cardinal ippolito de' medici | 19 november 1523 | 24 october 1529 | cousin of cardinal giulio de' medici, illegitimate son of giuliano de' medici, duke of nemours | col : relationship with predecessor row 1 : eldest son of lorenzo the magnificent. overthrown when charles viii of france invaded as a full republic was restored, first under the theocracy of girolamo savonarola and then statesman piero soderini | select relationship with predecessor where from = '9 april 1492' <table_name> : table \begin{tabular}{lllll}
\toprule
& name & from & until & relationship with predecessor \\
\midrule
0 & cosimo de' medici (pater patriae) & 1434 & 1 august 1464 & son of giovanni di bicci de' medici who was not as prominently involved in florentine politics, rather more involved in the financial area \\
1 & piero i de' medici (piero the gouty) & 1 august 1464 & 2 december 1469 & eldest son of cosimo de' medici \\
2 & lorenzo i de' medici (lorenzo the magnificent) & 2 december 1469 & 9 april 1492 & eldest son of piero i de' medici \\
3 & piero ii de' medici (piero the unfortunate) & 9 april 1492 & 8 november 1494 & eldest son of lorenzo the magnificent. overthrown when charles viii of france invaded as a full republic was restored, first under the theocracy of girolamo savonarola and then statesman piero soderini \\
4 & cardinal giovanni de' medici & 31 august 1512 & 9 march 1513 & brother of piero the unfortunate, second son of lorenzo the magnificent. elected to the papacy, becoming pope leo x \\
5 & giuliano de' medici, duke of nemours & 9 march 1513 & 17 march 1516 & brother of cardinal giovanni de' medici, third son of lorenzo the magnificent \\
6 & lorenzo ii de' medici, duke of urbino & 17 march 1516 & 4 may 1519 & nephew of giuliano de' medici, duke of nemours, son of piero the unfortunate \\
7 & cardinal giulio de' medici & 4 may 1519 & 19 november 1523 & cousin of lorenzo ii de' medici, duke of urbino, son of giuliano de' medici who was the brother of lorenzo the magnificent. elected to the papacy, becoming pope clement vii \\
8 & cardinal ippolito de' medici & 19 november 1523 & 24 october 1529 & cousin of cardinal giulio de' medici, illegitimate son of giuliano de' medici, duke of nemours \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& relationship with predecessor \\
\midrule
0 & eldest son of lorenzo the magnificent. overthrown when charles viii of france invaded as a full republic was restored, first under the theocracy of girolamo savonarola and then statesman piero soderini \\
\bottomrule
\end{tabular}
| select relationship with predecessor where from = '9 april 1492' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>name</th>
<th>from</th>
<th>until</th>
<th>relationship with predecessor</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>cosimo de' medici (pater patriae)</td>
<td>1434</td>
<td>1 august 1464</td>
<td>son of giovanni di bicci de' medici who was not as prominently involved in florentine politics, rather more involved in the financial area</td>
</tr>
<tr>
<th>1</th>
<td>piero i de' medici (piero the gouty)</td>
<td>1 august 1464</td>
<td>2 december 1469</td>
<td>eldest son of cosimo de' medici</td>
</tr>
<tr>
<th>2</th>
<td>lorenzo i de' medici (lorenzo the magnificent)</td>
<td>2 december 1469</td>
<td>9 april 1492</td>
<td>eldest son of piero i de' medici</td>
</tr>
<tr>
<th>3</th>
<td>piero ii de' medici (piero the unfortunate)</td>
<td>9 april 1492</td>
<td>8 november 1494</td>
<td>eldest son of lorenzo the magnificent. overthrown when charles viii of france invaded as a full republic was restored, first under the theocracy of girolamo savonarola and then statesman piero soderini</td>
</tr>
<tr>
<th>4</th>
<td>cardinal giovanni de' medici</td>
<td>31 august 1512</td>
<td>9 march 1513</td>
<td>brother of piero the unfortunate, second son of lorenzo the magnificent. elected to the papacy, becoming pope leo x</td>
</tr>
<tr>
<th>5</th>
<td>giuliano de' medici, duke of nemours</td>
<td>9 march 1513</td>
<td>17 march 1516</td>
<td>brother of cardinal giovanni de' medici, third son of lorenzo the magnificent</td>
</tr>
<tr>
<th>6</th>
<td>lorenzo ii de' medici, duke of urbino</td>
<td>17 march 1516</td>
<td>4 may 1519</td>
<td>nephew of giuliano de' medici, duke of nemours, son of piero the unfortunate</td>
</tr>
<tr>
<th>7</th>
<td>cardinal giulio de' medici</td>
<td>4 may 1519</td>
<td>19 november 1523</td>
<td>cousin of lorenzo ii de' medici, duke of urbino, son of giuliano de' medici who was the brother of lorenzo the magnificent. elected to the papacy, becoming pope clement vii</td>
</tr>
<tr>
<th>8</th>
<td>cardinal ippolito de' medici</td>
<td>19 november 1523</td>
<td>24 october 1529</td>
<td>cousin of cardinal giulio de' medici, illegitimate son of giuliano de' medici, duke of nemours</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>relationship with predecessor</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>eldest son of lorenzo the magnificent. overthrown when charles viii of france invaded as a full republic was restored, first under the theocracy of girolamo savonarola and then statesman piero soderini</td>
</tr>
</tbody>
</table> | select relationship with predecessor where from = '9 april 1492' <table_name> : table | | name | from | until | relationship with predecessor |
|---:|:-----------------------------------------------|:-----------------|:-----------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | cosimo de' medici (pater patriae) | 1434 | 1 august 1464 | son of giovanni di bicci de' medici who was not as prominently involved in florentine politics, rather more involved in the financial area |
| 1 | piero i de' medici (piero the gouty) | 1 august 1464 | 2 december 1469 | eldest son of cosimo de' medici |
| 2 | lorenzo i de' medici (lorenzo the magnificent) | 2 december 1469 | 9 april 1492 | eldest son of piero i de' medici |
| 3 | piero ii de' medici (piero the unfortunate) | 9 april 1492 | 8 november 1494 | eldest son of lorenzo the magnificent. overthrown when charles viii of france invaded as a full republic was restored, first under the theocracy of girolamo savonarola and then statesman piero soderini |
| 4 | cardinal giovanni de' medici | 31 august 1512 | 9 march 1513 | brother of piero the unfortunate, second son of lorenzo the magnificent. elected to the papacy, becoming pope leo x |
| 5 | giuliano de' medici, duke of nemours | 9 march 1513 | 17 march 1516 | brother of cardinal giovanni de' medici, third son of lorenzo the magnificent |
| 6 | lorenzo ii de' medici, duke of urbino | 17 march 1516 | 4 may 1519 | nephew of giuliano de' medici, duke of nemours, son of piero the unfortunate |
| 7 | cardinal giulio de' medici | 4 may 1519 | 19 november 1523 | cousin of lorenzo ii de' medici, duke of urbino, son of giuliano de' medici who was the brother of lorenzo the magnificent. elected to the papacy, becoming pope clement vii |
| 8 | cardinal ippolito de' medici | 19 november 1523 | 24 october 1529 | cousin of cardinal giulio de' medici, illegitimate son of giuliano de' medici, duke of nemours | | | | relationship with predecessor |
|---:|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | eldest son of lorenzo the magnificent. overthrown when charles viii of france invaded as a full republic was restored, first under the theocracy of girolamo savonarola and then statesman piero soderini | | [
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select language where notes = 'filming' col : year | film | role | language | notes row 1 : 2009 | toss: a flip of destiny | sherry | hindi | none row 2 : 2009 | aa okkadu | dr. pavitra | telugu | none row 3 : 2010 | mouna ragam | sandhya | telugu | none row 4 : 2010 | saradaga kasepu | manimala | telugu | none row 5 : 2010 | orange | madhu | telugu | special appearance row 6 : 2012 | kamaal dhamaal malamaal | maria | hindi | none row 7 : 2013 | mahankali | tanisha | telugu | none row 8 : 2013 | shadow | none | telugu | none row 9 : 2013 | eepeeko | none | tamil | filming row 10 : 2013 | black coffee | none | malayalam | filming row 11 : 2014 | koothara | shaista | malayalam | filming row 12 : 2014 | kotha janta | none | telugu | filming row 13 : 2013 | serndhu polama | none | tamil | filming | col : language row 1 : tamil row 2 : malayalam row 3 : malayalam row 4 : telugu row 5 : tamil | select language where notes = 'filming' <table_name> : table \begin{tabular}{llllll}
\toprule
& year & film & role & language & notes \\
\midrule
0 & 2009 & toss: a flip of destiny & sherry & hindi & none \\
1 & 2009 & aa okkadu & dr. pavitra & telugu & none \\
2 & 2010 & mouna ragam & sandhya & telugu & none \\
3 & 2010 & saradaga kasepu & manimala & telugu & none \\
4 & 2010 & orange & madhu & telugu & special appearance \\
5 & 2012 & kamaal dhamaal malamaal & maria & hindi & none \\
6 & 2013 & mahankali & tanisha & telugu & none \\
7 & 2013 & shadow & none & telugu & none \\
8 & 2013 & eepeeko & none & tamil & filming \\
9 & 2013 & black coffee & none & malayalam & filming \\
10 & 2014 & koothara & shaista & malayalam & filming \\
11 & 2014 & kotha janta & none & telugu & filming \\
12 & 2013 & serndhu polama & none & tamil & filming \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& language \\
\midrule
0 & tamil \\
1 & malayalam \\
2 & malayalam \\
3 & telugu \\
4 & tamil \\
\bottomrule
\end{tabular}
| select language where notes = 'filming' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>film</th>
<th>role</th>
<th>language</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2009</td>
<td>toss: a flip of destiny</td>
<td>sherry</td>
<td>hindi</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>2009</td>
<td>aa okkadu</td>
<td>dr. pavitra</td>
<td>telugu</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>2010</td>
<td>mouna ragam</td>
<td>sandhya</td>
<td>telugu</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>2010</td>
<td>saradaga kasepu</td>
<td>manimala</td>
<td>telugu</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>2010</td>
<td>orange</td>
<td>madhu</td>
<td>telugu</td>
<td>special appearance</td>
</tr>
<tr>
<th>5</th>
<td>2012</td>
<td>kamaal dhamaal malamaal</td>
<td>maria</td>
<td>hindi</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>2013</td>
<td>mahankali</td>
<td>tanisha</td>
<td>telugu</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>2013</td>
<td>shadow</td>
<td>none</td>
<td>telugu</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>2013</td>
<td>eepeeko</td>
<td>none</td>
<td>tamil</td>
<td>filming</td>
</tr>
<tr>
<th>9</th>
<td>2013</td>
<td>black coffee</td>
<td>none</td>
<td>malayalam</td>
<td>filming</td>
</tr>
<tr>
<th>10</th>
<td>2014</td>
<td>koothara</td>
<td>shaista</td>
<td>malayalam</td>
<td>filming</td>
</tr>
<tr>
<th>11</th>
<td>2014</td>
<td>kotha janta</td>
<td>none</td>
<td>telugu</td>
<td>filming</td>
</tr>
<tr>
<th>12</th>
<td>2013</td>
<td>serndhu polama</td>
<td>none</td>
<td>tamil</td>
<td>filming</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>language</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>tamil</td>
</tr>
<tr>
<th>1</th>
<td>malayalam</td>
</tr>
<tr>
<th>2</th>
<td>malayalam</td>
</tr>
<tr>
<th>3</th>
<td>telugu</td>
</tr>
<tr>
<th>4</th>
<td>tamil</td>
</tr>
</tbody>
</table> | select language where notes = 'filming' <table_name> : table | | year | film | role | language | notes |
|---:|-------:|:------------------------|:------------|:-----------|:-------------------|
| 0 | 2009 | toss: a flip of destiny | sherry | hindi | none |
| 1 | 2009 | aa okkadu | dr. pavitra | telugu | none |
| 2 | 2010 | mouna ragam | sandhya | telugu | none |
| 3 | 2010 | saradaga kasepu | manimala | telugu | none |
| 4 | 2010 | orange | madhu | telugu | special appearance |
| 5 | 2012 | kamaal dhamaal malamaal | maria | hindi | none |
| 6 | 2013 | mahankali | tanisha | telugu | none |
| 7 | 2013 | shadow | none | telugu | none |
| 8 | 2013 | eepeeko | none | tamil | filming |
| 9 | 2013 | black coffee | none | malayalam | filming |
| 10 | 2014 | koothara | shaista | malayalam | filming |
| 11 | 2014 | kotha janta | none | telugu | filming |
| 12 | 2013 | serndhu polama | none | tamil | filming | | | | language |
|---:|:-----------|
| 0 | tamil |
| 1 | malayalam |
| 2 | malayalam |
| 3 | telugu |
| 4 | tamil | | [
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select club where club = 'dynamo moscow' col : rank | name | club | nationality | points row 1 : 1 | eusebio | benfica | portugal | 67 row 2 : 2 | giacinto facchetti | internazionale | italy | 59 row 3 : 3 | luis suarez | internazionale | spain | 45 row 4 : 4 | paul van himst | anderlecht | belgium | 25 row 5 : 5 | bobby charlton | manchester united | england | 19 row 6 : 6 | florian albert | ferencvarosi | hungary | 14 row 7 : 7 | gianni rivera | milan | italy | 10 row 8 : 8 | georgi asparuhov | levski sofia | bulgaria | 9 row 9 : 8 | alessandro mazzola | internazionale | italy | 9 row 10 : 8 | valery voronin | torpedo moskva | soviet union | 9 row 11 : 11 | denis law | manchester united | scotland | 8 row 12 : 12 | karl-heinz schnellinger | milan | west germany | 6 row 13 : 13 | ferenc puskas | real madrid | spain | 5 row 14 : 13 | jim baxter | sunderland | scotland | 5 row 15 : 15 | mario corso | internazionale | italy | 3 row 16 : 15 | lev yashin | dynamo moscow | soviet union | 3 row 17 : 17 | mario coluna | benfica | portugal | 2 row 18 : 17 | amancio amaro | real madrid | spain | 2 row 19 : 17 | franz beckenbauer | bayern munich | west germany | 2 row 20 : 17 | milan galic | partizan beograd | yugoslavia | 2 row 21 : 17 | philippe gondet | nantes | france | 2 row 22 : 17 | andrej kvasnak | sparta praha | czechoslovakia | 2 row 23 : 17 | ferenc bene | ujpest dozsa | hungary | 2 row 24 : 17 | slava metreveli | dinamo tbilisi | soviet union | 2 row 25 : 25 | ivor allchurch | cardiff city | wales | 1 row 26 : 25 | jakob kuhn | zurich | switzerland | 1 row 27 : 25 | sigfried held | borussia dortmund | west germany | 1 | col : club row 1 : dynamo moscow | select club where club = 'dynamo moscow' <table_name> : table \begin{tabular}{llllll}
\toprule
& rank & name & club & nationality & points \\
\midrule
0 & 1 & eusebio & benfica & portugal & 67 \\
1 & 2 & giacinto facchetti & internazionale & italy & 59 \\
2 & 3 & luis suarez & internazionale & spain & 45 \\
3 & 4 & paul van himst & anderlecht & belgium & 25 \\
4 & 5 & bobby charlton & manchester united & england & 19 \\
5 & 6 & florian albert & ferencvarosi & hungary & 14 \\
6 & 7 & gianni rivera & milan & italy & 10 \\
7 & 8 & georgi asparuhov & levski sofia & bulgaria & 9 \\
8 & 8 & alessandro mazzola & internazionale & italy & 9 \\
9 & 8 & valery voronin & torpedo moskva & soviet union & 9 \\
10 & 11 & denis law & manchester united & scotland & 8 \\
11 & 12 & karl-heinz schnellinger & milan & west germany & 6 \\
12 & 13 & ferenc puskas & real madrid & spain & 5 \\
13 & 13 & jim baxter & sunderland & scotland & 5 \\
14 & 15 & mario corso & internazionale & italy & 3 \\
15 & 15 & lev yashin & dynamo moscow & soviet union & 3 \\
16 & 17 & mario coluna & benfica & portugal & 2 \\
17 & 17 & amancio amaro & real madrid & spain & 2 \\
18 & 17 & franz beckenbauer & bayern munich & west germany & 2 \\
19 & 17 & milan galic & partizan beograd & yugoslavia & 2 \\
20 & 17 & philippe gondet & nantes & france & 2 \\
21 & 17 & andrej kvasnak & sparta praha & czechoslovakia & 2 \\
22 & 17 & ferenc bene & ujpest dozsa & hungary & 2 \\
23 & 17 & slava metreveli & dinamo tbilisi & soviet union & 2 \\
24 & 25 & ivor allchurch & cardiff city & wales & 1 \\
25 & 25 & jakob kuhn & zurich & switzerland & 1 \\
26 & 25 & sigfried held & borussia dortmund & west germany & 1 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& club \\
\midrule
0 & dynamo moscow \\
\bottomrule
\end{tabular}
| select club where club = 'dynamo moscow' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>name</th>
<th>club</th>
<th>nationality</th>
<th>points</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>eusebio</td>
<td>benfica</td>
<td>portugal</td>
<td>67</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>giacinto facchetti</td>
<td>internazionale</td>
<td>italy</td>
<td>59</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>luis suarez</td>
<td>internazionale</td>
<td>spain</td>
<td>45</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>paul van himst</td>
<td>anderlecht</td>
<td>belgium</td>
<td>25</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>bobby charlton</td>
<td>manchester united</td>
<td>england</td>
<td>19</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>florian albert</td>
<td>ferencvarosi</td>
<td>hungary</td>
<td>14</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>gianni rivera</td>
<td>milan</td>
<td>italy</td>
<td>10</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>georgi asparuhov</td>
<td>levski sofia</td>
<td>bulgaria</td>
<td>9</td>
</tr>
<tr>
<th>8</th>
<td>8</td>
<td>alessandro mazzola</td>
<td>internazionale</td>
<td>italy</td>
<td>9</td>
</tr>
<tr>
<th>9</th>
<td>8</td>
<td>valery voronin</td>
<td>torpedo moskva</td>
<td>soviet union</td>
<td>9</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>denis law</td>
<td>manchester united</td>
<td>scotland</td>
<td>8</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>karl-heinz schnellinger</td>
<td>milan</td>
<td>west germany</td>
<td>6</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>ferenc puskas</td>
<td>real madrid</td>
<td>spain</td>
<td>5</td>
</tr>
<tr>
<th>13</th>
<td>13</td>
<td>jim baxter</td>
<td>sunderland</td>
<td>scotland</td>
<td>5</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>mario corso</td>
<td>internazionale</td>
<td>italy</td>
<td>3</td>
</tr>
<tr>
<th>15</th>
<td>15</td>
<td>lev yashin</td>
<td>dynamo moscow</td>
<td>soviet union</td>
<td>3</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>mario coluna</td>
<td>benfica</td>
<td>portugal</td>
<td>2</td>
</tr>
<tr>
<th>17</th>
<td>17</td>
<td>amancio amaro</td>
<td>real madrid</td>
<td>spain</td>
<td>2</td>
</tr>
<tr>
<th>18</th>
<td>17</td>
<td>franz beckenbauer</td>
<td>bayern munich</td>
<td>west germany</td>
<td>2</td>
</tr>
<tr>
<th>19</th>
<td>17</td>
<td>milan galic</td>
<td>partizan beograd</td>
<td>yugoslavia</td>
<td>2</td>
</tr>
<tr>
<th>20</th>
<td>17</td>
<td>philippe gondet</td>
<td>nantes</td>
<td>france</td>
<td>2</td>
</tr>
<tr>
<th>21</th>
<td>17</td>
<td>andrej kvasnak</td>
<td>sparta praha</td>
<td>czechoslovakia</td>
<td>2</td>
</tr>
<tr>
<th>22</th>
<td>17</td>
<td>ferenc bene</td>
<td>ujpest dozsa</td>
<td>hungary</td>
<td>2</td>
</tr>
<tr>
<th>23</th>
<td>17</td>
<td>slava metreveli</td>
<td>dinamo tbilisi</td>
<td>soviet union</td>
<td>2</td>
</tr>
<tr>
<th>24</th>
<td>25</td>
<td>ivor allchurch</td>
<td>cardiff city</td>
<td>wales</td>
<td>1</td>
</tr>
<tr>
<th>25</th>
<td>25</td>
<td>jakob kuhn</td>
<td>zurich</td>
<td>switzerland</td>
<td>1</td>
</tr>
<tr>
<th>26</th>
<td>25</td>
<td>sigfried held</td>
<td>borussia dortmund</td>
<td>west germany</td>
<td>1</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>club</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>dynamo moscow</td>
</tr>
</tbody>
</table> | select club where club = 'dynamo moscow' <table_name> : table | | rank | name | club | nationality | points |
|---:|-------:|:------------------------|:------------------|:---------------|---------:|
| 0 | 1 | eusebio | benfica | portugal | 67 |
| 1 | 2 | giacinto facchetti | internazionale | italy | 59 |
| 2 | 3 | luis suarez | internazionale | spain | 45 |
| 3 | 4 | paul van himst | anderlecht | belgium | 25 |
| 4 | 5 | bobby charlton | manchester united | england | 19 |
| 5 | 6 | florian albert | ferencvarosi | hungary | 14 |
| 6 | 7 | gianni rivera | milan | italy | 10 |
| 7 | 8 | georgi asparuhov | levski sofia | bulgaria | 9 |
| 8 | 8 | alessandro mazzola | internazionale | italy | 9 |
| 9 | 8 | valery voronin | torpedo moskva | soviet union | 9 |
| 10 | 11 | denis law | manchester united | scotland | 8 |
| 11 | 12 | karl-heinz schnellinger | milan | west germany | 6 |
| 12 | 13 | ferenc puskas | real madrid | spain | 5 |
| 13 | 13 | jim baxter | sunderland | scotland | 5 |
| 14 | 15 | mario corso | internazionale | italy | 3 |
| 15 | 15 | lev yashin | dynamo moscow | soviet union | 3 |
| 16 | 17 | mario coluna | benfica | portugal | 2 |
| 17 | 17 | amancio amaro | real madrid | spain | 2 |
| 18 | 17 | franz beckenbauer | bayern munich | west germany | 2 |
| 19 | 17 | milan galic | partizan beograd | yugoslavia | 2 |
| 20 | 17 | philippe gondet | nantes | france | 2 |
| 21 | 17 | andrej kvasnak | sparta praha | czechoslovakia | 2 |
| 22 | 17 | ferenc bene | ujpest dozsa | hungary | 2 |
| 23 | 17 | slava metreveli | dinamo tbilisi | soviet union | 2 |
| 24 | 25 | ivor allchurch | cardiff city | wales | 1 |
| 25 | 25 | jakob kuhn | zurich | switzerland | 1 |
| 26 | 25 | sigfried held | borussia dortmund | west germany | 1 | | | | club |
|---:|:--------------|
| 0 | dynamo moscow | | [
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select team where team = 'stjarnan' col : pos | team | played | won | draw | lost | goals for | goals against | goal difference | points | notes row 1 : 1 | kr | 18 | 11 | 4 | 3 | 27 | 14 | 13 | 37 | uefa champions league row 2 : 2 | fylkir | 18 | 10 | 5 | 3 | 39 | 16 | 23 | 35 | uefa cup row 3 : 3 | grindavik | 18 | 8 | 6 | 4 | 25 | 18 | 7 | 30 | uefa cup row 4 : 4 | ibv | 18 | 8 | 5 | 5 | 29 | 17 | 12 | 29 | inter-toto cup row 5 : 5 | ia | 18 | 7 | 5 | 6 | 21 | 17 | 4 | 26 | none row 6 : 6 | keflavik | 18 | 4 | 7 | 7 | 21 | 35 | -14 | 19 | none row 7 : 7 | breiðablik | 18 | 5 | 3 | 10 | 29 | 35 | -6 | 18 | none row 8 : 8 | fram | 18 | 4 | 5 | 9 | 22 | 33 | -11 | 17 | none row 9 : 9 | stjarnan | 18 | 4 | 5 | 9 | 18 | 31 | -13 | 17 | relegated row 10 : 10 | leiftur | 18 | 3 | 7 | 8 | 24 | 39 | -15 | 16 | relegated | col : team row 1 : stjarnan | select team where team = 'stjarnan' <table_name> : table \begin{tabular}{llllllllllll}
\toprule
& pos & team & played & won & draw & lost & goals for & goals against & goal difference & points & notes \\
\midrule
0 & 1 & kr & 18 & 11 & 4 & 3 & 27 & 14 & 13 & 37 & uefa champions league \\
1 & 2 & fylkir & 18 & 10 & 5 & 3 & 39 & 16 & 23 & 35 & uefa cup \\
2 & 3 & grindavik & 18 & 8 & 6 & 4 & 25 & 18 & 7 & 30 & uefa cup \\
3 & 4 & ibv & 18 & 8 & 5 & 5 & 29 & 17 & 12 & 29 & inter-toto cup \\
4 & 5 & ia & 18 & 7 & 5 & 6 & 21 & 17 & 4 & 26 & none \\
5 & 6 & keflavik & 18 & 4 & 7 & 7 & 21 & 35 & -14 & 19 & none \\
6 & 7 & breiðablik & 18 & 5 & 3 & 10 & 29 & 35 & -6 & 18 & none \\
7 & 8 & fram & 18 & 4 & 5 & 9 & 22 & 33 & -11 & 17 & none \\
8 & 9 & stjarnan & 18 & 4 & 5 & 9 & 18 & 31 & -13 & 17 & relegated \\
9 & 10 & leiftur & 18 & 3 & 7 & 8 & 24 & 39 & -15 & 16 & relegated \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& team \\
\midrule
0 & stjarnan \\
\bottomrule
\end{tabular}
| select team where team = 'stjarnan' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>pos</th>
<th>team</th>
<th>played</th>
<th>won</th>
<th>draw</th>
<th>lost</th>
<th>goals for</th>
<th>goals against</th>
<th>goal difference</th>
<th>points</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>kr</td>
<td>18</td>
<td>11</td>
<td>4</td>
<td>3</td>
<td>27</td>
<td>14</td>
<td>13</td>
<td>37</td>
<td>uefa champions league</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>fylkir</td>
<td>18</td>
<td>10</td>
<td>5</td>
<td>3</td>
<td>39</td>
<td>16</td>
<td>23</td>
<td>35</td>
<td>uefa cup</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>grindavik</td>
<td>18</td>
<td>8</td>
<td>6</td>
<td>4</td>
<td>25</td>
<td>18</td>
<td>7</td>
<td>30</td>
<td>uefa cup</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>ibv</td>
<td>18</td>
<td>8</td>
<td>5</td>
<td>5</td>
<td>29</td>
<td>17</td>
<td>12</td>
<td>29</td>
<td>inter-toto cup</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>ia</td>
<td>18</td>
<td>7</td>
<td>5</td>
<td>6</td>
<td>21</td>
<td>17</td>
<td>4</td>
<td>26</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>keflavik</td>
<td>18</td>
<td>4</td>
<td>7</td>
<td>7</td>
<td>21</td>
<td>35</td>
<td>-14</td>
<td>19</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>breiðablik</td>
<td>18</td>
<td>5</td>
<td>3</td>
<td>10</td>
<td>29</td>
<td>35</td>
<td>-6</td>
<td>18</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>fram</td>
<td>18</td>
<td>4</td>
<td>5</td>
<td>9</td>
<td>22</td>
<td>33</td>
<td>-11</td>
<td>17</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>stjarnan</td>
<td>18</td>
<td>4</td>
<td>5</td>
<td>9</td>
<td>18</td>
<td>31</td>
<td>-13</td>
<td>17</td>
<td>relegated</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>leiftur</td>
<td>18</td>
<td>3</td>
<td>7</td>
<td>8</td>
<td>24</td>
<td>39</td>
<td>-15</td>
<td>16</td>
<td>relegated</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>team</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>stjarnan</td>
</tr>
</tbody>
</table> | select team where team = 'stjarnan' <table_name> : table | | pos | team | played | won | draw | lost | goals for | goals against | goal difference | points | notes |
|---:|------:|:-----------|---------:|------:|-------:|-------:|------------:|----------------:|------------------:|---------:|:----------------------|
| 0 | 1 | kr | 18 | 11 | 4 | 3 | 27 | 14 | 13 | 37 | uefa champions league |
| 1 | 2 | fylkir | 18 | 10 | 5 | 3 | 39 | 16 | 23 | 35 | uefa cup |
| 2 | 3 | grindavik | 18 | 8 | 6 | 4 | 25 | 18 | 7 | 30 | uefa cup |
| 3 | 4 | ibv | 18 | 8 | 5 | 5 | 29 | 17 | 12 | 29 | inter-toto cup |
| 4 | 5 | ia | 18 | 7 | 5 | 6 | 21 | 17 | 4 | 26 | none |
| 5 | 6 | keflavik | 18 | 4 | 7 | 7 | 21 | 35 | -14 | 19 | none |
| 6 | 7 | breiðablik | 18 | 5 | 3 | 10 | 29 | 35 | -6 | 18 | none |
| 7 | 8 | fram | 18 | 4 | 5 | 9 | 22 | 33 | -11 | 17 | none |
| 8 | 9 | stjarnan | 18 | 4 | 5 | 9 | 18 | 31 | -13 | 17 | relegated |
| 9 | 10 | leiftur | 18 | 3 | 7 | 8 | 24 | 39 | -15 | 16 | relegated | | | | team |
|---:|:---------|
| 0 | stjarnan | | [
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select points where laps = 95 and team = 'della penna motorsports' col : pos | no | driver | team | laps | time/retired | grid | points row 1 : 1 | 1 | alex zanardi | chip ganassi racing | 95 | 1:52:24.080 | 2 | 20 row 2 : 2 | 6 | michael andretti | newman-haas racing | 95 | 1.921 | 3 | 16 row 3 : 3 | 12 | jimmy vasser | chip ganassi racing | 95 | 6.702 | 6 | 14 row 4 : 4 | 7 | bobby rahal | team rahal | 95 | 8.078 | 9 | 12 row 5 : 5 | 8 | bryan herta | team rahal | 95 | 12.984 | 17 | 10 row 6 : 6 | 20 | scott pruett | patrick racing | 95 | 14.607 | 8 | 8 row 7 : 7 | 10 | richie hearn | della penna motorsports | 95 | 15.305 | 13 | 6 row 8 : 8 | 25 | max papis | arciero-wells racing | 95 | 24.676 | 20 | 5 row 9 : 9 | 40 | adrian fernandez | patrick racing | 95 | 31.923 | 16 | 4 row 10 : 10 | 16 | helio castro-neves | bettenhausen racing | 95 | 32.691 | 21 | 3 row 11 : 11 | 99 | greg moore | forsythe racing | 95 | 34.926 | 12 | 2 row 12 : 12 | 17 | mauricio gugelmin | pacwest racing group | 95 | 37.64 | 19 | 1 row 13 : 13 | 24 | robby gordon | arciero-wells racing | 94 | +1 lap | 22 | none row 14 : 14 | 26 | paul tracy | team kool green | 94 | +1 lap | 10 | none row 15 : 15 | 77 | arnd meier | davis racing | 94 | +1 lap | 25 | none row 16 : 16 | 11 | christian fittipaldi | newman-haas racing | 93 | +2 laps | 5 | none row 17 : 17 | 2 | al unser, jr | marlboro team penske | 93 | +2 laps | 14 | none row 18 : 18 | 19 | michel jourdain jr | payton/coyne racing | 93 | +2 laps | 24 | none row 19 : 19 | 98 | p. j. jones | all american racing | 84 | suspension | 23 | none row 20 : 20 | 27 | dario franchitti | team kool green | 79 | brakes | 1 | 1+1 row 21 : 21 | 34 | gualter salles | payton/coyne racing | 65 | contact | 28 | none row 22 : 22 | 21 | tony kanaan | tasman motorsports group | 61 | fire | 7 | none row 23 : 23 | 3 | andre ribeiro | marlboro team penske | 54 | transmission | 11 | none row 24 : 24 | 9 | jj lehto | hogan racing | 37 | contact | 26 | none row 25 : 25 | 33 | patrick carpentier | forsythe racing | 33 | suspension | 18 | none row 26 : 26 | 18 | mark blundell | pacwest racing group | 30 | electrical | 15 | none row 27 : 27 | 5 | gil de ferran | walker racing | 26 | contact | 4 | none row 28 : 28 | 36 | alex barron | all american racing | 25 | contact | 27 | none | col : points row 1 : 6 | select points where laps = 95 and team = 'della penna motorsports' <table_name> : table \begin{tabular}{lllllllll}
\toprule
& pos & no & driver & team & laps & time/retired & grid & points \\
\midrule
0 & 1 & 1 & alex zanardi & chip ganassi racing & 95 & 1:52:24.080 & 2 & 20 \\
1 & 2 & 6 & michael andretti & newman-haas racing & 95 & 1.921 & 3 & 16 \\
2 & 3 & 12 & jimmy vasser & chip ganassi racing & 95 & 6.702 & 6 & 14 \\
3 & 4 & 7 & bobby rahal & team rahal & 95 & 8.078 & 9 & 12 \\
4 & 5 & 8 & bryan herta & team rahal & 95 & 12.984 & 17 & 10 \\
5 & 6 & 20 & scott pruett & patrick racing & 95 & 14.607 & 8 & 8 \\
6 & 7 & 10 & richie hearn & della penna motorsports & 95 & 15.305 & 13 & 6 \\
7 & 8 & 25 & max papis & arciero-wells racing & 95 & 24.676 & 20 & 5 \\
8 & 9 & 40 & adrian fernandez & patrick racing & 95 & 31.923 & 16 & 4 \\
9 & 10 & 16 & helio castro-neves & bettenhausen racing & 95 & 32.691 & 21 & 3 \\
10 & 11 & 99 & greg moore & forsythe racing & 95 & 34.926 & 12 & 2 \\
11 & 12 & 17 & mauricio gugelmin & pacwest racing group & 95 & 37.64 & 19 & 1 \\
12 & 13 & 24 & robby gordon & arciero-wells racing & 94 & +1 lap & 22 & none \\
13 & 14 & 26 & paul tracy & team kool green & 94 & +1 lap & 10 & none \\
14 & 15 & 77 & arnd meier & davis racing & 94 & +1 lap & 25 & none \\
15 & 16 & 11 & christian fittipaldi & newman-haas racing & 93 & +2 laps & 5 & none \\
16 & 17 & 2 & al unser, jr & marlboro team penske & 93 & +2 laps & 14 & none \\
17 & 18 & 19 & michel jourdain jr & payton/coyne racing & 93 & +2 laps & 24 & none \\
18 & 19 & 98 & p. j. jones & all american racing & 84 & suspension & 23 & none \\
19 & 20 & 27 & dario franchitti & team kool green & 79 & brakes & 1 & 1+1 \\
20 & 21 & 34 & gualter salles & payton/coyne racing & 65 & contact & 28 & none \\
21 & 22 & 21 & tony kanaan & tasman motorsports group & 61 & fire & 7 & none \\
22 & 23 & 3 & andre ribeiro & marlboro team penske & 54 & transmission & 11 & none \\
23 & 24 & 9 & jj lehto & hogan racing & 37 & contact & 26 & none \\
24 & 25 & 33 & patrick carpentier & forsythe racing & 33 & suspension & 18 & none \\
25 & 26 & 18 & mark blundell & pacwest racing group & 30 & electrical & 15 & none \\
26 & 27 & 5 & gil de ferran & walker racing & 26 & contact & 4 & none \\
27 & 28 & 36 & alex barron & all american racing & 25 & contact & 27 & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& points \\
\midrule
0 & 6 \\
\bottomrule
\end{tabular}
| select points where laps = 95 and team = 'della penna motorsports' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>pos</th>
<th>no</th>
<th>driver</th>
<th>team</th>
<th>laps</th>
<th>time/retired</th>
<th>grid</th>
<th>points</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>1</td>
<td>alex zanardi</td>
<td>chip ganassi racing</td>
<td>95</td>
<td>1:52:24.080</td>
<td>2</td>
<td>20</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>6</td>
<td>michael andretti</td>
<td>newman-haas racing</td>
<td>95</td>
<td>1.921</td>
<td>3</td>
<td>16</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>12</td>
<td>jimmy vasser</td>
<td>chip ganassi racing</td>
<td>95</td>
<td>6.702</td>
<td>6</td>
<td>14</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>7</td>
<td>bobby rahal</td>
<td>team rahal</td>
<td>95</td>
<td>8.078</td>
<td>9</td>
<td>12</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>8</td>
<td>bryan herta</td>
<td>team rahal</td>
<td>95</td>
<td>12.984</td>
<td>17</td>
<td>10</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>20</td>
<td>scott pruett</td>
<td>patrick racing</td>
<td>95</td>
<td>14.607</td>
<td>8</td>
<td>8</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>10</td>
<td>richie hearn</td>
<td>della penna motorsports</td>
<td>95</td>
<td>15.305</td>
<td>13</td>
<td>6</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>25</td>
<td>max papis</td>
<td>arciero-wells racing</td>
<td>95</td>
<td>24.676</td>
<td>20</td>
<td>5</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>40</td>
<td>adrian fernandez</td>
<td>patrick racing</td>
<td>95</td>
<td>31.923</td>
<td>16</td>
<td>4</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>16</td>
<td>helio castro-neves</td>
<td>bettenhausen racing</td>
<td>95</td>
<td>32.691</td>
<td>21</td>
<td>3</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>99</td>
<td>greg moore</td>
<td>forsythe racing</td>
<td>95</td>
<td>34.926</td>
<td>12</td>
<td>2</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>17</td>
<td>mauricio gugelmin</td>
<td>pacwest racing group</td>
<td>95</td>
<td>37.64</td>
<td>19</td>
<td>1</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>24</td>
<td>robby gordon</td>
<td>arciero-wells racing</td>
<td>94</td>
<td>+1 lap</td>
<td>22</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>26</td>
<td>paul tracy</td>
<td>team kool green</td>
<td>94</td>
<td>+1 lap</td>
<td>10</td>
<td>none</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>77</td>
<td>arnd meier</td>
<td>davis racing</td>
<td>94</td>
<td>+1 lap</td>
<td>25</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>11</td>
<td>christian fittipaldi</td>
<td>newman-haas racing</td>
<td>93</td>
<td>+2 laps</td>
<td>5</td>
<td>none</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>2</td>
<td>al unser, jr</td>
<td>marlboro team penske</td>
<td>93</td>
<td>+2 laps</td>
<td>14</td>
<td>none</td>
</tr>
<tr>
<th>17</th>
<td>18</td>
<td>19</td>
<td>michel jourdain jr</td>
<td>payton/coyne racing</td>
<td>93</td>
<td>+2 laps</td>
<td>24</td>
<td>none</td>
</tr>
<tr>
<th>18</th>
<td>19</td>
<td>98</td>
<td>p. j. jones</td>
<td>all american racing</td>
<td>84</td>
<td>suspension</td>
<td>23</td>
<td>none</td>
</tr>
<tr>
<th>19</th>
<td>20</td>
<td>27</td>
<td>dario franchitti</td>
<td>team kool green</td>
<td>79</td>
<td>brakes</td>
<td>1</td>
<td>1+1</td>
</tr>
<tr>
<th>20</th>
<td>21</td>
<td>34</td>
<td>gualter salles</td>
<td>payton/coyne racing</td>
<td>65</td>
<td>contact</td>
<td>28</td>
<td>none</td>
</tr>
<tr>
<th>21</th>
<td>22</td>
<td>21</td>
<td>tony kanaan</td>
<td>tasman motorsports group</td>
<td>61</td>
<td>fire</td>
<td>7</td>
<td>none</td>
</tr>
<tr>
<th>22</th>
<td>23</td>
<td>3</td>
<td>andre ribeiro</td>
<td>marlboro team penske</td>
<td>54</td>
<td>transmission</td>
<td>11</td>
<td>none</td>
</tr>
<tr>
<th>23</th>
<td>24</td>
<td>9</td>
<td>jj lehto</td>
<td>hogan racing</td>
<td>37</td>
<td>contact</td>
<td>26</td>
<td>none</td>
</tr>
<tr>
<th>24</th>
<td>25</td>
<td>33</td>
<td>patrick carpentier</td>
<td>forsythe racing</td>
<td>33</td>
<td>suspension</td>
<td>18</td>
<td>none</td>
</tr>
<tr>
<th>25</th>
<td>26</td>
<td>18</td>
<td>mark blundell</td>
<td>pacwest racing group</td>
<td>30</td>
<td>electrical</td>
<td>15</td>
<td>none</td>
</tr>
<tr>
<th>26</th>
<td>27</td>
<td>5</td>
<td>gil de ferran</td>
<td>walker racing</td>
<td>26</td>
<td>contact</td>
<td>4</td>
<td>none</td>
</tr>
<tr>
<th>27</th>
<td>28</td>
<td>36</td>
<td>alex barron</td>
<td>all american racing</td>
<td>25</td>
<td>contact</td>
<td>27</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>points</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>6</td>
</tr>
</tbody>
</table> | select points where laps = 95 and team = 'della penna motorsports' <table_name> : table | | pos | no | driver | team | laps | time/retired | grid | points |
|---:|------:|-----:|:---------------------|:-------------------------|-------:|:---------------|-------:|:---------|
| 0 | 1 | 1 | alex zanardi | chip ganassi racing | 95 | 1:52:24.080 | 2 | 20 |
| 1 | 2 | 6 | michael andretti | newman-haas racing | 95 | 1.921 | 3 | 16 |
| 2 | 3 | 12 | jimmy vasser | chip ganassi racing | 95 | 6.702 | 6 | 14 |
| 3 | 4 | 7 | bobby rahal | team rahal | 95 | 8.078 | 9 | 12 |
| 4 | 5 | 8 | bryan herta | team rahal | 95 | 12.984 | 17 | 10 |
| 5 | 6 | 20 | scott pruett | patrick racing | 95 | 14.607 | 8 | 8 |
| 6 | 7 | 10 | richie hearn | della penna motorsports | 95 | 15.305 | 13 | 6 |
| 7 | 8 | 25 | max papis | arciero-wells racing | 95 | 24.676 | 20 | 5 |
| 8 | 9 | 40 | adrian fernandez | patrick racing | 95 | 31.923 | 16 | 4 |
| 9 | 10 | 16 | helio castro-neves | bettenhausen racing | 95 | 32.691 | 21 | 3 |
| 10 | 11 | 99 | greg moore | forsythe racing | 95 | 34.926 | 12 | 2 |
| 11 | 12 | 17 | mauricio gugelmin | pacwest racing group | 95 | 37.64 | 19 | 1 |
| 12 | 13 | 24 | robby gordon | arciero-wells racing | 94 | +1 lap | 22 | none |
| 13 | 14 | 26 | paul tracy | team kool green | 94 | +1 lap | 10 | none |
| 14 | 15 | 77 | arnd meier | davis racing | 94 | +1 lap | 25 | none |
| 15 | 16 | 11 | christian fittipaldi | newman-haas racing | 93 | +2 laps | 5 | none |
| 16 | 17 | 2 | al unser, jr | marlboro team penske | 93 | +2 laps | 14 | none |
| 17 | 18 | 19 | michel jourdain jr | payton/coyne racing | 93 | +2 laps | 24 | none |
| 18 | 19 | 98 | p. j. jones | all american racing | 84 | suspension | 23 | none |
| 19 | 20 | 27 | dario franchitti | team kool green | 79 | brakes | 1 | 1+1 |
| 20 | 21 | 34 | gualter salles | payton/coyne racing | 65 | contact | 28 | none |
| 21 | 22 | 21 | tony kanaan | tasman motorsports group | 61 | fire | 7 | none |
| 22 | 23 | 3 | andre ribeiro | marlboro team penske | 54 | transmission | 11 | none |
| 23 | 24 | 9 | jj lehto | hogan racing | 37 | contact | 26 | none |
| 24 | 25 | 33 | patrick carpentier | forsythe racing | 33 | suspension | 18 | none |
| 25 | 26 | 18 | mark blundell | pacwest racing group | 30 | electrical | 15 | none |
| 26 | 27 | 5 | gil de ferran | walker racing | 26 | contact | 4 | none |
| 27 | 28 | 36 | alex barron | all american racing | 25 | contact | 27 | none | | | | points |
|---:|---------:|
| 0 | 6 | | [
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select count ( bye ) where date = '5 aug' col : round | opponent -1 | result | brisbane | opponent -2 | date | venue | crowd | position | bye row 1 : bocc | celtic crusaders | win | 32 | 6 | 15 feb | brewery field | 2000 | none | 0 row 2 : wcc | st helens | loss | 14 | 18 | 23 feb | reebok stadium | 23207 | none | 0 row 3 : trial match | canberra raiders | win | 18 | 12 | 24 feb | dolphin oval | none | none | 0 row 4 : trial match | melbourne storm | loss | 0 | 46 | 3 mar | princes park | 8273 | none | 0 row 5 : 1 | north queensland cowboys | loss | 16 | 23 | 16 mar | suncorp stadium | 50416 | 12/16 | 0 row 6 : 2 | new zealand warriors | loss | 14 | 24 | 25 mar | mt smart stadium | 16738 | 12/16 | 0 row 7 : 3 | penrith panthers | loss | 28 | 29 | 30 mar | suncorp stadium | 24582 | 15/16 | 0 row 8 : 4 | sydney roosters | win | 32 | 10 | 6 apr | aussie stadium | 11476 | 12/16 | 0 row 9 : 5 | gold coast titans | loss | 16 | 28 | 13 apr | suncorp stadium | 47686 | 13/16 | 0 row 10 : 6 | newcastle knights | win | 20 | 16 | 22 apr | energyaustralia stadium | 25524 | 11/16 | 0 row 11 : 7 | melbourne storm | loss | 18 | 28 | 27 apr | suncorp stadium | 33750 | 13/16 | 0 row 12 : 8 | south sydney rabbitohs | win | 8 | 4 | 4 may | suncorp stadium | 27387 | 12/16 | 0 row 13 : 9 | cronulla sharks | loss | 8 | 16 | 11 may | toyota park | 12262 | 13/16 | 0 row 14 : 10 | manly sea eagles | loss | 6 | 18 | 21 may | brookvale oval | 13493 | 14/16 | 0 row 15 : 11 | newcastle knights | win | 71 | 6 | 27 may | suncorp stadium | 27433 | 12/16 | 0 row 16 : 12 | st george illawarra dragons | loss | 4 | 11 | 1 jun | oki jubilee stadium | 10302 | 15/16 | 0 row 17 : 13 | none | none | none | none | none | none | none | 12/16 | 1 row 18 : 14 | canterbury bulldogs | win | 19 | 12 | 15 jun | telstra stadium | 10121 | 10/16 | 0 row 19 : 15 | wests tigers | win | 48 | 18 | 25 jun | suncorp stadium | 29364 | 9/16 | 0 row 20 : 16 | penrith panthers | win | 24 | 16 | 30 jun | cua stadium | 8553 | 7/16 | 0 row 21 : 17 | gold coast titans | win | 19 | 18 | 6 jul | suncorp stadium | 48621 | 6/16 | 0 row 22 : 18 | north queensland cowboys | win | 24 | 16 | 13 jul | dairy farmers stadium | 25126 | 5/16 | 0 row 23 : 19 | parramatta eels | loss | 16 | 20 | 23 jul | suncorp stadium | 25702 | 5/16 | 0 row 24 : 20 | cronulla sharks | win | 30 | 16 | 29 jul | suncorp stadium | 24563 | 5/16 | 0 row 25 : 21 | manly sea eagles | loss | 8 | 21 | 5 aug | suncorp stadium | 35784 | 6/16 | 0 row 26 : 22 | melbourne storm | loss | 6 | 14 | 12 aug | olympic park | none | 7/16 | 0 row 27 : 23 | canterbury bulldogs | loss | 24 | 25 | 17 aug | suncorp stadium | 35199 | 9/16 | 0 row 28 : 24 | canberra raiders | win | 30 | 19 | 26 aug | suncorp stadium | 31614 | 8/16 | 0 row 29 : 25 | parramatta eels | loss | 22 | 68 | 2 sep | parramatta stadium | 17112 | 8/16 | 0 row 30 : qf | melbourne storm | loss | 0 | 40 | 9 sep | olympic park | 15552 | none | 0 | col : count ( "bye" ) row 1 : 1 | select count ( bye ) where date = '5 aug' <table_name> : table \begin{tabular}{lllllllllll}
\toprule
& round & opponent -1 & result & brisbane & opponent -2 & date & venue & crowd & position & bye \\
\midrule
0 & bocc & celtic crusaders & win & 32 & 6 & 15 feb & brewery field & 2000 & none & 0 \\
1 & wcc & st helens & loss & 14 & 18 & 23 feb & reebok stadium & 23207 & none & 0 \\
2 & trial match & canberra raiders & win & 18 & 12 & 24 feb & dolphin oval & none & none & 0 \\
3 & trial match & melbourne storm & loss & 0 & 46 & 3 mar & princes park & 8273 & none & 0 \\
4 & 1 & north queensland cowboys & loss & 16 & 23 & 16 mar & suncorp stadium & 50416 & 12/16 & 0 \\
5 & 2 & new zealand warriors & loss & 14 & 24 & 25 mar & mt smart stadium & 16738 & 12/16 & 0 \\
6 & 3 & penrith panthers & loss & 28 & 29 & 30 mar & suncorp stadium & 24582 & 15/16 & 0 \\
7 & 4 & sydney roosters & win & 32 & 10 & 6 apr & aussie stadium & 11476 & 12/16 & 0 \\
8 & 5 & gold coast titans & loss & 16 & 28 & 13 apr & suncorp stadium & 47686 & 13/16 & 0 \\
9 & 6 & newcastle knights & win & 20 & 16 & 22 apr & energyaustralia stadium & 25524 & 11/16 & 0 \\
10 & 7 & melbourne storm & loss & 18 & 28 & 27 apr & suncorp stadium & 33750 & 13/16 & 0 \\
11 & 8 & south sydney rabbitohs & win & 8 & 4 & 4 may & suncorp stadium & 27387 & 12/16 & 0 \\
12 & 9 & cronulla sharks & loss & 8 & 16 & 11 may & toyota park & 12262 & 13/16 & 0 \\
13 & 10 & manly sea eagles & loss & 6 & 18 & 21 may & brookvale oval & 13493 & 14/16 & 0 \\
14 & 11 & newcastle knights & win & 71 & 6 & 27 may & suncorp stadium & 27433 & 12/16 & 0 \\
15 & 12 & st george illawarra dragons & loss & 4 & 11 & 1 jun & oki jubilee stadium & 10302 & 15/16 & 0 \\
16 & 13 & none & none & none & none & none & none & none & 12/16 & 1 \\
17 & 14 & canterbury bulldogs & win & 19 & 12 & 15 jun & telstra stadium & 10121 & 10/16 & 0 \\
18 & 15 & wests tigers & win & 48 & 18 & 25 jun & suncorp stadium & 29364 & 9/16 & 0 \\
19 & 16 & penrith panthers & win & 24 & 16 & 30 jun & cua stadium & 8553 & 7/16 & 0 \\
20 & 17 & gold coast titans & win & 19 & 18 & 6 jul & suncorp stadium & 48621 & 6/16 & 0 \\
21 & 18 & north queensland cowboys & win & 24 & 16 & 13 jul & dairy farmers stadium & 25126 & 5/16 & 0 \\
22 & 19 & parramatta eels & loss & 16 & 20 & 23 jul & suncorp stadium & 25702 & 5/16 & 0 \\
23 & 20 & cronulla sharks & win & 30 & 16 & 29 jul & suncorp stadium & 24563 & 5/16 & 0 \\
24 & 21 & manly sea eagles & loss & 8 & 21 & 5 aug & suncorp stadium & 35784 & 6/16 & 0 \\
25 & 22 & melbourne storm & loss & 6 & 14 & 12 aug & olympic park & none & 7/16 & 0 \\
26 & 23 & canterbury bulldogs & loss & 24 & 25 & 17 aug & suncorp stadium & 35199 & 9/16 & 0 \\
27 & 24 & canberra raiders & win & 30 & 19 & 26 aug & suncorp stadium & 31614 & 8/16 & 0 \\
28 & 25 & parramatta eels & loss & 22 & 68 & 2 sep & parramatta stadium & 17112 & 8/16 & 0 \\
29 & qf & melbourne storm & loss & 0 & 40 & 9 sep & olympic park & 15552 & none & 0 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "bye" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( bye ) where date = '5 aug' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>round</th>
<th>opponent -1</th>
<th>result</th>
<th>brisbane</th>
<th>opponent -2</th>
<th>date</th>
<th>venue</th>
<th>crowd</th>
<th>position</th>
<th>bye</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>bocc</td>
<td>celtic crusaders</td>
<td>win</td>
<td>32</td>
<td>6</td>
<td>15 feb</td>
<td>brewery field</td>
<td>2000</td>
<td>none</td>
<td>0</td>
</tr>
<tr>
<th>1</th>
<td>wcc</td>
<td>st helens</td>
<td>loss</td>
<td>14</td>
<td>18</td>
<td>23 feb</td>
<td>reebok stadium</td>
<td>23207</td>
<td>none</td>
<td>0</td>
</tr>
<tr>
<th>2</th>
<td>trial match</td>
<td>canberra raiders</td>
<td>win</td>
<td>18</td>
<td>12</td>
<td>24 feb</td>
<td>dolphin oval</td>
<td>none</td>
<td>none</td>
<td>0</td>
</tr>
<tr>
<th>3</th>
<td>trial match</td>
<td>melbourne storm</td>
<td>loss</td>
<td>0</td>
<td>46</td>
<td>3 mar</td>
<td>princes park</td>
<td>8273</td>
<td>none</td>
<td>0</td>
</tr>
<tr>
<th>4</th>
<td>1</td>
<td>north queensland cowboys</td>
<td>loss</td>
<td>16</td>
<td>23</td>
<td>16 mar</td>
<td>suncorp stadium</td>
<td>50416</td>
<td>12/16</td>
<td>0</td>
</tr>
<tr>
<th>5</th>
<td>2</td>
<td>new zealand warriors</td>
<td>loss</td>
<td>14</td>
<td>24</td>
<td>25 mar</td>
<td>mt smart stadium</td>
<td>16738</td>
<td>12/16</td>
<td>0</td>
</tr>
<tr>
<th>6</th>
<td>3</td>
<td>penrith panthers</td>
<td>loss</td>
<td>28</td>
<td>29</td>
<td>30 mar</td>
<td>suncorp stadium</td>
<td>24582</td>
<td>15/16</td>
<td>0</td>
</tr>
<tr>
<th>7</th>
<td>4</td>
<td>sydney roosters</td>
<td>win</td>
<td>32</td>
<td>10</td>
<td>6 apr</td>
<td>aussie stadium</td>
<td>11476</td>
<td>12/16</td>
<td>0</td>
</tr>
<tr>
<th>8</th>
<td>5</td>
<td>gold coast titans</td>
<td>loss</td>
<td>16</td>
<td>28</td>
<td>13 apr</td>
<td>suncorp stadium</td>
<td>47686</td>
<td>13/16</td>
<td>0</td>
</tr>
<tr>
<th>9</th>
<td>6</td>
<td>newcastle knights</td>
<td>win</td>
<td>20</td>
<td>16</td>
<td>22 apr</td>
<td>energyaustralia stadium</td>
<td>25524</td>
<td>11/16</td>
<td>0</td>
</tr>
<tr>
<th>10</th>
<td>7</td>
<td>melbourne storm</td>
<td>loss</td>
<td>18</td>
<td>28</td>
<td>27 apr</td>
<td>suncorp stadium</td>
<td>33750</td>
<td>13/16</td>
<td>0</td>
</tr>
<tr>
<th>11</th>
<td>8</td>
<td>south sydney rabbitohs</td>
<td>win</td>
<td>8</td>
<td>4</td>
<td>4 may</td>
<td>suncorp stadium</td>
<td>27387</td>
<td>12/16</td>
<td>0</td>
</tr>
<tr>
<th>12</th>
<td>9</td>
<td>cronulla sharks</td>
<td>loss</td>
<td>8</td>
<td>16</td>
<td>11 may</td>
<td>toyota park</td>
<td>12262</td>
<td>13/16</td>
<td>0</td>
</tr>
<tr>
<th>13</th>
<td>10</td>
<td>manly sea eagles</td>
<td>loss</td>
<td>6</td>
<td>18</td>
<td>21 may</td>
<td>brookvale oval</td>
<td>13493</td>
<td>14/16</td>
<td>0</td>
</tr>
<tr>
<th>14</th>
<td>11</td>
<td>newcastle knights</td>
<td>win</td>
<td>71</td>
<td>6</td>
<td>27 may</td>
<td>suncorp stadium</td>
<td>27433</td>
<td>12/16</td>
<td>0</td>
</tr>
<tr>
<th>15</th>
<td>12</td>
<td>st george illawarra dragons</td>
<td>loss</td>
<td>4</td>
<td>11</td>
<td>1 jun</td>
<td>oki jubilee stadium</td>
<td>10302</td>
<td>15/16</td>
<td>0</td>
</tr>
<tr>
<th>16</th>
<td>13</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>12/16</td>
<td>1</td>
</tr>
<tr>
<th>17</th>
<td>14</td>
<td>canterbury bulldogs</td>
<td>win</td>
<td>19</td>
<td>12</td>
<td>15 jun</td>
<td>telstra stadium</td>
<td>10121</td>
<td>10/16</td>
<td>0</td>
</tr>
<tr>
<th>18</th>
<td>15</td>
<td>wests tigers</td>
<td>win</td>
<td>48</td>
<td>18</td>
<td>25 jun</td>
<td>suncorp stadium</td>
<td>29364</td>
<td>9/16</td>
<td>0</td>
</tr>
<tr>
<th>19</th>
<td>16</td>
<td>penrith panthers</td>
<td>win</td>
<td>24</td>
<td>16</td>
<td>30 jun</td>
<td>cua stadium</td>
<td>8553</td>
<td>7/16</td>
<td>0</td>
</tr>
<tr>
<th>20</th>
<td>17</td>
<td>gold coast titans</td>
<td>win</td>
<td>19</td>
<td>18</td>
<td>6 jul</td>
<td>suncorp stadium</td>
<td>48621</td>
<td>6/16</td>
<td>0</td>
</tr>
<tr>
<th>21</th>
<td>18</td>
<td>north queensland cowboys</td>
<td>win</td>
<td>24</td>
<td>16</td>
<td>13 jul</td>
<td>dairy farmers stadium</td>
<td>25126</td>
<td>5/16</td>
<td>0</td>
</tr>
<tr>
<th>22</th>
<td>19</td>
<td>parramatta eels</td>
<td>loss</td>
<td>16</td>
<td>20</td>
<td>23 jul</td>
<td>suncorp stadium</td>
<td>25702</td>
<td>5/16</td>
<td>0</td>
</tr>
<tr>
<th>23</th>
<td>20</td>
<td>cronulla sharks</td>
<td>win</td>
<td>30</td>
<td>16</td>
<td>29 jul</td>
<td>suncorp stadium</td>
<td>24563</td>
<td>5/16</td>
<td>0</td>
</tr>
<tr>
<th>24</th>
<td>21</td>
<td>manly sea eagles</td>
<td>loss</td>
<td>8</td>
<td>21</td>
<td>5 aug</td>
<td>suncorp stadium</td>
<td>35784</td>
<td>6/16</td>
<td>0</td>
</tr>
<tr>
<th>25</th>
<td>22</td>
<td>melbourne storm</td>
<td>loss</td>
<td>6</td>
<td>14</td>
<td>12 aug</td>
<td>olympic park</td>
<td>none</td>
<td>7/16</td>
<td>0</td>
</tr>
<tr>
<th>26</th>
<td>23</td>
<td>canterbury bulldogs</td>
<td>loss</td>
<td>24</td>
<td>25</td>
<td>17 aug</td>
<td>suncorp stadium</td>
<td>35199</td>
<td>9/16</td>
<td>0</td>
</tr>
<tr>
<th>27</th>
<td>24</td>
<td>canberra raiders</td>
<td>win</td>
<td>30</td>
<td>19</td>
<td>26 aug</td>
<td>suncorp stadium</td>
<td>31614</td>
<td>8/16</td>
<td>0</td>
</tr>
<tr>
<th>28</th>
<td>25</td>
<td>parramatta eels</td>
<td>loss</td>
<td>22</td>
<td>68</td>
<td>2 sep</td>
<td>parramatta stadium</td>
<td>17112</td>
<td>8/16</td>
<td>0</td>
</tr>
<tr>
<th>29</th>
<td>qf</td>
<td>melbourne storm</td>
<td>loss</td>
<td>0</td>
<td>40</td>
<td>9 sep</td>
<td>olympic park</td>
<td>15552</td>
<td>none</td>
<td>0</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "bye" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( bye ) where date = '5 aug' <table_name> : table | | round | opponent -1 | result | brisbane | opponent -2 | date | venue | crowd | position | bye |
|---:|:------------|:----------------------------|:---------|:-----------|:--------------|:-------|:------------------------|:--------|:-----------|------:|
| 0 | bocc | celtic crusaders | win | 32 | 6 | 15 feb | brewery field | 2000 | none | 0 |
| 1 | wcc | st helens | loss | 14 | 18 | 23 feb | reebok stadium | 23207 | none | 0 |
| 2 | trial match | canberra raiders | win | 18 | 12 | 24 feb | dolphin oval | none | none | 0 |
| 3 | trial match | melbourne storm | loss | 0 | 46 | 3 mar | princes park | 8273 | none | 0 |
| 4 | 1 | north queensland cowboys | loss | 16 | 23 | 16 mar | suncorp stadium | 50416 | 12/16 | 0 |
| 5 | 2 | new zealand warriors | loss | 14 | 24 | 25 mar | mt smart stadium | 16738 | 12/16 | 0 |
| 6 | 3 | penrith panthers | loss | 28 | 29 | 30 mar | suncorp stadium | 24582 | 15/16 | 0 |
| 7 | 4 | sydney roosters | win | 32 | 10 | 6 apr | aussie stadium | 11476 | 12/16 | 0 |
| 8 | 5 | gold coast titans | loss | 16 | 28 | 13 apr | suncorp stadium | 47686 | 13/16 | 0 |
| 9 | 6 | newcastle knights | win | 20 | 16 | 22 apr | energyaustralia stadium | 25524 | 11/16 | 0 |
| 10 | 7 | melbourne storm | loss | 18 | 28 | 27 apr | suncorp stadium | 33750 | 13/16 | 0 |
| 11 | 8 | south sydney rabbitohs | win | 8 | 4 | 4 may | suncorp stadium | 27387 | 12/16 | 0 |
| 12 | 9 | cronulla sharks | loss | 8 | 16 | 11 may | toyota park | 12262 | 13/16 | 0 |
| 13 | 10 | manly sea eagles | loss | 6 | 18 | 21 may | brookvale oval | 13493 | 14/16 | 0 |
| 14 | 11 | newcastle knights | win | 71 | 6 | 27 may | suncorp stadium | 27433 | 12/16 | 0 |
| 15 | 12 | st george illawarra dragons | loss | 4 | 11 | 1 jun | oki jubilee stadium | 10302 | 15/16 | 0 |
| 16 | 13 | none | none | none | none | none | none | none | 12/16 | 1 |
| 17 | 14 | canterbury bulldogs | win | 19 | 12 | 15 jun | telstra stadium | 10121 | 10/16 | 0 |
| 18 | 15 | wests tigers | win | 48 | 18 | 25 jun | suncorp stadium | 29364 | 9/16 | 0 |
| 19 | 16 | penrith panthers | win | 24 | 16 | 30 jun | cua stadium | 8553 | 7/16 | 0 |
| 20 | 17 | gold coast titans | win | 19 | 18 | 6 jul | suncorp stadium | 48621 | 6/16 | 0 |
| 21 | 18 | north queensland cowboys | win | 24 | 16 | 13 jul | dairy farmers stadium | 25126 | 5/16 | 0 |
| 22 | 19 | parramatta eels | loss | 16 | 20 | 23 jul | suncorp stadium | 25702 | 5/16 | 0 |
| 23 | 20 | cronulla sharks | win | 30 | 16 | 29 jul | suncorp stadium | 24563 | 5/16 | 0 |
| 24 | 21 | manly sea eagles | loss | 8 | 21 | 5 aug | suncorp stadium | 35784 | 6/16 | 0 |
| 25 | 22 | melbourne storm | loss | 6 | 14 | 12 aug | olympic park | none | 7/16 | 0 |
| 26 | 23 | canterbury bulldogs | loss | 24 | 25 | 17 aug | suncorp stadium | 35199 | 9/16 | 0 |
| 27 | 24 | canberra raiders | win | 30 | 19 | 26 aug | suncorp stadium | 31614 | 8/16 | 0 |
| 28 | 25 | parramatta eels | loss | 22 | 68 | 2 sep | parramatta stadium | 17112 | 8/16 | 0 |
| 29 | qf | melbourne storm | loss | 0 | 40 | 9 sep | olympic park | 15552 | none | 0 | | | | count ( "bye" ) |
|---:|------------------:|
| 0 | 1 | | [
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] |
select count ( month ) where jul > '125 (52)' col : month | jan | feb | mar | apr | may | jun | jul | aug | sep | oct | nov | dec | year row 1 : record high °f (°c) | 97 (36) | 100 (38) | 104 (40) | 110 (43) | 121 (49) | 123 (51) | 125 (52) | 121 (49) | 122 (50) | 115 (46) | 101 (38) | 96 (36) | 125 (52) row 2 : average high °f (°c) | 71.9 (22.2) | 75.3 (24.1) | 81.3 (27.4) | 87.5 (30.8) | 95.7 (35.4) | 103.1 (39.5) | 107.3 (41.8) | 106.6 (41.4) | 102.0 (38.9) | 91.9 (33.3) | 79.6 (26.4) | 71.0 (21.7) | 89.5 (31.9) row 3 : average low °f (°c) | 44.6 (7) | 48.0 (8.9) | 54.8 (12.7) | 60.7 (15.9) | 67.7 (19.8) | 74.2 (23.4) | 80.3 (26.8) | 80.3 (26.8) | 74.0 (23.3) | 63.7 (17.6) | 51.8 (11) | 44.2 (6.8) | 62.1 (16.7) row 4 : record low °f (°c) | 13 (-11) | 20 (-7) | 25 (-4) | 33 (1) | 38 (3) | 45 (7) | 59 (15) | 56 (13) | 46 (8) | 31 (-1) | 23 (-5) | 17 (-8) | 13 (-11) row 5 : precipitation inches (mm) | 0.56 (14.2) | 0.64 (16.3) | 0.43 (10.9) | 0.05 (1.3) | 0.07 (1.8) | 0.01 (0.3) | 0.04 (1) | 0.54 (13.7) | 0.04 (1) | 0.26 (6.6) | 0.18 (4.6) | 0.62 (15.7) | 3.44 (87.4) | col : count ( "month" ) row 1 : 2 | select count ( month ) where jul > '125 (52)' <table_name> : table \begin{tabular}{lllllllllllllll}
\toprule
& month & jan & feb & mar & apr & may & jun & jul & aug & sep & oct & nov & dec & year \\
\midrule
0 & record high °f (°c) & 97 (36) & 100 (38) & 104 (40) & 110 (43) & 121 (49) & 123 (51) & 125 (52) & 121 (49) & 122 (50) & 115 (46) & 101 (38) & 96 (36) & 125 (52) \\
1 & average high °f (°c) & 71.9 (22.2) & 75.3 (24.1) & 81.3 (27.4) & 87.5 (30.8) & 95.7 (35.4) & 103.1 (39.5) & 107.3 (41.8) & 106.6 (41.4) & 102.0 (38.9) & 91.9 (33.3) & 79.6 (26.4) & 71.0 (21.7) & 89.5 (31.9) \\
2 & average low °f (°c) & 44.6 (7) & 48.0 (8.9) & 54.8 (12.7) & 60.7 (15.9) & 67.7 (19.8) & 74.2 (23.4) & 80.3 (26.8) & 80.3 (26.8) & 74.0 (23.3) & 63.7 (17.6) & 51.8 (11) & 44.2 (6.8) & 62.1 (16.7) \\
3 & record low °f (°c) & 13 (-11) & 20 (-7) & 25 (-4) & 33 (1) & 38 (3) & 45 (7) & 59 (15) & 56 (13) & 46 (8) & 31 (-1) & 23 (-5) & 17 (-8) & 13 (-11) \\
4 & precipitation inches (mm) & 0.56 (14.2) & 0.64 (16.3) & 0.43 (10.9) & 0.05 (1.3) & 0.07 (1.8) & 0.01 (0.3) & 0.04 (1) & 0.54 (13.7) & 0.04 (1) & 0.26 (6.6) & 0.18 (4.6) & 0.62 (15.7) & 3.44 (87.4) \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "month" ) \\
\midrule
0 & 2 \\
\bottomrule
\end{tabular}
| select count ( month ) where jul > '125 (52)' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>month</th>
<th>jan</th>
<th>feb</th>
<th>mar</th>
<th>apr</th>
<th>may</th>
<th>jun</th>
<th>jul</th>
<th>aug</th>
<th>sep</th>
<th>oct</th>
<th>nov</th>
<th>dec</th>
<th>year</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>record high °f (°c)</td>
<td>97 (36)</td>
<td>100 (38)</td>
<td>104 (40)</td>
<td>110 (43)</td>
<td>121 (49)</td>
<td>123 (51)</td>
<td>125 (52)</td>
<td>121 (49)</td>
<td>122 (50)</td>
<td>115 (46)</td>
<td>101 (38)</td>
<td>96 (36)</td>
<td>125 (52)</td>
</tr>
<tr>
<th>1</th>
<td>average high °f (°c)</td>
<td>71.9 (22.2)</td>
<td>75.3 (24.1)</td>
<td>81.3 (27.4)</td>
<td>87.5 (30.8)</td>
<td>95.7 (35.4)</td>
<td>103.1 (39.5)</td>
<td>107.3 (41.8)</td>
<td>106.6 (41.4)</td>
<td>102.0 (38.9)</td>
<td>91.9 (33.3)</td>
<td>79.6 (26.4)</td>
<td>71.0 (21.7)</td>
<td>89.5 (31.9)</td>
</tr>
<tr>
<th>2</th>
<td>average low °f (°c)</td>
<td>44.6 (7)</td>
<td>48.0 (8.9)</td>
<td>54.8 (12.7)</td>
<td>60.7 (15.9)</td>
<td>67.7 (19.8)</td>
<td>74.2 (23.4)</td>
<td>80.3 (26.8)</td>
<td>80.3 (26.8)</td>
<td>74.0 (23.3)</td>
<td>63.7 (17.6)</td>
<td>51.8 (11)</td>
<td>44.2 (6.8)</td>
<td>62.1 (16.7)</td>
</tr>
<tr>
<th>3</th>
<td>record low °f (°c)</td>
<td>13 (-11)</td>
<td>20 (-7)</td>
<td>25 (-4)</td>
<td>33 (1)</td>
<td>38 (3)</td>
<td>45 (7)</td>
<td>59 (15)</td>
<td>56 (13)</td>
<td>46 (8)</td>
<td>31 (-1)</td>
<td>23 (-5)</td>
<td>17 (-8)</td>
<td>13 (-11)</td>
</tr>
<tr>
<th>4</th>
<td>precipitation inches (mm)</td>
<td>0.56 (14.2)</td>
<td>0.64 (16.3)</td>
<td>0.43 (10.9)</td>
<td>0.05 (1.3)</td>
<td>0.07 (1.8)</td>
<td>0.01 (0.3)</td>
<td>0.04 (1)</td>
<td>0.54 (13.7)</td>
<td>0.04 (1)</td>
<td>0.26 (6.6)</td>
<td>0.18 (4.6)</td>
<td>0.62 (15.7)</td>
<td>3.44 (87.4)</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "month" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2</td>
</tr>
</tbody>
</table> | select count ( month ) where jul > '125 (52)' <table_name> : table | | month | jan | feb | mar | apr | may | jun | jul | aug | sep | oct | nov | dec | year |
|---:|:--------------------------|:------------|:------------|:------------|:------------|:------------|:-------------|:-------------|:-------------|:-------------|:------------|:------------|:------------|:------------|
| 0 | record high °f (°c) | 97 (36) | 100 (38) | 104 (40) | 110 (43) | 121 (49) | 123 (51) | 125 (52) | 121 (49) | 122 (50) | 115 (46) | 101 (38) | 96 (36) | 125 (52) |
| 1 | average high °f (°c) | 71.9 (22.2) | 75.3 (24.1) | 81.3 (27.4) | 87.5 (30.8) | 95.7 (35.4) | 103.1 (39.5) | 107.3 (41.8) | 106.6 (41.4) | 102.0 (38.9) | 91.9 (33.3) | 79.6 (26.4) | 71.0 (21.7) | 89.5 (31.9) |
| 2 | average low °f (°c) | 44.6 (7) | 48.0 (8.9) | 54.8 (12.7) | 60.7 (15.9) | 67.7 (19.8) | 74.2 (23.4) | 80.3 (26.8) | 80.3 (26.8) | 74.0 (23.3) | 63.7 (17.6) | 51.8 (11) | 44.2 (6.8) | 62.1 (16.7) |
| 3 | record low °f (°c) | 13 (-11) | 20 (-7) | 25 (-4) | 33 (1) | 38 (3) | 45 (7) | 59 (15) | 56 (13) | 46 (8) | 31 (-1) | 23 (-5) | 17 (-8) | 13 (-11) |
| 4 | precipitation inches (mm) | 0.56 (14.2) | 0.64 (16.3) | 0.43 (10.9) | 0.05 (1.3) | 0.07 (1.8) | 0.01 (0.3) | 0.04 (1) | 0.54 (13.7) | 0.04 (1) | 0.26 (6.6) | 0.18 (4.6) | 0.62 (15.7) | 3.44 (87.4) | | | | count ( "month" ) |
|---:|--------------------:|
| 0 | 2 | | [
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] |
select count ( trophy presentation ) where year = ( select min ( year ) ) col : year | network | race caller | color commentator | reporters | trophy presentation row 1 : 1959 | cbs | fred capossela | bryan field and chris schenkel | none | chris schenkel row 2 : 1958 | cbs | fred capossela | bryan field | none | none row 3 : 1957 | cbs | fred capossela | bryan field | none | none row 4 : 1956 | cbs | fred capossela | bryan field | none | none row 5 : 1955 | cbs | fred capossela | phil sutterfield and win elliot | none | none row 6 : 1954 | cbs | bryan field | mel allen | none | bill corum row 7 : 1953 | cbs | bryan field | mel allen | phil sutterfield | phil sutterfield row 8 : 1952 | cbs | bryan field | sam renick | none | none | col : count ( "trophy presentation" ) row 1 : 0 | select count ( trophy presentation ) where year = ( select min ( year ) ) <table_name> : table \begin{tabular}{lllllll}
\toprule
& year & network & race caller & color commentator & reporters & trophy presentation \\
\midrule
0 & 1959 & cbs & fred capossela & bryan field and chris schenkel & none & chris schenkel \\
1 & 1958 & cbs & fred capossela & bryan field & none & none \\
2 & 1957 & cbs & fred capossela & bryan field & none & none \\
3 & 1956 & cbs & fred capossela & bryan field & none & none \\
4 & 1955 & cbs & fred capossela & phil sutterfield and win elliot & none & none \\
5 & 1954 & cbs & bryan field & mel allen & none & bill corum \\
6 & 1953 & cbs & bryan field & mel allen & phil sutterfield & phil sutterfield \\
7 & 1952 & cbs & bryan field & sam renick & none & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "trophy presentation" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( trophy presentation ) where year = ( select min ( year ) ) <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>network</th>
<th>race caller</th>
<th>color commentator</th>
<th>reporters</th>
<th>trophy presentation</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1959</td>
<td>cbs</td>
<td>fred capossela</td>
<td>bryan field and chris schenkel</td>
<td>none</td>
<td>chris schenkel</td>
</tr>
<tr>
<th>1</th>
<td>1958</td>
<td>cbs</td>
<td>fred capossela</td>
<td>bryan field</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>1957</td>
<td>cbs</td>
<td>fred capossela</td>
<td>bryan field</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>1956</td>
<td>cbs</td>
<td>fred capossela</td>
<td>bryan field</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>1955</td>
<td>cbs</td>
<td>fred capossela</td>
<td>phil sutterfield and win elliot</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>1954</td>
<td>cbs</td>
<td>bryan field</td>
<td>mel allen</td>
<td>none</td>
<td>bill corum</td>
</tr>
<tr>
<th>6</th>
<td>1953</td>
<td>cbs</td>
<td>bryan field</td>
<td>mel allen</td>
<td>phil sutterfield</td>
<td>phil sutterfield</td>
</tr>
<tr>
<th>7</th>
<td>1952</td>
<td>cbs</td>
<td>bryan field</td>
<td>sam renick</td>
<td>none</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "trophy presentation" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select count ( trophy presentation ) where year = ( select min ( year ) ) <table_name> : table | | year | network | race caller | color commentator | reporters | trophy presentation |
|---:|-------:|:----------|:---------------|:--------------------------------|:-----------------|:----------------------|
| 0 | 1959 | cbs | fred capossela | bryan field and chris schenkel | none | chris schenkel |
| 1 | 1958 | cbs | fred capossela | bryan field | none | none |
| 2 | 1957 | cbs | fred capossela | bryan field | none | none |
| 3 | 1956 | cbs | fred capossela | bryan field | none | none |
| 4 | 1955 | cbs | fred capossela | phil sutterfield and win elliot | none | none |
| 5 | 1954 | cbs | bryan field | mel allen | none | bill corum |
| 6 | 1953 | cbs | bryan field | mel allen | phil sutterfield | phil sutterfield |
| 7 | 1952 | cbs | bryan field | sam renick | none | none | | | | count ( "trophy presentation" ) |
|---:|----------------------------------:|
| 0 | 0 | | [
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] |
select count ( * ) where hometown = 2 and represented = 1520 col : represented | contestant | age | height | hometown row 1 : azua | alicia fernandez de la cruz | 23 | 1.69 | santo domingo row 2 : barahona | lucia magdalena alvarado suarez | 20 | 1.71 | santo domingo row 3 : com. dom. eu | sandra elisabeth tavares ruiz | 19 | 1.8 | newark row 4 : distrito nacional | aimee elaine melo hernandez | 23 | 1.73 | santo domingo row 5 : duarte | paola saint-hilaire arias | 20 | 1.79 | santiago de los caballeros row 6 : espaillat | angela maria garcia ruiz | 26 | 1.77 | moca row 7 : independencia | joany marleny sosa peralta | 20 | 1.82 | jimani row 8 : la altagracia | ana carolina vinas machado | 22 | 1.84 | santiago de los caballeros row 9 : la romana | alina charlin espinal luna | 19 | 1.81 | la romana row 10 : la vega | catherine mabel ramirez rosario | 21 | 1.83 | santiago de los caballeros row 11 : monte cristi | grace stephany mota grisanty | 18 | 1.75 | san fernando de monte cristi row 12 : peravia | mariela joselin rosario jimenez | 25 | 1.86 | santo domingo row 13 : puerto plata | sheila massiel castillo dominguez | 18 | 1.83 | altamira row 14 : salcedo | rossemely cruz logrono | 26 | 1.76 | salcedo row 15 : san cristobal | daniela teresa peguero brito | 24 | 1.74 | santo domingo row 16 : santiago | karina luisa betances cabrera | 21 | 1.8 | santiago de los caballeros row 17 : santo domingo | yisney lina lagrange mendez | 19 | 1.82 | pedro brand row 18 : valverde | fania miguelina marte lozada | 22 | 1.73 | mao | col : count ( "*" ) row 1 : 0 | select count ( * ) where hometown = 2 and represented = 1520 <table_name> : table \begin{tabular}{llllll}
\toprule
& represented & contestant & age & height & hometown \\
\midrule
0 & azua & alicia fernandez de la cruz & 23 & 1.69 & santo domingo \\
1 & barahona & lucia magdalena alvarado suarez & 20 & 1.71 & santo domingo \\
2 & com. dom. eu & sandra elisabeth tavares ruiz & 19 & 1.8 & newark \\
3 & distrito nacional & aimee elaine melo hernandez & 23 & 1.73 & santo domingo \\
4 & duarte & paola saint-hilaire arias & 20 & 1.79 & santiago de los caballeros \\
5 & espaillat & angela maria garcia ruiz & 26 & 1.77 & moca \\
6 & independencia & joany marleny sosa peralta & 20 & 1.82 & jimani \\
7 & la altagracia & ana carolina vinas machado & 22 & 1.84 & santiago de los caballeros \\
8 & la romana & alina charlin espinal luna & 19 & 1.81 & la romana \\
9 & la vega & catherine mabel ramirez rosario & 21 & 1.83 & santiago de los caballeros \\
10 & monte cristi & grace stephany mota grisanty & 18 & 1.75 & san fernando de monte cristi \\
11 & peravia & mariela joselin rosario jimenez & 25 & 1.86 & santo domingo \\
12 & puerto plata & sheila massiel castillo dominguez & 18 & 1.83 & altamira \\
13 & salcedo & rossemely cruz logrono & 26 & 1.76 & salcedo \\
14 & san cristobal & daniela teresa peguero brito & 24 & 1.74 & santo domingo \\
15 & santiago & karina luisa betances cabrera & 21 & 1.8 & santiago de los caballeros \\
16 & santo domingo & yisney lina lagrange mendez & 19 & 1.82 & pedro brand \\
17 & valverde & fania miguelina marte lozada & 22 & 1.73 & mao \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( * ) where hometown = 2 and represented = 1520 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>represented</th>
<th>contestant</th>
<th>age</th>
<th>height</th>
<th>hometown</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>azua</td>
<td>alicia fernandez de la cruz</td>
<td>23</td>
<td>1.69</td>
<td>santo domingo</td>
</tr>
<tr>
<th>1</th>
<td>barahona</td>
<td>lucia magdalena alvarado suarez</td>
<td>20</td>
<td>1.71</td>
<td>santo domingo</td>
</tr>
<tr>
<th>2</th>
<td>com. dom. eu</td>
<td>sandra elisabeth tavares ruiz</td>
<td>19</td>
<td>1.8</td>
<td>newark</td>
</tr>
<tr>
<th>3</th>
<td>distrito nacional</td>
<td>aimee elaine melo hernandez</td>
<td>23</td>
<td>1.73</td>
<td>santo domingo</td>
</tr>
<tr>
<th>4</th>
<td>duarte</td>
<td>paola saint-hilaire arias</td>
<td>20</td>
<td>1.79</td>
<td>santiago de los caballeros</td>
</tr>
<tr>
<th>5</th>
<td>espaillat</td>
<td>angela maria garcia ruiz</td>
<td>26</td>
<td>1.77</td>
<td>moca</td>
</tr>
<tr>
<th>6</th>
<td>independencia</td>
<td>joany marleny sosa peralta</td>
<td>20</td>
<td>1.82</td>
<td>jimani</td>
</tr>
<tr>
<th>7</th>
<td>la altagracia</td>
<td>ana carolina vinas machado</td>
<td>22</td>
<td>1.84</td>
<td>santiago de los caballeros</td>
</tr>
<tr>
<th>8</th>
<td>la romana</td>
<td>alina charlin espinal luna</td>
<td>19</td>
<td>1.81</td>
<td>la romana</td>
</tr>
<tr>
<th>9</th>
<td>la vega</td>
<td>catherine mabel ramirez rosario</td>
<td>21</td>
<td>1.83</td>
<td>santiago de los caballeros</td>
</tr>
<tr>
<th>10</th>
<td>monte cristi</td>
<td>grace stephany mota grisanty</td>
<td>18</td>
<td>1.75</td>
<td>san fernando de monte cristi</td>
</tr>
<tr>
<th>11</th>
<td>peravia</td>
<td>mariela joselin rosario jimenez</td>
<td>25</td>
<td>1.86</td>
<td>santo domingo</td>
</tr>
<tr>
<th>12</th>
<td>puerto plata</td>
<td>sheila massiel castillo dominguez</td>
<td>18</td>
<td>1.83</td>
<td>altamira</td>
</tr>
<tr>
<th>13</th>
<td>salcedo</td>
<td>rossemely cruz logrono</td>
<td>26</td>
<td>1.76</td>
<td>salcedo</td>
</tr>
<tr>
<th>14</th>
<td>san cristobal</td>
<td>daniela teresa peguero brito</td>
<td>24</td>
<td>1.74</td>
<td>santo domingo</td>
</tr>
<tr>
<th>15</th>
<td>santiago</td>
<td>karina luisa betances cabrera</td>
<td>21</td>
<td>1.8</td>
<td>santiago de los caballeros</td>
</tr>
<tr>
<th>16</th>
<td>santo domingo</td>
<td>yisney lina lagrange mendez</td>
<td>19</td>
<td>1.82</td>
<td>pedro brand</td>
</tr>
<tr>
<th>17</th>
<td>valverde</td>
<td>fania miguelina marte lozada</td>
<td>22</td>
<td>1.73</td>
<td>mao</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select count ( * ) where hometown = 2 and represented = 1520 <table_name> : table | | represented | contestant | age | height | hometown |
|---:|:------------------|:----------------------------------|------:|---------:|:-----------------------------|
| 0 | azua | alicia fernandez de la cruz | 23 | 1.69 | santo domingo |
| 1 | barahona | lucia magdalena alvarado suarez | 20 | 1.71 | santo domingo |
| 2 | com. dom. eu | sandra elisabeth tavares ruiz | 19 | 1.8 | newark |
| 3 | distrito nacional | aimee elaine melo hernandez | 23 | 1.73 | santo domingo |
| 4 | duarte | paola saint-hilaire arias | 20 | 1.79 | santiago de los caballeros |
| 5 | espaillat | angela maria garcia ruiz | 26 | 1.77 | moca |
| 6 | independencia | joany marleny sosa peralta | 20 | 1.82 | jimani |
| 7 | la altagracia | ana carolina vinas machado | 22 | 1.84 | santiago de los caballeros |
| 8 | la romana | alina charlin espinal luna | 19 | 1.81 | la romana |
| 9 | la vega | catherine mabel ramirez rosario | 21 | 1.83 | santiago de los caballeros |
| 10 | monte cristi | grace stephany mota grisanty | 18 | 1.75 | san fernando de monte cristi |
| 11 | peravia | mariela joselin rosario jimenez | 25 | 1.86 | santo domingo |
| 12 | puerto plata | sheila massiel castillo dominguez | 18 | 1.83 | altamira |
| 13 | salcedo | rossemely cruz logrono | 26 | 1.76 | salcedo |
| 14 | san cristobal | daniela teresa peguero brito | 24 | 1.74 | santo domingo |
| 15 | santiago | karina luisa betances cabrera | 21 | 1.8 | santiago de los caballeros |
| 16 | santo domingo | yisney lina lagrange mendez | 19 | 1.82 | pedro brand |
| 17 | valverde | fania miguelina marte lozada | 22 | 1.73 | mao | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 0 | | [
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select pole position where city/location = 'lexington, ohio' col : rnd | date | race name | circuit | city/location | pole position | fastest lap | winning driver | winning team | report row 1 : 1 | march 5 | marlboro grand prix of miami presented by toyota | bicentennial park | miami, florida | michael andretti | scott pruett | jacques villeneuve | team green | report row 2 : 2 | march 19 | australian indycar grand prix | surfers paradise street circuit | surfers paradise, australia | michael andretti | michael andretti | paul tracy | newman/haas racing | report row 3 : 3 | april 2 | slick 50 200 | phoenix international raceway | phoenix, arizona | bryan herta | emerson fittipaldi | robby gordon | walker racing | report row 4 : 4 | april 9 | toyota grand prix of long beach | streets of long beach | long beach, california | michael andretti | michael andretti | al unser, jr | marlboro team penske | report row 5 : 5 | april 23 | bosch spark plug grand prix | nazareth speedway | nazareth, pennsylvania | robby gordon | emerson fittipaldi | emerson fittipaldi | marlboro team penske | report row 6 : 6 | may 28 | 79th indianapolis 500 | indianapolis motor speedway | speedway, indiana | scott brayton | scott goodyear | jacques villeneuve | team green | report row 7 : 7 | june 4 | miller genuine draft 200 | milwaukee mile | west allis, wisconsin | teo fabi | teo fabi | paul tracy | newman/haas racing | report row 8 : 8 | june 11 | itt automotive grand prix of detroit | the raceway on belle isle park | detroit, michigan | robby gordon | michael andretti | robby gordon | walker racing | report row 9 : 9 | june 25 | budweiser/g. i. joe's 200 | portland international raceway | portland, oregon | jacques villeneuve | al unser, jr | al unser, jr | marlboro team penske | report row 10 : 10 | july 9 | texaco/havoline 200 | road america | elkhart lake, wisconsin | jacques villeneuve | jacques villeneuve | jacques villeneuve | team green | report row 11 : 11 | july 16 | molson indy toronto | exhibition place | toronto, ontario | jacques villeneuve | bobby rahal | michael andretti | newman/haas racing | report row 12 : 12 | july 23 | budweiser grand prix of cleveland | cleveland burke lakefront airport | cleveland, ohio | gil de ferran | jacques villeneuve | jacques villeneuve | team green | report row 13 : 13 | july 30 | marlboro 500 | michigan international speedway | brooklyn, michigan | parker johnstone | parker johnstone | scott pruett | patrick racing | report row 14 : 14 | august 13 | miller genuine draft 200 | mid-ohio sports car course | lexington, ohio | jacques villeneuve | al unser, jr | al unser, jr | marlboro team penske | report row 15 : 15 | august 20 | new england 200 | new hampshire motor speedway | loudon, new hampshire | andre ribeiro | teo fabi | andre ribeiro | tasman motorsports | report row 16 : 16 | september 3 | molson indy vancouver | streets of vancouver | vancouver, british columbia | jacques villeneuve | bobby rahal | al unser, jr | marlboro team penske | report row 17 : 17 | september 10 | toyota grand prix of monterey | laguna seca raceway | monterey, california | jacques villeneuve | gil de ferran | gil de ferran | jim hall racing | report | col : pole position row 1 : jacques villeneuve | select pole position where city/location = 'lexington, ohio' <table_name> : table \begin{tabular}{lllllllllll}
\toprule
& rnd & date & race name & circuit & city/location & pole position & fastest lap & winning driver & winning team & report \\
\midrule
0 & 1 & march 5 & marlboro grand prix of miami presented by toyota & bicentennial park & miami, florida & michael andretti & scott pruett & jacques villeneuve & team green & report \\
1 & 2 & march 19 & australian indycar grand prix & surfers paradise street circuit & surfers paradise, australia & michael andretti & michael andretti & paul tracy & newman/haas racing & report \\
2 & 3 & april 2 & slick 50 200 & phoenix international raceway & phoenix, arizona & bryan herta & emerson fittipaldi & robby gordon & walker racing & report \\
3 & 4 & april 9 & toyota grand prix of long beach & streets of long beach & long beach, california & michael andretti & michael andretti & al unser, jr & marlboro team penske & report \\
4 & 5 & april 23 & bosch spark plug grand prix & nazareth speedway & nazareth, pennsylvania & robby gordon & emerson fittipaldi & emerson fittipaldi & marlboro team penske & report \\
5 & 6 & may 28 & 79th indianapolis 500 & indianapolis motor speedway & speedway, indiana & scott brayton & scott goodyear & jacques villeneuve & team green & report \\
6 & 7 & june 4 & miller genuine draft 200 & milwaukee mile & west allis, wisconsin & teo fabi & teo fabi & paul tracy & newman/haas racing & report \\
7 & 8 & june 11 & itt automotive grand prix of detroit & the raceway on belle isle park & detroit, michigan & robby gordon & michael andretti & robby gordon & walker racing & report \\
8 & 9 & june 25 & budweiser/g. i. joe's 200 & portland international raceway & portland, oregon & jacques villeneuve & al unser, jr & al unser, jr & marlboro team penske & report \\
9 & 10 & july 9 & texaco/havoline 200 & road america & elkhart lake, wisconsin & jacques villeneuve & jacques villeneuve & jacques villeneuve & team green & report \\
10 & 11 & july 16 & molson indy toronto & exhibition place & toronto, ontario & jacques villeneuve & bobby rahal & michael andretti & newman/haas racing & report \\
11 & 12 & july 23 & budweiser grand prix of cleveland & cleveland burke lakefront airport & cleveland, ohio & gil de ferran & jacques villeneuve & jacques villeneuve & team green & report \\
12 & 13 & july 30 & marlboro 500 & michigan international speedway & brooklyn, michigan & parker johnstone & parker johnstone & scott pruett & patrick racing & report \\
13 & 14 & august 13 & miller genuine draft 200 & mid-ohio sports car course & lexington, ohio & jacques villeneuve & al unser, jr & al unser, jr & marlboro team penske & report \\
14 & 15 & august 20 & new england 200 & new hampshire motor speedway & loudon, new hampshire & andre ribeiro & teo fabi & andre ribeiro & tasman motorsports & report \\
15 & 16 & september 3 & molson indy vancouver & streets of vancouver & vancouver, british columbia & jacques villeneuve & bobby rahal & al unser, jr & marlboro team penske & report \\
16 & 17 & september 10 & toyota grand prix of monterey & laguna seca raceway & monterey, california & jacques villeneuve & gil de ferran & gil de ferran & jim hall racing & report \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& pole position \\
\midrule
0 & jacques villeneuve \\
\bottomrule
\end{tabular}
| select pole position where city/location = 'lexington, ohio' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rnd</th>
<th>date</th>
<th>race name</th>
<th>circuit</th>
<th>city/location</th>
<th>pole position</th>
<th>fastest lap</th>
<th>winning driver</th>
<th>winning team</th>
<th>report</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>march 5</td>
<td>marlboro grand prix of miami presented by toyota</td>
<td>bicentennial park</td>
<td>miami, florida</td>
<td>michael andretti</td>
<td>scott pruett</td>
<td>jacques villeneuve</td>
<td>team green</td>
<td>report</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>march 19</td>
<td>australian indycar grand prix</td>
<td>surfers paradise street circuit</td>
<td>surfers paradise, australia</td>
<td>michael andretti</td>
<td>michael andretti</td>
<td>paul tracy</td>
<td>newman/haas racing</td>
<td>report</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>april 2</td>
<td>slick 50 200</td>
<td>phoenix international raceway</td>
<td>phoenix, arizona</td>
<td>bryan herta</td>
<td>emerson fittipaldi</td>
<td>robby gordon</td>
<td>walker racing</td>
<td>report</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>april 9</td>
<td>toyota grand prix of long beach</td>
<td>streets of long beach</td>
<td>long beach, california</td>
<td>michael andretti</td>
<td>michael andretti</td>
<td>al unser, jr</td>
