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|---|---|---|---|---|---|---|---|---|---|---|
select count ( capital ) where capital = 'giza' 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 : count ( "capital" ) row 1 : 1 | select count ( capital ) where capital = 'giza' <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
& count ( "capital" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( capital ) where capital = 'giza' <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>count ( "capital" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( capital ) where capital = 'giza' <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 | | | | count ( "capital" ) |
|---:|----------------------:|
| 0 | 1 | | [
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select when? where who? = 'thomas edison' col : subject | robot's name | who? | when? | where? | occupation row 1 : solar system | cosmo-bot | copernicus | 1531 | poland | cosmonaut row 2 : olympics | rhonda robot | greeks | 776 b.c | greece | beauty queen row 3 : basketball | danny defrost-bot | james naismith | 1891 | united states | snowman row 4 : nursing | dr. bug-bot | florence nightengale | 1860 | england | doctor row 5 : scuba gear | flip the high-diving robot | jacques cousteau | 1946 | france | diver row 6 : helicopter | amelia air-bot | leonardo da vinci | 1483 | italy | pilot row 7 : corn flakes | chef boy-robot | william kellogg | 1894 | battle creek, michigan | cook row 8 : radium | miss battery-bot | marie curie | 1898 | france | battery lady row 9 : chewing gum | bubble-bot | mayans | 400 | mexico | bubble man row 10 : painting | pierro-bot | stone-age humans | 35,000 b.c | europe | clown/artist row 11 : phonograph | slide the heavy-metal robot | thomas edison | 1877 | new jersey | rock star row 12 : paper | noshi origami | ts'ai lun | 105 | china | origami maker row 13 : round earth | vasco da robot | ferdinand magellan | 1522 | spain | early sailor row 14 : dynamite | robby robot | alfred nobel | 1866 | sweden | prankster row 15 : microscope | slobot | antonie van leeuwenhoek | 1674 | the netherlands | dirty person row 16 : writing | eraser-bot | sumerians | 3,500 b.c | middle east | pencil man row 17 : sausage | sock-bot | babylonians | 3,000 b.c | middle east | sock man row 18 : bicycle | booster-bot | karl von drais | 1816 | germany | rocket man row 19 : wheel | rollin' road-bot | sumerians | 3,000 b.c | middle east | race starter row 20 : germs | roast-bot | louis pasteur | 1865 | france | firefighter row 21 : boomerang | oswald the mailman robot | aborigines | 40,000 years ago | australia | mailman row 22 : coins | verna the vend-bot | lydians | 600 b.c | turkey | vending machine row 23 : tools | hank the handyman robot | stone-age humans | 21⁄2 million years ago | africa | mechanic row 24 : saxophone | bongo-bot the six-armed robot | antoine-joseph sax | 1846 | france | six-armed drum player row 25 : toilet | brunwella the bombshell | minoans | 2000 b.c | crete | demolisher | col : when? row 1 : 1877 | select when? where who? = 'thomas edison' <table_name> : table \begin{tabular}{lllllll}
\toprule
& subject & robot's name & who? & when? & where? & occupation \\
\midrule
0 & solar system & cosmo-bot & copernicus & 1531 & poland & cosmonaut \\
1 & olympics & rhonda robot & greeks & 776 b.c & greece & beauty queen \\
2 & basketball & danny defrost-bot & james naismith & 1891 & united states & snowman \\
3 & nursing & dr. bug-bot & florence nightengale & 1860 & england & doctor \\
4 & scuba gear & flip the high-diving robot & jacques cousteau & 1946 & france & diver \\
5 & helicopter & amelia air-bot & leonardo da vinci & 1483 & italy & pilot \\