<td>marlboro team penske</td>
<td>report</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>april 23</td>
<td>bosch spark plug grand prix</td>
<td>nazareth speedway</td>
<td>nazareth, pennsylvania</td>
<td>robby gordon</td>
<td>emerson fittipaldi</td>
<td>emerson fittipaldi</td>
<td>marlboro team penske</td>
<td>report</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>may 28</td>
<td>79th indianapolis 500</td>
<td>indianapolis motor speedway</td>
<td>speedway, indiana</td>
<td>scott brayton</td>
<td>scott goodyear</td>
<td>jacques villeneuve</td>
<td>team green</td>
<td>report</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>june 4</td>
<td>miller genuine draft 200</td>
<td>milwaukee mile</td>
<td>west allis, wisconsin</td>
<td>teo fabi</td>
<td>teo fabi</td>
<td>paul tracy</td>
<td>newman/haas racing</td>
<td>report</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>june 11</td>
<td>itt automotive grand prix of detroit</td>
<td>the raceway on belle isle park</td>
<td>detroit, michigan</td>
<td>robby gordon</td>
<td>michael andretti</td>
<td>robby gordon</td>
<td>walker racing</td>
<td>report</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>june 25</td>
<td>budweiser/g. i. joe's 200</td>
<td>portland international raceway</td>
<td>portland, oregon</td>
<td>jacques villeneuve</td>
<td>al unser, jr</td>
<td>al unser, jr</td>
<td>marlboro team penske</td>
<td>report</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>july 9</td>
<td>texaco/havoline 200</td>
<td>road america</td>
<td>elkhart lake, wisconsin</td>
<td>jacques villeneuve</td>
<td>jacques villeneuve</td>
<td>jacques villeneuve</td>
<td>team green</td>
<td>report</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>july 16</td>
<td>molson indy toronto</td>
<td>exhibition place</td>
<td>toronto, ontario</td>
<td>jacques villeneuve</td>
<td>bobby rahal</td>
<td>michael andretti</td>
<td>newman/haas racing</td>
<td>report</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>july 23</td>
<td>budweiser grand prix of cleveland</td>
<td>cleveland burke lakefront airport</td>
<td>cleveland, ohio</td>
<td>gil de ferran</td>
<td>jacques villeneuve</td>
<td>jacques villeneuve</td>
<td>team green</td>
<td>report</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>july 30</td>
<td>marlboro 500</td>
<td>michigan international speedway</td>
<td>brooklyn, michigan</td>
<td>parker johnstone</td>
<td>parker johnstone</td>
<td>scott pruett</td>
<td>patrick racing</td>
<td>report</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>august 13</td>
<td>miller genuine draft 200</td>
<td>mid-ohio sports car course</td>
<td>lexington, ohio</td>
<td>jacques villeneuve</td>
<td>al unser, jr</td>
<td>al unser, jr</td>
<td>marlboro team penske</td>
<td>report</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>august 20</td>
<td>new england 200</td>
<td>new hampshire motor speedway</td>
<td>loudon, new hampshire</td>
<td>andre ribeiro</td>
<td>teo fabi</td>
<td>andre ribeiro</td>
<td>tasman motorsports</td>
<td>report</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>september 3</td>
<td>molson indy vancouver</td>
<td>streets of vancouver</td>
<td>vancouver, british columbia</td>
<td>jacques villeneuve</td>
<td>bobby rahal</td>
<td>al unser, jr</td>
<td>marlboro team penske</td>
<td>report</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>september 10</td>
<td>toyota grand prix of monterey</td>
<td>laguna seca raceway</td>
<td>monterey, california</td>
<td>jacques villeneuve</td>
<td>gil de ferran</td>
<td>gil de ferran</td>
<td>jim hall racing</td>
<td>report</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>pole position</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>jacques villeneuve</td>
</tr>
</tbody>
</table> | select pole position where city/location = 'lexington, ohio' <table_name> : table | | rnd | date | race name | circuit | city/location | pole position | fastest lap | winning driver | winning team | report |
|---:|------:|:-------------|:-------------------------------------------------|:----------------------------------|:----------------------------|:-------------------|:-------------------|:-------------------|:---------------------|:---------|
| 0 | 1 | march 5 | marlboro grand prix of miami presented by toyota | bicentennial park | miami, florida | michael andretti | scott pruett | jacques villeneuve | team green | report |
| 1 | 2 | march 19 | australian indycar grand prix | surfers paradise street circuit | surfers paradise, australia | michael andretti | michael andretti | paul tracy | newman/haas racing | report |
| 2 | 3 | april 2 | slick 50 200 | phoenix international raceway | phoenix, arizona | bryan herta | emerson fittipaldi | robby gordon | walker racing | report |
| 3 | 4 | april 9 | toyota grand prix of long beach | streets of long beach | long beach, california | michael andretti | michael andretti | al unser, jr | marlboro team penske | report |
| 4 | 5 | april 23 | bosch spark plug grand prix | nazareth speedway | nazareth, pennsylvania | robby gordon | emerson fittipaldi | emerson fittipaldi | marlboro team penske | report |
| 5 | 6 | may 28 | 79th indianapolis 500 | indianapolis motor speedway | speedway, indiana | scott brayton | scott goodyear | jacques villeneuve | team green | report |
| 6 | 7 | june 4 | miller genuine draft 200 | milwaukee mile | west allis, wisconsin | teo fabi | teo fabi | paul tracy | newman/haas racing | report |
| 7 | 8 | june 11 | itt automotive grand prix of detroit | the raceway on belle isle park | detroit, michigan | robby gordon | michael andretti | robby gordon | walker racing | report |
| 8 | 9 | june 25 | budweiser/g. i. joe's 200 | portland international raceway | portland, oregon | jacques villeneuve | al unser, jr | al unser, jr | marlboro team penske | report |
| 9 | 10 | july 9 | texaco/havoline 200 | road america | elkhart lake, wisconsin | jacques villeneuve | jacques villeneuve | jacques villeneuve | team green | report |
| 10 | 11 | july 16 | molson indy toronto | exhibition place | toronto, ontario | jacques villeneuve | bobby rahal | michael andretti | newman/haas racing | report |
| 11 | 12 | july 23 | budweiser grand prix of cleveland | cleveland burke lakefront airport | cleveland, ohio | gil de ferran | jacques villeneuve | jacques villeneuve | team green | report |
| 12 | 13 | july 30 | marlboro 500 | michigan international speedway | brooklyn, michigan | parker johnstone | parker johnstone | scott pruett | patrick racing | report |
| 13 | 14 | august 13 | miller genuine draft 200 | mid-ohio sports car course | lexington, ohio | jacques villeneuve | al unser, jr | al unser, jr | marlboro team penske | report |
| 14 | 15 | august 20 | new england 200 | new hampshire motor speedway | loudon, new hampshire | andre ribeiro | teo fabi | andre ribeiro | tasman motorsports | report |
| 15 | 16 | september 3 | molson indy vancouver | streets of vancouver | vancouver, british columbia | jacques villeneuve | bobby rahal | al unser, jr | marlboro team penske | report |
| 16 | 17 | september 10 | toyota grand prix of monterey | laguna seca raceway | monterey, california | jacques villeneuve | gil de ferran | gil de ferran | jim hall racing | report | | | | pole position |
|---:|:-------------------|
| 0 | jacques villeneuve | | [
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select count ( * ) where rank < goals col : rank | player | nation | club | goals row 1 : 1 | jhonny arteaga | col | fc new york | 13 row 2 : 2 | matthew delicate | eng | richmond kickers | 10 row 3 : 3 | jose angulo | usa | harrisburg city islanders | 9 row 4 : 3 | maxwell griffin | usa | orlando city | 9 row 5 : 3 | luke mulholland | eng | wilmington hammerheads | 9 row 6 : 6 | andriy budnyy | ukr | wilmington hammerheads | 8 row 7 : 6 | jamie watson | usa | orlando city | 8 row 8 : 6 | andrew welker | usa | harrisburg city islanders | 8 row 9 : 9 | chris banks | usa | wilmington hammerheads | 7 row 10 : 9 | sallieu bundu | sle | charlotte eagles | 7 row 11 : 9 | george davis iv | usa | dayton dutch lions | 7 row 12 : 9 | sainey touray | gam | harrisburg city islanders | 7 | col : count ( "*" ) row 1 : 7 | select count ( * ) where rank < goals <table_name> : table \begin{tabular}{llllll}
\toprule
& rank & player & nation & club & goals \\
\midrule
0 & 1 & jhonny arteaga & col & fc new york & 13 \\
1 & 2 & matthew delicate & eng & richmond kickers & 10 \\
2 & 3 & jose angulo & usa & harrisburg city islanders & 9 \\
3 & 3 & maxwell griffin & usa & orlando city & 9 \\
4 & 3 & luke mulholland & eng & wilmington hammerheads & 9 \\
5 & 6 & andriy budnyy & ukr & wilmington hammerheads & 8 \\
6 & 6 & jamie watson & usa & orlando city & 8 \\
7 & 6 & andrew welker & usa & harrisburg city islanders & 8 \\
8 & 9 & chris banks & usa & wilmington hammerheads & 7 \\
9 & 9 & sallieu bundu & sle & charlotte eagles & 7 \\
10 & 9 & george davis iv & usa & dayton dutch lions & 7 \\
11 & 9 & sainey touray & gam & harrisburg city islanders & 7 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 7 \\
\bottomrule
\end{tabular}
| select count ( * ) where rank < goals <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>player</th>
<th>nation</th>
<th>club</th>
<th>goals</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>jhonny arteaga</td>
<td>col</td>
<td>fc new york</td>
<td>13</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>matthew delicate</td>
<td>eng</td>
<td>richmond kickers</td>
<td>10</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>jose angulo</td>
<td>usa</td>
<td>harrisburg city islanders</td>
<td>9</td>
</tr>
<tr>
<th>3</th>
<td>3</td>
<td>maxwell griffin</td>
<td>usa</td>
<td>orlando city</td>
<td>9</td>
</tr>
<tr>
<th>4</th>
<td>3</td>
<td>luke mulholland</td>
<td>eng</td>
<td>wilmington hammerheads</td>
<td>9</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>andriy budnyy</td>
<td>ukr</td>
<td>wilmington hammerheads</td>
<td>8</td>
</tr>
<tr>
<th>6</th>
<td>6</td>
<td>jamie watson</td>
<td>usa</td>
<td>orlando city</td>
<td>8</td>
</tr>
<tr>
<th>7</th>
<td>6</td>
<td>andrew welker</td>
<td>usa</td>
<td>harrisburg city islanders</td>
<td>8</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>chris banks</td>
<td>usa</td>
<td>wilmington hammerheads</td>
<td>7</td>
</tr>
<tr>
<th>9</th>
<td>9</td>
<td>sallieu bundu</td>
<td>sle</td>
<td>charlotte eagles</td>
<td>7</td>
</tr>
<tr>
<th>10</th>
<td>9</td>
<td>george davis iv</td>
<td>usa</td>
<td>dayton dutch lions</td>
<td>7</td>
</tr>
<tr>
<th>11</th>
<td>9</td>
<td>sainey touray</td>
<td>gam</td>
<td>harrisburg city islanders</td>
<td>7</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>7</td>
</tr>
</tbody>
</table> | select count ( * ) where rank < goals <table_name> : table | | rank | player | nation | club | goals |
|---:|-------:|:-----------------|:---------|:--------------------------|--------:|
| 0 | 1 | jhonny arteaga | col | fc new york | 13 |
| 1 | 2 | matthew delicate | eng | richmond kickers | 10 |
| 2 | 3 | jose angulo | usa | harrisburg city islanders | 9 |
| 3 | 3 | maxwell griffin | usa | orlando city | 9 |
| 4 | 3 | luke mulholland | eng | wilmington hammerheads | 9 |
| 5 | 6 | andriy budnyy | ukr | wilmington hammerheads | 8 |
| 6 | 6 | jamie watson | usa | orlando city | 8 |
| 7 | 6 | andrew welker | usa | harrisburg city islanders | 8 |
| 8 | 9 | chris banks | usa | wilmington hammerheads | 7 |
| 9 | 9 | sallieu bundu | sle | charlotte eagles | 7 |
| 10 | 9 | george davis iv | usa | dayton dutch lions | 7 |
| 11 | 9 | sainey touray | gam | harrisburg city islanders | 7 | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 7 | | [
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select count ( * ) where year = 1966 col : year | total | romanians | hungarians | roma row 1 : 1850 | 4,541 | 69.3% | 23.9% | 6.5% row 2 : 1880 | 4,636 | 63.0% | 30.2% | none row 3 : 1890 | 5,499 | 62.7% | 31.6% | none row 4 : 1900 | 5,553 | 64.3% | 29.7% | none row 5 : 1910 | 6,234 | 64.6% | 30.4% | none row 6 : 1920 | 5,887 | 71.6% | 27.9% | none row 7 : 1930 | 6,456 | 70.5% | 22.8% | 2.6% row 8 : 1941 | 6,981 | 78.3% | 19.4% | none row 9 : 1956 | 6,649 | 74.7% | 19.0% | 6.0% row 10 : 1966 | 6,991 | 80.9% | 17.3% | 1.7% row 11 : 1977 | 7,089 | 78.1% | 16.9% | 4.9% row 12 : 1992 | 5,723 | 74.1% | 14.2% | 11.6% row 13 : 2002 | 5,506 | 74.4% | 12.0% | 13.6% row 14 : 2011 | 4,574 | 70.7% | 11.2% | 17.9% | col : count ( "*" ) row 1 : 1 | select count ( * ) where year = 1966 <table_name> : table \begin{tabular}{llllll}
\toprule
& year & total & romanians & hungarians & roma \\
\midrule
0 & 1850 & 4,541 & 69.3% & 23.9% & 6.5% \\
1 & 1880 & 4,636 & 63.0% & 30.2% & none \\
2 & 1890 & 5,499 & 62.7% & 31.6% & none \\
3 & 1900 & 5,553 & 64.3% & 29.7% & none \\
4 & 1910 & 6,234 & 64.6% & 30.4% & none \\
5 & 1920 & 5,887 & 71.6% & 27.9% & none \\
6 & 1930 & 6,456 & 70.5% & 22.8% & 2.6% \\
7 & 1941 & 6,981 & 78.3% & 19.4% & none \\
8 & 1956 & 6,649 & 74.7% & 19.0% & 6.0% \\
9 & 1966 & 6,991 & 80.9% & 17.3% & 1.7% \\
10 & 1977 & 7,089 & 78.1% & 16.9% & 4.9% \\
11 & 1992 & 5,723 & 74.1% & 14.2% & 11.6% \\
12 & 2002 & 5,506 & 74.4% & 12.0% & 13.6% \\
13 & 2011 & 4,574 & 70.7% & 11.2% & 17.9% \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( * ) where year = 1966 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>total</th>
<th>romanians</th>
<th>hungarians</th>
<th>roma</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1850</td>
<td>4,541</td>
<td>69.3%</td>
<td>23.9%</td>
<td>6.5%</td>
</tr>
<tr>
<th>1</th>
<td>1880</td>
<td>4,636</td>
<td>63.0%</td>
<td>30.2%</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>1890</td>
<td>5,499</td>
<td>62.7%</td>
<td>31.6%</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>1900</td>
<td>5,553</td>
<td>64.3%</td>
<td>29.7%</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>1910</td>
<td>6,234</td>
<td>64.6%</td>
<td>30.4%</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>1920</td>
<td>5,887</td>
<td>71.6%</td>
<td>27.9%</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>1930</td>
<td>6,456</td>
<td>70.5%</td>
<td>22.8%</td>
<td>2.6%</td>
</tr>
<tr>
<th>7</th>
<td>1941</td>
<td>6,981</td>
<td>78.3%</td>
<td>19.4%</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>1956</td>
<td>6,649</td>
<td>74.7%</td>
<td>19.0%</td>
<td>6.0%</td>
</tr>
<tr>
<th>9</th>
<td>1966</td>
<td>6,991</td>
<td>80.9%</td>
<td>17.3%</td>
<td>1.7%</td>
</tr>
<tr>
<th>10</th>
<td>1977</td>
<td>7,089</td>
<td>78.1%</td>
<td>16.9%</td>
<td>4.9%</td>
</tr>
<tr>
<th>11</th>
<td>1992</td>
<td>5,723</td>
<td>74.1%</td>
<td>14.2%</td>
<td>11.6%</td>
</tr>
<tr>
<th>12</th>
<td>2002</td>
<td>5,506</td>
<td>74.4%</td>
<td>12.0%</td>
<td>13.6%</td>
</tr>
<tr>
<th>13</th>
<td>2011</td>
<td>4,574</td>
<td>70.7%</td>
<td>11.2%</td>
<td>17.9%</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( * ) where year = 1966 <table_name> : table | | year | total | romanians | hungarians | roma |
|---:|-------:|:--------|:------------|:-------------|:-------|
| 0 | 1850 | 4,541 | 69.3% | 23.9% | 6.5% |
| 1 | 1880 | 4,636 | 63.0% | 30.2% | none |
| 2 | 1890 | 5,499 | 62.7% | 31.6% | none |
| 3 | 1900 | 5,553 | 64.3% | 29.7% | none |
| 4 | 1910 | 6,234 | 64.6% | 30.4% | none |
| 5 | 1920 | 5,887 | 71.6% | 27.9% | none |
| 6 | 1930 | 6,456 | 70.5% | 22.8% | 2.6% |
| 7 | 1941 | 6,981 | 78.3% | 19.4% | none |
| 8 | 1956 | 6,649 | 74.7% | 19.0% | 6.0% |
| 9 | 1966 | 6,991 | 80.9% | 17.3% | 1.7% |
| 10 | 1977 | 7,089 | 78.1% | 16.9% | 4.9% |
| 11 | 1992 | 5,723 | 74.1% | 14.2% | 11.6% |
| 12 | 2002 | 5,506 | 74.4% | 12.0% | 13.6% |
| 13 | 2011 | 4,574 | 70.7% | 11.2% | 17.9% | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 1 | | [
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select count ( * ) where terminals = 1 col : route number | terminals -1 | terminals -2 | via | operator | notes row 1 : 310 310a 311 | waltham cross bus station | hertford bus station | cheshunt, broxbourne, ware | arriva shires & essex, centrebus | mon-sat (310), mon-fri peaks (310a) row 2 : 323 | broxbourne station | essex road industrial estate | hoddesdon | sm coaches | mon-fri peak hours. herts cc contract. times row 3 : 392 | harlow town station | rye park old highway | nazeing, broxbourne | network harlow | mon-sat. essex cc contract. times row 4 : 641 | broxbourne station | hatfield business park | hertford, university of hertfordshire | uno | mon-fri university term time only row 5 : c3/c3a | waltham cross | harlow bus station | cheshunt, broxbourne | trustybus | mon-fri. 2 buses per hour operate to harlow. sat 1 bus per hour to harlow via hunsdon row 6 : c4 | waltham cross bus station | hertford bus station | cheshunt, ware | trustybus | sundays | col : count ( "*" ) row 1 : 0 | select count ( * ) where terminals = 1 <table_name> : table \begin{tabular}{lllllll}
\toprule
& route number & terminals -1 & terminals -2 & via & operator & notes \\
\midrule
0 & 310 310a 311 & waltham cross bus station & hertford bus station & cheshunt, broxbourne, ware & arriva shires & essex, centrebus & mon-sat (310), mon-fri peaks (310a) \\
1 & 323 & broxbourne station & essex road industrial estate & hoddesdon & sm coaches & mon-fri peak hours. herts cc contract. times \\
2 & 392 & harlow town station & rye park old highway & nazeing, broxbourne & network harlow & mon-sat. essex cc contract. times \\
3 & 641 & broxbourne station & hatfield business park & hertford, university of hertfordshire & uno & mon-fri university term time only \\
4 & c3/c3a & waltham cross & harlow bus station & cheshunt, broxbourne & trustybus & mon-fri. 2 buses per hour operate to harlow. sat 1 bus per hour to harlow via hunsdon \\
5 & c4 & waltham cross bus station & hertford bus station & cheshunt, ware & trustybus & sundays \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( * ) where terminals = 1 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>route number</th>
<th>terminals -1</th>
<th>terminals -2</th>
<th>via</th>
<th>operator</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>310 310a 311</td>
<td>waltham cross bus station</td>
<td>hertford bus station</td>
<td>cheshunt, broxbourne, ware</td>
<td>arriva shires & essex, centrebus</td>
<td>mon-sat (310), mon-fri peaks (310a)</td>
</tr>
<tr>
<th>1</th>
<td>323</td>
<td>broxbourne station</td>
<td>essex road industrial estate</td>
<td>hoddesdon</td>
<td>sm coaches</td>
<td>mon-fri peak hours. herts cc contract. times</td>
</tr>
<tr>
<th>2</th>
<td>392</td>
<td>harlow town station</td>
<td>rye park old highway</td>
<td>nazeing, broxbourne</td>
<td>network harlow</td>
<td>mon-sat. essex cc contract. times</td>
</tr>
<tr>
<th>3</th>
<td>641</td>
<td>broxbourne station</td>
<td>hatfield business park</td>
<td>hertford, university of hertfordshire</td>
<td>uno</td>
<td>mon-fri university term time only</td>
</tr>
<tr>
<th>4</th>
<td>c3/c3a</td>
<td>waltham cross</td>
<td>harlow bus station</td>
<td>cheshunt, broxbourne</td>
<td>trustybus</td>
<td>mon-fri. 2 buses per hour operate to harlow. sat 1 bus per hour to harlow via hunsdon</td>
</tr>
<tr>
<th>5</th>
<td>c4</td>
<td>waltham cross bus station</td>
<td>hertford bus station</td>
<td>cheshunt, ware</td>
<td>trustybus</td>
<td>sundays</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select count ( * ) where terminals = 1 <table_name> : table | | route number | terminals -1 | terminals -2 | via | operator | notes |
|---:|:---------------|:--------------------------|:-----------------------------|:--------------------------------------|:---------------------------------|:--------------------------------------------------------------------------------------|
| 0 | 310 310a 311 | waltham cross bus station | hertford bus station | cheshunt, broxbourne, ware | arriva shires & essex, centrebus | mon-sat (310), mon-fri peaks (310a) |
| 1 | 323 | broxbourne station | essex road industrial estate | hoddesdon | sm coaches | mon-fri peak hours. herts cc contract. times |
| 2 | 392 | harlow town station | rye park old highway | nazeing, broxbourne | network harlow | mon-sat. essex cc contract. times |
| 3 | 641 | broxbourne station | hatfield business park | hertford, university of hertfordshire | uno | mon-fri university term time only |
| 4 | c3/c3a | waltham cross | harlow bus station | cheshunt, broxbourne | trustybus | mon-fri. 2 buses per hour operate to harlow. sat 1 bus per hour to harlow via hunsdon |
| 5 | c4 | waltham cross bus station | hertford bus station | cheshunt, ware | trustybus | sundays | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 0 | | [
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select year where venue = 'marrakech, morocco' col : year | competition | venue | position | notes row 1 : 2005 | world youth championships | marrakech, morocco | 6th | 5.05 m row 2 : 2006 | world junior championships | beijing, china | 5th | 5.30 m row 3 : 2008 | olympic games | beijing, china | 10th | 5.45 m row 4 : 2009 | european u23 championships | kaunas, lithuania | 8th | 5.15 m row 5 : 2009 | world championships | berlin, germany | 22nd (q) | 5.40 m row 6 : 2010 | european championships | barcelona, spain | 10th | 5.60 m row 7 : 2011 | world championships | daegu, south korea | 9th | 5.65 m row 8 : 2012 | european championships | helsinki, finland | 6th | 5.60 m row 9 : 2012 | olympic games | london, united kingdom | 8th | 5.65 m row 10 : 2013 | european indoor championships | gothenburg, sweden | 5th | 5.71 m row 11 : 2014 | world indoor championships | sopot, poland | 3rd | 5.80 m | col : year row 1 : 2005 | select year where venue = 'marrakech, morocco' <table_name> : table \begin{tabular}{llllll}
\toprule
& year & competition & venue & position & notes \\
\midrule
0 & 2005 & world youth championships & marrakech, morocco & 6th & 5.05 m \\
1 & 2006 & world junior championships & beijing, china & 5th & 5.30 m \\
2 & 2008 & olympic games & beijing, china & 10th & 5.45 m \\
3 & 2009 & european u23 championships & kaunas, lithuania & 8th & 5.15 m \\
4 & 2009 & world championships & berlin, germany & 22nd (q) & 5.40 m \\
5 & 2010 & european championships & barcelona, spain & 10th & 5.60 m \\
6 & 2011 & world championships & daegu, south korea & 9th & 5.65 m \\
7 & 2012 & european championships & helsinki, finland & 6th & 5.60 m \\
8 & 2012 & olympic games & london, united kingdom & 8th & 5.65 m \\
9 & 2013 & european indoor championships & gothenburg, sweden & 5th & 5.71 m \\
10 & 2014 & world indoor championships & sopot, poland & 3rd & 5.80 m \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& year \\
\midrule
0 & 2005 \\
\bottomrule
\end{tabular}
| select year where venue = 'marrakech, morocco' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>competition</th>
<th>venue</th>
<th>position</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2005</td>
<td>world youth championships</td>
<td>marrakech, morocco</td>
<td>6th</td>
<td>5.05 m</td>
</tr>
<tr>
<th>1</th>
<td>2006</td>
<td>world junior championships</td>
<td>beijing, china</td>
<td>5th</td>
<td>5.30 m</td>
</tr>
<tr>
<th>2</th>
<td>2008</td>
<td>olympic games</td>
<td>beijing, china</td>
<td>10th</td>
<td>5.45 m</td>
</tr>
<tr>
<th>3</th>
<td>2009</td>
<td>european u23 championships</td>
<td>kaunas, lithuania</td>
<td>8th</td>
<td>5.15 m</td>
</tr>
<tr>
<th>4</th>
<td>2009</td>
<td>world championships</td>
<td>berlin, germany</td>
<td>22nd (q)</td>
<td>5.40 m</td>
</tr>
<tr>
<th>5</th>
<td>2010</td>
<td>european championships</td>
<td>barcelona, spain</td>
<td>10th</td>
<td>5.60 m</td>
</tr>
<tr>
<th>6</th>
<td>2011</td>
<td>world championships</td>
<td>daegu, south korea</td>
<td>9th</td>
<td>5.65 m</td>
</tr>
<tr>
<th>7</th>
<td>2012</td>
<td>european championships</td>
<td>helsinki, finland</td>
<td>6th</td>
<td>5.60 m</td>
</tr>
<tr>
<th>8</th>
<td>2012</td>
<td>olympic games</td>
<td>london, united kingdom</td>
<td>8th</td>
<td>5.65 m</td>
</tr>
<tr>
<th>9</th>
<td>2013</td>
<td>european indoor championships</td>
<td>gothenburg, sweden</td>
<td>5th</td>
<td>5.71 m</td>
</tr>
<tr>
<th>10</th>
<td>2014</td>
<td>world indoor championships</td>
<td>sopot, poland</td>
<td>3rd</td>
<td>5.80 m</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2005</td>
</tr>
</tbody>
</table> | select year where venue = 'marrakech, morocco' <table_name> : table | | year | competition | venue | position | notes |
|---:|-------:|:------------------------------|:-----------------------|:-----------|:--------|
| 0 | 2005 | world youth championships | marrakech, morocco | 6th | 5.05 m |
| 1 | 2006 | world junior championships | beijing, china | 5th | 5.30 m |
| 2 | 2008 | olympic games | beijing, china | 10th | 5.45 m |
| 3 | 2009 | european u23 championships | kaunas, lithuania | 8th | 5.15 m |
| 4 | 2009 | world championships | berlin, germany | 22nd (q) | 5.40 m |
| 5 | 2010 | european championships | barcelona, spain | 10th | 5.60 m |
| 6 | 2011 | world championships | daegu, south korea | 9th | 5.65 m |
| 7 | 2012 | european championships | helsinki, finland | 6th | 5.60 m |
| 8 | 2012 | olympic games | london, united kingdom | 8th | 5.65 m |
| 9 | 2013 | european indoor championships | gothenburg, sweden | 5th | 5.71 m |
| 10 | 2014 | world indoor championships | sopot, poland | 3rd | 5.80 m | | | | year |
|---:|-------:|
| 0 | 2005 | | [
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select count ( * ) where venue = 'milwaukee county stadium' col : week | date | opponent | result | venue | attendance row 1 : 1 | 1978-09-03 00:00:00 | at detroit lions | w 13-7 | pontiac silverdome | 51187 row 2 : 2 | 1978-09-10 00:00:00 | new orleans saints | w 28-17 | milwaukee county stadium | 54336 row 3 : 3 | 1978-09-17 00:00:00 | oakland raiders | l 28-3 | lambeau field | 55903 row 4 : 4 | 1978-09-24 00:00:00 | at san diego chargers | w 24-3 | san diego stadium | 42755 row 5 : 5 | 1978-10-01 00:00:00 | detroit lions | w 35-14 | milwaukee county stadium | 54601 row 6 : 6 | 1978-10-08 00:00:00 | chicago bears | w 24-14 | lambeau field | 56267 row 7 : 7 | 1978-10-15 00:00:00 | seattle seahawks | w 45-28 | milwaukee county stadium | 52712 row 8 : 8 | 1978-10-22 00:00:00 | at minnesota vikings | l 21-7 | metropolitan stadium | 47411 row 9 : 9 | 1978-10-29 00:00:00 | tampa bay buccaneers | w 9-7 | lambeau field | 55108 row 10 : 10 | 1978-11-05 00:00:00 | at philadelphia eagles | l 10-3 | veterans stadium | 64214 row 11 : 11 | 1978-11-12 00:00:00 | dallas cowboys | l 42-14 | milwaukee county stadium | 55256 row 12 : 12 | 1978-11-19 00:00:00 | at denver broncos | l 16-3 | mile high stadium | 74965 row 13 : 13 | 1978-11-26 00:00:00 | minnesota vikings | t 10-10 (ot) | lambeau field | 51737 row 14 : 14 | 1978-12-03 00:00:00 | at tampa bay buccaneers | w 17-7 | tampa stadium | 67754 row 15 : 15 | 1978-12-10 00:00:00 | at chicago bears | l 14-0 | soldier field | 34306 row 16 : 16 | 1978-12-17 00:00:00 | at los angeles rams | l 31-14 | los angeles memorial coliseum | 42500 | col : count ( "*" ) row 1 : 4 | select count ( * ) where venue = 'milwaukee county stadium' <table_name> : table \begin{tabular}{lllllll}
\toprule
& week & date & opponent & result & venue & attendance \\
\midrule
0 & 1 & 1978-09-03 00:00:00 & at detroit lions & w 13-7 & pontiac silverdome & 51187 \\
1 & 2 & 1978-09-10 00:00:00 & new orleans saints & w 28-17 & milwaukee county stadium & 54336 \\
2 & 3 & 1978-09-17 00:00:00 & oakland raiders & l 28-3 & lambeau field & 55903 \\
3 & 4 & 1978-09-24 00:00:00 & at san diego chargers & w 24-3 & san diego stadium & 42755 \\
4 & 5 & 1978-10-01 00:00:00 & detroit lions & w 35-14 & milwaukee county stadium & 54601 \\
5 & 6 & 1978-10-08 00:00:00 & chicago bears & w 24-14 & lambeau field & 56267 \\
6 & 7 & 1978-10-15 00:00:00 & seattle seahawks & w 45-28 & milwaukee county stadium & 52712 \\
7 & 8 & 1978-10-22 00:00:00 & at minnesota vikings & l 21-7 & metropolitan stadium & 47411 \\
8 & 9 & 1978-10-29 00:00:00 & tampa bay buccaneers & w 9-7 & lambeau field & 55108 \\
9 & 10 & 1978-11-05 00:00:00 & at philadelphia eagles & l 10-3 & veterans stadium & 64214 \\
10 & 11 & 1978-11-12 00:00:00 & dallas cowboys & l 42-14 & milwaukee county stadium & 55256 \\
11 & 12 & 1978-11-19 00:00:00 & at denver broncos & l 16-3 & mile high stadium & 74965 \\
12 & 13 & 1978-11-26 00:00:00 & minnesota vikings & t 10-10 (ot) & lambeau field & 51737 \\
13 & 14 & 1978-12-03 00:00:00 & at tampa bay buccaneers & w 17-7 & tampa stadium & 67754 \\
14 & 15 & 1978-12-10 00:00:00 & at chicago bears & l 14-0 & soldier field & 34306 \\
15 & 16 & 1978-12-17 00:00:00 & at los angeles rams & l 31-14 & los angeles memorial coliseum & 42500 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 4 \\
\bottomrule
\end{tabular}
| select count ( * ) where venue = 'milwaukee county stadium' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>week</th>
<th>date</th>
<th>opponent</th>
<th>result</th>
<th>venue</th>
<th>attendance</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>1978-09-03 00:00:00</td>
<td>at detroit lions</td>
<td>w 13-7</td>
<td>pontiac silverdome</td>
<td>51187</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>1978-09-10 00:00:00</td>
<td>new orleans saints</td>
<td>w 28-17</td>
<td>milwaukee county stadium</td>
<td>54336</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>1978-09-17 00:00:00</td>
<td>oakland raiders</td>
<td>l 28-3</td>
<td>lambeau field</td>
<td>55903</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>1978-09-24 00:00:00</td>
<td>at san diego chargers</td>
<td>w 24-3</td>
<td>san diego stadium</td>
<td>42755</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>1978-10-01 00:00:00</td>
<td>detroit lions</td>
<td>w 35-14</td>
<td>milwaukee county stadium</td>
<td>54601</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>1978-10-08 00:00:00</td>
<td>chicago bears</td>
<td>w 24-14</td>
<td>lambeau field</td>
<td>56267</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>1978-10-15 00:00:00</td>
<td>seattle seahawks</td>
<td>w 45-28</td>
<td>milwaukee county stadium</td>
<td>52712</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>1978-10-22 00:00:00</td>
<td>at minnesota vikings</td>
<td>l 21-7</td>
<td>metropolitan stadium</td>
<td>47411</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>1978-10-29 00:00:00</td>
<td>tampa bay buccaneers</td>
<td>w 9-7</td>
<td>lambeau field</td>
<td>55108</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>1978-11-05 00:00:00</td>
<td>at philadelphia eagles</td>
<td>l 10-3</td>
<td>veterans stadium</td>
<td>64214</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>1978-11-12 00:00:00</td>
<td>dallas cowboys</td>
<td>l 42-14</td>
<td>milwaukee county stadium</td>
<td>55256</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>1978-11-19 00:00:00</td>
<td>at denver broncos</td>
<td>l 16-3</td>
<td>mile high stadium</td>
<td>74965</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>1978-11-26 00:00:00</td>
<td>minnesota vikings</td>
<td>t 10-10 (ot)</td>
<td>lambeau field</td>
<td>51737</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>1978-12-03 00:00:00</td>
<td>at tampa bay buccaneers</td>
<td>w 17-7</td>
<td>tampa stadium</td>
<td>67754</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>1978-12-10 00:00:00</td>
<td>at chicago bears</td>
<td>l 14-0</td>
<td>soldier field</td>
<td>34306</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>1978-12-17 00:00:00</td>
<td>at los angeles rams</td>
<td>l 31-14</td>
<td>los angeles memorial coliseum</td>
<td>42500</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>4</td>
</tr>
</tbody>
</table> | select count ( * ) where venue = 'milwaukee county stadium' <table_name> : table | | week | date | opponent | result | venue | attendance |
|---:|-------:|:--------------------|:------------------------|:-------------|:------------------------------|-------------:|
| 0 | 1 | 1978-09-03 00:00:00 | at detroit lions | w 13-7 | pontiac silverdome | 51187 |
| 1 | 2 | 1978-09-10 00:00:00 | new orleans saints | w 28-17 | milwaukee county stadium | 54336 |
| 2 | 3 | 1978-09-17 00:00:00 | oakland raiders | l 28-3 | lambeau field | 55903 |
| 3 | 4 | 1978-09-24 00:00:00 | at san diego chargers | w 24-3 | san diego stadium | 42755 |
| 4 | 5 | 1978-10-01 00:00:00 | detroit lions | w 35-14 | milwaukee county stadium | 54601 |
| 5 | 6 | 1978-10-08 00:00:00 | chicago bears | w 24-14 | lambeau field | 56267 |
| 6 | 7 | 1978-10-15 00:00:00 | seattle seahawks | w 45-28 | milwaukee county stadium | 52712 |
| 7 | 8 | 1978-10-22 00:00:00 | at minnesota vikings | l 21-7 | metropolitan stadium | 47411 |
| 8 | 9 | 1978-10-29 00:00:00 | tampa bay buccaneers | w 9-7 | lambeau field | 55108 |
| 9 | 10 | 1978-11-05 00:00:00 | at philadelphia eagles | l 10-3 | veterans stadium | 64214 |
| 10 | 11 | 1978-11-12 00:00:00 | dallas cowboys | l 42-14 | milwaukee county stadium | 55256 |
| 11 | 12 | 1978-11-19 00:00:00 | at denver broncos | l 16-3 | mile high stadium | 74965 |
| 12 | 13 | 1978-11-26 00:00:00 | minnesota vikings | t 10-10 (ot) | lambeau field | 51737 |
| 13 | 14 | 1978-12-03 00:00:00 | at tampa bay buccaneers | w 17-7 | tampa stadium | 67754 |
| 14 | 15 | 1978-12-10 00:00:00 | at chicago bears | l 14-0 | soldier field | 34306 |
| 15 | 16 | 1978-12-17 00:00:00 | at los angeles rams | l 31-14 | los angeles memorial coliseum | 42500 | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 4 | | [
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select result where venue = 'commonwealth stadium, edmonton, canada' col : # | date | venue | opponent | score | result | competition row 1 : 1 | 1996-01-10 00:00:00 | edison international field, anaheim, united states | honduras | 1-0 | 3-1 | 1996 concacaf gold cup row 2 : 2 | 1996-08-30 00:00:00 | commonwealth stadium, edmonton, canada | panama | 3-1 | 3-1 | 1998 fifa world cup qualification row 3 : 3 | 1997-10-12 00:00:00 | commonwealth stadium, edmonton, canada | mexico | 2-1 | 2-2 | 1998 fifa world cup qualification row 4 : 4 | 1999-10-08 00:00:00 | los angeles memorial coliseum, los angeles, united states | el salvador | 1-0 | 2-1 | 2000 concacaf gold cup qualification play off row 5 : 5 | 1999-10-10 00:00:00 | los angeles memorial coliseum, los angeles, united states | haiti | 1-0 | 2-1 | 2000 concacaf gold cup qualification play off row 6 : 6 | 1999-10-10 00:00:00 | los angeles memorial coliseum, los angeles, united states | haiti | 2-0 | 2-2 | 2000 concacaf gold cup qualification play off row 7 : 7 | 2000-02-13 00:00:00 | qualcomm stadium, san diego, united states | costa rica | 1-1 | 2-2 | 2000 concacaf gold cup row 8 : 8 | 2000-02-13 00:00:00 | qualcomm stadium, san diego, united states | costa rica | 2-2 | 2-2 | 2000 concacaf gold cup row 9 : 9 | 2000-02-20 00:00:00 | qualcomm stadium, san diego, united states | mexico | 1-1 | 2-1 | 2000 concacaf gold cup row 10 : 10 | 2000-02-27 00:00:00 | los angeles memorial coliseum, los angeles, united states | colombia | 2-0 | 2-0 | 2000 concacaf gold cup row 11 : 11 | 2004-01-18 00:00:00 | bridgetown, barbados | barbados | 1-0 | 1-0 | friendly match | col : result row 1 : 3-1 row 2 : 2-2 | select result where venue = 'commonwealth stadium, edmonton, canada' <table_name> : table \begin{tabular}{llllllll}
\toprule
& # & date & venue & opponent & score & result & competition \\
\midrule
0 & 1 & 1996-01-10 00:00:00 & edison international field, anaheim, united states & honduras & 1-0 & 3-1 & 1996 concacaf gold cup \\
1 & 2 & 1996-08-30 00:00:00 & commonwealth stadium, edmonton, canada & panama & 3-1 & 3-1 & 1998 fifa world cup qualification \\
2 & 3 & 1997-10-12 00:00:00 & commonwealth stadium, edmonton, canada & mexico & 2-1 & 2-2 & 1998 fifa world cup qualification \\
3 & 4 & 1999-10-08 00:00:00 & los angeles memorial coliseum, los angeles, united states & el salvador & 1-0 & 2-1 & 2000 concacaf gold cup qualification play off \\
4 & 5 & 1999-10-10 00:00:00 & los angeles memorial coliseum, los angeles, united states & haiti & 1-0 & 2-1 & 2000 concacaf gold cup qualification play off \\
5 & 6 & 1999-10-10 00:00:00 & los angeles memorial coliseum, los angeles, united states & haiti & 2-0 & 2-2 & 2000 concacaf gold cup qualification play off \\
6 & 7 & 2000-02-13 00:00:00 & qualcomm stadium, san diego, united states & costa rica & 1-1 & 2-2 & 2000 concacaf gold cup \\
7 & 8 & 2000-02-13 00:00:00 & qualcomm stadium, san diego, united states & costa rica & 2-2 & 2-2 & 2000 concacaf gold cup \\
8 & 9 & 2000-02-20 00:00:00 & qualcomm stadium, san diego, united states & mexico & 1-1 & 2-1 & 2000 concacaf gold cup \\
9 & 10 & 2000-02-27 00:00:00 & los angeles memorial coliseum, los angeles, united states & colombia & 2-0 & 2-0 & 2000 concacaf gold cup \\
10 & 11 & 2004-01-18 00:00:00 & bridgetown, barbados & barbados & 1-0 & 1-0 & friendly match \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& result \\
\midrule
0 & 3-1 \\
1 & 2-2 \\
\bottomrule
\end{tabular}
| select result where venue = 'commonwealth stadium, edmonton, canada' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>#</th>
<th>date</th>
<th>venue</th>
<th>opponent</th>
<th>score</th>
<th>result</th>
<th>competition</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>1996-01-10 00:00:00</td>
<td>edison international field, anaheim, united states</td>
<td>honduras</td>
<td>1-0</td>
<td>3-1</td>
<td>1996 concacaf gold cup</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>1996-08-30 00:00:00</td>
<td>commonwealth stadium, edmonton, canada</td>
<td>panama</td>
<td>3-1</td>
<td>3-1</td>
<td>1998 fifa world cup qualification</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>1997-10-12 00:00:00</td>
<td>commonwealth stadium, edmonton, canada</td>
<td>mexico</td>
<td>2-1</td>
<td>2-2</td>
<td>1998 fifa world cup qualification</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>1999-10-08 00:00:00</td>
<td>los angeles memorial coliseum, los angeles, united states</td>
<td>el salvador</td>
<td>1-0</td>
<td>2-1</td>
<td>2000 concacaf gold cup qualification play off</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>1999-10-10 00:00:00</td>
<td>los angeles memorial coliseum, los angeles, united states</td>
<td>haiti</td>
<td>1-0</td>
<td>2-1</td>
<td>2000 concacaf gold cup qualification play off</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>1999-10-10 00:00:00</td>
<td>los angeles memorial coliseum, los angeles, united states</td>
<td>haiti</td>
<td>2-0</td>
<td>2-2</td>
<td>2000 concacaf gold cup qualification play off</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>2000-02-13 00:00:00</td>
<td>qualcomm stadium, san diego, united states</td>
<td>costa rica</td>
<td>1-1</td>
<td>2-2</td>
<td>2000 concacaf gold cup</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>2000-02-13 00:00:00</td>
<td>qualcomm stadium, san diego, united states</td>
<td>costa rica</td>
<td>2-2</td>
<td>2-2</td>
<td>2000 concacaf gold cup</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>2000-02-20 00:00:00</td>
<td>qualcomm stadium, san diego, united states</td>
<td>mexico</td>
<td>1-1</td>
<td>2-1</td>
<td>2000 concacaf gold cup</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>2000-02-27 00:00:00</td>
<td>los angeles memorial coliseum, los angeles, united states</td>
<td>colombia</td>
<td>2-0</td>
<td>2-0</td>
<td>2000 concacaf gold cup</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>2004-01-18 00:00:00</td>
<td>bridgetown, barbados</td>
<td>barbados</td>
<td>1-0</td>
<td>1-0</td>
<td>friendly match</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>result</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>3-1</td>
</tr>
<tr>
<th>1</th>
<td>2-2</td>
</tr>
</tbody>
</table> | select result where venue = 'commonwealth stadium, edmonton, canada' <table_name> : table | | # | date | venue | opponent | score | result | competition |
|---:|----:|:--------------------|:----------------------------------------------------------|:------------|:--------|:---------|:----------------------------------------------|
| 0 | 1 | 1996-01-10 00:00:00 | edison international field, anaheim, united states | honduras | 1-0 | 3-1 | 1996 concacaf gold cup |
| 1 | 2 | 1996-08-30 00:00:00 | commonwealth stadium, edmonton, canada | panama | 3-1 | 3-1 | 1998 fifa world cup qualification |
| 2 | 3 | 1997-10-12 00:00:00 | commonwealth stadium, edmonton, canada | mexico | 2-1 | 2-2 | 1998 fifa world cup qualification |
| 3 | 4 | 1999-10-08 00:00:00 | los angeles memorial coliseum, los angeles, united states | el salvador | 1-0 | 2-1 | 2000 concacaf gold cup qualification play off |
| 4 | 5 | 1999-10-10 00:00:00 | los angeles memorial coliseum, los angeles, united states | haiti | 1-0 | 2-1 | 2000 concacaf gold cup qualification play off |
| 5 | 6 | 1999-10-10 00:00:00 | los angeles memorial coliseum, los angeles, united states | haiti | 2-0 | 2-2 | 2000 concacaf gold cup qualification play off |
| 6 | 7 | 2000-02-13 00:00:00 | qualcomm stadium, san diego, united states | costa rica | 1-1 | 2-2 | 2000 concacaf gold cup |
| 7 | 8 | 2000-02-13 00:00:00 | qualcomm stadium, san diego, united states | costa rica | 2-2 | 2-2 | 2000 concacaf gold cup |
| 8 | 9 | 2000-02-20 00:00:00 | qualcomm stadium, san diego, united states | mexico | 1-1 | 2-1 | 2000 concacaf gold cup |
| 9 | 10 | 2000-02-27 00:00:00 | los angeles memorial coliseum, los angeles, united states | colombia | 2-0 | 2-0 | 2000 concacaf gold cup |
| 10 | 11 | 2004-01-18 00:00:00 | bridgetown, barbados | barbados | 1-0 | 1-0 | friendly match | | | | result |
|---:|:---------|
| 0 | 3-1 |
| 1 | 2-2 | | [
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select laps where constructor = 'shadow-ford' group by laps order by count ( driver ) desc limit 1 col : pos | no | driver | constructor | laps | time/retired | grid row 1 : 1 | 12 | clay regazzoni | ferrari | 60 | 1:01:25.34 | 3 row 2 : 2 | 4 | patrick depailler | tyrrell-ford | 60 | + 0:08.35 | 5 row 3 : 3 | 2 | jochen mass | mclaren-ford | 60 | + 0:15.44 | 4 row 4 : 4 | 5 | ronnie peterson | lotus-ford | 60 | + 0:40.14 | 10 row 5 : 5 | 18 | john watson | surtees-ford | 60 | + 0:45.55 | 6 row 6 : 6 | 8 | carlos pace | brabham-ford | 60 | + 0:45.90 | 7 row 7 : 7 | 16 | tom pryce | shadow-ford | 60 | + 0:46.66 | 8 row 8 : 8 | 24 | james hunt | hesketh-ford | 59 | + 1 lap | 11 row 9 : 9 | 31 | chris amon | ensign-ford | 59 | + 1 lap | 9 row 10 : 10 | 21 | jacques laffite | williams-ford | 59 | + 1 lap | 13 row 11 : 11 | 9 | vittorio brambilla | march-ford | 58 | + 2 laps | 12 row 12 : 12 | 22 | rolf stommelen | hill-ford | 58 | + 2 laps | 14 row 13 : 13 | 35 | tony trimmer | maki-ford | 54 | + 6 laps | 16 row 14 : nc | 20 | jo vonlanthen | williams-ford | 51 | + 9 laps | 15 row 15 : ret | 17 | jean-pierre jarier | shadow-ford | 33 | transmission | 1 row 16 : ret | 1 | emerson fittipaldi | mclaren-ford | 6 | clutch | 2 | col : laps row 1 : 60 | select laps where constructor = 'shadow-ford' group by laps order by count ( driver ) desc limit 1 <table_name> : table \begin{tabular}{llllllll}
\toprule
& pos & no & driver & constructor & laps & time/retired & grid \\
\midrule
0 & 1 & 12 & clay regazzoni & ferrari & 60 & 1:01:25.34 & 3 \\
1 & 2 & 4 & patrick depailler & tyrrell-ford & 60 & + 0:08.35 & 5 \\
2 & 3 & 2 & jochen mass & mclaren-ford & 60 & + 0:15.44 & 4 \\
3 & 4 & 5 & ronnie peterson & lotus-ford & 60 & + 0:40.14 & 10 \\
4 & 5 & 18 & john watson & surtees-ford & 60 & + 0:45.55 & 6 \\
5 & 6 & 8 & carlos pace & brabham-ford & 60 & + 0:45.90 & 7 \\
6 & 7 & 16 & tom pryce & shadow-ford & 60 & + 0:46.66 & 8 \\
7 & 8 & 24 & james hunt & hesketh-ford & 59 & + 1 lap & 11 \\
8 & 9 & 31 & chris amon & ensign-ford & 59 & + 1 lap & 9 \\
9 & 10 & 21 & jacques laffite & williams-ford & 59 & + 1 lap & 13 \\
10 & 11 & 9 & vittorio brambilla & march-ford & 58 & + 2 laps & 12 \\
11 & 12 & 22 & rolf stommelen & hill-ford & 58 & + 2 laps & 14 \\
12 & 13 & 35 & tony trimmer & maki-ford & 54 & + 6 laps & 16 \\
13 & nc & 20 & jo vonlanthen & williams-ford & 51 & + 9 laps & 15 \\
14 & ret & 17 & jean-pierre jarier & shadow-ford & 33 & transmission & 1 \\
15 & ret & 1 & emerson fittipaldi & mclaren-ford & 6 & clutch & 2 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& laps \\
\midrule
0 & 60 \\
\bottomrule
\end{tabular}
| select laps where constructor = 'shadow-ford' group by laps order by count ( driver ) desc limit 1 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>pos</th>
<th>no</th>
<th>driver</th>
<th>constructor</th>
<th>laps</th>
<th>time/retired</th>
<th>grid</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>12</td>
<td>clay regazzoni</td>
<td>ferrari</td>
<td>60</td>
<td>1:01:25.34</td>
<td>3</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>4</td>
<td>patrick depailler</td>
<td>tyrrell-ford</td>
<td>60</td>
<td>+ 0:08.35</td>
<td>5</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>2</td>
<td>jochen mass</td>
<td>mclaren-ford</td>
<td>60</td>
<td>+ 0:15.44</td>
<td>4</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>5</td>
<td>ronnie peterson</td>
<td>lotus-ford</td>
<td>60</td>
<td>+ 0:40.14</td>
<td>10</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>18</td>
<td>john watson</td>
<td>surtees-ford</td>
<td>60</td>
<td>+ 0:45.55</td>
<td>6</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>8</td>
<td>carlos pace</td>
<td>brabham-ford</td>
<td>60</td>
<td>+ 0:45.90</td>
<td>7</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>16</td>
<td>tom pryce</td>
<td>shadow-ford</td>
<td>60</td>
<td>+ 0:46.66</td>
<td>8</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>24</td>
<td>james hunt</td>
<td>hesketh-ford</td>
<td>59</td>
<td>+ 1 lap</td>
<td>11</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>31</td>
<td>chris amon</td>
<td>ensign-ford</td>
<td>59</td>
<td>+ 1 lap</td>
<td>9</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>21</td>
<td>jacques laffite</td>
<td>williams-ford</td>
<td>59</td>
<td>+ 1 lap</td>
<td>13</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>9</td>
<td>vittorio brambilla</td>
<td>march-ford</td>
<td>58</td>
<td>+ 2 laps</td>
<td>12</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>22</td>
<td>rolf stommelen</td>
<td>hill-ford</td>
<td>58</td>
<td>+ 2 laps</td>
<td>14</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>35</td>
<td>tony trimmer</td>
<td>maki-ford</td>
<td>54</td>
<td>+ 6 laps</td>
<td>16</td>
</tr>
<tr>
<th>13</th>
<td>nc</td>
<td>20</td>
<td>jo vonlanthen</td>
<td>williams-ford</td>
<td>51</td>
<td>+ 9 laps</td>
<td>15</td>
</tr>
<tr>
<th>14</th>
<td>ret</td>
<td>17</td>
<td>jean-pierre jarier</td>
<td>shadow-ford</td>
<td>33</td>
<td>transmission</td>
<td>1</td>
</tr>
<tr>
<th>15</th>
<td>ret</td>
<td>1</td>
<td>emerson fittipaldi</td>
<td>mclaren-ford</td>
<td>6</td>
<td>clutch</td>
<td>2</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>laps</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>60</td>
</tr>
</tbody>
</table> | select laps where constructor = 'shadow-ford' group by laps order by count ( driver ) desc limit 1 <table_name> : table | | pos | no | driver | constructor | laps | time/retired | grid |
|---:|:------|-----:|:-------------------|:--------------|-------:|:---------------|-------:|
| 0 | 1 | 12 | clay regazzoni | ferrari | 60 | 1:01:25.34 | 3 |
| 1 | 2 | 4 | patrick depailler | tyrrell-ford | 60 | + 0:08.35 | 5 |
| 2 | 3 | 2 | jochen mass | mclaren-ford | 60 | + 0:15.44 | 4 |
| 3 | 4 | 5 | ronnie peterson | lotus-ford | 60 | + 0:40.14 | 10 |
| 4 | 5 | 18 | john watson | surtees-ford | 60 | + 0:45.55 | 6 |
| 5 | 6 | 8 | carlos pace | brabham-ford | 60 | + 0:45.90 | 7 |
| 6 | 7 | 16 | tom pryce | shadow-ford | 60 | + 0:46.66 | 8 |
| 7 | 8 | 24 | james hunt | hesketh-ford | 59 | + 1 lap | 11 |
| 8 | 9 | 31 | chris amon | ensign-ford | 59 | + 1 lap | 9 |
| 9 | 10 | 21 | jacques laffite | williams-ford | 59 | + 1 lap | 13 |
| 10 | 11 | 9 | vittorio brambilla | march-ford | 58 | + 2 laps | 12 |
| 11 | 12 | 22 | rolf stommelen | hill-ford | 58 | + 2 laps | 14 |
| 12 | 13 | 35 | tony trimmer | maki-ford | 54 | + 6 laps | 16 |
| 13 | nc | 20 | jo vonlanthen | williams-ford | 51 | + 9 laps | 15 |
| 14 | ret | 17 | jean-pierre jarier | shadow-ford | 33 | transmission | 1 |
| 15 | ret | 1 | emerson fittipaldi | mclaren-ford | 6 | clutch | 2 | | | | laps |
|---:|-------:|
| 0 | 60 | | [
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] |
select pick where school/club team = 'central michigan' col : round | pick | player | position | school/club team row 1 : 1 | 8 | eric fraser | s | central michigan row 2 : 2 | 16 | tristan black | lb | wayne state row 3 : 3 | 24 | john hashem | ot | regina row 4 : 4 | 28 | spencer armstrong | wr | air force row 5 : 4 | 30 | steve myddelton | de | st. francis xavier row 6 : 4 | 32 | scott mchenry | sb | saskatchewan row 7 : 5 | 40 | osie ukwuoma | dl | queen's row 8 : 6 | 48 | john kanaroski | wr | regina | col : pick row 1 : 8 | select pick where school/club team = 'central michigan' <table_name> : table \begin{tabular}{llllll}
\toprule
& round & pick & player & position & school/club team \\
\midrule
0 & 1 & 8 & eric fraser & s & central michigan \\
1 & 2 & 16 & tristan black & lb & wayne state \\
2 & 3 & 24 & john hashem & ot & regina \\
3 & 4 & 28 & spencer armstrong & wr & air force \\
4 & 4 & 30 & steve myddelton & de & st. francis xavier \\
5 & 4 & 32 & scott mchenry & sb & saskatchewan \\
6 & 5 & 40 & osie ukwuoma & dl & queen's \\
7 & 6 & 48 & john kanaroski & wr & regina \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& pick \\
\midrule
0 & 8 \\
\bottomrule
\end{tabular}
| select pick where school/club team = 'central michigan' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>round</th>
<th>pick</th>
<th>player</th>
<th>position</th>
<th>school/club team</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>8</td>
<td>eric fraser</td>
<td>s</td>
<td>central michigan</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>16</td>
<td>tristan black</td>
<td>lb</td>
<td>wayne state</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>24</td>
<td>john hashem</td>
<td>ot</td>
<td>regina</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>28</td>
<td>spencer armstrong</td>
<td>wr</td>
<td>air force</td>
</tr>
<tr>
<th>4</th>
<td>4</td>
<td>30</td>
<td>steve myddelton</td>
<td>de</td>
<td>st. francis xavier</td>
</tr>
<tr>
<th>5</th>
<td>4</td>
<td>32</td>
<td>scott mchenry</td>
<td>sb</td>
<td>saskatchewan</td>
</tr>
<tr>
<th>6</th>
<td>5</td>
<td>40</td>
<td>osie ukwuoma</td>
<td>dl</td>
<td>queen's</td>
</tr>
<tr>
<th>7</th>
<td>6</td>
<td>48</td>
<td>john kanaroski</td>
<td>wr</td>
<td>regina</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>pick</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>8</td>
</tr>
</tbody>
</table> | select pick where school/club team = 'central michigan' <table_name> : table | | round | pick | player | position | school/club team |
|---:|--------:|-------:|:------------------|:-----------|:-------------------|
| 0 | 1 | 8 | eric fraser | s | central michigan |
| 1 | 2 | 16 | tristan black | lb | wayne state |
| 2 | 3 | 24 | john hashem | ot | regina |
| 3 | 4 | 28 | spencer armstrong | wr | air force |
| 4 | 4 | 30 | steve myddelton | de | st. francis xavier |
| 5 | 4 | 32 | scott mchenry | sb | saskatchewan |
| 6 | 5 | 40 | osie ukwuoma | dl | queen's |
| 7 | 6 | 48 | john kanaroski | wr | regina | | | | pick |
|---:|-------:|
| 0 | 8 | | [
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select song where song = '"one thing"' order by year desc limit 1 col : year | song | us hot 100 | u.s. modern rock | u.s. mainstream rock | album row 1 : 1997 | "pacifier" | | | none | pacifier row 2 : 1997 | "one thing" | | | none | pacifier row 3 : 1997 | "defaced" | | | none | pacifier row 4 : 1998 | "breathe out" | | | none | an audio guide to everyday atrocity row 5 : 1998 | "the sick" | | | none | an audio guide to everyday atrocity row 6 : 2001 | "bleeder" | | | 32 | violence row 7 : 2003 | "ether" | | | none | skeletons | col : song row 1 : "one thing" | select song where song = '"one thing"' order by year desc limit 1 <table_name> : table \begin{tabular}{lllllll}
\toprule
& year & song & us hot 100 & u.s. modern rock & u.s. mainstream rock & album \\
\midrule
0 & 1997 & "pacifier" & & & none & pacifier \\
1 & 1997 & "one thing" & & & none & pacifier \\
2 & 1997 & "defaced" & & & none & pacifier \\
3 & 1998 & "breathe out" & & & none & an audio guide to everyday atrocity \\
4 & 1998 & "the sick" & & & none & an audio guide to everyday atrocity \\
5 & 2001 & "bleeder" & & & 32 & violence \\
6 & 2003 & "ether" & & & none & skeletons \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& song \\
\midrule
0 & "one thing" \\
\bottomrule
\end{tabular}
| select song where song = '"one thing"' order by year desc limit 1 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>song</th>
<th>us hot 100</th>
<th>u.s. modern rock</th>
<th>u.s. mainstream rock</th>
<th>album</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1997</td>
<td>"pacifier"</td>
<td></td>
<td></td>
<td>none</td>
<td>pacifier</td>
</tr>
<tr>
<th>1</th>
<td>1997</td>
<td>"one thing"</td>
<td></td>
<td></td>
<td>none</td>
<td>pacifier</td>
</tr>
<tr>
<th>2</th>
<td>1997</td>
<td>"defaced"</td>
<td></td>
<td></td>
<td>none</td>
<td>pacifier</td>
</tr>
<tr>
<th>3</th>
<td>1998</td>
<td>"breathe out"</td>
<td></td>
<td></td>
<td>none</td>
<td>an audio guide to everyday atrocity</td>
</tr>
<tr>
<th>4</th>
<td>1998</td>
<td>"the sick"</td>
<td></td>
<td></td>
<td>none</td>
<td>an audio guide to everyday atrocity</td>
</tr>
<tr>
<th>5</th>
<td>2001</td>
<td>"bleeder"</td>
<td></td>
<td></td>
<td>32</td>
<td>violence</td>
</tr>
<tr>
<th>6</th>
<td>2003</td>
<td>"ether"</td>
<td></td>
<td></td>
<td>none</td>
<td>skeletons</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>song</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>"one thing"</td>
</tr>
</tbody>
</table> | select song where song = '"one thing"' order by year desc limit 1 <table_name> : table | | year | song | us hot 100 | u.s. modern rock | u.s. mainstream rock | album |
|---:|-------:|:--------------|:-------------|:-------------------|:-----------------------|:------------------------------------|
| 0 | 1997 | "pacifier" | | | none | pacifier |
| 1 | 1997 | "one thing" | | | none | pacifier |
| 2 | 1997 | "defaced" | | | none | pacifier |
| 3 | 1998 | "breathe out" | | | none | an audio guide to everyday atrocity |
| 4 | 1998 | "the sick" | | | none | an audio guide to everyday atrocity |
| 5 | 2001 | "bleeder" | | | 32 | violence |
| 6 | 2003 | "ether" | | | none | skeletons | | | | song |
|---:|:------------|
| 0 | "one thing" | | [
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select count ( * ) where location = 1 col : location | building | year | km | monument row 1 : bischofsheim | station building | 1958 | 8.25 | row 2 : russelsheim | linesmen house | 1863 | 12.8 | row 3 : raunheim | station building | 1863 | 15.87 | row 4 : raunheim | linesmen house | 1863 | 17.39 | row 5 : kelsterbach | rail bridge | 1863 | 21.75 | row 6 : kelsterbach | linesmen house | 1863 | 23.6 | row 7 : kelsterbach | station building | 1863 | 23.81 | row 8 : stadion | station building | 1879 | 31.37 | row 9 : niederrad | station building | 1882 | 33.19 | row 10 : sachsenhausen | rail bridge | 1864 | 34.47 | | col : count ( "*" ) row 1 : 0 | select count ( * ) where location = 1 <table_name> : table \begin{tabular}{llllll}
\toprule
& location & building & year & km & monument \\
\midrule
0 & bischofsheim & station building & 1958 & 8.25 & \\
1 & russelsheim & linesmen house & 1863 & 12.8 & \\
2 & raunheim & station building & 1863 & 15.87 & \\
3 & raunheim & linesmen house & 1863 & 17.39 & \\
4 & kelsterbach & rail bridge & 1863 & 21.75 & \\
5 & kelsterbach & linesmen house & 1863 & 23.6 & \\
6 & kelsterbach & station building & 1863 & 23.81 & \\
7 & stadion & station building & 1879 & 31.37 & \\
8 & niederrad & station building & 1882 & 33.19 & \\
9 & sachsenhausen & rail bridge & 1864 & 34.47 | & NaN \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( * ) where location = 1 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>location</th>
<th>building</th>
<th>year</th>
<th>km</th>
<th>monument</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>bischofsheim</td>
<td>station building</td>
<td>1958</td>
<td>8.25</td>
<td></td>
</tr>
<tr>
<th>1</th>
<td>russelsheim</td>
<td>linesmen house</td>
<td>1863</td>
<td>12.8</td>
<td></td>
</tr>
<tr>
<th>2</th>
<td>raunheim</td>
<td>station building</td>
<td>1863</td>
<td>15.87</td>
<td></td>
</tr>
<tr>
<th>3</th>
<td>raunheim</td>
<td>linesmen house</td>
<td>1863</td>
<td>17.39</td>
<td></td>
</tr>
<tr>
<th>4</th>
<td>kelsterbach</td>
<td>rail bridge</td>
<td>1863</td>
<td>21.75</td>
<td></td>
</tr>
<tr>
<th>5</th>
<td>kelsterbach</td>
<td>linesmen house</td>
<td>1863</td>
<td>23.6</td>
<td></td>
</tr>
<tr>
<th>6</th>
<td>kelsterbach</td>
<td>station building</td>
<td>1863</td>
<td>23.81</td>
<td></td>
</tr>
<tr>
<th>7</th>
<td>stadion</td>
<td>station building</td>
<td>1879</td>
<td>31.37</td>
<td></td>
</tr>
<tr>
<th>8</th>
<td>niederrad</td>
<td>station building</td>
<td>1882</td>
<td>33.19</td>
<td></td>
</tr>
<tr>
<th>9</th>
<td>sachsenhausen</td>
<td>rail bridge</td>
<td>1864</td>
<td>34.47 |</td>
<td>None</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select count ( * ) where location = 1 <table_name> : table | | location | building | year | km | monument |
|---:|:--------------|:-----------------|-------:|:--------|:-----------|
| 0 | bischofsheim | station building | 1958 | 8.25 | |
| 1 | russelsheim | linesmen house | 1863 | 12.8 | |
| 2 | raunheim | station building | 1863 | 15.87 | |
| 3 | raunheim | linesmen house | 1863 | 17.39 | |
| 4 | kelsterbach | rail bridge | 1863 | 21.75 | |
| 5 | kelsterbach | linesmen house | 1863 | 23.6 | |
| 6 | kelsterbach | station building | 1863 | 23.81 | |
| 7 | stadion | station building | 1879 | 31.37 | |
| 8 | niederrad | station building | 1882 | 33.19 | |
| 9 | sachsenhausen | rail bridge | 1864 | 34.47 | | | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 0 | | [
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select gold where nation = 'belgium' col : rank | nation | gold | silver | bronze | total row 1 : 1 | russia | 7 | 3 | 0 | 10 row 2 : 2 | italy | 1 | 3 | 0 | 4 row 3 : 3 | france | 1 | 1 | 2 | 4 row 4 : 4 | austria | 1 | 1 | 0 | 2 row 5 : 4 | germany | 1 | 1 | 0 | 2 row 6 : 4 | iran | 1 | 1 | 0 | 2 row 7 : 4 | israel | 1 | 1 | 0 | 2 row 8 : 8 | poland | 1 | 0 | 5 | 6 row 9 : 9 | netherlands | 1 | 0 | 1 | 2 row 10 : 9 | romania | 1 | 0 | 1 | 2 row 11 : 11 | belgium | 1 | 0 | 0 | 1 row 12 : 11 | mexico | 1 | 0 | 0 | 1 row 13 : 13 | spain | 0 | 2 | 0 | 2 row 14 : 14 | sweden | 0 | 1 | 3 | 4 row 15 : 15 | colombia | 0 | 1 | 1 | 2 row 16 : 15 | ukraine | 0 | 1 | 1 | 2 row 17 : 17 | denmark | 0 | 1 | 0 | 1 row 18 : 17 | switzerland | 0 | 1 | 0 | 1 row 19 : 19 | algeria | 0 | 0 | 1 | 1 row 20 : 19 | greece | 0 | 0 | 1 | 1 row 21 : 19 | kazakhstan | 0 | 0 | 1 | 1 row 22 : 19 | slovenia | 0 | 0 | 1 | 1 row 23 : total | total | 18 | 18 | 18 | 54 | col : gold row 1 : 1 | select gold where nation = 'belgium' <table_name> : table \begin{tabular}{lllllll}
\toprule
& rank & nation & gold & silver & bronze & total \\
\midrule
0 & 1 & russia & 7 & 3 & 0 & 10 \\
1 & 2 & italy & 1 & 3 & 0 & 4 \\
2 & 3 & france & 1 & 1 & 2 & 4 \\
3 & 4 & austria & 1 & 1 & 0 & 2 \\
4 & 4 & germany & 1 & 1 & 0 & 2 \\
5 & 4 & iran & 1 & 1 & 0 & 2 \\
6 & 4 & israel & 1 & 1 & 0 & 2 \\
7 & 8 & poland & 1 & 0 & 5 & 6 \\
8 & 9 & netherlands & 1 & 0 & 1 & 2 \\
9 & 9 & romania & 1 & 0 & 1 & 2 \\
10 & 11 & belgium & 1 & 0 & 0 & 1 \\
11 & 11 & mexico & 1 & 0 & 0 & 1 \\
12 & 13 & spain & 0 & 2 & 0 & 2 \\
13 & 14 & sweden & 0 & 1 & 3 & 4 \\
14 & 15 & colombia & 0 & 1 & 1 & 2 \\
15 & 15 & ukraine & 0 & 1 & 1 & 2 \\
16 & 17 & denmark & 0 & 1 & 0 & 1 \\
17 & 17 & switzerland & 0 & 1 & 0 & 1 \\
18 & 19 & algeria & 0 & 0 & 1 & 1 \\
19 & 19 & greece & 0 & 0 & 1 & 1 \\
20 & 19 & kazakhstan & 0 & 0 & 1 & 1 \\
21 & 19 & slovenia & 0 & 0 & 1 & 1 \\
22 & total & total & 18 & 18 & 18 & 54 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& gold \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select gold where nation = 'belgium' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>nation</th>
<th>gold</th>
<th>silver</th>
<th>bronze</th>
<th>total</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>russia</td>
<td>7</td>
<td>3</td>
<td>0</td>
<td>10</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>italy</td>
<td>1</td>
<td>3</td>
<td>0</td>
<td>4</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>france</td>
<td>1</td>
<td>1</td>
<td>2</td>
<td>4</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>austria</td>
<td>1</td>
<td>1</td>
<td>0</td>
<td>2</td>
</tr>
<tr>
<th>4</th>
<td>4</td>
<td>germany</td>
<td>1</td>
<td>1</td>
<td>0</td>
<td>2</td>
</tr>
<tr>
<th>5</th>
<td>4</td>
<td>iran</td>
<td>1</td>
<td>1</td>
<td>0</td>
<td>2</td>
</tr>
<tr>
<th>6</th>
<td>4</td>
<td>israel</td>
<td>1</td>
<td>1</td>
<td>0</td>
<td>2</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>poland</td>
<td>1</td>
<td>0</td>
<td>5</td>
<td>6</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>netherlands</td>
<td>1</td>
<td>0</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<th>9</th>
<td>9</td>
<td>romania</td>
<td>1</td>
<td>0</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>belgium</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>11</th>
<td>11</td>
<td>mexico</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>spain</td>
<td>0</td>
<td>2</td>
<td>0</td>
<td>2</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>sweden</td>
<td>0</td>
<td>1</td>
<td>3</td>
<td>4</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>colombia</td>
<td>0</td>
<td>1</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<th>15</th>
<td>15</td>
<td>ukraine</td>
<td>0</td>
<td>1</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>denmark</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>17</th>
<td>17</td>
<td>switzerland</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>18</th>
<td>19</td>
<td>algeria</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>19</th>
<td>19</td>
<td>greece</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>20</th>
<td>19</td>
<td>kazakhstan</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>21</th>
<td>19</td>
<td>slovenia</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>22</th>
<td>total</td>
<td>total</td>
<td>18</td>
<td>18</td>
<td>18</td>
<td>54</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>gold</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select gold where nation = 'belgium' <table_name> : table | | rank | nation | gold | silver | bronze | total |
|---:|:-------|:------------|-------:|---------:|---------:|--------:|
| 0 | 1 | russia | 7 | 3 | 0 | 10 |
| 1 | 2 | italy | 1 | 3 | 0 | 4 |
| 2 | 3 | france | 1 | 1 | 2 | 4 |
| 3 | 4 | austria | 1 | 1 | 0 | 2 |
| 4 | 4 | germany | 1 | 1 | 0 | 2 |
| 5 | 4 | iran | 1 | 1 | 0 | 2 |
| 6 | 4 | israel | 1 | 1 | 0 | 2 |
| 7 | 8 | poland | 1 | 0 | 5 | 6 |
| 8 | 9 | netherlands | 1 | 0 | 1 | 2 |
| 9 | 9 | romania | 1 | 0 | 1 | 2 |
| 10 | 11 | belgium | 1 | 0 | 0 | 1 |
| 11 | 11 | mexico | 1 | 0 | 0 | 1 |
| 12 | 13 | spain | 0 | 2 | 0 | 2 |
| 13 | 14 | sweden | 0 | 1 | 3 | 4 |
| 14 | 15 | colombia | 0 | 1 | 1 | 2 |
| 15 | 15 | ukraine | 0 | 1 | 1 | 2 |
| 16 | 17 | denmark | 0 | 1 | 0 | 1 |
| 17 | 17 | switzerland | 0 | 1 | 0 | 1 |
| 18 | 19 | algeria | 0 | 0 | 1 | 1 |
| 19 | 19 | greece | 0 | 0 | 1 | 1 |
| 20 | 19 | kazakhstan | 0 | 0 | 1 | 1 |
| 21 | 19 | slovenia | 0 | 0 | 1 | 1 |
| 22 | total | total | 18 | 18 | 18 | 54 | | | | gold |
|---:|-------:|
| 0 | 1 | | [
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select count ( surface (km2) ) where city = 'romano di lombardia' col : pos. | city | population (ab) | surface (km2) | density (ab/km2) | altitude (mslm) row 1 : 1st | bergamo | 121.316 | 39.6 | 3064 | 249 row 2 : 2nd | treviglio | 29.334 | 31.54 | 930 | 125 row 3 : 3rd | seriate | 25.036 | 12.41 | 2017 | 247 row 4 : 4th | dalmine | 23.237 | 11.6 | 2003 | 207 row 5 : 5th | romano di lombardia | 19.472 | 18.03 | 1080 | 120 row 6 : 6th | albino | 18.232 | 31.32 | 582 | 342 row 7 : 7th | caravaggio | 16.258 | 32.81 | 496 | 111 row 8 : 8th | alzano lombardo | 13.821 | 13.43 | 1029 | 304 row 9 : 9th | stezzano | 12.999 | 9.25 | 1405 | 211 row 10 : 10th | osio sotto | 12.083 | 7.45 | 1622 | 182 | col : count ( "surface (km2" ) row 1 : 1 | select count ( surface (km2) ) where city = 'romano di lombardia' <table_name> : table \begin{tabular}{lllllll}
\toprule
& pos. & city & population (ab) & surface (km2) & density (ab/km2) & altitude (mslm) \\
\midrule
0 & 1st & bergamo & 121.316 & 39.6 & 3064 & 249 \\
1 & 2nd & treviglio & 29.334 & 31.54 & 930 & 125 \\
2 & 3rd & seriate & 25.036 & 12.41 & 2017 & 247 \\
3 & 4th & dalmine & 23.237 & 11.6 & 2003 & 207 \\
4 & 5th & romano di lombardia & 19.472 & 18.03 & 1080 & 120 \\
5 & 6th & albino & 18.232 & 31.32 & 582 & 342 \\
6 & 7th & caravaggio & 16.258 & 32.81 & 496 & 111 \\
7 & 8th & alzano lombardo & 13.821 & 13.43 & 1029 & 304 \\
8 & 9th & stezzano & 12.999 & 9.25 & 1405 & 211 \\
9 & 10th & osio sotto & 12.083 & 7.45 & 1622 & 182 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "surface (km2" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( surface (km2) ) where city = 'romano di lombardia' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>pos.</th>
<th>city</th>
<th>population (ab)</th>
<th>surface (km2)</th>
<th>density (ab/km2)</th>
<th>altitude (mslm)</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1st</td>
<td>bergamo</td>
<td>121.316</td>
<td>39.6</td>
<td>3064</td>
<td>249</td>
</tr>
<tr>
<th>1</th>
<td>2nd</td>
<td>treviglio</td>
<td>29.334</td>
<td>31.54</td>
<td>930</td>
<td>125</td>
</tr>
<tr>
<th>2</th>
<td>3rd</td>
<td>seriate</td>
<td>25.036</td>
<td>12.41</td>
<td>2017</td>
<td>247</td>
</tr>
<tr>
<th>3</th>
<td>4th</td>
<td>dalmine</td>
<td>23.237</td>
<td>11.6</td>
<td>2003</td>
<td>207</td>
</tr>
<tr>
<th>4</th>
<td>5th</td>
<td>romano di lombardia</td>
<td>19.472</td>
<td>18.03</td>
<td>1080</td>
<td>120</td>
</tr>
<tr>
<th>5</th>
<td>6th</td>
<td>albino</td>
<td>18.232</td>
<td>31.32</td>
<td>582</td>
<td>342</td>
</tr>
<tr>
<th>6</th>
<td>7th</td>
<td>caravaggio</td>
<td>16.258</td>
<td>32.81</td>
<td>496</td>
<td>111</td>
</tr>
<tr>
<th>7</th>
<td>8th</td>
<td>alzano lombardo</td>
<td>13.821</td>
<td>13.43</td>
<td>1029</td>
<td>304</td>
</tr>
<tr>
<th>8</th>
<td>9th</td>
<td>stezzano</td>
<td>12.999</td>
<td>9.25</td>
<td>1405</td>
<td>211</td>
</tr>
<tr>
<th>9</th>
<td>10th</td>
<td>osio sotto</td>
<td>12.083</td>
<td>7.45</td>
<td>1622</td>
<td>182</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "surface (km2" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( surface (km2) ) where city = 'romano di lombardia' <table_name> : table | | pos. | city | population (ab) | surface (km2) | density (ab/km2) | altitude (mslm) |
|---:|:-------|:--------------------|------------------:|----------------:|-------------------:|------------------:|
| 0 | 1st | bergamo | 121.316 | 39.6 | 3064 | 249 |
| 1 | 2nd | treviglio | 29.334 | 31.54 | 930 | 125 |
| 2 | 3rd | seriate | 25.036 | 12.41 | 2017 | 247 |
| 3 | 4th | dalmine | 23.237 | 11.6 | 2003 | 207 |
| 4 | 5th | romano di lombardia | 19.472 | 18.03 | 1080 | 120 |
| 5 | 6th | albino | 18.232 | 31.32 | 582 | 342 |
| 6 | 7th | caravaggio | 16.258 | 32.81 | 496 | 111 |
| 7 | 8th | alzano lombardo | 13.821 | 13.43 | 1029 | 304 |
| 8 | 9th | stezzano | 12.999 | 9.25 | 1405 | 211 |
| 9 | 10th | osio sotto | 12.083 | 7.45 | 1622 | 182 | | | | count ( "surface (km2" ) |
|---:|---------------------------:|
| 0 | 1 | | [
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select week where result = 'l 20-7' col : week | date | opponent | result | attendance | bye row 1 : 1 | september 1, 1991 | minnesota vikings | w 10-6 | 64112 | 0 row 2 : 2 | september 8, 1991 | at tampa bay buccaneers | w 21-20 | 65625 | 0 row 3 : 3 | september 15, 1991 | new york giants | w 20-17 | 64829 | 0 row 4 : 4 | september 23, 1991 | new york jets | w 19-13 | 65255 | 0 row 5 : 5 | september 29, 1991 | at buffalo bills | l 35-20 | 80366 | 0 row 6 : 6 | october 6, 1991 | washington redskins | l 20-7 | 64941 | 0 row 7 : 7 | none | none | none | none | 1 row 8 : 8 | october 17, 1991 | at green bay packers | w 10-0 | 58435 | 0 row 9 : 9 | october 27, 1991 | at new orleans saints | w 20-17 | 68591 | 0 row 10 : 10 | november 3, 1991 | detroit lions | w 20-10 | 57281 | 0 row 11 : 11 | november 11, 1991 | at minnesota vikings | w 34-17 | 59001 | 0 row 12 : 12 | november 17, 1991 | at indianapolis colts | w 31-17 | 60519 | 0 row 13 : 13 | november 24, 1991 | miami dolphins | l 16-13 | 58288 | 0 row 14 : 14 | november 28, 1991 | at detroit lions | l 16-6 | 78879 | 0 row 15 : 15 | december 8, 1991 | green bay packers | w 27-13 | 62353 | 0 row 16 : 16 | december 14, 1991 | tampa bay buccaneers | w 27-0 | 54719 | 0 row 17 : 17 | december 23, 1991 | at san francisco 49ers | l 52-14 | 60419 | 0 | col : week row 1 : 6 | select week where result = 'l 20-7' <table_name> : table \begin{tabular}{lllllll}
\toprule
& week & date & opponent & result & attendance & bye \\
\midrule
0 & 1 & september 1, 1991 & minnesota vikings & w 10-6 & 64112 & 0 \\
1 & 2 & september 8, 1991 & at tampa bay buccaneers & w 21-20 & 65625 & 0 \\
2 & 3 & september 15, 1991 & new york giants & w 20-17 & 64829 & 0 \\
3 & 4 & september 23, 1991 & new york jets & w 19-13 & 65255 & 0 \\
4 & 5 & september 29, 1991 & at buffalo bills & l 35-20 & 80366 & 0 \\
5 & 6 & october 6, 1991 & washington redskins & l 20-7 & 64941 & 0 \\
6 & 7 & none & none & none & none & 1 \\
7 & 8 & october 17, 1991 & at green bay packers & w 10-0 & 58435 & 0 \\
8 & 9 & october 27, 1991 & at new orleans saints & w 20-17 & 68591 & 0 \\
9 & 10 & november 3, 1991 & detroit lions & w 20-10 & 57281 & 0 \\
10 & 11 & november 11, 1991 & at minnesota vikings & w 34-17 & 59001 & 0 \\
11 & 12 & november 17, 1991 & at indianapolis colts & w 31-17 & 60519 & 0 \\
12 & 13 & november 24, 1991 & miami dolphins & l 16-13 & 58288 & 0 \\
13 & 14 & november 28, 1991 & at detroit lions & l 16-6 & 78879 & 0 \\
14 & 15 & december 8, 1991 & green bay packers & w 27-13 & 62353 & 0 \\
15 & 16 & december 14, 1991 & tampa bay buccaneers & w 27-0 & 54719 & 0 \\
16 & 17 & december 23, 1991 & at san francisco 49ers & l 52-14 & 60419 & 0 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& week \\
\midrule
0 & 6 \\
\bottomrule
\end{tabular}
| select week where result = 'l 20-7' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>week</th>
<th>date</th>
<th>opponent</th>
<th>result</th>
<th>attendance</th>
<th>bye</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>september 1, 1991</td>
<td>minnesota vikings</td>
<td>w 10-6</td>
<td>64112</td>
<td>0</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>september 8, 1991</td>
<td>at tampa bay buccaneers</td>
<td>w 21-20</td>
<td>65625</td>
<td>0</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>september 15, 1991</td>
<td>new york giants</td>
<td>w 20-17</td>
<td>64829</td>
<td>0</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>september 23, 1991</td>
<td>new york jets</td>
<td>w 19-13</td>
<td>65255</td>
<td>0</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>september 29, 1991</td>
<td>at buffalo bills</td>
<td>l 35-20</td>
<td>80366</td>
<td>0</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>october 6, 1991</td>
<td>washington redskins</td>
<td>l 20-7</td>
<td>64941</td>
<td>0</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>1</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>october 17, 1991</td>
<td>at green bay packers</td>
<td>w 10-0</td>
<td>58435</td>
<td>0</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>october 27, 1991</td>
<td>at new orleans saints</td>
<td>w 20-17</td>
<td>68591</td>
<td>0</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>november 3, 1991</td>
<td>detroit lions</td>
<td>w 20-10</td>
<td>57281</td>
<td>0</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>november 11, 1991</td>
<td>at minnesota vikings</td>
<td>w 34-17</td>
<td>59001</td>
<td>0</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>november 17, 1991</td>
<td>at indianapolis colts</td>
<td>w 31-17</td>
<td>60519</td>
<td>0</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>november 24, 1991</td>
<td>miami dolphins</td>
<td>l 16-13</td>
<td>58288</td>
<td>0</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>november 28, 1991</td>
<td>at detroit lions</td>
<td>l 16-6</td>
<td>78879</td>
<td>0</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>december 8, 1991</td>
<td>green bay packers</td>
<td>w 27-13</td>
<td>62353</td>
<td>0</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>december 14, 1991</td>
<td>tampa bay buccaneers</td>
<td>w 27-0</td>
<td>54719</td>
<td>0</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>december 23, 1991</td>
<td>at san francisco 49ers</td>
<td>l 52-14</td>
<td>60419</td>
<td>0</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>week</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>6</td>
</tr>
</tbody>
</table> | select week where result = 'l 20-7' <table_name> : table | | week | date | opponent | result | attendance | bye |
|---:|-------:|:-------------------|:------------------------|:---------|:-------------|------:|
| 0 | 1 | september 1, 1991 | minnesota vikings | w 10-6 | 64112 | 0 |
| 1 | 2 | september 8, 1991 | at tampa bay buccaneers | w 21-20 | 65625 | 0 |
| 2 | 3 | september 15, 1991 | new york giants | w 20-17 | 64829 | 0 |
| 3 | 4 | september 23, 1991 | new york jets | w 19-13 | 65255 | 0 |
| 4 | 5 | september 29, 1991 | at buffalo bills | l 35-20 | 80366 | 0 |
| 5 | 6 | october 6, 1991 | washington redskins | l 20-7 | 64941 | 0 |
| 6 | 7 | none | none | none | none | 1 |
| 7 | 8 | october 17, 1991 | at green bay packers | w 10-0 | 58435 | 0 |
| 8 | 9 | october 27, 1991 | at new orleans saints | w 20-17 | 68591 | 0 |
| 9 | 10 | november 3, 1991 | detroit lions | w 20-10 | 57281 | 0 |
| 10 | 11 | november 11, 1991 | at minnesota vikings | w 34-17 | 59001 | 0 |
| 11 | 12 | november 17, 1991 | at indianapolis colts | w 31-17 | 60519 | 0 |
| 12 | 13 | november 24, 1991 | miami dolphins | l 16-13 | 58288 | 0 |
| 13 | 14 | november 28, 1991 | at detroit lions | l 16-6 | 78879 | 0 |
| 14 | 15 | december 8, 1991 | green bay packers | w 27-13 | 62353 | 0 |
| 15 | 16 | december 14, 1991 | tampa bay buccaneers | w 27-0 | 54719 | 0 |
| 16 | 17 | december 23, 1991 | at san francisco 49ers | l 52-14 | 60419 | 0 | | | | week |
|---:|-------:|
| 0 | 6 | | [
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select class where pos. = 'dnf' order by year desc limit 1 col : year | team | co-drivers | car | class | laps | pos. | class pos. row 1 : 2001 | team den bla avis team goh | john nielsen hiroki katoh | dome s101-judd | lmp900 | 66 | dnf | dnf row 2 : 2003 | rn motorsport | john nielsen hayanari shimoda | dba4 03s-zytek | lmp675 | 288 | 22nd | 2nd row 3 : 2004 | lister racing | john nielsen jens møller | lister storm lmp-chevrolet | lmp1 | 279 | 24th | 9th row 4 : 2006 | zytek engineering team essex invest | john nielsen philip andersen | zytek 06s | lmp1 | 269 | nc | nc row 5 : 2007 | aston martin racing larbre | christophe bouchut fabrizio gollin | aston martin dbr9 | gt1 | 341 | 7th | 3rd row 6 : 2008 | team essex | john nielsen sascha maassen | porsche rs spyder evo | lmp2 | 347 | 12th | 2nd row 7 : 2009 | team essex | kristian poulsen emmanuel collard | porsche rs spyder evo | lmp2 | 357 | 10th | 1st row 8 : 2011 | hope racing | steve zacchia jan lammers | oreca 01-swiss hytech | lmp1 | 115 | dnf | dnf | col : class row 1 : lmp1 | select class where pos. = 'dnf' order by year desc limit 1 <table_name> : table \begin{tabular}{lllllllll}
\toprule
& year & team & co-drivers & car & class & laps & pos. & class pos. \\
\midrule
0 & 2001 & team den bla avis team goh & john nielsen hiroki katoh & dome s101-judd & lmp900 & 66 & dnf & dnf \\
1 & 2003 & rn motorsport & john nielsen hayanari shimoda & dba4 03s-zytek & lmp675 & 288 & 22nd & 2nd \\
2 & 2004 & lister racing & john nielsen jens møller & lister storm lmp-chevrolet & lmp1 & 279 & 24th & 9th \\
3 & 2006 & zytek engineering team essex invest & john nielsen philip andersen & zytek 06s & lmp1 & 269 & nc & nc \\
4 & 2007 & aston martin racing larbre & christophe bouchut fabrizio gollin & aston martin dbr9 & gt1 & 341 & 7th & 3rd \\
5 & 2008 & team essex & john nielsen sascha maassen & porsche rs spyder evo & lmp2 & 347 & 12th & 2nd \\
6 & 2009 & team essex & kristian poulsen emmanuel collard & porsche rs spyder evo & lmp2 & 357 & 10th & 1st \\
7 & 2011 & hope racing & steve zacchia jan lammers & oreca 01-swiss hytech & lmp1 & 115 & dnf & dnf \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& class \\
\midrule
0 & lmp1 \\
\bottomrule
\end{tabular}
| select class where pos. = 'dnf' order by year desc limit 1 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>team</th>
<th>co-drivers</th>
<th>car</th>
<th>class</th>
<th>laps</th>
<th>pos.</th>
<th>class pos.</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2001</td>
<td>team den bla avis team goh</td>
<td>john nielsen hiroki katoh</td>
<td>dome s101-judd</td>
<td>lmp900</td>
<td>66</td>
<td>dnf</td>
<td>dnf</td>
</tr>
<tr>
<th>1</th>
<td>2003</td>
<td>rn motorsport</td>
<td>john nielsen hayanari shimoda</td>
<td>dba4 03s-zytek</td>
<td>lmp675</td>
<td>288</td>
<td>22nd</td>
<td>2nd</td>
</tr>
<tr>
<th>2</th>
<td>2004</td>
<td>lister racing</td>
<td>john nielsen jens møller</td>
<td>lister storm lmp-chevrolet</td>
<td>lmp1</td>
<td>279</td>
<td>24th</td>
<td>9th</td>
</tr>
<tr>
<th>3</th>
<td>2006</td>
<td>zytek engineering team essex invest</td>
<td>john nielsen philip andersen</td>
<td>zytek 06s</td>
<td>lmp1</td>
<td>269</td>
<td>nc</td>
<td>nc</td>
</tr>
<tr>
<th>4</th>
<td>2007</td>
<td>aston martin racing larbre</td>
<td>christophe bouchut fabrizio gollin</td>
<td>aston martin dbr9</td>
<td>gt1</td>
<td>341</td>
<td>7th</td>
<td>3rd</td>
</tr>
<tr>
<th>5</th>
<td>2008</td>
<td>team essex</td>
<td>john nielsen sascha maassen</td>
<td>porsche rs spyder evo</td>
<td>lmp2</td>
<td>347</td>
<td>12th</td>
<td>2nd</td>
</tr>
<tr>
<th>6</th>
<td>2009</td>
<td>team essex</td>
<td>kristian poulsen emmanuel collard</td>
<td>porsche rs spyder evo</td>
<td>lmp2</td>
<td>357</td>
<td>10th</td>
<td>1st</td>
</tr>
<tr>
<th>7</th>
<td>2011</td>
<td>hope racing</td>
<td>steve zacchia jan lammers</td>
<td>oreca 01-swiss hytech</td>
<td>lmp1</td>
<td>115</td>
<td>dnf</td>
<td>dnf</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>class</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>lmp1</td>
</tr>
</tbody>
</table> | select class where pos. = 'dnf' order by year desc limit 1 <table_name> : table | | year | team | co-drivers | car | class | laps | pos. | class pos. |
|---:|-------:|:------------------------------------|:-----------------------------------|:---------------------------|:--------|-------:|:-------|:-------------|
| 0 | 2001 | team den bla avis team goh | john nielsen hiroki katoh | dome s101-judd | lmp900 | 66 | dnf | dnf |
| 1 | 2003 | rn motorsport | john nielsen hayanari shimoda | dba4 03s-zytek | lmp675 | 288 | 22nd | 2nd |
| 2 | 2004 | lister racing | john nielsen jens møller | lister storm lmp-chevrolet | lmp1 | 279 | 24th | 9th |
| 3 | 2006 | zytek engineering team essex invest | john nielsen philip andersen | zytek 06s | lmp1 | 269 | nc | nc |
| 4 | 2007 | aston martin racing larbre | christophe bouchut fabrizio gollin | aston martin dbr9 | gt1 | 341 | 7th | 3rd |
| 5 | 2008 | team essex | john nielsen sascha maassen | porsche rs spyder evo | lmp2 | 347 | 12th | 2nd |
| 6 | 2009 | team essex | kristian poulsen emmanuel collard | porsche rs spyder evo | lmp2 | 357 | 10th | 1st |
| 7 | 2011 | hope racing | steve zacchia jan lammers | oreca 01-swiss hytech | lmp1 | 115 | dnf | dnf | | | | class |
|---:|:--------|
| 0 | lmp1 | | [
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select visitor where visitor = 'toronto' col : # | date | visitor | score | home | record | pts row 1 : 1 | december 27 | toronto | 7-1 | montreal canadiens | 1-0-0 | 2 row 2 : 2 | december 30 | quebec bulldogs | 5-8 | toronto | 2-0-0 | 4 row 3 : 3 | january 3 | toronto 228th battalion | 4-9 | toronto | 2-1-0 | 4 row 4 : 4 | january 6 | toronto | 2-3 | ottawa senators | 2-2-0 | 4 row 5 : 5 | january 10 | montreal wanderers | 4-9 | toronto | 3-2-0 | 6 row 6 : 6 | january 13 | montreal canadiens | 6-2 | toronto | 3-3-0 | 6 row 7 : 7 | january 17 | toronto | 5-1 | quebec bulldogs | 4-3-0 | 8 row 8 : 8 | january 20 | toronto | 6-8 | toronto 228th battalion | 4-4-0 | 8 row 9 : 9 | january 24 | ottawa senators | 5-8 | toronto | 5-4-0 | 10 row 10 : 10 | january 27 | toronto | 3-8 | montreal wanderers | 5-5-0 | 10 | col : visitor row 1 : toronto row 2 : toronto row 3 : toronto row 4 : toronto row 5 : toronto | select visitor where visitor = 'toronto' <table_name> : table \begin{tabular}{llllllll}
\toprule
& # & date & visitor & score & home & record & pts \\
\midrule
0 & 1 & december 27 & toronto & 7-1 & montreal canadiens & 1-0-0 & 2 \\
1 & 2 & december 30 & quebec bulldogs & 5-8 & toronto & 2-0-0 & 4 \\
2 & 3 & january 3 & toronto 228th battalion & 4-9 & toronto & 2-1-0 & 4 \\
3 & 4 & january 6 & toronto & 2-3 & ottawa senators & 2-2-0 & 4 \\
4 & 5 & january 10 & montreal wanderers & 4-9 & toronto & 3-2-0 & 6 \\
5 & 6 & january 13 & montreal canadiens & 6-2 & toronto & 3-3-0 & 6 \\
6 & 7 & january 17 & toronto & 5-1 & quebec bulldogs & 4-3-0 & 8 \\
7 & 8 & january 20 & toronto & 6-8 & toronto 228th battalion & 4-4-0 & 8 \\
8 & 9 & january 24 & ottawa senators & 5-8 & toronto & 5-4-0 & 10 \\
9 & 10 & january 27 & toronto & 3-8 & montreal wanderers & 5-5-0 & 10 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& visitor \\
\midrule
0 & toronto \\
1 & toronto \\
2 & toronto \\
3 & toronto \\
4 & toronto \\
\bottomrule
\end{tabular}
| select visitor where visitor = 'toronto' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>#</th>
<th>date</th>
<th>visitor</th>
<th>score</th>
<th>home</th>
<th>record</th>
<th>pts</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>december 27</td>
<td>toronto</td>
<td>7-1</td>
<td>montreal canadiens</td>
<td>1-0-0</td>
<td>2</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>december 30</td>
<td>quebec bulldogs</td>
<td>5-8</td>
<td>toronto</td>
<td>2-0-0</td>
<td>4</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>january 3</td>
<td>toronto 228th battalion</td>
<td>4-9</td>
<td>toronto</td>
<td>2-1-0</td>
<td>4</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>january 6</td>
<td>toronto</td>
<td>2-3</td>
<td>ottawa senators</td>
<td>2-2-0</td>
<td>4</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>january 10</td>
<td>montreal wanderers</td>
<td>4-9</td>
<td>toronto</td>
<td>3-2-0</td>
<td>6</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>january 13</td>
<td>montreal canadiens</td>
<td>6-2</td>
<td>toronto</td>
<td>3-3-0</td>
<td>6</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>january 17</td>
<td>toronto</td>
<td>5-1</td>
<td>quebec bulldogs</td>
<td>4-3-0</td>
<td>8</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>january 20</td>
<td>toronto</td>
<td>6-8</td>
<td>toronto 228th battalion</td>
<td>4-4-0</td>
<td>8</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>january 24</td>
<td>ottawa senators</td>
<td>5-8</td>
<td>toronto</td>
<td>5-4-0</td>
<td>10</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>january 27</td>
<td>toronto</td>
<td>3-8</td>
<td>montreal wanderers</td>
<td>5-5-0</td>
<td>10</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>visitor</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>toronto</td>
</tr>
<tr>
<th>1</th>
<td>toronto</td>
</tr>
<tr>
<th>2</th>
<td>toronto</td>
</tr>
<tr>
<th>3</th>
<td>toronto</td>
</tr>
<tr>
<th>4</th>
<td>toronto</td>
</tr>
</tbody>
</table> | select visitor where visitor = 'toronto' <table_name> : table | | # | date | visitor | score | home | record | pts |
|---:|----:|:------------|:------------------------|:--------|:------------------------|:---------|------:|
| 0 | 1 | december 27 | toronto | 7-1 | montreal canadiens | 1-0-0 | 2 |
| 1 | 2 | december 30 | quebec bulldogs | 5-8 | toronto | 2-0-0 | 4 |
| 2 | 3 | january 3 | toronto 228th battalion | 4-9 | toronto | 2-1-0 | 4 |
| 3 | 4 | january 6 | toronto | 2-3 | ottawa senators | 2-2-0 | 4 |
| 4 | 5 | january 10 | montreal wanderers | 4-9 | toronto | 3-2-0 | 6 |
| 5 | 6 | january 13 | montreal canadiens | 6-2 | toronto | 3-3-0 | 6 |
| 6 | 7 | january 17 | toronto | 5-1 | quebec bulldogs | 4-3-0 | 8 |
| 7 | 8 | january 20 | toronto | 6-8 | toronto 228th battalion | 4-4-0 | 8 |
| 8 | 9 | january 24 | ottawa senators | 5-8 | toronto | 5-4-0 | 10 |
| 9 | 10 | january 27 | toronto | 3-8 | montreal wanderers | 5-5-0 | 10 | | | | visitor |
|---:|:----------|
| 0 | toronto |
| 1 | toronto |
| 2 | toronto |
| 3 | toronto |
| 4 | toronto | | [
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select nation where nation = 'france (fra)' col : rank | nation | gold | silver | bronze | total row 1 : 1 | russia (rus) | 3 | 1 | 1 | 5 row 2 : 2 | canada (can) | 2 | 0 | 0 | 2 row 3 : 3 | germany (ger) | 1 | 3 | 2 | 6 row 4 : 4 | france (fra) | 0 | 1 | 2 | 3 row 5 : 5 | belarus (blr) | 0 | 1 | 0 | 1 row 6 : 6 | ukraine (ukr) | 0 | 0 | 1 | 1 row 7 : none | total | 6 | 6 | 6 | 18 | col : nation row 1 : france (fra) | select nation where nation = 'france (fra)' <table_name> : table \begin{tabular}{lllllll}
\toprule
& rank & nation & gold & silver & bronze & total \\
\midrule
0 & 1 & russia (rus) & 3 & 1 & 1 & 5 \\
1 & 2 & canada (can) & 2 & 0 & 0 & 2 \\
2 & 3 & germany (ger) & 1 & 3 & 2 & 6 \\
3 & 4 & france (fra) & 0 & 1 & 2 & 3 \\
4 & 5 & belarus (blr) & 0 & 1 & 0 & 1 \\
5 & 6 & ukraine (ukr) & 0 & 0 & 1 & 1 \\
6 & none & total & 6 & 6 & 6 & 18 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& nation \\
\midrule
0 & france (fra) \\
\bottomrule
\end{tabular}
| select nation where nation = 'france (fra)' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>nation</th>
<th>gold</th>
<th>silver</th>
<th>bronze</th>
<th>total</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>russia (rus)</td>
<td>3</td>
<td>1</td>
<td>1</td>
<td>5</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>canada (can)</td>
<td>2</td>
<td>0</td>
<td>0</td>
<td>2</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>germany (ger)</td>
<td>1</td>
<td>3</td>
<td>2</td>
<td>6</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>france (fra)</td>
<td>0</td>
<td>1</td>
<td>2</td>
<td>3</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>belarus (blr)</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>ukraine (ukr)</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>6</th>
<td>none</td>
<td>total</td>
<td>6</td>
<td>6</td>
<td>6</td>
<td>18</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>nation</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>france (fra)</td>
</tr>
</tbody>
</table> | select nation where nation = 'france (fra)' <table_name> : table | | rank | nation | gold | silver | bronze | total |
|---:|:-------|:--------------|-------:|---------:|---------:|--------:|
| 0 | 1 | russia (rus) | 3 | 1 | 1 | 5 |
| 1 | 2 | canada (can) | 2 | 0 | 0 | 2 |
| 2 | 3 | germany (ger) | 1 | 3 | 2 | 6 |
| 3 | 4 | france (fra) | 0 | 1 | 2 | 3 |
| 4 | 5 | belarus (blr) | 0 | 1 | 0 | 1 |
| 5 | 6 | ukraine (ukr) | 0 | 0 | 1 | 1 |
| 6 | none | total | 6 | 6 | 6 | 18 | | | | nation |
|---:|:-------------|
| 0 | france (fra) | | [
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select club(s) where name = 'ismailia' col : nr. | name | area (km2) | population (2006) | capital | club(s) row 1 : 1 | alexandria | 2900 | 4110015 | alexandria | al itthad al sakandary - el-olympi - haras el hodood row 2 : 2 | asyut | 25926 | 3441597 | asyut | petrol asyout row 3 : 3 | cairo | 3435 | 7786640 | cairo | al-ahly - al mokawloon - enppi - el-jaish - el-shorta - itesalat row 4 : 4 | gharbia | 25400 | 3790670 | tanta | ghazl el-mehalla row 5 : 5 | giza | 85153 | 6272571 | giza | zamalek- tersana row 6 : 6 | ismailia | 1442 | 942832 | ismailia | ismaily row 7 : 7 | port said | 72 | 570768 | port said | al masry row 8 : 6 | suez | 17840 | 510935 | suez | petrojet | col : club(s) row 1 : ismaily | select club(s) where name = 'ismailia' <table_name> : table \begin{tabular}{lllllll}
\toprule
& nr. & name & area (km2) & population (2006) & capital & club(s) \\
\midrule
0 & 1 & alexandria & 2900 & 4110015 & alexandria & al itthad al sakandary - el-olympi - haras el hodood \\
1 & 2 & asyut & 25926 & 3441597 & asyut & petrol asyout \\
2 & 3 & cairo & 3435 & 7786640 & cairo & al-ahly - al mokawloon - enppi - el-jaish - el-shorta - itesalat \\
3 & 4 & gharbia & 25400 & 3790670 & tanta & ghazl el-mehalla \\
4 & 5 & giza & 85153 & 6272571 & giza & zamalek- tersana \\
5 & 6 & ismailia & 1442 & 942832 & ismailia & ismaily \\
6 & 7 & port said & 72 & 570768 & port said & al masry \\
7 & 6 & suez & 17840 & 510935 & suez & petrojet \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& club(s) \\
\midrule
0 & ismaily \\
\bottomrule
\end{tabular}
| select club(s) where name = 'ismailia' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>nr.</th>
<th>name</th>
<th>area (km2)</th>
<th>population (2006)</th>
<th>capital</th>
<th>club(s)</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>alexandria</td>
<td>2900</td>
<td>4110015</td>
<td>alexandria</td>
<td>al itthad al sakandary - el-olympi - haras el hodood</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>asyut</td>
<td>25926</td>
<td>3441597</td>
<td>asyut</td>
<td>petrol asyout</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>cairo</td>
<td>3435</td>
<td>7786640</td>
<td>cairo</td>
<td>al-ahly - al mokawloon - enppi - el-jaish - el-shorta - itesalat</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>gharbia</td>
<td>25400</td>
<td>3790670</td>
<td>tanta</td>
<td>ghazl el-mehalla</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>giza</td>
<td>85153</td>
<td>6272571</td>
<td>giza</td>
<td>zamalek- tersana</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>ismailia</td>
<td>1442</td>
<td>942832</td>
<td>ismailia</td>
<td>ismaily</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>port said</td>
<td>72</td>
<td>570768</td>
<td>port said</td>
<td>al masry</td>
</tr>
<tr>
<th>7</th>
<td>6</td>
<td>suez</td>
<td>17840</td>
<td>510935</td>
<td>suez</td>
<td>petrojet</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>club(s)</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>ismaily</td>
</tr>
</tbody>
</table> | select club(s) where name = 'ismailia' <table_name> : table | | nr. | name | area (km2) | population (2006) | capital | club(s) |
|---:|------:|:-----------|-------------:|--------------------:|:-----------|:-----------------------------------------------------------------|
| 0 | 1 | alexandria | 2900 | 4110015 | alexandria | al itthad al sakandary - el-olympi - haras el hodood |
| 1 | 2 | asyut | 25926 | 3441597 | asyut | petrol asyout |
| 2 | 3 | cairo | 3435 | 7786640 | cairo | al-ahly - al mokawloon - enppi - el-jaish - el-shorta - itesalat |
| 3 | 4 | gharbia | 25400 | 3790670 | tanta | ghazl el-mehalla |
| 4 | 5 | giza | 85153 | 6272571 | giza | zamalek- tersana |
| 5 | 6 | ismailia | 1442 | 942832 | ismailia | ismaily |
| 6 | 7 | port said | 72 | 570768 | port said | al masry |
| 7 | 6 | suez | 17840 | 510935 | suez | petrojet | | | | club(s) |
|---:|:----------|
| 0 | ismaily | | [
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] |
select count ( year ) where year = 0 col : year | film | role | language row 1 : 2004 | 7g rainbow colony | kadhir | tamil row 2 : 2005 | sukran | ravi shankar | tamil row 3 : 2005 | ponniyin selvan | venu | tamil row 4 : 2006 | kedi | raghu | tamil row 5 : 2008 | brahmanandam drama company | ravi | telugu row 6 : 2008 | netru indru naalai | vetri | tamil row 7 : 2008 | ninna nedu repu | vijay | telugu row 8 : 2009 | kadhalna summa illai | vetrivel | tamil row 9 : 2011 | aaranya kaandam | sappai | tamil | col : count ( "year" ) row 1 : 0 | select count ( year ) where year = 0 <table_name> : table \begin{tabular}{lllll}
\toprule
& year & film & role & language \\
\midrule
0 & 2004 & 7g rainbow colony & kadhir & tamil \\
1 & 2005 & sukran & ravi shankar & tamil \\
2 & 2005 & ponniyin selvan & venu & tamil \\
3 & 2006 & kedi & raghu & tamil \\
4 & 2008 & brahmanandam drama company & ravi & telugu \\
5 & 2008 & netru indru naalai & vetri & tamil \\
6 & 2008 & ninna nedu repu & vijay & telugu \\
7 & 2009 & kadhalna summa illai & vetrivel & tamil \\
8 & 2011 & aaranya kaandam & sappai & tamil \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "year" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( year ) where year = 0 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>film</th>
<th>role</th>
<th>language</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2004</td>
<td>7g rainbow colony</td>
<td>kadhir</td>
<td>tamil</td>
</tr>
<tr>
<th>1</th>
<td>2005</td>
<td>sukran</td>
<td>ravi shankar</td>
<td>tamil</td>
</tr>
<tr>
<th>2</th>
<td>2005</td>
<td>ponniyin selvan</td>
<td>venu</td>
<td>tamil</td>
</tr>
<tr>
<th>3</th>
<td>2006</td>
<td>kedi</td>
<td>raghu</td>
<td>tamil</td>
</tr>
<tr>
<th>4</th>
<td>2008</td>
<td>brahmanandam drama company</td>
<td>ravi</td>
<td>telugu</td>
</tr>
<tr>
<th>5</th>
<td>2008</td>
<td>netru indru naalai</td>
<td>vetri</td>
<td>tamil</td>
</tr>
<tr>
<th>6</th>
<td>2008</td>
<td>ninna nedu repu</td>
<td>vijay</td>
<td>telugu</td>
</tr>
<tr>
<th>7</th>
<td>2009</td>
<td>kadhalna summa illai</td>
<td>vetrivel</td>
<td>tamil</td>
</tr>
<tr>
<th>8</th>
<td>2011</td>
<td>aaranya kaandam</td>
<td>sappai</td>
<td>tamil</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "year" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select count ( year ) where year = 0 <table_name> : table | | year | film | role | language |
|---:|-------:|:---------------------------|:-------------|:-----------|
| 0 | 2004 | 7g rainbow colony | kadhir | tamil |
| 1 | 2005 | sukran | ravi shankar | tamil |
| 2 | 2005 | ponniyin selvan | venu | tamil |
| 3 | 2006 | kedi | raghu | tamil |
| 4 | 2008 | brahmanandam drama company | ravi | telugu |
| 5 | 2008 | netru indru naalai | vetri | tamil |
| 6 | 2008 | ninna nedu repu | vijay | telugu |
| 7 | 2009 | kadhalna summa illai | vetrivel | tamil |
| 8 | 2011 | aaranya kaandam | sappai | tamil | | | | count ( "year" ) |
|---:|-------------------:|
| 0 | 0 | | [
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select count ( city ) where building = 'commerce court west' col : years | building | city | height (ctbuh) | floors row 1 : 1975-present | first canadian place | toronto | 298.1 m (978 ft) (355 m (1,165 ft) tip) | 72 row 2 : 1972-1975 | commerce court west | toronto | 239.0 m (784 ft) (287.0 m (942 ft) tip) | 57 row 3 : 1967-1972 | toronto-dominion centre | toronto | 222.8 m (731 ft) | 56 row 4 : 1964-1967 | tour de la bourse | montreal | 190.0 m (623 ft) | 47 row 5 : 1962-1964 | place ville-marie | montreal | 188.0 m (617 ft) | 44 row 6 : 1962 | tour cibc | montreal | 184.0 m (604 ft) (225.6 m (740 ft) tip) | 45 row 7 : 1931-1962 | commerce court north | toronto | 145.0 m (476 ft) | 34 | col : count ( "city" ) row 1 : 1 | select count ( city ) where building = 'commerce court west' <table_name> : table \begin{tabular}{llllll}
\toprule
& years & building & city & height (ctbuh) & floors \\
\midrule
0 & 1975-present & first canadian place & toronto & 298.1 m (978 ft) (355 m (1,165 ft) tip) & 72 \\
1 & 1972-1975 & commerce court west & toronto & 239.0 m (784 ft) (287.0 m (942 ft) tip) & 57 \\
2 & 1967-1972 & toronto-dominion centre & toronto & 222.8 m (731 ft) & 56 \\
3 & 1964-1967 & tour de la bourse & montreal & 190.0 m (623 ft) & 47 \\
4 & 1962-1964 & place ville-marie & montreal & 188.0 m (617 ft) & 44 \\
5 & 1962 & tour cibc & montreal & 184.0 m (604 ft) (225.6 m (740 ft) tip) & 45 \\
6 & 1931-1962 & commerce court north & toronto & 145.0 m (476 ft) & 34 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "city" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( city ) where building = 'commerce court west' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>years</th>
<th>building</th>
<th>city</th>
<th>height (ctbuh)</th>
<th>floors</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1975-present</td>
<td>first canadian place</td>
<td>toronto</td>
<td>298.1 m (978 ft) (355 m (1,165 ft) tip)</td>
<td>72</td>
</tr>
<tr>
<th>1</th>
<td>1972-1975</td>
<td>commerce court west</td>
<td>toronto</td>
<td>239.0 m (784 ft) (287.0 m (942 ft) tip)</td>
<td>57</td>
</tr>
<tr>
<th>2</th>
<td>1967-1972</td>
<td>toronto-dominion centre</td>
<td>toronto</td>
<td>222.8 m (731 ft)</td>
<td>56</td>
</tr>
<tr>
<th>3</th>
<td>1964-1967</td>
<td>tour de la bourse</td>
<td>montreal</td>
<td>190.0 m (623 ft)</td>
<td>47</td>
</tr>
<tr>
<th>4</th>
<td>1962-1964</td>
<td>place ville-marie</td>
<td>montreal</td>
<td>188.0 m (617 ft)</td>
<td>44</td>
</tr>
<tr>
<th>5</th>
<td>1962</td>
<td>tour cibc</td>
<td>montreal</td>
<td>184.0 m (604 ft) (225.6 m (740 ft) tip)</td>
<td>45</td>
</tr>
<tr>
<th>6</th>
<td>1931-1962</td>
<td>commerce court north</td>
<td>toronto</td>
<td>145.0 m (476 ft)</td>
<td>34</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "city" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( city ) where building = 'commerce court west' <table_name> : table | | years | building | city | height (ctbuh) | floors |
|---:|:-------------|:------------------------|:---------|:----------------------------------------|---------:|
| 0 | 1975-present | first canadian place | toronto | 298.1 m (978 ft) (355 m (1,165 ft) tip) | 72 |
| 1 | 1972-1975 | commerce court west | toronto | 239.0 m (784 ft) (287.0 m (942 ft) tip) | 57 |
| 2 | 1967-1972 | toronto-dominion centre | toronto | 222.8 m (731 ft) | 56 |
| 3 | 1964-1967 | tour de la bourse | montreal | 190.0 m (623 ft) | 47 |
| 4 | 1962-1964 | place ville-marie | montreal | 188.0 m (617 ft) | 44 |
| 5 | 1962 | tour cibc | montreal | 184.0 m (604 ft) (225.6 m (740 ft) tip) | 45 |
| 6 | 1931-1962 | commerce court north | toronto | 145.0 m (476 ft) | 34 | | | | count ( "city" ) |
|---:|-------------------:|
| 0 | 1 | | [
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select count ( athlete(s) ) where date = '26 february 2010' col : event | record | athlete(s) | date | time (s) row 1 : bobsleigh - two-man | start | beat hefti & thomas lamparter (sui) | 6 february 2009 | 4.7 row 2 : bobsleigh - two-man | track | thomas florschutz & richard adjei (ger) andre lange & kevin kuske (ger) | 20 february 2010 21 february 2010 | 51.57 row 3 : bobsleigh - four-man | start | andre lange, kevin kuske, alexander rodiger, & martin putze (ger) | 26 february 2010 | 4.7 row 4 : bobsleigh - four-man | track | steve holcomb, justin olsen, steve mesler, & curtis tomasevicz (usa) | 26 february 2010 | 50.86 row 5 : bobsleigh - two-woman | start | kaillie humphries & heather moyse (can) | 23 february 2010 24 february 2010 | 5.11 row 6 : bobsleigh - two-woman | track | kaillie humphries & heather moyse (can) | 24 february 2010 | 52.85 row 7 : men's skeleton | start | alexander tretiakov (rus) | 18 february 2010 | 4.48 row 8 : men's skeleton | track | jon montgomery (can) | 19 february 2010 | 52.2 row 9 : women's skeleton | start | anja huber (ger) | 18 february 2010 | 4.9 row 10 : women's skeleton | track | amy williams (gbr) | 19 february 2010 | 53.68 row 11 : luge - men's singles | start | andi langenhan (ger) | 21 february 2009 | 3.541 row 12 : luge - men's singles | track | felix loch (ger) | 21 february 2009 | 46.808 row 13 : luge - women's singles | start | natalie geisenberger (ger) | 20 february 2009 | 7.183 row 14 : luge - women's singles | track | natalie geisenberger (ger) | 20 february 2009 | 48.992 row 15 : luge - men's doubles | start | tobias wendl & tobias arlt (ger) | 20 february 2009 | 7.054 row 16 : luge - men's doubles | track | patric leitner & alexander resch (ger) | 20 february 2009 | 48.608 | col : count ( "athlete(s" ) row 1 : 2 | select count ( athlete(s) ) where date = '26 february 2010' <table_name> : table \begin{tabular}{llllll}
\toprule
& event & record & athlete(s) & date & time (s) \\
\midrule
0 & bobsleigh - two-man & start & beat hefti & thomas lamparter (sui) & 6 february 2009 & 4.7 \\
1 & bobsleigh - two-man & track & thomas florschutz & richard adjei (ger) andre lange & kevin kuske (ger) & 20 february 2010 21 february 2010 & 51.57 \\
2 & bobsleigh - four-man & start & andre lange, kevin kuske, alexander rodiger, & martin putze (ger) & 26 february 2010 & 4.7 \\
3 & bobsleigh - four-man & track & steve holcomb, justin olsen, steve mesler, & curtis tomasevicz (usa) & 26 february 2010 & 50.86 \\
4 & bobsleigh - two-woman & start & kaillie humphries & heather moyse (can) & 23 february 2010 24 february 2010 & 5.11 \\
5 & bobsleigh - two-woman & track & kaillie humphries & heather moyse (can) & 24 february 2010 & 52.85 \\
6 & men's skeleton & start & alexander tretiakov (rus) & 18 february 2010 & 4.48 \\
7 & men's skeleton & track & jon montgomery (can) & 19 february 2010 & 52.2 \\
8 & women's skeleton & start & anja huber (ger) & 18 february 2010 & 4.9 \\
9 & women's skeleton & track & amy williams (gbr) & 19 february 2010 & 53.68 \\
10 & luge - men's singles & start & andi langenhan (ger) & 21 february 2009 & 3.541 \\
11 & luge - men's singles & track & felix loch (ger) & 21 february 2009 & 46.808 \\
12 & luge - women's singles & start & natalie geisenberger (ger) & 20 february 2009 & 7.183 \\
13 & luge - women's singles & track & natalie geisenberger (ger) & 20 february 2009 & 48.992 \\
14 & luge - men's doubles & start & tobias wendl & tobias arlt (ger) & 20 february 2009 & 7.054 \\
15 & luge - men's doubles & track & patric leitner & alexander resch (ger) & 20 february 2009 & 48.608 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "athlete(s" ) \\
\midrule
0 & 2 \\
\bottomrule
\end{tabular}
| select count ( athlete(s) ) where date = '26 february 2010' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>event</th>
<th>record</th>
<th>athlete(s)</th>
<th>date</th>
<th>time (s)</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>bobsleigh - two-man</td>
<td>start</td>
<td>beat hefti & thomas lamparter (sui)</td>
<td>6 february 2009</td>
<td>4.7</td>
</tr>
<tr>
<th>1</th>
<td>bobsleigh - two-man</td>
<td>track</td>
<td>thomas florschutz & richard adjei (ger) andre lange & kevin kuske (ger)</td>
<td>20 february 2010 21 february 2010</td>
<td>51.57</td>
</tr>
<tr>
<th>2</th>
<td>bobsleigh - four-man</td>
<td>start</td>
<td>andre lange, kevin kuske, alexander rodiger, & martin putze (ger)</td>
<td>26 february 2010</td>
<td>4.7</td>
</tr>
<tr>
<th>3</th>
<td>bobsleigh - four-man</td>
<td>track</td>
<td>steve holcomb, justin olsen, steve mesler, & curtis tomasevicz (usa)</td>
<td>26 february 2010</td>
<td>50.86</td>
</tr>
<tr>
<th>4</th>
<td>bobsleigh - two-woman</td>
<td>start</td>
<td>kaillie humphries & heather moyse (can)</td>
<td>23 february 2010 24 february 2010</td>
<td>5.11</td>
</tr>
<tr>
<th>5</th>
<td>bobsleigh - two-woman</td>
<td>track</td>
<td>kaillie humphries & heather moyse (can)</td>
<td>24 february 2010</td>
<td>52.85</td>
</tr>
<tr>
<th>6</th>
<td>men's skeleton</td>
<td>start</td>
<td>alexander tretiakov (rus)</td>
<td>18 february 2010</td>
<td>4.48</td>
</tr>
<tr>
<th>7</th>
<td>men's skeleton</td>
<td>track</td>
<td>jon montgomery (can)</td>
<td>19 february 2010</td>
<td>52.2</td>
</tr>
<tr>
<th>8</th>
<td>women's skeleton</td>
<td>start</td>
<td>anja huber (ger)</td>
<td>18 february 2010</td>
<td>4.9</td>
</tr>
<tr>
<th>9</th>
<td>women's skeleton</td>
<td>track</td>
<td>amy williams (gbr)</td>
<td>19 february 2010</td>
<td>53.68</td>
</tr>
<tr>
<th>10</th>
<td>luge - men's singles</td>
<td>start</td>
<td>andi langenhan (ger)</td>
<td>21 february 2009</td>
<td>3.541</td>
</tr>
<tr>
<th>11</th>
<td>luge - men's singles</td>
<td>track</td>
<td>felix loch (ger)</td>
<td>21 february 2009</td>
<td>46.808</td>
</tr>
<tr>
<th>12</th>
<td>luge - women's singles</td>
<td>start</td>
<td>natalie geisenberger (ger)</td>
<td>20 february 2009</td>
<td>7.183</td>
</tr>
<tr>
<th>13</th>
<td>luge - women's singles</td>
<td>track</td>
<td>natalie geisenberger (ger)</td>
<td>20 february 2009</td>
<td>48.992</td>
</tr>
<tr>
<th>14</th>
<td>luge - men's doubles</td>
<td>start</td>
<td>tobias wendl & tobias arlt (ger)</td>
<td>20 february 2009</td>
<td>7.054</td>
</tr>
<tr>
<th>15</th>
<td>luge - men's doubles</td>
<td>track</td>
<td>patric leitner & alexander resch (ger)</td>
<td>20 february 2009</td>
<td>48.608</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "athlete(s" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2</td>
</tr>
</tbody>
</table> | select count ( athlete(s) ) where date = '26 february 2010' <table_name> : table | | event | record | athlete(s) | date | time (s) |
|---:|:-----------------------|:---------|:------------------------------------------------------------------------|:----------------------------------|-----------:|
| 0 | bobsleigh - two-man | start | beat hefti & thomas lamparter (sui) | 6 february 2009 | 4.7 |
| 1 | bobsleigh - two-man | track | thomas florschutz & richard adjei (ger) andre lange & kevin kuske (ger) | 20 february 2010 21 february 2010 | 51.57 |
| 2 | bobsleigh - four-man | start | andre lange, kevin kuske, alexander rodiger, & martin putze (ger) | 26 february 2010 | 4.7 |
| 3 | bobsleigh - four-man | track | steve holcomb, justin olsen, steve mesler, & curtis tomasevicz (usa) | 26 february 2010 | 50.86 |
| 4 | bobsleigh - two-woman | start | kaillie humphries & heather moyse (can) | 23 february 2010 24 february 2010 | 5.11 |
| 5 | bobsleigh - two-woman | track | kaillie humphries & heather moyse (can) | 24 february 2010 | 52.85 |
| 6 | men's skeleton | start | alexander tretiakov (rus) | 18 february 2010 | 4.48 |
| 7 | men's skeleton | track | jon montgomery (can) | 19 february 2010 | 52.2 |
| 8 | women's skeleton | start | anja huber (ger) | 18 february 2010 | 4.9 |
| 9 | women's skeleton | track | amy williams (gbr) | 19 february 2010 | 53.68 |
| 10 | luge - men's singles | start | andi langenhan (ger) | 21 february 2009 | 3.541 |
| 11 | luge - men's singles | track | felix loch (ger) | 21 february 2009 | 46.808 |
| 12 | luge - women's singles | start | natalie geisenberger (ger) | 20 february 2009 | 7.183 |
| 13 | luge - women's singles | track | natalie geisenberger (ger) | 20 february 2009 | 48.992 |
| 14 | luge - men's doubles | start | tobias wendl & tobias arlt (ger) | 20 february 2009 | 7.054 |
| 15 | luge - men's doubles | track | patric leitner & alexander resch (ger) | 20 february 2009 | 48.608 | | | | count ( "athlete(s" ) |
|---:|------------------------:|
| 0 | 2 | | [
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select partner where no. = 8 col : outcome | no. | date | tournament | surface | partner | opponents | score row 1 : winner | 1 | 2004-04-18 00:00:00 | jackson, united states | clay | alisa kleybanova | cory ann avants kristen schlukebir | 6-2, 6-3 row 2 : runner-up | 1 | 2004-09-26 00:00:00 | albuquerque, united states | hard | maria emilia salerni | maureen drake carly gullickson | 3-6, 6-7(6-8) row 3 : winner | 2 | 2005-03-27 00:00:00 | redding, united states | hard | yulia beygelzimer | leanne baker francesca lubiani | 6-4, 6-7(1-7), 6-3 row 4 : runner-up | 2 | 2005-05-08 00:00:00 | raleigh, united states | clay | maria fernanda alves | ashley harkleroad lindsay lee-waters | 2-6, 6-0, 3-6 row 5 : runner-up | 3 | 2006-03-19 00:00:00 | orange, united states | hard | lilia osterloh | kateryna bondarenko alona bondarenko | 2-6, 4-6 row 6 : winner | 3 | 2006-11-12 00:00:00 | pittsburgh, united states | hard (i) | alisa kleybanova | ashley harkleroad galina voskoboeva | 6-4, 5-7, 6-1 row 7 : runner-up | 4 | 2007-02-11 00:00:00 | midland, united states | hard (i) | maureen drake | laura granville abigail spears | 4-6, 6-3, 3-6 row 8 : runner-up | 5 | 2007-07-07 00:00:00 | southlake, united states | hard | valerie tetreault | surina de beer kim grant | 6-4, 4-6, 4-6 row 9 : winner | 4 | 2007-07-22 00:00:00 | hamilton, canada | clay | surina de beer | michaela johansson paula zabala | walkover row 10 : winner | 5 | 2007-08-04 00:00:00 | vancouver, canada | hard | marie-eve pelletier | soledad esperon agustina lepore | 6-4, 6-4 row 11 : winner | 6 | 2007-10-21 00:00:00 | lawrenceville, united states | hard | alisa kleybanova | leanne baker julie ditty | 6-2, 6-0 row 12 : winner | 7 | 2007-11-12 00:00:00 | pittsburgh, united states | hard (i) | alisa kleybanova | raquel kops-jones abigail spears | 6-4, 4-6, [10-6] row 13 : runner-up | 6 | 2008-04-27 00:00:00 | dothan, united states | clay | maria fernanda alves | tetiana luzhanska michaela pastikova | 1-6, 3-6 row 14 : winner | 8 | 2008-10-18 00:00:00 | toronto, canada | hard (i) | marie-eve pelletier | nikola frankova carmen klaschka | 6-4, 6-2 row 15 : runner-up | 7 | 2009-09-27 00:00:00 | saguenay, canada | hard (i) | rebecca marino | sofia arvidsson severine bremond beltrame | 3-6, 1-6 row 16 : runner-up | 8 | 2013-04-13 00:00:00 | poza rica, mexico | hard | olga savchuk | maria fernanda alvarez teran maria fernanda alves | 2-6, 3-6 row 17 : runner-up | 9 | 2013-05-18 00:00:00 | saint-gaudens, france | clay | kurumi nara | julia glushko paula ormaechea | 5-7, 6-7(11-13) | col : partner row 1 : marie-eve pelletier row 2 : olga savchuk | select partner where no. = 8 <table_name> : table \begin{tabular}{lllllllll}
\toprule
& outcome & no. & date & tournament & surface & partner & opponents & score \\
\midrule
0 & winner & 1 & 2004-04-18 00:00:00 & jackson, united states & clay & alisa kleybanova & cory ann avants kristen schlukebir & 6-2, 6-3 \\
1 & runner-up & 1 & 2004-09-26 00:00:00 & albuquerque, united states & hard & maria emilia salerni & maureen drake carly gullickson & 3-6, 6-7(6-8) \\
2 & winner & 2 & 2005-03-27 00:00:00 & redding, united states & hard & yulia beygelzimer & leanne baker francesca lubiani & 6-4, 6-7(1-7), 6-3 \\
3 & runner-up & 2 & 2005-05-08 00:00:00 & raleigh, united states & clay & maria fernanda alves & ashley harkleroad lindsay lee-waters & 2-6, 6-0, 3-6 \\
4 & runner-up & 3 & 2006-03-19 00:00:00 & orange, united states & hard & lilia osterloh & kateryna bondarenko alona bondarenko & 2-6, 4-6 \\
5 & winner & 3 & 2006-11-12 00:00:00 & pittsburgh, united states & hard (i) & alisa kleybanova & ashley harkleroad galina voskoboeva & 6-4, 5-7, 6-1 \\
6 & runner-up & 4 & 2007-02-11 00:00:00 & midland, united states & hard (i) & maureen drake & laura granville abigail spears & 4-6, 6-3, 3-6 \\
7 & runner-up & 5 & 2007-07-07 00:00:00 & southlake, united states & hard & valerie tetreault & surina de beer kim grant & 6-4, 4-6, 4-6 \\
8 & winner & 4 & 2007-07-22 00:00:00 & hamilton, canada & clay & surina de beer & michaela johansson paula zabala & walkover \\
9 & winner & 5 & 2007-08-04 00:00:00 & vancouver, canada & hard & marie-eve pelletier & soledad esperon agustina lepore & 6-4, 6-4 \\
10 & winner & 6 & 2007-10-21 00:00:00 & lawrenceville, united states & hard & alisa kleybanova & leanne baker julie ditty & 6-2, 6-0 \\
11 & winner & 7 & 2007-11-12 00:00:00 & pittsburgh, united states & hard (i) & alisa kleybanova & raquel kops-jones abigail spears & 6-4, 4-6, [10-6] \\
12 & runner-up & 6 & 2008-04-27 00:00:00 & dothan, united states & clay & maria fernanda alves & tetiana luzhanska michaela pastikova & 1-6, 3-6 \\
13 & winner & 8 & 2008-10-18 00:00:00 & toronto, canada & hard (i) & marie-eve pelletier & nikola frankova carmen klaschka & 6-4, 6-2 \\
14 & runner-up & 7 & 2009-09-27 00:00:00 & saguenay, canada & hard (i) & rebecca marino & sofia arvidsson severine bremond beltrame & 3-6, 1-6 \\
15 & runner-up & 8 & 2013-04-13 00:00:00 & poza rica, mexico & hard & olga savchuk & maria fernanda alvarez teran maria fernanda alves & 2-6, 3-6 \\
16 & runner-up & 9 & 2013-05-18 00:00:00 & saint-gaudens, france & clay & kurumi nara & julia glushko paula ormaechea & 5-7, 6-7(11-13) \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& partner \\
\midrule
0 & marie-eve pelletier \\
1 & olga savchuk \\
\bottomrule
\end{tabular}
| select partner where no. = 8 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>outcome</th>
<th>no.</th>
<th>date</th>
<th>tournament</th>
<th>surface</th>
<th>partner</th>
<th>opponents</th>
<th>score</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>winner</td>
<td>1</td>
<td>2004-04-18 00:00:00</td>
<td>jackson, united states</td>
<td>clay</td>
<td>alisa kleybanova</td>
<td>cory ann avants kristen schlukebir</td>
<td>6-2, 6-3</td>
</tr>
<tr>
<th>1</th>
<td>runner-up</td>
<td>1</td>
<td>2004-09-26 00:00:00</td>
<td>albuquerque, united states</td>
<td>hard</td>
<td>maria emilia salerni</td>
<td>maureen drake carly gullickson</td>
<td>3-6, 6-7(6-8)</td>
</tr>
<tr>
<th>2</th>
<td>winner</td>
<td>2</td>
<td>2005-03-27 00:00:00</td>
<td>redding, united states</td>
<td>hard</td>
<td>yulia beygelzimer</td>
<td>leanne baker francesca lubiani</td>
<td>6-4, 6-7(1-7), 6-3</td>
</tr>
<tr>
<th>3</th>
<td>runner-up</td>
<td>2</td>
<td>2005-05-08 00:00:00</td>
<td>raleigh, united states</td>
<td>clay</td>
<td>maria fernanda alves</td>
<td>ashley harkleroad lindsay lee-waters</td>
<td>2-6, 6-0, 3-6</td>
</tr>
<tr>
<th>4</th>
<td>runner-up</td>
<td>3</td>
<td>2006-03-19 00:00:00</td>
<td>orange, united states</td>
<td>hard</td>
<td>lilia osterloh</td>
<td>kateryna bondarenko alona bondarenko</td>
<td>2-6, 4-6</td>
</tr>
<tr>
<th>5</th>
<td>winner</td>
<td>3</td>
<td>2006-11-12 00:00:00</td>
<td>pittsburgh, united states</td>
<td>hard (i)</td>
<td>alisa kleybanova</td>
<td>ashley harkleroad galina voskoboeva</td>
<td>6-4, 5-7, 6-1</td>
</tr>
<tr>
<th>6</th>
<td>runner-up</td>
<td>4</td>
<td>2007-02-11 00:00:00</td>
<td>midland, united states</td>
<td>hard (i)</td>
<td>maureen drake</td>
<td>laura granville abigail spears</td>
<td>4-6, 6-3, 3-6</td>
</tr>
<tr>
<th>7</th>
<td>runner-up</td>
<td>5</td>
<td>2007-07-07 00:00:00</td>
<td>southlake, united states</td>
<td>hard</td>
<td>valerie tetreault</td>
<td>surina de beer kim grant</td>
<td>6-4, 4-6, 4-6</td>
</tr>
<tr>
<th>8</th>
<td>winner</td>
<td>4</td>
<td>2007-07-22 00:00:00</td>
<td>hamilton, canada</td>
<td>clay</td>
<td>surina de beer</td>
<td>michaela johansson paula zabala</td>
<td>walkover</td>
</tr>
<tr>
<th>9</th>
<td>winner</td>
<td>5</td>
<td>2007-08-04 00:00:00</td>
<td>vancouver, canada</td>
<td>hard</td>
<td>marie-eve pelletier</td>
<td>soledad esperon agustina lepore</td>
<td>6-4, 6-4</td>
</tr>
<tr>
<th>10</th>
<td>winner</td>
<td>6</td>
<td>2007-10-21 00:00:00</td>
<td>lawrenceville, united states</td>
<td>hard</td>
<td>alisa kleybanova</td>
<td>leanne baker julie ditty</td>
<td>6-2, 6-0</td>
</tr>
<tr>
<th>11</th>
<td>winner</td>
<td>7</td>
<td>2007-11-12 00:00:00</td>
<td>pittsburgh, united states</td>
<td>hard (i)</td>
<td>alisa kleybanova</td>
<td>raquel kops-jones abigail spears</td>
<td>6-4, 4-6, [10-6]</td>
</tr>
<tr>
<th>12</th>
<td>runner-up</td>
<td>6</td>
<td>2008-04-27 00:00:00</td>
<td>dothan, united states</td>
<td>clay</td>
<td>maria fernanda alves</td>
<td>tetiana luzhanska michaela pastikova</td>
<td>1-6, 3-6</td>
</tr>
<tr>
<th>13</th>
<td>winner</td>
<td>8</td>
<td>2008-10-18 00:00:00</td>
<td>toronto, canada</td>
<td>hard (i)</td>
<td>marie-eve pelletier</td>
<td>nikola frankova carmen klaschka</td>
<td>6-4, 6-2</td>
</tr>
<tr>
<th>14</th>
<td>runner-up</td>
<td>7</td>
<td>2009-09-27 00:00:00</td>
<td>saguenay, canada</td>
<td>hard (i)</td>
<td>rebecca marino</td>
<td>sofia arvidsson severine bremond beltrame</td>
<td>3-6, 1-6</td>
</tr>
<tr>
<th>15</th>
<td>runner-up</td>
<td>8</td>
<td>2013-04-13 00:00:00</td>
<td>poza rica, mexico</td>
<td>hard</td>
<td>olga savchuk</td>
<td>maria fernanda alvarez teran maria fernanda alves</td>
<td>2-6, 3-6</td>
</tr>
<tr>
<th>16</th>
<td>runner-up</td>
<td>9</td>
<td>2013-05-18 00:00:00</td>
<td>saint-gaudens, france</td>
<td>clay</td>
<td>kurumi nara</td>
<td>julia glushko paula ormaechea</td>
<td>5-7, 6-7(11-13)</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>partner</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>marie-eve pelletier</td>
</tr>
<tr>
<th>1</th>
<td>olga savchuk</td>
</tr>
</tbody>
</table> | select partner where no. = 8 <table_name> : table | | outcome | no. | date | tournament | surface | partner | opponents | score |
|---:|:----------|------:|:--------------------|:-----------------------------|:----------|:---------------------|:--------------------------------------------------|:-------------------|
| 0 | winner | 1 | 2004-04-18 00:00:00 | jackson, united states | clay | alisa kleybanova | cory ann avants kristen schlukebir | 6-2, 6-3 |
| 1 | runner-up | 1 | 2004-09-26 00:00:00 | albuquerque, united states | hard | maria emilia salerni | maureen drake carly gullickson | 3-6, 6-7(6-8) |
| 2 | winner | 2 | 2005-03-27 00:00:00 | redding, united states | hard | yulia beygelzimer | leanne baker francesca lubiani | 6-4, 6-7(1-7), 6-3 |
| 3 | runner-up | 2 | 2005-05-08 00:00:00 | raleigh, united states | clay | maria fernanda alves | ashley harkleroad lindsay lee-waters | 2-6, 6-0, 3-6 |
| 4 | runner-up | 3 | 2006-03-19 00:00:00 | orange, united states | hard | lilia osterloh | kateryna bondarenko alona bondarenko | 2-6, 4-6 |
| 5 | winner | 3 | 2006-11-12 00:00:00 | pittsburgh, united states | hard (i) | alisa kleybanova | ashley harkleroad galina voskoboeva | 6-4, 5-7, 6-1 |
| 6 | runner-up | 4 | 2007-02-11 00:00:00 | midland, united states | hard (i) | maureen drake | laura granville abigail spears | 4-6, 6-3, 3-6 |
| 7 | runner-up | 5 | 2007-07-07 00:00:00 | southlake, united states | hard | valerie tetreault | surina de beer kim grant | 6-4, 4-6, 4-6 |
| 8 | winner | 4 | 2007-07-22 00:00:00 | hamilton, canada | clay | surina de beer | michaela johansson paula zabala | walkover |
| 9 | winner | 5 | 2007-08-04 00:00:00 | vancouver, canada | hard | marie-eve pelletier | soledad esperon agustina lepore | 6-4, 6-4 |
| 10 | winner | 6 | 2007-10-21 00:00:00 | lawrenceville, united states | hard | alisa kleybanova | leanne baker julie ditty | 6-2, 6-0 |
| 11 | winner | 7 | 2007-11-12 00:00:00 | pittsburgh, united states | hard (i) | alisa kleybanova | raquel kops-jones abigail spears | 6-4, 4-6, [10-6] |
| 12 | runner-up | 6 | 2008-04-27 00:00:00 | dothan, united states | clay | maria fernanda alves | tetiana luzhanska michaela pastikova | 1-6, 3-6 |
| 13 | winner | 8 | 2008-10-18 00:00:00 | toronto, canada | hard (i) | marie-eve pelletier | nikola frankova carmen klaschka | 6-4, 6-2 |
| 14 | runner-up | 7 | 2009-09-27 00:00:00 | saguenay, canada | hard (i) | rebecca marino | sofia arvidsson severine bremond beltrame | 3-6, 1-6 |
| 15 | runner-up | 8 | 2013-04-13 00:00:00 | poza rica, mexico | hard | olga savchuk | maria fernanda alvarez teran maria fernanda alves | 2-6, 3-6 |
| 16 | runner-up | 9 | 2013-05-18 00:00:00 | saint-gaudens, france | clay | kurumi nara | julia glushko paula ormaechea | 5-7, 6-7(11-13) | | | | partner |
|---:|:--------------------|
| 0 | marie-eve pelletier |
| 1 | olga savchuk | | [
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]
] | [
[
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0,
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] |
select release where title = 'lego friends' col : title | release | genre | computer | console | handheld | smartphone row 1 : bionicle heroes | 2006 | third-person shooter | windows | playstation 2, gamecube, xbox, xbox 360, wii | nintendo ds | none row 2 : bionicle: matoran adventures | 2002 | platformer | none | none | game boy advance | none row 3 : bionicle: maze of shadows | 2005 | turn based rpg | none | none | game boy advance | none row 4 : bionicle: tales of the tohunga | 2001 | adventure | none | none | game boy advance | none row 5 : bionicle: the game | 2003 | adventure | windows, os x | playstation 2, gamecube, xbox | game boy advance | none row 6 : drome racers | 2002 | racing | windows | playstation 2, gamecube, xbox | game boy advance | none row 7 : island xtreme stunts | 2002 | action-adventure | windows | playstation 2 | game boy advance | none row 8 : lego alpha team | 2000 | action | windows | none | game boy color | none row 9 : lego battles | 2009 | real-time strategy | none | none | nintendo ds | none row 10 : lego battles: ninjago | 2011 | real-time strategy | none | none | nintendo ds | ios row 11 : lego chess | 1998 | strategy | windows | none | none | none row 12 : lego city undercover | 2013 | open world, platform game | none | wii u | none | none row 13 : lego city undercover: the chase begins | 2013 | open world, platform game | none | none | nintendo 3ds | none row 14 : lego creationary | 2011 | puzzle | none | none | none | ios, android row 15 : lego creator | 1998 | construction and management simulation | windows | none | none | none row 16 : lego creator: knights kingdom | 2000 | construction and management simulation | windows | none | none | none row 17 : lego friends | 2013 | miscellaneous | none | none | nintendo ds, nintendo 3ds | none row 18 : lego island | 1997 | action-adventure | windows | none | none | none row 19 : lego island 2 the brickster's revenge | 2001 | action-adventure | windows | playstation | game boy color, game boy advance | none row 20 : lego knights' kingdom | 2004 | action-adventure | none | none | game boy advance | none row 21 : lego legends of chima online | 2014 | massively multiplayer online (mmo) | windows | none | none | none row 22 : lego legends of chima: laval's journey | 2013 | action-adventure | none | none | nintendo ds, nintendo 3ds, playstation vita | none row 23 : lego legends of chima: speedorz | 2013 | racing | windows | none | none | ios row 24 : lego loco | 1998 | virtual world | windows | none | none | none row 25 : lego minifigures online | 2014 | massively multiplayer online (mmo) | windows | none | none | ios, android row 26 : lego my style kindergarten | 2000 | educational | windows, mac os | none | none | none row 27 : lego my style preschool | 2000 | educational | windows, mac os | none | none | none row 28 : lego ninjago nindroids | 2014 | action-adventure | none | none | nintendo 3ds, playstation vita | none row 29 : lego ninjago: the final battle | 2013 | platformer | windows | none | none | none row 30 : lego racers | 1999 | racing | windows | playstation, nintendo 64 | game boy color | none row 31 : lego racers 2 | 2001 | racing | windows | playstation 2 | game boy advance | none row 32 : lego rock raiders | 1999 | real-time strategy, action | windows | playstation | none | none row 33 : lego soccer mania | 2002 | sport | windows | playstation 2 | game boy advance | none row 34 : lego stunt rally | 2000 | racing | windows | none | game boy color | none row 35 : lego universe | 2010 | massively multiplayer online (mmo) | windows, os x | none | none | none row 36 : legoland | 1999 | simulation strategy | windows | none | none | none | col : release row 1 : 2013 | select release where title = 'lego friends' <table_name> : table \begin{tabular}{llllllll}
\toprule
& title & release & genre & computer & console & handheld & smartphone \\
\midrule
0 & bionicle heroes & 2006 & third-person shooter & windows & playstation 2, gamecube, xbox, xbox 360, wii & nintendo ds & none \\
1 & bionicle: matoran adventures & 2002 & platformer & none & none & game boy advance & none \\
2 & bionicle: maze of shadows & 2005 & turn based rpg & none & none & game boy advance & none \\
3 & bionicle: tales of the tohunga & 2001 & adventure & none & none & game boy advance & none \\
4 & bionicle: the game & 2003 & adventure & windows, os x & playstation 2, gamecube, xbox & game boy advance & none \\
5 & drome racers & 2002 & racing & windows & playstation 2, gamecube, xbox & game boy advance & none \\
6 & island xtreme stunts & 2002 & action-adventure & windows & playstation 2 & game boy advance & none \\
7 & lego alpha team & 2000 & action & windows & none & game boy color & none \\
8 & lego battles & 2009 & real-time strategy & none & none & nintendo ds & none \\
9 & lego battles: ninjago & 2011 & real-time strategy & none & none & nintendo ds & ios \\
10 & lego chess & 1998 & strategy & windows & none & none & none \\
11 & lego city undercover & 2013 & open world, platform game & none & wii u & none & none \\
12 & lego city undercover: the chase begins & 2013 & open world, platform game & none & none & nintendo 3ds & none \\
13 & lego creationary & 2011 & puzzle & none & none & none & ios, android \\
14 & lego creator & 1998 & construction and management simulation & windows & none & none & none \\
15 & lego creator: knights kingdom & 2000 & construction and management simulation & windows & none & none & none \\
16 & lego friends & 2013 & miscellaneous & none & none & nintendo ds, nintendo 3ds & none \\
17 & lego island & 1997 & action-adventure & windows & none & none & none \\
18 & lego island 2 the brickster's revenge & 2001 & action-adventure & windows & playstation & game boy color, game boy advance & none \\
19 & lego knights' kingdom & 2004 & action-adventure & none & none & game boy advance & none \\
20 & lego legends of chima online & 2014 & massively multiplayer online (mmo) & windows & none & none & none \\
21 & lego legends of chima: laval's journey & 2013 & action-adventure & none & none & nintendo ds, nintendo 3ds, playstation vita & none \\
22 & lego legends of chima: speedorz & 2013 & racing & windows & none & none & ios \\
23 & lego loco & 1998 & virtual world & windows & none & none & none \\
24 & lego minifigures online & 2014 & massively multiplayer online (mmo) & windows & none & none & ios, android \\
25 & lego my style kindergarten & 2000 & educational & windows, mac os & none & none & none \\
26 & lego my style preschool & 2000 & educational & windows, mac os & none & none & none \\
27 & lego ninjago nindroids & 2014 & action-adventure & none & none & nintendo 3ds, playstation vita & none \\
28 & lego ninjago: the final battle & 2013 & platformer & windows & none & none & none \\
29 & lego racers & 1999 & racing & windows & playstation, nintendo 64 & game boy color & none \\
30 & lego racers 2 & 2001 & racing & windows & playstation 2 & game boy advance & none \\
31 & lego rock raiders & 1999 & real-time strategy, action & windows & playstation & none & none \\
32 & lego soccer mania & 2002 & sport & windows & playstation 2 & game boy advance & none \\
33 & lego stunt rally & 2000 & racing & windows & none & game boy color & none \\
34 & lego universe & 2010 & massively multiplayer online (mmo) & windows, os x & none & none & none \\
35 & legoland & 1999 & simulation strategy & windows & none & none & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& release \\
\midrule
0 & 2013 \\
\bottomrule
\end{tabular}
| select release where title = 'lego friends' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>title</th>
<th>release</th>
<th>genre</th>
<th>computer</th>
<th>console</th>
<th>handheld</th>
<th>smartphone</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>bionicle heroes</td>
<td>2006</td>
<td>third-person shooter</td>
<td>windows</td>
<td>playstation 2, gamecube, xbox, xbox 360, wii</td>
<td>nintendo ds</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>bionicle: matoran adventures</td>
<td>2002</td>
<td>platformer</td>
<td>none</td>
<td>none</td>
<td>game boy advance</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>bionicle: maze of shadows</td>
<td>2005</td>
<td>turn based rpg</td>
<td>none</td>
<td>none</td>
<td>game boy advance</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>bionicle: tales of the tohunga</td>
<td>2001</td>
<td>adventure</td>
<td>none</td>
<td>none</td>
<td>game boy advance</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>bionicle: the game</td>
<td>2003</td>
<td>adventure</td>
<td>windows, os x</td>
<td>playstation 2, gamecube, xbox</td>
<td>game boy advance</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>drome racers</td>
<td>2002</td>
<td>racing</td>
<td>windows</td>
<td>playstation 2, gamecube, xbox</td>
<td>game boy advance</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>island xtreme stunts</td>
<td>2002</td>
<td>action-adventure</td>
<td>windows</td>
<td>playstation 2</td>
<td>game boy advance</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>lego alpha team</td>
<td>2000</td>
<td>action</td>
<td>windows</td>
<td>none</td>
<td>game boy color</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>lego battles</td>
<td>2009</td>
<td>real-time strategy</td>
<td>none</td>
<td>none</td>
<td>nintendo ds</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>lego battles: ninjago</td>
<td>2011</td>
<td>real-time strategy</td>
<td>none</td>
<td>none</td>
<td>nintendo ds</td>
<td>ios</td>
</tr>
<tr>
<th>10</th>
<td>lego chess</td>
<td>1998</td>
<td>strategy</td>
<td>windows</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>lego city undercover</td>
<td>2013</td>
<td>open world, platform game</td>
<td>none</td>
<td>wii u</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>12</th>
<td>lego city undercover: the chase begins</td>
<td>2013</td>
<td>open world, platform game</td>
<td>none</td>
<td>none</td>
<td>nintendo 3ds</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>lego creationary</td>
<td>2011</td>
<td>puzzle</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>ios, android</td>
</tr>
<tr>
<th>14</th>
<td>lego creator</td>
<td>1998</td>
<td>construction and management simulation</td>
<td>windows</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>lego creator: knights kingdom</td>
<td>2000</td>
<td>construction and management simulation</td>
<td>windows</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>16</th>
<td>lego friends</td>
<td>2013</td>
<td>miscellaneous</td>
<td>none</td>
<td>none</td>
<td>nintendo ds, nintendo 3ds</td>
<td>none</td>
</tr>
<tr>
<th>17</th>
<td>lego island</td>
<td>1997</td>
<td>action-adventure</td>
<td>windows</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>18</th>
<td>lego island 2 the brickster's revenge</td>
<td>2001</td>
<td>action-adventure</td>
<td>windows</td>
<td>playstation</td>
<td>game boy color, game boy advance</td>
<td>none</td>
</tr>
<tr>
<th>19</th>
<td>lego knights' kingdom</td>
<td>2004</td>
<td>action-adventure</td>
<td>none</td>
<td>none</td>
<td>game boy advance</td>
<td>none</td>
</tr>
<tr>
<th>20</th>
<td>lego legends of chima online</td>
<td>2014</td>
<td>massively multiplayer online (mmo)</td>
<td>windows</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>21</th>
<td>lego legends of chima: laval's journey</td>
<td>2013</td>
<td>action-adventure</td>
<td>none</td>
<td>none</td>
<td>nintendo ds, nintendo 3ds, playstation vita</td>
<td>none</td>
</tr>
<tr>
<th>22</th>
<td>lego legends of chima: speedorz</td>
<td>2013</td>
<td>racing</td>
<td>windows</td>
<td>none</td>
<td>none</td>
<td>ios</td>
</tr>
<tr>
<th>23</th>
<td>lego loco</td>
<td>1998</td>
<td>virtual world</td>
<td>windows</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>24</th>
<td>lego minifigures online</td>
<td>2014</td>
<td>massively multiplayer online (mmo)</td>
<td>windows</td>
<td>none</td>
<td>none</td>
<td>ios, android</td>
</tr>
<tr>
<th>25</th>
<td>lego my style kindergarten</td>
<td>2000</td>
<td>educational</td>
<td>windows, mac os</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>26</th>
<td>lego my style preschool</td>
<td>2000</td>
<td>educational</td>
<td>windows, mac os</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>27</th>
<td>lego ninjago nindroids</td>
<td>2014</td>
<td>action-adventure</td>
<td>none</td>
<td>none</td>
<td>nintendo 3ds, playstation vita</td>
<td>none</td>
</tr>
<tr>
<th>28</th>
<td>lego ninjago: the final battle</td>
<td>2013</td>
<td>platformer</td>
<td>windows</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>29</th>
<td>lego racers</td>
<td>1999</td>
<td>racing</td>
<td>windows</td>
<td>playstation, nintendo 64</td>
<td>game boy color</td>
<td>none</td>
</tr>
<tr>
<th>30</th>
<td>lego racers 2</td>
<td>2001</td>
<td>racing</td>
<td>windows</td>
<td>playstation 2</td>
<td>game boy advance</td>
<td>none</td>
</tr>
<tr>
<th>31</th>
<td>lego rock raiders</td>
<td>1999</td>
<td>real-time strategy, action</td>
<td>windows</td>
<td>playstation</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>32</th>
<td>lego soccer mania</td>
<td>2002</td>
<td>sport</td>
<td>windows</td>
<td>playstation 2</td>
<td>game boy advance</td>
<td>none</td>
</tr>
<tr>
<th>33</th>
<td>lego stunt rally</td>
<td>2000</td>
<td>racing</td>
<td>windows</td>
<td>none</td>
<td>game boy color</td>
<td>none</td>
</tr>
<tr>
<th>34</th>
<td>lego universe</td>
<td>2010</td>
<td>massively multiplayer online (mmo)</td>
<td>windows, os x</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>35</th>
<td>legoland</td>
<td>1999</td>
<td>simulation strategy</td>
<td>windows</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>release</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2013</td>
</tr>
</tbody>
</table> | select release where title = 'lego friends' <table_name> : table | | title | release | genre | computer | console | handheld | smartphone |
|---:|:---------------------------------------|----------:|:---------------------------------------|:----------------|:---------------------------------------------|:--------------------------------------------|:-------------|
| 0 | bionicle heroes | 2006 | third-person shooter | windows | playstation 2, gamecube, xbox, xbox 360, wii | nintendo ds | none |
| 1 | bionicle: matoran adventures | 2002 | platformer | none | none | game boy advance | none |
| 2 | bionicle: maze of shadows | 2005 | turn based rpg | none | none | game boy advance | none |
| 3 | bionicle: tales of the tohunga | 2001 | adventure | none | none | game boy advance | none |
| 4 | bionicle: the game | 2003 | adventure | windows, os x | playstation 2, gamecube, xbox | game boy advance | none |
| 5 | drome racers | 2002 | racing | windows | playstation 2, gamecube, xbox | game boy advance | none |
| 6 | island xtreme stunts | 2002 | action-adventure | windows | playstation 2 | game boy advance | none |
| 7 | lego alpha team | 2000 | action | windows | none | game boy color | none |
| 8 | lego battles | 2009 | real-time strategy | none | none | nintendo ds | none |
| 9 | lego battles: ninjago | 2011 | real-time strategy | none | none | nintendo ds | ios |
| 10 | lego chess | 1998 | strategy | windows | none | none | none |
| 11 | lego city undercover | 2013 | open world, platform game | none | wii u | none | none |
| 12 | lego city undercover: the chase begins | 2013 | open world, platform game | none | none | nintendo 3ds | none |
| 13 | lego creationary | 2011 | puzzle | none | none | none | ios, android |
| 14 | lego creator | 1998 | construction and management simulation | windows | none | none | none |
| 15 | lego creator: knights kingdom | 2000 | construction and management simulation | windows | none | none | none |
| 16 | lego friends | 2013 | miscellaneous | none | none | nintendo ds, nintendo 3ds | none |
| 17 | lego island | 1997 | action-adventure | windows | none | none | none |
| 18 | lego island 2 the brickster's revenge | 2001 | action-adventure | windows | playstation | game boy color, game boy advance | none |
| 19 | lego knights' kingdom | 2004 | action-adventure | none | none | game boy advance | none |
| 20 | lego legends of chima online | 2014 | massively multiplayer online (mmo) | windows | none | none | none |
| 21 | lego legends of chima: laval's journey | 2013 | action-adventure | none | none | nintendo ds, nintendo 3ds, playstation vita | none |
| 22 | lego legends of chima: speedorz | 2013 | racing | windows | none | none | ios |
| 23 | lego loco | 1998 | virtual world | windows | none | none | none |
| 24 | lego minifigures online | 2014 | massively multiplayer online (mmo) | windows | none | none | ios, android |
| 25 | lego my style kindergarten | 2000 | educational | windows, mac os | none | none | none |
| 26 | lego my style preschool | 2000 | educational | windows, mac os | none | none | none |
| 27 | lego ninjago nindroids | 2014 | action-adventure | none | none | nintendo 3ds, playstation vita | none |
| 28 | lego ninjago: the final battle | 2013 | platformer | windows | none | none | none |
| 29 | lego racers | 1999 | racing | windows | playstation, nintendo 64 | game boy color | none |
| 30 | lego racers 2 | 2001 | racing | windows | playstation 2 | game boy advance | none |
| 31 | lego rock raiders | 1999 | real-time strategy, action | windows | playstation | none | none |
| 32 | lego soccer mania | 2002 | sport | windows | playstation 2 | game boy advance | none |
| 33 | lego stunt rally | 2000 | racing | windows | none | game boy color | none |
| 34 | lego universe | 2010 | massively multiplayer online (mmo) | windows, os x | none | none | none |
| 35 | legoland | 1999 | simulation strategy | windows | none | none | none | | | | release |
|---:|----------:|
| 0 | 2013 | | [
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select number of winning tickets where in order to win = 'match all 5 in order' col : divisions | prize (eur) | odds of winning (1 in) | number of winning tickets | in order to win row 1 : all | 45000 | 3.54 | 565 | any prize row 2 : 1st | 18000 | 2000.0 | 1 | match all 5 in order row 3 : 2nd | 750 | 2000.0 | 1 | match all 5 in order row 4 : 3rd | 600 | 2000.0 | 1 | match all 5 in order row 5 : 4th | 450 | 2000.0 | 1 | match all 5 in order row 6 : 5th | 300 | 2000.0 | 1 | match all 5 in order row 7 : 6th | 135 | 2000.0 | 1 | match all 5 in order row 8 : sub | 180 | 2000.0 | 2 | nearest number to 1st prize row 9 : sub | 180 | 2000.0 | 2 | nearest number to 2nd prize row 10 : sub | 180 | 2000.0 | 2 | nearest number to 3rd prize row 11 : sub | 17820 | 20.2 | 297 | first 3 digits of 1st, 2nd & 3rd row 12 : sub | 3420 | 105.3 | 57 | last 2 digits of 1st, 2nd & 3rd row 13 : sub | 2985 | 10.1 | 199 | last 1 digit of 1st | col : number of winning tickets row 1 : 1 row 2 : 1 row 3 : 1 row 4 : 1 row 5 : 1 row 6 : 1 | select number of winning tickets where in order to win = 'match all 5 in order' <table_name> : table \begin{tabular}{llllll}
\toprule
& divisions & prize (eur) & odds of winning (1 in) & number of winning tickets & in order to win \\
\midrule
0 & all & 45000 & 3.54 & 565 & any prize \\
1 & 1st & 18000 & 2000.0 & 1 & match all 5 in order \\
2 & 2nd & 750 & 2000.0 & 1 & match all 5 in order \\
3 & 3rd & 600 & 2000.0 & 1 & match all 5 in order \\
4 & 4th & 450 & 2000.0 & 1 & match all 5 in order \\
5 & 5th & 300 & 2000.0 & 1 & match all 5 in order \\
6 & 6th & 135 & 2000.0 & 1 & match all 5 in order \\
7 & sub & 180 & 2000.0 & 2 & nearest number to 1st prize \\
8 & sub & 180 & 2000.0 & 2 & nearest number to 2nd prize \\
9 & sub & 180 & 2000.0 & 2 & nearest number to 3rd prize \\
10 & sub & 17820 & 20.2 & 297 & first 3 digits of 1st, 2nd & 3rd \\
11 & sub & 3420 & 105.3 & 57 & last 2 digits of 1st, 2nd & 3rd \\
12 & sub & 2985 & 10.1 & 199 & last 1 digit of 1st \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& number of winning tickets \\
\midrule
0 & 1 \\
1 & 1 \\
2 & 1 \\
3 & 1 \\
4 & 1 \\
5 & 1 \\
\bottomrule
\end{tabular}
| select number of winning tickets where in order to win = 'match all 5 in order' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>divisions</th>
<th>prize (eur)</th>
<th>odds of winning (1 in)</th>
<th>number of winning tickets</th>
<th>in order to win</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>all</td>
<td>45000</td>
<td>3.54</td>
<td>565</td>
<td>any prize</td>
</tr>
<tr>
<th>1</th>
<td>1st</td>
<td>18000</td>
<td>2000.0</td>
<td>1</td>
<td>match all 5 in order</td>
</tr>
<tr>
<th>2</th>
<td>2nd</td>
<td>750</td>
<td>2000.0</td>
<td>1</td>
<td>match all 5 in order</td>
</tr>
<tr>
<th>3</th>
<td>3rd</td>
<td>600</td>
<td>2000.0</td>
<td>1</td>
<td>match all 5 in order</td>
</tr>
<tr>
<th>4</th>
<td>4th</td>
<td>450</td>
<td>2000.0</td>
<td>1</td>
<td>match all 5 in order</td>
</tr>
<tr>
<th>5</th>
<td>5th</td>
<td>300</td>
<td>2000.0</td>
<td>1</td>
<td>match all 5 in order</td>
</tr>
<tr>
<th>6</th>
<td>6th</td>
<td>135</td>
<td>2000.0</td>
<td>1</td>
<td>match all 5 in order</td>
</tr>
<tr>
<th>7</th>
<td>sub</td>
<td>180</td>
<td>2000.0</td>
<td>2</td>
<td>nearest number to 1st prize</td>
</tr>
<tr>
<th>8</th>
<td>sub</td>
<td>180</td>
<td>2000.0</td>
<td>2</td>
<td>nearest number to 2nd prize</td>
</tr>
<tr>
<th>9</th>
<td>sub</td>
<td>180</td>
<td>2000.0</td>
<td>2</td>
<td>nearest number to 3rd prize</td>
</tr>
<tr>
<th>10</th>
<td>sub</td>
<td>17820</td>
<td>20.2</td>
<td>297</td>
<td>first 3 digits of 1st, 2nd & 3rd</td>
</tr>
<tr>
<th>11</th>
<td>sub</td>
<td>3420</td>
<td>105.3</td>
<td>57</td>
<td>last 2 digits of 1st, 2nd & 3rd</td>
</tr>
<tr>
<th>12</th>
<td>sub</td>
<td>2985</td>
<td>10.1</td>
<td>199</td>
<td>last 1 digit of 1st</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>number of winning tickets</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
<tr>
<th>1</th>
<td>1</td>
</tr>
<tr>
<th>2</th>
<td>1</td>
</tr>
<tr>
<th>3</th>
<td>1</td>
</tr>
<tr>
<th>4</th>
<td>1</td>
</tr>
<tr>
<th>5</th>
<td>1</td>
</tr>
</tbody>
</table> | select number of winning tickets where in order to win = 'match all 5 in order' <table_name> : table | | divisions | prize (eur) | odds of winning (1 in) | number of winning tickets | in order to win |
|---:|:------------|--------------:|-------------------------:|----------------------------:|:---------------------------------|
| 0 | all | 45000 | 3.54 | 565 | any prize |
| 1 | 1st | 18000 | 2000 | 1 | match all 5 in order |
| 2 | 2nd | 750 | 2000 | 1 | match all 5 in order |
| 3 | 3rd | 600 | 2000 | 1 | match all 5 in order |
| 4 | 4th | 450 | 2000 | 1 | match all 5 in order |
| 5 | 5th | 300 | 2000 | 1 | match all 5 in order |
| 6 | 6th | 135 | 2000 | 1 | match all 5 in order |
| 7 | sub | 180 | 2000 | 2 | nearest number to 1st prize |
| 8 | sub | 180 | 2000 | 2 | nearest number to 2nd prize |
| 9 | sub | 180 | 2000 | 2 | nearest number to 3rd prize |
| 10 | sub | 17820 | 20.2 | 297 | first 3 digits of 1st, 2nd & 3rd |
| 11 | sub | 3420 | 105.3 | 57 | last 2 digits of 1st, 2nd & 3rd |
| 12 | sub | 2985 | 10.1 | 199 | last 1 digit of 1st | | | | number of winning tickets |
|---:|----------------------------:|
| 0 | 1 |
| 1 | 1 |
| 2 | 1 |
| 3 | 1 |
| 4 | 1 |
| 5 | 1 | | [
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select # where opponent = 'el salvador' col : # | date | venue | opponent | score | result | competition row 1 : 1 | 1996-01-10 00:00:00 | edison international field, anaheim, united states | honduras | 1-0 | 3-1 | 1996 concacaf gold cup row 2 : 2 | 1996-08-30 00:00:00 | commonwealth stadium, edmonton, canada | panama | 3-1 | 3-1 | 1998 fifa world cup qualification row 3 : 3 | 1997-10-12 00:00:00 | commonwealth stadium, edmonton, canada | mexico | 2-1 | 2-2 | 1998 fifa world cup qualification row 4 : 4 | 1999-10-08 00:00:00 | los angeles memorial coliseum, los angeles, united states | el salvador | 1-0 | 2-1 | 2000 concacaf gold cup qualification play off row 5 : 5 | 1999-10-10 00:00:00 | los angeles memorial coliseum, los angeles, united states | haiti | 1-0 | 2-1 | 2000 concacaf gold cup qualification play off row 6 : 6 | 1999-10-10 00:00:00 | los angeles memorial coliseum, los angeles, united states | haiti | 2-0 | 2-2 | 2000 concacaf gold cup qualification play off row 7 : 7 | 2000-02-13 00:00:00 | qualcomm stadium, san diego, united states | costa rica | 1-1 | 2-2 | 2000 concacaf gold cup row 8 : 8 | 2000-02-13 00:00:00 | qualcomm stadium, san diego, united states | costa rica | 2-2 | 2-2 | 2000 concacaf gold cup row 9 : 9 | 2000-02-20 00:00:00 | qualcomm stadium, san diego, united states | mexico | 1-1 | 2-1 | 2000 concacaf gold cup row 10 : 10 | 2000-02-27 00:00:00 | los angeles memorial coliseum, los angeles, united states | colombia | 2-0 | 2-0 | 2000 concacaf gold cup row 11 : 11 | 2004-01-18 00:00:00 | bridgetown, barbados | barbados | 1-0 | 1-0 | friendly match | col : # row 1 : 4 | select # where opponent = 'el salvador' <table_name> : table \begin{tabular}{llllllll}
\toprule
& # & date & venue & opponent & score & result & competition \\
\midrule
0 & 1 & 1996-01-10 00:00:00 & edison international field, anaheim, united states & honduras & 1-0 & 3-1 & 1996 concacaf gold cup \\
1 & 2 & 1996-08-30 00:00:00 & commonwealth stadium, edmonton, canada & panama & 3-1 & 3-1 & 1998 fifa world cup qualification \\
2 & 3 & 1997-10-12 00:00:00 & commonwealth stadium, edmonton, canada & mexico & 2-1 & 2-2 & 1998 fifa world cup qualification \\
3 & 4 & 1999-10-08 00:00:00 & los angeles memorial coliseum, los angeles, united states & el salvador & 1-0 & 2-1 & 2000 concacaf gold cup qualification play off \\
4 & 5 & 1999-10-10 00:00:00 & los angeles memorial coliseum, los angeles, united states & haiti & 1-0 & 2-1 & 2000 concacaf gold cup qualification play off \\
5 & 6 & 1999-10-10 00:00:00 & los angeles memorial coliseum, los angeles, united states & haiti & 2-0 & 2-2 & 2000 concacaf gold cup qualification play off \\
6 & 7 & 2000-02-13 00:00:00 & qualcomm stadium, san diego, united states & costa rica & 1-1 & 2-2 & 2000 concacaf gold cup \\
7 & 8 & 2000-02-13 00:00:00 & qualcomm stadium, san diego, united states & costa rica & 2-2 & 2-2 & 2000 concacaf gold cup \\
8 & 9 & 2000-02-20 00:00:00 & qualcomm stadium, san diego, united states & mexico & 1-1 & 2-1 & 2000 concacaf gold cup \\
9 & 10 & 2000-02-27 00:00:00 & los angeles memorial coliseum, los angeles, united states & colombia & 2-0 & 2-0 & 2000 concacaf gold cup \\
10 & 11 & 2004-01-18 00:00:00 & bridgetown, barbados & barbados & 1-0 & 1-0 & friendly match \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& # \\
\midrule
0 & 4 \\
\bottomrule
\end{tabular}
| select # where opponent = 'el salvador' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>#</th>
<th>date</th>
<th>venue</th>
<th>opponent</th>
<th>score</th>
<th>result</th>
<th>competition</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>1996-01-10 00:00:00</td>
<td>edison international field, anaheim, united states</td>
<td>honduras</td>
<td>1-0</td>
<td>3-1</td>
<td>1996 concacaf gold cup</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>1996-08-30 00:00:00</td>
<td>commonwealth stadium, edmonton, canada</td>
<td>panama</td>
<td>3-1</td>
<td>3-1</td>
<td>1998 fifa world cup qualification</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>1997-10-12 00:00:00</td>
<td>commonwealth stadium, edmonton, canada</td>
<td>mexico</td>
<td>2-1</td>
<td>2-2</td>
<td>1998 fifa world cup qualification</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>1999-10-08 00:00:00</td>
<td>los angeles memorial coliseum, los angeles, united states</td>
<td>el salvador</td>
<td>1-0</td>
<td>2-1</td>
<td>2000 concacaf gold cup qualification play off</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>1999-10-10 00:00:00</td>
<td>los angeles memorial coliseum, los angeles, united states</td>
<td>haiti</td>
<td>1-0</td>
<td>2-1</td>
<td>2000 concacaf gold cup qualification play off</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>1999-10-10 00:00:00</td>
<td>los angeles memorial coliseum, los angeles, united states</td>
<td>haiti</td>
<td>2-0</td>
<td>2-2</td>
<td>2000 concacaf gold cup qualification play off</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>2000-02-13 00:00:00</td>
<td>qualcomm stadium, san diego, united states</td>
<td>costa rica</td>
<td>1-1</td>
<td>2-2</td>
<td>2000 concacaf gold cup</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>2000-02-13 00:00:00</td>
<td>qualcomm stadium, san diego, united states</td>
<td>costa rica</td>
<td>2-2</td>
<td>2-2</td>
<td>2000 concacaf gold cup</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>2000-02-20 00:00:00</td>
<td>qualcomm stadium, san diego, united states</td>
<td>mexico</td>
<td>1-1</td>
<td>2-1</td>
<td>2000 concacaf gold cup</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>2000-02-27 00:00:00</td>
<td>los angeles memorial coliseum, los angeles, united states</td>
<td>colombia</td>
<td>2-0</td>
<td>2-0</td>
<td>2000 concacaf gold cup</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>2004-01-18 00:00:00</td>
<td>bridgetown, barbados</td>
<td>barbados</td>
<td>1-0</td>
<td>1-0</td>
<td>friendly match</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>#</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>4</td>
</tr>
</tbody>
</table> | select # where opponent = 'el salvador' <table_name> : table | | # | date | venue | opponent | score | result | competition |
|---:|----:|:--------------------|:----------------------------------------------------------|:------------|:--------|:---------|:----------------------------------------------|
| 0 | 1 | 1996-01-10 00:00:00 | edison international field, anaheim, united states | honduras | 1-0 | 3-1 | 1996 concacaf gold cup |
| 1 | 2 | 1996-08-30 00:00:00 | commonwealth stadium, edmonton, canada | panama | 3-1 | 3-1 | 1998 fifa world cup qualification |
| 2 | 3 | 1997-10-12 00:00:00 | commonwealth stadium, edmonton, canada | mexico | 2-1 | 2-2 | 1998 fifa world cup qualification |
| 3 | 4 | 1999-10-08 00:00:00 | los angeles memorial coliseum, los angeles, united states | el salvador | 1-0 | 2-1 | 2000 concacaf gold cup qualification play off |
| 4 | 5 | 1999-10-10 00:00:00 | los angeles memorial coliseum, los angeles, united states | haiti | 1-0 | 2-1 | 2000 concacaf gold cup qualification play off |
| 5 | 6 | 1999-10-10 00:00:00 | los angeles memorial coliseum, los angeles, united states | haiti | 2-0 | 2-2 | 2000 concacaf gold cup qualification play off |
| 6 | 7 | 2000-02-13 00:00:00 | qualcomm stadium, san diego, united states | costa rica | 1-1 | 2-2 | 2000 concacaf gold cup |
| 7 | 8 | 2000-02-13 00:00:00 | qualcomm stadium, san diego, united states | costa rica | 2-2 | 2-2 | 2000 concacaf gold cup |
| 8 | 9 | 2000-02-20 00:00:00 | qualcomm stadium, san diego, united states | mexico | 1-1 | 2-1 | 2000 concacaf gold cup |
| 9 | 10 | 2000-02-27 00:00:00 | los angeles memorial coliseum, los angeles, united states | colombia | 2-0 | 2-0 | 2000 concacaf gold cup |
| 10 | 11 | 2004-01-18 00:00:00 | bridgetown, barbados | barbados | 1-0 | 1-0 | friendly match | | | | # |
|---:|----:|
| 0 | 4 | | [
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select count ( midwest division v t e ) where l = 32 col : midwest division v t e | w | l | pct | gb | home | road | div row 1 : y-denver nuggets | 50 | 32 | 0.61 | none | 36-5 | 14-27 | 15-5 row 2 : x-detroit pistons | 44 | 38 | 0.537 | 6 | 30-11 | 14-27 | 12-8 row 3 : x-chicago bulls | 44 | 38 | 0.537 | 6 | 31-10 | 13-28 | 10-10 row 4 : kansas city kings | 40 | 42 | 0.488 | 10 | 28-13 | 12-29 | 7-13 row 5 : indiana pacers | 36 | 46 | 0.439 | 14 | 25-16 | 11-30 | 9-11 row 6 : milwaukee bucks | 30 | 52 | 0.366 | 20 | 24-17 | 6-35 | 7-13 | col : count ( "midwest division v t e" ) row 1 : 1 | select count ( midwest division v t e ) where l = 32 <table_name> : table \begin{tabular}{lllllllll}
\toprule
& midwest division v t e & w & l & pct & gb & home & road & div \\
\midrule
0 & y-denver nuggets & 50 & 32 & 0.61 & none & 36-5 & 14-27 & 15-5 \\
1 & x-detroit pistons & 44 & 38 & 0.537 & 6 & 30-11 & 14-27 & 12-8 \\
2 & x-chicago bulls & 44 & 38 & 0.537 & 6 & 31-10 & 13-28 & 10-10 \\
3 & kansas city kings & 40 & 42 & 0.488 & 10 & 28-13 & 12-29 & 7-13 \\
4 & indiana pacers & 36 & 46 & 0.439 & 14 & 25-16 & 11-30 & 9-11 \\
5 & milwaukee bucks & 30 & 52 & 0.366 & 20 & 24-17 & 6-35 & 7-13 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "midwest division v t e" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( midwest division v t e ) where l = 32 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>midwest division v t e</th>
<th>w</th>
<th>l</th>
<th>pct</th>
<th>gb</th>
<th>home</th>
<th>road</th>
<th>div</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>y-denver nuggets</td>
<td>50</td>
<td>32</td>
<td>0.61</td>
<td>none</td>
<td>36-5</td>
<td>14-27</td>
<td>15-5</td>
</tr>
<tr>
<th>1</th>
<td>x-detroit pistons</td>
<td>44</td>
<td>38</td>
<td>0.537</td>
<td>6</td>
<td>30-11</td>
<td>14-27</td>
<td>12-8</td>
</tr>
<tr>
<th>2</th>
<td>x-chicago bulls</td>
<td>44</td>
<td>38</td>
<td>0.537</td>
<td>6</td>
<td>31-10</td>
<td>13-28</td>
<td>10-10</td>
</tr>
<tr>
<th>3</th>
<td>kansas city kings</td>
<td>40</td>
<td>42</td>
<td>0.488</td>
<td>10</td>
<td>28-13</td>
<td>12-29</td>
<td>7-13</td>
</tr>
<tr>
<th>4</th>
<td>indiana pacers</td>
<td>36</td>
<td>46</td>
<td>0.439</td>
<td>14</td>
<td>25-16</td>
<td>11-30</td>
<td>9-11</td>
</tr>
<tr>
<th>5</th>
<td>milwaukee bucks</td>
<td>30</td>
<td>52</td>
<td>0.366</td>
<td>20</td>
<td>24-17</td>
<td>6-35</td>
<td>7-13</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "midwest division v t e" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( midwest division v t e ) where l = 32 <table_name> : table | | midwest division v t e | w | l | pct | gb | home | road | div |
|---:|:-------------------------|----:|----:|------:|:-----|:-------|:-------|:------|
| 0 | y-denver nuggets | 50 | 32 | 0.61 | none | 36-5 | 14-27 | 15-5 |
| 1 | x-detroit pistons | 44 | 38 | 0.537 | 6 | 30-11 | 14-27 | 12-8 |
| 2 | x-chicago bulls | 44 | 38 | 0.537 | 6 | 31-10 | 13-28 | 10-10 |
| 3 | kansas city kings | 40 | 42 | 0.488 | 10 | 28-13 | 12-29 | 7-13 |
| 4 | indiana pacers | 36 | 46 | 0.439 | 14 | 25-16 | 11-30 | 9-11 |
| 5 | milwaukee bucks | 30 | 52 | 0.366 | 20 | 24-17 | 6-35 | 7-13 | | | | count ( "midwest division v t e" ) |
|---:|-------------------------------------:|
| 0 | 1 | | [
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select 25th where number < 459 col : number | symbol | name | 21st | 22nd | 23rd | 24th | 25th | 26th | 27th | 28th | 29th | 30th row 1 : 21 | sc | scandium | 582163 | none | none | none | none | none | none | none | none | none row 2 : 22 | ti | titanium | 602930 | 639294 | none | none | none | none | none | none | none | none row 3 : 23 | v | vanadium | 151440 | 661050 | 699144 | none | none | none | none | none | none | none row 4 : 24 | cr | chromium | 157700 | 166090 | 721870 | 761733 | none | none | none | none | none | none row 5 : 25 | mn | manganese | 158600 | 172500 | 181380 | 785450 | 827067 | none | none | none | none | none row 6 : 26 | fe | iron | 163000 | 173600 | 188100 | 195200 | 851800 | 895161 | none | none | none | none row 7 : 27 | co | cobalt | 167400 | 178100 | 189300 | 204500 | 214100 | 920870 | 966023 | none | none | none row 8 : 28 | ni | nickel | 169400 | 182700 | 194000 | 205600 | 221400 | 231490 | 992718 | 1039668 | none | none row 9 : 29 | cu | copper | 174100 | 184900 | 198800 | 210500 | 222700 | 239100 | 249660 | 1067358 | 1116105 | none row 10 : 30 | zn | zinc | 179100 | none | none | none | none | none | none | none | none | none row 11 : 36 | kr | krypton | 85300 | 90400 | 96300 | 101400 | 111100 | 116290 | 282500 | 296200 | 311400 | 326200 row 12 : 42 | mo | molybdenum | 87000 | 93400 | 98420 | 104400 | 121900 | 127700 | 133800 | 139800 | 148100 | 154500 | col : 25th row 1 : none row 2 : none row 3 : none row 4 : none row 5 : 827067 row 6 : 851800 row 7 : 214100 row 8 : 221400 row 9 : 222700 row 10 : none row 11 : 111100 row 12 : 121900 | select 25th where number < 459 <table_name> : table \begin{tabular}{llllllllllllll}
\toprule
& number & symbol & name & 21st & 22nd & 23rd & 24th & 25th & 26th & 27th & 28th & 29th & 30th \\
\midrule
0 & 21 & sc & scandium & 582163 & none & none & none & none & none & none & none & none & none \\
1 & 22 & ti & titanium & 602930 & 639294 & none & none & none & none & none & none & none & none \\
2 & 23 & v & vanadium & 151440 & 661050 & 699144 & none & none & none & none & none & none & none \\
3 & 24 & cr & chromium & 157700 & 166090 & 721870 & 761733 & none & none & none & none & none & none \\
4 & 25 & mn & manganese & 158600 & 172500 & 181380 & 785450 & 827067 & none & none & none & none & none \\
5 & 26 & fe & iron & 163000 & 173600 & 188100 & 195200 & 851800 & 895161 & none & none & none & none \\
6 & 27 & co & cobalt & 167400 & 178100 & 189300 & 204500 & 214100 & 920870 & 966023 & none & none & none \\
7 & 28 & ni & nickel & 169400 & 182700 & 194000 & 205600 & 221400 & 231490 & 992718 & 1039668 & none & none \\
8 & 29 & cu & copper & 174100 & 184900 & 198800 & 210500 & 222700 & 239100 & 249660 & 1067358 & 1116105 & none \\
9 & 30 & zn & zinc & 179100 & none & none & none & none & none & none & none & none & none \\