6 & corn flakes & chef boy-robot & william kellogg & 1894 & battle creek, michigan & cook \\
7 & radium & miss battery-bot & marie curie & 1898 & france & battery lady \\
8 & chewing gum & bubble-bot & mayans & 400 & mexico & bubble man \\
9 & painting & pierro-bot & stone-age humans & 35,000 b.c & europe & clown/artist \\
10 & phonograph & slide the heavy-metal robot & thomas edison & 1877 & new jersey & rock star \\
11 & paper & noshi origami & ts'ai lun & 105 & china & origami maker \\
12 & round earth & vasco da robot & ferdinand magellan & 1522 & spain & early sailor \\
13 & dynamite & robby robot & alfred nobel & 1866 & sweden & prankster \\
14 & microscope & slobot & antonie van leeuwenhoek & 1674 & the netherlands & dirty person \\
15 & writing & eraser-bot & sumerians & 3,500 b.c & middle east & pencil man \\
16 & sausage & sock-bot & babylonians & 3,000 b.c & middle east & sock man \\
17 & bicycle & booster-bot & karl von drais & 1816 & germany & rocket man \\
18 & wheel & rollin' road-bot & sumerians & 3,000 b.c & middle east & race starter \\
19 & germs & roast-bot & louis pasteur & 1865 & france & firefighter \\
20 & boomerang & oswald the mailman robot & aborigines & 40,000 years ago & australia & mailman \\
21 & coins & verna the vend-bot & lydians & 600 b.c & turkey & vending machine \\
22 & tools & hank the handyman robot & stone-age humans & 21⁄2 million years ago & africa & mechanic \\
23 & saxophone & bongo-bot the six-armed robot & antoine-joseph sax & 1846 & france & six-armed drum player \\
24 & toilet & brunwella the bombshell & minoans & 2000 b.c & crete & demolisher \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& when? \\
\midrule
0 & 1877 \\
\bottomrule
\end{tabular}
| select when? where who? = 'thomas edison' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>subject</th>
<th>robot's name</th>
<th>who?</th>
<th>when?</th>
<th>where?</th>
<th>occupation</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>solar system</td>
<td>cosmo-bot</td>
<td>copernicus</td>
<td>1531</td>
<td>poland</td>
<td>cosmonaut</td>
</tr>
<tr>
<th>1</th>
<td>olympics</td>
<td>rhonda robot</td>
<td>greeks</td>
<td>776 b.c</td>
<td>greece</td>
<td>beauty queen</td>
</tr>
<tr>
<th>2</th>
<td>basketball</td>
<td>danny defrost-bot</td>
<td>james naismith</td>
<td>1891</td>
<td>united states</td>
<td>snowman</td>
</tr>
<tr>
<th>3</th>
<td>nursing</td>
<td>dr. bug-bot</td>
<td>florence nightengale</td>
<td>1860</td>
<td>england</td>
<td>doctor</td>
</tr>
<tr>
<th>4</th>
<td>scuba gear</td>
<td>flip the high-diving robot</td>
<td>jacques cousteau</td>
<td>1946</td>
<td>france</td>
<td>diver</td>
</tr>
<tr>
<th>5</th>
<td>helicopter</td>
<td>amelia air-bot</td>
<td>leonardo da vinci</td>
<td>1483</td>
<td>italy</td>
<td>pilot</td>
</tr>
<tr>
<th>6</th>
<td>corn flakes</td>
<td>chef boy-robot</td>
<td>william kellogg</td>
<td>1894</td>
<td>battle creek, michigan</td>
<td>cook</td>
</tr>
<tr>
<th>7</th>
<td>radium</td>
<td>miss battery-bot</td>
<td>marie curie</td>
<td>1898</td>
<td>france</td>
<td>battery lady</td>
</tr>
<tr>
<th>8</th>
<td>chewing gum</td>
<td>bubble-bot</td>
<td>mayans</td>
<td>400</td>
<td>mexico</td>
<td>bubble man</td>
</tr>
<tr>
<th>9</th>
<td>painting</td>
<td>pierro-bot</td>
<td>stone-age humans</td>
<td>35,000 b.c</td>
<td>europe</td>
<td>clown/artist</td>
</tr>
<tr>
<th>10</th>
<td>phonograph</td>
<td>slide the heavy-metal robot</td>
<td>thomas edison</td>
<td>1877</td>
<td>new jersey</td>
<td>rock star</td>
</tr>
<tr>
<th>11</th>
<td>paper</td>
<td>noshi origami</td>
<td>ts'ai lun</td>
<td>105</td>
<td>china</td>
<td>origami maker</td>
</tr>