10 & 36 & kr & krypton & 85300 & 90400 & 96300 & 101400 & 111100 & 116290 & 282500 & 296200 & 311400 & 326200 \\
11 & 42 & mo & molybdenum & 87000 & 93400 & 98420 & 104400 & 121900 & 127700 & 133800 & 139800 & 148100 & 154500 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& 25th \\
\midrule
0 & none \\
1 & none \\
2 & none \\
3 & none \\
4 & 827067 \\
5 & 851800 \\
6 & 214100 \\
7 & 221400 \\
8 & 222700 \\
9 & none \\
10 & 111100 \\
11 & 121900 \\
\bottomrule
\end{tabular}
| select 25th where number < 459 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>number</th>
<th>symbol</th>
<th>name</th>
<th>21st</th>
<th>22nd</th>
<th>23rd</th>
<th>24th</th>
<th>25th</th>
<th>26th</th>
<th>27th</th>
<th>28th</th>
<th>29th</th>
<th>30th</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>21</td>
<td>sc</td>
<td>scandium</td>
<td>582163</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>22</td>
<td>ti</td>
<td>titanium</td>
<td>602930</td>
<td>639294</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>23</td>
<td>v</td>
<td>vanadium</td>
<td>151440</td>
<td>661050</td>
<td>699144</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>24</td>
<td>cr</td>
<td>chromium</td>
<td>157700</td>
<td>166090</td>
<td>721870</td>
<td>761733</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>25</td>
<td>mn</td>
<td>manganese</td>
<td>158600</td>
<td>172500</td>
<td>181380</td>
<td>785450</td>
<td>827067</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>26</td>
<td>fe</td>
<td>iron</td>
<td>163000</td>
<td>173600</td>
<td>188100</td>
<td>195200</td>
<td>851800</td>
<td>895161</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>27</td>
<td>co</td>
<td>cobalt</td>
<td>167400</td>
<td>178100</td>
<td>189300</td>
<td>204500</td>
<td>214100</td>
<td>920870</td>
<td>966023</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>28</td>
<td>ni</td>
<td>nickel</td>
<td>169400</td>
<td>182700</td>
<td>194000</td>
<td>205600</td>
<td>221400</td>
<td>231490</td>
<td>992718</td>
<td>1039668</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>29</td>
<td>cu</td>
<td>copper</td>
<td>174100</td>
<td>184900</td>
<td>198800</td>
<td>210500</td>
<td>222700</td>
<td>239100</td>
<td>249660</td>
<td>1067358</td>
<td>1116105</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>30</td>
<td>zn</td>
<td>zinc</td>
<td>179100</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>36</td>
<td>kr</td>
<td>krypton</td>
<td>85300</td>
<td>90400</td>
<td>96300</td>
<td>101400</td>
<td>111100</td>
<td>116290</td>
<td>282500</td>
<td>296200</td>
<td>311400</td>
<td>326200</td>
</tr>
<tr>
<th>11</th>
<td>42</td>
<td>mo</td>
<td>molybdenum</td>
<td>87000</td>
<td>93400</td>
<td>98420</td>
<td>104400</td>
<td>121900</td>
<td>127700</td>
<td>133800</td>
<td>139800</td>
<td>148100</td>
<td>154500</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>25th</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>827067</td>
</tr>
<tr>
<th>5</th>
<td>851800</td>
</tr>
<tr>
<th>6</th>
<td>214100</td>
</tr>
<tr>
<th>7</th>
<td>221400</td>
</tr>
<tr>
<th>8</th>
<td>222700</td>
</tr>
<tr>
<th>9</th>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>111100</td>
</tr>
<tr>
<th>11</th>
<td>121900</td>
</tr>
</tbody>
</table> | select 25th where number < 459 <table_name> : table | | number | symbol | name | 21st | 22nd | 23rd | 24th | 25th | 26th | 27th | 28th | 29th | 30th |
|---:|---------:|:---------|:-----------|-------:|:-------|:-------|:-------|:-------|:-------|:-------|:--------|:--------|:-------|
| 0 | 21 | sc | scandium | 582163 | none | none | none | none | none | none | none | none | none |
| 1 | 22 | ti | titanium | 602930 | 639294 | none | none | none | none | none | none | none | none |
| 2 | 23 | v | vanadium | 151440 | 661050 | 699144 | none | none | none | none | none | none | none |
| 3 | 24 | cr | chromium | 157700 | 166090 | 721870 | 761733 | none | none | none | none | none | none |
| 4 | 25 | mn | manganese | 158600 | 172500 | 181380 | 785450 | 827067 | none | none | none | none | none |
| 5 | 26 | fe | iron | 163000 | 173600 | 188100 | 195200 | 851800 | 895161 | none | none | none | none |
| 6 | 27 | co | cobalt | 167400 | 178100 | 189300 | 204500 | 214100 | 920870 | 966023 | none | none | none |
| 7 | 28 | ni | nickel | 169400 | 182700 | 194000 | 205600 | 221400 | 231490 | 992718 | 1039668 | none | none |
| 8 | 29 | cu | copper | 174100 | 184900 | 198800 | 210500 | 222700 | 239100 | 249660 | 1067358 | 1116105 | none |
| 9 | 30 | zn | zinc | 179100 | none | none | none | none | none | none | none | none | none |
| 10 | 36 | kr | krypton | 85300 | 90400 | 96300 | 101400 | 111100 | 116290 | 282500 | 296200 | 311400 | 326200 |
| 11 | 42 | mo | molybdenum | 87000 | 93400 | 98420 | 104400 | 121900 | 127700 | 133800 | 139800 | 148100 | 154500 | | | | 25th |
|---:|:-------|
| 0 | none |
| 1 | none |
| 2 | none |
| 3 | none |
| 4 | 827067 |
| 5 | 851800 |
| 6 | 214100 |
| 7 | 221400 |
| 8 | 222700 |
| 9 | none |
| 10 | 111100 |
| 11 | 121900 | | [
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[
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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select name where type = 'surface lift' col : name | type | elevation (ground station) | elevation (mountain station) | slope length | capacity (persons/hour) | construction year row 1 : fiesch- -alp 1+2 | cable car | 1074 | 2227 | 2940 | 800 | 1973 row 2 : fiesch- -alp 3+4 | cable car | 1071 | 2221 | 2937 | 270 | 1966 row 3 : fiescheralp-eggishorn | cable car | 2225 | 2879 | 1836 | 495 | 1968 row 4 : heimat | chairlift | 1858 | 2301 | 1144 | 1400 | 2000 row 5 : talegga | chairlift | 2208 | 2727 | 1782 | 2200 | 2010 row 6 : flesch | chairlift | 2208 | 2630 | 1357 | 2400 | 1993 row 7 : trainer 1 | surface lift | 2206 | 2264 | 218 | 1200 | 1987 row 8 : trainer 2 | surface lift | 2206 | 2264 | 218 | 1200 | 1987 row 9 : laxeralp 1 | surface lift | 2135 | 2179 | 396 | 1100 | 1981 row 10 : laxeralp 2 | surface lift | 2179 | 2280 | 394 | 1214 | 1981 | col : name row 1 : trainer 1 row 2 : trainer 2 row 3 : laxeralp 1 row 4 : laxeralp 2 | select name where type = 'surface lift' <table_name> : table \begin{tabular}{llllllll}
\toprule
& name & type & elevation (ground station) & elevation (mountain station) & slope length & capacity (persons/hour) & construction year \\
\midrule
0 & fiesch- -alp 1+2 & cable car & 1074 & 2227 & 2940 & 800 & 1973 \\
1 & fiesch- -alp 3+4 & cable car & 1071 & 2221 & 2937 & 270 & 1966 \\
2 & fiescheralp-eggishorn & cable car & 2225 & 2879 & 1836 & 495 & 1968 \\
3 & heimat & chairlift & 1858 & 2301 & 1144 & 1400 & 2000 \\
4 & talegga & chairlift & 2208 & 2727 & 1782 & 2200 & 2010 \\
5 & flesch & chairlift & 2208 & 2630 & 1357 & 2400 & 1993 \\
6 & trainer 1 & surface lift & 2206 & 2264 & 218 & 1200 & 1987 \\
7 & trainer 2 & surface lift & 2206 & 2264 & 218 & 1200 & 1987 \\
8 & laxeralp 1 & surface lift & 2135 & 2179 & 396 & 1100 & 1981 \\
9 & laxeralp 2 & surface lift & 2179 & 2280 & 394 & 1214 & 1981 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& name \\
\midrule
0 & trainer 1 \\
1 & trainer 2 \\
2 & laxeralp 1 \\
3 & laxeralp 2 \\
\bottomrule
\end{tabular}
| select name where type = 'surface lift' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>name</th>
<th>type</th>
<th>elevation (ground station)</th>
<th>elevation (mountain station)</th>
<th>slope length</th>
<th>capacity (persons/hour)</th>
<th>construction year</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>fiesch- -alp 1+2</td>
<td>cable car</td>
<td>1074</td>
<td>2227</td>
<td>2940</td>
<td>800</td>
<td>1973</td>
</tr>
<tr>
<th>1</th>
<td>fiesch- -alp 3+4</td>
<td>cable car</td>
<td>1071</td>
<td>2221</td>
<td>2937</td>
<td>270</td>
<td>1966</td>
</tr>
<tr>
<th>2</th>
<td>fiescheralp-eggishorn</td>
<td>cable car</td>
<td>2225</td>
<td>2879</td>
<td>1836</td>
<td>495</td>
<td>1968</td>
</tr>
<tr>
<th>3</th>
<td>heimat</td>
<td>chairlift</td>
<td>1858</td>
<td>2301</td>
<td>1144</td>
<td>1400</td>
<td>2000</td>
</tr>
<tr>
<th>4</th>
<td>talegga</td>
<td>chairlift</td>
<td>2208</td>
<td>2727</td>
<td>1782</td>
<td>2200</td>
<td>2010</td>
</tr>
<tr>
<th>5</th>
<td>flesch</td>
<td>chairlift</td>
<td>2208</td>
<td>2630</td>
<td>1357</td>
<td>2400</td>
<td>1993</td>
</tr>
<tr>
<th>6</th>
<td>trainer 1</td>
<td>surface lift</td>
<td>2206</td>
<td>2264</td>
<td>218</td>
<td>1200</td>
<td>1987</td>
</tr>
<tr>
<th>7</th>
<td>trainer 2</td>
<td>surface lift</td>
<td>2206</td>
<td>2264</td>
<td>218</td>
<td>1200</td>
<td>1987</td>
</tr>
<tr>
<th>8</th>
<td>laxeralp 1</td>
<td>surface lift</td>
<td>2135</td>
<td>2179</td>
<td>396</td>
<td>1100</td>
<td>1981</td>
</tr>
<tr>
<th>9</th>
<td>laxeralp 2</td>
<td>surface lift</td>
<td>2179</td>
<td>2280</td>
<td>394</td>
<td>1214</td>
<td>1981</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>name</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>trainer 1</td>
</tr>
<tr>
<th>1</th>
<td>trainer 2</td>
</tr>
<tr>
<th>2</th>
<td>laxeralp 1</td>
</tr>
<tr>
<th>3</th>
<td>laxeralp 2</td>
</tr>
</tbody>
</table> | select name where type = 'surface lift' <table_name> : table | | name | type | elevation (ground station) | elevation (mountain station) | slope length | capacity (persons/hour) | construction year |
|---:|:----------------------|:-------------|-----------------------------:|-------------------------------:|---------------:|--------------------------:|--------------------:|
| 0 | fiesch- -alp 1+2 | cable car | 1074 | 2227 | 2940 | 800 | 1973 |
| 1 | fiesch- -alp 3+4 | cable car | 1071 | 2221 | 2937 | 270 | 1966 |
| 2 | fiescheralp-eggishorn | cable car | 2225 | 2879 | 1836 | 495 | 1968 |
| 3 | heimat | chairlift | 1858 | 2301 | 1144 | 1400 | 2000 |
| 4 | talegga | chairlift | 2208 | 2727 | 1782 | 2200 | 2010 |
| 5 | flesch | chairlift | 2208 | 2630 | 1357 | 2400 | 1993 |
| 6 | trainer 1 | surface lift | 2206 | 2264 | 218 | 1200 | 1987 |
| 7 | trainer 2 | surface lift | 2206 | 2264 | 218 | 1200 | 1987 |
| 8 | laxeralp 1 | surface lift | 2135 | 2179 | 396 | 1100 | 1981 |
| 9 | laxeralp 2 | surface lift | 2179 | 2280 | 394 | 1214 | 1981 | | | | name |
|---:|:-----------|
| 0 | trainer 1 |
| 1 | trainer 2 |
| 2 | laxeralp 1 |
| 3 | laxeralp 2 | | [
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select round 3 where city = 'stockholm' col : city | country (noc) | round 1 | run-off | round 3 | round 4 | round 5 row 1 : athens | greece | 32 | none | 38 | 52 | 66 row 2 : rome | italy | 23 | none | 28 | 35 | 41 row 3 : cape town | south africa | 16 | 62 | 22 | 20 | none row 4 : stockholm | sweden | 20 | none | 19 | none | none row 5 : buenos aires | argentina | 16 | 44 | none | none | none | col : round 3 row 1 : 19 | select round 3 where city = 'stockholm' <table_name> : table \begin{tabular}{llllllll}
\toprule
& city & country (noc) & round 1 & run-off & round 3 & round 4 & round 5 \\
\midrule
0 & athens & greece & 32 & none & 38 & 52 & 66 \\
1 & rome & italy & 23 & none & 28 & 35 & 41 \\
2 & cape town & south africa & 16 & 62 & 22 & 20 & none \\
3 & stockholm & sweden & 20 & none & 19 & none & none \\
4 & buenos aires & argentina & 16 & 44 & none & none & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& round 3 \\
\midrule
0 & 19 \\
\bottomrule
\end{tabular}
| select round 3 where city = 'stockholm' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>city</th>
<th>country (noc)</th>
<th>round 1</th>
<th>run-off</th>
<th>round 3</th>
<th>round 4</th>
<th>round 5</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>athens</td>
<td>greece</td>
<td>32</td>
<td>none</td>
<td>38</td>
<td>52</td>
<td>66</td>
</tr>
<tr>
<th>1</th>
<td>rome</td>
<td>italy</td>
<td>23</td>
<td>none</td>
<td>28</td>
<td>35</td>
<td>41</td>
</tr>
<tr>
<th>2</th>
<td>cape town</td>
<td>south africa</td>
<td>16</td>
<td>62</td>
<td>22</td>
<td>20</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>stockholm</td>
<td>sweden</td>
<td>20</td>
<td>none</td>
<td>19</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>buenos aires</td>
<td>argentina</td>
<td>16</td>
<td>44</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>round 3</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>19</td>
</tr>
</tbody>
</table> | select round 3 where city = 'stockholm' <table_name> : table | | city | country (noc) | round 1 | run-off | round 3 | round 4 | round 5 |
|---:|:-------------|:----------------|----------:|:----------|:----------|:----------|:----------|
| 0 | athens | greece | 32 | none | 38 | 52 | 66 |
| 1 | rome | italy | 23 | none | 28 | 35 | 41 |
| 2 | cape town | south africa | 16 | 62 | 22 | 20 | none |
| 3 | stockholm | sweden | 20 | none | 19 | none | none |
| 4 | buenos aires | argentina | 16 | 44 | none | none | none | | | | round 3 |
|---:|----------:|
| 0 | 19 | | [
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] |
select games in campaign where position = 'df' col : name | position | birth date/age at start of campaign | games in campaign | club row 1 : erich burgener | gk | february 15, 1951 (age 31) | 3 | servette row 2 : roger berbig | gk | november 6, 1954 (age 27) | 3 | grasshoppers row 3 : charly in-albon | df | june 23, 1957 (age 25) | 4 | grasshoppers row 4 : heinz ludi | df | october 8, 1958 (age 23) | 4 | fc zurich row 5 : beat rietmann | df | october 24, 1961 (age 20) | 2 | fc st. gallen row 6 : andy egli | df | may 8, 1958 (age 24) | 6 | grasshoppers row 7 : alain geiger | df | november 5, 1960 (age 21) | 4 | servette row 8 : marco schallibaum | df | april 6, 1962 (age 20) | 1 | grasshoppers row 9 : marcel koller | df | november 11, 1960 (age 21) | 2 (both as sub) | grasshoppers row 10 : rene botteron | mf | october 17, 1954 (age 27) | 1 | 1. fc nuremberg fc basel row 11 : heinz hermann | mf | march 28, 1958 (age 24) | 6 | grasshoppers row 12 : roger wehrli | mf | march 18, 1956 (age 26) | 6 | grasshoppers row 13 : lucien favre | mf | november 2, 1957 (age 24) | 5 (1 as sub) | toulouse servette row 14 : alfred scheiwiler | mf | february 4, 1956 (age 26) | 1 | lausanne row 15 : erni maissen | mf | january 1, 1958 (age 24) | 1 (as sub) | fc zurich fc basel row 16 : michel decastel | mf | october 22, 1955 (age 26) | 3 | servette row 17 : ruedi elsener | mf | february 18, 1953 (age 29) | 4 | none row 18 : umberto barberis | mf | june 5, 1952 (age 30) | 3 (1 as sub) | as monaco servette row 19 : andre ladner | mf | may 20, 1962 (age 20) | 1 | grasshoppers row 20 : jean-paul brigger | st | december 14, 1957 (age 24) | 2 (1 as sub) | servette row 21 : hans-peter zwicker | st | april 7, 1960 (age 22) | 2 (both as sub) | fc zurich lausanne row 22 : claudio sulser | st | october 8, 1955 (age 26) | 5 | grasshoppers row 23 : beat sutter | st | december 12, 1962 (age 19) | 2 (1 as sub) | fc basel row 24 : raimondo ponte | st | april 4, 1955 (age 27) | 4 | grasshoppers row 25 : manfred braschler | st | october 8, 1958 (age 23) | 2 | fc st. gallen | col : games in campaign row 1 : 4 row 2 : 4 row 3 : 2 row 4 : 6 row 5 : 4 row 6 : 1 row 7 : 2 (both as sub) | select games in campaign where position = 'df' <table_name> : table \begin{tabular}{llllll}
\toprule
& name & position & birth date/age at start of campaign & games in campaign & club \\
\midrule
0 & erich burgener & gk & february 15, 1951 (age 31) & 3 & servette \\
1 & roger berbig & gk & november 6, 1954 (age 27) & 3 & grasshoppers \\
2 & charly in-albon & df & june 23, 1957 (age 25) & 4 & grasshoppers \\
3 & heinz ludi & df & october 8, 1958 (age 23) & 4 & fc zurich \\
4 & beat rietmann & df & october 24, 1961 (age 20) & 2 & fc st. gallen \\
5 & andy egli & df & may 8, 1958 (age 24) & 6 & grasshoppers \\
6 & alain geiger & df & november 5, 1960 (age 21) & 4 & servette \\
7 & marco schallibaum & df & april 6, 1962 (age 20) & 1 & grasshoppers \\
8 & marcel koller & df & november 11, 1960 (age 21) & 2 (both as sub) & grasshoppers \\
9 & rene botteron & mf & october 17, 1954 (age 27) & 1 & 1. fc nuremberg fc basel \\
10 & heinz hermann & mf & march 28, 1958 (age 24) & 6 & grasshoppers \\
11 & roger wehrli & mf & march 18, 1956 (age 26) & 6 & grasshoppers \\
12 & lucien favre & mf & november 2, 1957 (age 24) & 5 (1 as sub) & toulouse servette \\
13 & alfred scheiwiler & mf & february 4, 1956 (age 26) & 1 & lausanne \\
14 & erni maissen & mf & january 1, 1958 (age 24) & 1 (as sub) & fc zurich fc basel \\
15 & michel decastel & mf & october 22, 1955 (age 26) & 3 & servette \\
16 & ruedi elsener & mf & february 18, 1953 (age 29) & 4 & none \\
17 & umberto barberis & mf & june 5, 1952 (age 30) & 3 (1 as sub) & as monaco servette \\
18 & andre ladner & mf & may 20, 1962 (age 20) & 1 & grasshoppers \\
19 & jean-paul brigger & st & december 14, 1957 (age 24) & 2 (1 as sub) & servette \\
20 & hans-peter zwicker & st & april 7, 1960 (age 22) & 2 (both as sub) & fc zurich lausanne \\
21 & claudio sulser & st & october 8, 1955 (age 26) & 5 & grasshoppers \\
22 & beat sutter & st & december 12, 1962 (age 19) & 2 (1 as sub) & fc basel \\
23 & raimondo ponte & st & april 4, 1955 (age 27) & 4 & grasshoppers \\
24 & manfred braschler & st & october 8, 1958 (age 23) & 2 & fc st. gallen \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& games in campaign \\
\midrule
0 & 4 \\
1 & 4 \\
2 & 2 \\
3 & 6 \\
4 & 4 \\
5 & 1 \\
6 & 2 (both as sub) \\
\bottomrule
\end{tabular}
| select games in campaign where position = 'df' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>name</th>
<th>position</th>
<th>birth date/age at start of campaign</th>
<th>games in campaign</th>
<th>club</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>erich burgener</td>
<td>gk</td>
<td>february 15, 1951 (age 31)</td>
<td>3</td>
<td>servette</td>
</tr>
<tr>
<th>1</th>
<td>roger berbig</td>
<td>gk</td>
<td>november 6, 1954 (age 27)</td>
<td>3</td>
<td>grasshoppers</td>
</tr>
<tr>
<th>2</th>
<td>charly in-albon</td>
<td>df</td>
<td>june 23, 1957 (age 25)</td>
<td>4</td>
<td>grasshoppers</td>
</tr>
<tr>
<th>3</th>
<td>heinz ludi</td>
<td>df</td>
<td>october 8, 1958 (age 23)</td>
<td>4</td>
<td>fc zurich</td>
</tr>
<tr>
<th>4</th>
<td>beat rietmann</td>
<td>df</td>
<td>october 24, 1961 (age 20)</td>
<td>2</td>
<td>fc st. gallen</td>
</tr>
<tr>
<th>5</th>
<td>andy egli</td>
<td>df</td>
<td>may 8, 1958 (age 24)</td>
<td>6</td>
<td>grasshoppers</td>
</tr>
<tr>
<th>6</th>
<td>alain geiger</td>
<td>df</td>
<td>november 5, 1960 (age 21)</td>
<td>4</td>
<td>servette</td>
</tr>
<tr>
<th>7</th>
<td>marco schallibaum</td>
<td>df</td>
<td>april 6, 1962 (age 20)</td>
<td>1</td>
<td>grasshoppers</td>
</tr>
<tr>
<th>8</th>
<td>marcel koller</td>
<td>df</td>
<td>november 11, 1960 (age 21)</td>
<td>2 (both as sub)</td>
<td>grasshoppers</td>
</tr>
<tr>
<th>9</th>
<td>rene botteron</td>
<td>mf</td>
<td>october 17, 1954 (age 27)</td>
<td>1</td>
<td>1. fc nuremberg fc basel</td>
</tr>
<tr>
<th>10</th>
<td>heinz hermann</td>
<td>mf</td>
<td>march 28, 1958 (age 24)</td>
<td>6</td>
<td>grasshoppers</td>
</tr>
<tr>
<th>11</th>
<td>roger wehrli</td>
<td>mf</td>
<td>march 18, 1956 (age 26)</td>
<td>6</td>
<td>grasshoppers</td>
</tr>
<tr>
<th>12</th>
<td>lucien favre</td>
<td>mf</td>
<td>november 2, 1957 (age 24)</td>
<td>5 (1 as sub)</td>
<td>toulouse servette</td>
</tr>
<tr>
<th>13</th>
<td>alfred scheiwiler</td>
<td>mf</td>
<td>february 4, 1956 (age 26)</td>
<td>1</td>
<td>lausanne</td>
</tr>
<tr>
<th>14</th>
<td>erni maissen</td>
<td>mf</td>
<td>january 1, 1958 (age 24)</td>
<td>1 (as sub)</td>
<td>fc zurich fc basel</td>
</tr>
<tr>
<th>15</th>
<td>michel decastel</td>
<td>mf</td>
<td>october 22, 1955 (age 26)</td>
<td>3</td>
<td>servette</td>
</tr>
<tr>
<th>16</th>
<td>ruedi elsener</td>
<td>mf</td>
<td>february 18, 1953 (age 29)</td>
<td>4</td>
<td>none</td>
</tr>
<tr>
<th>17</th>
<td>umberto barberis</td>
<td>mf</td>
<td>june 5, 1952 (age 30)</td>
<td>3 (1 as sub)</td>
<td>as monaco servette</td>
</tr>
<tr>
<th>18</th>
<td>andre ladner</td>
<td>mf</td>
<td>may 20, 1962 (age 20)</td>
<td>1</td>
<td>grasshoppers</td>
</tr>
<tr>
<th>19</th>
<td>jean-paul brigger</td>
<td>st</td>
<td>december 14, 1957 (age 24)</td>
<td>2 (1 as sub)</td>
<td>servette</td>
</tr>
<tr>
<th>20</th>
<td>hans-peter zwicker</td>
<td>st</td>
<td>april 7, 1960 (age 22)</td>
<td>2 (both as sub)</td>
<td>fc zurich lausanne</td>
</tr>
<tr>
<th>21</th>
<td>claudio sulser</td>
<td>st</td>
<td>october 8, 1955 (age 26)</td>
<td>5</td>
<td>grasshoppers</td>
</tr>
<tr>
<th>22</th>
<td>beat sutter</td>
<td>st</td>
<td>december 12, 1962 (age 19)</td>
<td>2 (1 as sub)</td>
<td>fc basel</td>
</tr>
<tr>
<th>23</th>
<td>raimondo ponte</td>
<td>st</td>
<td>april 4, 1955 (age 27)</td>
<td>4</td>
<td>grasshoppers</td>
</tr>
<tr>
<th>24</th>
<td>manfred braschler</td>
<td>st</td>
<td>october 8, 1958 (age 23)</td>
<td>2</td>
<td>fc st. gallen</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>games in campaign</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>4</td>
</tr>
<tr>
<th>1</th>
<td>4</td>
</tr>
<tr>
<th>2</th>
<td>2</td>
</tr>
<tr>
<th>3</th>
<td>6</td>
</tr>
<tr>
<th>4</th>
<td>4</td>
</tr>
<tr>
<th>5</th>
<td>1</td>
</tr>
<tr>
<th>6</th>
<td>2 (both as sub)</td>
</tr>
</tbody>
</table> | select games in campaign where position = 'df' <table_name> : table | | name | position | birth date/age at start of campaign | games in campaign | club |
|---:|:-------------------|:-----------|:--------------------------------------|:--------------------|:-------------------------|
| 0 | erich burgener | gk | february 15, 1951 (age 31) | 3 | servette |
| 1 | roger berbig | gk | november 6, 1954 (age 27) | 3 | grasshoppers |
| 2 | charly in-albon | df | june 23, 1957 (age 25) | 4 | grasshoppers |
| 3 | heinz ludi | df | october 8, 1958 (age 23) | 4 | fc zurich |
| 4 | beat rietmann | df | october 24, 1961 (age 20) | 2 | fc st. gallen |
| 5 | andy egli | df | may 8, 1958 (age 24) | 6 | grasshoppers |
| 6 | alain geiger | df | november 5, 1960 (age 21) | 4 | servette |
| 7 | marco schallibaum | df | april 6, 1962 (age 20) | 1 | grasshoppers |
| 8 | marcel koller | df | november 11, 1960 (age 21) | 2 (both as sub) | grasshoppers |
| 9 | rene botteron | mf | october 17, 1954 (age 27) | 1 | 1. fc nuremberg fc basel |
| 10 | heinz hermann | mf | march 28, 1958 (age 24) | 6 | grasshoppers |
| 11 | roger wehrli | mf | march 18, 1956 (age 26) | 6 | grasshoppers |
| 12 | lucien favre | mf | november 2, 1957 (age 24) | 5 (1 as sub) | toulouse servette |
| 13 | alfred scheiwiler | mf | february 4, 1956 (age 26) | 1 | lausanne |
| 14 | erni maissen | mf | january 1, 1958 (age 24) | 1 (as sub) | fc zurich fc basel |
| 15 | michel decastel | mf | october 22, 1955 (age 26) | 3 | servette |
| 16 | ruedi elsener | mf | february 18, 1953 (age 29) | 4 | none |
| 17 | umberto barberis | mf | june 5, 1952 (age 30) | 3 (1 as sub) | as monaco servette |
| 18 | andre ladner | mf | may 20, 1962 (age 20) | 1 | grasshoppers |
| 19 | jean-paul brigger | st | december 14, 1957 (age 24) | 2 (1 as sub) | servette |
| 20 | hans-peter zwicker | st | april 7, 1960 (age 22) | 2 (both as sub) | fc zurich lausanne |
| 21 | claudio sulser | st | october 8, 1955 (age 26) | 5 | grasshoppers |
| 22 | beat sutter | st | december 12, 1962 (age 19) | 2 (1 as sub) | fc basel |
| 23 | raimondo ponte | st | april 4, 1955 (age 27) | 4 | grasshoppers |
| 24 | manfred braschler | st | october 8, 1958 (age 23) | 2 | fc st. gallen | | | | games in campaign |
|---:|:--------------------|
| 0 | 4 |
| 1 | 4 |
| 2 | 2 |
| 3 | 6 |
| 4 | 4 |
| 5 | 1 |
| 6 | 2 (both as sub) | | [
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select count ( * ) where rnd = 403 and winning driver = 1082 col : date | rnd | race name | circuit | city/location | pole position | winning driver | winning team | report row 1 : 1 | april 8 | autoworks 200 | phoenix international raceway | phoenix, arizona | rick mears | rick mears | team penske | report row 2 : 2 | april 22 | toyota long beach grand prix | streets of long beach | long beach, california | al unser, jr | al unser, jr | galles-kraco racing | report row 3 : 3 | may 27 | 74th indianapolis 500 | indianapolis motor speedway | speedway, indiana | emerson fittipaldi | arie luyendyk | doug shierson racing | report row 4 : 4 | june 3 | miller genuine draft 200 | milwaukee mile | west allis, wisconsin | rick mears | al unser, jr | galles-kraco racing | report row 5 : 5 | june 17 | valvoline grand prix of detroit | streets of detroit | detroit, michigan | michael andretti | michael andretti | newman/haas racing | report row 6 : 6 | june 24 | budweiser/g.i.joe's 200 | portland international raceway | portland, oregon | danny sullivan | michael andretti | newman/haas racing | report row 7 : 7 | july 8 | budweiser grand prix of cleveland | cleveland burke lakefront airport | cleveland, ohio | rick mears | danny sullivan | team penske | report row 8 : 8 | july 15 | marlboro grand prix at the meadowlands | meadowlands sports complex | east rutherford, new jersey | michael andretti | michael andretti | newman/haas racing | report row 9 : 9 | july 22 | molson indy toronto | exhibition place | toronto, ontario | danny sullivan | al unser, jr | galles-kraco racing | report row 10 : 10 | august 5 | marlboro 500 | michigan international speedway | brooklyn, michigan | emerson fittipaldi | al unser, jr | galles-kraco racing | report row 11 : 11 | august 26 | texaco/havoline grand prix of denver | streets of denver | denver, colorado | teo fabi | al unser, jr | galles-kraco racing | report row 12 : 12 | september 2 | molson indy vancouver | streets of vancouver | vancouver, british columbia | michael andretti | al unser, jr | galles-kraco racing | report row 13 : 13 | september 16 | red roof inns 200 | mid-ohio sports car course | lexington, ohio | michael andretti | michael andretti | newman/haas racing | report row 14 : 14 | september 23 | texaco/havoline 200 | road america | elkhart lake, wisconsin | danny sullivan | michael andretti | newman/haas racing | report row 15 : nc | october 6 | marlboro challenge | nazareth speedway | nazareth, pennsylvania | michael andretti | rick mears | team penske | report row 16 : 15 | october 7 | bosch spark plug grand prix | nazareth speedway | nazareth, pennsylvania | bobby rahal | emerson fittipaldi | team penske | report row 17 : 16 | october 21 | champion spark plug 300k | laguna seca raceway | monterey, california | danny sullivan | danny sullivan | team penske | report | col : count ( "*" ) row 1 : 0 | select count ( * ) where rnd = 403 and winning driver = 1082 <table_name> : table \begin{tabular}{llllllllll}
\toprule
& date & rnd & race name & circuit & city/location & pole position & winning driver & winning team & report \\
\midrule
0 & 1 & april 8 & autoworks 200 & phoenix international raceway & phoenix, arizona & rick mears & rick mears & team penske & report \\
1 & 2 & april 22 & toyota long beach grand prix & streets of long beach & long beach, california & al unser, jr & al unser, jr & galles-kraco racing & report \\
2 & 3 & may 27 & 74th indianapolis 500 & indianapolis motor speedway & speedway, indiana & emerson fittipaldi & arie luyendyk & doug shierson racing & report \\
3 & 4 & june 3 & miller genuine draft 200 & milwaukee mile & west allis, wisconsin & rick mears & al unser, jr & galles-kraco racing & report \\
4 & 5 & june 17 & valvoline grand prix of detroit & streets of detroit & detroit, michigan & michael andretti & michael andretti & newman/haas racing & report \\
5 & 6 & june 24 & budweiser/g.i.joe's 200 & portland international raceway & portland, oregon & danny sullivan & michael andretti & newman/haas racing & report \\
6 & 7 & july 8 & budweiser grand prix of cleveland & cleveland burke lakefront airport & cleveland, ohio & rick mears & danny sullivan & team penske & report \\
7 & 8 & july 15 & marlboro grand prix at the meadowlands & meadowlands sports complex & east rutherford, new jersey & michael andretti & michael andretti & newman/haas racing & report \\
8 & 9 & july 22 & molson indy toronto & exhibition place & toronto, ontario & danny sullivan & al unser, jr & galles-kraco racing & report \\
9 & 10 & august 5 & marlboro 500 & michigan international speedway & brooklyn, michigan & emerson fittipaldi & al unser, jr & galles-kraco racing & report \\
10 & 11 & august 26 & texaco/havoline grand prix of denver & streets of denver & denver, colorado & teo fabi & al unser, jr & galles-kraco racing & report \\
11 & 12 & september 2 & molson indy vancouver & streets of vancouver & vancouver, british columbia & michael andretti & al unser, jr & galles-kraco racing & report \\
12 & 13 & september 16 & red roof inns 200 & mid-ohio sports car course & lexington, ohio & michael andretti & michael andretti & newman/haas racing & report \\
13 & 14 & september 23 & texaco/havoline 200 & road america & elkhart lake, wisconsin & danny sullivan & michael andretti & newman/haas racing & report \\
14 & nc & october 6 & marlboro challenge & nazareth speedway & nazareth, pennsylvania & michael andretti & rick mears & team penske & report \\
15 & 15 & october 7 & bosch spark plug grand prix & nazareth speedway & nazareth, pennsylvania & bobby rahal & emerson fittipaldi & team penske & report \\
16 & 16 & october 21 & champion spark plug 300k & laguna seca raceway & monterey, california & danny sullivan & danny sullivan & team penske & report \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( * ) where rnd = 403 and winning driver = 1082 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>date</th>
<th>rnd</th>
<th>race name</th>
<th>circuit</th>
<th>city/location</th>
<th>pole position</th>
<th>winning driver</th>
<th>winning team</th>
<th>report</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>april 8</td>
<td>autoworks 200</td>
<td>phoenix international raceway</td>
<td>phoenix, arizona</td>
<td>rick mears</td>
<td>rick mears</td>
<td>team penske</td>
<td>report</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>april 22</td>
<td>toyota long beach grand prix</td>
<td>streets of long beach</td>
<td>long beach, california</td>
<td>al unser, jr</td>
<td>al unser, jr</td>
<td>galles-kraco racing</td>
<td>report</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>may 27</td>
<td>74th indianapolis 500</td>
<td>indianapolis motor speedway</td>
<td>speedway, indiana</td>
<td>emerson fittipaldi</td>
<td>arie luyendyk</td>
<td>doug shierson racing</td>
<td>report</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>june 3</td>
<td>miller genuine draft 200</td>
<td>milwaukee mile</td>
<td>west allis, wisconsin</td>
<td>rick mears</td>
<td>al unser, jr</td>
<td>galles-kraco racing</td>
<td>report</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>june 17</td>
<td>valvoline grand prix of detroit</td>
<td>streets of detroit</td>
<td>detroit, michigan</td>
<td>michael andretti</td>
<td>michael andretti</td>
<td>newman/haas racing</td>
<td>report</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>june 24</td>
<td>budweiser/g.i.joe's 200</td>
<td>portland international raceway</td>
<td>portland, oregon</td>
<td>danny sullivan</td>
<td>michael andretti</td>
<td>newman/haas racing</td>
<td>report</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>july 8</td>
<td>budweiser grand prix of cleveland</td>
<td>cleveland burke lakefront airport</td>
<td>cleveland, ohio</td>
<td>rick mears</td>
<td>danny sullivan</td>
<td>team penske</td>
<td>report</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>july 15</td>
<td>marlboro grand prix at the meadowlands</td>
<td>meadowlands sports complex</td>
<td>east rutherford, new jersey</td>
<td>michael andretti</td>
<td>michael andretti</td>
<td>newman/haas racing</td>
<td>report</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>july 22</td>
<td>molson indy toronto</td>
<td>exhibition place</td>
<td>toronto, ontario</td>
<td>danny sullivan</td>
<td>al unser, jr</td>
<td>galles-kraco racing</td>
<td>report</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>august 5</td>
<td>marlboro 500</td>
<td>michigan international speedway</td>
<td>brooklyn, michigan</td>
<td>emerson fittipaldi</td>
<td>al unser, jr</td>
<td>galles-kraco racing</td>
<td>report</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>august 26</td>
<td>texaco/havoline grand prix of denver</td>
<td>streets of denver</td>
<td>denver, colorado</td>
<td>teo fabi</td>
<td>al unser, jr</td>
<td>galles-kraco racing</td>
<td>report</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>september 2</td>
<td>molson indy vancouver</td>
<td>streets of vancouver</td>
<td>vancouver, british columbia</td>
<td>michael andretti</td>
<td>al unser, jr</td>
<td>galles-kraco racing</td>
<td>report</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>september 16</td>
<td>red roof inns 200</td>
<td>mid-ohio sports car course</td>
<td>lexington, ohio</td>
<td>michael andretti</td>
<td>michael andretti</td>
<td>newman/haas racing</td>
<td>report</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>september 23</td>
<td>texaco/havoline 200</td>
<td>road america</td>
<td>elkhart lake, wisconsin</td>
<td>danny sullivan</td>
<td>michael andretti</td>
<td>newman/haas racing</td>
<td>report</td>
</tr>
<tr>
<th>14</th>
<td>nc</td>
<td>october 6</td>
<td>marlboro challenge</td>
<td>nazareth speedway</td>
<td>nazareth, pennsylvania</td>
<td>michael andretti</td>
<td>rick mears</td>
<td>team penske</td>
<td>report</td>
</tr>
<tr>
<th>15</th>
<td>15</td>
<td>october 7</td>
<td>bosch spark plug grand prix</td>
<td>nazareth speedway</td>
<td>nazareth, pennsylvania</td>
<td>bobby rahal</td>
<td>emerson fittipaldi</td>
<td>team penske</td>
<td>report</td>
</tr>
<tr>
<th>16</th>
<td>16</td>
<td>october 21</td>
<td>champion spark plug 300k</td>
<td>laguna seca raceway</td>
<td>monterey, california</td>
<td>danny sullivan</td>
<td>danny sullivan</td>
<td>team penske</td>
<td>report</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select count ( * ) where rnd = 403 and winning driver = 1082 <table_name> : table | | date | rnd | race name | circuit | city/location | pole position | winning driver | winning team | report |
|---:|:-------|:-------------|:---------------------------------------|:----------------------------------|:----------------------------|:-------------------|:-------------------|:---------------------|:---------|
| 0 | 1 | april 8 | autoworks 200 | phoenix international raceway | phoenix, arizona | rick mears | rick mears | team penske | report |
| 1 | 2 | april 22 | toyota long beach grand prix | streets of long beach | long beach, california | al unser, jr | al unser, jr | galles-kraco racing | report |
| 2 | 3 | may 27 | 74th indianapolis 500 | indianapolis motor speedway | speedway, indiana | emerson fittipaldi | arie luyendyk | doug shierson racing | report |
| 3 | 4 | june 3 | miller genuine draft 200 | milwaukee mile | west allis, wisconsin | rick mears | al unser, jr | galles-kraco racing | report |
| 4 | 5 | june 17 | valvoline grand prix of detroit | streets of detroit | detroit, michigan | michael andretti | michael andretti | newman/haas racing | report |
| 5 | 6 | june 24 | budweiser/g.i.joe's 200 | portland international raceway | portland, oregon | danny sullivan | michael andretti | newman/haas racing | report |
| 6 | 7 | july 8 | budweiser grand prix of cleveland | cleveland burke lakefront airport | cleveland, ohio | rick mears | danny sullivan | team penske | report |
| 7 | 8 | july 15 | marlboro grand prix at the meadowlands | meadowlands sports complex | east rutherford, new jersey | michael andretti | michael andretti | newman/haas racing | report |
| 8 | 9 | july 22 | molson indy toronto | exhibition place | toronto, ontario | danny sullivan | al unser, jr | galles-kraco racing | report |
| 9 | 10 | august 5 | marlboro 500 | michigan international speedway | brooklyn, michigan | emerson fittipaldi | al unser, jr | galles-kraco racing | report |
| 10 | 11 | august 26 | texaco/havoline grand prix of denver | streets of denver | denver, colorado | teo fabi | al unser, jr | galles-kraco racing | report |
| 11 | 12 | september 2 | molson indy vancouver | streets of vancouver | vancouver, british columbia | michael andretti | al unser, jr | galles-kraco racing | report |
| 12 | 13 | september 16 | red roof inns 200 | mid-ohio sports car course | lexington, ohio | michael andretti | michael andretti | newman/haas racing | report |
| 13 | 14 | september 23 | texaco/havoline 200 | road america | elkhart lake, wisconsin | danny sullivan | michael andretti | newman/haas racing | report |
| 14 | nc | october 6 | marlboro challenge | nazareth speedway | nazareth, pennsylvania | michael andretti | rick mears | team penske | report |
| 15 | 15 | october 7 | bosch spark plug grand prix | nazareth speedway | nazareth, pennsylvania | bobby rahal | emerson fittipaldi | team penske | report |
| 16 | 16 | october 21 | champion spark plug 300k | laguna seca raceway | monterey, california | danny sullivan | danny sullivan | team penske | report | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 0 | | [
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2
]
] | [
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select city where rank = 6 col : rank | city | county | state | percentage row 1 : 1 | palisades park | bergen county | new jersey | 36.38% (52% in 2010) row 2 : 2 | cerritos | los angeles county | california | 17.69% row 3 : 3 | la palma | orange county | california | 17.43% row 4 : 4 | leonia | bergen county | new jersey | 17.24% row 5 : 5 | fort lee | bergen county | new jersey | 17.18% row 6 : 6 | ridgefield | bergen county | new jersey | 14.31% row 7 : 7 | closter | bergen county | new jersey | 12.75% row 8 : 8 | norwood | bergen county | new jersey | 12.69% row 9 : 9 | edgewater | bergen county | new jersey | 11.83% row 10 : 10 | englewood cliffs | bergen county | new jersey | 11.76% | col : city row 1 : ridgefield | select city where rank = 6 <table_name> : table \begin{tabular}{llllll}
\toprule
& rank & city & county & state & percentage \\
\midrule
0 & 1 & palisades park & bergen county & new jersey & 36.38% (52% in 2010) \\
1 & 2 & cerritos & los angeles county & california & 17.69% \\
2 & 3 & la palma & orange county & california & 17.43% \\
3 & 4 & leonia & bergen county & new jersey & 17.24% \\
4 & 5 & fort lee & bergen county & new jersey & 17.18% \\
5 & 6 & ridgefield & bergen county & new jersey & 14.31% \\
6 & 7 & closter & bergen county & new jersey & 12.75% \\
7 & 8 & norwood & bergen county & new jersey & 12.69% \\
8 & 9 & edgewater & bergen county & new jersey & 11.83% \\
9 & 10 & englewood cliffs & bergen county & new jersey & 11.76% \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& city \\
\midrule
0 & ridgefield \\
\bottomrule
\end{tabular}
| select city where rank = 6 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>city</th>
<th>county</th>
<th>state</th>
<th>percentage</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>palisades park</td>
<td>bergen county</td>
<td>new jersey</td>
<td>36.38% (52% in 2010)</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>cerritos</td>
<td>los angeles county</td>
<td>california</td>
<td>17.69%</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>la palma</td>
<td>orange county</td>
<td>california</td>
<td>17.43%</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>leonia</td>
<td>bergen county</td>
<td>new jersey</td>
<td>17.24%</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>fort lee</td>
<td>bergen county</td>
<td>new jersey</td>
<td>17.18%</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>ridgefield</td>
<td>bergen county</td>
<td>new jersey</td>
<td>14.31%</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>closter</td>
<td>bergen county</td>
<td>new jersey</td>
<td>12.75%</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>norwood</td>
<td>bergen county</td>
<td>new jersey</td>
<td>12.69%</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>edgewater</td>
<td>bergen county</td>
<td>new jersey</td>
<td>11.83%</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>englewood cliffs</td>
<td>bergen county</td>
<td>new jersey</td>
<td>11.76%</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>city</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>ridgefield</td>
</tr>
</tbody>
</table> | select city where rank = 6 <table_name> : table | | rank | city | county | state | percentage |
|---:|-------:|:-----------------|:-------------------|:-----------|:---------------------|
| 0 | 1 | palisades park | bergen county | new jersey | 36.38% (52% in 2010) |
| 1 | 2 | cerritos | los angeles county | california | 17.69% |
| 2 | 3 | la palma | orange county | california | 17.43% |
| 3 | 4 | leonia | bergen county | new jersey | 17.24% |
| 4 | 5 | fort lee | bergen county | new jersey | 17.18% |
| 5 | 6 | ridgefield | bergen county | new jersey | 14.31% |
| 6 | 7 | closter | bergen county | new jersey | 12.75% |
| 7 | 8 | norwood | bergen county | new jersey | 12.69% |
| 8 | 9 | edgewater | bergen county | new jersey | 11.83% |
| 9 | 10 | englewood cliffs | bergen county | new jersey | 11.76% | | | | city |
|---:|:-----------|
| 0 | ridgefield | | [
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select count ( pos ) where manufacturer = 'tsr-honda' col : pos | rider | manufacturer | time/retired | points row 1 : 1 | loris capirossi | honda | 38:04.730 | 25 row 2 : 2 | valentino rossi | aprilia | 0.18 | 20 row 3 : 3 | jeremy mcwilliams | aprilia | 0.534 | 16 row 4 : 4 | tohru ukawa | honda | 0.537 | 13 row 5 : 5 | shinya nakano | yamaha | 0.742 | 11 row 6 : 6 | ralf waldmann | aprilia | 7.019 | 10 row 7 : 7 | franco battaini | aprilia | 20.889 | 9 row 8 : 8 | stefano perugini | honda | 20.891 | 8 row 9 : 9 | jason vincent | honda | 21.31 | 7 row 10 : 10 | anthony west | tsr-honda | 26.816 | 6 row 11 : 11 | alex hofmann | tsr-honda | 26.933 | 5 row 12 : 12 | sebastian porto | yamaha | 27.054 | 4 row 13 : 13 | tomomi manako | yamaha | 27.903 | 3 row 14 : 14 | masaki tokudome | tsr-honda | 33.161 | 2 row 15 : 15 | jarno janssen | tsr-honda | 56.248 | 1 row 16 : 16 | luca boscoscuro | tsr-honda | 56.432 | none row 17 : 17 | johann stigefelt | yamaha | +1:07.433 | none row 18 : 18 | julien allemand | tsr-honda | +1:16.347 | none row 19 : 19 | fonsi nieto | yamaha | +1:25.622 | none row 20 : 20 | lucas oliver bulto | yamaha | +1:25.758 | none row 21 : 21 | david garcia | yamaha | +1:33.867 | none row 22 : 22 | rudie markink | aprilia | +1:40.280 | none row 23 : 23 | arno visscher | aprilia | +1:40.635 | none row 24 : 24 | henk van de lagemaat | honda | +1 lap | none row 25 : ret | maurice bolwerk | tsr-honda | retirement | none row 26 : ret | andre romein | honda | retirement | none row 27 : ret | roberto rolfo | aprilia | retirement | none row 28 : ret | marcellino lucchi | aprilia | retirement | none | col : count ( "pos" ) row 1 : 7 | select count ( pos ) where manufacturer = 'tsr-honda' <table_name> : table \begin{tabular}{llllll}
\toprule
& pos & rider & manufacturer & time/retired & points \\
\midrule
0 & 1 & loris capirossi & honda & 38:04.730 & 25 \\
1 & 2 & valentino rossi & aprilia & 0.18 & 20 \\
2 & 3 & jeremy mcwilliams & aprilia & 0.534 & 16 \\
3 & 4 & tohru ukawa & honda & 0.537 & 13 \\
4 & 5 & shinya nakano & yamaha & 0.742 & 11 \\
5 & 6 & ralf waldmann & aprilia & 7.019 & 10 \\
6 & 7 & franco battaini & aprilia & 20.889 & 9 \\
7 & 8 & stefano perugini & honda & 20.891 & 8 \\
8 & 9 & jason vincent & honda & 21.31 & 7 \\
9 & 10 & anthony west & tsr-honda & 26.816 & 6 \\
10 & 11 & alex hofmann & tsr-honda & 26.933 & 5 \\
11 & 12 & sebastian porto & yamaha & 27.054 & 4 \\
12 & 13 & tomomi manako & yamaha & 27.903 & 3 \\
13 & 14 & masaki tokudome & tsr-honda & 33.161 & 2 \\
14 & 15 & jarno janssen & tsr-honda & 56.248 & 1 \\
15 & 16 & luca boscoscuro & tsr-honda & 56.432 & none \\
16 & 17 & johann stigefelt & yamaha & +1:07.433 & none \\
17 & 18 & julien allemand & tsr-honda & +1:16.347 & none \\
18 & 19 & fonsi nieto & yamaha & +1:25.622 & none \\
19 & 20 & lucas oliver bulto & yamaha & +1:25.758 & none \\
20 & 21 & david garcia & yamaha & +1:33.867 & none \\
21 & 22 & rudie markink & aprilia & +1:40.280 & none \\
22 & 23 & arno visscher & aprilia & +1:40.635 & none \\
23 & 24 & henk van de lagemaat & honda & +1 lap & none \\
24 & ret & maurice bolwerk & tsr-honda & retirement & none \\
25 & ret & andre romein & honda & retirement & none \\
26 & ret & roberto rolfo & aprilia & retirement & none \\
27 & ret & marcellino lucchi & aprilia & retirement & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "pos" ) \\
\midrule
0 & 7 \\
\bottomrule
\end{tabular}
| select count ( pos ) where manufacturer = 'tsr-honda' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>pos</th>
<th>rider</th>
<th>manufacturer</th>
<th>time/retired</th>
<th>points</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>loris capirossi</td>
<td>honda</td>
<td>38:04.730</td>
<td>25</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>valentino rossi</td>
<td>aprilia</td>
<td>0.18</td>
<td>20</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>jeremy mcwilliams</td>
<td>aprilia</td>
<td>0.534</td>
<td>16</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>tohru ukawa</td>
<td>honda</td>
<td>0.537</td>
<td>13</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>shinya nakano</td>
<td>yamaha</td>
<td>0.742</td>
<td>11</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>ralf waldmann</td>
<td>aprilia</td>
<td>7.019</td>
<td>10</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>franco battaini</td>
<td>aprilia</td>
<td>20.889</td>
<td>9</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>stefano perugini</td>
<td>honda</td>
<td>20.891</td>
<td>8</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>jason vincent</td>
<td>honda</td>
<td>21.31</td>
<td>7</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>anthony west</td>
<td>tsr-honda</td>
<td>26.816</td>
<td>6</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>alex hofmann</td>
<td>tsr-honda</td>
<td>26.933</td>
<td>5</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>sebastian porto</td>
<td>yamaha</td>
<td>27.054</td>
<td>4</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>tomomi manako</td>
<td>yamaha</td>
<td>27.903</td>
<td>3</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>masaki tokudome</td>
<td>tsr-honda</td>
<td>33.161</td>
<td>2</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>jarno janssen</td>
<td>tsr-honda</td>
<td>56.248</td>
<td>1</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>luca boscoscuro</td>
<td>tsr-honda</td>
<td>56.432</td>
<td>none</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>johann stigefelt</td>
<td>yamaha</td>
<td>+1:07.433</td>
<td>none</td>
</tr>
<tr>
<th>17</th>
<td>18</td>
<td>julien allemand</td>
<td>tsr-honda</td>
<td>+1:16.347</td>
<td>none</td>
</tr>
<tr>
<th>18</th>
<td>19</td>
<td>fonsi nieto</td>
<td>yamaha</td>
<td>+1:25.622</td>
<td>none</td>
</tr>
<tr>
<th>19</th>
<td>20</td>
<td>lucas oliver bulto</td>
<td>yamaha</td>
<td>+1:25.758</td>
<td>none</td>
</tr>
<tr>
<th>20</th>
<td>21</td>
<td>david garcia</td>
<td>yamaha</td>
<td>+1:33.867</td>
<td>none</td>
</tr>
<tr>
<th>21</th>
<td>22</td>
<td>rudie markink</td>
<td>aprilia</td>
<td>+1:40.280</td>
<td>none</td>
</tr>
<tr>
<th>22</th>
<td>23</td>
<td>arno visscher</td>
<td>aprilia</td>
<td>+1:40.635</td>
<td>none</td>
</tr>
<tr>
<th>23</th>
<td>24</td>
<td>henk van de lagemaat</td>
<td>honda</td>
<td>+1 lap</td>
<td>none</td>
</tr>
<tr>
<th>24</th>
<td>ret</td>
<td>maurice bolwerk</td>
<td>tsr-honda</td>
<td>retirement</td>
<td>none</td>
</tr>
<tr>
<th>25</th>
<td>ret</td>
<td>andre romein</td>
<td>honda</td>
<td>retirement</td>
<td>none</td>
</tr>
<tr>
<th>26</th>
<td>ret</td>
<td>roberto rolfo</td>
<td>aprilia</td>
<td>retirement</td>
<td>none</td>
</tr>
<tr>
<th>27</th>
<td>ret</td>
<td>marcellino lucchi</td>
<td>aprilia</td>
<td>retirement</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "pos" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>7</td>
</tr>
</tbody>
</table> | select count ( pos ) where manufacturer = 'tsr-honda' <table_name> : table | | pos | rider | manufacturer | time/retired | points |
|---:|:------|:---------------------|:---------------|:---------------|:---------|
| 0 | 1 | loris capirossi | honda | 38:04.730 | 25 |
| 1 | 2 | valentino rossi | aprilia | 0.18 | 20 |
| 2 | 3 | jeremy mcwilliams | aprilia | 0.534 | 16 |
| 3 | 4 | tohru ukawa | honda | 0.537 | 13 |
| 4 | 5 | shinya nakano | yamaha | 0.742 | 11 |
| 5 | 6 | ralf waldmann | aprilia | 7.019 | 10 |
| 6 | 7 | franco battaini | aprilia | 20.889 | 9 |
| 7 | 8 | stefano perugini | honda | 20.891 | 8 |
| 8 | 9 | jason vincent | honda | 21.31 | 7 |
| 9 | 10 | anthony west | tsr-honda | 26.816 | 6 |
| 10 | 11 | alex hofmann | tsr-honda | 26.933 | 5 |
| 11 | 12 | sebastian porto | yamaha | 27.054 | 4 |
| 12 | 13 | tomomi manako | yamaha | 27.903 | 3 |
| 13 | 14 | masaki tokudome | tsr-honda | 33.161 | 2 |
| 14 | 15 | jarno janssen | tsr-honda | 56.248 | 1 |
| 15 | 16 | luca boscoscuro | tsr-honda | 56.432 | none |
| 16 | 17 | johann stigefelt | yamaha | +1:07.433 | none |
| 17 | 18 | julien allemand | tsr-honda | +1:16.347 | none |
| 18 | 19 | fonsi nieto | yamaha | +1:25.622 | none |
| 19 | 20 | lucas oliver bulto | yamaha | +1:25.758 | none |
| 20 | 21 | david garcia | yamaha | +1:33.867 | none |
| 21 | 22 | rudie markink | aprilia | +1:40.280 | none |
| 22 | 23 | arno visscher | aprilia | +1:40.635 | none |
| 23 | 24 | henk van de lagemaat | honda | +1 lap | none |
| 24 | ret | maurice bolwerk | tsr-honda | retirement | none |
| 25 | ret | andre romein | honda | retirement | none |
| 26 | ret | roberto rolfo | aprilia | retirement | none |
| 27 | ret | marcellino lucchi | aprilia | retirement | none | | | | count ( "pos" ) |
|---:|------------------:|
| 0 | 7 | | [
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select points where points = '25-13' col : position | club | played | points | wins | draws | losses | goals for | goals against | goal difference row 1 : 1 | ue lleida | 38 | 57+19 | 23 | 11 | 4 | 56 | 20 | 36 row 2 : 2 | real valladolid | 38 | 52+14 | 20 | 12 | 6 | 50 | 30 | 20 row 3 : 3 | racing de santander | 38 | 52+14 | 23 | 6 | 9 | 56 | 38 | 18 row 4 : 4 | rcd mallorca | 38 | 50+12 | 21 | 8 | 9 | 57 | 34 | 23 row 5 : 5 | real betis | 38 | 43+5 | 16 | 11 | 11 | 49 | 33 | 16 row 6 : 6 | real madrid b | 38 | 42+4 | 15 | 12 | 11 | 57 | 41 | 16 row 7 : 7 | atletico marbella | 38 | 42+4 | 17 | 8 | 13 | 45 | 41 | 4 row 8 : 8 | barcelona b | 38 | 39+1 | 15 | 9 | 14 | 59 | 55 | 4 row 9 : 9 | cp merida | 38 | 39+1 | 13 | 13 | 12 | 43 | 42 | 1 row 10 : 10 | cd castellon | 38 | 36-2 | 13 | 10 | 15 | 40 | 45 | -5 row 11 : 11 | cd badajoz | 38 | 36-2 | 14 | 8 | 16 | 37 | 36 | 1 row 12 : 12 | sd compostela | 38 | 35-3 | 10 | 15 | 13 | 35 | 39 | -4 row 13 : 13 | villarreal cf | 38 | 34-4 | 13 | 8 | 17 | 38 | 51 | -14 row 14 : 14 | palamos cf | 38 | 33-5 | 12 | 9 | 17 | 33 | 50 | -17 row 15 : 15 | athletic de bilbao b | 38 | 33-5 | 9 | 15 | 14 | 33 | 34 | -1 row 16 : 16 | sd eibar | 38 | 32-6 | 10 | 12 | 16 | 33 | 44 | -11 row 17 : 17 | ue figueres | 38 | 32-6 | 11 | 10 | 17 | 41 | 59 | -18 row 18 : 18 | cd lugo | 38 | 25-13 | 7 | 11 | 20 | 23 | 41 | -18 row 19 : 19 | sestao | 38 | 24-14 | 7 | 10 | 21 | 29 | 54 | -25 row 20 : 20 | ce sabadell fc 1 | 38 | 24-14 | 8 | 8 | 22 | 30 | 57 | -27 | col : points row 1 : 25-13 | select points where points = '25-13' <table_name> : table \begin{tabular}{lllllllllll}
\toprule
& position & club & played & points & wins & draws & losses & goals for & goals against & goal difference \\
\midrule
0 & 1 & ue lleida & 38 & 57+19 & 23 & 11 & 4 & 56 & 20 & 36 \\
1 & 2 & real valladolid & 38 & 52+14 & 20 & 12 & 6 & 50 & 30 & 20 \\
2 & 3 & racing de santander & 38 & 52+14 & 23 & 6 & 9 & 56 & 38 & 18 \\
3 & 4 & rcd mallorca & 38 & 50+12 & 21 & 8 & 9 & 57 & 34 & 23 \\
4 & 5 & real betis & 38 & 43+5 & 16 & 11 & 11 & 49 & 33 & 16 \\
5 & 6 & real madrid b & 38 & 42+4 & 15 & 12 & 11 & 57 & 41 & 16 \\
6 & 7 & atletico marbella & 38 & 42+4 & 17 & 8 & 13 & 45 & 41 & 4 \\
7 & 8 & barcelona b & 38 & 39+1 & 15 & 9 & 14 & 59 & 55 & 4 \\
8 & 9 & cp merida & 38 & 39+1 & 13 & 13 & 12 & 43 & 42 & 1 \\
9 & 10 & cd castellon & 38 & 36-2 & 13 & 10 & 15 & 40 & 45 & -5 \\
10 & 11 & cd badajoz & 38 & 36-2 & 14 & 8 & 16 & 37 & 36 & 1 \\
11 & 12 & sd compostela & 38 & 35-3 & 10 & 15 & 13 & 35 & 39 & -4 \\
12 & 13 & villarreal cf & 38 & 34-4 & 13 & 8 & 17 & 38 & 51 & -14 \\
13 & 14 & palamos cf & 38 & 33-5 & 12 & 9 & 17 & 33 & 50 & -17 \\
14 & 15 & athletic de bilbao b & 38 & 33-5 & 9 & 15 & 14 & 33 & 34 & -1 \\
15 & 16 & sd eibar & 38 & 32-6 & 10 & 12 & 16 & 33 & 44 & -11 \\
16 & 17 & ue figueres & 38 & 32-6 & 11 & 10 & 17 & 41 & 59 & -18 \\
17 & 18 & cd lugo & 38 & 25-13 & 7 & 11 & 20 & 23 & 41 & -18 \\
18 & 19 & sestao & 38 & 24-14 & 7 & 10 & 21 & 29 & 54 & -25 \\
19 & 20 & ce sabadell fc 1 & 38 & 24-14 & 8 & 8 & 22 & 30 & 57 & -27 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& points \\
\midrule
0 & 25-13 \\
\bottomrule
\end{tabular}
| select points where points = '25-13' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>position</th>
<th>club</th>
<th>played</th>
<th>points</th>
<th>wins</th>
<th>draws</th>
<th>losses</th>
<th>goals for</th>
<th>goals against</th>
<th>goal difference</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>ue lleida</td>
<td>38</td>
<td>57+19</td>
<td>23</td>
<td>11</td>
<td>4</td>
<td>56</td>
<td>20</td>
<td>36</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>real valladolid</td>
<td>38</td>
<td>52+14</td>
<td>20</td>
<td>12</td>
<td>6</td>
<td>50</td>
<td>30</td>
<td>20</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>racing de santander</td>
<td>38</td>
<td>52+14</td>
<td>23</td>
<td>6</td>
<td>9</td>
<td>56</td>
<td>38</td>
<td>18</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>rcd mallorca</td>
<td>38</td>
<td>50+12</td>
<td>21</td>
<td>8</td>
<td>9</td>
<td>57</td>
<td>34</td>
<td>23</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>real betis</td>
<td>38</td>
<td>43+5</td>
<td>16</td>
<td>11</td>
<td>11</td>
<td>49</td>
<td>33</td>
<td>16</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>real madrid b</td>
<td>38</td>
<td>42+4</td>
<td>15</td>
<td>12</td>
<td>11</td>
<td>57</td>
<td>41</td>
<td>16</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>atletico marbella</td>
<td>38</td>
<td>42+4</td>
<td>17</td>
<td>8</td>
<td>13</td>
<td>45</td>
<td>41</td>
<td>4</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>barcelona b</td>
<td>38</td>
<td>39+1</td>
<td>15</td>
<td>9</td>
<td>14</td>
<td>59</td>
<td>55</td>
<td>4</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>cp merida</td>
<td>38</td>
<td>39+1</td>
<td>13</td>
<td>13</td>
<td>12</td>
<td>43</td>
<td>42</td>
<td>1</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>cd castellon</td>
<td>38</td>
<td>36-2</td>
<td>13</td>
<td>10</td>
<td>15</td>
<td>40</td>
<td>45</td>
<td>-5</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>cd badajoz</td>
<td>38</td>
<td>36-2</td>
<td>14</td>
<td>8</td>
<td>16</td>
<td>37</td>
<td>36</td>
<td>1</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>sd compostela</td>
<td>38</td>
<td>35-3</td>
<td>10</td>
<td>15</td>
<td>13</td>
<td>35</td>
<td>39</td>
<td>-4</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>villarreal cf</td>
<td>38</td>
<td>34-4</td>
<td>13</td>
<td>8</td>
<td>17</td>
<td>38</td>
<td>51</td>
<td>-14</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>palamos cf</td>
<td>38</td>
<td>33-5</td>
<td>12</td>
<td>9</td>
<td>17</td>
<td>33</td>
<td>50</td>
<td>-17</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>athletic de bilbao b</td>
<td>38</td>
<td>33-5</td>
<td>9</td>
<td>15</td>
<td>14</td>
<td>33</td>
<td>34</td>
<td>-1</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>sd eibar</td>
<td>38</td>
<td>32-6</td>
<td>10</td>
<td>12</td>
<td>16</td>
<td>33</td>
<td>44</td>
<td>-11</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>ue figueres</td>
<td>38</td>
<td>32-6</td>
<td>11</td>
<td>10</td>
<td>17</td>
<td>41</td>
<td>59</td>
<td>-18</td>
</tr>
<tr>
<th>17</th>
<td>18</td>
<td>cd lugo</td>
<td>38</td>
<td>25-13</td>
<td>7</td>
<td>11</td>
<td>20</td>
<td>23</td>
<td>41</td>
<td>-18</td>
</tr>
<tr>
<th>18</th>
<td>19</td>
<td>sestao</td>
<td>38</td>
<td>24-14</td>
<td>7</td>
<td>10</td>
<td>21</td>
<td>29</td>
<td>54</td>
<td>-25</td>
</tr>
<tr>
<th>19</th>
<td>20</td>
<td>ce sabadell fc 1</td>
<td>38</td>
<td>24-14</td>
<td>8</td>
<td>8</td>
<td>22</td>
<td>30</td>
<td>57</td>
<td>-27</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>points</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>25-13</td>
</tr>
</tbody>
</table> | select points where points = '25-13' <table_name> : table | | position | club | played | points | wins | draws | losses | goals for | goals against | goal difference |
|---:|-----------:|:---------------------|---------:|:---------|-------:|--------:|---------:|------------:|----------------:|------------------:|
| 0 | 1 | ue lleida | 38 | 57+19 | 23 | 11 | 4 | 56 | 20 | 36 |
| 1 | 2 | real valladolid | 38 | 52+14 | 20 | 12 | 6 | 50 | 30 | 20 |
| 2 | 3 | racing de santander | 38 | 52+14 | 23 | 6 | 9 | 56 | 38 | 18 |
| 3 | 4 | rcd mallorca | 38 | 50+12 | 21 | 8 | 9 | 57 | 34 | 23 |
| 4 | 5 | real betis | 38 | 43+5 | 16 | 11 | 11 | 49 | 33 | 16 |
| 5 | 6 | real madrid b | 38 | 42+4 | 15 | 12 | 11 | 57 | 41 | 16 |
| 6 | 7 | atletico marbella | 38 | 42+4 | 17 | 8 | 13 | 45 | 41 | 4 |
| 7 | 8 | barcelona b | 38 | 39+1 | 15 | 9 | 14 | 59 | 55 | 4 |
| 8 | 9 | cp merida | 38 | 39+1 | 13 | 13 | 12 | 43 | 42 | 1 |
| 9 | 10 | cd castellon | 38 | 36-2 | 13 | 10 | 15 | 40 | 45 | -5 |
| 10 | 11 | cd badajoz | 38 | 36-2 | 14 | 8 | 16 | 37 | 36 | 1 |
| 11 | 12 | sd compostela | 38 | 35-3 | 10 | 15 | 13 | 35 | 39 | -4 |
| 12 | 13 | villarreal cf | 38 | 34-4 | 13 | 8 | 17 | 38 | 51 | -14 |
| 13 | 14 | palamos cf | 38 | 33-5 | 12 | 9 | 17 | 33 | 50 | -17 |
| 14 | 15 | athletic de bilbao b | 38 | 33-5 | 9 | 15 | 14 | 33 | 34 | -1 |
| 15 | 16 | sd eibar | 38 | 32-6 | 10 | 12 | 16 | 33 | 44 | -11 |
| 16 | 17 | ue figueres | 38 | 32-6 | 11 | 10 | 17 | 41 | 59 | -18 |
| 17 | 18 | cd lugo | 38 | 25-13 | 7 | 11 | 20 | 23 | 41 | -18 |
| 18 | 19 | sestao | 38 | 24-14 | 7 | 10 | 21 | 29 | 54 | -25 |
| 19 | 20 | ce sabadell fc 1 | 38 | 24-14 | 8 | 8 | 22 | 30 | 57 | -27 | | | | points |
|---:|:---------|
| 0 | 25-13 | | [
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select count ( * ) where song = '"dr. bombay.."' col : year | song | us r&b | us rap | album row 1 : 1991 | "mistadobalina" | 55 | 6 | i wish my brother george was here row 2 : 1991 | "sleepin' on my couch" | none | none | i wish my brother george was here row 3 : 1992 | "dr. bombay.." | none | none | i wish my brother george was here row 4 : 1993 | "catch a bad one" | none | none | no need for alarm row 5 : 1994 | "wrong place" | none | 48 | no need for alarm row 6 : 1999 | "phoney phranchise" | none | 47 | both sides of the brain row 7 : 2000 | "if you must" | none | 27 | both sides of the brain row 8 : 2008 | "workin' it" | none | none | eleventh hour row 9 : 2011 | "one out of a million" | none | none | golden era | col : count ( "*" ) row 1 : 0 | select count ( * ) where song = '"dr. bombay.."' <table_name> : table \begin{tabular}{llllll}
\toprule
& year & song & us r&b & us rap & album \\
\midrule
0 & 1991 & "mistadobalina" & 55 & 6 & i wish my brother george was here \\
1 & 1991 & "sleepin' on my couch" & none & none & i wish my brother george was here \\
2 & 1992 & "dr. bombay.." & none & none & i wish my brother george was here \\
3 & 1993 & "catch a bad one" & none & none & no need for alarm \\
4 & 1994 & "wrong place" & none & 48 & no need for alarm \\
5 & 1999 & "phoney phranchise" & none & 47 & both sides of the brain \\
6 & 2000 & "if you must" & none & 27 & both sides of the brain \\
7 & 2008 & "workin' it" & none & none & eleventh hour \\
8 & 2011 & "one out of a million" & none & none & golden era \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( * ) where song = '"dr. bombay.."' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>song</th>
<th>us r&b</th>
<th>us rap</th>
<th>album</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1991</td>
<td>"mistadobalina"</td>
<td>55</td>
<td>6</td>
<td>i wish my brother george was here</td>
</tr>
<tr>
<th>1</th>
<td>1991</td>
<td>"sleepin' on my couch"</td>
<td>none</td>
<td>none</td>
<td>i wish my brother george was here</td>
</tr>
<tr>
<th>2</th>
<td>1992</td>
<td>"dr. bombay.."</td>
<td>none</td>
<td>none</td>
<td>i wish my brother george was here</td>
</tr>
<tr>
<th>3</th>
<td>1993</td>
<td>"catch a bad one"</td>
<td>none</td>
<td>none</td>
<td>no need for alarm</td>
</tr>
<tr>
<th>4</th>
<td>1994</td>
<td>"wrong place"</td>
<td>none</td>
<td>48</td>
<td>no need for alarm</td>
</tr>
<tr>
<th>5</th>
<td>1999</td>
<td>"phoney phranchise"</td>
<td>none</td>
<td>47</td>
<td>both sides of the brain</td>
</tr>
<tr>
<th>6</th>
<td>2000</td>
<td>"if you must"</td>
<td>none</td>
<td>27</td>
<td>both sides of the brain</td>
</tr>
<tr>
<th>7</th>
<td>2008</td>
<td>"workin' it"</td>
<td>none</td>
<td>none</td>
<td>eleventh hour</td>
</tr>
<tr>
<th>8</th>
<td>2011</td>
<td>"one out of a million"</td>
<td>none</td>
<td>none</td>
<td>golden era</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
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</table> | select count ( * ) where song = '"dr. bombay.."' <table_name> : table | | year | song | us r&b | us rap | album |
|---:|-------:|:-----------------------|:---------|:---------|:----------------------------------|
| 0 | 1991 | "mistadobalina" | 55 | 6 | i wish my brother george was here |
| 1 | 1991 | "sleepin' on my couch" | none | none | i wish my brother george was here |
| 2 | 1992 | "dr. bombay.." | none | none | i wish my brother george was here |
| 3 | 1993 | "catch a bad one" | none | none | no need for alarm |
| 4 | 1994 | "wrong place" | none | 48 | no need for alarm |
| 5 | 1999 | "phoney phranchise" | none | 47 | both sides of the brain |
| 6 | 2000 | "if you must" | none | 27 | both sides of the brain |
| 7 | 2008 | "workin' it" | none | none | eleventh hour |
| 8 | 2011 | "one out of a million" | none | none | golden era | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 0 | | [
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select count ( title ) where artist = 'shaun cassidy' col : # | title | artist | highest pos. reached | weeks at no. 1 row 1 : 1 | "don't cry for me argentina" | julie covington | 1 | 7 row 2 : 2 | "the way you that you do it" | pussyfoot | 1 | 7 row 3 : 3 | "i just want to be your everything" | andy gibb | 1 | 7 row 4 : 4 | "that's rock and roll" | shaun cassidy | 2 | none row 5 : 5 | "living next door to alice" | smokie | 2 | none row 6 : 6 | "i go to rio" | peter allen | 1 | 5 row 7 : 7 | "torn between two lovers" | mary mcgregor | 1 | 4 row 8 : 8 | "walk right in" | dr hook | 1 | 5 row 9 : 9 | "you're moving out today" | carole bayer sager | 1 | 4 row 10 : 10 | "if you leave me now" | chicago | 1 | 5 (pkd #1 in 76 & 77) row 11 : 11 | "don't give up on us" | david soul | 1 | 3 row 12 : 12 | "lido shuffle" / "what can i say" | boz scaggs | 2 | none row 13 : 13 | "you and me" | alice cooper | 2 | none row 14 : 14 | "dance little lady dance" | tina charles | 4 | none row 15 : 15 | "when i need you" | leo sayer | 8 | none row 16 : 16 | "don't fall in love" | ferrets | 2 | none row 17 : 17 | "i feel love" | donna summer | 1 | 1 row 18 : 18 | "help is on its way" | little river band | 1 | 1 row 19 : 19 | "you gotta get up and dance" | supercharge | 3 | none row 20 : 20 | "mull of kintyre" | wings | 1 | 11 (pkd #1 in 77 & 78) row 21 : 21 | "don't leave me this way" | thelma houston | 6 | none row 22 : 22 | "ain't gonna bump no more with no big fat woman" | joe tex | 2 | none row 23 : 23 | "you're in my heart" | rod stewart | 1 | 1 row 24 : 24 | "ma baker" | boney m | 5 | none row 25 : 25 | "lucille" | kenny rogers | 7 | none | col : count ( "title" ) row 1 : 1 | select count ( title ) where artist = 'shaun cassidy' <table_name> : table \begin{tabular}{llllll}
\toprule
& # & title & artist & highest pos. reached & weeks at no. 1 \\
\midrule
0 & 1 & "don't cry for me argentina" & julie covington & 1 & 7 \\
1 & 2 & "the way you that you do it" & pussyfoot & 1 & 7 \\
2 & 3 & "i just want to be your everything" & andy gibb & 1 & 7 \\
3 & 4 & "that's rock and roll" & shaun cassidy & 2 & none \\
4 & 5 & "living next door to alice" & smokie & 2 & none \\
5 & 6 & "i go to rio" & peter allen & 1 & 5 \\
6 & 7 & "torn between two lovers" & mary mcgregor & 1 & 4 \\
7 & 8 & "walk right in" & dr hook & 1 & 5 \\
8 & 9 & "you're moving out today" & carole bayer sager & 1 & 4 \\
9 & 10 & "if you leave me now" & chicago & 1 & 5 (pkd #1 in 76 & 77) \\
10 & 11 & "don't give up on us" & david soul & 1 & 3 \\
11 & 12 & "lido shuffle" / "what can i say" & boz scaggs & 2 & none \\
12 & 13 & "you and me" & alice cooper & 2 & none \\
13 & 14 & "dance little lady dance" & tina charles & 4 & none \\
14 & 15 & "when i need you" & leo sayer & 8 & none \\
15 & 16 & "don't fall in love" & ferrets & 2 & none \\
16 & 17 & "i feel love" & donna summer & 1 & 1 \\
17 & 18 & "help is on its way" & little river band & 1 & 1 \\
18 & 19 & "you gotta get up and dance" & supercharge & 3 & none \\
19 & 20 & "mull of kintyre" & wings & 1 & 11 (pkd #1 in 77 & 78) \\
20 & 21 & "don't leave me this way" & thelma houston & 6 & none \\
21 & 22 & "ain't gonna bump no more with no big fat woman" & joe tex & 2 & none \\
22 & 23 & "you're in my heart" & rod stewart & 1 & 1 \\
23 & 24 & "ma baker" & boney m & 5 & none \\
24 & 25 & "lucille" & kenny rogers & 7 & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "title" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( title ) where artist = 'shaun cassidy' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>#</th>
<th>title</th>
<th>artist</th>
<th>highest pos. reached</th>
<th>weeks at no. 1</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>"don't cry for me argentina"</td>
<td>julie covington</td>
<td>1</td>
<td>7</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>"the way you that you do it"</td>
<td>pussyfoot</td>
<td>1</td>
<td>7</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>"i just want to be your everything"</td>
<td>andy gibb</td>
<td>1</td>
<td>7</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>"that's rock and roll"</td>
<td>shaun cassidy</td>
<td>2</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>"living next door to alice"</td>
<td>smokie</td>
<td>2</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>"i go to rio"</td>
<td>peter allen</td>
<td>1</td>
<td>5</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>"torn between two lovers"</td>
<td>mary mcgregor</td>
<td>1</td>
<td>4</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>"walk right in"</td>
<td>dr hook</td>
<td>1</td>
<td>5</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>"you're moving out today"</td>
<td>carole bayer sager</td>
<td>1</td>
<td>4</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>"if you leave me now"</td>
<td>chicago</td>
<td>1</td>
<td>5 (pkd #1 in 76 & 77)</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>"don't give up on us"</td>
<td>david soul</td>
<td>1</td>
<td>3</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>"lido shuffle" / "what can i say"</td>
<td>boz scaggs</td>
<td>2</td>
<td>none</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>"you and me"</td>
<td>alice cooper</td>
<td>2</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>"dance little lady dance"</td>
<td>tina charles</td>
<td>4</td>
<td>none</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>"when i need you"</td>
<td>leo sayer</td>
<td>8</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>"don't fall in love"</td>
<td>ferrets</td>
<td>2</td>
<td>none</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>"i feel love"</td>
<td>donna summer</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>17</th>
<td>18</td>
<td>"help is on its way"</td>
<td>little river band</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>18</th>
<td>19</td>
<td>"you gotta get up and dance"</td>
<td>supercharge</td>
<td>3</td>
<td>none</td>
</tr>
<tr>
<th>19</th>
<td>20</td>
<td>"mull of kintyre"</td>
<td>wings</td>
<td>1</td>
<td>11 (pkd #1 in 77 & 78)</td>
</tr>
<tr>
<th>20</th>
<td>21</td>
<td>"don't leave me this way"</td>
<td>thelma houston</td>
<td>6</td>
<td>none</td>
</tr>
<tr>
<th>21</th>
<td>22</td>
<td>"ain't gonna bump no more with no big fat woman"</td>
<td>joe tex</td>
<td>2</td>
<td>none</td>
</tr>
<tr>
<th>22</th>
<td>23</td>
<td>"you're in my heart"</td>
<td>rod stewart</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>23</th>
<td>24</td>
<td>"ma baker"</td>
<td>boney m</td>
<td>5</td>
<td>none</td>
</tr>
<tr>
<th>24</th>
<td>25</td>
<td>"lucille"</td>
<td>kenny rogers</td>
<td>7</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "title" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( title ) where artist = 'shaun cassidy' <table_name> : table | | # | title | artist | highest pos. reached | weeks at no. 1 |
|---:|----:|:-------------------------------------------------|:-------------------|-----------------------:|:-----------------------|
| 0 | 1 | "don't cry for me argentina" | julie covington | 1 | 7 |
| 1 | 2 | "the way you that you do it" | pussyfoot | 1 | 7 |
| 2 | 3 | "i just want to be your everything" | andy gibb | 1 | 7 |
| 3 | 4 | "that's rock and roll" | shaun cassidy | 2 | none |
| 4 | 5 | "living next door to alice" | smokie | 2 | none |
| 5 | 6 | "i go to rio" | peter allen | 1 | 5 |
| 6 | 7 | "torn between two lovers" | mary mcgregor | 1 | 4 |
| 7 | 8 | "walk right in" | dr hook | 1 | 5 |
| 8 | 9 | "you're moving out today" | carole bayer sager | 1 | 4 |
| 9 | 10 | "if you leave me now" | chicago | 1 | 5 (pkd #1 in 76 & 77) |
| 10 | 11 | "don't give up on us" | david soul | 1 | 3 |
| 11 | 12 | "lido shuffle" / "what can i say" | boz scaggs | 2 | none |
| 12 | 13 | "you and me" | alice cooper | 2 | none |
| 13 | 14 | "dance little lady dance" | tina charles | 4 | none |
| 14 | 15 | "when i need you" | leo sayer | 8 | none |
| 15 | 16 | "don't fall in love" | ferrets | 2 | none |
| 16 | 17 | "i feel love" | donna summer | 1 | 1 |
| 17 | 18 | "help is on its way" | little river band | 1 | 1 |
| 18 | 19 | "you gotta get up and dance" | supercharge | 3 | none |
| 19 | 20 | "mull of kintyre" | wings | 1 | 11 (pkd #1 in 77 & 78) |
| 20 | 21 | "don't leave me this way" | thelma houston | 6 | none |
| 21 | 22 | "ain't gonna bump no more with no big fat woman" | joe tex | 2 | none |
| 22 | 23 | "you're in my heart" | rod stewart | 1 | 1 |
| 23 | 24 | "ma baker" | boney m | 5 | none |
| 24 | 25 | "lucille" | kenny rogers | 7 | none | | | | count ( "title" ) |
|---:|--------------------:|
| 0 | 1 | | [
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select year where year > 1826 order by year asc limit 1 col : year | winner | album | other finalists row 1 : 2002 | che fu | navigator | dark tower - canterbury drafts row 2 : 2003 | nesian mystik | polysaturated | deceptikonz - elimination p-money - big things row 3 : 2004 | scribe | the crusader | king kapisi - 2nd round testament mareko - white sunday row 4 : 2005 | p-money | magic city | tha feelstyle - break it to pieces savage - moonshine row 5 : 2006 | frontline | borrowed time | nesian mystik - freshmen opensouls - kaleidoscope row 6 : 2007 | pnc | rookie card | 4 corners - the foundations deceptikonz - heavy rotation row 7 : 2008 | scribe | rhyme book | mareko - white sunday 2: the book of mark young sid - the truth row 8 : 2009 | ladi6 | time is not much | savage - savage island smashproof - the weekend row 9 : 2010 | david dallas | something awesome | j. williams - young love young sid - what doesn't kill me row 10 : 2011 | ladi6 | the liberation of | david dallas - the rose tint pnc - man on wire row 11 : 2012 | home brew | home brew | adeaze - rise & shine savage - mayhem & miracles row 12 : 2013 | aaradhna | treble & reverb | at peace - girl songs p-money - gratitude | col : year row 1 : 2002 row 2 : 2003 row 3 : 2004 row 4 : 2005 row 5 : 2006 row 6 : 2007 row 7 : 2008 row 8 : 2009 row 9 : 2010 row 10 : 2011 row 11 : 2012 row 12 : 2013 | select year where year > 1826 order by year asc limit 1 <table_name> : table \begin{tabular}{lllll}
\toprule
& year & winner & album & other finalists \\
\midrule
0 & 2002 & che fu & navigator & dark tower - canterbury drafts \\
1 & 2003 & nesian mystik & polysaturated & deceptikonz - elimination p-money - big things \\
2 & 2004 & scribe & the crusader & king kapisi - 2nd round testament mareko - white sunday \\
3 & 2005 & p-money & magic city & tha feelstyle - break it to pieces savage - moonshine \\
4 & 2006 & frontline & borrowed time & nesian mystik - freshmen opensouls - kaleidoscope \\
5 & 2007 & pnc & rookie card & 4 corners - the foundations deceptikonz - heavy rotation \\
6 & 2008 & scribe & rhyme book & mareko - white sunday 2: the book of mark young sid - the truth \\
7 & 2009 & ladi6 & time is not much & savage - savage island smashproof - the weekend \\
8 & 2010 & david dallas & something awesome & j. williams - young love young sid - what doesn't kill me \\
9 & 2011 & ladi6 & the liberation of & david dallas - the rose tint pnc - man on wire \\
10 & 2012 & home brew & home brew & adeaze - rise & shine savage - mayhem & miracles \\
11 & 2013 & aaradhna & treble & reverb & at peace - girl songs p-money - gratitude \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& year \\
\midrule
0 & 2002 \\
1 & 2003 \\
2 & 2004 \\
3 & 2005 \\
4 & 2006 \\
5 & 2007 \\
6 & 2008 \\
7 & 2009 \\
8 & 2010 \\
9 & 2011 \\
10 & 2012 \\
11 & 2013 \\
\bottomrule
\end{tabular}
| select year where year > 1826 order by year asc limit 1 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>winner</th>
<th>album</th>
<th>other finalists</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2002</td>
<td>che fu</td>
<td>navigator</td>
<td>dark tower - canterbury drafts</td>
</tr>
<tr>
<th>1</th>
<td>2003</td>
<td>nesian mystik</td>
<td>polysaturated</td>
<td>deceptikonz - elimination p-money - big things</td>
</tr>
<tr>
<th>2</th>
<td>2004</td>
<td>scribe</td>
<td>the crusader</td>
<td>king kapisi - 2nd round testament mareko - white sunday</td>
</tr>
<tr>
<th>3</th>
<td>2005</td>
<td>p-money</td>
<td>magic city</td>
<td>tha feelstyle - break it to pieces savage - moonshine</td>
</tr>
<tr>
<th>4</th>
<td>2006</td>
<td>frontline</td>
<td>borrowed time</td>
<td>nesian mystik - freshmen opensouls - kaleidoscope</td>
</tr>
<tr>
<th>5</th>
<td>2007</td>
<td>pnc</td>
<td>rookie card</td>
<td>4 corners - the foundations deceptikonz - heavy rotation</td>
</tr>
<tr>
<th>6</th>
<td>2008</td>
<td>scribe</td>
<td>rhyme book</td>
<td>mareko - white sunday 2: the book of mark young sid - the truth</td>
</tr>
<tr>
<th>7</th>
<td>2009</td>
<td>ladi6</td>
<td>time is not much</td>
<td>savage - savage island smashproof - the weekend</td>
</tr>
<tr>
<th>8</th>
<td>2010</td>
<td>david dallas</td>
<td>something awesome</td>
<td>j. williams - young love young sid - what doesn't kill me</td>
</tr>
<tr>
<th>9</th>
<td>2011</td>
<td>ladi6</td>
<td>the liberation of</td>
<td>david dallas - the rose tint pnc - man on wire</td>
</tr>
<tr>
<th>10</th>
<td>2012</td>
<td>home brew</td>
<td>home brew</td>
<td>adeaze - rise & shine savage - mayhem & miracles</td>
</tr>
<tr>
<th>11</th>
<td>2013</td>
<td>aaradhna</td>
<td>treble & reverb</td>
<td>at peace - girl songs p-money - gratitude</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2002</td>
</tr>
<tr>
<th>1</th>
<td>2003</td>
</tr>
<tr>
<th>2</th>
<td>2004</td>
</tr>
<tr>
<th>3</th>
<td>2005</td>
</tr>
<tr>
<th>4</th>
<td>2006</td>
</tr>
<tr>
<th>5</th>
<td>2007</td>
</tr>
<tr>
<th>6</th>
<td>2008</td>
</tr>
<tr>
<th>7</th>
<td>2009</td>
</tr>
<tr>
<th>8</th>
<td>2010</td>
</tr>
<tr>
<th>9</th>
<td>2011</td>
</tr>
<tr>
<th>10</th>
<td>2012</td>
</tr>
<tr>
<th>11</th>
<td>2013</td>
</tr>
</tbody>
</table> | select year where year > 1826 order by year asc limit 1 <table_name> : table | | year | winner | album | other finalists |
|---:|-------:|:--------------|:------------------|:----------------------------------------------------------------|
| 0 | 2002 | che fu | navigator | dark tower - canterbury drafts |
| 1 | 2003 | nesian mystik | polysaturated | deceptikonz - elimination p-money - big things |
| 2 | 2004 | scribe | the crusader | king kapisi - 2nd round testament mareko - white sunday |
| 3 | 2005 | p-money | magic city | tha feelstyle - break it to pieces savage - moonshine |
| 4 | 2006 | frontline | borrowed time | nesian mystik - freshmen opensouls - kaleidoscope |
| 5 | 2007 | pnc | rookie card | 4 corners - the foundations deceptikonz - heavy rotation |
| 6 | 2008 | scribe | rhyme book | mareko - white sunday 2: the book of mark young sid - the truth |
| 7 | 2009 | ladi6 | time is not much | savage - savage island smashproof - the weekend |
| 8 | 2010 | david dallas | something awesome | j. williams - young love young sid - what doesn't kill me |
| 9 | 2011 | ladi6 | the liberation of | david dallas - the rose tint pnc - man on wire |
| 10 | 2012 | home brew | home brew | adeaze - rise & shine savage - mayhem & miracles |
| 11 | 2013 | aaradhna | treble & reverb | at peace - girl songs p-money - gratitude | | | | year |
|---:|-------:|
| 0 | 2002 |
| 1 | 2003 |
| 2 | 2004 |
| 3 | 2005 |
| 4 | 2006 |
| 5 | 2007 |
| 6 | 2008 |
| 7 | 2009 |
| 8 | 2010 |
| 9 | 2011 |
| 10 | 2012 |
| 11 | 2013 | | [
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] |
select count ( * ) where caliber (mm) = '132 mm' col : weapon name | caliber (mm) | range (max) | warhead row 1 : m-8 | 82 mm | 5,900 m (6,500 yd) | 0.64 kg (1.4 lb) row 2 : m-13 | 132 mm | 8,740 m (9,560 yd) | 4.9 kg (11 lb) row 3 : m-13dd | 132 mm | 11,800 m (12,900 yd) | 4.9 kg (11 lb) row 4 : m-13uk | 132 mm | 7,900 m (8,600 yd) | 4.9 kg (11 lb) row 5 : m-20 | 132 mm | 5,050 m (5,520 yd) | 18.4 kg (41 lb) row 6 : m-30 | 300 mm | 2,800 m (3,100 yd) | 28.9 kg (64 lb) row 7 : m-31 | 300 mm | 4,325 m (4,730 yd) | 28.9 kg (64 lb) row 8 : m-31uk | 300 mm | 4,000 m (4,400 yd) | 28.9 kg (64 lb) | col : count ( "*" ) row 1 : 4 | select count ( * ) where caliber (mm) = '132 mm' <table_name> : table \begin{tabular}{lllll}
\toprule
& weapon name & caliber (mm) & range (max) & warhead \\
\midrule
0 & m-8 & 82 mm & 5,900 m (6,500 yd) & 0.64 kg (1.4 lb) \\
1 & m-13 & 132 mm & 8,740 m (9,560 yd) & 4.9 kg (11 lb) \\
2 & m-13dd & 132 mm & 11,800 m (12,900 yd) & 4.9 kg (11 lb) \\
3 & m-13uk & 132 mm & 7,900 m (8,600 yd) & 4.9 kg (11 lb) \\
4 & m-20 & 132 mm & 5,050 m (5,520 yd) & 18.4 kg (41 lb) \\
5 & m-30 & 300 mm & 2,800 m (3,100 yd) & 28.9 kg (64 lb) \\
6 & m-31 & 300 mm & 4,325 m (4,730 yd) & 28.9 kg (64 lb) \\
7 & m-31uk & 300 mm & 4,000 m (4,400 yd) & 28.9 kg (64 lb) \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 4 \\
\bottomrule
\end{tabular}
| select count ( * ) where caliber (mm) = '132 mm' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>weapon name</th>
<th>caliber (mm)</th>
<th>range (max)</th>
<th>warhead</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>m-8</td>
<td>82 mm</td>
<td>5,900 m (6,500 yd)</td>
<td>0.64 kg (1.4 lb)</td>
</tr>
<tr>
<th>1</th>
<td>m-13</td>
<td>132 mm</td>
<td>8,740 m (9,560 yd)</td>
<td>4.9 kg (11 lb)</td>
</tr>
<tr>
<th>2</th>
<td>m-13dd</td>
<td>132 mm</td>
<td>11,800 m (12,900 yd)</td>
<td>4.9 kg (11 lb)</td>
</tr>
<tr>
<th>3</th>
<td>m-13uk</td>
<td>132 mm</td>
<td>7,900 m (8,600 yd)</td>
<td>4.9 kg (11 lb)</td>
</tr>
<tr>
<th>4</th>
<td>m-20</td>
<td>132 mm</td>
<td>5,050 m (5,520 yd)</td>
<td>18.4 kg (41 lb)</td>
</tr>
<tr>
<th>5</th>
<td>m-30</td>
<td>300 mm</td>
<td>2,800 m (3,100 yd)</td>
<td>28.9 kg (64 lb)</td>
</tr>
<tr>
<th>6</th>
<td>m-31</td>
<td>300 mm</td>
<td>4,325 m (4,730 yd)</td>
<td>28.9 kg (64 lb)</td>
</tr>
<tr>
<th>7</th>
<td>m-31uk</td>
<td>300 mm</td>
<td>4,000 m (4,400 yd)</td>
<td>28.9 kg (64 lb)</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>4</td>
</tr>
</tbody>
</table> | select count ( * ) where caliber (mm) = '132 mm' <table_name> : table | | weapon name | caliber (mm) | range (max) | warhead |
|---:|:--------------|:---------------|:---------------------|:-----------------|
| 0 | m-8 | 82 mm | 5,900 m (6,500 yd) | 0.64 kg (1.4 lb) |
| 1 | m-13 | 132 mm | 8,740 m (9,560 yd) | 4.9 kg (11 lb) |
| 2 | m-13dd | 132 mm | 11,800 m (12,900 yd) | 4.9 kg (11 lb) |
| 3 | m-13uk | 132 mm | 7,900 m (8,600 yd) | 4.9 kg (11 lb) |
| 4 | m-20 | 132 mm | 5,050 m (5,520 yd) | 18.4 kg (41 lb) |
| 5 | m-30 | 300 mm | 2,800 m (3,100 yd) | 28.9 kg (64 lb) |
| 6 | m-31 | 300 mm | 4,325 m (4,730 yd) | 28.9 kg (64 lb) |
| 7 | m-31uk | 300 mm | 4,000 m (4,400 yd) | 28.9 kg (64 lb) | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 4 | | [
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] |
select et where host(s) = 'kathleen troia mcfarland' col : et | days available | program | host(s) | description row 1 : 9am-10am | monday-friday | the morning click | jamie colby (m,t), harris faulkner (w-f) | current events row 2 : 10am-10:30am | monday-friday | none | lauren green (m), uma pemmaraju (t), gregg jarrett (w), arthel neville (f), rick folbaum (f), heather childers | current events row 3 : 11am-11:30am | monday-friday | fbn live | lauren simonetti | business news and information row 4 : 12pm-1pm | monday-friday | on the hunt | jonathan hunt | current events row 5 : 2pm-3pm | monday | entertainment hour | ashley dvorkin | entertainment news, musical performances row 6 : 2pm-3pm | tuesday | none | kimberly guilfoyle | crime and legal news row 7 : 2pm-3pm | wednesday | defcon 3 | kathleen troia mcfarland | military news and information row 8 : 2pm-3pm | thursday | fox car report | gary gastelu | automotive news and information row 9 : 2pm-3pm | friday | spirited debate | lauren green | discussion on religious topics | col : et row 1 : 2pm-3pm | select et where host(s) = 'kathleen troia mcfarland' <table_name> : table \begin{tabular}{llllll}
\toprule
& et & days available & program & host(s) & description \\
\midrule
0 & 9am-10am & monday-friday & the morning click & jamie colby (m,t), harris faulkner (w-f) & current events \\
1 & 10am-10:30am & monday-friday & none & lauren green (m), uma pemmaraju (t), gregg jarrett (w), arthel neville (f), rick folbaum (f), heather childers & current events \\
2 & 11am-11:30am & monday-friday & fbn live & lauren simonetti & business news and information \\
3 & 12pm-1pm & monday-friday & on the hunt & jonathan hunt & current events \\
4 & 2pm-3pm & monday & entertainment hour & ashley dvorkin & entertainment news, musical performances \\
5 & 2pm-3pm & tuesday & none & kimberly guilfoyle & crime and legal news \\
6 & 2pm-3pm & wednesday & defcon 3 & kathleen troia mcfarland & military news and information \\
7 & 2pm-3pm & thursday & fox car report & gary gastelu & automotive news and information \\
8 & 2pm-3pm & friday & spirited debate & lauren green & discussion on religious topics \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& et \\
\midrule
0 & 2pm-3pm \\
\bottomrule
\end{tabular}
| select et where host(s) = 'kathleen troia mcfarland' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>et</th>
<th>days available</th>
<th>program</th>
<th>host(s)</th>
<th>description</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>9am-10am</td>
<td>monday-friday</td>
<td>the morning click</td>
<td>jamie colby (m,t), harris faulkner (w-f)</td>
<td>current events</td>
</tr>
<tr>
<th>1</th>
<td>10am-10:30am</td>
<td>monday-friday</td>
<td>none</td>
<td>lauren green (m), uma pemmaraju (t), gregg jarrett (w), arthel neville (f), rick folbaum (f), heather childers</td>
<td>current events</td>
</tr>
<tr>
<th>2</th>
<td>11am-11:30am</td>
<td>monday-friday</td>
<td>fbn live</td>
<td>lauren simonetti</td>
<td>business news and information</td>
</tr>
<tr>
<th>3</th>
<td>12pm-1pm</td>
<td>monday-friday</td>
<td>on the hunt</td>
<td>jonathan hunt</td>
<td>current events</td>
</tr>
<tr>
<th>4</th>
<td>2pm-3pm</td>
<td>monday</td>
<td>entertainment hour</td>
<td>ashley dvorkin</td>
<td>entertainment news, musical performances</td>
</tr>
<tr>
<th>5</th>
<td>2pm-3pm</td>
<td>tuesday</td>
<td>none</td>
<td>kimberly guilfoyle</td>
<td>crime and legal news</td>
</tr>
<tr>
<th>6</th>
<td>2pm-3pm</td>
<td>wednesday</td>
<td>defcon 3</td>
<td>kathleen troia mcfarland</td>
<td>military news and information</td>
</tr>
<tr>
<th>7</th>
<td>2pm-3pm</td>
<td>thursday</td>
<td>fox car report</td>
<td>gary gastelu</td>
<td>automotive news and information</td>
</tr>
<tr>
<th>8</th>
<td>2pm-3pm</td>
<td>friday</td>
<td>spirited debate</td>
<td>lauren green</td>
<td>discussion on religious topics</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>et</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2pm-3pm</td>
</tr>
</tbody>
</table> | select et where host(s) = 'kathleen troia mcfarland' <table_name> : table | | et | days available | program | host(s) | description |
|---:|:-------------|:-----------------|:-------------------|:---------------------------------------------------------------------------------------------------------------|:-----------------------------------------|
| 0 | 9am-10am | monday-friday | the morning click | jamie colby (m,t), harris faulkner (w-f) | current events |
| 1 | 10am-10:30am | monday-friday | none | lauren green (m), uma pemmaraju (t), gregg jarrett (w), arthel neville (f), rick folbaum (f), heather childers | current events |
| 2 | 11am-11:30am | monday-friday | fbn live | lauren simonetti | business news and information |
| 3 | 12pm-1pm | monday-friday | on the hunt | jonathan hunt | current events |
| 4 | 2pm-3pm | monday | entertainment hour | ashley dvorkin | entertainment news, musical performances |
| 5 | 2pm-3pm | tuesday | none | kimberly guilfoyle | crime and legal news |
| 6 | 2pm-3pm | wednesday | defcon 3 | kathleen troia mcfarland | military news and information |
| 7 | 2pm-3pm | thursday | fox car report | gary gastelu | automotive news and information |
| 8 | 2pm-3pm | friday | spirited debate | lauren green | discussion on religious topics | | | | et |
|---:|:--------|
| 0 | 2pm-3pm | | [
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] |
select count ( team ) where team = 12 col : year | team | gp | att | yds -1 | avg -1 | long -1 | rush td | rec | yds -2 | avg -2 | long -2 | rec td row 1 : 1981 | san diego chargers | 14 | 109 | 525 | 4.8 | 28 | 3 | 46 | 329 | 7.2 | 29 | 3 row 2 : 1982 | san digeo chargers | 9 | 87 | 430 | 4.9 | 48 | 6 | 13 | 66 | 5.1 | 12 | 0 row 3 : 1983 | san diego chargers | 15 | 127 | 516 | 4.1 | 61 | 3 | 25 | 215 | 8.6 | 36 | 0 row 4 : 1984 | cincinnati bengals | 15 | 103 | 396 | 3.8 | 33 | 2 | 34 | 268 | 7.9 | 27 | 2 row 5 : 1985 | cincinnati bengals | 16 | 192 | 929 | 4.8 | 39 | 7 | 55 | 576 | 10.5 | 57 | 5 row 6 : 1986 | cincinnati bengals | 16 | 205 | 1087 | 5.3 | 56 | 5 | 54 | 686 | 12.7 | 54 | 4 row 7 : 1987 | cincinnati bengals | 9 | 94 | 280 | 3.1 | 18 | 1 | 22 | 272 | 12.4 | 46 | 2 row 8 : 1988 | cincinnati bengals | 15 | 182 | 931 | 5.1 | 51 | 8 | 29 | 287 | 9.9 | 28 | 6 row 9 : 1989 | cincinnati bengals | 16 | 221 | 1239 | 5.6 | 65 | 7 | 37 | 306 | 8.3 | 25 | 2 row 10 : 1990 | cincinnati bengals | 16 | 195 | 1004 | 5.1 | 56 | 5 | 26 | 269 | 10.3 | 35 | 4 row 11 : 1991 | cincinnati bengals | 15 | 152 | 571 | 3.8 | 25 | 2 | 40 | 348 | 8.7 | 40 | 2 row 12 : 1992 | tampa bay buccaneers | 2 | 5 | 6 | 1.2 | 4 | 0 | 0 | 0 | 0.0 | 0 | 0 row 13 : 1992 | cleveland browns | 4 | 13 | 38 | 2.9 | 13 | 0 | 2 | -1 | -0.5 | 4 | 0 | col : count ( "team" ) row 1 : 0 | select count ( team ) where team = 12 <table_name> : table \begin{tabular}{llllllllllllll}
\toprule
& year & team & gp & att & yds -1 & avg -1 & long -1 & rush td & rec & yds -2 & avg -2 & long -2 & rec td \\
\midrule
0 & 1981 & san diego chargers & 14 & 109 & 525 & 4.8 & 28 & 3 & 46 & 329 & 7.2 & 29 & 3 \\
1 & 1982 & san digeo chargers & 9 & 87 & 430 & 4.9 & 48 & 6 & 13 & 66 & 5.1 & 12 & 0 \\
2 & 1983 & san diego chargers & 15 & 127 & 516 & 4.1 & 61 & 3 & 25 & 215 & 8.6 & 36 & 0 \\
3 & 1984 & cincinnati bengals & 15 & 103 & 396 & 3.8 & 33 & 2 & 34 & 268 & 7.9 & 27 & 2 \\
4 & 1985 & cincinnati bengals & 16 & 192 & 929 & 4.8 & 39 & 7 & 55 & 576 & 10.5 & 57 & 5 \\
5 & 1986 & cincinnati bengals & 16 & 205 & 1087 & 5.3 & 56 & 5 & 54 & 686 & 12.7 & 54 & 4 \\
6 & 1987 & cincinnati bengals & 9 & 94 & 280 & 3.1 & 18 & 1 & 22 & 272 & 12.4 & 46 & 2 \\
7 & 1988 & cincinnati bengals & 15 & 182 & 931 & 5.1 & 51 & 8 & 29 & 287 & 9.9 & 28 & 6 \\
8 & 1989 & cincinnati bengals & 16 & 221 & 1239 & 5.6 & 65 & 7 & 37 & 306 & 8.3 & 25 & 2 \\
9 & 1990 & cincinnati bengals & 16 & 195 & 1004 & 5.1 & 56 & 5 & 26 & 269 & 10.3 & 35 & 4 \\
10 & 1991 & cincinnati bengals & 15 & 152 & 571 & 3.8 & 25 & 2 & 40 & 348 & 8.7 & 40 & 2 \\
11 & 1992 & tampa bay buccaneers & 2 & 5 & 6 & 1.2 & 4 & 0 & 0 & 0 & 0.0 & 0 & 0 \\
12 & 1992 & cleveland browns & 4 & 13 & 38 & 2.9 & 13 & 0 & 2 & -1 & -0.5 & 4 & 0 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "team" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( team ) where team = 12 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>team</th>
<th>gp</th>
<th>att</th>
<th>yds -1</th>
<th>avg -1</th>
<th>long -1</th>
<th>rush td</th>
<th>rec</th>
<th>yds -2</th>
<th>avg -2</th>
<th>long -2</th>
<th>rec td</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1981</td>
<td>san diego chargers</td>
<td>14</td>
<td>109</td>
<td>525</td>
<td>4.8</td>
<td>28</td>
<td>3</td>
<td>46</td>
<td>329</td>
<td>7.2</td>
<td>29</td>
<td>3</td>
</tr>
<tr>
<th>1</th>
<td>1982</td>
<td>san digeo chargers</td>
<td>9</td>
<td>87</td>
<td>430</td>
<td>4.9</td>
<td>48</td>
<td>6</td>
<td>13</td>
<td>66</td>
<td>5.1</td>
<td>12</td>
<td>0</td>
</tr>
<tr>
<th>2</th>
<td>1983</td>
<td>san diego chargers</td>
<td>15</td>
<td>127</td>
<td>516</td>
<td>4.1</td>
<td>61</td>
<td>3</td>
<td>25</td>
<td>215</td>
<td>8.6</td>
<td>36</td>
<td>0</td>
</tr>
<tr>
<th>3</th>
<td>1984</td>
<td>cincinnati bengals</td>
<td>15</td>
<td>103</td>
<td>396</td>
<td>3.8</td>
<td>33</td>
<td>2</td>
<td>34</td>
<td>268</td>
<td>7.9</td>
<td>27</td>
<td>2</td>
</tr>
<tr>
<th>4</th>
<td>1985</td>
<td>cincinnati bengals</td>
<td>16</td>
<td>192</td>
<td>929</td>
<td>4.8</td>
<td>39</td>
<td>7</td>
<td>55</td>
<td>576</td>
<td>10.5</td>
<td>57</td>
<td>5</td>
</tr>
<tr>
<th>5</th>
<td>1986</td>
<td>cincinnati bengals</td>
<td>16</td>
<td>205</td>
<td>1087</td>
<td>5.3</td>
<td>56</td>
<td>5</td>
<td>54</td>
<td>686</td>
<td>12.7</td>
<td>54</td>
<td>4</td>
</tr>
<tr>
<th>6</th>
<td>1987</td>
<td>cincinnati bengals</td>
<td>9</td>
<td>94</td>
<td>280</td>
<td>3.1</td>
<td>18</td>
<td>1</td>
<td>22</td>
<td>272</td>
<td>12.4</td>
<td>46</td>
<td>2</td>
</tr>
<tr>
<th>7</th>
<td>1988</td>
<td>cincinnati bengals</td>
<td>15</td>
<td>182</td>
<td>931</td>
<td>5.1</td>
<td>51</td>
<td>8</td>
<td>29</td>
<td>287</td>
<td>9.9</td>
<td>28</td>
<td>6</td>
</tr>
<tr>
<th>8</th>
<td>1989</td>
<td>cincinnati bengals</td>
<td>16</td>
<td>221</td>
<td>1239</td>
<td>5.6</td>
<td>65</td>
<td>7</td>
<td>37</td>
<td>306</td>
<td>8.3</td>
<td>25</td>
<td>2</td>
</tr>
<tr>
<th>9</th>
<td>1990</td>
<td>cincinnati bengals</td>
<td>16</td>
<td>195</td>
<td>1004</td>
<td>5.1</td>
<td>56</td>
<td>5</td>
<td>26</td>
<td>269</td>
<td>10.3</td>
<td>35</td>
<td>4</td>
</tr>
<tr>
<th>10</th>
<td>1991</td>
<td>cincinnati bengals</td>
<td>15</td>
<td>152</td>
<td>571</td>
<td>3.8</td>
<td>25</td>
<td>2</td>
<td>40</td>
<td>348</td>
<td>8.7</td>
<td>40</td>
<td>2</td>
</tr>
<tr>
<th>11</th>
<td>1992</td>
<td>tampa bay buccaneers</td>
<td>2</td>
<td>5</td>
<td>6</td>
<td>1.2</td>
<td>4</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0.0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>12</th>
<td>1992</td>
<td>cleveland browns</td>
<td>4</td>
<td>13</td>
<td>38</td>
<td>2.9</td>
<td>13</td>
<td>0</td>
<td>2</td>
<td>-1</td>
<td>-0.5</td>
<td>4</td>
<td>0</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "team" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select count ( team ) where team = 12 <table_name> : table | | year | team | gp | att | yds -1 | avg -1 | long -1 | rush td | rec | yds -2 | avg -2 | long -2 | rec td |
|---:|-------:|:---------------------|-----:|------:|---------:|---------:|----------:|----------:|------:|---------:|---------:|----------:|---------:|
| 0 | 1981 | san diego chargers | 14 | 109 | 525 | 4.8 | 28 | 3 | 46 | 329 | 7.2 | 29 | 3 |
| 1 | 1982 | san digeo chargers | 9 | 87 | 430 | 4.9 | 48 | 6 | 13 | 66 | 5.1 | 12 | 0 |
| 2 | 1983 | san diego chargers | 15 | 127 | 516 | 4.1 | 61 | 3 | 25 | 215 | 8.6 | 36 | 0 |
| 3 | 1984 | cincinnati bengals | 15 | 103 | 396 | 3.8 | 33 | 2 | 34 | 268 | 7.9 | 27 | 2 |
| 4 | 1985 | cincinnati bengals | 16 | 192 | 929 | 4.8 | 39 | 7 | 55 | 576 | 10.5 | 57 | 5 |
| 5 | 1986 | cincinnati bengals | 16 | 205 | 1087 | 5.3 | 56 | 5 | 54 | 686 | 12.7 | 54 | 4 |
| 6 | 1987 | cincinnati bengals | 9 | 94 | 280 | 3.1 | 18 | 1 | 22 | 272 | 12.4 | 46 | 2 |
| 7 | 1988 | cincinnati bengals | 15 | 182 | 931 | 5.1 | 51 | 8 | 29 | 287 | 9.9 | 28 | 6 |
| 8 | 1989 | cincinnati bengals | 16 | 221 | 1239 | 5.6 | 65 | 7 | 37 | 306 | 8.3 | 25 | 2 |
| 9 | 1990 | cincinnati bengals | 16 | 195 | 1004 | 5.1 | 56 | 5 | 26 | 269 | 10.3 | 35 | 4 |
| 10 | 1991 | cincinnati bengals | 15 | 152 | 571 | 3.8 | 25 | 2 | 40 | 348 | 8.7 | 40 | 2 |
| 11 | 1992 | tampa bay buccaneers | 2 | 5 | 6 | 1.2 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 12 | 1992 | cleveland browns | 4 | 13 | 38 | 2.9 | 13 | 0 | 2 | -1 | -0.5 | 4 | 0 | | | | count ( "team" ) |
|---:|-------------------:|
| 0 | 0 | | [
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select count ( title ) where date = 'through his own mistake, the inspector is stranded on a deserted island with burly convict mack le truck, who is trying to kill him' col : # | title | date | director | story | synopsis | notes row 1 : 13 | sacre bleu cross | february 1, 1967 | gerry chiniquy | john w. dunn | when they go after hassan the assassin, deux-deux gives the inspector an unlucky rabbit's foot | the commissioner does not appear row 2 : 14 | le quiet squad | may 17, 1967 | robert mckimson | jim ryan | the commissioner is overworked and needs absolute quiet or he goes into uncontrolled fits of temper. the inspector is assigned to look after him, but has trouble with a noisy cat | sgt. deux-deux does not appear row 3 : 15 | bomb voyage | may 22, 1967 | robert mckimson | tony benedict | the commissioner is kidnapped by aliens, and the inspector goes to rescue him | music score is set to ottorino respighi's pines of rome row 4 : 16 | le pig-al patrol | may 24, 1967 | gerry chiniquy | jim ryan | the inspector is sent after biker pig al and his biker gang | sgt. deux-deux does not appear row 5 : 17 | le bowser bagger | may 30, 1967 | gerry chiniquy | jim ryan | the inspector is given private bowser, a very energetic dog, in his efforts to track down a thief | sgt. deux-deux does not appear row 6 : 18 | le escape goat | june 29, 1967 | gerry chiniquy | jim ryan | after being fired for letting louie le finke escape, the inspector tries to stop him from taking vengeance on the commissioner, but ends up becoming part of the manhunt himself | sgt. deux-deux does not appear row 7 : 19 | le cop on le rocks | july 3, 1967 | george singer | jim ryan | the inspector is sent to prison having been mistaken for a bank robber who looks exactly like him. he soon realizes that his backfiring attempts to escape adds even more years to his sentence | sgt. deux-deux and the commissioner do not appear row 8 : 20 | c | | | | | row 9 : de guerre | august 16, 1967 | gerry chiniquy | john w. dunn | the inspector is continually outwitted by a c | | row 10 : that steals jewels | sgt. deux-deux and the commissioner do not appear | | | | | row 11 : 21 | canadian can-can | september 20, 1967 | gerry chiniquy | john w. dunn | sent to canada on an exchange programme, the inspector is sent after two-faced harry, who has an innocent face on his front and an evil face on his back | sgt. deux-deux does not appear row 12 : 22 | tour de farce | october 25, 1967 | gerry chiniquy | jim ryan | through his own mistake, the inspector is stranded on a deserted island with burly convict mack le truck, who is trying to kill him | sgt. deux-deux and the commissioner do not appear row 13 : 23 | the shooting of caribou lou | december 20, 1967 | gerry chiniquy | john w. dunn | on holiday in canada as a mountie, the inspector is kidnapped by the diminutive but aggressive fur trapper caribou lou | sgt. deux-deux and the commissioner do not appear | col : count ( "title" ) row 1 : 0 | select count ( title ) where date = 'through his own mistake, the inspector is stranded on a deserted island with burly convict mack le truck, who is trying to kill him' <table_name> : table \begin{tabular}{llllllll}
\toprule
& # & title & date & director & story & synopsis & notes \\
\midrule
0 & 13 & sacre bleu cross & february 1, 1967 & gerry chiniquy & john w. dunn & when they go after hassan the assassin, deux-deux gives the inspector an unlucky rabbit's foot & the commissioner does not appear \\
1 & 14 & le quiet squad & may 17, 1967 & robert mckimson & jim ryan & the commissioner is overworked and needs absolute quiet or he goes into uncontrolled fits of temper. the inspector is assigned to look after him, but has trouble with a noisy cat & sgt. deux-deux does not appear \\
2 & 15 & bomb voyage & may 22, 1967 & robert mckimson & tony benedict & the commissioner is kidnapped by aliens, and the inspector goes to rescue him & music score is set to ottorino respighi's pines of rome \\
3 & 16 & le pig-al patrol & may 24, 1967 & gerry chiniquy & jim ryan & the inspector is sent after biker pig al and his biker gang & sgt. deux-deux does not appear \\
4 & 17 & le bowser bagger & may 30, 1967 & gerry chiniquy & jim ryan & the inspector is given private bowser, a very energetic dog, in his efforts to track down a thief & sgt. deux-deux does not appear \\
5 & 18 & le escape goat & june 29, 1967 & gerry chiniquy & jim ryan & after being fired for letting louie le finke escape, the inspector tries to stop him from taking vengeance on the commissioner, but ends up becoming part of the manhunt himself & sgt. deux-deux does not appear \\
6 & 19 & le cop on le rocks & july 3, 1967 & george singer & jim ryan & the inspector is sent to prison having been mistaken for a bank robber who looks exactly like him. he soon realizes that his backfiring attempts to escape adds even more years to his sentence & sgt. deux-deux and the commissioner do not appear \\
7 & 20 & c & & & & & \\
8 & de guerre & august 16, 1967 & gerry chiniquy & john w. dunn & the inspector is continually outwitted by a c & & \\
9 & that steals jewels & sgt. deux-deux and the commissioner do not appear & & & & & \\
10 & 21 & canadian can-can & september 20, 1967 & gerry chiniquy & john w. dunn & sent to canada on an exchange programme, the inspector is sent after two-faced harry, who has an innocent face on his front and an evil face on his back & sgt. deux-deux does not appear \\
11 & 22 & tour de farce & october 25, 1967 & gerry chiniquy & jim ryan & through his own mistake, the inspector is stranded on a deserted island with burly convict mack le truck, who is trying to kill him & sgt. deux-deux and the commissioner do not appear \\
12 & 23 & the shooting of caribou lou & december 20, 1967 & gerry chiniquy & john w. dunn & on holiday in canada as a mountie, the inspector is kidnapped by the diminutive but aggressive fur trapper caribou lou & sgt. deux-deux and the commissioner do not appear \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "title" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( title ) where date = 'through his own mistake, the inspector is stranded on a deserted island with burly convict mack le truck, who is trying to kill him' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>#</th>
<th>title</th>
<th>date</th>
<th>director</th>
<th>story</th>
<th>synopsis</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>13</td>
<td>sacre bleu cross</td>
<td>february 1, 1967</td>
<td>gerry chiniquy</td>
<td>john w. dunn</td>
<td>when they go after hassan the assassin, deux-deux gives the inspector an unlucky rabbit's foot</td>
<td>the commissioner does not appear</td>
</tr>
<tr>
<th>1</th>
<td>14</td>
<td>le quiet squad</td>
<td>may 17, 1967</td>
<td>robert mckimson</td>
<td>jim ryan</td>
<td>the commissioner is overworked and needs absolute quiet or he goes into uncontrolled fits of temper. the inspector is assigned to look after him, but has trouble with a noisy cat</td>
<td>sgt. deux-deux does not appear</td>
</tr>
<tr>
<th>2</th>
<td>15</td>
<td>bomb voyage</td>
<td>may 22, 1967</td>
<td>robert mckimson</td>
<td>tony benedict</td>
<td>the commissioner is kidnapped by aliens, and the inspector goes to rescue him</td>
<td>music score is set to ottorino respighi's pines of rome</td>
</tr>
<tr>
<th>3</th>
<td>16</td>
<td>le pig-al patrol</td>
<td>may 24, 1967</td>
<td>gerry chiniquy</td>
<td>jim ryan</td>
<td>the inspector is sent after biker pig al and his biker gang</td>
<td>sgt. deux-deux does not appear</td>
</tr>
<tr>
<th>4</th>
<td>17</td>
<td>le bowser bagger</td>
<td>may 30, 1967</td>
<td>gerry chiniquy</td>
<td>jim ryan</td>
<td>the inspector is given private bowser, a very energetic dog, in his efforts to track down a thief</td>
<td>sgt. deux-deux does not appear</td>
</tr>
<tr>
<th>5</th>
<td>18</td>
<td>le escape goat</td>
<td>june 29, 1967</td>
<td>gerry chiniquy</td>
<td>jim ryan</td>
<td>after being fired for letting louie le finke escape, the inspector tries to stop him from taking vengeance on the commissioner, but ends up becoming part of the manhunt himself</td>
<td>sgt. deux-deux does not appear</td>
</tr>
<tr>
<th>6</th>
<td>19</td>
<td>le cop on le rocks</td>
<td>july 3, 1967</td>
<td>george singer</td>
<td>jim ryan</td>
<td>the inspector is sent to prison having been mistaken for a bank robber who looks exactly like him. he soon realizes that his backfiring attempts to escape adds even more years to his sentence</td>
<td>sgt. deux-deux and the commissioner do not appear</td>
</tr>
<tr>
<th>7</th>
<td>20</td>
<td>c</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<th>8</th>
<td>de guerre</td>
<td>august 16, 1967</td>
<td>gerry chiniquy</td>
<td>john w. dunn</td>
<td>the inspector is continually outwitted by a c</td>
<td></td>
<td></td>
</tr>
<tr>
<th>9</th>
<td>that steals jewels</td>
<td>sgt. deux-deux and the commissioner do not appear</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<th>10</th>
<td>21</td>
<td>canadian can-can</td>
<td>september 20, 1967</td>
<td>gerry chiniquy</td>
<td>john w. dunn</td>
<td>sent to canada on an exchange programme, the inspector is sent after two-faced harry, who has an innocent face on his front and an evil face on his back</td>
<td>sgt. deux-deux does not appear</td>
</tr>
<tr>
<th>11</th>
<td>22</td>
<td>tour de farce</td>
<td>october 25, 1967</td>
<td>gerry chiniquy</td>
<td>jim ryan</td>
<td>through his own mistake, the inspector is stranded on a deserted island with burly convict mack le truck, who is trying to kill him</td>
<td>sgt. deux-deux and the commissioner do not appear</td>
</tr>
<tr>
<th>12</th>
<td>23</td>
<td>the shooting of caribou lou</td>
<td>december 20, 1967</td>
<td>gerry chiniquy</td>
<td>john w. dunn</td>
<td>on holiday in canada as a mountie, the inspector is kidnapped by the diminutive but aggressive fur trapper caribou lou</td>
<td>sgt. deux-deux and the commissioner do not appear</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "title" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select count ( title ) where date = 'through his own mistake, the inspector is stranded on a deserted island with burly convict mack le truck, who is trying to kill him' <table_name> : table | | # | title | date | director | story | synopsis | notes |
|---:|:-------------------|:--------------------------------------------------|:-------------------|:----------------|:----------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:--------------------------------------------------------|
| 0 | 13 | sacre bleu cross | february 1, 1967 | gerry chiniquy | john w. dunn | when they go after hassan the assassin, deux-deux gives the inspector an unlucky rabbit's foot | the commissioner does not appear |
| 1 | 14 | le quiet squad | may 17, 1967 | robert mckimson | jim ryan | the commissioner is overworked and needs absolute quiet or he goes into uncontrolled fits of temper. the inspector is assigned to look after him, but has trouble with a noisy cat | sgt. deux-deux does not appear |
| 2 | 15 | bomb voyage | may 22, 1967 | robert mckimson | tony benedict | the commissioner is kidnapped by aliens, and the inspector goes to rescue him | music score is set to ottorino respighi's pines of rome |
| 3 | 16 | le pig-al patrol | may 24, 1967 | gerry chiniquy | jim ryan | the inspector is sent after biker pig al and his biker gang | sgt. deux-deux does not appear |
| 4 | 17 | le bowser bagger | may 30, 1967 | gerry chiniquy | jim ryan | the inspector is given private bowser, a very energetic dog, in his efforts to track down a thief | sgt. deux-deux does not appear |
| 5 | 18 | le escape goat | june 29, 1967 | gerry chiniquy | jim ryan | after being fired for letting louie le finke escape, the inspector tries to stop him from taking vengeance on the commissioner, but ends up becoming part of the manhunt himself | sgt. deux-deux does not appear |
| 6 | 19 | le cop on le rocks | july 3, 1967 | george singer | jim ryan | the inspector is sent to prison having been mistaken for a bank robber who looks exactly like him. he soon realizes that his backfiring attempts to escape adds even more years to his sentence | sgt. deux-deux and the commissioner do not appear |
| 7 | 20 | c | | | | | |
| 8 | de guerre | august 16, 1967 | gerry chiniquy | john w. dunn | the inspector is continually outwitted by a c | | |
| 9 | that steals jewels | sgt. deux-deux and the commissioner do not appear | | | | | |
| 10 | 21 | canadian can-can | september 20, 1967 | gerry chiniquy | john w. dunn | sent to canada on an exchange programme, the inspector is sent after two-faced harry, who has an innocent face on his front and an evil face on his back | sgt. deux-deux does not appear |
| 11 | 22 | tour de farce | october 25, 1967 | gerry chiniquy | jim ryan | through his own mistake, the inspector is stranded on a deserted island with burly convict mack le truck, who is trying to kill him | sgt. deux-deux and the commissioner do not appear |
| 12 | 23 | the shooting of caribou lou | december 20, 1967 | gerry chiniquy | john w. dunn | on holiday in canada as a mountie, the inspector is kidnapped by the diminutive but aggressive fur trapper caribou lou | sgt. deux-deux and the commissioner do not appear | | | | count ( "title" ) |
|---:|--------------------:|
| 0 | 0 | | [
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select min ( attendance ) where site = 'm.m. roberts stadium • hattiesburg, ms' col : date | opponent# | rank# | site | result | attendance row 1 : september 1 | delta state | none | m.m. roberts stadium • hattiesburg, ms | w 12-0 | 17590 row 2 : september 8 | at #13 alabama | none | legion field • birmingham, al | w 27-24 | 75962 row 3 : september 15 | at georgia | none | sanford stadium • athens, ga | l 17-18 | 79812 row 4 : september 22 | at mississippi state | none | scott field • starkville, ms | l 10-13 | 40115 row 5 : september 29 | louisville | none | m.m. roberts stadium • hattiesburg, ms | w 25-13 | 20545 row 6 : october 6 | at east carolina | none | ficklen memorial stadium • greenville, nc | w 16-7 | 31305 row 7 : october 13 | at tulane | none | louisiana superdome • new orleans, la | w 20-14 | 26662 row 8 : october 20 | memphis state | none | m.m. roberts stadium • hattiesburg, ms | w 23-7 | 24520 row 9 : october 27 | at virginia tech | none | lane stadium • blacksburg, va | l 16-20 | 37462 row 10 : november 3 | at sw louisiana | none | cajun field • lafayette, la | w 14-13 | 17860 row 11 : november 10 | at #15 auburn | none | jordan-hare stadium • auburn, al | w 13-12 | 85214 row 12 : december 28 | vs. nc state | #23 | legion field • birmingham, al (all-american bowl) | l 27-31 | 44000 | col : min ( "attendance" ) row 1 : 17590 | select min ( attendance ) where site = 'm.m. roberts stadium • hattiesburg, ms' <table_name> : table \begin{tabular}{lllllll}
\toprule
& date & opponent# & rank# & site & result & attendance \\
\midrule
0 & september 1 & delta state & none & m.m. roberts stadium • hattiesburg, ms & w 12-0 & 17590 \\
1 & september 8 & at #13 alabama & none & legion field • birmingham, al & w 27-24 & 75962 \\
2 & september 15 & at georgia & none & sanford stadium • athens, ga & l 17-18 & 79812 \\
3 & september 22 & at mississippi state & none & scott field • starkville, ms & l 10-13 & 40115 \\
4 & september 29 & louisville & none & m.m. roberts stadium • hattiesburg, ms & w 25-13 & 20545 \\
5 & october 6 & at east carolina & none & ficklen memorial stadium • greenville, nc & w 16-7 & 31305 \\
6 & october 13 & at tulane & none & louisiana superdome • new orleans, la & w 20-14 & 26662 \\
7 & october 20 & memphis state & none & m.m. roberts stadium • hattiesburg, ms & w 23-7 & 24520 \\
8 & october 27 & at virginia tech & none & lane stadium • blacksburg, va & l 16-20 & 37462 \\
9 & november 3 & at sw louisiana & none & cajun field • lafayette, la & w 14-13 & 17860 \\
10 & november 10 & at #15 auburn & none & jordan-hare stadium • auburn, al & w 13-12 & 85214 \\
11 & december 28 & vs. nc state & #23 & legion field • birmingham, al (all-american bowl) & l 27-31 & 44000 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& min ( "attendance" ) \\
\midrule
0 & 17590 \\
\bottomrule
\end{tabular}
| select min ( attendance ) where site = 'm.m. roberts stadium • hattiesburg, ms' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>date</th>
<th>opponent#</th>
<th>rank#</th>
<th>site</th>
<th>result</th>
<th>attendance</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>september 1</td>
<td>delta state</td>
<td>none</td>
<td>m.m. roberts stadium • hattiesburg, ms</td>
<td>w 12-0</td>
<td>17590</td>
</tr>
<tr>
<th>1</th>
<td>september 8</td>
<td>at #13 alabama</td>
<td>none</td>
<td>legion field • birmingham, al</td>
<td>w 27-24</td>
<td>75962</td>
</tr>
<tr>
<th>2</th>
<td>september 15</td>
<td>at georgia</td>
<td>none</td>
<td>sanford stadium • athens, ga</td>
<td>l 17-18</td>
<td>79812</td>
</tr>
<tr>
<th>3</th>
<td>september 22</td>
<td>at mississippi state</td>
<td>none</td>
<td>scott field • starkville, ms</td>
<td>l 10-13</td>
<td>40115</td>
</tr>
<tr>
<th>4</th>
<td>september 29</td>
<td>louisville</td>
<td>none</td>
<td>m.m. roberts stadium • hattiesburg, ms</td>
<td>w 25-13</td>
<td>20545</td>
</tr>
<tr>
<th>5</th>
<td>october 6</td>
<td>at east carolina</td>
<td>none</td>
<td>ficklen memorial stadium • greenville, nc</td>
<td>w 16-7</td>
<td>31305</td>
</tr>
<tr>
<th>6</th>
<td>october 13</td>
<td>at tulane</td>
<td>none</td>
<td>louisiana superdome • new orleans, la</td>
<td>w 20-14</td>
<td>26662</td>
</tr>
<tr>
<th>7</th>
<td>october 20</td>
<td>memphis state</td>
<td>none</td>
<td>m.m. roberts stadium • hattiesburg, ms</td>
<td>w 23-7</td>
<td>24520</td>
</tr>
<tr>
<th>8</th>
<td>october 27</td>
<td>at virginia tech</td>
<td>none</td>
<td>lane stadium • blacksburg, va</td>
<td>l 16-20</td>
<td>37462</td>
</tr>
<tr>
<th>9</th>
<td>november 3</td>
<td>at sw louisiana</td>
<td>none</td>
<td>cajun field • lafayette, la</td>
<td>w 14-13</td>
<td>17860</td>
</tr>
<tr>
<th>10</th>
<td>november 10</td>
<td>at #15 auburn</td>
<td>none</td>
<td>jordan-hare stadium • auburn, al</td>
<td>w 13-12</td>
<td>85214</td>
</tr>
<tr>
<th>11</th>
<td>december 28</td>
<td>vs. nc state</td>
<td>#23</td>
<td>legion field • birmingham, al (all-american bowl)</td>
<td>l 27-31</td>
<td>44000</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>min ( "attendance" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>17590</td>
</tr>
</tbody>
</table> | select min ( attendance ) where site = 'm.m. roberts stadium • hattiesburg, ms' <table_name> : table | | date | opponent# | rank# | site | result | attendance |
|---:|:-------------|:---------------------|:--------|:--------------------------------------------------|:---------|-------------:|
| 0 | september 1 | delta state | none | m.m. roberts stadium • hattiesburg, ms | w 12-0 | 17590 |
| 1 | september 8 | at #13 alabama | none | legion field • birmingham, al | w 27-24 | 75962 |
| 2 | september 15 | at georgia | none | sanford stadium • athens, ga | l 17-18 | 79812 |
| 3 | september 22 | at mississippi state | none | scott field • starkville, ms | l 10-13 | 40115 |
| 4 | september 29 | louisville | none | m.m. roberts stadium • hattiesburg, ms | w 25-13 | 20545 |
| 5 | october 6 | at east carolina | none | ficklen memorial stadium • greenville, nc | w 16-7 | 31305 |
| 6 | october 13 | at tulane | none | louisiana superdome • new orleans, la | w 20-14 | 26662 |
| 7 | october 20 | memphis state | none | m.m. roberts stadium • hattiesburg, ms | w 23-7 | 24520 |
| 8 | october 27 | at virginia tech | none | lane stadium • blacksburg, va | l 16-20 | 37462 |
| 9 | november 3 | at sw louisiana | none | cajun field • lafayette, la | w 14-13 | 17860 |
| 10 | november 10 | at #15 auburn | none | jordan-hare stadium • auburn, al | w 13-12 | 85214 |
| 11 | december 28 | vs. nc state | #23 | legion field • birmingham, al (all-american bowl) | l 27-31 | 44000 | | | | min ( "attendance" ) |
|---:|-----------------------:|
| 0 | 17590 | | [
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select # where original air date = 'january 4, 1998' col : # | directed by | written by | original air date row 1 : 1 | frank w. smith | simon j. sharkey | september 14, 1997 row 2 : 2 | frank w. smith | simon j. sharkey | september 28, 1997 row 3 : 3 | gerry poulson | david humphries | october 5, 1997 row 4 : 4 | gerry poulson | david humphries | october 12, 1997 row 5 : 5 | john reardon | neil mckay | october 26, 1997 row 6 : 6 | john reardon | neil mckay | november 2, 1997 row 7 : 7 | frank w. smith | fran carroll | november 9, 1997 row 8 : 8 | douglas mackinnon | neil mckay | november 16, 1997 row 9 : 9 | douglas mackinnon | neil mckay | november 23, 1997 row 10 : 10 | john reardon | simon j. sharkey | november 30, 1997 row 11 : 11 | john reardon | simon j. sharkey | january 4, 1998 row 12 : 12 | ken horn | david humphries | january 11, 1998 row 13 : 13 | john reardon | simon j. sharkey | january 18, 1998 row 14 : 14 | ken horn | neil mckay | january 25, 1998 row 15 : 15 | frank w. smith | dave humphries | february 1, 1998 row 16 : 16 | douglas mackinnon | neil mckay | february 8, 1998 row 17 : 17 | graham moore | simon j. sharkey | february 15, 1998 row 18 : 18 | john reardon | simon j. sharkey | february 22, 1998 | col : # row 1 : 11 | select # where original air date = 'january 4, 1998' <table_name> : table \begin{tabular}{lllll}
\toprule
& # & directed by & written by & original air date \\
\midrule
0 & 1 & frank w. smith & simon j. sharkey & september 14, 1997 \\
1 & 2 & frank w. smith & simon j. sharkey & september 28, 1997 \\
2 & 3 & gerry poulson & david humphries & october 5, 1997 \\
3 & 4 & gerry poulson & david humphries & october 12, 1997 \\
4 & 5 & john reardon & neil mckay & october 26, 1997 \\
5 & 6 & john reardon & neil mckay & november 2, 1997 \\
6 & 7 & frank w. smith & fran carroll & november 9, 1997 \\
7 & 8 & douglas mackinnon & neil mckay & november 16, 1997 \\
8 & 9 & douglas mackinnon & neil mckay & november 23, 1997 \\
9 & 10 & john reardon & simon j. sharkey & november 30, 1997 \\
10 & 11 & john reardon & simon j. sharkey & january 4, 1998 \\
11 & 12 & ken horn & david humphries & january 11, 1998 \\
12 & 13 & john reardon & simon j. sharkey & january 18, 1998 \\
13 & 14 & ken horn & neil mckay & january 25, 1998 \\
14 & 15 & frank w. smith & dave humphries & february 1, 1998 \\
15 & 16 & douglas mackinnon & neil mckay & february 8, 1998 \\
16 & 17 & graham moore & simon j. sharkey & february 15, 1998 \\
17 & 18 & john reardon & simon j. sharkey & february 22, 1998 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& # \\
\midrule
0 & 11 \\
\bottomrule
\end{tabular}
| select # where original air date = 'january 4, 1998' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>#</th>
<th>directed by</th>
<th>written by</th>
<th>original air date</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>frank w. smith</td>
<td>simon j. sharkey</td>
<td>september 14, 1997</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>frank w. smith</td>
<td>simon j. sharkey</td>
<td>september 28, 1997</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>gerry poulson</td>
<td>david humphries</td>
<td>october 5, 1997</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>gerry poulson</td>
<td>david humphries</td>
<td>october 12, 1997</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>john reardon</td>
<td>neil mckay</td>
<td>october 26, 1997</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>john reardon</td>
<td>neil mckay</td>
<td>november 2, 1997</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>frank w. smith</td>
<td>fran carroll</td>
<td>november 9, 1997</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>douglas mackinnon</td>
<td>neil mckay</td>
<td>november 16, 1997</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>douglas mackinnon</td>
<td>neil mckay</td>
<td>november 23, 1997</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>john reardon</td>
<td>simon j. sharkey</td>
<td>november 30, 1997</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>john reardon</td>
<td>simon j. sharkey</td>
<td>january 4, 1998</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>ken horn</td>
<td>david humphries</td>
<td>january 11, 1998</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>john reardon</td>
<td>simon j. sharkey</td>
<td>january 18, 1998</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>ken horn</td>
<td>neil mckay</td>
<td>january 25, 1998</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>frank w. smith</td>
<td>dave humphries</td>
<td>february 1, 1998</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>douglas mackinnon</td>
<td>neil mckay</td>
<td>february 8, 1998</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>graham moore</td>
<td>simon j. sharkey</td>
<td>february 15, 1998</td>
</tr>
<tr>
<th>17</th>
<td>18</td>
<td>john reardon</td>
<td>simon j. sharkey</td>
<td>february 22, 1998</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>#</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>11</td>
</tr>
</tbody>
</table> | select # where original air date = 'january 4, 1998' <table_name> : table | | # | directed by | written by | original air date |
|---:|----:|:------------------|:-----------------|:--------------------|
| 0 | 1 | frank w. smith | simon j. sharkey | september 14, 1997 |
| 1 | 2 | frank w. smith | simon j. sharkey | september 28, 1997 |
| 2 | 3 | gerry poulson | david humphries | october 5, 1997 |
| 3 | 4 | gerry poulson | david humphries | october 12, 1997 |
| 4 | 5 | john reardon | neil mckay | october 26, 1997 |
| 5 | 6 | john reardon | neil mckay | november 2, 1997 |
| 6 | 7 | frank w. smith | fran carroll | november 9, 1997 |
| 7 | 8 | douglas mackinnon | neil mckay | november 16, 1997 |
| 8 | 9 | douglas mackinnon | neil mckay | november 23, 1997 |
| 9 | 10 | john reardon | simon j. sharkey | november 30, 1997 |
| 10 | 11 | john reardon | simon j. sharkey | january 4, 1998 |
| 11 | 12 | ken horn | david humphries | january 11, 1998 |
| 12 | 13 | john reardon | simon j. sharkey | january 18, 1998 |
| 13 | 14 | ken horn | neil mckay | january 25, 1998 |
| 14 | 15 | frank w. smith | dave humphries | february 1, 1998 |
| 15 | 16 | douglas mackinnon | neil mckay | february 8, 1998 |
| 16 | 17 | graham moore | simon j. sharkey | february 15, 1998 |
| 17 | 18 | john reardon | simon j. sharkey | february 22, 1998 | | | | # |
|---:|----:|
| 0 | 11 | | [
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select min ( athlete ) where penalties p+s+p+s = '3+1+0+3' col : rank | athlete | ski time | penalties p+s+p+s | total row 1 : none | zhang qing (chn) | 59:53.2 | 1+1+0+1 | 1:02:53.2 row 2 : none | dmitriy pozdnyakov (kaz) | 1:01:01.0 | 0+2+0+0 | 1:03:01.0 row 3 : none | dmitriy pantov (kaz) | 59:24.8 | 1+2+0+1 | 1:03:24.8 row 4 : 4 | hideki yamamoto (jpn) | 1:02:55.5 | 0+1+3+0 | 1:06:55.5 row 5 : 5 | qiu lianhai (chn) | 1:03:18.9 | 1+1+0+2 | 1:07:18.9 row 6 : 6 | shin byung-gook (kor) | 1:02:49.3 | 1+2+1+1 | 1:07:49.3 row 7 : 7 | son hae-kwon (kor) | 1:02:58.3 | 1+1+2+1 | 1:07:58.3 row 8 : 8 | wang xin (chn) | 1:04:42.4 | 2+1+1+1 | 1:09:42.4 row 9 : 9 | naoki shindo (jpn) | 1:03:08.5 | 3+1+0+3 | 1:10:08.5 row 10 : 9 | jeon jae-won (kor) | 1:02:08.5 | 2+2+2+2 | 1:10:08.5 row 11 : 11 | alexey karevskiy (kaz) | 1:03:28.8 | 3+1+1+2 | 1:10:28.8 row 12 : 12 | sergey abdukarov (kaz) | 1:05:11.4 | 1+2+1+3 | 1:12:11.4 row 13 : 13 | takashi shindo (jpn) | 1:01:15.0 | 3+3+2+4 | 1:13:15.0 row 14 : 14 | shinji ebisawa (jpn) | 1:04:13.6 | 3+3+1+3 | 1:14:13.6 row 15 : 15 | choi neung-chul (kor) | 1:08:50.6 | 3+2+0+1 | 1:14:50.6 row 16 : 16 | byamba enkh-amgalan (mgl) | 1:15:20.4 | 4+5+2+2 | 1:28:20.4 | col : min ( "athlete" ) row 1 : naoki shindo (jpn) | select min ( athlete ) where penalties p+s+p+s = '3+1+0+3' <table_name> : table \begin{tabular}{llllll}
\toprule
& rank & athlete & ski time & penalties p+s+p+s & total \\
\midrule
0 & none & zhang qing (chn) & 59:53.2 & 1+1+0+1 & 1:02:53.2 \\
1 & none & dmitriy pozdnyakov (kaz) & 1:01:01.0 & 0+2+0+0 & 1:03:01.0 \\
2 & none & dmitriy pantov (kaz) & 59:24.8 & 1+2+0+1 & 1:03:24.8 \\
3 & 4 & hideki yamamoto (jpn) & 1:02:55.5 & 0+1+3+0 & 1:06:55.5 \\
4 & 5 & qiu lianhai (chn) & 1:03:18.9 & 1+1+0+2 & 1:07:18.9 \\
5 & 6 & shin byung-gook (kor) & 1:02:49.3 & 1+2+1+1 & 1:07:49.3 \\
6 & 7 & son hae-kwon (kor) & 1:02:58.3 & 1+1+2+1 & 1:07:58.3 \\
7 & 8 & wang xin (chn) & 1:04:42.4 & 2+1+1+1 & 1:09:42.4 \\
8 & 9 & naoki shindo (jpn) & 1:03:08.5 & 3+1+0+3 & 1:10:08.5 \\
9 & 9 & jeon jae-won (kor) & 1:02:08.5 & 2+2+2+2 & 1:10:08.5 \\
10 & 11 & alexey karevskiy (kaz) & 1:03:28.8 & 3+1+1+2 & 1:10:28.8 \\
11 & 12 & sergey abdukarov (kaz) & 1:05:11.4 & 1+2+1+3 & 1:12:11.4 \\
12 & 13 & takashi shindo (jpn) & 1:01:15.0 & 3+3+2+4 & 1:13:15.0 \\
13 & 14 & shinji ebisawa (jpn) & 1:04:13.6 & 3+3+1+3 & 1:14:13.6 \\
14 & 15 & choi neung-chul (kor) & 1:08:50.6 & 3+2+0+1 & 1:14:50.6 \\
15 & 16 & byamba enkh-amgalan (mgl) & 1:15:20.4 & 4+5+2+2 & 1:28:20.4 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& min ( "athlete" ) \\
\midrule
0 & naoki shindo (jpn) \\
\bottomrule
\end{tabular}
| select min ( athlete ) where penalties p+s+p+s = '3+1+0+3' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>athlete</th>
<th>ski time</th>
<th>penalties p+s+p+s</th>
<th>total</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>none</td>
<td>zhang qing (chn)</td>
<td>59:53.2</td>
<td>1+1+0+1</td>
<td>1:02:53.2</td>
</tr>
<tr>
<th>1</th>
<td>none</td>
<td>dmitriy pozdnyakov (kaz)</td>
<td>1:01:01.0</td>
<td>0+2+0+0</td>
<td>1:03:01.0</td>
</tr>
<tr>
<th>2</th>
<td>none</td>
<td>dmitriy pantov (kaz)</td>
<td>59:24.8</td>
<td>1+2+0+1</td>
<td>1:03:24.8</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>hideki yamamoto (jpn)</td>
<td>1:02:55.5</td>
<td>0+1+3+0</td>
<td>1:06:55.5</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>qiu lianhai (chn)</td>
<td>1:03:18.9</td>
<td>1+1+0+2</td>
<td>1:07:18.9</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>shin byung-gook (kor)</td>
<td>1:02:49.3</td>
<td>1+2+1+1</td>
<td>1:07:49.3</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>son hae-kwon (kor)</td>
<td>1:02:58.3</td>
<td>1+1+2+1</td>
<td>1:07:58.3</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>wang xin (chn)</td>
<td>1:04:42.4</td>
<td>2+1+1+1</td>
<td>1:09:42.4</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>naoki shindo (jpn)</td>
<td>1:03:08.5</td>
<td>3+1+0+3</td>
<td>1:10:08.5</td>
</tr>
<tr>
<th>9</th>
<td>9</td>
<td>jeon jae-won (kor)</td>
<td>1:02:08.5</td>
<td>2+2+2+2</td>
<td>1:10:08.5</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>alexey karevskiy (kaz)</td>
<td>1:03:28.8</td>
<td>3+1+1+2</td>
<td>1:10:28.8</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>sergey abdukarov (kaz)</td>
<td>1:05:11.4</td>
<td>1+2+1+3</td>
<td>1:12:11.4</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>takashi shindo (jpn)</td>
<td>1:01:15.0</td>
<td>3+3+2+4</td>
<td>1:13:15.0</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>shinji ebisawa (jpn)</td>
<td>1:04:13.6</td>
<td>3+3+1+3</td>
<td>1:14:13.6</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>choi neung-chul (kor)</td>
<td>1:08:50.6</td>
<td>3+2+0+1</td>
<td>1:14:50.6</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>byamba enkh-amgalan (mgl)</td>
<td>1:15:20.4</td>
<td>4+5+2+2</td>
<td>1:28:20.4</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>min ( "athlete" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>naoki shindo (jpn)</td>
</tr>
</tbody>
</table> | select min ( athlete ) where penalties p+s+p+s = '3+1+0+3' <table_name> : table | | rank | athlete | ski time | penalties p+s+p+s | total |
|---:|:-------|:--------------------------|:-----------|:--------------------|:----------|
| 0 | none | zhang qing (chn) | 59:53.2 | 1+1+0+1 | 1:02:53.2 |
| 1 | none | dmitriy pozdnyakov (kaz) | 1:01:01.0 | 0+2+0+0 | 1:03:01.0 |
| 2 | none | dmitriy pantov (kaz) | 59:24.8 | 1+2+0+1 | 1:03:24.8 |
| 3 | 4 | hideki yamamoto (jpn) | 1:02:55.5 | 0+1+3+0 | 1:06:55.5 |
| 4 | 5 | qiu lianhai (chn) | 1:03:18.9 | 1+1+0+2 | 1:07:18.9 |
| 5 | 6 | shin byung-gook (kor) | 1:02:49.3 | 1+2+1+1 | 1:07:49.3 |
| 6 | 7 | son hae-kwon (kor) | 1:02:58.3 | 1+1+2+1 | 1:07:58.3 |
| 7 | 8 | wang xin (chn) | 1:04:42.4 | 2+1+1+1 | 1:09:42.4 |
| 8 | 9 | naoki shindo (jpn) | 1:03:08.5 | 3+1+0+3 | 1:10:08.5 |
| 9 | 9 | jeon jae-won (kor) | 1:02:08.5 | 2+2+2+2 | 1:10:08.5 |
| 10 | 11 | alexey karevskiy (kaz) | 1:03:28.8 | 3+1+1+2 | 1:10:28.8 |
| 11 | 12 | sergey abdukarov (kaz) | 1:05:11.4 | 1+2+1+3 | 1:12:11.4 |
| 12 | 13 | takashi shindo (jpn) | 1:01:15.0 | 3+3+2+4 | 1:13:15.0 |
| 13 | 14 | shinji ebisawa (jpn) | 1:04:13.6 | 3+3+1+3 | 1:14:13.6 |
| 14 | 15 | choi neung-chul (kor) | 1:08:50.6 | 3+2+0+1 | 1:14:50.6 |
| 15 | 16 | byamba enkh-amgalan (mgl) | 1:15:20.4 | 4+5+2+2 | 1:28:20.4 | | | | min ( "athlete" ) |
|---:|:--------------------|
| 0 | naoki shindo (jpn) | | [
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0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
]
] |
select count ( * ) where away team = 'none' col : rd | home team | score | away team | result (w/d/l) | attendance row 1 : 1 | harlequins rl | 28-47 | wigan warriors | l | 8041 row 2 : 2 | hull | 6-24 | harlequins rl | w | 13313 row 3 : 3 | harlequins rl | 34-18 | wakefield trinity wildcats | w | 3176 row 4 : 4 | castleford tigers | 16-22 | harlequins rl | w | 6268 row 5 : 5 | harlequins rl | 24-0 | huddersfield giants | w | 3284 row 6 : 6 | none | none | none | none | none row 7 : 7 | none | none | none | none | none row 8 : ccc4 | none | none | none | none | none row 9 : 8 | none | none | none | none | none row 10 : 9 | none | none | none | none | none row 11 : 10 | none | none | none | none | none row 12 : 11 | none | none | none | none | none row 13 : 12 | none | none | none | none | none row 14 : 13 (a) | none | none | none | none | none row 15 : 14 | none | none | none | none | none row 16 : 15 | none | none | none | none | none row 17 : 16 | none | none | none | none | none row 18 : 17 | none | none | none | none | none row 19 : 18 | none | none | none | none | none row 20 : 19 | none | none | none | none | none row 21 : 20 | none | none | none | none | none row 22 : 21 | none | none | none | none | none row 23 : 22 | none | none | none | none | none row 24 : 23 | none | none | none | none | none row 25 : 24 | none | none | none | none | none row 26 : 25 | none | none | none | none | none row 27 : 26 | none | none | none | none | none row 28 : 27 | none | none | none | none | none row 29 : esl po1 | none | none | none | none | none row 30 : esl po2 | none | none | none | none | none row 31 : esl po3 | none | none | none | none | none row 32 : esl gf | none | none | none | none | none | col : count ( "*" ) row 1 : 27 | select count ( * ) where away team = 'none' <table_name> : table \begin{tabular}{lllllll}
\toprule
& rd & home team & score & away team & result (w/d/l) & attendance \\
\midrule
0 & 1 & harlequins rl & 28-47 & wigan warriors & l & 8041 \\
1 & 2 & hull & 6-24 & harlequins rl & w & 13313 \\
2 & 3 & harlequins rl & 34-18 & wakefield trinity wildcats & w & 3176 \\
3 & 4 & castleford tigers & 16-22 & harlequins rl & w & 6268 \\
4 & 5 & harlequins rl & 24-0 & huddersfield giants & w & 3284 \\
5 & 6 & none & none & none & none & none \\
6 & 7 & none & none & none & none & none \\
7 & ccc4 & none & none & none & none & none \\
8 & 8 & none & none & none & none & none \\
9 & 9 & none & none & none & none & none \\
10 & 10 & none & none & none & none & none \\
11 & 11 & none & none & none & none & none \\
12 & 12 & none & none & none & none & none \\
13 & 13 (a) & none & none & none & none & none \\
14 & 14 & none & none & none & none & none \\
15 & 15 & none & none & none & none & none \\
16 & 16 & none & none & none & none & none \\
17 & 17 & none & none & none & none & none \\
18 & 18 & none & none & none & none & none \\
19 & 19 & none & none & none & none & none \\
20 & 20 & none & none & none & none & none \\
21 & 21 & none & none & none & none & none \\
22 & 22 & none & none & none & none & none \\
23 & 23 & none & none & none & none & none \\
24 & 24 & none & none & none & none & none \\
25 & 25 & none & none & none & none & none \\
26 & 26 & none & none & none & none & none \\
27 & 27 & none & none & none & none & none \\
28 & esl po1 & none & none & none & none & none \\
29 & esl po2 & none & none & none & none & none \\
30 & esl po3 & none & none & none & none & none \\
31 & esl gf & none & none & none & none & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 27 \\
\bottomrule
\end{tabular}
| select count ( * ) where away team = 'none' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rd</th>
<th>home team</th>
<th>score</th>
<th>away team</th>
<th>result (w/d/l)</th>
<th>attendance</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>harlequins rl</td>
<td>28-47</td>
<td>wigan warriors</td>
<td>l</td>
<td>8041</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>hull</td>
<td>6-24</td>
<td>harlequins rl</td>
<td>w</td>
<td>13313</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>harlequins rl</td>
<td>34-18</td>
<td>wakefield trinity wildcats</td>
<td>w</td>
<td>3176</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>castleford tigers</td>
<td>16-22</td>
<td>harlequins rl</td>
<td>w</td>
<td>6268</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>harlequins rl</td>
<td>24-0</td>
<td>huddersfield giants</td>
<td>w</td>
<td>3284</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>ccc4</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>8</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>9</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>10</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>11</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>12</th>
<td>12</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>13 (a)</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>14</th>
<td>14</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>15</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>16</th>
<td>16</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>17</th>
<td>17</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>18</th>
<td>18</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>19</th>
<td>19</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>20</th>
<td>20</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>21</th>
<td>21</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>22</th>
<td>22</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>23</th>
<td>23</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>24</th>
<td>24</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>25</th>
<td>25</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>26</th>
<td>26</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>27</th>
<td>27</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>28</th>
<td>esl po1</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>29</th>
<td>esl po2</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>30</th>
<td>esl po3</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>31</th>
<td>esl gf</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>27</td>
</tr>
</tbody>
</table> | select count ( * ) where away team = 'none' <table_name> : table | | rd | home team | score | away team | result (w/d/l) | attendance |
|---:|:--------|:------------------|:--------|:---------------------------|:-----------------|:-------------|
| 0 | 1 | harlequins rl | 28-47 | wigan warriors | l | 8041 |
| 1 | 2 | hull | 6-24 | harlequins rl | w | 13313 |
| 2 | 3 | harlequins rl | 34-18 | wakefield trinity wildcats | w | 3176 |
| 3 | 4 | castleford tigers | 16-22 | harlequins rl | w | 6268 |
| 4 | 5 | harlequins rl | 24-0 | huddersfield giants | w | 3284 |
| 5 | 6 | none | none | none | none | none |
| 6 | 7 | none | none | none | none | none |
| 7 | ccc4 | none | none | none | none | none |
| 8 | 8 | none | none | none | none | none |
| 9 | 9 | none | none | none | none | none |
| 10 | 10 | none | none | none | none | none |
| 11 | 11 | none | none | none | none | none |
| 12 | 12 | none | none | none | none | none |
| 13 | 13 (a) | none | none | none | none | none |
| 14 | 14 | none | none | none | none | none |
| 15 | 15 | none | none | none | none | none |
| 16 | 16 | none | none | none | none | none |
| 17 | 17 | none | none | none | none | none |
| 18 | 18 | none | none | none | none | none |
| 19 | 19 | none | none | none | none | none |
| 20 | 20 | none | none | none | none | none |
| 21 | 21 | none | none | none | none | none |
| 22 | 22 | none | none | none | none | none |
| 23 | 23 | none | none | none | none | none |
| 24 | 24 | none | none | none | none | none |
| 25 | 25 | none | none | none | none | none |
| 26 | 26 | none | none | none | none | none |
| 27 | 27 | none | none | none | none | none |
| 28 | esl po1 | none | none | none | none | none |
| 29 | esl po2 | none | none | none | none | none |
| 30 | esl po3 | none | none | none | none | none |
| 31 | esl gf | none | none | none | none | none | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 27 | | [
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select count ( * ) where date of creation = 'may 14, 1878' col : title | date of creation | surname | first titular row 1 : duke of abrantes | december 9, 1753 | lorena | ana maria catarina henriqueta de lorena row 2 : duke of albuquerque | may 19, 1886 | costa de sousa de macedo | joao afonso da costa de sousa de macedo row 3 : duke of aveiro | b. 1535 | lencastre mascarenhas da silva e lencastre | john of lencastre, 1st marquis of torres novas row 4 : duke of avila and bolama | may 14, 1878 | avila | antonio jose de avila row 5 : duke of barcelos | august 5, 1562 | braganca | john, 6th duke of braganza row 6 : duke of beja | 1453 | portugal-aviz braganca | ferdinand, duke of viseu row 7 : duke of braganza | 1442 | braganca | afonso, count of barcelos row 8 : duke of cadaval | april 26, 1648 | alvares pereira de melo | nuno alvares pereira de melo row 9 : duke of caminha | december 14, 1620 | menezes | miguel luis de menezes row 10 : duke of coimbra | 1415 | portugal-aviz lencastre braganca | pedro, prince of portugal row 11 : duke of faial | april 4, 1833 | sousa holstein | pedro de sousa holstein row 12 : duke of ficalho | may 14, 1836 | almeida | eugenia mauricia tomasia de almeida portugal row 13 : duke of goa | 1515 | albuquerque | afonso de albuquerque row 14 : duke of guarda | october 5, 1530 | portugal-aviz | ferdinand, prince of portugal row 15 : duke of guimaraes | 1475 | braganca | fernando ii, duke of braganza row 16 : duke of lafoes | february 17, 1718 | braganca braganca e ligne de sousa tavares mascarenhas da silva | pedro henrique de braganca row 17 : duke of linhares | none | noronha | fernando de noronha row 18 : duke of loule | october 3, 1852 | mendonca rolim de moura barreto | nuno jose severo de mendonca rolim de moura barreto row 19 : duke of miranda do corvo | may 13, 1796 | braganca e ligne de sousa tavares mascarenhas da silva | jose sousa tavares mascaranhas da silva row 20 : duke of palmela | october 10, 1850 | sousa holstein | pedro de sousa holstein row 21 : duke of porto | 1833 | braganca | maria, princess of portugal (future queen maria ii) row 22 : duke of saldanha | november 4, 1846 | saldanha oliveira e daun | joao francisco de saldanha oliveira e daun row 23 : duke of tancos | april 22, 1790 | manoel | constanca manoel row 24 : duke of terceira | november 8, 1832 | manoel e meneses severim de noronha | antonio jose de sousa manoel e meneses severim de noronha row 25 : duke of torres novas | september 26, 1619 | lencastre | george of lencastre row 26 : duke of trancoso | 1530 | portugal-aviz | ferdinand, prince of portugal row 27 : duke of vila real | february 28, 1585 | menezes | manuel de menezes row 28 : duke of viseu | 1415 | portugal-aviz | henry, the navigator, prince of portugal row 29 : duke of vitoria | december 12, 1812 | wellesley | arthur wellesley, duke of wellington | col : count ( "*" ) row 1 : 1 | select count ( * ) where date of creation = 'may 14, 1878' <table_name> : table \begin{tabular}{lllll}
\toprule
& title & date of creation & surname & first titular \\
\midrule
0 & duke of abrantes & december 9, 1753 & lorena & ana maria catarina henriqueta de lorena \\
1 & duke of albuquerque & may 19, 1886 & costa de sousa de macedo & joao afonso da costa de sousa de macedo \\
2 & duke of aveiro & b. 1535 & lencastre mascarenhas da silva e lencastre & john of lencastre, 1st marquis of torres novas \\
3 & duke of avila and bolama & may 14, 1878 & avila & antonio jose de avila \\
4 & duke of barcelos & august 5, 1562 & braganca & john, 6th duke of braganza \\
5 & duke of beja & 1453 & portugal-aviz braganca & ferdinand, duke of viseu \\
6 & duke of braganza & 1442 & braganca & afonso, count of barcelos \\
7 & duke of cadaval & april 26, 1648 & alvares pereira de melo & nuno alvares pereira de melo \\
8 & duke of caminha & december 14, 1620 & menezes & miguel luis de menezes \\
9 & duke of coimbra & 1415 & portugal-aviz lencastre braganca & pedro, prince of portugal \\
10 & duke of faial & april 4, 1833 & sousa holstein & pedro de sousa holstein \\
11 & duke of ficalho & may 14, 1836 & almeida & eugenia mauricia tomasia de almeida portugal \\
12 & duke of goa & 1515 & albuquerque & afonso de albuquerque \\
13 & duke of guarda & october 5, 1530 & portugal-aviz & ferdinand, prince of portugal \\
14 & duke of guimaraes & 1475 & braganca & fernando ii, duke of braganza \\
15 & duke of lafoes & february 17, 1718 & braganca braganca e ligne de sousa tavares mascarenhas da silva & pedro henrique de braganca \\
16 & duke of linhares & none & noronha & fernando de noronha \\
17 & duke of loule & october 3, 1852 & mendonca rolim de moura barreto & nuno jose severo de mendonca rolim de moura barreto \\
18 & duke of miranda do corvo & may 13, 1796 & braganca e ligne de sousa tavares mascarenhas da silva & jose sousa tavares mascaranhas da silva \\
19 & duke of palmela & october 10, 1850 & sousa holstein & pedro de sousa holstein \\
20 & duke of porto & 1833 & braganca & maria, princess of portugal (future queen maria ii) \\
21 & duke of saldanha & november 4, 1846 & saldanha oliveira e daun & joao francisco de saldanha oliveira e daun \\
22 & duke of tancos & april 22, 1790 & manoel & constanca manoel \\
23 & duke of terceira & november 8, 1832 & manoel e meneses severim de noronha & antonio jose de sousa manoel e meneses severim de noronha \\
24 & duke of torres novas & september 26, 1619 & lencastre & george of lencastre \\
25 & duke of trancoso & 1530 & portugal-aviz & ferdinand, prince of portugal \\
26 & duke of vila real & february 28, 1585 & menezes & manuel de menezes \\
27 & duke of viseu & 1415 & portugal-aviz & henry, the navigator, prince of portugal \\
28 & duke of vitoria & december 12, 1812 & wellesley & arthur wellesley, duke of wellington \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( * ) where date of creation = 'may 14, 1878' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>title</th>
<th>date of creation</th>
<th>surname</th>
<th>first titular</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>duke of abrantes</td>
<td>december 9, 1753</td>
<td>lorena</td>
<td>ana maria catarina henriqueta de lorena</td>
</tr>
<tr>
<th>1</th>
<td>duke of albuquerque</td>
<td>may 19, 1886</td>
<td>costa de sousa de macedo</td>
<td>joao afonso da costa de sousa de macedo</td>
</tr>
<tr>
<th>2</th>
<td>duke of aveiro</td>
<td>b. 1535</td>
<td>lencastre mascarenhas da silva e lencastre</td>
<td>john of lencastre, 1st marquis of torres novas</td>
</tr>
<tr>
<th>3</th>
<td>duke of avila and bolama</td>
<td>may 14, 1878</td>
<td>avila</td>
<td>antonio jose de avila</td>
</tr>
<tr>
<th>4</th>
<td>duke of barcelos</td>
<td>august 5, 1562</td>
<td>braganca</td>
<td>john, 6th duke of braganza</td>
</tr>
<tr>
<th>5</th>
<td>duke of beja</td>
<td>1453</td>
<td>portugal-aviz braganca</td>
<td>ferdinand, duke of viseu</td>
</tr>
<tr>
<th>6</th>
<td>duke of braganza</td>
<td>1442</td>
<td>braganca</td>
<td>afonso, count of barcelos</td>
</tr>
<tr>
<th>7</th>
<td>duke of cadaval</td>
<td>april 26, 1648</td>
<td>alvares pereira de melo</td>
<td>nuno alvares pereira de melo</td>
</tr>
<tr>
<th>8</th>
<td>duke of caminha</td>
<td>december 14, 1620</td>
<td>menezes</td>
<td>miguel luis de menezes</td>
</tr>
<tr>
<th>9</th>
<td>duke of coimbra</td>
<td>1415</td>
<td>portugal-aviz lencastre braganca</td>
<td>pedro, prince of portugal</td>
</tr>
<tr>
<th>10</th>
<td>duke of faial</td>
<td>april 4, 1833</td>
<td>sousa holstein</td>
<td>pedro de sousa holstein</td>
</tr>
<tr>
<th>11</th>
<td>duke of ficalho</td>
<td>may 14, 1836</td>
<td>almeida</td>
<td>eugenia mauricia tomasia de almeida portugal</td>
</tr>
<tr>
<th>12</th>
<td>duke of goa</td>
<td>1515</td>
<td>albuquerque</td>
<td>afonso de albuquerque</td>
</tr>
<tr>
<th>13</th>
<td>duke of guarda</td>
<td>october 5, 1530</td>
<td>portugal-aviz</td>
<td>ferdinand, prince of portugal</td>
</tr>
<tr>
<th>14</th>
<td>duke of guimaraes</td>
<td>1475</td>
<td>braganca</td>
<td>fernando ii, duke of braganza</td>
</tr>
<tr>
<th>15</th>
<td>duke of lafoes</td>
<td>february 17, 1718</td>
<td>braganca braganca e ligne de sousa tavares mascarenhas da silva</td>
<td>pedro henrique de braganca</td>
</tr>
<tr>
<th>16</th>
<td>duke of linhares</td>
<td>none</td>
<td>noronha</td>
<td>fernando de noronha</td>
</tr>
<tr>
<th>17</th>
<td>duke of loule</td>
<td>october 3, 1852</td>
<td>mendonca rolim de moura barreto</td>
<td>nuno jose severo de mendonca rolim de moura barreto</td>
</tr>
<tr>
<th>18</th>
<td>duke of miranda do corvo</td>
<td>may 13, 1796</td>
<td>braganca e ligne de sousa tavares mascarenhas da silva</td>
<td>jose sousa tavares mascaranhas da silva</td>
</tr>
<tr>
<th>19</th>
<td>duke of palmela</td>
<td>october 10, 1850</td>
<td>sousa holstein</td>
<td>pedro de sousa holstein</td>
</tr>
<tr>
<th>20</th>
<td>duke of porto</td>
<td>1833</td>
<td>braganca</td>
<td>maria, princess of portugal (future queen maria ii)</td>
</tr>
<tr>
<th>21</th>
<td>duke of saldanha</td>
<td>november 4, 1846</td>
<td>saldanha oliveira e daun</td>
<td>joao francisco de saldanha oliveira e daun</td>
</tr>
<tr>
<th>22</th>
<td>duke of tancos</td>
<td>april 22, 1790</td>
<td>manoel</td>
<td>constanca manoel</td>
</tr>
<tr>
<th>23</th>
<td>duke of terceira</td>
<td>november 8, 1832</td>
<td>manoel e meneses severim de noronha</td>
<td>antonio jose de sousa manoel e meneses severim de noronha</td>
</tr>
<tr>
<th>24</th>
<td>duke of torres novas</td>
<td>september 26, 1619</td>
<td>lencastre</td>
<td>george of lencastre</td>
</tr>
<tr>
<th>25</th>
<td>duke of trancoso</td>
<td>1530</td>
<td>portugal-aviz</td>
<td>ferdinand, prince of portugal</td>
</tr>
<tr>
<th>26</th>
<td>duke of vila real</td>
<td>february 28, 1585</td>
<td>menezes</td>
<td>manuel de menezes</td>
</tr>
<tr>
<th>27</th>
<td>duke of viseu</td>
<td>1415</td>
<td>portugal-aviz</td>
<td>henry, the navigator, prince of portugal</td>
</tr>
<tr>
<th>28</th>
<td>duke of vitoria</td>
<td>december 12, 1812</td>
<td>wellesley</td>
<td>arthur wellesley, duke of wellington</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( * ) where date of creation = 'may 14, 1878' <table_name> : table | | title | date of creation | surname | first titular |
|---:|:-------------------------|:-------------------|:----------------------------------------------------------------|:----------------------------------------------------------|
| 0 | duke of abrantes | december 9, 1753 | lorena | ana maria catarina henriqueta de lorena |
| 1 | duke of albuquerque | may 19, 1886 | costa de sousa de macedo | joao afonso da costa de sousa de macedo |
| 2 | duke of aveiro | b. 1535 | lencastre mascarenhas da silva e lencastre | john of lencastre, 1st marquis of torres novas |
| 3 | duke of avila and bolama | may 14, 1878 | avila | antonio jose de avila |
| 4 | duke of barcelos | august 5, 1562 | braganca | john, 6th duke of braganza |
| 5 | duke of beja | 1453 | portugal-aviz braganca | ferdinand, duke of viseu |
| 6 | duke of braganza | 1442 | braganca | afonso, count of barcelos |
| 7 | duke of cadaval | april 26, 1648 | alvares pereira de melo | nuno alvares pereira de melo |
| 8 | duke of caminha | december 14, 1620 | menezes | miguel luis de menezes |
| 9 | duke of coimbra | 1415 | portugal-aviz lencastre braganca | pedro, prince of portugal |
| 10 | duke of faial | april 4, 1833 | sousa holstein | pedro de sousa holstein |
| 11 | duke of ficalho | may 14, 1836 | almeida | eugenia mauricia tomasia de almeida portugal |
| 12 | duke of goa | 1515 | albuquerque | afonso de albuquerque |
| 13 | duke of guarda | october 5, 1530 | portugal-aviz | ferdinand, prince of portugal |
| 14 | duke of guimaraes | 1475 | braganca | fernando ii, duke of braganza |
| 15 | duke of lafoes | february 17, 1718 | braganca braganca e ligne de sousa tavares mascarenhas da silva | pedro henrique de braganca |
| 16 | duke of linhares | none | noronha | fernando de noronha |
| 17 | duke of loule | october 3, 1852 | mendonca rolim de moura barreto | nuno jose severo de mendonca rolim de moura barreto |
| 18 | duke of miranda do corvo | may 13, 1796 | braganca e ligne de sousa tavares mascarenhas da silva | jose sousa tavares mascaranhas da silva |
| 19 | duke of palmela | october 10, 1850 | sousa holstein | pedro de sousa holstein |
| 20 | duke of porto | 1833 | braganca | maria, princess of portugal (future queen maria ii) |
| 21 | duke of saldanha | november 4, 1846 | saldanha oliveira e daun | joao francisco de saldanha oliveira e daun |
| 22 | duke of tancos | april 22, 1790 | manoel | constanca manoel |
| 23 | duke of terceira | november 8, 1832 | manoel e meneses severim de noronha | antonio jose de sousa manoel e meneses severim de noronha |
| 24 | duke of torres novas | september 26, 1619 | lencastre | george of lencastre |
| 25 | duke of trancoso | 1530 | portugal-aviz | ferdinand, prince of portugal |
| 26 | duke of vila real | february 28, 1585 | menezes | manuel de menezes |
| 27 | duke of viseu | 1415 | portugal-aviz | henry, the navigator, prince of portugal |
| 28 | duke of vitoria | december 12, 1812 | wellesley | arthur wellesley, duke of wellington | | | | count ( "*" ) |
|---:|----------------:|
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select original work where s no. = 's.399' col : original work | liszt work | forces | date | s no. | notes row 1 : opera lucrezia borgia (1833) | reminiscences de lucrezia borgia | piano | 1840 | s.400 | the sections are: (1) trio du second acte and (2) fantaisie sur des motifs favoris de l'opera: chanson a boire (orgie), duo and finale row 2 : opera lucia di lammermoor (1835) | reminiscences de lucia di lammermoor | piano | 1835-36 | s.397 | based on the sextet row 3 : opera lucia di lammermoor (1835) | marche et cavatine de lucie de lammermoor | piano | 1835-36 | s.398 | intended as part of the reminiscences (s.397) but separated by the publisher row 4 : lucia di lammermoor | valse a capriccio sur deux motifs de lucia et parisina | piano | 1842 | s.401 | combines motifs from lucia di lammermoor and parisina. the valse a capriccio, s.401 was revised as no. 3 of 3 caprices-valses, s.214 (1850-52) row 5 : opera parisina (1833) | valse a capriccio sur deux motifs de lucia et parisina | piano | 1842 | s.401 | combines motifs from lucia di lammermoor and parisina. the valse a capriccio, s.401 was revised as no. 3 of 3 caprices-valses, s.214 (1850-52) row 6 : nuits d'ete a pausilippe, 12 ariettas and nocturnes (voices and chamber ensemble; 1836): no. 1, "barcajuolo" no. 9, "l'alito di bice" no. 4, "la torre di biasone" | nuits d'ete a pausilippe | piano | 1838 | s.399 | none row 7 : opera la favorite (1840): duettino (act iv) | spirito gentil | piano | 1847 | s.400a | possibly same as s.742 row 8 : opera dom sebastien (1843): funeral march | marche funebre de dom sebastien | piano | 1844 | s.402 | none row 9 : act iv | paraphrase | piano | none | s.744 | lost; this was based on theodor kullak's transcription (paraphrase), op. 31, which was itself dedicated to liszt row 10 : "duettino" | transcription | piano | none | s.742 | lost. possibly same as s.400a | col : original work row 1 : nuits d'ete a pausilippe, 12 ariettas and nocturnes (voices and chamber ensemble; 1836): no. 1, "barcajuolo" no. 9, "l'alito di bice" no. 4, "la torre di biasone" | select original work where s no. = 's.399' <table_name> : table \begin{tabular}{lllllll}
\toprule
& original work & liszt work & forces & date & s no. & notes \\
\midrule
0 & opera lucrezia borgia (1833) & reminiscences de lucrezia borgia & piano & 1840 & s.400 & the sections are: (1) trio du second acte and (2) fantaisie sur des motifs favoris de l'opera: chanson a boire (orgie), duo and finale \\
1 & opera lucia di lammermoor (1835) & reminiscences de lucia di lammermoor & piano & 1835-36 & s.397 & based on the sextet \\
2 & opera lucia di lammermoor (1835) & marche et cavatine de lucie de lammermoor & piano & 1835-36 & s.398 & intended as part of the reminiscences (s.397) but separated by the publisher \\
3 & lucia di lammermoor & valse a capriccio sur deux motifs de lucia et parisina & piano & 1842 & s.401 & combines motifs from lucia di lammermoor and parisina. the valse a capriccio, s.401 was revised as no. 3 of 3 caprices-valses, s.214 (1850-52) \\
4 & opera parisina (1833) & valse a capriccio sur deux motifs de lucia et parisina & piano & 1842 & s.401 & combines motifs from lucia di lammermoor and parisina. the valse a capriccio, s.401 was revised as no. 3 of 3 caprices-valses, s.214 (1850-52) \\
5 & nuits d'ete a pausilippe, 12 ariettas and nocturnes (voices and chamber ensemble; 1836): no. 1, "barcajuolo" no. 9, "l'alito di bice" no. 4, "la torre di biasone" & nuits d'ete a pausilippe & piano & 1838 & s.399 & none \\
6 & opera la favorite (1840): duettino (act iv) & spirito gentil & piano & 1847 & s.400a & possibly same as s.742 \\
7 & opera dom sebastien (1843): funeral march & marche funebre de dom sebastien & piano & 1844 & s.402 & none \\
8 & act iv & paraphrase & piano & none & s.744 & lost; this was based on theodor kullak's transcription (paraphrase), op. 31, which was itself dedicated to liszt \\
9 & "duettino" & transcription & piano & none & s.742 & lost. possibly same as s.400a \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& original work \\
\midrule
0 & nuits d'ete a pausilippe, 12 ariettas and nocturnes (voices and chamber ensemble; 1836): no. 1, "barcajuolo" no. 9, "l'alito di bice" no. 4, "la torre di biasone" \\
\bottomrule
\end{tabular}
| select original work where s no. = 's.399' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>original work</th>
<th>liszt work</th>
<th>forces</th>
<th>date</th>
<th>s no.</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>opera lucrezia borgia (1833)</td>
<td>reminiscences de lucrezia borgia</td>
<td>piano</td>
<td>1840</td>
<td>s.400</td>
<td>the sections are: (1) trio du second acte and (2) fantaisie sur des motifs favoris de l'opera: chanson a boire (orgie), duo and finale</td>
</tr>
<tr>
<th>1</th>
<td>opera lucia di lammermoor (1835)</td>
<td>reminiscences de lucia di lammermoor</td>
<td>piano</td>
<td>1835-36</td>
<td>s.397</td>
<td>based on the sextet</td>
</tr>
<tr>
<th>2</th>
<td>opera lucia di lammermoor (1835)</td>
<td>marche et cavatine de lucie de lammermoor</td>
<td>piano</td>
<td>1835-36</td>
<td>s.398</td>
<td>intended as part of the reminiscences (s.397) but separated by the publisher</td>
</tr>
<tr>
<th>3</th>
<td>lucia di lammermoor</td>
<td>valse a capriccio sur deux motifs de lucia et parisina</td>
<td>piano</td>
<td>1842</td>
<td>s.401</td>
<td>combines motifs from lucia di lammermoor and parisina. the valse a capriccio, s.401 was revised as no. 3 of 3 caprices-valses, s.214 (1850-52)</td>
</tr>
<tr>
<th>4</th>
<td>opera parisina (1833)</td>
<td>valse a capriccio sur deux motifs de lucia et parisina</td>
<td>piano</td>
<td>1842</td>
<td>s.401</td>
<td>combines motifs from lucia di lammermoor and parisina. the valse a capriccio, s.401 was revised as no. 3 of 3 caprices-valses, s.214 (1850-52)</td>
</tr>
<tr>
<th>5</th>
<td>nuits d'ete a pausilippe, 12 ariettas and nocturnes (voices and chamber ensemble; 1836): no. 1, "barcajuolo" no. 9, "l'alito di bice" no. 4, "la torre di biasone"</td>
<td>nuits d'ete a pausilippe</td>
<td>piano</td>
<td>1838</td>
<td>s.399</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>opera la favorite (1840): duettino (act iv)</td>
<td>spirito gentil</td>
<td>piano</td>
<td>1847</td>
<td>s.400a</td>
<td>possibly same as s.742</td>
</tr>
<tr>
<th>7</th>
<td>opera dom sebastien (1843): funeral march</td>
<td>marche funebre de dom sebastien</td>
<td>piano</td>
<td>1844</td>
<td>s.402</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>act iv</td>
<td>paraphrase</td>
<td>piano</td>
<td>none</td>
<td>s.744</td>
<td>lost; this was based on theodor kullak's transcription (paraphrase), op. 31, which was itself dedicated to liszt</td>
</tr>
<tr>
<th>9</th>
<td>"duettino"</td>
<td>transcription</td>
<td>piano</td>
<td>none</td>
<td>s.742</td>
<td>lost. possibly same as s.400a</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>original work</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>nuits d'ete a pausilippe, 12 ariettas and nocturnes (voices and chamber ensemble; 1836): no. 1, "barcajuolo" no. 9, "l'alito di bice" no. 4, "la torre di biasone"</td>
</tr>
</tbody>
</table> | select original work where s no. = 's.399' <table_name> : table | | original work | liszt work | forces | date | s no. | notes |
|---:|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------------------------------------------------------|:---------|:--------|:--------|:-----------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | opera lucrezia borgia (1833) | reminiscences de lucrezia borgia | piano | 1840 | s.400 | the sections are: (1) trio du second acte and (2) fantaisie sur des motifs favoris de l'opera: chanson a boire (orgie), duo and finale |
| 1 | opera lucia di lammermoor (1835) | reminiscences de lucia di lammermoor | piano | 1835-36 | s.397 | based on the sextet |
| 2 | opera lucia di lammermoor (1835) | marche et cavatine de lucie de lammermoor | piano | 1835-36 | s.398 | intended as part of the reminiscences (s.397) but separated by the publisher |
| 3 | lucia di lammermoor | valse a capriccio sur deux motifs de lucia et parisina | piano | 1842 | s.401 | combines motifs from lucia di lammermoor and parisina. the valse a capriccio, s.401 was revised as no. 3 of 3 caprices-valses, s.214 (1850-52) |
| 4 | opera parisina (1833) | valse a capriccio sur deux motifs de lucia et parisina | piano | 1842 | s.401 | combines motifs from lucia di lammermoor and parisina. the valse a capriccio, s.401 was revised as no. 3 of 3 caprices-valses, s.214 (1850-52) |