<tr>
<th>12</th>
<td>round earth</td>
<td>vasco da robot</td>
<td>ferdinand magellan</td>
<td>1522</td>
<td>spain</td>
<td>early sailor</td>
</tr>
<tr>
<th>13</th>
<td>dynamite</td>
<td>robby robot</td>
<td>alfred nobel</td>
<td>1866</td>
<td>sweden</td>
<td>prankster</td>
</tr>
<tr>
<th>14</th>
<td>microscope</td>
<td>slobot</td>
<td>antonie van leeuwenhoek</td>
<td>1674</td>
<td>the netherlands</td>
<td>dirty person</td>
</tr>
<tr>
<th>15</th>
<td>writing</td>
<td>eraser-bot</td>
<td>sumerians</td>
<td>3,500 b.c</td>
<td>middle east</td>
<td>pencil man</td>
</tr>
<tr>
<th>16</th>
<td>sausage</td>
<td>sock-bot</td>
<td>babylonians</td>
<td>3,000 b.c</td>
<td>middle east</td>
<td>sock man</td>
</tr>
<tr>
<th>17</th>
<td>bicycle</td>
<td>booster-bot</td>
<td>karl von drais</td>
<td>1816</td>
<td>germany</td>
<td>rocket man</td>
</tr>
<tr>
<th>18</th>
<td>wheel</td>
<td>rollin' road-bot</td>
<td>sumerians</td>
<td>3,000 b.c</td>
<td>middle east</td>
<td>race starter</td>
</tr>
<tr>
<th>19</th>
<td>germs</td>
<td>roast-bot</td>
<td>louis pasteur</td>
<td>1865</td>
<td>france</td>
<td>firefighter</td>
</tr>
<tr>
<th>20</th>
<td>boomerang</td>
<td>oswald the mailman robot</td>
<td>aborigines</td>
<td>40,000 years ago</td>
<td>australia</td>
<td>mailman</td>
</tr>
<tr>
<th>21</th>
<td>coins</td>
<td>verna the vend-bot</td>
<td>lydians</td>
<td>600 b.c</td>
<td>turkey</td>
<td>vending machine</td>
</tr>
<tr>
<th>22</th>
<td>tools</td>
<td>hank the handyman robot</td>
<td>stone-age humans</td>
<td>21⁄2 million years ago</td>
<td>africa</td>
<td>mechanic</td>
</tr>
<tr>
<th>23</th>
<td>saxophone</td>
<td>bongo-bot the six-armed robot</td>
<td>antoine-joseph sax</td>
<td>1846</td>
<td>france</td>
<td>six-armed drum player</td>
</tr>
<tr>
<th>24</th>
<td>toilet</td>
<td>brunwella the bombshell</td>
<td>minoans</td>
<td>2000 b.c</td>
<td>crete</td>
<td>demolisher</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>when?</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1877</td>
</tr>
</tbody>
</table> | select when? where who? = 'thomas edison' <table_name> : table | | subject | robot's name | who? | when? | where? | occupation |
|---:|:-------------|:------------------------------|:------------------------|:-----------------------|:-----------------------|:----------------------|
| 0 | solar system | cosmo-bot | copernicus | 1531 | poland | cosmonaut |
| 1 | olympics | rhonda robot | greeks | 776 b.c | greece | beauty queen |
| 2 | basketball | danny defrost-bot | james naismith | 1891 | united states | snowman |
| 3 | nursing | dr. bug-bot | florence nightengale | 1860 | england | doctor |
| 4 | scuba gear | flip the high-diving robot | jacques cousteau | 1946 | france | diver |
| 5 | helicopter | amelia air-bot | leonardo da vinci | 1483 | italy | pilot |
| 6 | corn flakes | chef boy-robot | william kellogg | 1894 | battle creek, michigan | cook |
| 7 | radium | miss battery-bot | marie curie | 1898 | france | battery lady |
| 8 | chewing gum | bubble-bot | mayans | 400 | mexico | bubble man |
| 9 | painting | pierro-bot | stone-age humans | 35,000 b.c | europe | clown/artist |
| 10 | phonograph | slide the heavy-metal robot | thomas edison | 1877 | new jersey | rock star |
| 11 | paper | noshi origami | ts'ai lun | 105 | china | origami maker |
| 12 | round earth | vasco da robot | ferdinand magellan | 1522 | spain | early sailor |
| 13 | dynamite | robby robot | alfred nobel | 1866 | sweden | prankster |
| 14 | microscope | slobot | antonie van leeuwenhoek | 1674 | the netherlands | dirty person |
| 15 | writing | eraser-bot | sumerians | 3,500 b.c | middle east | pencil man |