| 5 | nuits d'ete a pausilippe, 12 ariettas and nocturnes (voices and chamber ensemble; 1836): no. 1, "barcajuolo" no. 9, "l'alito di bice" no. 4, "la torre di biasone" | nuits d'ete a pausilippe | piano | 1838 | s.399 | none |
| 6 | opera la favorite (1840): duettino (act iv) | spirito gentil | piano | 1847 | s.400a | possibly same as s.742 |
| 7 | opera dom sebastien (1843): funeral march | marche funebre de dom sebastien | piano | 1844 | s.402 | none |
| 8 | act iv | paraphrase | piano | none | s.744 | lost; this was based on theodor kullak's transcription (paraphrase), op. 31, which was itself dedicated to liszt |
| 9 | "duettino" | transcription | piano | none | s.742 | lost. possibly same as s.400a | | | | original work |
|---:|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | nuits d'ete a pausilippe, 12 ariettas and nocturnes (voices and chamber ensemble; 1836): no. 1, "barcajuolo" no. 9, "l'alito di bice" no. 4, "la torre di biasone" | | [
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select opponent where score = '3-1' col : # | date | venue | opponent | score | result | competition row 1 : 1 | 1996-01-10 00:00:00 | edison international field, anaheim, united states | honduras | 1-0 | 3-1 | 1996 concacaf gold cup row 2 : 2 | 1996-08-30 00:00:00 | commonwealth stadium, edmonton, canada | panama | 3-1 | 3-1 | 1998 fifa world cup qualification row 3 : 3 | 1997-10-12 00:00:00 | commonwealth stadium, edmonton, canada | mexico | 2-1 | 2-2 | 1998 fifa world cup qualification row 4 : 4 | 1999-10-08 00:00:00 | los angeles memorial coliseum, los angeles, united states | el salvador | 1-0 | 2-1 | 2000 concacaf gold cup qualification play off row 5 : 5 | 1999-10-10 00:00:00 | los angeles memorial coliseum, los angeles, united states | haiti | 1-0 | 2-1 | 2000 concacaf gold cup qualification play off row 6 : 6 | 1999-10-10 00:00:00 | los angeles memorial coliseum, los angeles, united states | haiti | 2-0 | 2-2 | 2000 concacaf gold cup qualification play off row 7 : 7 | 2000-02-13 00:00:00 | qualcomm stadium, san diego, united states | costa rica | 1-1 | 2-2 | 2000 concacaf gold cup row 8 : 8 | 2000-02-13 00:00:00 | qualcomm stadium, san diego, united states | costa rica | 2-2 | 2-2 | 2000 concacaf gold cup row 9 : 9 | 2000-02-20 00:00:00 | qualcomm stadium, san diego, united states | mexico | 1-1 | 2-1 | 2000 concacaf gold cup row 10 : 10 | 2000-02-27 00:00:00 | los angeles memorial coliseum, los angeles, united states | colombia | 2-0 | 2-0 | 2000 concacaf gold cup row 11 : 11 | 2004-01-18 00:00:00 | bridgetown, barbados | barbados | 1-0 | 1-0 | friendly match | col : opponent row 1 : panama | select opponent where score = '3-1' <table_name> : table \begin{tabular}{llllllll}
\toprule
& # & date & venue & opponent & score & result & competition \\
\midrule
0 & 1 & 1996-01-10 00:00:00 & edison international field, anaheim, united states & honduras & 1-0 & 3-1 & 1996 concacaf gold cup \\
1 & 2 & 1996-08-30 00:00:00 & commonwealth stadium, edmonton, canada & panama & 3-1 & 3-1 & 1998 fifa world cup qualification \\
2 & 3 & 1997-10-12 00:00:00 & commonwealth stadium, edmonton, canada & mexico & 2-1 & 2-2 & 1998 fifa world cup qualification \\
3 & 4 & 1999-10-08 00:00:00 & los angeles memorial coliseum, los angeles, united states & el salvador & 1-0 & 2-1 & 2000 concacaf gold cup qualification play off \\
4 & 5 & 1999-10-10 00:00:00 & los angeles memorial coliseum, los angeles, united states & haiti & 1-0 & 2-1 & 2000 concacaf gold cup qualification play off \\
5 & 6 & 1999-10-10 00:00:00 & los angeles memorial coliseum, los angeles, united states & haiti & 2-0 & 2-2 & 2000 concacaf gold cup qualification play off \\
6 & 7 & 2000-02-13 00:00:00 & qualcomm stadium, san diego, united states & costa rica & 1-1 & 2-2 & 2000 concacaf gold cup \\
7 & 8 & 2000-02-13 00:00:00 & qualcomm stadium, san diego, united states & costa rica & 2-2 & 2-2 & 2000 concacaf gold cup \\
8 & 9 & 2000-02-20 00:00:00 & qualcomm stadium, san diego, united states & mexico & 1-1 & 2-1 & 2000 concacaf gold cup \\
9 & 10 & 2000-02-27 00:00:00 & los angeles memorial coliseum, los angeles, united states & colombia & 2-0 & 2-0 & 2000 concacaf gold cup \\
10 & 11 & 2004-01-18 00:00:00 & bridgetown, barbados & barbados & 1-0 & 1-0 & friendly match \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& opponent \\
\midrule
0 & panama \\
\bottomrule
\end{tabular}
| select opponent where score = '3-1' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>#</th>
<th>date</th>
<th>venue</th>
<th>opponent</th>
<th>score</th>
<th>result</th>
<th>competition</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>1996-01-10 00:00:00</td>
<td>edison international field, anaheim, united states</td>
<td>honduras</td>
<td>1-0</td>
<td>3-1</td>
<td>1996 concacaf gold cup</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>1996-08-30 00:00:00</td>
<td>commonwealth stadium, edmonton, canada</td>
<td>panama</td>
<td>3-1</td>
<td>3-1</td>
<td>1998 fifa world cup qualification</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>1997-10-12 00:00:00</td>
<td>commonwealth stadium, edmonton, canada</td>
<td>mexico</td>
<td>2-1</td>
<td>2-2</td>
<td>1998 fifa world cup qualification</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>1999-10-08 00:00:00</td>
<td>los angeles memorial coliseum, los angeles, united states</td>
<td>el salvador</td>
<td>1-0</td>
<td>2-1</td>
<td>2000 concacaf gold cup qualification play off</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>1999-10-10 00:00:00</td>
<td>los angeles memorial coliseum, los angeles, united states</td>
<td>haiti</td>
<td>1-0</td>
<td>2-1</td>
<td>2000 concacaf gold cup qualification play off</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>1999-10-10 00:00:00</td>
<td>los angeles memorial coliseum, los angeles, united states</td>
<td>haiti</td>
<td>2-0</td>
<td>2-2</td>
<td>2000 concacaf gold cup qualification play off</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>2000-02-13 00:00:00</td>
<td>qualcomm stadium, san diego, united states</td>
<td>costa rica</td>
<td>1-1</td>
<td>2-2</td>
<td>2000 concacaf gold cup</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>2000-02-13 00:00:00</td>
<td>qualcomm stadium, san diego, united states</td>
<td>costa rica</td>
<td>2-2</td>
<td>2-2</td>
<td>2000 concacaf gold cup</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>2000-02-20 00:00:00</td>
<td>qualcomm stadium, san diego, united states</td>
<td>mexico</td>
<td>1-1</td>
<td>2-1</td>
<td>2000 concacaf gold cup</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>2000-02-27 00:00:00</td>
<td>los angeles memorial coliseum, los angeles, united states</td>
<td>colombia</td>
<td>2-0</td>
<td>2-0</td>
<td>2000 concacaf gold cup</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>2004-01-18 00:00:00</td>
<td>bridgetown, barbados</td>
<td>barbados</td>
<td>1-0</td>
<td>1-0</td>
<td>friendly match</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>opponent</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>panama</td>
</tr>
</tbody>
</table> | select opponent where score = '3-1' <table_name> : table | | # | date | venue | opponent | score | result | competition |
|---:|----:|:--------------------|:----------------------------------------------------------|:------------|:--------|:---------|:----------------------------------------------|
| 0 | 1 | 1996-01-10 00:00:00 | edison international field, anaheim, united states | honduras | 1-0 | 3-1 | 1996 concacaf gold cup |
| 1 | 2 | 1996-08-30 00:00:00 | commonwealth stadium, edmonton, canada | panama | 3-1 | 3-1 | 1998 fifa world cup qualification |
| 2 | 3 | 1997-10-12 00:00:00 | commonwealth stadium, edmonton, canada | mexico | 2-1 | 2-2 | 1998 fifa world cup qualification |
| 3 | 4 | 1999-10-08 00:00:00 | los angeles memorial coliseum, los angeles, united states | el salvador | 1-0 | 2-1 | 2000 concacaf gold cup qualification play off |
| 4 | 5 | 1999-10-10 00:00:00 | los angeles memorial coliseum, los angeles, united states | haiti | 1-0 | 2-1 | 2000 concacaf gold cup qualification play off |
| 5 | 6 | 1999-10-10 00:00:00 | los angeles memorial coliseum, los angeles, united states | haiti | 2-0 | 2-2 | 2000 concacaf gold cup qualification play off |
| 6 | 7 | 2000-02-13 00:00:00 | qualcomm stadium, san diego, united states | costa rica | 1-1 | 2-2 | 2000 concacaf gold cup |
| 7 | 8 | 2000-02-13 00:00:00 | qualcomm stadium, san diego, united states | costa rica | 2-2 | 2-2 | 2000 concacaf gold cup |
| 8 | 9 | 2000-02-20 00:00:00 | qualcomm stadium, san diego, united states | mexico | 1-1 | 2-1 | 2000 concacaf gold cup |
| 9 | 10 | 2000-02-27 00:00:00 | los angeles memorial coliseum, los angeles, united states | colombia | 2-0 | 2-0 | 2000 concacaf gold cup |
| 10 | 11 | 2004-01-18 00:00:00 | bridgetown, barbados | barbados | 1-0 | 1-0 | friendly match | | | | opponent |
|---:|:-----------|
| 0 | panama | | [
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select count ( district ) where district = 'hershey montessori farm school' col : district | location | communities served row 1 : agape christian academy | burton township, ohio and troy township, ohio | accepts applications prior to the start of each school year row 2 : hawken school | gates mills, ohio | college preparatory day school: online application, site visit and testing row 3 : hershey montessori farm school | huntsburg township, ohio | parent-owned, and chartered by ohio department of education: application deadline january each year row 4 : notre dame-cathedral latin | munson township, ohio | roman catholic diocese of cleveland: open to 8th grade students who have attended a catholic elementary school and others who have not row 5 : solon/bainbridge montessori school of languages | bainbridge township, ohio | nonsectarian montessori school: quarterly enrollment periods row 6 : saint anselm school | chester township, ohio | roman catholic diocese of cleveland k - 8th grade; preschool row 7 : saint helen's school | newbury, ohio | roman catholic diocese of cleveland k - 8th grade; parishioners and non-parishioners row 8 : saint mary's school | chardon, ohio | roman catholic diocese of cleveland preschool - 8th grade; parishioners and non-parishioners | col : count ( "district" ) row 1 : 1 | select count ( district ) where district = 'hershey montessori farm school' <table_name> : table \begin{tabular}{llll}
\toprule
& district & location & communities served \\
\midrule
0 & agape christian academy & burton township, ohio and troy township, ohio & accepts applications prior to the start of each school year \\
1 & hawken school & gates mills, ohio & college preparatory day school: online application, site visit and testing \\
2 & hershey montessori farm school & huntsburg township, ohio & parent-owned, and chartered by ohio department of education: application deadline january each year \\
3 & notre dame-cathedral latin & munson township, ohio & roman catholic diocese of cleveland: open to 8th grade students who have attended a catholic elementary school and others who have not \\
4 & solon/bainbridge montessori school of languages & bainbridge township, ohio & nonsectarian montessori school: quarterly enrollment periods \\
5 & saint anselm school & chester township, ohio & roman catholic diocese of cleveland k - 8th grade; preschool \\
6 & saint helen's school & newbury, ohio & roman catholic diocese of cleveland k - 8th grade; parishioners and non-parishioners \\
7 & saint mary's school & chardon, ohio & roman catholic diocese of cleveland preschool - 8th grade; parishioners and non-parishioners \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "district" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( district ) where district = 'hershey montessori farm school' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>district</th>
<th>location</th>
<th>communities served</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>agape christian academy</td>
<td>burton township, ohio and troy township, ohio</td>
<td>accepts applications prior to the start of each school year</td>
</tr>
<tr>
<th>1</th>
<td>hawken school</td>
<td>gates mills, ohio</td>
<td>college preparatory day school: online application, site visit and testing</td>
</tr>
<tr>
<th>2</th>
<td>hershey montessori farm school</td>
<td>huntsburg township, ohio</td>
<td>parent-owned, and chartered by ohio department of education: application deadline january each year</td>
</tr>
<tr>
<th>3</th>
<td>notre dame-cathedral latin</td>
<td>munson township, ohio</td>
<td>roman catholic diocese of cleveland: open to 8th grade students who have attended a catholic elementary school and others who have not</td>
</tr>
<tr>
<th>4</th>
<td>solon/bainbridge montessori school of languages</td>
<td>bainbridge township, ohio</td>
<td>nonsectarian montessori school: quarterly enrollment periods</td>
</tr>
<tr>
<th>5</th>
<td>saint anselm school</td>
<td>chester township, ohio</td>
<td>roman catholic diocese of cleveland k - 8th grade; preschool</td>
</tr>
<tr>
<th>6</th>
<td>saint helen's school</td>
<td>newbury, ohio</td>
<td>roman catholic diocese of cleveland k - 8th grade; parishioners and non-parishioners</td>
</tr>
<tr>
<th>7</th>
<td>saint mary's school</td>
<td>chardon, ohio</td>
<td>roman catholic diocese of cleveland preschool - 8th grade; parishioners and non-parishioners</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "district" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( district ) where district = 'hershey montessori farm school' <table_name> : table | | district | location | communities served |
|---:|:------------------------------------------------|:----------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------|
| 0 | agape christian academy | burton township, ohio and troy township, ohio | accepts applications prior to the start of each school year |
| 1 | hawken school | gates mills, ohio | college preparatory day school: online application, site visit and testing |
| 2 | hershey montessori farm school | huntsburg township, ohio | parent-owned, and chartered by ohio department of education: application deadline january each year |
| 3 | notre dame-cathedral latin | munson township, ohio | roman catholic diocese of cleveland: open to 8th grade students who have attended a catholic elementary school and others who have not |
| 4 | solon/bainbridge montessori school of languages | bainbridge township, ohio | nonsectarian montessori school: quarterly enrollment periods |
| 5 | saint anselm school | chester township, ohio | roman catholic diocese of cleveland k - 8th grade; preschool |
| 6 | saint helen's school | newbury, ohio | roman catholic diocese of cleveland k - 8th grade; parishioners and non-parishioners |
| 7 | saint mary's school | chardon, ohio | roman catholic diocese of cleveland preschool - 8th grade; parishioners and non-parishioners | | | | count ( "district" ) |
|---:|-----------------------:|
| 0 | 1 | | [
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select availability where introduced = 'february 2009' col : model | availability | introduced | length of use | last of whiteness row 1 : crest whitestrips classic previously crest whitestrips | discontinued | may 2001 | 14 days | 12 months row 2 : crest whitestrips professional | discontinued | 2001 | 10 days | 12 months row 3 : crest whitestrips supreme | dentist and online | september 2003 | 21 days | 18 months row 4 : crest whitestrips premium | discontinued | january 2004 | 7 days | 12 months row 5 : crest whitestrips pro previously crest whitestrips premium plus | discontinued | april 2005 | 10 days | 18 months row 6 : crest whitestrips renewal | discontinued | january 2006 | 10 days | 18 months row 7 : crest whitestrips daily multicare | discontinued | march 2007 | daily | white after using system row 8 : crest whitestrips advanced seal | discontinued | february 2009 | 14 days | 18 months row 9 : crest whitestrips 3d vivid | instore and online | 2009 | 10 days | 12 months row 10 : crest whitestrips 3d advanced vivid | instore and online | march 2010 | 14 days | 12 months row 11 : crest whitestrips 3d professional effects | instore and online | march 2010 | 20 days | 12 months row 12 : crest 3d white 2 hour express | instore and online | 2010 | 2 hours | 3 months row 13 : crest 3d intensive professional effects | instore and online | 2011 | 7 days | 12 months | col : availability row 1 : discontinued | select availability where introduced = 'february 2009' <table_name> : table \begin{tabular}{llllll}
\toprule
& model & availability & introduced & length of use & last of whiteness \\
\midrule
0 & crest whitestrips classic previously crest whitestrips & discontinued & may 2001 & 14 days & 12 months \\
1 & crest whitestrips professional & discontinued & 2001 & 10 days & 12 months \\
2 & crest whitestrips supreme & dentist and online & september 2003 & 21 days & 18 months \\
3 & crest whitestrips premium & discontinued & january 2004 & 7 days & 12 months \\
4 & crest whitestrips pro previously crest whitestrips premium plus & discontinued & april 2005 & 10 days & 18 months \\
5 & crest whitestrips renewal & discontinued & january 2006 & 10 days & 18 months \\
6 & crest whitestrips daily multicare & discontinued & march 2007 & daily & white after using system \\
7 & crest whitestrips advanced seal & discontinued & february 2009 & 14 days & 18 months \\
8 & crest whitestrips 3d vivid & instore and online & 2009 & 10 days & 12 months \\
9 & crest whitestrips 3d advanced vivid & instore and online & march 2010 & 14 days & 12 months \\
10 & crest whitestrips 3d professional effects & instore and online & march 2010 & 20 days & 12 months \\
11 & crest 3d white 2 hour express & instore and online & 2010 & 2 hours & 3 months \\
12 & crest 3d intensive professional effects & instore and online & 2011 & 7 days & 12 months \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& availability \\
\midrule
0 & discontinued \\
\bottomrule
\end{tabular}
| select availability where introduced = 'february 2009' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>model</th>
<th>availability</th>
<th>introduced</th>
<th>length of use</th>
<th>last of whiteness</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>crest whitestrips classic previously crest whitestrips</td>
<td>discontinued</td>
<td>may 2001</td>
<td>14 days</td>
<td>12 months</td>
</tr>
<tr>
<th>1</th>
<td>crest whitestrips professional</td>
<td>discontinued</td>
<td>2001</td>
<td>10 days</td>
<td>12 months</td>
</tr>
<tr>
<th>2</th>
<td>crest whitestrips supreme</td>
<td>dentist and online</td>
<td>september 2003</td>
<td>21 days</td>
<td>18 months</td>
</tr>
<tr>
<th>3</th>
<td>crest whitestrips premium</td>
<td>discontinued</td>
<td>january 2004</td>
<td>7 days</td>
<td>12 months</td>
</tr>
<tr>
<th>4</th>
<td>crest whitestrips pro previously crest whitestrips premium plus</td>
<td>discontinued</td>
<td>april 2005</td>
<td>10 days</td>
<td>18 months</td>
</tr>
<tr>
<th>5</th>
<td>crest whitestrips renewal</td>
<td>discontinued</td>
<td>january 2006</td>
<td>10 days</td>
<td>18 months</td>
</tr>
<tr>
<th>6</th>
<td>crest whitestrips daily multicare</td>
<td>discontinued</td>
<td>march 2007</td>
<td>daily</td>
<td>white after using system</td>
</tr>
<tr>
<th>7</th>
<td>crest whitestrips advanced seal</td>
<td>discontinued</td>
<td>february 2009</td>
<td>14 days</td>
<td>18 months</td>
</tr>
<tr>
<th>8</th>
<td>crest whitestrips 3d vivid</td>
<td>instore and online</td>
<td>2009</td>
<td>10 days</td>
<td>12 months</td>
</tr>
<tr>
<th>9</th>
<td>crest whitestrips 3d advanced vivid</td>
<td>instore and online</td>
<td>march 2010</td>
<td>14 days</td>
<td>12 months</td>
</tr>
<tr>
<th>10</th>
<td>crest whitestrips 3d professional effects</td>
<td>instore and online</td>
<td>march 2010</td>
<td>20 days</td>
<td>12 months</td>
</tr>
<tr>
<th>11</th>
<td>crest 3d white 2 hour express</td>
<td>instore and online</td>
<td>2010</td>
<td>2 hours</td>
<td>3 months</td>
</tr>
<tr>
<th>12</th>
<td>crest 3d intensive professional effects</td>
<td>instore and online</td>
<td>2011</td>
<td>7 days</td>
<td>12 months</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>availability</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>discontinued</td>
</tr>
</tbody>
</table> | select availability where introduced = 'february 2009' <table_name> : table | | model | availability | introduced | length of use | last of whiteness |
|---:|:----------------------------------------------------------------|:-------------------|:---------------|:----------------|:-------------------------|
| 0 | crest whitestrips classic previously crest whitestrips | discontinued | may 2001 | 14 days | 12 months |
| 1 | crest whitestrips professional | discontinued | 2001 | 10 days | 12 months |
| 2 | crest whitestrips supreme | dentist and online | september 2003 | 21 days | 18 months |
| 3 | crest whitestrips premium | discontinued | january 2004 | 7 days | 12 months |
| 4 | crest whitestrips pro previously crest whitestrips premium plus | discontinued | april 2005 | 10 days | 18 months |
| 5 | crest whitestrips renewal | discontinued | january 2006 | 10 days | 18 months |
| 6 | crest whitestrips daily multicare | discontinued | march 2007 | daily | white after using system |
| 7 | crest whitestrips advanced seal | discontinued | february 2009 | 14 days | 18 months |
| 8 | crest whitestrips 3d vivid | instore and online | 2009 | 10 days | 12 months |
| 9 | crest whitestrips 3d advanced vivid | instore and online | march 2010 | 14 days | 12 months |
| 10 | crest whitestrips 3d professional effects | instore and online | march 2010 | 20 days | 12 months |
| 11 | crest 3d white 2 hour express | instore and online | 2010 | 2 hours | 3 months |
| 12 | crest 3d intensive professional effects | instore and online | 2011 | 7 days | 12 months | | | | availability |
|---:|:---------------|
| 0 | discontinued | | [
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select country where matches = 3 col : season | team | country | competition | matches | goals row 1 : 1999 | djurgardens if | sweden | allsvenskan | 15 | 1 row 2 : 2000 | djurgardens if | sweden | superettan | 15 | 3 row 3 : 2001 | djurgardens if | sweden | allsvenskan | 22 | 7 row 4 : 2002-2003 | grazer ak | austria | bundesliga | 24 | 6 row 5 : 2003 | denizlispor | turkey | super lig | 3 | 0 row 6 : 2003 | landskrona bois | sweden | allsvenskan | 11 | 3 row 7 : 2004 | landskrona bois | sweden | allsvenskan | 22 | 4 row 8 : 2005 | djurgardens if | sweden | allsvenskan | 24 | 12 row 9 : 2006 | djurgardens if | sweden | allsvenskan | 17 | 6 row 10 : 2007 | djurgardens if | sweden | allsvenskan | 23 | 4 row 11 : 2008 | djurgardens if | sweden | allsvenskan | 29 | 6 row 12 : 2008-09 | esbjerg fb | denmark | superliga | 6 | 0 row 13 : 2010 | aab | denmark | superliga | 3 | 1 row 14 : 2011 | assyriska ff | sweden | superettan | 19 | 5 row 15 : total | total | total | total | 233 | 58 | col : count ( "country" ) row 1 : 2 | select country where matches = 3 <table_name> : table \begin{tabular}{lllllll}
\toprule
& season & team & country & competition & matches & goals \\
\midrule
0 & 1999 & djurgardens if & sweden & allsvenskan & 15 & 1 \\
1 & 2000 & djurgardens if & sweden & superettan & 15 & 3 \\
2 & 2001 & djurgardens if & sweden & allsvenskan & 22 & 7 \\
3 & 2002-2003 & grazer ak & austria & bundesliga & 24 & 6 \\
4 & 2003 & denizlispor & turkey & super lig & 3 & 0 \\
5 & 2003 & landskrona bois & sweden & allsvenskan & 11 & 3 \\
6 & 2004 & landskrona bois & sweden & allsvenskan & 22 & 4 \\
7 & 2005 & djurgardens if & sweden & allsvenskan & 24 & 12 \\
8 & 2006 & djurgardens if & sweden & allsvenskan & 17 & 6 \\
9 & 2007 & djurgardens if & sweden & allsvenskan & 23 & 4 \\
10 & 2008 & djurgardens if & sweden & allsvenskan & 29 & 6 \\
11 & 2008-09 & esbjerg fb & denmark & superliga & 6 & 0 \\
12 & 2010 & aab & denmark & superliga & 3 & 1 \\
13 & 2011 & assyriska ff & sweden & superettan & 19 & 5 \\
14 & total & total & total & total & 233 & 58 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "country" ) \\
\midrule
0 & 2 \\
\bottomrule
\end{tabular}
| select country where matches = 3 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>season</th>
<th>team</th>
<th>country</th>
<th>competition</th>
<th>matches</th>
<th>goals</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1999</td>
<td>djurgardens if</td>
<td>sweden</td>
<td>allsvenskan</td>
<td>15</td>
<td>1</td>
</tr>
<tr>
<th>1</th>
<td>2000</td>
<td>djurgardens if</td>
<td>sweden</td>
<td>superettan</td>
<td>15</td>
<td>3</td>
</tr>
<tr>
<th>2</th>
<td>2001</td>
<td>djurgardens if</td>
<td>sweden</td>
<td>allsvenskan</td>
<td>22</td>
<td>7</td>
</tr>
<tr>
<th>3</th>
<td>2002-2003</td>
<td>grazer ak</td>
<td>austria</td>
<td>bundesliga</td>
<td>24</td>
<td>6</td>
</tr>
<tr>
<th>4</th>
<td>2003</td>
<td>denizlispor</td>
<td>turkey</td>
<td>super lig</td>
<td>3</td>
<td>0</td>
</tr>
<tr>
<th>5</th>
<td>2003</td>
<td>landskrona bois</td>
<td>sweden</td>
<td>allsvenskan</td>
<td>11</td>
<td>3</td>
</tr>
<tr>
<th>6</th>
<td>2004</td>
<td>landskrona bois</td>
<td>sweden</td>
<td>allsvenskan</td>
<td>22</td>
<td>4</td>
</tr>
<tr>
<th>7</th>
<td>2005</td>
<td>djurgardens if</td>
<td>sweden</td>
<td>allsvenskan</td>
<td>24</td>
<td>12</td>
</tr>
<tr>
<th>8</th>
<td>2006</td>
<td>djurgardens if</td>
<td>sweden</td>
<td>allsvenskan</td>
<td>17</td>
<td>6</td>
</tr>
<tr>
<th>9</th>
<td>2007</td>
<td>djurgardens if</td>
<td>sweden</td>
<td>allsvenskan</td>
<td>23</td>
<td>4</td>
</tr>
<tr>
<th>10</th>
<td>2008</td>
<td>djurgardens if</td>
<td>sweden</td>
<td>allsvenskan</td>
<td>29</td>
<td>6</td>
</tr>
<tr>
<th>11</th>
<td>2008-09</td>
<td>esbjerg fb</td>
<td>denmark</td>
<td>superliga</td>
<td>6</td>
<td>0</td>
</tr>
<tr>
<th>12</th>
<td>2010</td>
<td>aab</td>
<td>denmark</td>
<td>superliga</td>
<td>3</td>
<td>1</td>
</tr>
<tr>
<th>13</th>
<td>2011</td>
<td>assyriska ff</td>
<td>sweden</td>
<td>superettan</td>
<td>19</td>
<td>5</td>
</tr>
<tr>
<th>14</th>
<td>total</td>
<td>total</td>
<td>total</td>
<td>total</td>
<td>233</td>
<td>58</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "country" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2</td>
</tr>
</tbody>
</table> | select country where matches = 3 <table_name> : table | | season | team | country | competition | matches | goals |
|---:|:----------|:----------------|:----------|:--------------|----------:|--------:|
| 0 | 1999 | djurgardens if | sweden | allsvenskan | 15 | 1 |
| 1 | 2000 | djurgardens if | sweden | superettan | 15 | 3 |
| 2 | 2001 | djurgardens if | sweden | allsvenskan | 22 | 7 |
| 3 | 2002-2003 | grazer ak | austria | bundesliga | 24 | 6 |
| 4 | 2003 | denizlispor | turkey | super lig | 3 | 0 |
| 5 | 2003 | landskrona bois | sweden | allsvenskan | 11 | 3 |
| 6 | 2004 | landskrona bois | sweden | allsvenskan | 22 | 4 |
| 7 | 2005 | djurgardens if | sweden | allsvenskan | 24 | 12 |
| 8 | 2006 | djurgardens if | sweden | allsvenskan | 17 | 6 |
| 9 | 2007 | djurgardens if | sweden | allsvenskan | 23 | 4 |
| 10 | 2008 | djurgardens if | sweden | allsvenskan | 29 | 6 |
| 11 | 2008-09 | esbjerg fb | denmark | superliga | 6 | 0 |
| 12 | 2010 | aab | denmark | superliga | 3 | 1 |
| 13 | 2011 | assyriska ff | sweden | superettan | 19 | 5 |
| 14 | total | total | total | total | 233 | 58 | | | | count ( "country" ) |
|---:|----------------------:|
| 0 | 2 | | [
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select ( select min ( land area (km2) ) where land area (km2) > '50.5' ) - '50.5' col : # | district | land area (km2) | population (2010 census) | density (persons/km2) row 1 : 1 | anse la raye | 30.9 | 6247 | 210 row 2 : 2 | praslin | 16.0 | 2044 | 119 row 3 : 3 | castries | 79.5 | 65656 | 776 row 4 : 4 | choiseul | 31.3 | 6098 | 206 row 5 : 5 | dennery | 69.7 | 12599 | 182 row 6 : 6 | forest reserve | 78.0 | 0 | 0 row 7 : 7 | gros islet | 101.5 | 25210 | 196 row 8 : 8 | laborie | 37.8 | 6701 | 210 row 9 : 9 | micoud | 77.7 | 16284 | 220 row 10 : 10 | soufriere | 50.5 | 8472 | 144 row 11 : 11 | vieux fort | 43.8 | 16284 | 371 row 12 : none | saint lucia | 608.7 | 165595 | 256 | col : min ( "select min ( land area (km2" ) row 1 : select min ( land area (km2 | select ( select min ( land area (km2) ) where land area (km2) > '50.5' ) - '50.5' <table_name> : table \begin{tabular}{llllll}
\toprule
& # & district & land area (km2) & population (2010 census) & density (persons/km2) \\
\midrule
0 & 1 & anse la raye & 30.9 & 6247 & 210 \\
1 & 2 & praslin & 16.0 & 2044 & 119 \\
2 & 3 & castries & 79.5 & 65656 & 776 \\
3 & 4 & choiseul & 31.3 & 6098 & 206 \\
4 & 5 & dennery & 69.7 & 12599 & 182 \\
5 & 6 & forest reserve & 78.0 & 0 & 0 \\
6 & 7 & gros islet & 101.5 & 25210 & 196 \\
7 & 8 & laborie & 37.8 & 6701 & 210 \\
8 & 9 & micoud & 77.7 & 16284 & 220 \\
9 & 10 & soufriere & 50.5 & 8472 & 144 \\
10 & 11 & vieux fort & 43.8 & 16284 & 371 \\
11 & none & saint lucia & 608.7 & 165595 & 256 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& min ( "select min ( land area (km2" ) \\
\midrule
0 & select min ( land area (km2 \\
\bottomrule
\end{tabular}
| select ( select min ( land area (km2) ) where land area (km2) > '50.5' ) - '50.5' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>#</th>
<th>district</th>
<th>land area (km2)</th>
<th>population (2010 census)</th>
<th>density (persons/km2)</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>anse la raye</td>
<td>30.9</td>
<td>6247</td>
<td>210</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>praslin</td>
<td>16.0</td>
<td>2044</td>
<td>119</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>castries</td>
<td>79.5</td>
<td>65656</td>
<td>776</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>choiseul</td>
<td>31.3</td>
<td>6098</td>
<td>206</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>dennery</td>
<td>69.7</td>
<td>12599</td>
<td>182</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>forest reserve</td>
<td>78.0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>gros islet</td>
<td>101.5</td>
<td>25210</td>
<td>196</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>laborie</td>
<td>37.8</td>
<td>6701</td>
<td>210</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>micoud</td>
<td>77.7</td>
<td>16284</td>
<td>220</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>soufriere</td>
<td>50.5</td>
<td>8472</td>
<td>144</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>vieux fort</td>
<td>43.8</td>
<td>16284</td>
<td>371</td>
</tr>
<tr>
<th>11</th>
<td>none</td>
<td>saint lucia</td>
<td>608.7</td>
<td>165595</td>
<td>256</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>min ( "select min ( land area (km2" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>select min ( land area (km2</td>
</tr>
</tbody>
</table> | select ( select min ( land area (km2) ) where land area (km2) > '50.5' ) - '50.5' <table_name> : table | | # | district | land area (km2) | population (2010 census) | density (persons/km2) |
|---:|:-----|:---------------|------------------:|---------------------------:|------------------------:|
| 0 | 1 | anse la raye | 30.9 | 6247 | 210 |
| 1 | 2 | praslin | 16 | 2044 | 119 |
| 2 | 3 | castries | 79.5 | 65656 | 776 |
| 3 | 4 | choiseul | 31.3 | 6098 | 206 |
| 4 | 5 | dennery | 69.7 | 12599 | 182 |
| 5 | 6 | forest reserve | 78 | 0 | 0 |
| 6 | 7 | gros islet | 101.5 | 25210 | 196 |
| 7 | 8 | laborie | 37.8 | 6701 | 210 |
| 8 | 9 | micoud | 77.7 | 16284 | 220 |
| 9 | 10 | soufriere | 50.5 | 8472 | 144 |
| 10 | 11 | vieux fort | 43.8 | 16284 | 371 |
| 11 | none | saint lucia | 608.7 | 165595 | 256 | | | | min ( "select min ( land area (km2" ) |
|---:|:----------------------------------------|
| 0 | select min ( land area (km2 | | [
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select year where silver = 'argentina' col : year | host | gold | silver | bronze row 1 : 1976 | paraguay (asuncion) | brazil | paraguay | argentina row 2 : 1981 | peru (lima) | brazil | colombia | argentina row 3 : 1986 | colombia (cucuta) | brazil | colombia | peru row 4 : 1987 | argentina (mar del plata) | argentina | brazil | chile row 5 : 1990 | ecuador (ibarra) | brazil | argentina | ecuador row 6 : 1992 | chile (santiago) | brazil | argentina | colombia row 7 : 1995 | brazil (sao roque) | colombia | brazil | argentina row 8 : 1996 | ecuador (quito) | argentina | brazil | colombia row 9 : 1998 | chile (ancud) | brazil | argentina | bolivia row 10 : 2000 | venezuela (san felipe) | brazil | argentina | venezuela row 11 : 2002 | chile (santiago) | ecuador | chile | paraguay row 12 : 2004 | bolivia (quillacollo) | brazil | argentina | bolivia row 13 : 2005 | paraguay (asuncion) | argentina | brazil | paraguay row 14 : 2007 | venezuela (guanare) | venezuela | argentina | brazil row 15 : 2009 | chile (santiago) | brazil | chile | argentina row 16 : 2011 | colombia (pasto) | colombia | argentina | brazil row 17 : 2013 | ecuador (portoviejo) | brazil | argentina | chile | col : year row 1 : 1990 row 2 : 1992 row 3 : 1998 row 4 : 2000 row 5 : 2004 row 6 : 2007 row 7 : 2011 row 8 : 2013 | select year where silver = 'argentina' <table_name> : table \begin{tabular}{llllll}
\toprule
& year & host & gold & silver & bronze \\
\midrule
0 & 1976 & paraguay (asuncion) & brazil & paraguay & argentina \\
1 & 1981 & peru (lima) & brazil & colombia & argentina \\
2 & 1986 & colombia (cucuta) & brazil & colombia & peru \\
3 & 1987 & argentina (mar del plata) & argentina & brazil & chile \\
4 & 1990 & ecuador (ibarra) & brazil & argentina & ecuador \\
5 & 1992 & chile (santiago) & brazil & argentina & colombia \\
6 & 1995 & brazil (sao roque) & colombia & brazil & argentina \\
7 & 1996 & ecuador (quito) & argentina & brazil & colombia \\
8 & 1998 & chile (ancud) & brazil & argentina & bolivia \\
9 & 2000 & venezuela (san felipe) & brazil & argentina & venezuela \\
10 & 2002 & chile (santiago) & ecuador & chile & paraguay \\
11 & 2004 & bolivia (quillacollo) & brazil & argentina & bolivia \\
12 & 2005 & paraguay (asuncion) & argentina & brazil & paraguay \\
13 & 2007 & venezuela (guanare) & venezuela & argentina & brazil \\
14 & 2009 & chile (santiago) & brazil & chile & argentina \\
15 & 2011 & colombia (pasto) & colombia & argentina & brazil \\
16 & 2013 & ecuador (portoviejo) & brazil & argentina & chile \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& year \\
\midrule
0 & 1990 \\
1 & 1992 \\
2 & 1998 \\
3 & 2000 \\
4 & 2004 \\
5 & 2007 \\
6 & 2011 \\
7 & 2013 \\
\bottomrule
\end{tabular}
| select year where silver = 'argentina' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>host</th>
<th>gold</th>
<th>silver</th>
<th>bronze</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1976</td>
<td>paraguay (asuncion)</td>
<td>brazil</td>
<td>paraguay</td>
<td>argentina</td>
</tr>
<tr>
<th>1</th>
<td>1981</td>
<td>peru (lima)</td>
<td>brazil</td>
<td>colombia</td>
<td>argentina</td>
</tr>
<tr>
<th>2</th>
<td>1986</td>
<td>colombia (cucuta)</td>
<td>brazil</td>
<td>colombia</td>
<td>peru</td>
</tr>
<tr>
<th>3</th>
<td>1987</td>
<td>argentina (mar del plata)</td>
<td>argentina</td>
<td>brazil</td>
<td>chile</td>
</tr>
<tr>
<th>4</th>
<td>1990</td>
<td>ecuador (ibarra)</td>
<td>brazil</td>
<td>argentina</td>
<td>ecuador</td>
</tr>
<tr>
<th>5</th>
<td>1992</td>
<td>chile (santiago)</td>
<td>brazil</td>
<td>argentina</td>
<td>colombia</td>
</tr>
<tr>
<th>6</th>
<td>1995</td>
<td>brazil (sao roque)</td>
<td>colombia</td>
<td>brazil</td>
<td>argentina</td>
</tr>
<tr>
<th>7</th>
<td>1996</td>
<td>ecuador (quito)</td>
<td>argentina</td>
<td>brazil</td>
<td>colombia</td>
</tr>
<tr>
<th>8</th>
<td>1998</td>
<td>chile (ancud)</td>
<td>brazil</td>
<td>argentina</td>
<td>bolivia</td>
</tr>
<tr>
<th>9</th>
<td>2000</td>
<td>venezuela (san felipe)</td>
<td>brazil</td>
<td>argentina</td>
<td>venezuela</td>
</tr>
<tr>
<th>10</th>
<td>2002</td>
<td>chile (santiago)</td>
<td>ecuador</td>
<td>chile</td>
<td>paraguay</td>
</tr>
<tr>
<th>11</th>
<td>2004</td>
<td>bolivia (quillacollo)</td>
<td>brazil</td>
<td>argentina</td>
<td>bolivia</td>
</tr>
<tr>
<th>12</th>
<td>2005</td>
<td>paraguay (asuncion)</td>
<td>argentina</td>
<td>brazil</td>
<td>paraguay</td>
</tr>
<tr>
<th>13</th>
<td>2007</td>
<td>venezuela (guanare)</td>
<td>venezuela</td>
<td>argentina</td>
<td>brazil</td>
</tr>
<tr>
<th>14</th>
<td>2009</td>
<td>chile (santiago)</td>
<td>brazil</td>
<td>chile</td>
<td>argentina</td>
</tr>
<tr>
<th>15</th>
<td>2011</td>
<td>colombia (pasto)</td>
<td>colombia</td>
<td>argentina</td>
<td>brazil</td>
</tr>
<tr>
<th>16</th>
<td>2013</td>
<td>ecuador (portoviejo)</td>
<td>brazil</td>
<td>argentina</td>
<td>chile</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1990</td>
</tr>
<tr>
<th>1</th>
<td>1992</td>
</tr>
<tr>
<th>2</th>
<td>1998</td>
</tr>
<tr>
<th>3</th>
<td>2000</td>
</tr>
<tr>
<th>4</th>
<td>2004</td>
</tr>
<tr>
<th>5</th>
<td>2007</td>
</tr>
<tr>
<th>6</th>
<td>2011</td>
</tr>
<tr>
<th>7</th>
<td>2013</td>
</tr>
</tbody>
</table> | select year where silver = 'argentina' <table_name> : table | | year | host | gold | silver | bronze |
|---:|-------:|:--------------------------|:----------|:----------|:----------|
| 0 | 1976 | paraguay (asuncion) | brazil | paraguay | argentina |
| 1 | 1981 | peru (lima) | brazil | colombia | argentina |
| 2 | 1986 | colombia (cucuta) | brazil | colombia | peru |
| 3 | 1987 | argentina (mar del plata) | argentina | brazil | chile |
| 4 | 1990 | ecuador (ibarra) | brazil | argentina | ecuador |
| 5 | 1992 | chile (santiago) | brazil | argentina | colombia |
| 6 | 1995 | brazil (sao roque) | colombia | brazil | argentina |
| 7 | 1996 | ecuador (quito) | argentina | brazil | colombia |
| 8 | 1998 | chile (ancud) | brazil | argentina | bolivia |
| 9 | 2000 | venezuela (san felipe) | brazil | argentina | venezuela |
| 10 | 2002 | chile (santiago) | ecuador | chile | paraguay |
| 11 | 2004 | bolivia (quillacollo) | brazil | argentina | bolivia |
| 12 | 2005 | paraguay (asuncion) | argentina | brazil | paraguay |
| 13 | 2007 | venezuela (guanare) | venezuela | argentina | brazil |
| 14 | 2009 | chile (santiago) | brazil | chile | argentina |
| 15 | 2011 | colombia (pasto) | colombia | argentina | brazil |
| 16 | 2013 | ecuador (portoviejo) | brazil | argentina | chile | | | | year |
|---:|-------:|
| 0 | 1990 |
| 1 | 1992 |
| 2 | 1998 |
| 3 | 2000 |
| 4 | 2004 |
| 5 | 2007 |
| 6 | 2011 |
| 7 | 2013 | | [
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select district balance where pop. 1998 = 376 col : district balance | area km2 | area sq mi | pop. 1998 | pop. 2008 | pop./km2 2008 row 1 : alarm forest | 5.9 | 2.3 | 289 | 276 | 46.8 row 2 : blue hill | 36.5 | 14.1 | 177 | 153 | 4.2 row 3 : half tree hollow | 1.6 | 0.6 | 1140 | 901 | 563.1 row 4 : jamestown | 3.6 | 1.4 | 884 | 714 | 198.3 row 5 : levelwood | 14 | 5.4 | 376 | 316 | 22.6 row 6 : longwood | 33.4 | 12.9 | 960 | 715 | 21.4 row 7 : sandy bay | 15.3 | 5.9 | 254 | 205 | 13.4 row 8 : saint paul's | 11.4 | 4.4 | 908 | 795 | 69.7 row 9 : royal mail ship st. helena | none | none | 149 | 171 | none row 10 : jamestown harbour | none | none | 20 | 9 | none row 11 : total | 121.7 | 47 | 5157 | 4255 | 35 | col : district balance row 1 : levelwood | select district balance where pop. 1998 = 376 <table_name> : table \begin{tabular}{lllllll}
\toprule
& district balance & area km2 & area sq mi & pop. 1998 & pop. 2008 & pop./km2 2008 \\
\midrule
0 & alarm forest & 5.9 & 2.3 & 289 & 276 & 46.8 \\
1 & blue hill & 36.5 & 14.1 & 177 & 153 & 4.2 \\
2 & half tree hollow & 1.6 & 0.6 & 1140 & 901 & 563.1 \\
3 & jamestown & 3.6 & 1.4 & 884 & 714 & 198.3 \\
4 & levelwood & 14 & 5.4 & 376 & 316 & 22.6 \\
5 & longwood & 33.4 & 12.9 & 960 & 715 & 21.4 \\
6 & sandy bay & 15.3 & 5.9 & 254 & 205 & 13.4 \\
7 & saint paul's & 11.4 & 4.4 & 908 & 795 & 69.7 \\
8 & royal mail ship st. helena & none & none & 149 & 171 & none \\
9 & jamestown harbour & none & none & 20 & 9 & none \\
10 & total & 121.7 & 47 & 5157 & 4255 & 35 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& district balance \\
\midrule
0 & levelwood \\
\bottomrule
\end{tabular}
| select district balance where pop. 1998 = 376 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>district balance</th>
<th>area km2</th>
<th>area sq mi</th>
<th>pop. 1998</th>
<th>pop. 2008</th>
<th>pop./km2 2008</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>alarm forest</td>
<td>5.9</td>
<td>2.3</td>
<td>289</td>
<td>276</td>
<td>46.8</td>
</tr>
<tr>
<th>1</th>
<td>blue hill</td>
<td>36.5</td>
<td>14.1</td>
<td>177</td>
<td>153</td>
<td>4.2</td>
</tr>
<tr>
<th>2</th>
<td>half tree hollow</td>
<td>1.6</td>
<td>0.6</td>
<td>1140</td>
<td>901</td>
<td>563.1</td>
</tr>
<tr>
<th>3</th>
<td>jamestown</td>
<td>3.6</td>
<td>1.4</td>
<td>884</td>
<td>714</td>
<td>198.3</td>
</tr>
<tr>
<th>4</th>
<td>levelwood</td>
<td>14</td>
<td>5.4</td>
<td>376</td>
<td>316</td>
<td>22.6</td>
</tr>
<tr>
<th>5</th>
<td>longwood</td>
<td>33.4</td>
<td>12.9</td>
<td>960</td>
<td>715</td>
<td>21.4</td>
</tr>
<tr>
<th>6</th>
<td>sandy bay</td>
<td>15.3</td>
<td>5.9</td>
<td>254</td>
<td>205</td>
<td>13.4</td>
</tr>
<tr>
<th>7</th>
<td>saint paul's</td>
<td>11.4</td>
<td>4.4</td>
<td>908</td>
<td>795</td>
<td>69.7</td>
</tr>
<tr>
<th>8</th>
<td>royal mail ship st. helena</td>
<td>none</td>
<td>none</td>
<td>149</td>
<td>171</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>jamestown harbour</td>
<td>none</td>
<td>none</td>
<td>20</td>
<td>9</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>total</td>
<td>121.7</td>
<td>47</td>
<td>5157</td>
<td>4255</td>
<td>35</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>district balance</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>levelwood</td>
</tr>
</tbody>
</table> | select district balance where pop. 1998 = 376 <table_name> : table | | district balance | area km2 | area sq mi | pop. 1998 | pop. 2008 | pop./km2 2008 |
|---:|:---------------------------|:-----------|:-------------|------------:|------------:|:----------------|
| 0 | alarm forest | 5.9 | 2.3 | 289 | 276 | 46.8 |
| 1 | blue hill | 36.5 | 14.1 | 177 | 153 | 4.2 |
| 2 | half tree hollow | 1.6 | 0.6 | 1140 | 901 | 563.1 |
| 3 | jamestown | 3.6 | 1.4 | 884 | 714 | 198.3 |
| 4 | levelwood | 14 | 5.4 | 376 | 316 | 22.6 |
| 5 | longwood | 33.4 | 12.9 | 960 | 715 | 21.4 |
| 6 | sandy bay | 15.3 | 5.9 | 254 | 205 | 13.4 |
| 7 | saint paul's | 11.4 | 4.4 | 908 | 795 | 69.7 |
| 8 | royal mail ship st. helena | none | none | 149 | 171 | none |
| 9 | jamestown harbour | none | none | 20 | 9 | none |
| 10 | total | 121.7 | 47 | 5157 | 4255 | 35 | | | | district balance |
|---:|:-------------------|
| 0 | levelwood | | [
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select date where date = 'august 15, 2009' col : res. | record | opponent | method | event | date | round | time | location | notes row 1 : win | 12-3 | mike hayes | ko (punch) | ksw 25: khalidov vs. sakurai | 2013-12-07 00:00:00 | 1 | 1:12 | wrocław, poland | none row 2 : win | 11-3 | nick moghadden | tko (punches) | bellator 99 | 2013-09-13 00:00:00 | 1 | 3:22 | temecula, california, united states | bellator debut row 3 : loss | 10-3 | guto inocente | decision (unanimous) | strikeforce: barnett vs. cormier | 2012-05-19 00:00:00 | 3 | 5:00 | san jose, california, united states | light heavyweight debut row 4 : win | 10-2 | brett albee | tko (strikes) | strikeforce: diaz vs. daley | 2011-04-09 00:00:00 | 1 | 1:46 | san diego, california, united states | none row 5 : loss | 9-2 | lavar johnson | ko (punches) | strikeforce challengers: bowling vs. voelker | 2010-10-22 00:00:00 | 1 | 2:17 | fresno, california, united states | none row 6 : win | 9-1 | eddie sapp | submission (rear-naked choke) | native fighting championship 6 | 2010-08-14 00:00:00 | 1 | 2:01 | campo, california, united states | none row 7 : loss | 8-1 | cody goodale | decision (unanimous) | gladiator challenge: maximum force | 2010-04-25 00:00:00 | 3 | 5:00 | san jacinto, california, united states | none row 8 : win | 8-0 | ovince st. preux | tko (punches) | top combat championship 1 | 2009-09-26 00:00:00 | 2 | 0:46 | san juan, puerto rico | none row 9 : win | 7-0 | william richey | decision (unanimous) | called out mma 1 | 2009-08-15 00:00:00 | 3 | 5:00 | ontario, california, united states | none row 10 : win | 6-0 | buckley acosta | tko (punches) | gladiator challenge: venom | 2009-04-23 00:00:00 | 1 | 2:59 | pauma valley, california, united states | none row 11 : win | 5-0 | dave diaz | submission | gc 85: cross fire | 2008-10-25 00:00:00 | 1 | 1:41 | san diego, california, united states | none row 12 : win | 4-0 | abraham ramirez | tko (punches) | apocalypse fights 1 | 2008-08-07 00:00:00 | 1 | none | none | none row 13 : win | 3-0 | ty montgomery | tko (punches) | galaxy productions | 2007-08-24 00:00:00 | 1 | 0:41 | california, united states | none row 14 : win | 2-0 | tom hubert | tko (doctor stoppage) | total combat 10 | 2005-10-15 00:00:00 | 2 | 1:54 | san diego, california, united states | none row 15 : win | 1-0 | denis hall | tko (punches) | cff: cobra classic 9 | 2003-04-16 00:00:00 | 1 | 0:58 | anza, california, united states | none | col : date row 1 : 2009-08-15 00:00:00 | select date where date = 'august 15, 2009' <table_name> : table \begin{tabular}{lllllllllll}
\toprule
& res. & record & opponent & method & event & date & round & time & location & notes \\
\midrule
0 & win & 12-3 & mike hayes & ko (punch) & ksw 25: khalidov vs. sakurai & 2013-12-07 00:00:00 & 1 & 1:12 & wrocław, poland & none \\
1 & win & 11-3 & nick moghadden & tko (punches) & bellator 99 & 2013-09-13 00:00:00 & 1 & 3:22 & temecula, california, united states & bellator debut \\
2 & loss & 10-3 & guto inocente & decision (unanimous) & strikeforce: barnett vs. cormier & 2012-05-19 00:00:00 & 3 & 5:00 & san jose, california, united states & light heavyweight debut \\
3 & win & 10-2 & brett albee & tko (strikes) & strikeforce: diaz vs. daley & 2011-04-09 00:00:00 & 1 & 1:46 & san diego, california, united states & none \\
4 & loss & 9-2 & lavar johnson & ko (punches) & strikeforce challengers: bowling vs. voelker & 2010-10-22 00:00:00 & 1 & 2:17 & fresno, california, united states & none \\
5 & win & 9-1 & eddie sapp & submission (rear-naked choke) & native fighting championship 6 & 2010-08-14 00:00:00 & 1 & 2:01 & campo, california, united states & none \\
6 & loss & 8-1 & cody goodale & decision (unanimous) & gladiator challenge: maximum force & 2010-04-25 00:00:00 & 3 & 5:00 & san jacinto, california, united states & none \\
7 & win & 8-0 & ovince st. preux & tko (punches) & top combat championship 1 & 2009-09-26 00:00:00 & 2 & 0:46 & san juan, puerto rico & none \\
8 & win & 7-0 & william richey & decision (unanimous) & called out mma 1 & 2009-08-15 00:00:00 & 3 & 5:00 & ontario, california, united states & none \\
9 & win & 6-0 & buckley acosta & tko (punches) & gladiator challenge: venom & 2009-04-23 00:00:00 & 1 & 2:59 & pauma valley, california, united states & none \\
10 & win & 5-0 & dave diaz & submission & gc 85: cross fire & 2008-10-25 00:00:00 & 1 & 1:41 & san diego, california, united states & none \\
11 & win & 4-0 & abraham ramirez & tko (punches) & apocalypse fights 1 & 2008-08-07 00:00:00 & 1 & none & none & none \\
12 & win & 3-0 & ty montgomery & tko (punches) & galaxy productions & 2007-08-24 00:00:00 & 1 & 0:41 & california, united states & none \\
13 & win & 2-0 & tom hubert & tko (doctor stoppage) & total combat 10 & 2005-10-15 00:00:00 & 2 & 1:54 & san diego, california, united states & none \\
14 & win & 1-0 & denis hall & tko (punches) & cff: cobra classic 9 & 2003-04-16 00:00:00 & 1 & 0:58 & anza, california, united states & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& date \\
\midrule
0 & 2009-08-15 00:00:00 \\
\bottomrule
\end{tabular}
| select date where date = 'august 15, 2009' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>res.</th>
<th>record</th>
<th>opponent</th>
<th>method</th>
<th>event</th>
<th>date</th>
<th>round</th>
<th>time</th>
<th>location</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>win</td>
<td>12-3</td>
<td>mike hayes</td>
<td>ko (punch)</td>
<td>ksw 25: khalidov vs. sakurai</td>
<td>2013-12-07 00:00:00</td>
<td>1</td>
<td>1:12</td>
<td>wrocław, poland</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>win</td>
<td>11-3</td>
<td>nick moghadden</td>
<td>tko (punches)</td>
<td>bellator 99</td>
<td>2013-09-13 00:00:00</td>
<td>1</td>
<td>3:22</td>
<td>temecula, california, united states</td>
<td>bellator debut</td>
</tr>
<tr>
<th>2</th>
<td>loss</td>
<td>10-3</td>
<td>guto inocente</td>
<td>decision (unanimous)</td>
<td>strikeforce: barnett vs. cormier</td>
<td>2012-05-19 00:00:00</td>
<td>3</td>
<td>5:00</td>
<td>san jose, california, united states</td>
<td>light heavyweight debut</td>
</tr>
<tr>
<th>3</th>
<td>win</td>
<td>10-2</td>
<td>brett albee</td>
<td>tko (strikes)</td>
<td>strikeforce: diaz vs. daley</td>
<td>2011-04-09 00:00:00</td>
<td>1</td>
<td>1:46</td>
<td>san diego, california, united states</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>loss</td>
<td>9-2</td>
<td>lavar johnson</td>
<td>ko (punches)</td>
<td>strikeforce challengers: bowling vs. voelker</td>
<td>2010-10-22 00:00:00</td>
<td>1</td>
<td>2:17</td>
<td>fresno, california, united states</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>win</td>
<td>9-1</td>
<td>eddie sapp</td>
<td>submission (rear-naked choke)</td>
<td>native fighting championship 6</td>
<td>2010-08-14 00:00:00</td>
<td>1</td>
<td>2:01</td>
<td>campo, california, united states</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>loss</td>
<td>8-1</td>
<td>cody goodale</td>
<td>decision (unanimous)</td>
<td>gladiator challenge: maximum force</td>
<td>2010-04-25 00:00:00</td>
<td>3</td>
<td>5:00</td>
<td>san jacinto, california, united states</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>win</td>
<td>8-0</td>
<td>ovince st. preux</td>
<td>tko (punches)</td>
<td>top combat championship 1</td>
<td>2009-09-26 00:00:00</td>
<td>2</td>
<td>0:46</td>
<td>san juan, puerto rico</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>win</td>
<td>7-0</td>
<td>william richey</td>
<td>decision (unanimous)</td>
<td>called out mma 1</td>
<td>2009-08-15 00:00:00</td>
<td>3</td>
<td>5:00</td>
<td>ontario, california, united states</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>win</td>
<td>6-0</td>
<td>buckley acosta</td>
<td>tko (punches)</td>
<td>gladiator challenge: venom</td>
<td>2009-04-23 00:00:00</td>
<td>1</td>
<td>2:59</td>
<td>pauma valley, california, united states</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>win</td>
<td>5-0</td>
<td>dave diaz</td>
<td>submission</td>
<td>gc 85: cross fire</td>
<td>2008-10-25 00:00:00</td>
<td>1</td>
<td>1:41</td>
<td>san diego, california, united states</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>win</td>
<td>4-0</td>
<td>abraham ramirez</td>
<td>tko (punches)</td>
<td>apocalypse fights 1</td>
<td>2008-08-07 00:00:00</td>
<td>1</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>12</th>
<td>win</td>
<td>3-0</td>
<td>ty montgomery</td>
<td>tko (punches)</td>
<td>galaxy productions</td>
<td>2007-08-24 00:00:00</td>
<td>1</td>
<td>0:41</td>
<td>california, united states</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>win</td>
<td>2-0</td>
<td>tom hubert</td>
<td>tko (doctor stoppage)</td>
<td>total combat 10</td>
<td>2005-10-15 00:00:00</td>
<td>2</td>
<td>1:54</td>
<td>san diego, california, united states</td>
<td>none</td>
</tr>
<tr>
<th>14</th>
<td>win</td>
<td>1-0</td>
<td>denis hall</td>
<td>tko (punches)</td>
<td>cff: cobra classic 9</td>
<td>2003-04-16 00:00:00</td>
<td>1</td>
<td>0:58</td>
<td>anza, california, united states</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>date</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2009-08-15 00:00:00</td>
</tr>
</tbody>
</table> | select date where date = 'august 15, 2009' <table_name> : table | | res. | record | opponent | method | event | date | round | time | location | notes |
|---:|:-------|:---------|:-----------------|:------------------------------|:---------------------------------------------|:--------------------|--------:|:-------|:----------------------------------------|:------------------------|
| 0 | win | 12-3 | mike hayes | ko (punch) | ksw 25: khalidov vs. sakurai | 2013-12-07 00:00:00 | 1 | 1:12 | wrocław, poland | none |
| 1 | win | 11-3 | nick moghadden | tko (punches) | bellator 99 | 2013-09-13 00:00:00 | 1 | 3:22 | temecula, california, united states | bellator debut |
| 2 | loss | 10-3 | guto inocente | decision (unanimous) | strikeforce: barnett vs. cormier | 2012-05-19 00:00:00 | 3 | 5:00 | san jose, california, united states | light heavyweight debut |
| 3 | win | 10-2 | brett albee | tko (strikes) | strikeforce: diaz vs. daley | 2011-04-09 00:00:00 | 1 | 1:46 | san diego, california, united states | none |
| 4 | loss | 9-2 | lavar johnson | ko (punches) | strikeforce challengers: bowling vs. voelker | 2010-10-22 00:00:00 | 1 | 2:17 | fresno, california, united states | none |
| 5 | win | 9-1 | eddie sapp | submission (rear-naked choke) | native fighting championship 6 | 2010-08-14 00:00:00 | 1 | 2:01 | campo, california, united states | none |
| 6 | loss | 8-1 | cody goodale | decision (unanimous) | gladiator challenge: maximum force | 2010-04-25 00:00:00 | 3 | 5:00 | san jacinto, california, united states | none |
| 7 | win | 8-0 | ovince st. preux | tko (punches) | top combat championship 1 | 2009-09-26 00:00:00 | 2 | 0:46 | san juan, puerto rico | none |
| 8 | win | 7-0 | william richey | decision (unanimous) | called out mma 1 | 2009-08-15 00:00:00 | 3 | 5:00 | ontario, california, united states | none |
| 9 | win | 6-0 | buckley acosta | tko (punches) | gladiator challenge: venom | 2009-04-23 00:00:00 | 1 | 2:59 | pauma valley, california, united states | none |
| 10 | win | 5-0 | dave diaz | submission | gc 85: cross fire | 2008-10-25 00:00:00 | 1 | 1:41 | san diego, california, united states | none |
| 11 | win | 4-0 | abraham ramirez | tko (punches) | apocalypse fights 1 | 2008-08-07 00:00:00 | 1 | none | none | none |
| 12 | win | 3-0 | ty montgomery | tko (punches) | galaxy productions | 2007-08-24 00:00:00 | 1 | 0:41 | california, united states | none |
| 13 | win | 2-0 | tom hubert | tko (doctor stoppage) | total combat 10 | 2005-10-15 00:00:00 | 2 | 1:54 | san diego, california, united states | none |
| 14 | win | 1-0 | denis hall | tko (punches) | cff: cobra classic 9 | 2003-04-16 00:00:00 | 1 | 0:58 | anza, california, united states | none | | | | date |
|---:|:--------------------|
| 0 | 2009-08-15 00:00:00 | | [
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select count ( combined days ) where rank < 18 col : rank | wrestler | no. of reigns | combined defenses | combined days row 1 : 1 | matt jackson | 3 | 25 | 1386 row 2 : 1 | nick jackson | 3 | 25 | 1386 row 3 : 3 | el generico | 5 | 12 | 637 row 4 : 4 | super dragon | 6 | 3 | 609 row 5 : 5 | scott lost | 5 | 14 | 578 row 6 : 6 | chris bosh | 3 | 11 | 433 row 7 : 7 | paul london | 1 | 5 | 335 row 8 : 8 | davey richards | 3 | 1 | 324 row 9 : 9 | kevin steen | 3 | 4 | 315 row 10 : 10 | player uno | 1 | 2 | 232 row 11 : 10 | stupefied | 1 | 2 | 232 row 12 : 12 | joey ryan | 3 | 3 | 165 row 13 : 13 | roderick strong | 3 | 1 | 121 row 14 : 14 | quicksilver | 3 | 2 | 120 row 15 : 15 | b-boy | 3 | 1 | 84 row 16 : 16 | pac | 1 | 1 | 71 row 17 : 17 | excalibur | 1 | 1 | 63 row 18 : 18 | human tornado | 1 | 1 | 56 row 19 : 18 | jimmy jacobs | 1 | 0 | 56 row 20 : 18 | tyler black | 1 | 0 | 56 row 21 : 21 | jack evans | 1 | 0 | 49 row 22 : 22 | homicide | 1 | 0 | 28 row 23 : 23 | scorpio sky | 1 | 0 | 1 row 24 : 24 | brian cage | 1 | 0 | <1 row 25 : 24 | michael elgin | 1 | 0 | <1 | col : count ( "combined days" ) row 1 : 10 | select count ( combined days ) where rank < 18 <table_name> : table \begin{tabular}{llllll}
\toprule
& rank & wrestler & no. of reigns & combined defenses & combined days \\
\midrule
0 & 1 & matt jackson & 3 & 25 & 1386 \\
1 & 1 & nick jackson & 3 & 25 & 1386 \\
2 & 3 & el generico & 5 & 12 & 637 \\
3 & 4 & super dragon & 6 & 3 & 609 \\
4 & 5 & scott lost & 5 & 14 & 578 \\
5 & 6 & chris bosh & 3 & 11 & 433 \\
6 & 7 & paul london & 1 & 5 & 335 \\
7 & 8 & davey richards & 3 & 1 & 324 \\
8 & 9 & kevin steen & 3 & 4 & 315 \\
9 & 10 & player uno & 1 & 2 & 232 \\
10 & 10 & stupefied & 1 & 2 & 232 \\
11 & 12 & joey ryan & 3 & 3 & 165 \\
12 & 13 & roderick strong & 3 & 1 & 121 \\
13 & 14 & quicksilver & 3 & 2 & 120 \\
14 & 15 & b-boy & 3 & 1 & 84 \\
15 & 16 & pac & 1 & 1 & 71 \\
16 & 17 & excalibur & 1 & 1 & 63 \\
17 & 18 & human tornado & 1 & 1 & 56 \\
18 & 18 & jimmy jacobs & 1 & 0 & 56 \\
19 & 18 & tyler black & 1 & 0 & 56 \\
20 & 21 & jack evans & 1 & 0 & 49 \\
21 & 22 & homicide & 1 & 0 & 28 \\
22 & 23 & scorpio sky & 1 & 0 & 1 \\
23 & 24 & brian cage & 1 & 0 & <1 \\
24 & 24 & michael elgin & 1 & 0 & <1 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "combined days" ) \\
\midrule
0 & 10 \\
\bottomrule
\end{tabular}
| select count ( combined days ) where rank < 18 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>wrestler</th>
<th>no. of reigns</th>
<th>combined defenses</th>
<th>combined days</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>matt jackson</td>
<td>3</td>
<td>25</td>
<td>1386</td>
</tr>
<tr>
<th>1</th>
<td>1</td>
<td>nick jackson</td>
<td>3</td>
<td>25</td>
<td>1386</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>el generico</td>
<td>5</td>
<td>12</td>
<td>637</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>super dragon</td>
<td>6</td>
<td>3</td>
<td>609</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>scott lost</td>
<td>5</td>
<td>14</td>
<td>578</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>chris bosh</td>
<td>3</td>
<td>11</td>
<td>433</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>paul london</td>
<td>1</td>
<td>5</td>
<td>335</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>davey richards</td>
<td>3</td>
<td>1</td>
<td>324</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>kevin steen</td>
<td>3</td>
<td>4</td>
<td>315</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>player uno</td>
<td>1</td>
<td>2</td>
<td>232</td>
</tr>
<tr>
<th>10</th>
<td>10</td>
<td>stupefied</td>
<td>1</td>
<td>2</td>
<td>232</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>joey ryan</td>
<td>3</td>
<td>3</td>
<td>165</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>roderick strong</td>
<td>3</td>
<td>1</td>
<td>121</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>quicksilver</td>
<td>3</td>
<td>2</td>
<td>120</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>b-boy</td>
<td>3</td>
<td>1</td>
<td>84</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>pac</td>
<td>1</td>
<td>1</td>
<td>71</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>excalibur</td>
<td>1</td>
<td>1</td>
<td>63</td>
</tr>
<tr>
<th>17</th>
<td>18</td>
<td>human tornado</td>
<td>1</td>
<td>1</td>
<td>56</td>
</tr>
<tr>
<th>18</th>
<td>18</td>
<td>jimmy jacobs</td>
<td>1</td>
<td>0</td>
<td>56</td>
</tr>
<tr>
<th>19</th>
<td>18</td>
<td>tyler black</td>
<td>1</td>
<td>0</td>
<td>56</td>
</tr>
<tr>
<th>20</th>
<td>21</td>
<td>jack evans</td>
<td>1</td>
<td>0</td>
<td>49</td>
</tr>
<tr>
<th>21</th>
<td>22</td>
<td>homicide</td>
<td>1</td>
<td>0</td>
<td>28</td>
</tr>
<tr>
<th>22</th>
<td>23</td>
<td>scorpio sky</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>23</th>
<td>24</td>
<td>brian cage</td>
<td>1</td>
<td>0</td>
<td><1</td>
</tr>
<tr>
<th>24</th>
<td>24</td>
<td>michael elgin</td>
<td>1</td>
<td>0</td>
<td><1</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "combined days" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>10</td>
</tr>
</tbody>
</table> | select count ( combined days ) where rank < 18 <table_name> : table | | rank | wrestler | no. of reigns | combined defenses | combined days |
|---:|-------:|:----------------|----------------:|--------------------:|:----------------|
| 0 | 1 | matt jackson | 3 | 25 | 1386 |
| 1 | 1 | nick jackson | 3 | 25 | 1386 |
| 2 | 3 | el generico | 5 | 12 | 637 |
| 3 | 4 | super dragon | 6 | 3 | 609 |
| 4 | 5 | scott lost | 5 | 14 | 578 |
| 5 | 6 | chris bosh | 3 | 11 | 433 |
| 6 | 7 | paul london | 1 | 5 | 335 |
| 7 | 8 | davey richards | 3 | 1 | 324 |
| 8 | 9 | kevin steen | 3 | 4 | 315 |
| 9 | 10 | player uno | 1 | 2 | 232 |
| 10 | 10 | stupefied | 1 | 2 | 232 |
| 11 | 12 | joey ryan | 3 | 3 | 165 |
| 12 | 13 | roderick strong | 3 | 1 | 121 |
| 13 | 14 | quicksilver | 3 | 2 | 120 |
| 14 | 15 | b-boy | 3 | 1 | 84 |
| 15 | 16 | pac | 1 | 1 | 71 |
| 16 | 17 | excalibur | 1 | 1 | 63 |
| 17 | 18 | human tornado | 1 | 1 | 56 |
| 18 | 18 | jimmy jacobs | 1 | 0 | 56 |
| 19 | 18 | tyler black | 1 | 0 | 56 |
| 20 | 21 | jack evans | 1 | 0 | 49 |
| 21 | 22 | homicide | 1 | 0 | 28 |
| 22 | 23 | scorpio sky | 1 | 0 | 1 |
| 23 | 24 | brian cage | 1 | 0 | <1 |
| 24 | 24 | michael elgin | 1 | 0 | <1 | | | | count ( "combined days" ) |
|---:|----------------------------:|
| 0 | 10 | | [
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select matches where player = 'richard pyrah' col : player | matches | innings | not out | runs | high score | average | strike rate | 100s | 50s row 1 : anthony mcgrath | 9 | 9 | 2 | 392 | 72 | 56 | 132.43 | 0 | 4 row 2 : jacques rudolph | 9 | 8 | 1 | 191 | 56 | 27.29 | 129.05 | 0 | 1 row 3 : darren gough | 9 | 4 | 3 | 26 | 20 | 26 | 136.84 | 0 | 0 row 4 : gerard brophy | 9 | 9 | 1 | 177 | 57 | 22.13 | 113.46 | 0 | 1 row 5 : andrew gale | 9 | 9 | 2 | 106 | 45 | 15.14 | 86.18 | 0 | 0 row 6 : michael vaughan | 7 | 7 | 0 | 104 | 34 | 14.86 | 138.67 | 0 | 0 row 7 : craig white | 2 | 2 | 0 | 26 | 26 | 13 | 92.86 | 0 | 0 row 8 : tim bresnan | 9 | 8 | 3 | 58 | 15 | 11.6 | 85.29 | 0 | 0 row 9 : chris taylor | 2 | 2 | 1 | 10 | 10 | 10 | 111.11 | 0 | 0 row 10 : simon guy | 4 | 2 | 0 | 11 | 7 | 5.5 | 78.57 | 0 | 0 row 11 : richard pyrah | 9 | 5 | 2 | 16 | 8 | 5.33 | 114.29 | 0 | 0 row 12 : adil rashid | 8 | 6 | 2 | 18 | 10 | 4.5 | 94.74 | 0 | 0 row 13 : adam lyth | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 row 14 : david wainwright | 2 | 1 | 1 | 3 | 3 | none | 33.33 | 0 | 0 row 15 : matthew hoggard | 9 | 0 | 0 | 0 | 0 | none | none | 0 | 0 row 16 : azeem rafiq | 1 | 0 | 0 | 0 | 0 | none | none | 0 | 0 row 17 : total batting | 99 | 73 | 18 | 1138 | 72 | 20.69 | 116 | 0 | 6 | col : matches row 1 : 9 | select matches where player = 'richard pyrah' <table_name> : table \begin{tabular}{lllllllllll}
\toprule
& player & matches & innings & not out & runs & high score & average & strike rate & 100s & 50s \\
\midrule
0 & anthony mcgrath & 9 & 9 & 2 & 392 & 72 & 56 & 132.43 & 0 & 4 \\
1 & jacques rudolph & 9 & 8 & 1 & 191 & 56 & 27.29 & 129.05 & 0 & 1 \\
2 & darren gough & 9 & 4 & 3 & 26 & 20 & 26 & 136.84 & 0 & 0 \\
3 & gerard brophy & 9 & 9 & 1 & 177 & 57 & 22.13 & 113.46 & 0 & 1 \\
4 & andrew gale & 9 & 9 & 2 & 106 & 45 & 15.14 & 86.18 & 0 & 0 \\
5 & michael vaughan & 7 & 7 & 0 & 104 & 34 & 14.86 & 138.67 & 0 & 0 \\
6 & craig white & 2 & 2 & 0 & 26 & 26 & 13 & 92.86 & 0 & 0 \\
7 & tim bresnan & 9 & 8 & 3 & 58 & 15 & 11.6 & 85.29 & 0 & 0 \\
8 & chris taylor & 2 & 2 & 1 & 10 & 10 & 10 & 111.11 & 0 & 0 \\
9 & simon guy & 4 & 2 & 0 & 11 & 7 & 5.5 & 78.57 & 0 & 0 \\
10 & richard pyrah & 9 & 5 & 2 & 16 & 8 & 5.33 & 114.29 & 0 & 0 \\
11 & adil rashid & 8 & 6 & 2 & 18 & 10 & 4.5 & 94.74 & 0 & 0 \\
12 & adam lyth & 1 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \\
13 & david wainwright & 2 & 1 & 1 & 3 & 3 & none & 33.33 & 0 & 0 \\
14 & matthew hoggard & 9 & 0 & 0 & 0 & 0 & none & none & 0 & 0 \\
15 & azeem rafiq & 1 & 0 & 0 & 0 & 0 & none & none & 0 & 0 \\
16 & total batting & 99 & 73 & 18 & 1138 & 72 & 20.69 & 116 & 0 & 6 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& matches \\
\midrule
0 & 9 \\
\bottomrule
\end{tabular}
| select matches where player = 'richard pyrah' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>player</th>
<th>matches</th>
<th>innings</th>
<th>not out</th>
<th>runs</th>
<th>high score</th>
<th>average</th>
<th>strike rate</th>
<th>100s</th>
<th>50s</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>anthony mcgrath</td>
<td>9</td>
<td>9</td>
<td>2</td>
<td>392</td>
<td>72</td>
<td>56</td>
<td>132.43</td>
<td>0</td>
<td>4</td>
</tr>
<tr>
<th>1</th>
<td>jacques rudolph</td>
<td>9</td>
<td>8</td>
<td>1</td>
<td>191</td>
<td>56</td>
<td>27.29</td>
<td>129.05</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>2</th>
<td>darren gough</td>
<td>9</td>
<td>4</td>
<td>3</td>
<td>26</td>
<td>20</td>
<td>26</td>
<td>136.84</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>3</th>
<td>gerard brophy</td>
<td>9</td>
<td>9</td>
<td>1</td>
<td>177</td>
<td>57</td>
<td>22.13</td>
<td>113.46</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>4</th>
<td>andrew gale</td>
<td>9</td>
<td>9</td>
<td>2</td>
<td>106</td>
<td>45</td>
<td>15.14</td>
<td>86.18</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>5</th>
<td>michael vaughan</td>
<td>7</td>
<td>7</td>
<td>0</td>
<td>104</td>
<td>34</td>
<td>14.86</td>
<td>138.67</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>6</th>
<td>craig white</td>
<td>2</td>
<td>2</td>
<td>0</td>
<td>26</td>
<td>26</td>
<td>13</td>
<td>92.86</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>7</th>
<td>tim bresnan</td>
<td>9</td>
<td>8</td>
<td>3</td>
<td>58</td>
<td>15</td>
<td>11.6</td>
<td>85.29</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>8</th>
<td>chris taylor</td>
<td>2</td>
<td>2</td>
<td>1</td>
<td>10</td>
<td>10</td>
<td>10</td>
<td>111.11</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>9</th>
<td>simon guy</td>
<td>4</td>
<td>2</td>
<td>0</td>
<td>11</td>
<td>7</td>
<td>5.5</td>
<td>78.57</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>10</th>
<td>richard pyrah</td>
<td>9</td>
<td>5</td>
<td>2</td>
<td>16</td>
<td>8</td>
<td>5.33</td>
<td>114.29</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>11</th>
<td>adil rashid</td>
<td>8</td>
<td>6</td>
<td>2</td>
<td>18</td>
<td>10</td>
<td>4.5</td>
<td>94.74</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>12</th>
<td>adam lyth</td>
<td>1</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>13</th>
<td>david wainwright</td>
<td>2</td>
<td>1</td>
<td>1</td>
<td>3</td>
<td>3</td>
<td>none</td>
<td>33.33</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>14</th>
<td>matthew hoggard</td>
<td>9</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>none</td>
<td>none</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>15</th>
<td>azeem rafiq</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>none</td>
<td>none</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>16</th>
<td>total batting</td>
<td>99</td>
<td>73</td>
<td>18</td>
<td>1138</td>
<td>72</td>
<td>20.69</td>
<td>116</td>
<td>0</td>
<td>6</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>matches</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>9</td>
</tr>
</tbody>
</table> | select matches where player = 'richard pyrah' <table_name> : table | | player | matches | innings | not out | runs | high score | average | strike rate | 100s | 50s |
|---:|:-----------------|----------:|----------:|----------:|-------:|-------------:|:----------|:--------------|-------:|------:|
| 0 | anthony mcgrath | 9 | 9 | 2 | 392 | 72 | 56 | 132.43 | 0 | 4 |
| 1 | jacques rudolph | 9 | 8 | 1 | 191 | 56 | 27.29 | 129.05 | 0 | 1 |
| 2 | darren gough | 9 | 4 | 3 | 26 | 20 | 26 | 136.84 | 0 | 0 |
| 3 | gerard brophy | 9 | 9 | 1 | 177 | 57 | 22.13 | 113.46 | 0 | 1 |
| 4 | andrew gale | 9 | 9 | 2 | 106 | 45 | 15.14 | 86.18 | 0 | 0 |
| 5 | michael vaughan | 7 | 7 | 0 | 104 | 34 | 14.86 | 138.67 | 0 | 0 |
| 6 | craig white | 2 | 2 | 0 | 26 | 26 | 13 | 92.86 | 0 | 0 |
| 7 | tim bresnan | 9 | 8 | 3 | 58 | 15 | 11.6 | 85.29 | 0 | 0 |
| 8 | chris taylor | 2 | 2 | 1 | 10 | 10 | 10 | 111.11 | 0 | 0 |
| 9 | simon guy | 4 | 2 | 0 | 11 | 7 | 5.5 | 78.57 | 0 | 0 |
| 10 | richard pyrah | 9 | 5 | 2 | 16 | 8 | 5.33 | 114.29 | 0 | 0 |
| 11 | adil rashid | 8 | 6 | 2 | 18 | 10 | 4.5 | 94.74 | 0 | 0 |
| 12 | adam lyth | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 13 | david wainwright | 2 | 1 | 1 | 3 | 3 | none | 33.33 | 0 | 0 |
| 14 | matthew hoggard | 9 | 0 | 0 | 0 | 0 | none | none | 0 | 0 |
| 15 | azeem rafiq | 1 | 0 | 0 | 0 | 0 | none | none | 0 | 0 |
| 16 | total batting | 99 | 73 | 18 | 1138 | 72 | 20.69 | 116 | 0 | 6 | | | | matches |
|---:|----------:|
| 0 | 9 | | [
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select count ( flash size ) where flash size = 'pdip-20' col : chip | flash size | eeprom | sram | frequency [mhz] | package row 1 : at90s1200 | 1k | 64 | 0 | 12 | pdip-20 row 2 : at90s2313 | 2k | 128 | 128 | 10 | pdip-20 row 3 : at90s/ls2323 | 2k | 128 | 128 | 10 | pdip-8 row 4 : at90s/ls2343 | 2k | 128 | 128 | 10 | pdip-8 row 5 : at90s4414 | 4k | 256 | 256 | 8 | pdip-40 row 6 : at90s/ls4434 | 4k | 256 | 256 | 8 | pdip-40 row 7 : at90s8515 | 8k | 512 | 512 | 8 | pdip-40 row 8 : at90s/ls8535 | 8k | 512 | 512 | 8 | pdip-40 | col : count ( "flash size" ) row 1 : 0 | select count ( flash size ) where flash size = 'pdip-20' <table_name> : table \begin{tabular}{lllllll}
\toprule
& chip & flash size & eeprom & sram & frequency [mhz] & package \\
\midrule
0 & at90s1200 & 1k & 64 & 0 & 12 & pdip-20 \\
1 & at90s2313 & 2k & 128 & 128 & 10 & pdip-20 \\
2 & at90s/ls2323 & 2k & 128 & 128 & 10 & pdip-8 \\
3 & at90s/ls2343 & 2k & 128 & 128 & 10 & pdip-8 \\
4 & at90s4414 & 4k & 256 & 256 & 8 & pdip-40 \\
5 & at90s/ls4434 & 4k & 256 & 256 & 8 & pdip-40 \\
6 & at90s8515 & 8k & 512 & 512 & 8 & pdip-40 \\
7 & at90s/ls8535 & 8k & 512 & 512 & 8 & pdip-40 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "flash size" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( flash size ) where flash size = 'pdip-20' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>chip</th>
<th>flash size</th>
<th>eeprom</th>
<th>sram</th>
<th>frequency [mhz]</th>
<th>package</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>at90s1200</td>
<td>1k</td>
<td>64</td>
<td>0</td>
<td>12</td>
<td>pdip-20</td>
</tr>
<tr>
<th>1</th>
<td>at90s2313</td>
<td>2k</td>
<td>128</td>
<td>128</td>
<td>10</td>
<td>pdip-20</td>
</tr>
<tr>
<th>2</th>
<td>at90s/ls2323</td>
<td>2k</td>
<td>128</td>
<td>128</td>
<td>10</td>
<td>pdip-8</td>
</tr>
<tr>
<th>3</th>
<td>at90s/ls2343</td>
<td>2k</td>
<td>128</td>
<td>128</td>
<td>10</td>
<td>pdip-8</td>
</tr>
<tr>
<th>4</th>
<td>at90s4414</td>
<td>4k</td>
<td>256</td>
<td>256</td>
<td>8</td>
<td>pdip-40</td>
</tr>
<tr>
<th>5</th>
<td>at90s/ls4434</td>
<td>4k</td>
<td>256</td>
<td>256</td>
<td>8</td>
<td>pdip-40</td>
</tr>
<tr>
<th>6</th>
<td>at90s8515</td>
<td>8k</td>
<td>512</td>
<td>512</td>
<td>8</td>
<td>pdip-40</td>
</tr>
<tr>
<th>7</th>
<td>at90s/ls8535</td>
<td>8k</td>
<td>512</td>
<td>512</td>
<td>8</td>
<td>pdip-40</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "flash size" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select count ( flash size ) where flash size = 'pdip-20' <table_name> : table | | chip | flash size | eeprom | sram | frequency [mhz] | package |
|---:|:-------------|:-------------|---------:|-------:|------------------:|:----------|
| 0 | at90s1200 | 1k | 64 | 0 | 12 | pdip-20 |
| 1 | at90s2313 | 2k | 128 | 128 | 10 | pdip-20 |
| 2 | at90s/ls2323 | 2k | 128 | 128 | 10 | pdip-8 |
| 3 | at90s/ls2343 | 2k | 128 | 128 | 10 | pdip-8 |
| 4 | at90s4414 | 4k | 256 | 256 | 8 | pdip-40 |
| 5 | at90s/ls4434 | 4k | 256 | 256 | 8 | pdip-40 |
| 6 | at90s8515 | 8k | 512 | 512 | 8 | pdip-40 |
| 7 | at90s/ls8535 | 8k | 512 | 512 | 8 | pdip-40 | | | | count ( "flash size" ) |
|---:|-------------------------:|
| 0 | 0 | | [
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select count ( * ) where premiere date = 0 or episode title = 0 col : series number | season number | episode title | premiere date | production code row 1 : 1 | 1 | going up! | october 25, 1998 | 101 row 2 : 2 | 2 | who's the man | november 1, 1998 | 102 row 3 : 3 | 3 | vootle-muck-a-heev | november 8, 1998 | 103 row 4 : 4 | 4 | close encounters | november 15, 1998 | 104 row 5 : 5 | 5 | hurricane jules | november 22, 1998 | 105 row 6 : 6 | 6 | switcheroo | november 29, 1998 | 106 row 7 : 7 | 7 | front page | january 17, 1999 | 107 row 8 : 8 | 8 | special fx-ation | january 24, 1999 | 108 row 9 : 9 | 9 | the famous stone gold | january 31, 1999 | 109 row 10 : 10 | 10 | kiss and tell | february 7, 1999 | 110 row 11 : 11 | 11 | jb's big break | february 21, 1999 | 111 row 12 : 12 | 12 | bottom's up | march 7, 1999 | 112 row 13 : 13 | 13 | hot dog | march 14, 1999 | 113 | col : count ( "*" ) row 1 : 0 | select count ( * ) where premiere date = 0 or episode title = 0 <table_name> : table \begin{tabular}{llllll}
\toprule
& series number & season number & episode title & premiere date & production code \\
\midrule
0 & 1 & 1 & going up! & october 25, 1998 & 101 \\
1 & 2 & 2 & who's the man & november 1, 1998 & 102 \\
2 & 3 & 3 & vootle-muck-a-heev & november 8, 1998 & 103 \\
3 & 4 & 4 & close encounters & november 15, 1998 & 104 \\
4 & 5 & 5 & hurricane jules & november 22, 1998 & 105 \\
5 & 6 & 6 & switcheroo & november 29, 1998 & 106 \\
6 & 7 & 7 & front page & january 17, 1999 & 107 \\
7 & 8 & 8 & special fx-ation & january 24, 1999 & 108 \\
8 & 9 & 9 & the famous stone gold & january 31, 1999 & 109 \\
9 & 10 & 10 & kiss and tell & february 7, 1999 & 110 \\
10 & 11 & 11 & jb's big break & february 21, 1999 & 111 \\
11 & 12 & 12 & bottom's up & march 7, 1999 & 112 \\
12 & 13 & 13 & hot dog & march 14, 1999 & 113 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( * ) where premiere date = 0 or episode title = 0 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>series number</th>
<th>season number</th>
<th>episode title</th>
<th>premiere date</th>
<th>production code</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>1</td>
<td>going up!</td>
<td>october 25, 1998</td>
<td>101</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>2</td>
<td>who's the man</td>
<td>november 1, 1998</td>
<td>102</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>3</td>
<td>vootle-muck-a-heev</td>
<td>november 8, 1998</td>
<td>103</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>4</td>
<td>close encounters</td>
<td>november 15, 1998</td>
<td>104</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>5</td>
<td>hurricane jules</td>
<td>november 22, 1998</td>
<td>105</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>6</td>
<td>switcheroo</td>
<td>november 29, 1998</td>
<td>106</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>7</td>
<td>front page</td>
<td>january 17, 1999</td>
<td>107</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>8</td>
<td>special fx-ation</td>
<td>january 24, 1999</td>
<td>108</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>9</td>
<td>the famous stone gold</td>
<td>january 31, 1999</td>
<td>109</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>10</td>
<td>kiss and tell</td>
<td>february 7, 1999</td>
<td>110</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>11</td>
<td>jb's big break</td>
<td>february 21, 1999</td>
<td>111</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>12</td>
<td>bottom's up</td>
<td>march 7, 1999</td>
<td>112</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>13</td>
<td>hot dog</td>
<td>march 14, 1999</td>
<td>113</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select count ( * ) where premiere date = 0 or episode title = 0 <table_name> : table | | series number | season number | episode title | premiere date | production code |
|---:|----------------:|----------------:|:----------------------|:------------------|------------------:|
| 0 | 1 | 1 | going up! | october 25, 1998 | 101 |
| 1 | 2 | 2 | who's the man | november 1, 1998 | 102 |
| 2 | 3 | 3 | vootle-muck-a-heev | november 8, 1998 | 103 |
| 3 | 4 | 4 | close encounters | november 15, 1998 | 104 |
| 4 | 5 | 5 | hurricane jules | november 22, 1998 | 105 |
| 5 | 6 | 6 | switcheroo | november 29, 1998 | 106 |
| 6 | 7 | 7 | front page | january 17, 1999 | 107 |
| 7 | 8 | 8 | special fx-ation | january 24, 1999 | 108 |
| 8 | 9 | 9 | the famous stone gold | january 31, 1999 | 109 |
| 9 | 10 | 10 | kiss and tell | february 7, 1999 | 110 |
| 10 | 11 | 11 | jb's big break | february 21, 1999 | 111 |
| 11 | 12 | 12 | bottom's up | march 7, 1999 | 112 |
| 12 | 13 | 13 | hot dog | march 14, 1999 | 113 | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 0 | | [
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select penalties p+s+p+s where penalties p+s+p+s = '3+2+0+1' col : rank | athlete | ski time | penalties p+s+p+s | total row 1 : none | zhang qing (chn) | 59:53.2 | 1+1+0+1 | 1:02:53.2 row 2 : none | dmitriy pozdnyakov (kaz) | 1:01:01.0 | 0+2+0+0 | 1:03:01.0 row 3 : none | dmitriy pantov (kaz) | 59:24.8 | 1+2+0+1 | 1:03:24.8 row 4 : 4 | hideki yamamoto (jpn) | 1:02:55.5 | 0+1+3+0 | 1:06:55.5 row 5 : 5 | qiu lianhai (chn) | 1:03:18.9 | 1+1+0+2 | 1:07:18.9 row 6 : 6 | shin byung-gook (kor) | 1:02:49.3 | 1+2+1+1 | 1:07:49.3 row 7 : 7 | son hae-kwon (kor) | 1:02:58.3 | 1+1+2+1 | 1:07:58.3 row 8 : 8 | wang xin (chn) | 1:04:42.4 | 2+1+1+1 | 1:09:42.4 row 9 : 9 | naoki shindo (jpn) | 1:03:08.5 | 3+1+0+3 | 1:10:08.5 row 10 : 9 | jeon jae-won (kor) | 1:02:08.5 | 2+2+2+2 | 1:10:08.5 row 11 : 11 | alexey karevskiy (kaz) | 1:03:28.8 | 3+1+1+2 | 1:10:28.8 row 12 : 12 | sergey abdukarov (kaz) | 1:05:11.4 | 1+2+1+3 | 1:12:11.4 row 13 : 13 | takashi shindo (jpn) | 1:01:15.0 | 3+3+2+4 | 1:13:15.0 row 14 : 14 | shinji ebisawa (jpn) | 1:04:13.6 | 3+3+1+3 | 1:14:13.6 row 15 : 15 | choi neung-chul (kor) | 1:08:50.6 | 3+2+0+1 | 1:14:50.6 row 16 : 16 | byamba enkh-amgalan (mgl) | 1:15:20.4 | 4+5+2+2 | 1:28:20.4 | col : penalties p+s+p+s row 1 : 3+2+0+1 | select penalties p+s+p+s where penalties p+s+p+s = '3+2+0+1' <table_name> : table \begin{tabular}{llllll}
\toprule
& rank & athlete & ski time & penalties p+s+p+s & total \\
\midrule
0 & none & zhang qing (chn) & 59:53.2 & 1+1+0+1 & 1:02:53.2 \\
1 & none & dmitriy pozdnyakov (kaz) & 1:01:01.0 & 0+2+0+0 & 1:03:01.0 \\
2 & none & dmitriy pantov (kaz) & 59:24.8 & 1+2+0+1 & 1:03:24.8 \\
3 & 4 & hideki yamamoto (jpn) & 1:02:55.5 & 0+1+3+0 & 1:06:55.5 \\
4 & 5 & qiu lianhai (chn) & 1:03:18.9 & 1+1+0+2 & 1:07:18.9 \\
5 & 6 & shin byung-gook (kor) & 1:02:49.3 & 1+2+1+1 & 1:07:49.3 \\
6 & 7 & son hae-kwon (kor) & 1:02:58.3 & 1+1+2+1 & 1:07:58.3 \\
7 & 8 & wang xin (chn) & 1:04:42.4 & 2+1+1+1 & 1:09:42.4 \\
8 & 9 & naoki shindo (jpn) & 1:03:08.5 & 3+1+0+3 & 1:10:08.5 \\
9 & 9 & jeon jae-won (kor) & 1:02:08.5 & 2+2+2+2 & 1:10:08.5 \\
10 & 11 & alexey karevskiy (kaz) & 1:03:28.8 & 3+1+1+2 & 1:10:28.8 \\
11 & 12 & sergey abdukarov (kaz) & 1:05:11.4 & 1+2+1+3 & 1:12:11.4 \\
12 & 13 & takashi shindo (jpn) & 1:01:15.0 & 3+3+2+4 & 1:13:15.0 \\
13 & 14 & shinji ebisawa (jpn) & 1:04:13.6 & 3+3+1+3 & 1:14:13.6 \\
14 & 15 & choi neung-chul (kor) & 1:08:50.6 & 3+2+0+1 & 1:14:50.6 \\
15 & 16 & byamba enkh-amgalan (mgl) & 1:15:20.4 & 4+5+2+2 & 1:28:20.4 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& penalties p+s+p+s \\
\midrule
0 & 3+2+0+1 \\
\bottomrule
\end{tabular}
| select penalties p+s+p+s where penalties p+s+p+s = '3+2+0+1' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>athlete</th>
<th>ski time</th>
<th>penalties p+s+p+s</th>
<th>total</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>none</td>
<td>zhang qing (chn)</td>
<td>59:53.2</td>
<td>1+1+0+1</td>
<td>1:02:53.2</td>
</tr>
<tr>
<th>1</th>
<td>none</td>
<td>dmitriy pozdnyakov (kaz)</td>
<td>1:01:01.0</td>
<td>0+2+0+0</td>
<td>1:03:01.0</td>
</tr>
<tr>
<th>2</th>
<td>none</td>
<td>dmitriy pantov (kaz)</td>
<td>59:24.8</td>
<td>1+2+0+1</td>
<td>1:03:24.8</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>hideki yamamoto (jpn)</td>
<td>1:02:55.5</td>
<td>0+1+3+0</td>
<td>1:06:55.5</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>qiu lianhai (chn)</td>
<td>1:03:18.9</td>
<td>1+1+0+2</td>
<td>1:07:18.9</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>shin byung-gook (kor)</td>
<td>1:02:49.3</td>
<td>1+2+1+1</td>
<td>1:07:49.3</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>son hae-kwon (kor)</td>
<td>1:02:58.3</td>
<td>1+1+2+1</td>
<td>1:07:58.3</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>wang xin (chn)</td>
<td>1:04:42.4</td>
<td>2+1+1+1</td>
<td>1:09:42.4</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>naoki shindo (jpn)</td>
<td>1:03:08.5</td>
<td>3+1+0+3</td>
<td>1:10:08.5</td>
</tr>
<tr>
<th>9</th>
<td>9</td>
<td>jeon jae-won (kor)</td>
<td>1:02:08.5</td>
<td>2+2+2+2</td>
<td>1:10:08.5</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>alexey karevskiy (kaz)</td>
<td>1:03:28.8</td>
<td>3+1+1+2</td>
<td>1:10:28.8</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>sergey abdukarov (kaz)</td>
<td>1:05:11.4</td>
<td>1+2+1+3</td>
<td>1:12:11.4</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>takashi shindo (jpn)</td>
<td>1:01:15.0</td>
<td>3+3+2+4</td>
<td>1:13:15.0</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>shinji ebisawa (jpn)</td>
<td>1:04:13.6</td>
<td>3+3+1+3</td>
<td>1:14:13.6</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>choi neung-chul (kor)</td>
<td>1:08:50.6</td>
<td>3+2+0+1</td>
<td>1:14:50.6</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>byamba enkh-amgalan (mgl)</td>
<td>1:15:20.4</td>
<td>4+5+2+2</td>
<td>1:28:20.4</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>penalties p+s+p+s</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>3+2+0+1</td>
</tr>
</tbody>
</table> | select penalties p+s+p+s where penalties p+s+p+s = '3+2+0+1' <table_name> : table | | rank | athlete | ski time | penalties p+s+p+s | total |
|---:|:-------|:--------------------------|:-----------|:--------------------|:----------|
| 0 | none | zhang qing (chn) | 59:53.2 | 1+1+0+1 | 1:02:53.2 |
| 1 | none | dmitriy pozdnyakov (kaz) | 1:01:01.0 | 0+2+0+0 | 1:03:01.0 |
| 2 | none | dmitriy pantov (kaz) | 59:24.8 | 1+2+0+1 | 1:03:24.8 |
| 3 | 4 | hideki yamamoto (jpn) | 1:02:55.5 | 0+1+3+0 | 1:06:55.5 |
| 4 | 5 | qiu lianhai (chn) | 1:03:18.9 | 1+1+0+2 | 1:07:18.9 |
| 5 | 6 | shin byung-gook (kor) | 1:02:49.3 | 1+2+1+1 | 1:07:49.3 |
| 6 | 7 | son hae-kwon (kor) | 1:02:58.3 | 1+1+2+1 | 1:07:58.3 |
| 7 | 8 | wang xin (chn) | 1:04:42.4 | 2+1+1+1 | 1:09:42.4 |
| 8 | 9 | naoki shindo (jpn) | 1:03:08.5 | 3+1+0+3 | 1:10:08.5 |
| 9 | 9 | jeon jae-won (kor) | 1:02:08.5 | 2+2+2+2 | 1:10:08.5 |
| 10 | 11 | alexey karevskiy (kaz) | 1:03:28.8 | 3+1+1+2 | 1:10:28.8 |
| 11 | 12 | sergey abdukarov (kaz) | 1:05:11.4 | 1+2+1+3 | 1:12:11.4 |
| 12 | 13 | takashi shindo (jpn) | 1:01:15.0 | 3+3+2+4 | 1:13:15.0 |
| 13 | 14 | shinji ebisawa (jpn) | 1:04:13.6 | 3+3+1+3 | 1:14:13.6 |
| 14 | 15 | choi neung-chul (kor) | 1:08:50.6 | 3+2+0+1 | 1:14:50.6 |
| 15 | 16 | byamba enkh-amgalan (mgl) | 1:15:20.4 | 4+5+2+2 | 1:28:20.4 | | | | penalties p+s+p+s |
|---:|:--------------------|
| 0 | 3+2+0+1 | | [
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] |
select caps where club = 'malmo ff' col : name | pos. | caps | goals | club row 1 : olle ahlund | mf | 1 | 0 | degerfors if row 2 : sune "mona-lisa" andersson | mf | 5 | 0 | aik solna row 3 : henry "garvis" carlsson | fw | 2 | 0 | aik solna row 4 : rune "killing" emanuelsson | mf | 2 | 0 | ifk goteborg row 5 : thure grahn | df | 1 | 0 | is halmia halmstad row 6 : gunnar "il professore" gren | fw | 5 | 5 | ifk goteborg row 7 : sven "jack" jacobsson | mf | 1 | 0 | gais goteborg row 8 : egon "hemliga" jonsson | fw | 1 | 0 | malmo ff row 9 : borje leander | mf | 1 | 0 | aik solna row 10 : nils "lidas"/"greven" liedholm | fw | 6 | 5 | ifk norrkoping row 11 : torsten "lindy" lindberg | gk | 5 | 0 | ifk norrkoping row 12 : lennart lindskog | fw | 1 | 0 | degerfors if row 13 : malte "svarta blixten" martensson | fw | 2 | 0 | halsingborgs if row 14 : erik nilsson | df | 4 | 0 | malmo ff row 15 : harry nilsson | df | 2 | 0 | aik solna row 16 : ove nilsson | gk | 1 | 0 | djurgardens if stockholm row 17 : stellan nilsson | fw | 4 | 0 | malmo ff row 18 : bertil nordahl | mf | 4 | 0 | degerfors if row 19 : gunnar nordahl | fw | 6 | 8 | ifk norrkoping row 20 : knut nordahl | df | 5 | 0 | ifk norrkoping row 21 : stig nystrom | fw | 1 | 1 | djurgardens if stockholm row 22 : kjell rosen | mf/fw | 4 | 0 | malmo ff row 23 : birger "bian" rosengren | mf | 1 | 0 | ifk norrkoping row 24 : rolf svensson | fw | 1 | 0 | halsingborgs if row 25 : borje tapper | fw | 1 | 1 | malmo ff | col : caps row 1 : 1 row 2 : 4 row 3 : 4 row 4 : 4 row 5 : 1 | select caps where club = 'malmo ff' <table_name> : table \begin{tabular}{llllll}
\toprule
& name & pos. & caps & goals & club \\
\midrule
0 & olle ahlund & mf & 1 & 0 & degerfors if \\
1 & sune "mona-lisa" andersson & mf & 5 & 0 & aik solna \\
2 & henry "garvis" carlsson & fw & 2 & 0 & aik solna \\
3 & rune "killing" emanuelsson & mf & 2 & 0 & ifk goteborg \\
4 & thure grahn & df & 1 & 0 & is halmia halmstad \\
5 & gunnar "il professore" gren & fw & 5 & 5 & ifk goteborg \\
6 & sven "jack" jacobsson & mf & 1 & 0 & gais goteborg \\
7 & egon "hemliga" jonsson & fw & 1 & 0 & malmo ff \\
8 & borje leander & mf & 1 & 0 & aik solna \\
9 & nils "lidas"/"greven" liedholm & fw & 6 & 5 & ifk norrkoping \\
10 & torsten "lindy" lindberg & gk & 5 & 0 & ifk norrkoping \\
11 & lennart lindskog & fw & 1 & 0 & degerfors if \\
12 & malte "svarta blixten" martensson & fw & 2 & 0 & halsingborgs if \\
13 & erik nilsson & df & 4 & 0 & malmo ff \\
14 & harry nilsson & df & 2 & 0 & aik solna \\
15 & ove nilsson & gk & 1 & 0 & djurgardens if stockholm \\
16 & stellan nilsson & fw & 4 & 0 & malmo ff \\
17 & bertil nordahl & mf & 4 & 0 & degerfors if \\
18 & gunnar nordahl & fw & 6 & 8 & ifk norrkoping \\
19 & knut nordahl & df & 5 & 0 & ifk norrkoping \\
20 & stig nystrom & fw & 1 & 1 & djurgardens if stockholm \\
21 & kjell rosen & mf/fw & 4 & 0 & malmo ff \\
22 & birger "bian" rosengren & mf & 1 & 0 & ifk norrkoping \\
23 & rolf svensson & fw & 1 & 0 & halsingborgs if \\
24 & borje tapper & fw & 1 & 1 & malmo ff \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& caps \\
\midrule
0 & 1 \\
1 & 4 \\
2 & 4 \\
3 & 4 \\
4 & 1 \\
\bottomrule
\end{tabular}
| select caps where club = 'malmo ff' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>name</th>
<th>pos.</th>
<th>caps</th>
<th>goals</th>
<th>club</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>olle ahlund</td>
<td>mf</td>
<td>1</td>
<td>0</td>
<td>degerfors if</td>
</tr>
<tr>
<th>1</th>
<td>sune "mona-lisa" andersson</td>
<td>mf</td>
<td>5</td>
<td>0</td>
<td>aik solna</td>
</tr>
<tr>
<th>2</th>
<td>henry "garvis" carlsson</td>
<td>fw</td>
<td>2</td>
<td>0</td>
<td>aik solna</td>
</tr>
<tr>
<th>3</th>
<td>rune "killing" emanuelsson</td>
<td>mf</td>
<td>2</td>
<td>0</td>
<td>ifk goteborg</td>
</tr>
<tr>
<th>4</th>
<td>thure grahn</td>
<td>df</td>
<td>1</td>
<td>0</td>
<td>is halmia halmstad</td>
</tr>
<tr>
<th>5</th>
<td>gunnar "il professore" gren</td>
<td>fw</td>
<td>5</td>
<td>5</td>
<td>ifk goteborg</td>
</tr>
<tr>
<th>6</th>
<td>sven "jack" jacobsson</td>
<td>mf</td>
<td>1</td>
<td>0</td>
<td>gais goteborg</td>
</tr>
<tr>
<th>7</th>
<td>egon "hemliga" jonsson</td>
<td>fw</td>
<td>1</td>
<td>0</td>
<td>malmo ff</td>
</tr>
<tr>
<th>8</th>
<td>borje leander</td>
<td>mf</td>
<td>1</td>
<td>0</td>
<td>aik solna</td>
</tr>
<tr>
<th>9</th>
<td>nils "lidas"/"greven" liedholm</td>
<td>fw</td>
<td>6</td>
<td>5</td>
<td>ifk norrkoping</td>
</tr>
<tr>
<th>10</th>
<td>torsten "lindy" lindberg</td>
<td>gk</td>
<td>5</td>
<td>0</td>
<td>ifk norrkoping</td>
</tr>
<tr>
<th>11</th>
<td>lennart lindskog</td>
<td>fw</td>
<td>1</td>
<td>0</td>
<td>degerfors if</td>
</tr>
<tr>
<th>12</th>
<td>malte "svarta blixten" martensson</td>
<td>fw</td>
<td>2</td>
<td>0</td>
<td>halsingborgs if</td>
</tr>
<tr>
<th>13</th>
<td>erik nilsson</td>
<td>df</td>
<td>4</td>
<td>0</td>
<td>malmo ff</td>
</tr>
<tr>
<th>14</th>
<td>harry nilsson</td>
<td>df</td>
<td>2</td>
<td>0</td>
<td>aik solna</td>
</tr>
<tr>
<th>15</th>
<td>ove nilsson</td>
<td>gk</td>
<td>1</td>
<td>0</td>
<td>djurgardens if stockholm</td>
</tr>
<tr>
<th>16</th>
<td>stellan nilsson</td>
<td>fw</td>
<td>4</td>
<td>0</td>
<td>malmo ff</td>
</tr>
<tr>
<th>17</th>
<td>bertil nordahl</td>
<td>mf</td>
<td>4</td>
<td>0</td>
<td>degerfors if</td>
</tr>
<tr>
<th>18</th>
<td>gunnar nordahl</td>
<td>fw</td>
<td>6</td>
<td>8</td>
<td>ifk norrkoping</td>
</tr>
<tr>
<th>19</th>
<td>knut nordahl</td>
<td>df</td>
<td>5</td>
<td>0</td>
<td>ifk norrkoping</td>
</tr>
<tr>
<th>20</th>
<td>stig nystrom</td>
<td>fw</td>
<td>1</td>
<td>1</td>
<td>djurgardens if stockholm</td>
</tr>
<tr>
<th>21</th>
<td>kjell rosen</td>
<td>mf/fw</td>
<td>4</td>
<td>0</td>
<td>malmo ff</td>
</tr>
<tr>
<th>22</th>
<td>birger "bian" rosengren</td>
<td>mf</td>
<td>1</td>
<td>0</td>
<td>ifk norrkoping</td>
</tr>
<tr>
<th>23</th>
<td>rolf svensson</td>
<td>fw</td>
<td>1</td>
<td>0</td>
<td>halsingborgs if</td>
</tr>
<tr>
<th>24</th>
<td>borje tapper</td>
<td>fw</td>
<td>1</td>
<td>1</td>
<td>malmo ff</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>caps</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
<tr>
<th>1</th>
<td>4</td>
</tr>
<tr>
<th>2</th>
<td>4</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
</tr>
<tr>
<th>4</th>
<td>1</td>
</tr>
</tbody>
</table> | select caps where club = 'malmo ff' <table_name> : table | | name | pos. | caps | goals | club |
|---:|:----------------------------------|:-------|-------:|--------:|:-------------------------|
| 0 | olle ahlund | mf | 1 | 0 | degerfors if |
| 1 | sune "mona-lisa" andersson | mf | 5 | 0 | aik solna |
| 2 | henry "garvis" carlsson | fw | 2 | 0 | aik solna |
| 3 | rune "killing" emanuelsson | mf | 2 | 0 | ifk goteborg |
| 4 | thure grahn | df | 1 | 0 | is halmia halmstad |
| 5 | gunnar "il professore" gren | fw | 5 | 5 | ifk goteborg |
| 6 | sven "jack" jacobsson | mf | 1 | 0 | gais goteborg |
| 7 | egon "hemliga" jonsson | fw | 1 | 0 | malmo ff |
| 8 | borje leander | mf | 1 | 0 | aik solna |
| 9 | nils "lidas"/"greven" liedholm | fw | 6 | 5 | ifk norrkoping |
| 10 | torsten "lindy" lindberg | gk | 5 | 0 | ifk norrkoping |
| 11 | lennart lindskog | fw | 1 | 0 | degerfors if |
| 12 | malte "svarta blixten" martensson | fw | 2 | 0 | halsingborgs if |
| 13 | erik nilsson | df | 4 | 0 | malmo ff |
| 14 | harry nilsson | df | 2 | 0 | aik solna |
| 15 | ove nilsson | gk | 1 | 0 | djurgardens if stockholm |
| 16 | stellan nilsson | fw | 4 | 0 | malmo ff |
| 17 | bertil nordahl | mf | 4 | 0 | degerfors if |
| 18 | gunnar nordahl | fw | 6 | 8 | ifk norrkoping |
| 19 | knut nordahl | df | 5 | 0 | ifk norrkoping |
| 20 | stig nystrom | fw | 1 | 1 | djurgardens if stockholm |
| 21 | kjell rosen | mf/fw | 4 | 0 | malmo ff |
| 22 | birger "bian" rosengren | mf | 1 | 0 | ifk norrkoping |
| 23 | rolf svensson | fw | 1 | 0 | halsingborgs if |
| 24 | borje tapper | fw | 1 | 1 | malmo ff | | | | caps |
|---:|-------:|
| 0 | 1 |
| 1 | 4 |
| 2 | 4 |
| 3 | 4 |
| 4 | 1 | | [
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select count ( distinct name ) where runners up = 'palanganda' col : no. | year | name | held at | number of teams | winner | runners up row 1 : 1 | 1997 | pandanda cup | karada | 60 | kaliyanda | anjaparavanda row 2 : 2 | 1998 | kodira cup | kadanga | 116 | kullettira | koothanda row 3 : 3 | 1999 | ballachanda cup | kakotparambu | 140 | koothanda and kullettira | none row 4 : 4 | 2000 | cheppudira cup | ponnampet | 170 | koothanda | nellamakkada row 5 : 5 | 2001 | nellamakkada cup | ammathi | 220 | koothanda | cheppudira row 6 : 6 | 2002 | chekkera cup | hudikeri | 252 | kullettira | nellamakkada row 7 : 7 | 2003 | kaliyanda cup | napoklu | 280 | nellamakkada | konerira row 8 : 8 | 2004 | maleyanda cup | madapur | 235 | koothanda | nellamakkada row 9 : 9 | 2005 | biddanda cup | madikeri | 222 | nellamakkada | koothanda row 10 : 10 | 2006 | kallichanda cup | ponnampet | 217 | palanganda | machamada row 11 : 11 | 2007 | mandettira cup | kakotparambu | 186 | mandepanda | anjaparavanda row 12 : 12 | 2008 | alamengada cup | ponnampet | 216 | anjaparavanda | koothanda row 13 : 13 | 2009 | mandepanda cup | ammathi | 231 | nellamakkada | koothanda row 14 : 14 | 2010 | maneyapanda cup | ponnampet | 214 | palanganda | mukkatira(bonda) row 15 : 15 | 2011 | machamada cup | ponnampet | 228 | palanganda | kaliyanda row 16 : 16 | 2012 | iychetira cup | ammathi | 217 | palanganda | kaliyanda row 17 : 17 | 2013 | madanda cup | balugodu | 225 | anjaparavanda | palanganda row 18 : 18 | 2014 | thathanda cup | virajpet | none | none | none | col : count ( "distinct name" ) row 1 : 1 | select count ( distinct name ) where runners up = 'palanganda' <table_name> : table \begin{tabular}{llllllll}
\toprule
& no. & year & name & held at & number of teams & winner & runners up \\
\midrule
0 & 1 & 1997 & pandanda cup & karada & 60 & kaliyanda & anjaparavanda \\
1 & 2 & 1998 & kodira cup & kadanga & 116 & kullettira & koothanda \\
2 & 3 & 1999 & ballachanda cup & kakotparambu & 140 & koothanda and kullettira & none \\
3 & 4 & 2000 & cheppudira cup & ponnampet & 170 & koothanda & nellamakkada \\
4 & 5 & 2001 & nellamakkada cup & ammathi & 220 & koothanda & cheppudira \\
5 & 6 & 2002 & chekkera cup & hudikeri & 252 & kullettira & nellamakkada \\
6 & 7 & 2003 & kaliyanda cup & napoklu & 280 & nellamakkada & konerira \\
7 & 8 & 2004 & maleyanda cup & madapur & 235 & koothanda & nellamakkada \\
8 & 9 & 2005 & biddanda cup & madikeri & 222 & nellamakkada & koothanda \\
9 & 10 & 2006 & kallichanda cup & ponnampet & 217 & palanganda & machamada \\
10 & 11 & 2007 & mandettira cup & kakotparambu & 186 & mandepanda & anjaparavanda \\
11 & 12 & 2008 & alamengada cup & ponnampet & 216 & anjaparavanda & koothanda \\
12 & 13 & 2009 & mandepanda cup & ammathi & 231 & nellamakkada & koothanda \\
13 & 14 & 2010 & maneyapanda cup & ponnampet & 214 & palanganda & mukkatira(bonda) \\
14 & 15 & 2011 & machamada cup & ponnampet & 228 & palanganda & kaliyanda \\
15 & 16 & 2012 & iychetira cup & ammathi & 217 & palanganda & kaliyanda \\
16 & 17 & 2013 & madanda cup & balugodu & 225 & anjaparavanda & palanganda \\
17 & 18 & 2014 & thathanda cup & virajpet & none & none & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "distinct name" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( distinct name ) where runners up = 'palanganda' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>no.</th>
<th>year</th>
<th>name</th>
<th>held at</th>
<th>number of teams</th>
<th>winner</th>
<th>runners up</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>1997</td>
<td>pandanda cup</td>
<td>karada</td>
<td>60</td>
<td>kaliyanda</td>
<td>anjaparavanda</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>1998</td>
<td>kodira cup</td>
<td>kadanga</td>
<td>116</td>
<td>kullettira</td>
<td>koothanda</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>1999</td>
<td>ballachanda cup</td>
<td>kakotparambu</td>
<td>140</td>
<td>koothanda and kullettira</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>2000</td>
<td>cheppudira cup</td>
<td>ponnampet</td>
<td>170</td>
<td>koothanda</td>
<td>nellamakkada</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>2001</td>
<td>nellamakkada cup</td>
<td>ammathi</td>
<td>220</td>
<td>koothanda</td>
<td>cheppudira</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>2002</td>
<td>chekkera cup</td>
<td>hudikeri</td>
<td>252</td>
<td>kullettira</td>
<td>nellamakkada</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>2003</td>
<td>kaliyanda cup</td>
<td>napoklu</td>
<td>280</td>
<td>nellamakkada</td>
<td>konerira</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>2004</td>
<td>maleyanda cup</td>
<td>madapur</td>
<td>235</td>
<td>koothanda</td>
<td>nellamakkada</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>2005</td>
<td>biddanda cup</td>
<td>madikeri</td>
<td>222</td>
<td>nellamakkada</td>
<td>koothanda</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>2006</td>
<td>kallichanda cup</td>
<td>ponnampet</td>
<td>217</td>
<td>palanganda</td>
<td>machamada</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>2007</td>
<td>mandettira cup</td>
<td>kakotparambu</td>
<td>186</td>
<td>mandepanda</td>
<td>anjaparavanda</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>2008</td>
<td>alamengada cup</td>
<td>ponnampet</td>
<td>216</td>
<td>anjaparavanda</td>
<td>koothanda</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>2009</td>
<td>mandepanda cup</td>
<td>ammathi</td>
<td>231</td>
<td>nellamakkada</td>
<td>koothanda</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>2010</td>
<td>maneyapanda cup</td>
<td>ponnampet</td>
<td>214</td>
<td>palanganda</td>
<td>mukkatira(bonda)</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>2011</td>
<td>machamada cup</td>
<td>ponnampet</td>
<td>228</td>
<td>palanganda</td>
<td>kaliyanda</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>2012</td>
<td>iychetira cup</td>
<td>ammathi</td>
<td>217</td>
<td>palanganda</td>
<td>kaliyanda</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>2013</td>
<td>madanda cup</td>
<td>balugodu</td>
<td>225</td>
<td>anjaparavanda</td>
<td>palanganda</td>
</tr>
<tr>
<th>17</th>
<td>18</td>
<td>2014</td>
<td>thathanda cup</td>
<td>virajpet</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "distinct name" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( distinct name ) where runners up = 'palanganda' <table_name> : table | | no. | year | name | held at | number of teams | winner | runners up |
|---:|------:|-------:|:-----------------|:-------------|:------------------|:-------------------------|:-----------------|
| 0 | 1 | 1997 | pandanda cup | karada | 60 | kaliyanda | anjaparavanda |
| 1 | 2 | 1998 | kodira cup | kadanga | 116 | kullettira | koothanda |
| 2 | 3 | 1999 | ballachanda cup | kakotparambu | 140 | koothanda and kullettira | none |
| 3 | 4 | 2000 | cheppudira cup | ponnampet | 170 | koothanda | nellamakkada |
| 4 | 5 | 2001 | nellamakkada cup | ammathi | 220 | koothanda | cheppudira |
| 5 | 6 | 2002 | chekkera cup | hudikeri | 252 | kullettira | nellamakkada |
| 6 | 7 | 2003 | kaliyanda cup | napoklu | 280 | nellamakkada | konerira |
| 7 | 8 | 2004 | maleyanda cup | madapur | 235 | koothanda | nellamakkada |
| 8 | 9 | 2005 | biddanda cup | madikeri | 222 | nellamakkada | koothanda |
| 9 | 10 | 2006 | kallichanda cup | ponnampet | 217 | palanganda | machamada |
| 10 | 11 | 2007 | mandettira cup | kakotparambu | 186 | mandepanda | anjaparavanda |
| 11 | 12 | 2008 | alamengada cup | ponnampet | 216 | anjaparavanda | koothanda |
| 12 | 13 | 2009 | mandepanda cup | ammathi | 231 | nellamakkada | koothanda |
| 13 | 14 | 2010 | maneyapanda cup | ponnampet | 214 | palanganda | mukkatira(bonda) |
| 14 | 15 | 2011 | machamada cup | ponnampet | 228 | palanganda | kaliyanda |
| 15 | 16 | 2012 | iychetira cup | ammathi | 217 | palanganda | kaliyanda |
| 16 | 17 | 2013 | madanda cup | balugodu | 225 | anjaparavanda | palanganda |
| 17 | 18 | 2014 | thathanda cup | virajpet | none | none | none | | | | count ( "distinct name" ) |
|---:|----------------------------:|
| 0 | 1 | | [
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select current status where name = 'caja de muertos light' col : name | municipality | established | tower height in meters (ft) | focal plane in meters (ft) | current status | current condition row 1 : los morrillos light | cabo rojo | 1882 | 12 m (40 ft.) | 37 m (121 ft) | active | restored for tourism row 2 : punta higuero light | rincon | 1892 | 21 m (69 ft) | 27 m (90 ft) | active | it has been fully restored and is part of the el faro park, a tourist and recreation center row 3 : punta borinquen light | aguadilla | 1892 | 18 m (60 ft) | 89 m (292 ft) | active | operational row 4 : arecibo light | arecibo | 1898 | 14 m (46 ft) | 36 m (120 ft) | active | restored for tourism row 5 : port san juan light | san juan | 1846 | 15.5 m (51 ft) | 55 m (181 ft) | active | restored for tourism. also known as el morro, faro de morro or faro del castillo del morro or puerto san juan light row 6 : cape san juan light | fajardo | 1880 | 14 m (45 ft) | 79 m (260 ft) | active | restored for tourism row 7 : guanica light | guanica | 1893 | none | none | inactive | ruins row 8 : cardona island light | ponce | 1889 | 11 m (36 ft) | 14 m (46 ft) | active | good row 9 : caja de muertos light | ponce | 1887 | 19 m (63 ft) | 91 m (297 ft) | active | restored for tourism row 10 : punta de las figuras light | arroyo | 1893 | 15 m (50 ft) | none | inactive | restored for tourism row 11 : punta tuna light | maunabo | 1892 | 15 m (49 ft) | 34 m (111 ft) | active | restored for tourism row 12 : mona island light | mayaguez (mona island) | 1900 | 16 m (52 ft) | none | inactive | its condition is considered dire. unless restored soon, many considered the lighthouse lost row 13 : punta mulas light | vieques | 1896 | 10 m (32 ft) | 21 m (68 ft.) | active | restored for tourism row 14 : puerto ferro light | vieques | 1896 | none | none | inactive | abandoned and deteriorating rapidly row 15 : culebrita island light | culebra | 1886 | 13 m (43 ft) | 93 m (305 ft) | active | in ruins row 16 : cabras island light | ceiba | 1908 | none | none | destroyed | abandoned in 1965 and destroyed in 1966 | col : current status row 1 : active | select current status where name = 'caja de muertos light' <table_name> : table \begin{tabular}{llllllll}
\toprule
& name & municipality & established & tower height in meters (ft) & focal plane in meters (ft) & current status & current condition \\
\midrule
0 & los morrillos light & cabo rojo & 1882 & 12 m (40 ft.) & 37 m (121 ft) & active & restored for tourism \\
1 & punta higuero light & rincon & 1892 & 21 m (69 ft) & 27 m (90 ft) & active & it has been fully restored and is part of the el faro park, a tourist and recreation center \\
2 & punta borinquen light & aguadilla & 1892 & 18 m (60 ft) & 89 m (292 ft) & active & operational \\
3 & arecibo light & arecibo & 1898 & 14 m (46 ft) & 36 m (120 ft) & active & restored for tourism \\
4 & port san juan light & san juan & 1846 & 15.5 m (51 ft) & 55 m (181 ft) & active & restored for tourism. also known as el morro, faro de morro or faro del castillo del morro or puerto san juan light \\
5 & cape san juan light & fajardo & 1880 & 14 m (45 ft) & 79 m (260 ft) & active & restored for tourism \\
6 & guanica light & guanica & 1893 & none & none & inactive & ruins \\
7 & cardona island light & ponce & 1889 & 11 m (36 ft) & 14 m (46 ft) & active & good \\
8 & caja de muertos light & ponce & 1887 & 19 m (63 ft) & 91 m (297 ft) & active & restored for tourism \\
9 & punta de las figuras light & arroyo & 1893 & 15 m (50 ft) & none & inactive & restored for tourism \\
10 & punta tuna light & maunabo & 1892 & 15 m (49 ft) & 34 m (111 ft) & active & restored for tourism \\
11 & mona island light & mayaguez (mona island) & 1900 & 16 m (52 ft) & none & inactive & its condition is considered dire. unless restored soon, many considered the lighthouse lost \\
12 & punta mulas light & vieques & 1896 & 10 m (32 ft) & 21 m (68 ft.) & active & restored for tourism \\
13 & puerto ferro light & vieques & 1896 & none & none & inactive & abandoned and deteriorating rapidly \\
14 & culebrita island light & culebra & 1886 & 13 m (43 ft) & 93 m (305 ft) & active & in ruins \\
15 & cabras island light & ceiba & 1908 & none & none & destroyed & abandoned in 1965 and destroyed in 1966 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& current status \\
\midrule
0 & active \\
\bottomrule
\end{tabular}
| select current status where name = 'caja de muertos light' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>name</th>
<th>municipality</th>
<th>established</th>
<th>tower height in meters (ft)</th>
<th>focal plane in meters (ft)</th>
<th>current status</th>
<th>current condition</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>los morrillos light</td>
<td>cabo rojo</td>
<td>1882</td>
<td>12 m (40 ft.)</td>
<td>37 m (121 ft)</td>
<td>active</td>
<td>restored for tourism</td>
</tr>
<tr>
<th>1</th>
<td>punta higuero light</td>
<td>rincon</td>
<td>1892</td>
<td>21 m (69 ft)</td>
<td>27 m (90 ft)</td>
<td>active</td>
<td>it has been fully restored and is part of the el faro park, a tourist and recreation center</td>
</tr>
<tr>
<th>2</th>
<td>punta borinquen light</td>
<td>aguadilla</td>
<td>1892</td>
<td>18 m (60 ft)</td>
<td>89 m (292 ft)</td>
<td>active</td>
<td>operational</td>
</tr>
<tr>
<th>3</th>
<td>arecibo light</td>
<td>arecibo</td>
<td>1898</td>
<td>14 m (46 ft)</td>
<td>36 m (120 ft)</td>
<td>active</td>
<td>restored for tourism</td>
</tr>
<tr>
<th>4</th>
<td>port san juan light</td>
<td>san juan</td>
<td>1846</td>
<td>15.5 m (51 ft)</td>
<td>55 m (181 ft)</td>
<td>active</td>
<td>restored for tourism. also known as el morro, faro de morro or faro del castillo del morro or puerto san juan light</td>
</tr>
<tr>
<th>5</th>
<td>cape san juan light</td>
<td>fajardo</td>
<td>1880</td>
<td>14 m (45 ft)</td>
<td>79 m (260 ft)</td>
<td>active</td>
<td>restored for tourism</td>
</tr>
<tr>
<th>6</th>
<td>guanica light</td>
<td>guanica</td>
<td>1893</td>
<td>none</td>
<td>none</td>
<td>inactive</td>
<td>ruins</td>
</tr>
<tr>
<th>7</th>
<td>cardona island light</td>
<td>ponce</td>
<td>1889</td>
<td>11 m (36 ft)</td>
<td>14 m (46 ft)</td>
<td>active</td>
<td>good</td>
</tr>
<tr>
<th>8</th>
<td>caja de muertos light</td>
<td>ponce</td>
<td>1887</td>
<td>19 m (63 ft)</td>
<td>91 m (297 ft)</td>
<td>active</td>
<td>restored for tourism</td>
</tr>
<tr>
<th>9</th>
<td>punta de las figuras light</td>
<td>arroyo</td>
<td>1893</td>
<td>15 m (50 ft)</td>
<td>none</td>
<td>inactive</td>
<td>restored for tourism</td>
</tr>
<tr>
<th>10</th>
<td>punta tuna light</td>
<td>maunabo</td>
<td>1892</td>
<td>15 m (49 ft)</td>
<td>34 m (111 ft)</td>
<td>active</td>
<td>restored for tourism</td>
</tr>
<tr>
<th>11</th>
<td>mona island light</td>
<td>mayaguez (mona island)</td>
<td>1900</td>
<td>16 m (52 ft)</td>
<td>none</td>
<td>inactive</td>
<td>its condition is considered dire. unless restored soon, many considered the lighthouse lost</td>
</tr>
<tr>
<th>12</th>
<td>punta mulas light</td>
<td>vieques</td>
<td>1896</td>
<td>10 m (32 ft)</td>
<td>21 m (68 ft.)</td>
<td>active</td>
<td>restored for tourism</td>
</tr>
<tr>
<th>13</th>
<td>puerto ferro light</td>
<td>vieques</td>
<td>1896</td>
<td>none</td>
<td>none</td>
<td>inactive</td>
<td>abandoned and deteriorating rapidly</td>
</tr>
<tr>
<th>14</th>
<td>culebrita island light</td>
<td>culebra</td>
<td>1886</td>
<td>13 m (43 ft)</td>
<td>93 m (305 ft)</td>
<td>active</td>
<td>in ruins</td>
</tr>
<tr>
<th>15</th>
<td>cabras island light</td>
<td>ceiba</td>
<td>1908</td>
<td>none</td>
<td>none</td>
<td>destroyed</td>
<td>abandoned in 1965 and destroyed in 1966</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>current status</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>active</td>
</tr>
</tbody>
</table> | select current status where name = 'caja de muertos light' <table_name> : table | | name | municipality | established | tower height in meters (ft) | focal plane in meters (ft) | current status | current condition |
|---:|:---------------------------|:-----------------------|--------------:|:------------------------------|:-----------------------------|:-----------------|:--------------------------------------------------------------------------------------------------------------------|
| 0 | los morrillos light | cabo rojo | 1882 | 12 m (40 ft.) | 37 m (121 ft) | active | restored for tourism |
| 1 | punta higuero light | rincon | 1892 | 21 m (69 ft) | 27 m (90 ft) | active | it has been fully restored and is part of the el faro park, a tourist and recreation center |
| 2 | punta borinquen light | aguadilla | 1892 | 18 m (60 ft) | 89 m (292 ft) | active | operational |
| 3 | arecibo light | arecibo | 1898 | 14 m (46 ft) | 36 m (120 ft) | active | restored for tourism |
| 4 | port san juan light | san juan | 1846 | 15.5 m (51 ft) | 55 m (181 ft) | active | restored for tourism. also known as el morro, faro de morro or faro del castillo del morro or puerto san juan light |
| 5 | cape san juan light | fajardo | 1880 | 14 m (45 ft) | 79 m (260 ft) | active | restored for tourism |
| 6 | guanica light | guanica | 1893 | none | none | inactive | ruins |
| 7 | cardona island light | ponce | 1889 | 11 m (36 ft) | 14 m (46 ft) | active | good |
| 8 | caja de muertos light | ponce | 1887 | 19 m (63 ft) | 91 m (297 ft) | active | restored for tourism |
| 9 | punta de las figuras light | arroyo | 1893 | 15 m (50 ft) | none | inactive | restored for tourism |
| 10 | punta tuna light | maunabo | 1892 | 15 m (49 ft) | 34 m (111 ft) | active | restored for tourism |
| 11 | mona island light | mayaguez (mona island) | 1900 | 16 m (52 ft) | none | inactive | its condition is considered dire. unless restored soon, many considered the lighthouse lost |
| 12 | punta mulas light | vieques | 1896 | 10 m (32 ft) | 21 m (68 ft.) | active | restored for tourism |
| 13 | puerto ferro light | vieques | 1896 | none | none | inactive | abandoned and deteriorating rapidly |
| 14 | culebrita island light | culebra | 1886 | 13 m (43 ft) | 93 m (305 ft) | active | in ruins |
| 15 | cabras island light | ceiba | 1908 | none | none | destroyed | abandoned in 1965 and destroyed in 1966 | | | | current status |
|---:|:-----------------|
| 0 | active | | [
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] |
select count ( * ) where competition = 'central american and caribbean games' col : year | competition | venue | position | event | notes row 1 : 1990 | pan american race walking cup | xalapa, mexico | 25th | 20 km | 1:48:49 row 2 : 1993 | central american and caribbean games | ponce, puerto rico | 3rd | 20 km | 1:29:43 row 3 : 1994 | central american games | san salvador, el salvador | 1st | 20 km | 1:27:45 row 4 : 1995 | pan american games | mar del plata, argentina | 3rd | 20 km | 1:23:50 row 5 : 1995 | central american and caribbean championships | ciudad de guatemala, guatemala | 2nd | 20 km | 1:25:10 a row 6 : 1996 | olympic games | atlanta, georgia | dsq | 20 km | none row 7 : 1997 | world race walking cup | podebrady, czech republic | 5th | 20 km | 1:18:51 row 8 : 1997 | central american and caribbean championships | san juan, puerto rico | 1st | 20 km | 1:26:24.40 cr row 9 : 1997 | world championships | athens, greece | dsq | 20 km | none row 10 : 1997 | central american games | san pedro sula, honduras | 1st | 20 km | 1:35:45 row 11 : 1998 | ibero-american championships | lisbon, portugal | 2nd | 20 km | 1:26:25 row 12 : 1998 | central american and caribbean games | maracaibo, venezuela | 3rd | 20 km | 1:25:31 row 13 : 1999 | pan american games | winnipeg, canada | 4th | 20 km | 1:20:58 row 14 : 1999 | world championships | seville, spain | dsq | 20 km | none row 15 : 2000 | olympic games | sydney, australia | 43rd | 20 km | 1:31:47 row 16 : 2001 | central american and caribbean championships | guatemala city, guatemala | 3rd | 20 km | 1:29:47 a row 17 : 2001 | central american games | ciudad de guatemala, guatemala | 2nd | 20 km | 1:27:53 a row 18 : 2002 | ibero-american championships | ciudad de guatemala, guatemala | 2nd | 20,000 m | 1:24:31 row 19 : 2003 | central american and caribbean championships | st. george's, grenada | 1st | 18,000 m | 1:22:07 row 20 : 2003 | pan american games | santo domingo, dominican republic | dsq | 20 km | none row 21 : 2003 | pan american games | santo domingo, dominican republic | dnf | 50 km | none row 22 : 2003 | world championships | paris, france | dsq | 20 km | none row 23 : 2004 | world race walking cup | naumburg, germany | 15th | 50 km | 3:56:19 row 24 : 2004 | olympic games | athens, greece | dsq | 50 km | none row 25 : 2004 | central american championships | managua, nicaragua | 3rd | 20 km | 1:33:20.46 row 26 : 2005 | central american and caribbean championships | nassau, bahamas | 1st | 20,000 m | 1:30:38.07 row 27 : 2005 | world championships | helsinki, finland | 12th | 50 km | 3:57:56 row 28 : 2006 | ibero-american championships | ponce, puerto rico | none | 20,000 m | dq row 29 : 2006 | central american and caribbean games | cartagena, colombia | 5th | 20 km | 1:33:00 row 30 : 2007 | central american championships | san jose, costa rica | 3rd | 20 km | 1:27:30.42 row 31 : 2007 | pan american games | rio de janeiro, brazil | dsq | 20 km | none | col : count ( "*" ) row 1 : 3 | select count ( * ) where competition = 'central american and caribbean games' <table_name> : table \begin{tabular}{lllllll}
\toprule
& year & competition & venue & position & event & notes \\
\midrule
0 & 1990 & pan american race walking cup & xalapa, mexico & 25th & 20 km & 1:48:49 \\
1 & 1993 & central american and caribbean games & ponce, puerto rico & 3rd & 20 km & 1:29:43 \\
2 & 1994 & central american games & san salvador, el salvador & 1st & 20 km & 1:27:45 \\
3 & 1995 & pan american games & mar del plata, argentina & 3rd & 20 km & 1:23:50 \\
4 & 1995 & central american and caribbean championships & ciudad de guatemala, guatemala & 2nd & 20 km & 1:25:10 a \\
5 & 1996 & olympic games & atlanta, georgia & dsq & 20 km & none \\
6 & 1997 & world race walking cup & podebrady, czech republic & 5th & 20 km & 1:18:51 \\
7 & 1997 & central american and caribbean championships & san juan, puerto rico & 1st & 20 km & 1:26:24.40 cr \\
8 & 1997 & world championships & athens, greece & dsq & 20 km & none \\
9 & 1997 & central american games & san pedro sula, honduras & 1st & 20 km & 1:35:45 \\
10 & 1998 & ibero-american championships & lisbon, portugal & 2nd & 20 km & 1:26:25 \\
11 & 1998 & central american and caribbean games & maracaibo, venezuela & 3rd & 20 km & 1:25:31 \\
12 & 1999 & pan american games & winnipeg, canada & 4th & 20 km & 1:20:58 \\
13 & 1999 & world championships & seville, spain & dsq & 20 km & none \\
14 & 2000 & olympic games & sydney, australia & 43rd & 20 km & 1:31:47 \\
15 & 2001 & central american and caribbean championships & guatemala city, guatemala & 3rd & 20 km & 1:29:47 a \\
16 & 2001 & central american games & ciudad de guatemala, guatemala & 2nd & 20 km & 1:27:53 a \\
17 & 2002 & ibero-american championships & ciudad de guatemala, guatemala & 2nd & 20,000 m & 1:24:31 \\
18 & 2003 & central american and caribbean championships & st. george's, grenada & 1st & 18,000 m & 1:22:07 \\
19 & 2003 & pan american games & santo domingo, dominican republic & dsq & 20 km & none \\
20 & 2003 & pan american games & santo domingo, dominican republic & dnf & 50 km & none \\
21 & 2003 & world championships & paris, france & dsq & 20 km & none \\
22 & 2004 & world race walking cup & naumburg, germany & 15th & 50 km & 3:56:19 \\
23 & 2004 & olympic games & athens, greece & dsq & 50 km & none \\
24 & 2004 & central american championships & managua, nicaragua & 3rd & 20 km & 1:33:20.46 \\
25 & 2005 & central american and caribbean championships & nassau, bahamas & 1st & 20,000 m & 1:30:38.07 \\
26 & 2005 & world championships & helsinki, finland & 12th & 50 km & 3:57:56 \\
27 & 2006 & ibero-american championships & ponce, puerto rico & none & 20,000 m & dq \\
28 & 2006 & central american and caribbean games & cartagena, colombia & 5th & 20 km & 1:33:00 \\
29 & 2007 & central american championships & san jose, costa rica & 3rd & 20 km & 1:27:30.42 \\
30 & 2007 & pan american games & rio de janeiro, brazil & dsq & 20 km & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 3 \\
\bottomrule
\end{tabular}
| select count ( * ) where competition = 'central american and caribbean games' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>competition</th>
<th>venue</th>
<th>position</th>
<th>event</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1990</td>
<td>pan american race walking cup</td>
<td>xalapa, mexico</td>
<td>25th</td>
<td>20 km</td>
<td>1:48:49</td>
</tr>
<tr>
<th>1</th>
<td>1993</td>
<td>central american and caribbean games</td>
<td>ponce, puerto rico</td>
<td>3rd</td>
<td>20 km</td>
<td>1:29:43</td>
</tr>
<tr>
<th>2</th>
<td>1994</td>
<td>central american games</td>
<td>san salvador, el salvador</td>
<td>1st</td>
<td>20 km</td>
<td>1:27:45</td>
</tr>
<tr>
<th>3</th>
<td>1995</td>
<td>pan american games</td>
<td>mar del plata, argentina</td>
<td>3rd</td>
<td>20 km</td>
<td>1:23:50</td>
</tr>
<tr>
<th>4</th>
<td>1995</td>
<td>central american and caribbean championships</td>
<td>ciudad de guatemala, guatemala</td>
<td>2nd</td>
<td>20 km</td>
<td>1:25:10 a</td>
</tr>
<tr>
<th>5</th>
<td>1996</td>
<td>olympic games</td>
<td>atlanta, georgia</td>
<td>dsq</td>
<td>20 km</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>1997</td>
<td>world race walking cup</td>
<td>podebrady, czech republic</td>
<td>5th</td>
<td>20 km</td>
<td>1:18:51</td>
</tr>
<tr>
<th>7</th>
<td>1997</td>
<td>central american and caribbean championships</td>
<td>san juan, puerto rico</td>
<td>1st</td>
<td>20 km</td>
<td>1:26:24.40 cr</td>
</tr>
<tr>
<th>8</th>
<td>1997</td>
<td>world championships</td>
<td>athens, greece</td>
<td>dsq</td>
<td>20 km</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>1997</td>
<td>central american games</td>
<td>san pedro sula, honduras</td>
<td>1st</td>
<td>20 km</td>
<td>1:35:45</td>
</tr>
<tr>
<th>10</th>
<td>1998</td>
<td>ibero-american championships</td>
<td>lisbon, portugal</td>
<td>2nd</td>
<td>20 km</td>
<td>1:26:25</td>
</tr>
<tr>
<th>11</th>
<td>1998</td>
<td>central american and caribbean games</td>
<td>maracaibo, venezuela</td>
<td>3rd</td>
<td>20 km</td>
<td>1:25:31</td>
</tr>
<tr>
<th>12</th>
<td>1999</td>
<td>pan american games</td>
<td>winnipeg, canada</td>
<td>4th</td>
<td>20 km</td>
<td>1:20:58</td>
</tr>
<tr>
<th>13</th>
<td>1999</td>
<td>world championships</td>
<td>seville, spain</td>
<td>dsq</td>
<td>20 km</td>
<td>none</td>
</tr>
<tr>
<th>14</th>
<td>2000</td>
<td>olympic games</td>
<td>sydney, australia</td>
<td>43rd</td>
<td>20 km</td>
<td>1:31:47</td>
</tr>
<tr>
<th>15</th>
<td>2001</td>
<td>central american and caribbean championships</td>
<td>guatemala city, guatemala</td>
<td>3rd</td>
<td>20 km</td>
<td>1:29:47 a</td>
</tr>
<tr>
<th>16</th>
<td>2001</td>
<td>central american games</td>
<td>ciudad de guatemala, guatemala</td>
<td>2nd</td>
<td>20 km</td>
<td>1:27:53 a</td>
</tr>
<tr>
<th>17</th>
<td>2002</td>
<td>ibero-american championships</td>
<td>ciudad de guatemala, guatemala</td>
<td>2nd</td>
<td>20,000 m</td>
<td>1:24:31</td>
</tr>
<tr>
<th>18</th>
<td>2003</td>
<td>central american and caribbean championships</td>
<td>st. george's, grenada</td>
<td>1st</td>
<td>18,000 m</td>
<td>1:22:07</td>
</tr>
<tr>
<th>19</th>
<td>2003</td>
<td>pan american games</td>
<td>santo domingo, dominican republic</td>
<td>dsq</td>
<td>20 km</td>
<td>none</td>
</tr>
<tr>
<th>20</th>
<td>2003</td>
<td>pan american games</td>
<td>santo domingo, dominican republic</td>
<td>dnf</td>
<td>50 km</td>
<td>none</td>
</tr>
<tr>
<th>21</th>
<td>2003</td>
<td>world championships</td>
<td>paris, france</td>
<td>dsq</td>
<td>20 km</td>
<td>none</td>
</tr>
<tr>
<th>22</th>
<td>2004</td>
<td>world race walking cup</td>
<td>naumburg, germany</td>
<td>15th</td>
<td>50 km</td>
<td>3:56:19</td>
</tr>
<tr>
<th>23</th>
<td>2004</td>
<td>olympic games</td>
<td>athens, greece</td>
<td>dsq</td>
<td>50 km</td>
<td>none</td>
</tr>
<tr>
<th>24</th>
<td>2004</td>
<td>central american championships</td>
<td>managua, nicaragua</td>
<td>3rd</td>
<td>20 km</td>
<td>1:33:20.46</td>
</tr>
<tr>
<th>25</th>
<td>2005</td>
<td>central american and caribbean championships</td>
<td>nassau, bahamas</td>
<td>1st</td>
<td>20,000 m</td>
<td>1:30:38.07</td>
</tr>
<tr>
<th>26</th>
<td>2005</td>
<td>world championships</td>
<td>helsinki, finland</td>
<td>12th</td>
<td>50 km</td>
<td>3:57:56</td>
</tr>
<tr>
<th>27</th>
<td>2006</td>
<td>ibero-american championships</td>
<td>ponce, puerto rico</td>
<td>none</td>
<td>20,000 m</td>
<td>dq</td>
</tr>
<tr>
<th>28</th>
<td>2006</td>
<td>central american and caribbean games</td>
<td>cartagena, colombia</td>
<td>5th</td>
<td>20 km</td>
<td>1:33:00</td>
</tr>
<tr>
<th>29</th>
<td>2007</td>
<td>central american championships</td>
<td>san jose, costa rica</td>
<td>3rd</td>
<td>20 km</td>
<td>1:27:30.42</td>
</tr>
<tr>
<th>30</th>
<td>2007</td>
<td>pan american games</td>
<td>rio de janeiro, brazil</td>
<td>dsq</td>
<td>20 km</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>3</td>
</tr>
</tbody>
</table> | select count ( * ) where competition = 'central american and caribbean games' <table_name> : table | | year | competition | venue | position | event | notes |
|---:|-------:|:---------------------------------------------|:----------------------------------|:-----------|:---------|:--------------|
| 0 | 1990 | pan american race walking cup | xalapa, mexico | 25th | 20 km | 1:48:49 |
| 1 | 1993 | central american and caribbean games | ponce, puerto rico | 3rd | 20 km | 1:29:43 |
| 2 | 1994 | central american games | san salvador, el salvador | 1st | 20 km | 1:27:45 |
| 3 | 1995 | pan american games | mar del plata, argentina | 3rd | 20 km | 1:23:50 |
| 4 | 1995 | central american and caribbean championships | ciudad de guatemala, guatemala | 2nd | 20 km | 1:25:10 a |
| 5 | 1996 | olympic games | atlanta, georgia | dsq | 20 km | none |
| 6 | 1997 | world race walking cup | podebrady, czech republic | 5th | 20 km | 1:18:51 |
| 7 | 1997 | central american and caribbean championships | san juan, puerto rico | 1st | 20 km | 1:26:24.40 cr |
| 8 | 1997 | world championships | athens, greece | dsq | 20 km | none |
| 9 | 1997 | central american games | san pedro sula, honduras | 1st | 20 km | 1:35:45 |
| 10 | 1998 | ibero-american championships | lisbon, portugal | 2nd | 20 km | 1:26:25 |
| 11 | 1998 | central american and caribbean games | maracaibo, venezuela | 3rd | 20 km | 1:25:31 |
| 12 | 1999 | pan american games | winnipeg, canada | 4th | 20 km | 1:20:58 |
| 13 | 1999 | world championships | seville, spain | dsq | 20 km | none |
| 14 | 2000 | olympic games | sydney, australia | 43rd | 20 km | 1:31:47 |
| 15 | 2001 | central american and caribbean championships | guatemala city, guatemala | 3rd | 20 km | 1:29:47 a |
| 16 | 2001 | central american games | ciudad de guatemala, guatemala | 2nd | 20 km | 1:27:53 a |
| 17 | 2002 | ibero-american championships | ciudad de guatemala, guatemala | 2nd | 20,000 m | 1:24:31 |
| 18 | 2003 | central american and caribbean championships | st. george's, grenada | 1st | 18,000 m | 1:22:07 |
| 19 | 2003 | pan american games | santo domingo, dominican republic | dsq | 20 km | none |
| 20 | 2003 | pan american games | santo domingo, dominican republic | dnf | 50 km | none |
| 21 | 2003 | world championships | paris, france | dsq | 20 km | none |
| 22 | 2004 | world race walking cup | naumburg, germany | 15th | 50 km | 3:56:19 |
| 23 | 2004 | olympic games | athens, greece | dsq | 50 km | none |
| 24 | 2004 | central american championships | managua, nicaragua | 3rd | 20 km | 1:33:20.46 |
| 25 | 2005 | central american and caribbean championships | nassau, bahamas | 1st | 20,000 m | 1:30:38.07 |
| 26 | 2005 | world championships | helsinki, finland | 12th | 50 km | 3:57:56 |
| 27 | 2006 | ibero-american championships | ponce, puerto rico | none | 20,000 m | dq |
| 28 | 2006 | central american and caribbean games | cartagena, colombia | 5th | 20 km | 1:33:00 |
| 29 | 2007 | central american championships | san jose, costa rica | 3rd | 20 km | 1:27:30.42 |
| 30 | 2007 | pan american games | rio de janeiro, brazil | dsq | 20 km | none | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 3 | | [
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select count ( * ) where movements = 'autumn' col : season | level | division | section | position | movements row 1 : 1985 | tier 4 | division 3 | norra norrland | 5th | none row 2 : 1986 | tier 4 | division 3 | norra norrland | 4th | promoted row 3 : 1987 | tier 3 | division 2 | norra | 5th | none row 4 : 1988 | tier 3 | division 2 | norra | 1st | promoted row 5 : 1989 | tier 2 | division 1 | norra | 3rd | none row 6 : 1990 | tier 2 | division 1 | norra | 6th | none row 7 : 1991 | tier 2 | division 1 | norra | 1st | spring row 8 : none | tier 2 | division 1 | kvalsvenskan | 8th | autumn row 9 : 1992 | tier 2 | division 1 | norra | 7th | spring row 10 : none | tier 2 | division 1 | norra | 8th | autumn - relegated row 11 : 1993 | tier 3 | division 2 | norrland | 1st | promoted row 12 : 1994 | tier 2 | division 1 | norra | 13th | relegated row 13 : 1995 | tier 3 | division 2 | norrland | 9th | none row 14 : 1996 | tier 3 | division 2 | norrland | 8th | none row 15 : 1997 | tier 3 | division 2 | norrland | 6th | none row 16 : 1998 | tier 3 | division 2 | norrland | 7th | none row 17 : 1999 | tier 3 | division 2 | norrland | 3rd | none row 18 : 2000 | tier 3 | division 2 | norrland | 8th | none row 19 : 2001 | tier 3 | division 2 | norrland | 10th | relegation playoffs row 20 : 2002 | tier 3 | division 2 | norrland | 10th | relegation playoffs row 21 : 2003 | tier 3 | division 2 | norrland | 10th | relegation playoffs row 22 : 2004 | tier 3 | division 2 | norrland | 7th | none row 23 : 2005 | tier 3 | division 2 | norrland | 4th | promoted row 24 : 2006 | tier 3 | division 1 | norra | 14th | relegated row 25 : 2007 | tier 4 | division 2 | norrland | 10th | relegation playoffs row 26 : 2008 | tier 4 | division 2 | norrland | 12th | relegated row 27 : 2009 | tier 5 | division 3 | norra norrland | 8th | none row 28 : 2010 | tier 5 | division 3 | norra norrland | 3rd | none row 29 : 2011 | tier 5 | division 3 | norra norrland | 2nd | promotion playoffs row 30 : 2012 | tier 5 | division 3 | norra norrland | 3rd | none | col : count ( "*" ) row 1 : 1 | select count ( * ) where movements = 'autumn' <table_name> : table \begin{tabular}{lllllll}
\toprule
& season & level & division & section & position & movements \\
\midrule
0 & 1985 & tier 4 & division 3 & norra norrland & 5th & none \\
1 & 1986 & tier 4 & division 3 & norra norrland & 4th & promoted \\
2 & 1987 & tier 3 & division 2 & norra & 5th & none \\
3 & 1988 & tier 3 & division 2 & norra & 1st & promoted \\
4 & 1989 & tier 2 & division 1 & norra & 3rd & none \\
5 & 1990 & tier 2 & division 1 & norra & 6th & none \\
6 & 1991 & tier 2 & division 1 & norra & 1st & spring \\
7 & none & tier 2 & division 1 & kvalsvenskan & 8th & autumn \\
8 & 1992 & tier 2 & division 1 & norra & 7th & spring \\
9 & none & tier 2 & division 1 & norra & 8th & autumn - relegated \\
10 & 1993 & tier 3 & division 2 & norrland & 1st & promoted \\
11 & 1994 & tier 2 & division 1 & norra & 13th & relegated \\
12 & 1995 & tier 3 & division 2 & norrland & 9th & none \\
13 & 1996 & tier 3 & division 2 & norrland & 8th & none \\
14 & 1997 & tier 3 & division 2 & norrland & 6th & none \\
15 & 1998 & tier 3 & division 2 & norrland & 7th & none \\
16 & 1999 & tier 3 & division 2 & norrland & 3rd & none \\
17 & 2000 & tier 3 & division 2 & norrland & 8th & none \\
18 & 2001 & tier 3 & division 2 & norrland & 10th & relegation playoffs \\
19 & 2002 & tier 3 & division 2 & norrland & 10th & relegation playoffs \\
20 & 2003 & tier 3 & division 2 & norrland & 10th & relegation playoffs \\
21 & 2004 & tier 3 & division 2 & norrland & 7th & none \\
22 & 2005 & tier 3 & division 2 & norrland & 4th & promoted \\
23 & 2006 & tier 3 & division 1 & norra & 14th & relegated \\
24 & 2007 & tier 4 & division 2 & norrland & 10th & relegation playoffs \\
25 & 2008 & tier 4 & division 2 & norrland & 12th & relegated \\
26 & 2009 & tier 5 & division 3 & norra norrland & 8th & none \\
27 & 2010 & tier 5 & division 3 & norra norrland & 3rd & none \\
28 & 2011 & tier 5 & division 3 & norra norrland & 2nd & promotion playoffs \\
29 & 2012 & tier 5 & division 3 & norra norrland & 3rd & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( * ) where movements = 'autumn' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>season</th>
<th>level</th>
<th>division</th>
<th>section</th>
<th>position</th>
<th>movements</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1985</td>
<td>tier 4</td>
<td>division 3</td>
<td>norra norrland</td>
<td>5th</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>1986</td>
<td>tier 4</td>
<td>division 3</td>
<td>norra norrland</td>
<td>4th</td>
<td>promoted</td>
</tr>
<tr>
<th>2</th>
<td>1987</td>
<td>tier 3</td>
<td>division 2</td>
<td>norra</td>
<td>5th</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>1988</td>
<td>tier 3</td>
<td>division 2</td>
<td>norra</td>
<td>1st</td>
<td>promoted</td>
</tr>
<tr>
<th>4</th>
<td>1989</td>
<td>tier 2</td>
<td>division 1</td>
<td>norra</td>
<td>3rd</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>1990</td>
<td>tier 2</td>
<td>division 1</td>
<td>norra</td>
<td>6th</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>1991</td>
<td>tier 2</td>
<td>division 1</td>
<td>norra</td>
<td>1st</td>
<td>spring</td>
</tr>
<tr>
<th>7</th>
<td>none</td>
<td>tier 2</td>
<td>division 1</td>
<td>kvalsvenskan</td>
<td>8th</td>
<td>autumn</td>
</tr>
<tr>
<th>8</th>
<td>1992</td>
<td>tier 2</td>
<td>division 1</td>
<td>norra</td>
<td>7th</td>
<td>spring</td>
</tr>
<tr>
<th>9</th>
<td>none</td>
<td>tier 2</td>
<td>division 1</td>
<td>norra</td>
<td>8th</td>
<td>autumn - relegated</td>
</tr>
<tr>
<th>10</th>
<td>1993</td>
<td>tier 3</td>
<td>division 2</td>
<td>norrland</td>
<td>1st</td>
<td>promoted</td>
</tr>
<tr>
<th>11</th>
<td>1994</td>
<td>tier 2</td>
<td>division 1</td>
<td>norra</td>
<td>13th</td>
<td>relegated</td>
</tr>
<tr>
<th>12</th>
<td>1995</td>
<td>tier 3</td>
<td>division 2</td>
<td>norrland</td>
<td>9th</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>1996</td>
<td>tier 3</td>
<td>division 2</td>
<td>norrland</td>
<td>8th</td>
<td>none</td>
</tr>
<tr>
<th>14</th>
<td>1997</td>
<td>tier 3</td>
<td>division 2</td>
<td>norrland</td>
<td>6th</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>1998</td>
<td>tier 3</td>
<td>division 2</td>
<td>norrland</td>
<td>7th</td>
<td>none</td>
</tr>
<tr>
<th>16</th>
<td>1999</td>
<td>tier 3</td>
<td>division 2</td>
<td>norrland</td>
<td>3rd</td>
<td>none</td>
</tr>
<tr>
<th>17</th>
<td>2000</td>
<td>tier 3</td>
<td>division 2</td>
<td>norrland</td>
<td>8th</td>
<td>none</td>
</tr>
<tr>
<th>18</th>
<td>2001</td>
<td>tier 3</td>
<td>division 2</td>
<td>norrland</td>
<td>10th</td>
<td>relegation playoffs</td>
</tr>
<tr>
<th>19</th>
<td>2002</td>
<td>tier 3</td>
<td>division 2</td>
<td>norrland</td>
<td>10th</td>
<td>relegation playoffs</td>
</tr>
<tr>
<th>20</th>
<td>2003</td>
<td>tier 3</td>
<td>division 2</td>
<td>norrland</td>
<td>10th</td>
<td>relegation playoffs</td>
</tr>
<tr>
<th>21</th>
<td>2004</td>
<td>tier 3</td>
<td>division 2</td>
<td>norrland</td>
<td>7th</td>
<td>none</td>
</tr>
<tr>
<th>22</th>
<td>2005</td>
<td>tier 3</td>
<td>division 2</td>
<td>norrland</td>
<td>4th</td>
<td>promoted</td>
</tr>
<tr>
<th>23</th>
<td>2006</td>
<td>tier 3</td>
<td>division 1</td>
<td>norra</td>
<td>14th</td>
<td>relegated</td>
</tr>
<tr>
<th>24</th>
<td>2007</td>
<td>tier 4</td>
<td>division 2</td>
<td>norrland</td>
<td>10th</td>
<td>relegation playoffs</td>
</tr>
<tr>
<th>25</th>
<td>2008</td>
<td>tier 4</td>
<td>division 2</td>
<td>norrland</td>
<td>12th</td>
<td>relegated</td>
</tr>
<tr>
<th>26</th>
<td>2009</td>
<td>tier 5</td>
<td>division 3</td>
<td>norra norrland</td>
<td>8th</td>
<td>none</td>
</tr>
<tr>
<th>27</th>
<td>2010</td>
<td>tier 5</td>
<td>division 3</td>
<td>norra norrland</td>
<td>3rd</td>
<td>none</td>
</tr>
<tr>
<th>28</th>
<td>2011</td>
<td>tier 5</td>
<td>division 3</td>
<td>norra norrland</td>
<td>2nd</td>
<td>promotion playoffs</td>
</tr>
<tr>
<th>29</th>
<td>2012</td>
<td>tier 5</td>
<td>division 3</td>
<td>norra norrland</td>
<td>3rd</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( * ) where movements = 'autumn' <table_name> : table | | season | level | division | section | position | movements |
|---:|:---------|:--------|:-----------|:---------------|:-----------|:--------------------|
| 0 | 1985 | tier 4 | division 3 | norra norrland | 5th | none |
| 1 | 1986 | tier 4 | division 3 | norra norrland | 4th | promoted |
| 2 | 1987 | tier 3 | division 2 | norra | 5th | none |
| 3 | 1988 | tier 3 | division 2 | norra | 1st | promoted |
| 4 | 1989 | tier 2 | division 1 | norra | 3rd | none |
| 5 | 1990 | tier 2 | division 1 | norra | 6th | none |
| 6 | 1991 | tier 2 | division 1 | norra | 1st | spring |
| 7 | none | tier 2 | division 1 | kvalsvenskan | 8th | autumn |
| 8 | 1992 | tier 2 | division 1 | norra | 7th | spring |
| 9 | none | tier 2 | division 1 | norra | 8th | autumn - relegated |
| 10 | 1993 | tier 3 | division 2 | norrland | 1st | promoted |
| 11 | 1994 | tier 2 | division 1 | norra | 13th | relegated |
| 12 | 1995 | tier 3 | division 2 | norrland | 9th | none |
| 13 | 1996 | tier 3 | division 2 | norrland | 8th | none |
| 14 | 1997 | tier 3 | division 2 | norrland | 6th | none |
| 15 | 1998 | tier 3 | division 2 | norrland | 7th | none |
| 16 | 1999 | tier 3 | division 2 | norrland | 3rd | none |
| 17 | 2000 | tier 3 | division 2 | norrland | 8th | none |
| 18 | 2001 | tier 3 | division 2 | norrland | 10th | relegation playoffs |
| 19 | 2002 | tier 3 | division 2 | norrland | 10th | relegation playoffs |
| 20 | 2003 | tier 3 | division 2 | norrland | 10th | relegation playoffs |
| 21 | 2004 | tier 3 | division 2 | norrland | 7th | none |
| 22 | 2005 | tier 3 | division 2 | norrland | 4th | promoted |
| 23 | 2006 | tier 3 | division 1 | norra | 14th | relegated |
| 24 | 2007 | tier 4 | division 2 | norrland | 10th | relegation playoffs |
| 25 | 2008 | tier 4 | division 2 | norrland | 12th | relegated |
| 26 | 2009 | tier 5 | division 3 | norra norrland | 8th | none |
| 27 | 2010 | tier 5 | division 3 | norra norrland | 3rd | none |
| 28 | 2011 | tier 5 | division 3 | norra norrland | 2nd | promotion playoffs |
| 29 | 2012 | tier 5 | division 3 | norra norrland | 3rd | none | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 1 | | [
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select count ( * ) where city = 'buffalo, new york' col : team | city | years active | seasons played | win-loss record | win% | playoffs appearances row 1 : anderson packers | anderson, indiana | 1949-1950 | 1 | 37-27 | 0.578 | 1 row 2 : baa buffalo | buffalo, new york | never played | 0 | 0-0 | none | 0 row 3 : baa indianapolis | indianapolis, indiana | never played | 0 | 0-0 | none | 0 row 4 : baltimore bullets | baltimore, maryland | 1947-1954 | 8 | 158-292 | 0.351 | 3 row 5 : chicago stags | chicago, illinois | 1946-1950 | 4 | 145-92 | 0.612 | 4 row 6 : cleveland rebels | cleveland, ohio | 1946-1947 | 1 | 30-30 | 0.5 | 1 row 7 : denver nuggets | denver, colorado | 1949-1950 | 1 | 11-51 | 0.177 | 0 row 8 : detroit falcons | detroit, michigan | 1946-1947 | 1 | 20-40 | 0.333 | 0 row 9 : indianapolis jets | indianapolis, indiana | 1948-1949 | 1 | 18-42 | 0.3 | 0 row 10 : indianapolis olympians | indianapolis, indiana | 1949-1953 | 4 | 132-137 | 0.491 | 4 row 11 : pittsburgh ironmen | pittsburgh, pennsylvania | 1946-1947 | 1 | 15-45 | 0.25 | 0 row 12 : providence steamrollers | providence, rhode island | 1946-1949 | 3 | 46-122 | 0.274 | 0 row 13 : sheboygan red skins | sheboygan, wisconsin | 1949-1950 | 1 | 22-40 | 0.355 | 1 row 14 : st. louis bombers | st. louis, missouri | 1946-1950 | 4 | 122-115 | 0.515 | 3 row 15 : toronto huskies | toronto, ontario | 1946-1947 | 1 | 22-38 | 0.367 | 0 row 16 : washington capitols | washington, d.c | 1946-1951 | 5 | 157-114 | 0.579 | 4 row 17 : waterloo hawks | waterloo, iowa | 1949-1950 | 1 | 19-43 | 0.306 | 0 | col : count ( "*" ) row 1 : 1 | select count ( * ) where city = 'buffalo, new york' <table_name> : table \begin{tabular}{llllllll}
\toprule
& team & city & years active & seasons played & win-loss record & win% & playoffs appearances \\
\midrule
0 & anderson packers & anderson, indiana & 1949-1950 & 1 & 37-27 & 0.578 & 1 \\
1 & baa buffalo & buffalo, new york & never played & 0 & 0-0 & none & 0 \\
2 & baa indianapolis & indianapolis, indiana & never played & 0 & 0-0 & none & 0 \\
3 & baltimore bullets & baltimore, maryland & 1947-1954 & 8 & 158-292 & 0.351 & 3 \\
4 & chicago stags & chicago, illinois & 1946-1950 & 4 & 145-92 & 0.612 & 4 \\
5 & cleveland rebels & cleveland, ohio & 1946-1947 & 1 & 30-30 & 0.5 & 1 \\
6 & denver nuggets & denver, colorado & 1949-1950 & 1 & 11-51 & 0.177 & 0 \\
7 & detroit falcons & detroit, michigan & 1946-1947 & 1 & 20-40 & 0.333 & 0 \\
8 & indianapolis jets & indianapolis, indiana & 1948-1949 & 1 & 18-42 & 0.3 & 0 \\
9 & indianapolis olympians & indianapolis, indiana & 1949-1953 & 4 & 132-137 & 0.491 & 4 \\
10 & pittsburgh ironmen & pittsburgh, pennsylvania & 1946-1947 & 1 & 15-45 & 0.25 & 0 \\
11 & providence steamrollers & providence, rhode island & 1946-1949 & 3 & 46-122 & 0.274 & 0 \\
12 & sheboygan red skins & sheboygan, wisconsin & 1949-1950 & 1 & 22-40 & 0.355 & 1 \\
13 & st. louis bombers & st. louis, missouri & 1946-1950 & 4 & 122-115 & 0.515 & 3 \\
14 & toronto huskies & toronto, ontario & 1946-1947 & 1 & 22-38 & 0.367 & 0 \\
15 & washington capitols & washington, d.c & 1946-1951 & 5 & 157-114 & 0.579 & 4 \\
16 & waterloo hawks & waterloo, iowa & 1949-1950 & 1 & 19-43 & 0.306 & 0 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( * ) where city = 'buffalo, new york' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>team</th>
<th>city</th>
<th>years active</th>
<th>seasons played</th>
<th>win-loss record</th>
<th>win%</th>
<th>playoffs appearances</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>anderson packers</td>
<td>anderson, indiana</td>
<td>1949-1950</td>
<td>1</td>
<td>37-27</td>
<td>0.578</td>
<td>1</td>
</tr>
<tr>
<th>1</th>
<td>baa buffalo</td>
<td>buffalo, new york</td>
<td>never played</td>
<td>0</td>
<td>0-0</td>
<td>none</td>
<td>0</td>
</tr>
<tr>
<th>2</th>
<td>baa indianapolis</td>
<td>indianapolis, indiana</td>
<td>never played</td>
<td>0</td>
<td>0-0</td>
<td>none</td>
<td>0</td>
</tr>
<tr>
<th>3</th>
<td>baltimore bullets</td>
<td>baltimore, maryland</td>
<td>1947-1954</td>
<td>8</td>
<td>158-292</td>
<td>0.351</td>
<td>3</td>
</tr>
<tr>
<th>4</th>
<td>chicago stags</td>
<td>chicago, illinois</td>
<td>1946-1950</td>
<td>4</td>
<td>145-92</td>
<td>0.612</td>
<td>4</td>
</tr>
<tr>
<th>5</th>
<td>cleveland rebels</td>
<td>cleveland, ohio</td>
<td>1946-1947</td>
<td>1</td>
<td>30-30</td>
<td>0.5</td>
<td>1</td>
</tr>
<tr>
<th>6</th>
<td>denver nuggets</td>
<td>denver, colorado</td>
<td>1949-1950</td>
<td>1</td>
<td>11-51</td>
<td>0.177</td>
<td>0</td>
</tr>
<tr>
<th>7</th>
<td>detroit falcons</td>
<td>detroit, michigan</td>
<td>1946-1947</td>
<td>1</td>
<td>20-40</td>
<td>0.333</td>
<td>0</td>
</tr>
<tr>
<th>8</th>
<td>indianapolis jets</td>
<td>indianapolis, indiana</td>
<td>1948-1949</td>
<td>1</td>
<td>18-42</td>
<td>0.3</td>
<td>0</td>
</tr>
<tr>
<th>9</th>
<td>indianapolis olympians</td>
<td>indianapolis, indiana</td>
<td>1949-1953</td>
<td>4</td>
<td>132-137</td>
<td>0.491</td>
<td>4</td>
</tr>
<tr>
<th>10</th>
<td>pittsburgh ironmen</td>
<td>pittsburgh, pennsylvania</td>
<td>1946-1947</td>
<td>1</td>
<td>15-45</td>
<td>0.25</td>
<td>0</td>
</tr>
<tr>
<th>11</th>
<td>providence steamrollers</td>
<td>providence, rhode island</td>
<td>1946-1949</td>
<td>3</td>
<td>46-122</td>
<td>0.274</td>
<td>0</td>
</tr>
<tr>
<th>12</th>
<td>sheboygan red skins</td>
<td>sheboygan, wisconsin</td>
<td>1949-1950</td>
<td>1</td>
<td>22-40</td>
<td>0.355</td>
<td>1</td>
</tr>
<tr>
<th>13</th>
<td>st. louis bombers</td>
<td>st. louis, missouri</td>
<td>1946-1950</td>
<td>4</td>
<td>122-115</td>
<td>0.515</td>
<td>3</td>
</tr>
<tr>
<th>14</th>
<td>toronto huskies</td>
<td>toronto, ontario</td>
<td>1946-1947</td>
<td>1</td>
<td>22-38</td>
<td>0.367</td>
<td>0</td>
</tr>
<tr>
<th>15</th>
<td>washington capitols</td>
<td>washington, d.c</td>
<td>1946-1951</td>
<td>5</td>
<td>157-114</td>
<td>0.579</td>
<td>4</td>
</tr>
<tr>
<th>16</th>
<td>waterloo hawks</td>
<td>waterloo, iowa</td>
<td>1949-1950</td>
<td>1</td>
<td>19-43</td>
<td>0.306</td>
<td>0</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( * ) where city = 'buffalo, new york' <table_name> : table | | team | city | years active | seasons played | win-loss record | win% | playoffs appearances |
|---:|:------------------------|:-------------------------|:---------------|-----------------:|:------------------|:-------|-----------------------:|
| 0 | anderson packers | anderson, indiana | 1949-1950 | 1 | 37-27 | 0.578 | 1 |
| 1 | baa buffalo | buffalo, new york | never played | 0 | 0-0 | none | 0 |
| 2 | baa indianapolis | indianapolis, indiana | never played | 0 | 0-0 | none | 0 |
| 3 | baltimore bullets | baltimore, maryland | 1947-1954 | 8 | 158-292 | 0.351 | 3 |
| 4 | chicago stags | chicago, illinois | 1946-1950 | 4 | 145-92 | 0.612 | 4 |
| 5 | cleveland rebels | cleveland, ohio | 1946-1947 | 1 | 30-30 | 0.5 | 1 |
| 6 | denver nuggets | denver, colorado | 1949-1950 | 1 | 11-51 | 0.177 | 0 |
| 7 | detroit falcons | detroit, michigan | 1946-1947 | 1 | 20-40 | 0.333 | 0 |
| 8 | indianapolis jets | indianapolis, indiana | 1948-1949 | 1 | 18-42 | 0.3 | 0 |
| 9 | indianapolis olympians | indianapolis, indiana | 1949-1953 | 4 | 132-137 | 0.491 | 4 |
| 10 | pittsburgh ironmen | pittsburgh, pennsylvania | 1946-1947 | 1 | 15-45 | 0.25 | 0 |
| 11 | providence steamrollers | providence, rhode island | 1946-1949 | 3 | 46-122 | 0.274 | 0 |
| 12 | sheboygan red skins | sheboygan, wisconsin | 1949-1950 | 1 | 22-40 | 0.355 | 1 |
| 13 | st. louis bombers | st. louis, missouri | 1946-1950 | 4 | 122-115 | 0.515 | 3 |
| 14 | toronto huskies | toronto, ontario | 1946-1947 | 1 | 22-38 | 0.367 | 0 |
| 15 | washington capitols | washington, d.c | 1946-1951 | 5 | 157-114 | 0.579 | 4 |
| 16 | waterloo hawks | waterloo, iowa | 1949-1950 | 1 | 19-43 | 0.306 | 0 | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 1 | | [
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select count ( city ) where city < 1223 col : city | country (noc) | round 1 | run-off | round 3 | round 4 | round 5 row 1 : athens | greece | 32 | none | 38 | 52 | 66 row 2 : rome | italy | 23 | none | 28 | 35 | 41 row 3 : cape town | south africa | 16 | 62 | 22 | 20 | none row 4 : stockholm | sweden | 20 | none | 19 | none | none row 5 : buenos aires | argentina | 16 | 44 | none | none | none | col : count ( "city" ) row 1 : 0 | select count ( city ) where city < 1223 <table_name> : table \begin{tabular}{llllllll}
\toprule
& city & country (noc) & round 1 & run-off & round 3 & round 4 & round 5 \\
\midrule
0 & athens & greece & 32 & none & 38 & 52 & 66 \\
1 & rome & italy & 23 & none & 28 & 35 & 41 \\
2 & cape town & south africa & 16 & 62 & 22 & 20 & none \\
3 & stockholm & sweden & 20 & none & 19 & none & none \\
4 & buenos aires & argentina & 16 & 44 & none & none & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "city" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( city ) where city < 1223 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>city</th>
<th>country (noc)</th>
<th>round 1</th>
<th>run-off</th>
<th>round 3</th>
<th>round 4</th>
<th>round 5</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>athens</td>
<td>greece</td>
<td>32</td>
<td>none</td>
<td>38</td>
<td>52</td>
<td>66</td>
</tr>
<tr>
<th>1</th>
<td>rome</td>
<td>italy</td>
<td>23</td>
<td>none</td>
<td>28</td>
<td>35</td>
<td>41</td>
</tr>
<tr>
<th>2</th>
<td>cape town</td>
<td>south africa</td>
<td>16</td>
<td>62</td>
<td>22</td>
<td>20</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>stockholm</td>
<td>sweden</td>
<td>20</td>
<td>none</td>
<td>19</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>buenos aires</td>
<td>argentina</td>
<td>16</td>
<td>44</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "city" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select count ( city ) where city < 1223 <table_name> : table | | city | country (noc) | round 1 | run-off | round 3 | round 4 | round 5 |
|---:|:-------------|:----------------|----------:|:----------|:----------|:----------|:----------|
| 0 | athens | greece | 32 | none | 38 | 52 | 66 |
| 1 | rome | italy | 23 | none | 28 | 35 | 41 |
| 2 | cape town | south africa | 16 | 62 | 22 | 20 | none |
| 3 | stockholm | sweden | 20 | none | 19 | none | none |
| 4 | buenos aires | argentina | 16 | 44 | none | none | none | | | | count ( "city" ) |
|---:|-------------------:|
| 0 | 0 | | [
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select record where week = 7 and record = '6-1' col : week | date | opponent | score | result | record row 1 : 1 | july 9 | vs. saskatchewan roughriders | 31-21 | win | 1-0 row 2 : 2 | july 16 | at montreal concordes | 36-0 | win | 2-0 row 3 : 3 | july 24 | vs. hamilton tiger-cats | 36-25 | loss | 2-1 row 4 : 4 | aug 1 | at edmonton eskimos | 32-26 | win | 3-1 row 5 : 5 | aug 8 | vs. bc lions | 29-16 | win | 4-1 row 6 : 6 | aug 20 | at calgary stampeders | 35-4 | win | 5-1 row 7 : 7 | aug 28 | vs. ottawa rough riders | 27-20 | win | 6-1 row 8 : 8 | sept 5 | at saskatchewan roughriders | 36-35 | win | 7-1 row 9 : 9 | sept 11 | vs. calgary stampeders | 15-11 | loss | 7-2 row 10 : 10 | sept 18 | at ottawa rough riders | 38-28 | loss | 7-3 row 11 : 11 | sept 25 | vs. montreal concordes | 19-16 | win | 8-3 row 12 : 12 | oct 2 | at bc lions | 29-19 | win | 9-3 row 13 : 13 | oct 11 | vs. toronto argonauts | 39-35 | win | 10-3 row 14 : 14 | oct 17 | at toronto argonauts | 29-16 | win | 11-3 row 15 : 15 | oct 23 | vs. edmonton eskimos | 33-17 | loss | 11-4 row 16 : 16 | nov 7 | at hamilton tiger-cats | 24-21 | loss | 11-5 | col : record row 1 : 6-1 | select record where week = 7 and record = '6-1' <table_name> : table \begin{tabular}{lllllll}
\toprule
& week & date & opponent & score & result & record \\
\midrule
0 & 1 & july 9 & vs. saskatchewan roughriders & 31-21 & win & 1-0 \\
1 & 2 & july 16 & at montreal concordes & 36-0 & win & 2-0 \\
2 & 3 & july 24 & vs. hamilton tiger-cats & 36-25 & loss & 2-1 \\
3 & 4 & aug 1 & at edmonton eskimos & 32-26 & win & 3-1 \\
4 & 5 & aug 8 & vs. bc lions & 29-16 & win & 4-1 \\
5 & 6 & aug 20 & at calgary stampeders & 35-4 & win & 5-1 \\
6 & 7 & aug 28 & vs. ottawa rough riders & 27-20 & win & 6-1 \\
7 & 8 & sept 5 & at saskatchewan roughriders & 36-35 & win & 7-1 \\
8 & 9 & sept 11 & vs. calgary stampeders & 15-11 & loss & 7-2 \\
9 & 10 & sept 18 & at ottawa rough riders & 38-28 & loss & 7-3 \\
10 & 11 & sept 25 & vs. montreal concordes & 19-16 & win & 8-3 \\
11 & 12 & oct 2 & at bc lions & 29-19 & win & 9-3 \\
12 & 13 & oct 11 & vs. toronto argonauts & 39-35 & win & 10-3 \\
13 & 14 & oct 17 & at toronto argonauts & 29-16 & win & 11-3 \\
14 & 15 & oct 23 & vs. edmonton eskimos & 33-17 & loss & 11-4 \\
15 & 16 & nov 7 & at hamilton tiger-cats & 24-21 & loss & 11-5 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& record \\
\midrule
0 & 6-1 \\
\bottomrule
\end{tabular}
| select record where week = 7 and record = '6-1' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>week</th>
<th>date</th>
<th>opponent</th>
<th>score</th>
<th>result</th>
<th>record</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>july 9</td>
<td>vs. saskatchewan roughriders</td>
<td>31-21</td>
<td>win</td>
<td>1-0</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>july 16</td>
<td>at montreal concordes</td>
<td>36-0</td>
<td>win</td>
<td>2-0</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>july 24</td>
<td>vs. hamilton tiger-cats</td>
<td>36-25</td>
<td>loss</td>
<td>2-1</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>aug 1</td>
<td>at edmonton eskimos</td>
<td>32-26</td>
<td>win</td>
<td>3-1</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>aug 8</td>
<td>vs. bc lions</td>
<td>29-16</td>
<td>win</td>
<td>4-1</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>aug 20</td>
<td>at calgary stampeders</td>
<td>35-4</td>
<td>win</td>
<td>5-1</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>aug 28</td>
<td>vs. ottawa rough riders</td>
<td>27-20</td>
<td>win</td>
<td>6-1</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>sept 5</td>
<td>at saskatchewan roughriders</td>
<td>36-35</td>
<td>win</td>
<td>7-1</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>sept 11</td>
<td>vs. calgary stampeders</td>
<td>15-11</td>
<td>loss</td>
<td>7-2</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>sept 18</td>
<td>at ottawa rough riders</td>
<td>38-28</td>
<td>loss</td>
<td>7-3</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>sept 25</td>
<td>vs. montreal concordes</td>
<td>19-16</td>
<td>win</td>
<td>8-3</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>oct 2</td>
<td>at bc lions</td>
<td>29-19</td>
<td>win</td>
<td>9-3</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>oct 11</td>
<td>vs. toronto argonauts</td>
<td>39-35</td>
<td>win</td>
<td>10-3</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>oct 17</td>
<td>at toronto argonauts</td>
<td>29-16</td>
<td>win</td>
<td>11-3</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>oct 23</td>
<td>vs. edmonton eskimos</td>
<td>33-17</td>
<td>loss</td>
<td>11-4</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>nov 7</td>
<td>at hamilton tiger-cats</td>
<td>24-21</td>
<td>loss</td>
<td>11-5</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>record</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>6-1</td>
</tr>
</tbody>
</table> | select record where week = 7 and record = '6-1' <table_name> : table | | week | date | opponent | score | result | record |
|---:|-------:|:--------|:-----------------------------|:--------|:---------|:---------|
| 0 | 1 | july 9 | vs. saskatchewan roughriders | 31-21 | win | 1-0 |
| 1 | 2 | july 16 | at montreal concordes | 36-0 | win | 2-0 |
| 2 | 3 | july 24 | vs. hamilton tiger-cats | 36-25 | loss | 2-1 |
| 3 | 4 | aug 1 | at edmonton eskimos | 32-26 | win | 3-1 |
| 4 | 5 | aug 8 | vs. bc lions | 29-16 | win | 4-1 |
| 5 | 6 | aug 20 | at calgary stampeders | 35-4 | win | 5-1 |
| 6 | 7 | aug 28 | vs. ottawa rough riders | 27-20 | win | 6-1 |
| 7 | 8 | sept 5 | at saskatchewan roughriders | 36-35 | win | 7-1 |
| 8 | 9 | sept 11 | vs. calgary stampeders | 15-11 | loss | 7-2 |
| 9 | 10 | sept 18 | at ottawa rough riders | 38-28 | loss | 7-3 |
| 10 | 11 | sept 25 | vs. montreal concordes | 19-16 | win | 8-3 |
| 11 | 12 | oct 2 | at bc lions | 29-19 | win | 9-3 |
| 12 | 13 | oct 11 | vs. toronto argonauts | 39-35 | win | 10-3 |
| 13 | 14 | oct 17 | at toronto argonauts | 29-16 | win | 11-3 |
| 14 | 15 | oct 23 | vs. edmonton eskimos | 33-17 | loss | 11-4 |
| 15 | 16 | nov 7 | at hamilton tiger-cats | 24-21 | loss | 11-5 | | | | record |
|---:|:---------|
| 0 | 6-1 | | [
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select tv where attendance > 33 col : date | opponent# | rank# | site | tv | result | attendance row 1 : september 3 | tennessee-chattanooga | #11 | legion field • birmingham, al | none | w 42-13 | 82109 row 2 : september 10 | vanderbilt | #11 | bryant-denny stadium • tuscaloosa, al | jps | w 17-7 | 70123 row 3 : september 17 | at arkansas | #12 | razorback stadium • fayetteville, ar | abc | w 13-6 | 52089 row 4 : september 24 | tulane | #11 | legion field • birmingham, al | none | w 20-10 | 81421 row 5 : october 1 | georgia | #11 | bryant-denny stadium • tuscaloosa, al | espn | w 29-28 | 70123 row 6 : october 8 | southern miss | #11 | bryant-denny stadium • tuscaloosa, al | none | w 14-6 | 70123 row 7 : october 15 | at tennessee | #10 | neyland stadium • knoxville, tn (third saturday in october) | espn | w 17-13 | 96856 row 8 : october 22 | ole miss | #8 | bryant-denny stadium • tuscaloosa, al (rivalry) | abc | w 21-10 | 70123 row 9 : november 5 | at lsu | #6 | tiger stadium • baton rouge, la (rivalry) | espn | w 35-17 | 75453 row 10 : november 12 | at #20 mississippi state | #6 | scott field • starkville, ms (rivalry) | abc | w 29-25 | 41358 row 11 : november 19 | #6 auburn | #4 | legion field • birmingham, al (iron bowl) | abc | w 21-14 | 83091 row 12 : december 3 | vs. #6 florida | #3 | georgia dome • atlanta, ga (sec championship game) | abc | l 23-24 | 74751 row 13 : january 2, 1995 | vs. #13 ohio state | #6 | citrus bowl • orlando, fl (florida citrus bowl) | abc | w 24-17 | 71195 | col : tv row 1 : none row 2 : jps row 3 : abc row 4 : none row 5 : espn row 6 : none row 7 : espn row 8 : abc row 9 : espn row 10 : abc row 11 : abc row 12 : abc row 13 : abc | select tv where attendance > 33 <table_name> : table \begin{tabular}{llllllll}
\toprule
& date & opponent# & rank# & site & tv & result & attendance \\
\midrule
0 & september 3 & tennessee-chattanooga & #11 & legion field • birmingham, al & none & w 42-13 & 82109 \\
1 & september 10 & vanderbilt & #11 & bryant-denny stadium • tuscaloosa, al & jps & w 17-7 & 70123 \\
2 & september 17 & at arkansas & #12 & razorback stadium • fayetteville, ar & abc & w 13-6 & 52089 \\
3 & september 24 & tulane & #11 & legion field • birmingham, al & none & w 20-10 & 81421 \\
4 & october 1 & georgia & #11 & bryant-denny stadium • tuscaloosa, al & espn & w 29-28 & 70123 \\
5 & october 8 & southern miss & #11 & bryant-denny stadium • tuscaloosa, al & none & w 14-6 & 70123 \\
6 & october 15 & at tennessee & #10 & neyland stadium • knoxville, tn (third saturday in october) & espn & w 17-13 & 96856 \\
7 & october 22 & ole miss & #8 & bryant-denny stadium • tuscaloosa, al (rivalry) & abc & w 21-10 & 70123 \\
8 & november 5 & at lsu & #6 & tiger stadium • baton rouge, la (rivalry) & espn & w 35-17 & 75453 \\
9 & november 12 & at #20 mississippi state & #6 & scott field • starkville, ms (rivalry) & abc & w 29-25 & 41358 \\
10 & november 19 & #6 auburn & #4 & legion field • birmingham, al (iron bowl) & abc & w 21-14 & 83091 \\
11 & december 3 & vs. #6 florida & #3 & georgia dome • atlanta, ga (sec championship game) & abc & l 23-24 & 74751 \\
12 & january 2, 1995 & vs. #13 ohio state & #6 & citrus bowl • orlando, fl (florida citrus bowl) & abc & w 24-17 & 71195 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& tv \\
\midrule
0 & none \\
1 & jps \\
2 & abc \\
3 & none \\
4 & espn \\
5 & none \\
6 & espn \\
7 & abc \\
8 & espn \\
9 & abc \\
10 & abc \\
11 & abc \\
12 & abc \\
\bottomrule
\end{tabular}
| select tv where attendance > 33 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>date</th>
<th>opponent#</th>
<th>rank#</th>
<th>site</th>
<th>tv</th>
<th>result</th>
<th>attendance</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>september 3</td>
<td>tennessee-chattanooga</td>
<td>#11</td>
<td>legion field • birmingham, al</td>
<td>none</td>
<td>w 42-13</td>
<td>82109</td>
</tr>
<tr>
<th>1</th>
<td>september 10</td>
<td>vanderbilt</td>
<td>#11</td>
<td>bryant-denny stadium • tuscaloosa, al</td>
<td>jps</td>
<td>w 17-7</td>
<td>70123</td>
</tr>
<tr>
<th>2</th>
<td>september 17</td>
<td>at arkansas</td>
<td>#12</td>
<td>razorback stadium • fayetteville, ar</td>
<td>abc</td>
<td>w 13-6</td>
<td>52089</td>
</tr>
<tr>
<th>3</th>
<td>september 24</td>
<td>tulane</td>
<td>#11</td>
<td>legion field • birmingham, al</td>
<td>none</td>
<td>w 20-10</td>
<td>81421</td>
</tr>
<tr>
<th>4</th>
<td>october 1</td>
<td>georgia</td>
<td>#11</td>
<td>bryant-denny stadium • tuscaloosa, al</td>
<td>espn</td>
<td>w 29-28</td>
<td>70123</td>
</tr>
<tr>
<th>5</th>
<td>october 8</td>
<td>southern miss</td>
<td>#11</td>
<td>bryant-denny stadium • tuscaloosa, al</td>
<td>none</td>
<td>w 14-6</td>
<td>70123</td>
</tr>
<tr>
<th>6</th>
<td>october 15</td>
<td>at tennessee</td>
<td>#10</td>
<td>neyland stadium • knoxville, tn (third saturday in october)</td>
<td>espn</td>
<td>w 17-13</td>
<td>96856</td>
</tr>
<tr>
<th>7</th>
<td>october 22</td>
<td>ole miss</td>
<td>#8</td>
<td>bryant-denny stadium • tuscaloosa, al (rivalry)</td>
<td>abc</td>
<td>w 21-10</td>
<td>70123</td>
</tr>
<tr>
<th>8</th>
<td>november 5</td>
<td>at lsu</td>
<td>#6</td>
<td>tiger stadium • baton rouge, la (rivalry)</td>
<td>espn</td>
<td>w 35-17</td>
<td>75453</td>
</tr>
<tr>
<th>9</th>
<td>november 12</td>
<td>at #20 mississippi state</td>
<td>#6</td>
<td>scott field • starkville, ms (rivalry)</td>
<td>abc</td>
<td>w 29-25</td>
<td>41358</td>
</tr>
<tr>
<th>10</th>
<td>november 19</td>
<td>#6 auburn</td>
<td>#4</td>
<td>legion field • birmingham, al (iron bowl)</td>
<td>abc</td>
<td>w 21-14</td>
<td>83091</td>
</tr>
<tr>
<th>11</th>
<td>december 3</td>
<td>vs. #6 florida</td>
<td>#3</td>
<td>georgia dome • atlanta, ga (sec championship game)</td>
<td>abc</td>
<td>l 23-24</td>
<td>74751</td>
</tr>
<tr>
<th>12</th>
<td>january 2, 1995</td>
<td>vs. #13 ohio state</td>
<td>#6</td>
<td>citrus bowl • orlando, fl (florida citrus bowl)</td>
<td>abc</td>
<td>w 24-17</td>
<td>71195</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>tv</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>jps</td>
</tr>
<tr>
<th>2</th>
<td>abc</td>
</tr>
<tr>
<th>3</th>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>espn</td>
</tr>
<tr>
<th>5</th>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>espn</td>
</tr>
<tr>
<th>7</th>
<td>abc</td>
</tr>
<tr>
<th>8</th>
<td>espn</td>
</tr>
<tr>
<th>9</th>
<td>abc</td>
</tr>
<tr>
<th>10</th>
<td>abc</td>
</tr>
<tr>
<th>11</th>
<td>abc</td>
</tr>
<tr>
<th>12</th>
<td>abc</td>
</tr>
</tbody>
</table> | select tv where attendance > 33 <table_name> : table | | date | opponent# | rank# | site | tv | result | attendance |
|---:|:----------------|:-------------------------|:--------|:------------------------------------------------------------|:-----|:---------|-------------:|
| 0 | september 3 | tennessee-chattanooga | #11 | legion field • birmingham, al | none | w 42-13 | 82109 |
| 1 | september 10 | vanderbilt | #11 | bryant-denny stadium • tuscaloosa, al | jps | w 17-7 | 70123 |
| 2 | september 17 | at arkansas | #12 | razorback stadium • fayetteville, ar | abc | w 13-6 | 52089 |
| 3 | september 24 | tulane | #11 | legion field • birmingham, al | none | w 20-10 | 81421 |
| 4 | october 1 | georgia | #11 | bryant-denny stadium • tuscaloosa, al | espn | w 29-28 | 70123 |
| 5 | october 8 | southern miss | #11 | bryant-denny stadium • tuscaloosa, al | none | w 14-6 | 70123 |
| 6 | october 15 | at tennessee | #10 | neyland stadium • knoxville, tn (third saturday in october) | espn | w 17-13 | 96856 |
| 7 | october 22 | ole miss | #8 | bryant-denny stadium • tuscaloosa, al (rivalry) | abc | w 21-10 | 70123 |
| 8 | november 5 | at lsu | #6 | tiger stadium • baton rouge, la (rivalry) | espn | w 35-17 | 75453 |
| 9 | november 12 | at #20 mississippi state | #6 | scott field • starkville, ms (rivalry) | abc | w 29-25 | 41358 |
| 10 | november 19 | #6 auburn | #4 | legion field • birmingham, al (iron bowl) | abc | w 21-14 | 83091 |
| 11 | december 3 | vs. #6 florida | #3 | georgia dome • atlanta, ga (sec championship game) | abc | l 23-24 | 74751 |
| 12 | january 2, 1995 | vs. #13 ohio state | #6 | citrus bowl • orlando, fl (florida citrus bowl) | abc | w 24-17 | 71195 | | | | tv |
|---:|:-----|
| 0 | none |
| 1 | jps |
| 2 | abc |
| 3 | none |
| 4 | espn |
| 5 | none |
| 6 | espn |
| 7 | abc |
| 8 | espn |
| 9 | abc |
| 10 | abc |
| 11 | abc |
| 12 | abc | | [
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] |
select withdrawn where serial no > 1005 col : number | serial no | entered service | withdrawn | kilometres travelled row 1 : 4101 | 1000 | 1 dec 1953 | 6 jun 1973 | 463,514 row 2 : 4102 | 1002 | 30 oct 1953 | 30 jun 1975 | 492,650 row 3 : 4103 | 1003 | 18 jan 1954 | 2 apr 1974 | 462,871 row 4 : 4104 | 1004 | 13 jan 1954 | 12 oct 1973 | 440,810 row 5 : 4105 | 1005 | 8 feb 1954 | none | none row 6 : 4106 | 1006 | 21 jan 1954 | 4 aug 1972 | 406,288 row 7 : 4107 | 1007 | 25 jan 1954 | 11 aug 1973 | 446,167 row 8 : 4108 | 1008 | 22 feb 1954 | 20 dec 1967 | 402,026 row 9 : 4109 | 1009 | 11 mar 1954 | 9 feb 1972 | 426,074 row 10 : 4110 | 1010 | 10 feb 1955 | 20 may 1974 | 476,489 | col : withdrawn row 1 : 4 aug 1972 row 2 : 11 aug 1973 row 3 : 20 dec 1967 row 4 : 9 feb 1972 row 5 : 20 may 1974 | select withdrawn where serial no > 1005 <table_name> : table \begin{tabular}{llllll}
\toprule
& number & serial no & entered service & withdrawn & kilometres travelled \\
\midrule
0 & 4101 & 1000 & 1 dec 1953 & 6 jun 1973 & 463,514 \\
1 & 4102 & 1002 & 30 oct 1953 & 30 jun 1975 & 492,650 \\
2 & 4103 & 1003 & 18 jan 1954 & 2 apr 1974 & 462,871 \\
3 & 4104 & 1004 & 13 jan 1954 & 12 oct 1973 & 440,810 \\
4 & 4105 & 1005 & 8 feb 1954 & none & none \\
5 & 4106 & 1006 & 21 jan 1954 & 4 aug 1972 & 406,288 \\
6 & 4107 & 1007 & 25 jan 1954 & 11 aug 1973 & 446,167 \\
7 & 4108 & 1008 & 22 feb 1954 & 20 dec 1967 & 402,026 \\
8 & 4109 & 1009 & 11 mar 1954 & 9 feb 1972 & 426,074 \\
9 & 4110 & 1010 & 10 feb 1955 & 20 may 1974 & 476,489 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& withdrawn \\
\midrule
0 & 4 aug 1972 \\
1 & 11 aug 1973 \\
2 & 20 dec 1967 \\
3 & 9 feb 1972 \\
4 & 20 may 1974 \\
\bottomrule
\end{tabular}
| select withdrawn where serial no > 1005 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>number</th>
<th>serial no</th>
<th>entered service</th>
<th>withdrawn</th>
<th>kilometres travelled</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>4101</td>
<td>1000</td>
<td>1 dec 1953</td>
<td>6 jun 1973</td>
<td>463,514</td>
</tr>
<tr>
<th>1</th>
<td>4102</td>
<td>1002</td>
<td>30 oct 1953</td>
<td>30 jun 1975</td>
<td>492,650</td>
</tr>
<tr>
<th>2</th>
<td>4103</td>
<td>1003</td>
<td>18 jan 1954</td>
<td>2 apr 1974</td>
<td>462,871</td>
</tr>
<tr>
<th>3</th>
<td>4104</td>
<td>1004</td>
<td>13 jan 1954</td>
<td>12 oct 1973</td>
<td>440,810</td>
</tr>
<tr>
<th>4</th>
<td>4105</td>
<td>1005</td>
<td>8 feb 1954</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>4106</td>
<td>1006</td>
<td>21 jan 1954</td>
<td>4 aug 1972</td>
<td>406,288</td>
</tr>
<tr>
<th>6</th>
<td>4107</td>
<td>1007</td>
<td>25 jan 1954</td>
<td>11 aug 1973</td>
<td>446,167</td>
</tr>
<tr>
<th>7</th>
<td>4108</td>
<td>1008</td>
<td>22 feb 1954</td>
<td>20 dec 1967</td>
<td>402,026</td>
</tr>
<tr>
<th>8</th>
<td>4109</td>
<td>1009</td>
<td>11 mar 1954</td>
<td>9 feb 1972</td>
<td>426,074</td>
</tr>
<tr>
<th>9</th>
<td>4110</td>
<td>1010</td>
<td>10 feb 1955</td>
<td>20 may 1974</td>
<td>476,489</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>withdrawn</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>4 aug 1972</td>
</tr>
<tr>
<th>1</th>
<td>11 aug 1973</td>
</tr>
<tr>
<th>2</th>
<td>20 dec 1967</td>
</tr>
<tr>
<th>3</th>
<td>9 feb 1972</td>
</tr>
<tr>
<th>4</th>
<td>20 may 1974</td>
</tr>
</tbody>
</table> | select withdrawn where serial no > 1005 <table_name> : table | | number | serial no | entered service | withdrawn | kilometres travelled |
|---:|---------:|------------:|:------------------|:------------|:-----------------------|
| 0 | 4101 | 1000 | 1 dec 1953 | 6 jun 1973 | 463,514 |
| 1 | 4102 | 1002 | 30 oct 1953 | 30 jun 1975 | 492,650 |
| 2 | 4103 | 1003 | 18 jan 1954 | 2 apr 1974 | 462,871 |
| 3 | 4104 | 1004 | 13 jan 1954 | 12 oct 1973 | 440,810 |
| 4 | 4105 | 1005 | 8 feb 1954 | none | none |
| 5 | 4106 | 1006 | 21 jan 1954 | 4 aug 1972 | 406,288 |
| 6 | 4107 | 1007 | 25 jan 1954 | 11 aug 1973 | 446,167 |
| 7 | 4108 | 1008 | 22 feb 1954 | 20 dec 1967 | 402,026 |
| 8 | 4109 | 1009 | 11 mar 1954 | 9 feb 1972 | 426,074 |
| 9 | 4110 | 1010 | 10 feb 1955 | 20 may 1974 | 476,489 | | | | withdrawn |
|---:|:------------|
| 0 | 4 aug 1972 |
| 1 | 11 aug 1973 |
| 2 | 20 dec 1967 |
| 3 | 9 feb 1972 |
| 4 | 20 may 1974 | | [
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] |
select venue where position = '2nd' order by year asc limit 1 col : year | competition | venue | position | event | notes row 1 : 1990 | pan american race walking cup | xalapa, mexico | 25th | 20 km | 1:48:49 row 2 : 1993 | central american and caribbean games | ponce, puerto rico | 3rd | 20 km | 1:29:43 row 3 : 1994 | central american games | san salvador, el salvador | 1st | 20 km | 1:27:45 row 4 : 1995 | pan american games | mar del plata, argentina | 3rd | 20 km | 1:23:50 row 5 : 1995 | central american and caribbean championships | ciudad de guatemala, guatemala | 2nd | 20 km | 1:25:10 a row 6 : 1996 | olympic games | atlanta, georgia | dsq | 20 km | none row 7 : 1997 | world race walking cup | podebrady, czech republic | 5th | 20 km | 1:18:51 row 8 : 1997 | central american and caribbean championships | san juan, puerto rico | 1st | 20 km | 1:26:24.40 cr row 9 : 1997 | world championships | athens, greece | dsq | 20 km | none row 10 : 1997 | central american games | san pedro sula, honduras | 1st | 20 km | 1:35:45 row 11 : 1998 | ibero-american championships | lisbon, portugal | 2nd | 20 km | 1:26:25 row 12 : 1998 | central american and caribbean games | maracaibo, venezuela | 3rd | 20 km | 1:25:31 row 13 : 1999 | pan american games | winnipeg, canada | 4th | 20 km | 1:20:58 row 14 : 1999 | world championships | seville, spain | dsq | 20 km | none row 15 : 2000 | olympic games | sydney, australia | 43rd | 20 km | 1:31:47 row 16 : 2001 | central american and caribbean championships | guatemala city, guatemala | 3rd | 20 km | 1:29:47 a row 17 : 2001 | central american games | ciudad de guatemala, guatemala | 2nd | 20 km | 1:27:53 a row 18 : 2002 | ibero-american championships | ciudad de guatemala, guatemala | 2nd | 20,000 m | 1:24:31 row 19 : 2003 | central american and caribbean championships | st. george's, grenada | 1st | 18,000 m | 1:22:07 row 20 : 2003 | pan american games | santo domingo, dominican republic | dsq | 20 km | none row 21 : 2003 | pan american games | santo domingo, dominican republic | dnf | 50 km | none row 22 : 2003 | world championships | paris, france | dsq | 20 km | none row 23 : 2004 | world race walking cup | naumburg, germany | 15th | 50 km | 3:56:19 row 24 : 2004 | olympic games | athens, greece | dsq | 50 km | none row 25 : 2004 | central american championships | managua, nicaragua | 3rd | 20 km | 1:33:20.46 row 26 : 2005 | central american and caribbean championships | nassau, bahamas | 1st | 20,000 m | 1:30:38.07 row 27 : 2005 | world championships | helsinki, finland | 12th | 50 km | 3:57:56 row 28 : 2006 | ibero-american championships | ponce, puerto rico | none | 20,000 m | dq row 29 : 2006 | central american and caribbean games | cartagena, colombia | 5th | 20 km | 1:33:00 row 30 : 2007 | central american championships | san jose, costa rica | 3rd | 20 km | 1:27:30.42 row 31 : 2007 | pan american games | rio de janeiro, brazil | dsq | 20 km | none | col : venue row 1 : ciudad de guatemala, guatemala | select venue where position = '2nd' order by year asc limit 1 <table_name> : table \begin{tabular}{lllllll}
\toprule
& year & competition & venue & position & event & notes \\
\midrule
0 & 1990 & pan american race walking cup & xalapa, mexico & 25th & 20 km & 1:48:49 \\
1 & 1993 & central american and caribbean games & ponce, puerto rico & 3rd & 20 km & 1:29:43 \\
2 & 1994 & central american games & san salvador, el salvador & 1st & 20 km & 1:27:45 \\
3 & 1995 & pan american games & mar del plata, argentina & 3rd & 20 km & 1:23:50 \\
4 & 1995 & central american and caribbean championships & ciudad de guatemala, guatemala & 2nd & 20 km & 1:25:10 a \\
5 & 1996 & olympic games & atlanta, georgia & dsq & 20 km & none \\
6 & 1997 & world race walking cup & podebrady, czech republic & 5th & 20 km & 1:18:51 \\
7 & 1997 & central american and caribbean championships & san juan, puerto rico & 1st & 20 km & 1:26:24.40 cr \\
8 & 1997 & world championships & athens, greece & dsq & 20 km & none \\
9 & 1997 & central american games & san pedro sula, honduras & 1st & 20 km & 1:35:45 \\
10 & 1998 & ibero-american championships & lisbon, portugal & 2nd & 20 km & 1:26:25 \\
11 & 1998 & central american and caribbean games & maracaibo, venezuela & 3rd & 20 km & 1:25:31 \\
12 & 1999 & pan american games & winnipeg, canada & 4th & 20 km & 1:20:58 \\
13 & 1999 & world championships & seville, spain & dsq & 20 km & none \\
14 & 2000 & olympic games & sydney, australia & 43rd & 20 km & 1:31:47 \\
15 & 2001 & central american and caribbean championships & guatemala city, guatemala & 3rd & 20 km & 1:29:47 a \\
16 & 2001 & central american games & ciudad de guatemala, guatemala & 2nd & 20 km & 1:27:53 a \\
17 & 2002 & ibero-american championships & ciudad de guatemala, guatemala & 2nd & 20,000 m & 1:24:31 \\
18 & 2003 & central american and caribbean championships & st. george's, grenada & 1st & 18,000 m & 1:22:07 \\
19 & 2003 & pan american games & santo domingo, dominican republic & dsq & 20 km & none \\
20 & 2003 & pan american games & santo domingo, dominican republic & dnf & 50 km & none \\
21 & 2003 & world championships & paris, france & dsq & 20 km & none \\
22 & 2004 & world race walking cup & naumburg, germany & 15th & 50 km & 3:56:19 \\
23 & 2004 & olympic games & athens, greece & dsq & 50 km & none \\
24 & 2004 & central american championships & managua, nicaragua & 3rd & 20 km & 1:33:20.46 \\
25 & 2005 & central american and caribbean championships & nassau, bahamas & 1st & 20,000 m & 1:30:38.07 \\
26 & 2005 & world championships & helsinki, finland & 12th & 50 km & 3:57:56 \\
27 & 2006 & ibero-american championships & ponce, puerto rico & none & 20,000 m & dq \\
28 & 2006 & central american and caribbean games & cartagena, colombia & 5th & 20 km & 1:33:00 \\
29 & 2007 & central american championships & san jose, costa rica & 3rd & 20 km & 1:27:30.42 \\
30 & 2007 & pan american games & rio de janeiro, brazil & dsq & 20 km & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& venue \\
\midrule
0 & ciudad de guatemala, guatemala \\
\bottomrule
\end{tabular}
| select venue where position = '2nd' order by year asc limit 1 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>competition</th>
<th>venue</th>
<th>position</th>
<th>event</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1990</td>
<td>pan american race walking cup</td>
<td>xalapa, mexico</td>
<td>25th</td>
<td>20 km</td>
<td>1:48:49</td>
</tr>
<tr>
<th>1</th>
<td>1993</td>
<td>central american and caribbean games</td>
<td>ponce, puerto rico</td>
<td>3rd</td>
<td>20 km</td>
<td>1:29:43</td>
</tr>
<tr>
<th>2</th>
<td>1994</td>
<td>central american games</td>
<td>san salvador, el salvador</td>
<td>1st</td>
<td>20 km</td>
<td>1:27:45</td>
</tr>
<tr>
<th>3</th>
<td>1995</td>
<td>pan american games</td>
<td>mar del plata, argentina</td>
<td>3rd</td>
<td>20 km</td>
<td>1:23:50</td>
</tr>
<tr>
<th>4</th>
<td>1995</td>
<td>central american and caribbean championships</td>
<td>ciudad de guatemala, guatemala</td>
<td>2nd</td>
<td>20 km</td>
<td>1:25:10 a</td>
</tr>
<tr>
<th>5</th>
<td>1996</td>
<td>olympic games</td>
<td>atlanta, georgia</td>
<td>dsq</td>
<td>20 km</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>1997</td>
<td>world race walking cup</td>
<td>podebrady, czech republic</td>
<td>5th</td>
<td>20 km</td>
<td>1:18:51</td>
</tr>
<tr>
<th>7</th>
<td>1997</td>
<td>central american and caribbean championships</td>
<td>san juan, puerto rico</td>
<td>1st</td>
<td>20 km</td>
<td>1:26:24.40 cr</td>
</tr>
<tr>
<th>8</th>
<td>1997</td>
<td>world championships</td>
<td>athens, greece</td>
<td>dsq</td>
<td>20 km</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>1997</td>
<td>central american games</td>
<td>san pedro sula, honduras</td>
<td>1st</td>
<td>20 km</td>
<td>1:35:45</td>
</tr>
<tr>
<th>10</th>
<td>1998</td>
<td>ibero-american championships</td>
<td>lisbon, portugal</td>
<td>2nd</td>
<td>20 km</td>
<td>1:26:25</td>
</tr>
<tr>
<th>11</th>
<td>1998</td>
<td>central american and caribbean games</td>
<td>maracaibo, venezuela</td>
<td>3rd</td>
<td>20 km</td>
<td>1:25:31</td>
</tr>
<tr>
<th>12</th>
<td>1999</td>
<td>pan american games</td>
<td>winnipeg, canada</td>
<td>4th</td>
<td>20 km</td>
<td>1:20:58</td>
</tr>
<tr>
<th>13</th>
<td>1999</td>
<td>world championships</td>
<td>seville, spain</td>
<td>dsq</td>
<td>20 km</td>
<td>none</td>
</tr>
<tr>
<th>14</th>
<td>2000</td>
<td>olympic games</td>
<td>sydney, australia</td>
<td>43rd</td>
<td>20 km</td>
<td>1:31:47</td>
</tr>
<tr>
<th>15</th>
<td>2001</td>
<td>central american and caribbean championships</td>
<td>guatemala city, guatemala</td>
<td>3rd</td>
<td>20 km</td>
<td>1:29:47 a</td>
</tr>
<tr>
<th>16</th>
<td>2001</td>
<td>central american games</td>
<td>ciudad de guatemala, guatemala</td>
<td>2nd</td>
<td>20 km</td>
<td>1:27:53 a</td>
</tr>
<tr>
<th>17</th>
<td>2002</td>
<td>ibero-american championships</td>
<td>ciudad de guatemala, guatemala</td>
<td>2nd</td>
<td>20,000 m</td>
<td>1:24:31</td>
</tr>
<tr>
<th>18</th>
<td>2003</td>
<td>central american and caribbean championships</td>
<td>st. george's, grenada</td>
<td>1st</td>
<td>18,000 m</td>
<td>1:22:07</td>
</tr>
<tr>
<th>19</th>
<td>2003</td>
<td>pan american games</td>
<td>santo domingo, dominican republic</td>
<td>dsq</td>
<td>20 km</td>
<td>none</td>
</tr>
<tr>
<th>20</th>
<td>2003</td>
<td>pan american games</td>
<td>santo domingo, dominican republic</td>
<td>dnf</td>
<td>50 km</td>
<td>none</td>
</tr>
<tr>
<th>21</th>
<td>2003</td>
<td>world championships</td>
<td>paris, france</td>
<td>dsq</td>
<td>20 km</td>
<td>none</td>
</tr>
<tr>
<th>22</th>
<td>2004</td>
<td>world race walking cup</td>
<td>naumburg, germany</td>
<td>15th</td>
<td>50 km</td>
<td>3:56:19</td>
</tr>
<tr>
<th>23</th>
<td>2004</td>
<td>olympic games</td>
<td>athens, greece</td>
<td>dsq</td>
<td>50 km</td>
<td>none</td>
</tr>
<tr>
<th>24</th>
<td>2004</td>
<td>central american championships</td>
<td>managua, nicaragua</td>
<td>3rd</td>
<td>20 km</td>
<td>1:33:20.46</td>
</tr>
<tr>
<th>25</th>
<td>2005</td>
<td>central american and caribbean championships</td>
<td>nassau, bahamas</td>
<td>1st</td>
<td>20,000 m</td>
<td>1:30:38.07</td>
</tr>
<tr>
<th>26</th>
<td>2005</td>
<td>world championships</td>
<td>helsinki, finland</td>
<td>12th</td>
<td>50 km</td>
<td>3:57:56</td>
</tr>
<tr>
<th>27</th>
<td>2006</td>
<td>ibero-american championships</td>
<td>ponce, puerto rico</td>
<td>none</td>
<td>20,000 m</td>
<td>dq</td>
</tr>
<tr>
<th>28</th>
<td>2006</td>
<td>central american and caribbean games</td>
<td>cartagena, colombia</td>
<td>5th</td>
<td>20 km</td>
<td>1:33:00</td>
</tr>
<tr>
<th>29</th>
<td>2007</td>
<td>central american championships</td>
<td>san jose, costa rica</td>
<td>3rd</td>
<td>20 km</td>
<td>1:27:30.42</td>
</tr>
<tr>
<th>30</th>
<td>2007</td>
<td>pan american games</td>
<td>rio de janeiro, brazil</td>
<td>dsq</td>
<td>20 km</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>venue</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>ciudad de guatemala, guatemala</td>
</tr>
</tbody>
</table> | select venue where position = '2nd' order by year asc limit 1 <table_name> : table | | year | competition | venue | position | event | notes |
|---:|-------:|:---------------------------------------------|:----------------------------------|:-----------|:---------|:--------------|
| 0 | 1990 | pan american race walking cup | xalapa, mexico | 25th | 20 km | 1:48:49 |
| 1 | 1993 | central american and caribbean games | ponce, puerto rico | 3rd | 20 km | 1:29:43 |
| 2 | 1994 | central american games | san salvador, el salvador | 1st | 20 km | 1:27:45 |
| 3 | 1995 | pan american games | mar del plata, argentina | 3rd | 20 km | 1:23:50 |
| 4 | 1995 | central american and caribbean championships | ciudad de guatemala, guatemala | 2nd | 20 km | 1:25:10 a |
| 5 | 1996 | olympic games | atlanta, georgia | dsq | 20 km | none |
| 6 | 1997 | world race walking cup | podebrady, czech republic | 5th | 20 km | 1:18:51 |
| 7 | 1997 | central american and caribbean championships | san juan, puerto rico | 1st | 20 km | 1:26:24.40 cr |
| 8 | 1997 | world championships | athens, greece | dsq | 20 km | none |
| 9 | 1997 | central american games | san pedro sula, honduras | 1st | 20 km | 1:35:45 |
| 10 | 1998 | ibero-american championships | lisbon, portugal | 2nd | 20 km | 1:26:25 |
| 11 | 1998 | central american and caribbean games | maracaibo, venezuela | 3rd | 20 km | 1:25:31 |
| 12 | 1999 | pan american games | winnipeg, canada | 4th | 20 km | 1:20:58 |
| 13 | 1999 | world championships | seville, spain | dsq | 20 km | none |
| 14 | 2000 | olympic games | sydney, australia | 43rd | 20 km | 1:31:47 |
| 15 | 2001 | central american and caribbean championships | guatemala city, guatemala | 3rd | 20 km | 1:29:47 a |
| 16 | 2001 | central american games | ciudad de guatemala, guatemala | 2nd | 20 km | 1:27:53 a |
| 17 | 2002 | ibero-american championships | ciudad de guatemala, guatemala | 2nd | 20,000 m | 1:24:31 |
| 18 | 2003 | central american and caribbean championships | st. george's, grenada | 1st | 18,000 m | 1:22:07 |
| 19 | 2003 | pan american games | santo domingo, dominican republic | dsq | 20 km | none |
| 20 | 2003 | pan american games | santo domingo, dominican republic | dnf | 50 km | none |
| 21 | 2003 | world championships | paris, france | dsq | 20 km | none |
| 22 | 2004 | world race walking cup | naumburg, germany | 15th | 50 km | 3:56:19 |
| 23 | 2004 | olympic games | athens, greece | dsq | 50 km | none |
| 24 | 2004 | central american championships | managua, nicaragua | 3rd | 20 km | 1:33:20.46 |
| 25 | 2005 | central american and caribbean championships | nassau, bahamas | 1st | 20,000 m | 1:30:38.07 |
| 26 | 2005 | world championships | helsinki, finland | 12th | 50 km | 3:57:56 |
| 27 | 2006 | ibero-american championships | ponce, puerto rico | none | 20,000 m | dq |
| 28 | 2006 | central american and caribbean games | cartagena, colombia | 5th | 20 km | 1:33:00 |
| 29 | 2007 | central american championships | san jose, costa rica | 3rd | 20 km | 1:27:30.42 |
| 30 | 2007 | pan american games | rio de janeiro, brazil | dsq | 20 km | none | | | | venue |
|---:|:-------------------------------|
| 0 | ciudad de guatemala, guatemala | | [
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select qty. where railroad = 'canadian national' col : railroad | qty. | road numbers | notes row 1 : burlington northern | 3 | 8300-8302 | demonstrators owned by emd but painted for bn; now with csx row 2 : chicago & north western | 55 | 8001-8055 | built to soo line specifications; soo was unable to take delivery due to financial conditions & the order was passed to c&nw row 3 : conrail | 25 | 6843-6867 | after the 1999 conrail split; 12 units went to csx and were renumbered csxt 8710-8721, 8790; 15 units went to ns and were renumbered ns 6702-6716 row 4 : csx transportation | 10 | 8700-8709 | none row 5 : emdx | 4 | 1-4 | demonstrators; emd 1,2,4 to cr 6840-6842; emd 3 leased to bnsf as replacement for emd 9041 (used at dot, pueblo, co) row 6 : kansas city southern | 46 | 714-759 | none row 7 : norfolk southern | 151 | 6550-6700 | slowly rebuilding their sd60s to sd60es at juniata shops row 8 : oakway | 100 | 9000-9099 90 now owned by canadian national 10 still owned by bnsf railway | none row 9 : soo line | 58 | 6000-6057 | soo 6000-6020 returned to leaser, capital finance (cit group) former soo 6021-6057/cp 6221-6257 have now been put up for sale row 10 : union pacific | 85 | 6000-6084 | renumbered up 2155-2239 (except up 6014, wrecked & scrapped) row 11 : canadian national | 64 | 5500-5563 | 5500-5503 are pre-production sd60f's, originally classified as sd50af & built as cn 9900-9903. they look like sd50f's, but internally are sd60f's row 12 : conrail | 80 | 5575-5654 | after the 1999 conrail split; 35 units went to csx and were renumbered csxt 8722-8755, 8774; 46 units went to ns and were renumbered ns 6717-6762 row 13 : burlington northern | 100 | 1991, 9200-9298 | renumbered bnsf 9200-9299, then renumbered bnsf 8100-8199 in 2007-2008 row 14 : conrail | 75 | 5500-5574 | after the 1999 conrail split; 30 units went to csx and were renumbered csxt 8756-8773, 8775 - 8786; 44 units went to ns and were renumbered ns 6763-6806 row 15 : soo line | 5 | 6058-6062 | former soo 6058-6062/cp 6258-6262 have now been put up for sale row 16 : union pacific | 281 | 6085-6365 | renumbered to 2240-2520 except 6106 & 6165. 24 rebuilt into emd sd32ecos. up classifies these as sd59mxs. renumbered 9900-9923. all 24 have been delivered row 17 : carajas railroad (vale) | 2 | 601-602 | manufactured by equipment villares s. a. (evsa) in 1991. last locomotives manufactured by evsa before the merger with ge transportation in brazil, leading to gevisa | col : qty. row 1 : 64 | select qty. where railroad = 'canadian national' <table_name> : table \begin{tabular}{lllll}
\toprule
& railroad & qty. & road numbers & notes \\
\midrule
0 & burlington northern & 3 & 8300-8302 & demonstrators owned by emd but painted for bn; now with csx \\
1 & chicago & north western & 55 & 8001-8055 & built to soo line specifications; soo was unable to take delivery due to financial conditions & the order was passed to c&nw \\
2 & conrail & 25 & 6843-6867 & after the 1999 conrail split; 12 units went to csx and were renumbered csxt 8710-8721, 8790; 15 units went to ns and were renumbered ns 6702-6716 \\
3 & csx transportation & 10 & 8700-8709 & none \\
4 & emdx & 4 & 1-4 & demonstrators; emd 1,2,4 to cr 6840-6842; emd 3 leased to bnsf as replacement for emd 9041 (used at dot, pueblo, co) \\
5 & kansas city southern & 46 & 714-759 & none \\
6 & norfolk southern & 151 & 6550-6700 & slowly rebuilding their sd60s to sd60es at juniata shops \\
7 & oakway & 100 & 9000-9099 90 now owned by canadian national 10 still owned by bnsf railway & none \\
8 & soo line & 58 & 6000-6057 & soo 6000-6020 returned to leaser, capital finance (cit group) former soo 6021-6057/cp 6221-6257 have now been put up for sale \\
9 & union pacific & 85 & 6000-6084 & renumbered up 2155-2239 (except up 6014, wrecked & scrapped) \\
10 & canadian national & 64 & 5500-5563 & 5500-5503 are pre-production sd60f's, originally classified as sd50af & built as cn 9900-9903. they look like sd50f's, but internally are sd60f's \\
11 & conrail & 80 & 5575-5654 & after the 1999 conrail split; 35 units went to csx and were renumbered csxt 8722-8755, 8774; 46 units went to ns and were renumbered ns 6717-6762 \\
12 & burlington northern & 100 & 1991, 9200-9298 & renumbered bnsf 9200-9299, then renumbered bnsf 8100-8199 in 2007-2008 \\
13 & conrail & 75 & 5500-5574 & after the 1999 conrail split; 30 units went to csx and were renumbered csxt 8756-8773, 8775 - 8786; 44 units went to ns and were renumbered ns 6763-6806 \\
14 & soo line & 5 & 6058-6062 & former soo 6058-6062/cp 6258-6262 have now been put up for sale \\
15 & union pacific & 281 & 6085-6365 & renumbered to 2240-2520 except 6106 & 6165. 24 rebuilt into emd sd32ecos. up classifies these as sd59mxs. renumbered 9900-9923. all 24 have been delivered \\
16 & carajas railroad (vale) & 2 & 601-602 & manufactured by equipment villares s. a. (evsa) in 1991. last locomotives manufactured by evsa before the merger with ge transportation in brazil, leading to gevisa \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& qty. \\
\midrule
0 & 64 \\
\bottomrule
\end{tabular}
| select qty. where railroad = 'canadian national' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>railroad</th>
<th>qty.</th>
<th>road numbers</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>burlington northern</td>
<td>3</td>
<td>8300-8302</td>
<td>demonstrators owned by emd but painted for bn; now with csx</td>
</tr>
<tr>
<th>1</th>
<td>chicago & north western</td>
<td>55</td>
<td>8001-8055</td>
<td>built to soo line specifications; soo was unable to take delivery due to financial conditions & the order was passed to c&nw</td>
</tr>
<tr>
<th>2</th>
<td>conrail</td>
<td>25</td>
<td>6843-6867</td>
<td>after the 1999 conrail split; 12 units went to csx and were renumbered csxt 8710-8721, 8790; 15 units went to ns and were renumbered ns 6702-6716</td>
</tr>
<tr>
<th>3</th>
<td>csx transportation</td>
<td>10</td>
<td>8700-8709</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>emdx</td>
<td>4</td>
<td>1-4</td>
<td>demonstrators; emd 1,2,4 to cr 6840-6842; emd 3 leased to bnsf as replacement for emd 9041 (used at dot, pueblo, co)</td>
</tr>
<tr>
<th>5</th>
<td>kansas city southern</td>
<td>46</td>
<td>714-759</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>norfolk southern</td>
<td>151</td>
<td>6550-6700</td>
<td>slowly rebuilding their sd60s to sd60es at juniata shops</td>
</tr>
<tr>
<th>7</th>
<td>oakway</td>
<td>100</td>
<td>9000-9099 90 now owned by canadian national 10 still owned by bnsf railway</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>soo line</td>
<td>58</td>
<td>6000-6057</td>
<td>soo 6000-6020 returned to leaser, capital finance (cit group) former soo 6021-6057/cp 6221-6257 have now been put up for sale</td>
</tr>
<tr>
<th>9</th>
<td>union pacific</td>
<td>85</td>
<td>6000-6084</td>
<td>renumbered up 2155-2239 (except up 6014, wrecked & scrapped)</td>
</tr>
<tr>
<th>10</th>
<td>canadian national</td>
<td>64</td>
<td>5500-5563</td>
<td>5500-5503 are pre-production sd60f's, originally classified as sd50af & built as cn 9900-9903. they look like sd50f's, but internally are sd60f's</td>
</tr>
<tr>
<th>11</th>
<td>conrail</td>
<td>80</td>
<td>5575-5654</td>
<td>after the 1999 conrail split; 35 units went to csx and were renumbered csxt 8722-8755, 8774; 46 units went to ns and were renumbered ns 6717-6762</td>
</tr>
<tr>
<th>12</th>
<td>burlington northern</td>
<td>100</td>
<td>1991, 9200-9298</td>
<td>renumbered bnsf 9200-9299, then renumbered bnsf 8100-8199 in 2007-2008</td>
</tr>
<tr>
<th>13</th>
<td>conrail</td>
<td>75</td>
<td>5500-5574</td>
<td>after the 1999 conrail split; 30 units went to csx and were renumbered csxt 8756-8773, 8775 - 8786; 44 units went to ns and were renumbered ns 6763-6806</td>
</tr>
<tr>
<th>14</th>
<td>soo line</td>
<td>5</td>
<td>6058-6062</td>
<td>former soo 6058-6062/cp 6258-6262 have now been put up for sale</td>
</tr>
<tr>
<th>15</th>
<td>union pacific</td>
<td>281</td>
<td>6085-6365</td>
<td>renumbered to 2240-2520 except 6106 & 6165. 24 rebuilt into emd sd32ecos. up classifies these as sd59mxs. renumbered 9900-9923. all 24 have been delivered</td>
</tr>
<tr>
<th>16</th>
<td>carajas railroad (vale)</td>
<td>2</td>
<td>601-602</td>
<td>manufactured by equipment villares s. a. (evsa) in 1991. last locomotives manufactured by evsa before the merger with ge transportation in brazil, leading to gevisa</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>qty.</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>64</td>
</tr>
</tbody>
</table> | select qty. where railroad = 'canadian national' <table_name> : table | | railroad | qty. | road numbers | notes |
|---:|:------------------------|-------:|:---------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | burlington northern | 3 | 8300-8302 | demonstrators owned by emd but painted for bn; now with csx |
| 1 | chicago & north western | 55 | 8001-8055 | built to soo line specifications; soo was unable to take delivery due to financial conditions & the order was passed to c&nw |
| 2 | conrail | 25 | 6843-6867 | after the 1999 conrail split; 12 units went to csx and were renumbered csxt 8710-8721, 8790; 15 units went to ns and were renumbered ns 6702-6716 |
| 3 | csx transportation | 10 | 8700-8709 | none |
| 4 | emdx | 4 | 1-4 | demonstrators; emd 1,2,4 to cr 6840-6842; emd 3 leased to bnsf as replacement for emd 9041 (used at dot, pueblo, co) |
| 5 | kansas city southern | 46 | 714-759 | none |
| 6 | norfolk southern | 151 | 6550-6700 | slowly rebuilding their sd60s to sd60es at juniata shops |
| 7 | oakway | 100 | 9000-9099 90 now owned by canadian national 10 still owned by bnsf railway | none |
| 8 | soo line | 58 | 6000-6057 | soo 6000-6020 returned to leaser, capital finance (cit group) former soo 6021-6057/cp 6221-6257 have now been put up for sale |
| 9 | union pacific | 85 | 6000-6084 | renumbered up 2155-2239 (except up 6014, wrecked & scrapped) |
| 10 | canadian national | 64 | 5500-5563 | 5500-5503 are pre-production sd60f's, originally classified as sd50af & built as cn 9900-9903. they look like sd50f's, but internally are sd60f's |
| 11 | conrail | 80 | 5575-5654 | after the 1999 conrail split; 35 units went to csx and were renumbered csxt 8722-8755, 8774; 46 units went to ns and were renumbered ns 6717-6762 |
| 12 | burlington northern | 100 | 1991, 9200-9298 | renumbered bnsf 9200-9299, then renumbered bnsf 8100-8199 in 2007-2008 |
| 13 | conrail | 75 | 5500-5574 | after the 1999 conrail split; 30 units went to csx and were renumbered csxt 8756-8773, 8775 - 8786; 44 units went to ns and were renumbered ns 6763-6806 |
| 14 | soo line | 5 | 6058-6062 | former soo 6058-6062/cp 6258-6262 have now been put up for sale |
| 15 | union pacific | 281 | 6085-6365 | renumbered to 2240-2520 except 6106 & 6165. 24 rebuilt into emd sd32ecos. up classifies these as sd59mxs. renumbered 9900-9923. all 24 have been delivered |
| 16 | carajas railroad (vale) | 2 | 601-602 | manufactured by equipment villares s. a. (evsa) in 1991. last locomotives manufactured by evsa before the merger with ge transportation in brazil, leading to gevisa | | | | qty. |
|---:|-------:|
| 0 | 64 | | [
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] |
select time/retired where team = 'dale coyne racing' col : pos | no | driver | team | laps | time/retired | grid | points row 1 : 1 | 1 | sebastien bourdais | newman/haas racing | 66 | 1:51:31.146 | 2 | 34 row 2 : 2 | 9 | justin wilson | rusport | 66 | +3.528 secs | 1 | 29 row 3 : 3 | 5 | will power | team australia | 66 | +46.536 secs | 4 | 26 row 4 : 4 | 2 | bruno junqueira | newman/haas racing | 66 | +1:04.023 | 3 | 23 row 5 : 5 | 15 | alex tagliani | team australia | 66 | +1:18.033 | 8 | 22 row 6 : 6 | 6 | oriol servia | pkv racing | 66 | +1:28.745 | 7 | 19 row 7 : 7 | 4 | nelson philippe | cte racing - hvm | 66 | +1:29.997 | 10 | 17 row 8 : 8 | 27 | andrew ranger | mi-jack conquest racing | 65 | + 1 lap | 16 | 16 row 9 : 9 | 3 | david martinez | forsythe racing | 65 | + 1 lap | 9 | 13 row 10 : 10 | 7 | buddy rice | forsythe racing | 65 | + 1 lap | 14 | 11 row 11 : 11 | 34 | charles zwolsman | mi-jack conquest racing | 65 | + 1 lap | 12 | 10 row 12 : 12 | 18 | antonio pizzonia | rocketsports racing | 65 | + 1 lap | 15 | 9 row 13 : 13 | 11 | jan heylen | dale coyne racing | 65 | + 1 lap | 17 | 8 row 14 : 14 | 10 | ryan briscoe | rusport | 64 | + 2 laps | 5 | 7 row 15 : 15 | 19 | andreas wirth | dale coyne racing | 64 | + 2 laps | 18 | 6 row 16 : 16 | 20 | katherine legge | pkv racing | 63 | + 3 laps | 13 | 5 row 17 : 17 | 8 | mario dominguez | rocketsports racing | 59 | retired | 11 | 4 row 18 : 18 | 14 | dan clarke | cte racing - hvm | 7 | differential | 6 | 3 | col : time/retired row 1 : + 1 lap row 2 : + 2 laps | select time/retired where team = 'dale coyne racing' <table_name> : table \begin{tabular}{lllllllll}
\toprule
& pos & no & driver & team & laps & time/retired & grid & points \\
\midrule
0 & 1 & 1 & sebastien bourdais & newman/haas racing & 66 & 1:51:31.146 & 2 & 34 \\
1 & 2 & 9 & justin wilson & rusport & 66 & +3.528 secs & 1 & 29 \\
2 & 3 & 5 & will power & team australia & 66 & +46.536 secs & 4 & 26 \\
3 & 4 & 2 & bruno junqueira & newman/haas racing & 66 & +1:04.023 & 3 & 23 \\
4 & 5 & 15 & alex tagliani & team australia & 66 & +1:18.033 & 8 & 22 \\
5 & 6 & 6 & oriol servia & pkv racing & 66 & +1:28.745 & 7 & 19 \\
6 & 7 & 4 & nelson philippe & cte racing - hvm & 66 & +1:29.997 & 10 & 17 \\
7 & 8 & 27 & andrew ranger & mi-jack conquest racing & 65 & + 1 lap & 16 & 16 \\
8 & 9 & 3 & david martinez & forsythe racing & 65 & + 1 lap & 9 & 13 \\
9 & 10 & 7 & buddy rice & forsythe racing & 65 & + 1 lap & 14 & 11 \\
10 & 11 & 34 & charles zwolsman & mi-jack conquest racing & 65 & + 1 lap & 12 & 10 \\
11 & 12 & 18 & antonio pizzonia & rocketsports racing & 65 & + 1 lap & 15 & 9 \\
12 & 13 & 11 & jan heylen & dale coyne racing & 65 & + 1 lap & 17 & 8 \\
13 & 14 & 10 & ryan briscoe & rusport & 64 & + 2 laps & 5 & 7 \\
14 & 15 & 19 & andreas wirth & dale coyne racing & 64 & + 2 laps & 18 & 6 \\
15 & 16 & 20 & katherine legge & pkv racing & 63 & + 3 laps & 13 & 5 \\
16 & 17 & 8 & mario dominguez & rocketsports racing & 59 & retired & 11 & 4 \\
17 & 18 & 14 & dan clarke & cte racing - hvm & 7 & differential & 6 & 3 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& time/retired \\
\midrule
0 & + 1 lap \\
1 & + 2 laps \\
\bottomrule
\end{tabular}
| select time/retired where team = 'dale coyne racing' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>pos</th>
<th>no</th>
<th>driver</th>
<th>team</th>
<th>laps</th>
<th>time/retired</th>
<th>grid</th>
<th>points</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>1</td>
<td>sebastien bourdais</td>
<td>newman/haas racing</td>
<td>66</td>
<td>1:51:31.146</td>
<td>2</td>
<td>34</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>9</td>
<td>justin wilson</td>
<td>rusport</td>
<td>66</td>
<td>+3.528 secs</td>
<td>1</td>
<td>29</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>5</td>
<td>will power</td>
<td>team australia</td>
<td>66</td>
<td>+46.536 secs</td>
<td>4</td>
<td>26</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>2</td>
<td>bruno junqueira</td>
<td>newman/haas racing</td>
<td>66</td>
<td>+1:04.023</td>
<td>3</td>
<td>23</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>15</td>
<td>alex tagliani</td>
<td>team australia</td>
<td>66</td>
<td>+1:18.033</td>
<td>8</td>
<td>22</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>6</td>
<td>oriol servia</td>
<td>pkv racing</td>
<td>66</td>
<td>+1:28.745</td>
<td>7</td>
<td>19</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>4</td>
<td>nelson philippe</td>
<td>cte racing - hvm</td>
<td>66</td>
<td>+1:29.997</td>
<td>10</td>
<td>17</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>27</td>
<td>andrew ranger</td>
<td>mi-jack conquest racing</td>
<td>65</td>
<td>+ 1 lap</td>
<td>16</td>
<td>16</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>3</td>
<td>david martinez</td>
<td>forsythe racing</td>
<td>65</td>
<td>+ 1 lap</td>
<td>9</td>
<td>13</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>7</td>
<td>buddy rice</td>
<td>forsythe racing</td>
<td>65</td>
<td>+ 1 lap</td>
<td>14</td>
<td>11</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>34</td>
<td>charles zwolsman</td>
<td>mi-jack conquest racing</td>
<td>65</td>
<td>+ 1 lap</td>
<td>12</td>
<td>10</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>18</td>
<td>antonio pizzonia</td>
<td>rocketsports racing</td>
<td>65</td>
<td>+ 1 lap</td>
<td>15</td>
<td>9</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>11</td>
<td>jan heylen</td>
<td>dale coyne racing</td>
<td>65</td>
<td>+ 1 lap</td>
<td>17</td>
<td>8</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>10</td>
<td>ryan briscoe</td>
<td>rusport</td>
<td>64</td>
<td>+ 2 laps</td>
<td>5</td>
<td>7</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>19</td>
<td>andreas wirth</td>
<td>dale coyne racing</td>
<td>64</td>
<td>+ 2 laps</td>
<td>18</td>
<td>6</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>20</td>
<td>katherine legge</td>
<td>pkv racing</td>
<td>63</td>
<td>+ 3 laps</td>
<td>13</td>
<td>5</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>8</td>
<td>mario dominguez</td>
<td>rocketsports racing</td>
<td>59</td>
<td>retired</td>
<td>11</td>
<td>4</td>
</tr>
<tr>
<th>17</th>
<td>18</td>
<td>14</td>
<td>dan clarke</td>
<td>cte racing - hvm</td>
<td>7</td>
<td>differential</td>
<td>6</td>
<td>3</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>time/retired</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>+ 1 lap</td>
</tr>
<tr>
<th>1</th>
<td>+ 2 laps</td>
</tr>
</tbody>
</table> | select time/retired where team = 'dale coyne racing' <table_name> : table | | pos | no | driver | team | laps | time/retired | grid | points |
|---:|------:|-----:|:-------------------|:------------------------|-------:|:---------------|-------:|---------:|
| 0 | 1 | 1 | sebastien bourdais | newman/haas racing | 66 | 1:51:31.146 | 2 | 34 |
| 1 | 2 | 9 | justin wilson | rusport | 66 | +3.528 secs | 1 | 29 |
| 2 | 3 | 5 | will power | team australia | 66 | +46.536 secs | 4 | 26 |
| 3 | 4 | 2 | bruno junqueira | newman/haas racing | 66 | +1:04.023 | 3 | 23 |
| 4 | 5 | 15 | alex tagliani | team australia | 66 | +1:18.033 | 8 | 22 |
| 5 | 6 | 6 | oriol servia | pkv racing | 66 | +1:28.745 | 7 | 19 |
| 6 | 7 | 4 | nelson philippe | cte racing - hvm | 66 | +1:29.997 | 10 | 17 |
| 7 | 8 | 27 | andrew ranger | mi-jack conquest racing | 65 | + 1 lap | 16 | 16 |
| 8 | 9 | 3 | david martinez | forsythe racing | 65 | + 1 lap | 9 | 13 |
| 9 | 10 | 7 | buddy rice | forsythe racing | 65 | + 1 lap | 14 | 11 |
| 10 | 11 | 34 | charles zwolsman | mi-jack conquest racing | 65 | + 1 lap | 12 | 10 |
| 11 | 12 | 18 | antonio pizzonia | rocketsports racing | 65 | + 1 lap | 15 | 9 |
| 12 | 13 | 11 | jan heylen | dale coyne racing | 65 | + 1 lap | 17 | 8 |
| 13 | 14 | 10 | ryan briscoe | rusport | 64 | + 2 laps | 5 | 7 |
| 14 | 15 | 19 | andreas wirth | dale coyne racing | 64 | + 2 laps | 18 | 6 |
| 15 | 16 | 20 | katherine legge | pkv racing | 63 | + 3 laps | 13 | 5 |
| 16 | 17 | 8 | mario dominguez | rocketsports racing | 59 | retired | 11 | 4 |
| 17 | 18 | 14 | dan clarke | cte racing - hvm | 7 | differential | 6 | 3 | | | | time/retired |
|---:|:---------------|
| 0 | + 1 lap |
| 1 | + 2 laps | | [
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] |
select count ( * ) where year = 1969 col : year | vidhan sabha | members of legislative assembly | winning party | nearest contesting party row 1 : 1951 | 01st vidhan sabha | shri hari prasad | sop | inc row 2 : 1957 | 02nd vidhan sabha | shri bhihari lal | psp | inc row 3 : 1962 | 03rd vidhan sabha | shri durga prasad | inc | psp row 4 : 1967 | 04th vidhan sabha | shri munendra pal singh | psp | bjs row 5 : 1969 | 05th vidhan sabha | shri tej bhahdur | bkd | bjs row 6 : 1974 | 06th vidhan sabha | shri tej bhahdur | inc | bjs row 7 : 1977 | 07th vidhan sabha | shri munendra pal singh | jnp | inc row 8 : 1980 | 08th vidhan sabha | shri tej bhahdur | inc | jnp row 9 : 1985 | 09th vidhan sabha | shri tej bhahdur | inc | jnp row 10 : 1989 | 10th vidhan sabha | shri harish kumar | jnp | bjp row 11 : 1991 | 11th vidhan sabha | shri ram saran verma | bjp | inc row 12 : 1993 | 12th vidhan sabha | shri ram saran verma | bjp | inc row 13 : 1996 | 13th vidhan sabha | shri anish ahemd khan | bsp | bjp row 14 : 2002 | 14th vidhan sabha | shri anish ahemd khan | bsp | bjp row 15 : 2007 | 15th vidhan sabha | shri anish ahemd khan | bsp | bjp row 16 : 2012 | 16th vidhan sabha | shri ram saran verma | bjp | inc | col : count ( "*" ) row 1 : 1 | select count ( * ) where year = 1969 <table_name> : table \begin{tabular}{llllll}
\toprule
& year & vidhan sabha & members of legislative assembly & winning party & nearest contesting party \\
\midrule
0 & 1951 & 01st vidhan sabha & shri hari prasad & sop & inc \\
1 & 1957 & 02nd vidhan sabha & shri bhihari lal & psp & inc \\
2 & 1962 & 03rd vidhan sabha & shri durga prasad & inc & psp \\
3 & 1967 & 04th vidhan sabha & shri munendra pal singh & psp & bjs \\
4 & 1969 & 05th vidhan sabha & shri tej bhahdur & bkd & bjs \\
5 & 1974 & 06th vidhan sabha & shri tej bhahdur & inc & bjs \\
6 & 1977 & 07th vidhan sabha & shri munendra pal singh & jnp & inc \\
7 & 1980 & 08th vidhan sabha & shri tej bhahdur & inc & jnp \\
8 & 1985 & 09th vidhan sabha & shri tej bhahdur & inc & jnp \\
9 & 1989 & 10th vidhan sabha & shri harish kumar & jnp & bjp \\
10 & 1991 & 11th vidhan sabha & shri ram saran verma & bjp & inc \\
11 & 1993 & 12th vidhan sabha & shri ram saran verma & bjp & inc \\
12 & 1996 & 13th vidhan sabha & shri anish ahemd khan & bsp & bjp \\
13 & 2002 & 14th vidhan sabha & shri anish ahemd khan & bsp & bjp \\
14 & 2007 & 15th vidhan sabha & shri anish ahemd khan & bsp & bjp \\
15 & 2012 & 16th vidhan sabha & shri ram saran verma & bjp & inc \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( * ) where year = 1969 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>vidhan sabha</th>
<th>members of legislative assembly</th>
<th>winning party</th>
<th>nearest contesting party</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1951</td>
<td>01st vidhan sabha</td>
<td>shri hari prasad</td>
<td>sop</td>
<td>inc</td>
</tr>
<tr>
<th>1</th>
<td>1957</td>
<td>02nd vidhan sabha</td>
<td>shri bhihari lal</td>
<td>psp</td>
<td>inc</td>
</tr>
<tr>
<th>2</th>
<td>1962</td>
<td>03rd vidhan sabha</td>
<td>shri durga prasad</td>
<td>inc</td>
<td>psp</td>
</tr>
<tr>
<th>3</th>
<td>1967</td>
<td>04th vidhan sabha</td>
<td>shri munendra pal singh</td>
<td>psp</td>
<td>bjs</td>
</tr>
<tr>
<th>4</th>
<td>1969</td>
<td>05th vidhan sabha</td>
<td>shri tej bhahdur</td>
<td>bkd</td>
<td>bjs</td>
</tr>
<tr>
<th>5</th>
<td>1974</td>
<td>06th vidhan sabha</td>
<td>shri tej bhahdur</td>
<td>inc</td>
<td>bjs</td>
</tr>
<tr>
<th>6</th>
<td>1977</td>
<td>07th vidhan sabha</td>
<td>shri munendra pal singh</td>
<td>jnp</td>
<td>inc</td>
</tr>
<tr>
<th>7</th>
<td>1980</td>
<td>08th vidhan sabha</td>
<td>shri tej bhahdur</td>
<td>inc</td>
<td>jnp</td>
</tr>
<tr>
<th>8</th>
<td>1985</td>
<td>09th vidhan sabha</td>
<td>shri tej bhahdur</td>
<td>inc</td>
<td>jnp</td>
</tr>
<tr>
<th>9</th>
<td>1989</td>
<td>10th vidhan sabha</td>
<td>shri harish kumar</td>
<td>jnp</td>
<td>bjp</td>
</tr>
<tr>
<th>10</th>
<td>1991</td>
<td>11th vidhan sabha</td>
<td>shri ram saran verma</td>
<td>bjp</td>
<td>inc</td>
</tr>
<tr>
<th>11</th>
<td>1993</td>
<td>12th vidhan sabha</td>
<td>shri ram saran verma</td>
<td>bjp</td>
<td>inc</td>
</tr>
<tr>
<th>12</th>
<td>1996</td>
<td>13th vidhan sabha</td>
<td>shri anish ahemd khan</td>
<td>bsp</td>
<td>bjp</td>
</tr>
<tr>
<th>13</th>
<td>2002</td>
<td>14th vidhan sabha</td>
<td>shri anish ahemd khan</td>
<td>bsp</td>
<td>bjp</td>
</tr>
<tr>
<th>14</th>
<td>2007</td>
<td>15th vidhan sabha</td>
<td>shri anish ahemd khan</td>
<td>bsp</td>
<td>bjp</td>
</tr>
<tr>
<th>15</th>
<td>2012</td>
<td>16th vidhan sabha</td>
<td>shri ram saran verma</td>
<td>bjp</td>
<td>inc</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( * ) where year = 1969 <table_name> : table | | year | vidhan sabha | members of legislative assembly | winning party | nearest contesting party |
|---:|-------:|:------------------|:----------------------------------|:----------------|:---------------------------|
| 0 | 1951 | 01st vidhan sabha | shri hari prasad | sop | inc |
| 1 | 1957 | 02nd vidhan sabha | shri bhihari lal | psp | inc |
| 2 | 1962 | 03rd vidhan sabha | shri durga prasad | inc | psp |
| 3 | 1967 | 04th vidhan sabha | shri munendra pal singh | psp | bjs |
| 4 | 1969 | 05th vidhan sabha | shri tej bhahdur | bkd | bjs |
| 5 | 1974 | 06th vidhan sabha | shri tej bhahdur | inc | bjs |
| 6 | 1977 | 07th vidhan sabha | shri munendra pal singh | jnp | inc |
| 7 | 1980 | 08th vidhan sabha | shri tej bhahdur | inc | jnp |
| 8 | 1985 | 09th vidhan sabha | shri tej bhahdur | inc | jnp |
| 9 | 1989 | 10th vidhan sabha | shri harish kumar | jnp | bjp |
| 10 | 1991 | 11th vidhan sabha | shri ram saran verma | bjp | inc |
| 11 | 1993 | 12th vidhan sabha | shri ram saran verma | bjp | inc |
| 12 | 1996 | 13th vidhan sabha | shri anish ahemd khan | bsp | bjp |
| 13 | 2002 | 14th vidhan sabha | shri anish ahemd khan | bsp | bjp |
| 14 | 2007 | 15th vidhan sabha | shri anish ahemd khan | bsp | bjp |
| 15 | 2012 | 16th vidhan sabha | shri ram saran verma | bjp | inc | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 1 | | [
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] |
select count ( 2.15 ) where notes = 'q' col : rank | group | name | nationality | 2.05 | 2.15 | 2.19 | 2.23 | 2.26 | result | notes row 1 : 1 | a | nicola ciotti | italy | none | o | o | o | o | 2.26 | q row 2 : 1 | a | linus thornblad | sweden | none | o | o | o | o | 2.26 | q row 3 : 1 | a | tomas janku | czech republic | none | o | o | o | o | 2.26 | q row 4 : 1 | b | oskari frosen | finland | none | o | o | o | o | 2.26 | q row 5 : 1 | b | stefan holm | sweden | none | o | o | o | o | 2.26 | q row 6 : 1 | b | svatoslav ton | czech republic | none | o | o | o | o | 2.26 | q row 7 : 7 | a | niki palli | israel | o | o | o | o | xo | 2.26 | q row 8 : 7 | b | yaroslav rybakov | russia | none | o | o | o | xo | 2.26 | q row 9 : 9 | b | giulio ciotti | italy | none | o | xo | o | xo | 2.26 | q row 10 : 10 | a | andrey silnov | russia | none | o | o | o | xxo | 2.26 | q row 11 : 11 | a | ivan ukhov | russia | none | none | none | o | none | 2.23 | q row 12 : 11 | a | andrea bettinelli | italy | none | o | o | o | xxx | 2.23 | q row 13 : 11 | b | wilbert pennings | netherlands | none | o | o | o | xxx | 2.23 | q row 14 : 14 | a | martyn bernard | united kingdom | none | o | xxo | xo | xxx | 2.23 | none row 15 : 15 | b | peter horak | slovakia | none | o | o | xxo | xxx | 2.23 | none row 16 : 15 | b | normunds pupols | latvia | none | o | o | xxo | xxx | 2.23 | none row 17 : 17 | a | germaine mason | united kingdom | none | o | o | xxx | none | 2.19 | none row 18 : 17 | b | rozle prezelj | slovenia | o | o | o | xxx | none | 2.19 | none row 19 : 19 | a | heikki taneli | finland | none | xo | o | xxx | none | 2.19 | none row 20 : 19 | b | andriy sokolovskyy | ukraine | none | xo | o | xxx | none | 2.19 | none row 21 : 21 | b | mickael hanany | france | none | xo | xo | xxx | none | 2.19 | none row 22 : 22 | b | javier bermejo | spain | o | o | xxx | none | none | 2.15 | none row 23 : 23 | a | osku torro | finland | none | xo | x- | x | none | 2.15 | none row 24 : 24 | a | jan-peter larsen | netherlands | o | xxx | none | none | none | 2.05 | none row 25 : none | b | adam scarr | united kingdom | none | xxx | none | none | none | nm | none | col : count ( "2.15" ) row 1 : 13 | select count ( 2.15 ) where notes = 'q' <table_name> : table \begin{tabular}{llllllllllll}
\toprule
& rank & group & name & nationality & 2.05 & 2.15 & 2.19 & 2.23 & 2.26 & result & notes \\
\midrule
0 & 1 & a & nicola ciotti & italy & none & o & o & o & o & 2.26 & q \\
1 & 1 & a & linus thornblad & sweden & none & o & o & o & o & 2.26 & q \\
2 & 1 & a & tomas janku & czech republic & none & o & o & o & o & 2.26 & q \\
3 & 1 & b & oskari frosen & finland & none & o & o & o & o & 2.26 & q \\
4 & 1 & b & stefan holm & sweden & none & o & o & o & o & 2.26 & q \\
5 & 1 & b & svatoslav ton & czech republic & none & o & o & o & o & 2.26 & q \\
6 & 7 & a & niki palli & israel & o & o & o & o & xo & 2.26 & q \\
7 & 7 & b & yaroslav rybakov & russia & none & o & o & o & xo & 2.26 & q \\
8 & 9 & b & giulio ciotti & italy & none & o & xo & o & xo & 2.26 & q \\
9 & 10 & a & andrey silnov & russia & none & o & o & o & xxo & 2.26 & q \\
10 & 11 & a & ivan ukhov & russia & none & none & none & o & none & 2.23 & q \\
11 & 11 & a & andrea bettinelli & italy & none & o & o & o & xxx & 2.23 & q \\
12 & 11 & b & wilbert pennings & netherlands & none & o & o & o & xxx & 2.23 & q \\
13 & 14 & a & martyn bernard & united kingdom & none & o & xxo & xo & xxx & 2.23 & none \\
14 & 15 & b & peter horak & slovakia & none & o & o & xxo & xxx & 2.23 & none \\
15 & 15 & b & normunds pupols & latvia & none & o & o & xxo & xxx & 2.23 & none \\
16 & 17 & a & germaine mason & united kingdom & none & o & o & xxx & none & 2.19 & none \\
17 & 17 & b & rozle prezelj & slovenia & o & o & o & xxx & none & 2.19 & none \\
18 & 19 & a & heikki taneli & finland & none & xo & o & xxx & none & 2.19 & none \\
19 & 19 & b & andriy sokolovskyy & ukraine & none & xo & o & xxx & none & 2.19 & none \\
20 & 21 & b & mickael hanany & france & none & xo & xo & xxx & none & 2.19 & none \\
21 & 22 & b & javier bermejo & spain & o & o & xxx & none & none & 2.15 & none \\
22 & 23 & a & osku torro & finland & none & xo & x- & x & none & 2.15 & none \\
23 & 24 & a & jan-peter larsen & netherlands & o & xxx & none & none & none & 2.05 & none \\
24 & none & b & adam scarr & united kingdom & none & xxx & none & none & none & nm & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "2.15" ) \\
\midrule
0 & 13 \\
\bottomrule
\end{tabular}
| select count ( 2.15 ) where notes = 'q' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>group</th>
<th>name</th>
<th>nationality</th>
<th>2.05</th>
<th>2.15</th>
<th>2.19</th>
<th>2.23</th>
<th>2.26</th>
<th>result</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>a</td>
<td>nicola ciotti</td>
<td>italy</td>
<td>none</td>
<td>o</td>
<td>o</td>
<td>o</td>
<td>o</td>
<td>2.26</td>
<td>q</td>
</tr>
<tr>
<th>1</th>
<td>1</td>
<td>a</td>
<td>linus thornblad</td>
<td>sweden</td>
<td>none</td>
<td>o</td>
<td>o</td>
<td>o</td>
<td>o</td>
<td>2.26</td>
<td>q</td>
</tr>
<tr>
<th>2</th>
<td>1</td>
<td>a</td>
<td>tomas janku</td>
<td>czech republic</td>
<td>none</td>
<td>o</td>
<td>o</td>
<td>o</td>
<td>o</td>
<td>2.26</td>
<td>q</td>
</tr>
<tr>
<th>3</th>
<td>1</td>
<td>b</td>
<td>oskari frosen</td>
<td>finland</td>
<td>none</td>
<td>o</td>
<td>o</td>
<td>o</td>
<td>o</td>
<td>2.26</td>
<td>q</td>
</tr>
<tr>
<th>4</th>
<td>1</td>
<td>b</td>
<td>stefan holm</td>
<td>sweden</td>
<td>none</td>
<td>o</td>
<td>o</td>
<td>o</td>
<td>o</td>
<td>2.26</td>
<td>q</td>
</tr>
<tr>
<th>5</th>
<td>1</td>
<td>b</td>
<td>svatoslav ton</td>
<td>czech republic</td>
<td>none</td>
<td>o</td>
<td>o</td>
<td>o</td>
<td>o</td>
<td>2.26</td>
<td>q</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>a</td>
<td>niki palli</td>
<td>israel</td>
<td>o</td>
<td>o</td>
<td>o</td>
<td>o</td>
<td>xo</td>
<td>2.26</td>
<td>q</td>
</tr>
<tr>
<th>7</th>
<td>7</td>
<td>b</td>
<td>yaroslav rybakov</td>
<td>russia</td>
<td>none</td>
<td>o</td>
<td>o</td>
<td>o</td>
<td>xo</td>
<td>2.26</td>
<td>q</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>b</td>
<td>giulio ciotti</td>
<td>italy</td>
<td>none</td>
<td>o</td>
<td>xo</td>
<td>o</td>
<td>xo</td>
<td>2.26</td>
<td>q</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>a</td>
<td>andrey silnov</td>
<td>russia</td>
<td>none</td>
<td>o</td>
<td>o</td>
<td>o</td>
<td>xxo</td>
<td>2.26</td>
<td>q</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>a</td>
<td>ivan ukhov</td>
<td>russia</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>o</td>
<td>none</td>
<td>2.23</td>
<td>q</td>
</tr>
<tr>
<th>11</th>
<td>11</td>
<td>a</td>
<td>andrea bettinelli</td>
<td>italy</td>
<td>none</td>
<td>o</td>
<td>o</td>
<td>o</td>
<td>xxx</td>
<td>2.23</td>
<td>q</td>
</tr>
<tr>
<th>12</th>
<td>11</td>
<td>b</td>
<td>wilbert pennings</td>
<td>netherlands</td>
<td>none</td>
<td>o</td>
<td>o</td>
<td>o</td>
<td>xxx</td>
<td>2.23</td>
<td>q</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>a</td>
<td>martyn bernard</td>
<td>united kingdom</td>
<td>none</td>
<td>o</td>
<td>xxo</td>
<td>xo</td>
<td>xxx</td>
<td>2.23</td>
<td>none</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>b</td>
<td>peter horak</td>
<td>slovakia</td>
<td>none</td>
<td>o</td>
<td>o</td>
<td>xxo</td>
<td>xxx</td>
<td>2.23</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>15</td>
<td>b</td>
<td>normunds pupols</td>
<td>latvia</td>
<td>none</td>
<td>o</td>
<td>o</td>
<td>xxo</td>
<td>xxx</td>
<td>2.23</td>
<td>none</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>a</td>
<td>germaine mason</td>
<td>united kingdom</td>
<td>none</td>
<td>o</td>
<td>o</td>
<td>xxx</td>
<td>none</td>
<td>2.19</td>
<td>none</td>
</tr>
<tr>
<th>17</th>
<td>17</td>
<td>b</td>
<td>rozle prezelj</td>
<td>slovenia</td>
<td>o</td>
<td>o</td>
<td>o</td>
<td>xxx</td>
<td>none</td>
<td>2.19</td>
<td>none</td>
</tr>
<tr>
<th>18</th>
<td>19</td>
<td>a</td>
<td>heikki taneli</td>
<td>finland</td>
<td>none</td>
<td>xo</td>
<td>o</td>
<td>xxx</td>
<td>none</td>
<td>2.19</td>
<td>none</td>
</tr>
<tr>
<th>19</th>
<td>19</td>
<td>b</td>
<td>andriy sokolovskyy</td>
<td>ukraine</td>
<td>none</td>
<td>xo</td>
<td>o</td>
<td>xxx</td>
<td>none</td>
<td>2.19</td>
<td>none</td>
</tr>
<tr>
<th>20</th>
<td>21</td>
<td>b</td>
<td>mickael hanany</td>
<td>france</td>
<td>none</td>
<td>xo</td>
<td>xo</td>
<td>xxx</td>
<td>none</td>
<td>2.19</td>
<td>none</td>
</tr>
<tr>
<th>21</th>
<td>22</td>
<td>b</td>
<td>javier bermejo</td>
<td>spain</td>
<td>o</td>
<td>o</td>
<td>xxx</td>
<td>none</td>
<td>none</td>
<td>2.15</td>
<td>none</td>
</tr>
<tr>
<th>22</th>
<td>23</td>
<td>a</td>
<td>osku torro</td>
<td>finland</td>
<td>none</td>
<td>xo</td>
<td>x-</td>
<td>x</td>
<td>none</td>
<td>2.15</td>
<td>none</td>
</tr>
<tr>
<th>23</th>
<td>24</td>
<td>a</td>
<td>jan-peter larsen</td>
<td>netherlands</td>
<td>o</td>
<td>xxx</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>2.05</td>
<td>none</td>
</tr>
<tr>
<th>24</th>
<td>none</td>
<td>b</td>
<td>adam scarr</td>
<td>united kingdom</td>
<td>none</td>
<td>xxx</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>nm</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "2.15" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>13</td>
</tr>
</tbody>
</table> | select count ( 2.15 ) where notes = 'q' <table_name> : table | | rank | group | name | nationality | 2.05 | 2.15 | 2.19 | 2.23 | 2.26 | result | notes |
|---:|:-------|:--------|:-------------------|:---------------|:-------|:-------|:-------|:-------|:-------|:---------|:--------|
| 0 | 1 | a | nicola ciotti | italy | none | o | o | o | o | 2.26 | q |
| 1 | 1 | a | linus thornblad | sweden | none | o | o | o | o | 2.26 | q |
| 2 | 1 | a | tomas janku | czech republic | none | o | o | o | o | 2.26 | q |
| 3 | 1 | b | oskari frosen | finland | none | o | o | o | o | 2.26 | q |
| 4 | 1 | b | stefan holm | sweden | none | o | o | o | o | 2.26 | q |
| 5 | 1 | b | svatoslav ton | czech republic | none | o | o | o | o | 2.26 | q |
| 6 | 7 | a | niki palli | israel | o | o | o | o | xo | 2.26 | q |
| 7 | 7 | b | yaroslav rybakov | russia | none | o | o | o | xo | 2.26 | q |
| 8 | 9 | b | giulio ciotti | italy | none | o | xo | o | xo | 2.26 | q |
| 9 | 10 | a | andrey silnov | russia | none | o | o | o | xxo | 2.26 | q |
| 10 | 11 | a | ivan ukhov | russia | none | none | none | o | none | 2.23 | q |
| 11 | 11 | a | andrea bettinelli | italy | none | o | o | o | xxx | 2.23 | q |
| 12 | 11 | b | wilbert pennings | netherlands | none | o | o | o | xxx | 2.23 | q |
| 13 | 14 | a | martyn bernard | united kingdom | none | o | xxo | xo | xxx | 2.23 | none |
| 14 | 15 | b | peter horak | slovakia | none | o | o | xxo | xxx | 2.23 | none |
| 15 | 15 | b | normunds pupols | latvia | none | o | o | xxo | xxx | 2.23 | none |
| 16 | 17 | a | germaine mason | united kingdom | none | o | o | xxx | none | 2.19 | none |
| 17 | 17 | b | rozle prezelj | slovenia | o | o | o | xxx | none | 2.19 | none |
| 18 | 19 | a | heikki taneli | finland | none | xo | o | xxx | none | 2.19 | none |
| 19 | 19 | b | andriy sokolovskyy | ukraine | none | xo | o | xxx | none | 2.19 | none |
| 20 | 21 | b | mickael hanany | france | none | xo | xo | xxx | none | 2.19 | none |
| 21 | 22 | b | javier bermejo | spain | o | o | xxx | none | none | 2.15 | none |
| 22 | 23 | a | osku torro | finland | none | xo | x- | x | none | 2.15 | none |
| 23 | 24 | a | jan-peter larsen | netherlands | o | xxx | none | none | none | 2.05 | none |
| 24 | none | b | adam scarr | united kingdom | none | xxx | none | none | none | nm | none | | | | count ( "2.15" ) |
|---:|-------------------:|
| 0 | 13 | | [
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select album where album = 'gnv fla' and single < 918 col : year | single | peak chart positions us mod | peak chart positions uk | album row 1 : 1997 | "automatic" | none | none | losing streak row 2 : 1997 | "dopeman" | none | none | losing streak row 3 : 1997 | "dopeman" (remix) | none | none | non-album single row 4 : 1997 | "howie j. reynolds" | none | none | non-album single row 5 : 1998 | "history of a boring town" | 39 | none | hello rockview row 6 : 2000 | "all my best friends are metalheads" | none | 51 | hello rockview row 7 : 2000 | "all my best friends are metalheads" (remix) | none | none | non-album single row 8 : 2001 | "gainesville rock city" | none | 57 | borders & boundaries row 9 : 2003 | "she's gonna break soon" | none | 39 | anthem row 10 : 2003 | "the science of selling yourself short" | 36 | 78 | anthem row 11 : 2003 | "surrender" | none | none | anthem row 12 : 2006 | "overrated (everything is)" | none | 61 | in with the out crowd row 13 : 2006 | "the rest of my life" | none | 77 | in with the out crowd row 14 : 2008 | "does the lion city still roar?" | none | none | gnv fla row 15 : 2008 | "abandon ship" | none | none | gnv fla | col : album row 1 : gnv fla row 2 : gnv fla | select album where album = 'gnv fla' and single < 918 <table_name> : table \begin{tabular}{llllll}
\toprule
& year & single & peak chart positions us mod & peak chart positions uk & album \\
\midrule
0 & 1997 & "automatic" & none & none & losing streak \\
1 & 1997 & "dopeman" & none & none & losing streak \\
2 & 1997 & "dopeman" (remix) & none & none & non-album single \\
3 & 1997 & "howie j. reynolds" & none & none & non-album single \\
4 & 1998 & "history of a boring town" & 39 & none & hello rockview \\
5 & 2000 & "all my best friends are metalheads" & none & 51 & hello rockview \\
6 & 2000 & "all my best friends are metalheads" (remix) & none & none & non-album single \\
7 & 2001 & "gainesville rock city" & none & 57 & borders & boundaries \\
8 & 2003 & "she's gonna break soon" & none & 39 & anthem \\
9 & 2003 & "the science of selling yourself short" & 36 & 78 & anthem \\
10 & 2003 & "surrender" & none & none & anthem \\
11 & 2006 & "overrated (everything is)" & none & 61 & in with the out crowd \\
12 & 2006 & "the rest of my life" & none & 77 & in with the out crowd \\
13 & 2008 & "does the lion city still roar?" & none & none & gnv fla \\
14 & 2008 & "abandon ship" & none & none & gnv fla \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& album \\
\midrule
0 & gnv fla \\
1 & gnv fla \\
\bottomrule
\end{tabular}
| select album where album = 'gnv fla' and single < 918 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>single</th>
<th>peak chart positions us mod</th>
<th>peak chart positions uk</th>
<th>album</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1997</td>
<td>"automatic"</td>
<td>none</td>
<td>none</td>
<td>losing streak</td>
</tr>
<tr>
<th>1</th>
<td>1997</td>
<td>"dopeman"</td>
<td>none</td>
<td>none</td>
<td>losing streak</td>
</tr>
<tr>
<th>2</th>
<td>1997</td>
<td>"dopeman" (remix)</td>
<td>none</td>
<td>none</td>
<td>non-album single</td>
</tr>
<tr>
<th>3</th>
<td>1997</td>
<td>"howie j. reynolds"</td>
<td>none</td>
<td>none</td>
<td>non-album single</td>
</tr>
<tr>
<th>4</th>
<td>1998</td>
<td>"history of a boring town"</td>
<td>39</td>
<td>none</td>
<td>hello rockview</td>
</tr>
<tr>
<th>5</th>
<td>2000</td>
<td>"all my best friends are metalheads"</td>
<td>none</td>
<td>51</td>
<td>hello rockview</td>
</tr>
<tr>
<th>6</th>
<td>2000</td>
<td>"all my best friends are metalheads" (remix)</td>
<td>none</td>
<td>none</td>
<td>non-album single</td>
</tr>
<tr>
<th>7</th>
<td>2001</td>
<td>"gainesville rock city"</td>
<td>none</td>
<td>57</td>
<td>borders & boundaries</td>
</tr>
<tr>
<th>8</th>
<td>2003</td>
<td>"she's gonna break soon"</td>
<td>none</td>
<td>39</td>
<td>anthem</td>
</tr>
<tr>
<th>9</th>
<td>2003</td>
<td>"the science of selling yourself short"</td>
<td>36</td>
<td>78</td>
<td>anthem</td>
</tr>
<tr>
<th>10</th>
<td>2003</td>
<td>"surrender"</td>
<td>none</td>
<td>none</td>
<td>anthem</td>
</tr>
<tr>
<th>11</th>
<td>2006</td>
<td>"overrated (everything is)"</td>
<td>none</td>
<td>61</td>
<td>in with the out crowd</td>
</tr>
<tr>
<th>12</th>
<td>2006</td>
<td>"the rest of my life"</td>
<td>none</td>
<td>77</td>
<td>in with the out crowd</td>
</tr>
<tr>
<th>13</th>
<td>2008</td>
<td>"does the lion city still roar?"</td>
<td>none</td>
<td>none</td>
<td>gnv fla</td>
</tr>
<tr>
<th>14</th>
<td>2008</td>
<td>"abandon ship"</td>
<td>none</td>
<td>none</td>
<td>gnv fla</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>album</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>gnv fla</td>
</tr>
<tr>
<th>1</th>
<td>gnv fla</td>
</tr>
</tbody>
</table> | select album where album = 'gnv fla' and single < 918 <table_name> : table | | year | single | peak chart positions us mod | peak chart positions uk | album |
|---:|-------:|:---------------------------------------------|:------------------------------|:--------------------------|:----------------------|
| 0 | 1997 | "automatic" | none | none | losing streak |
| 1 | 1997 | "dopeman" | none | none | losing streak |
| 2 | 1997 | "dopeman" (remix) | none | none | non-album single |
| 3 | 1997 | "howie j. reynolds" | none | none | non-album single |
| 4 | 1998 | "history of a boring town" | 39 | none | hello rockview |
| 5 | 2000 | "all my best friends are metalheads" | none | 51 | hello rockview |
| 6 | 2000 | "all my best friends are metalheads" (remix) | none | none | non-album single |
| 7 | 2001 | "gainesville rock city" | none | 57 | borders & boundaries |
| 8 | 2003 | "she's gonna break soon" | none | 39 | anthem |
| 9 | 2003 | "the science of selling yourself short" | 36 | 78 | anthem |
| 10 | 2003 | "surrender" | none | none | anthem |
| 11 | 2006 | "overrated (everything is)" | none | 61 | in with the out crowd |
| 12 | 2006 | "the rest of my life" | none | 77 | in with the out crowd |
| 13 | 2008 | "does the lion city still roar?" | none | none | gnv fla |
| 14 | 2008 | "abandon ship" | none | none | gnv fla | | | | album |
|---:|:--------|
| 0 | gnv fla |
| 1 | gnv fla | | [
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select min ( frequency ) where frequency > 10 col : call sign | frequency | city of license | licensee | format row 1 : kmsa | 91.3 fm | grand junction | colorado mesa university | aaa row 2 : kmgj | 93.1 fm | grand junction | mbc grand broadcasting, inc | top 40 (chr)/contemporary hit radio row 3 : kkvt | 100.7 fm | grand junction | mbc grand broadcasting, inc | country row 4 : klfv | 90.3 fm | grand junction | educational media foundation | christian contemporary row 5 : kmoz-fm | 92.3 fm | grand junction | mbc grand broadcasting, inc | adult hits row 6 : kgjn-lp | 106.7 fm | grand junction | colorado, state of, telecom servs | news talk information row 7 : kjol | 620 am | grand junction | united ministries | christian contemporary row 8 : kcic | 88.5 fm | grand junction | pear park baptist schools | religious row 9 : kbkl | 107.9 fm | grand junction | townsquare media group | oldies row 10 : kafm | 88.1 fm | grand junction | grand valley public radio co, inc | variety row 11 : kexo | 1230 am | grand junction | townsquare media group | regional mexican/talk row 12 : knzz | 1100 am | grand junction | mbc grand broadcasting, inc | news/talk row 13 : kmxy | 104.3 fm | grand junction | townsquare media group | hot adult contemporary row 14 : kprn | 89.5 fm | grand junction | public broadcasting of colorado, inc | public/news/talk row 15 : ktmm | 1340 am | grand junction | mbc grand broadcasting, inc | sports/talk row 16 : kaai | 98.5 fm | palisade, colorado | educational media foundation | christian rock row 17 : kmzk (fm) | 106.9 fm | clifton | charles d. hall | none row 18 : kekb | 99.9 fm | fruita | townsquare media group | country row 19 : krzx | 106.1 fm | redlands | cochise media licenses llc | none row 20 : kzks | 105.3 fm | rifle, colorado | western slope communications | classic hits row 21 : knoz | 97.7 fm | orchard mesa | paul varecha | all-news radio row 22 : ktun | 93.5 fm | new castle, colorado | wildcat communications | spanish hits row 23 : kknn | 95.1 fm | delta, colorado | townsquare media group | active rock row 24 : kstr-fm | 96.1 fm | montrose, colorado | mbc grand broadcasting | classic rock row 25 : kubc | 580 am | montrose, colorado | cherry creek radio | news/talk | col : min ( "frequency" ) row 1 : 100.7 fm | select min ( frequency ) where frequency > 10 <table_name> : table \begin{tabular}{llllll}
\toprule
& call sign & frequency & city of license & licensee & format \\
\midrule
0 & kmsa & 91.3 fm & grand junction & colorado mesa university & aaa \\
1 & kmgj & 93.1 fm & grand junction & mbc grand broadcasting, inc & top 40 (chr)/contemporary hit radio \\
2 & kkvt & 100.7 fm & grand junction & mbc grand broadcasting, inc & country \\
3 & klfv & 90.3 fm & grand junction & educational media foundation & christian contemporary \\
4 & kmoz-fm & 92.3 fm & grand junction & mbc grand broadcasting, inc & adult hits \\
5 & kgjn-lp & 106.7 fm & grand junction & colorado, state of, telecom servs & news talk information \\
6 & kjol & 620 am & grand junction & united ministries & christian contemporary \\
7 & kcic & 88.5 fm & grand junction & pear park baptist schools & religious \\
8 & kbkl & 107.9 fm & grand junction & townsquare media group & oldies \\
9 & kafm & 88.1 fm & grand junction & grand valley public radio co, inc & variety \\
10 & kexo & 1230 am & grand junction & townsquare media group & regional mexican/talk \\
11 & knzz & 1100 am & grand junction & mbc grand broadcasting, inc & news/talk \\
12 & kmxy & 104.3 fm & grand junction & townsquare media group & hot adult contemporary \\
13 & kprn & 89.5 fm & grand junction & public broadcasting of colorado, inc & public/news/talk \\
14 & ktmm & 1340 am & grand junction & mbc grand broadcasting, inc & sports/talk \\
15 & kaai & 98.5 fm & palisade, colorado & educational media foundation & christian rock \\
16 & kmzk (fm) & 106.9 fm & clifton & charles d. hall & none \\
17 & kekb & 99.9 fm & fruita & townsquare media group & country \\
18 & krzx & 106.1 fm & redlands & cochise media licenses llc & none \\
19 & kzks & 105.3 fm & rifle, colorado & western slope communications & classic hits \\
20 & knoz & 97.7 fm & orchard mesa & paul varecha & all-news radio \\
21 & ktun & 93.5 fm & new castle, colorado & wildcat communications & spanish hits \\
22 & kknn & 95.1 fm & delta, colorado & townsquare media group & active rock \\
23 & kstr-fm & 96.1 fm & montrose, colorado & mbc grand broadcasting & classic rock \\
24 & kubc & 580 am & montrose, colorado & cherry creek radio & news/talk \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& min ( "frequency" ) \\
\midrule
0 & 100.7 fm \\
\bottomrule
\end{tabular}
| select min ( frequency ) where frequency > 10 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>call sign</th>
<th>frequency</th>
<th>city of license</th>
<th>licensee</th>
<th>format</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>kmsa</td>
<td>91.3 fm</td>
<td>grand junction</td>
<td>colorado mesa university</td>
<td>aaa</td>
</tr>
<tr>
<th>1</th>
<td>kmgj</td>
<td>93.1 fm</td>
<td>grand junction</td>
<td>mbc grand broadcasting, inc</td>
<td>top 40 (chr)/contemporary hit radio</td>
</tr>
<tr>
<th>2</th>
<td>kkvt</td>
<td>100.7 fm</td>
<td>grand junction</td>
<td>mbc grand broadcasting, inc</td>
<td>country</td>
</tr>
<tr>
<th>3</th>
<td>klfv</td>
<td>90.3 fm</td>
<td>grand junction</td>
<td>educational media foundation</td>
<td>christian contemporary</td>
</tr>
<tr>
<th>4</th>
<td>kmoz-fm</td>
<td>92.3 fm</td>
<td>grand junction</td>
<td>mbc grand broadcasting, inc</td>
<td>adult hits</td>
</tr>
<tr>
<th>5</th>
<td>kgjn-lp</td>
<td>106.7 fm</td>
<td>grand junction</td>
<td>colorado, state of, telecom servs</td>
<td>news talk information</td>
</tr>
<tr>
<th>6</th>
<td>kjol</td>
<td>620 am</td>
<td>grand junction</td>
<td>united ministries</td>
<td>christian contemporary</td>
</tr>
<tr>
<th>7</th>
<td>kcic</td>
<td>88.5 fm</td>
<td>grand junction</td>
<td>pear park baptist schools</td>
<td>religious</td>
</tr>
<tr>
<th>8</th>
<td>kbkl</td>
<td>107.9 fm</td>
<td>grand junction</td>
<td>townsquare media group</td>
<td>oldies</td>
</tr>
<tr>
<th>9</th>
<td>kafm</td>
<td>88.1 fm</td>
<td>grand junction</td>
<td>grand valley public radio co, inc</td>
<td>variety</td>
</tr>
<tr>
<th>10</th>
<td>kexo</td>
<td>1230 am</td>
<td>grand junction</td>
<td>townsquare media group</td>
<td>regional mexican/talk</td>
</tr>
<tr>
<th>11</th>
<td>knzz</td>
<td>1100 am</td>
<td>grand junction</td>
<td>mbc grand broadcasting, inc</td>
<td>news/talk</td>
</tr>
<tr>
<th>12</th>
<td>kmxy</td>
<td>104.3 fm</td>
<td>grand junction</td>
<td>townsquare media group</td>
<td>hot adult contemporary</td>
</tr>
<tr>
<th>13</th>
<td>kprn</td>
<td>89.5 fm</td>
<td>grand junction</td>
<td>public broadcasting of colorado, inc</td>
<td>public/news/talk</td>
</tr>
<tr>
<th>14</th>
<td>ktmm</td>
<td>1340 am</td>
<td>grand junction</td>
<td>mbc grand broadcasting, inc</td>
<td>sports/talk</td>
</tr>
<tr>
<th>15</th>
<td>kaai</td>
<td>98.5 fm</td>
<td>palisade, colorado</td>
<td>educational media foundation</td>
<td>christian rock</td>
</tr>
<tr>
<th>16</th>
<td>kmzk (fm)</td>
<td>106.9 fm</td>
<td>clifton</td>
<td>charles d. hall</td>
<td>none</td>
</tr>
<tr>
<th>17</th>
<td>kekb</td>
<td>99.9 fm</td>
<td>fruita</td>
<td>townsquare media group</td>
<td>country</td>
</tr>
<tr>
<th>18</th>
<td>krzx</td>
<td>106.1 fm</td>
<td>redlands</td>
<td>cochise media licenses llc</td>
<td>none</td>
</tr>
<tr>
<th>19</th>
<td>kzks</td>
<td>105.3 fm</td>
<td>rifle, colorado</td>
<td>western slope communications</td>
<td>classic hits</td>
</tr>
<tr>
<th>20</th>
<td>knoz</td>
<td>97.7 fm</td>
<td>orchard mesa</td>
<td>paul varecha</td>
<td>all-news radio</td>
</tr>
<tr>
<th>21</th>
<td>ktun</td>
<td>93.5 fm</td>
<td>new castle, colorado</td>
<td>wildcat communications</td>
<td>spanish hits</td>
</tr>
<tr>
<th>22</th>
<td>kknn</td>
<td>95.1 fm</td>
<td>delta, colorado</td>
<td>townsquare media group</td>
<td>active rock</td>
</tr>
<tr>
<th>23</th>
<td>kstr-fm</td>
<td>96.1 fm</td>
<td>montrose, colorado</td>
<td>mbc grand broadcasting</td>
<td>classic rock</td>
</tr>
<tr>
<th>24</th>
<td>kubc</td>
<td>580 am</td>
<td>montrose, colorado</td>
<td>cherry creek radio</td>
<td>news/talk</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>min ( "frequency" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>100.7 fm</td>
</tr>
</tbody>
</table> | select min ( frequency ) where frequency > 10 <table_name> : table | | call sign | frequency | city of license | licensee | format |
|---:|:------------|:------------|:---------------------|:-------------------------------------|:------------------------------------|
| 0 | kmsa | 91.3 fm | grand junction | colorado mesa university | aaa |
| 1 | kmgj | 93.1 fm | grand junction | mbc grand broadcasting, inc | top 40 (chr)/contemporary hit radio |
| 2 | kkvt | 100.7 fm | grand junction | mbc grand broadcasting, inc | country |
| 3 | klfv | 90.3 fm | grand junction | educational media foundation | christian contemporary |
| 4 | kmoz-fm | 92.3 fm | grand junction | mbc grand broadcasting, inc | adult hits |
| 5 | kgjn-lp | 106.7 fm | grand junction | colorado, state of, telecom servs | news talk information |
| 6 | kjol | 620 am | grand junction | united ministries | christian contemporary |
| 7 | kcic | 88.5 fm | grand junction | pear park baptist schools | religious |
| 8 | kbkl | 107.9 fm | grand junction | townsquare media group | oldies |
| 9 | kafm | 88.1 fm | grand junction | grand valley public radio co, inc | variety |
| 10 | kexo | 1230 am | grand junction | townsquare media group | regional mexican/talk |
| 11 | knzz | 1100 am | grand junction | mbc grand broadcasting, inc | news/talk |
| 12 | kmxy | 104.3 fm | grand junction | townsquare media group | hot adult contemporary |
| 13 | kprn | 89.5 fm | grand junction | public broadcasting of colorado, inc | public/news/talk |
| 14 | ktmm | 1340 am | grand junction | mbc grand broadcasting, inc | sports/talk |
| 15 | kaai | 98.5 fm | palisade, colorado | educational media foundation | christian rock |
| 16 | kmzk (fm) | 106.9 fm | clifton | charles d. hall | none |
| 17 | kekb | 99.9 fm | fruita | townsquare media group | country |
| 18 | krzx | 106.1 fm | redlands | cochise media licenses llc | none |
| 19 | kzks | 105.3 fm | rifle, colorado | western slope communications | classic hits |
| 20 | knoz | 97.7 fm | orchard mesa | paul varecha | all-news radio |
| 21 | ktun | 93.5 fm | new castle, colorado | wildcat communications | spanish hits |
| 22 | kknn | 95.1 fm | delta, colorado | townsquare media group | active rock |
| 23 | kstr-fm | 96.1 fm | montrose, colorado | mbc grand broadcasting | classic rock |
| 24 | kubc | 580 am | montrose, colorado | cherry creek radio | news/talk | | | | min ( "frequency" ) |
|---:|:----------------------|
| 0 | 100.7 fm | | [
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select count ( position ) where venue = 'dakar, senegal' col : year | competition | venue | position | notes row 1 : 1994 | commonwealth games | victoria, canada | 6th | 400 m h row 2 : 1995 | world championships | gothenburg, sweden | 6th | 400 m h row 3 : 1997 | world championships | athens, greece | 7th | 4x400 m relay row 4 : 1998 | commonwealth games | kuala lumpur, malaysia | 3rd | 400 m h row 5 : 1998 | african championships | dakar, senegal | 2nd | 400 m h row 6 : 1999 | all-africa games | johannesburg, south africa | 2nd | 400 m h | col : count ( "position" ) row 1 : 1 | select count ( position ) where venue = 'dakar, senegal' <table_name> : table \begin{tabular}{llllll}
\toprule
& year & competition & venue & position & notes \\
\midrule
0 & 1994 & commonwealth games & victoria, canada & 6th & 400 m h \\
1 & 1995 & world championships & gothenburg, sweden & 6th & 400 m h \\
2 & 1997 & world championships & athens, greece & 7th & 4x400 m relay \\
3 & 1998 & commonwealth games & kuala lumpur, malaysia & 3rd & 400 m h \\
4 & 1998 & african championships & dakar, senegal & 2nd & 400 m h \\
5 & 1999 & all-africa games & johannesburg, south africa & 2nd & 400 m h \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "position" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( position ) where venue = 'dakar, senegal' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>competition</th>
<th>venue</th>
<th>position</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1994</td>
<td>commonwealth games</td>
<td>victoria, canada</td>
<td>6th</td>
<td>400 m h</td>
</tr>
<tr>
<th>1</th>
<td>1995</td>
<td>world championships</td>
<td>gothenburg, sweden</td>
<td>6th</td>
<td>400 m h</td>
</tr>
<tr>
<th>2</th>
<td>1997</td>
<td>world championships</td>
<td>athens, greece</td>
<td>7th</td>
<td>4x400 m relay</td>
</tr>
<tr>
<th>3</th>
<td>1998</td>
<td>commonwealth games</td>
<td>kuala lumpur, malaysia</td>
<td>3rd</td>
<td>400 m h</td>
</tr>
<tr>
<th>4</th>
<td>1998</td>
<td>african championships</td>
<td>dakar, senegal</td>
<td>2nd</td>
<td>400 m h</td>
</tr>
<tr>
<th>5</th>
<td>1999</td>
<td>all-africa games</td>
<td>johannesburg, south africa</td>
<td>2nd</td>
<td>400 m h</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "position" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( position ) where venue = 'dakar, senegal' <table_name> : table | | year | competition | venue | position | notes |
|---:|-------:|:----------------------|:---------------------------|:-----------|:--------------|
| 0 | 1994 | commonwealth games | victoria, canada | 6th | 400 m h |
| 1 | 1995 | world championships | gothenburg, sweden | 6th | 400 m h |
| 2 | 1997 | world championships | athens, greece | 7th | 4x400 m relay |
| 3 | 1998 | commonwealth games | kuala lumpur, malaysia | 3rd | 400 m h |
| 4 | 1998 | african championships | dakar, senegal | 2nd | 400 m h |
| 5 | 1999 | all-africa games | johannesburg, south africa | 2nd | 400 m h | | | | count ( "position" ) |
|---:|-----------------------:|
| 0 | 1 | | [
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