| 16 | sausage | sock-bot | babylonians | 3,000 b.c | middle east | sock man |
| 17 | bicycle | booster-bot | karl von drais | 1816 | germany | rocket man |
| 18 | wheel | rollin' road-bot | sumerians | 3,000 b.c | middle east | race starter |
| 19 | germs | roast-bot | louis pasteur | 1865 | france | firefighter |
| 20 | boomerang | oswald the mailman robot | aborigines | 40,000 years ago | australia | mailman |
| 21 | coins | verna the vend-bot | lydians | 600 b.c | turkey | vending machine |
| 22 | tools | hank the handyman robot | stone-age humans | 21⁄2 million years ago | africa | mechanic |
| 23 | saxophone | bongo-bot the six-armed robot | antoine-joseph sax | 1846 | france | six-armed drum player |
| 24 | toilet | brunwella the bombshell | minoans | 2000 b.c | crete | demolisher | | | | when? |
|---:|--------:|
| 0 | 1877 | | [
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select player where country of origin = 'philippines' and pick <= 3 col : pick | player | country of origin | pba team | college row 1 : 1 | danilo ildefonso | philippines | formula shell zoom masters | national row 2 : 2 | noy castillo | united states | san miguel beermen | the citadel row 3 : 3 | ali peek | united states | pop cola 800s | saint mary row 4 : 4 | brixter encarnacion | philippines | pop cola 800s | san sebastian row 5 : 5 | william antonio | united states | san miguel beermen | chaminade university row 6 : 6 | banjo calpito | philippines | sta. lucia realtors | san sebastian row 7 : 7 | henry fernandez | philippines | purefoods carne norte beefies | visayas row 8 : 8 | steven smith | united states | gordon's gin boars | united states international university | col : player row 1 : danilo ildefonso | select player where country of origin = 'philippines' and pick <= 3 <table_name> : table \begin{tabular}{llllll}
\toprule
& pick & player & country of origin & pba team & college \\
\midrule
0 & 1 & danilo ildefonso & philippines & formula shell zoom masters & national \\
1 & 2 & noy castillo & united states & san miguel beermen & the citadel \\
2 & 3 & ali peek & united states & pop cola 800s & saint mary \\
3 & 4 & brixter encarnacion & philippines & pop cola 800s & san sebastian \\
4 & 5 & william antonio & united states & san miguel beermen & chaminade university \\
5 & 6 & banjo calpito & philippines & sta. lucia realtors & san sebastian \\
6 & 7 & henry fernandez & philippines & purefoods carne norte beefies & visayas \\
7 & 8 & steven smith & united states & gordon's gin boars & united states international university \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& player \\
\midrule
0 & danilo ildefonso \\
\bottomrule
\end{tabular}
| select player where country of origin = 'philippines' and pick <= 3 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>pick</th>
<th>player</th>
<th>country of origin</th>
<th>pba team</th>
<th>college</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>danilo ildefonso</td>
<td>philippines</td>
<td>formula shell zoom masters</td>
<td>national</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>noy castillo</td>
<td>united states</td>
<td>san miguel beermen</td>
<td>the citadel</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>ali peek</td>
<td>united states</td>
<td>pop cola 800s</td>
<td>saint mary</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>brixter encarnacion</td>
<td>philippines</td>
<td>pop cola 800s</td>
<td>san sebastian</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>william antonio</td>
<td>united states</td>
<td>san miguel beermen</td>
<td>chaminade university</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>banjo calpito</td>
<td>philippines</td>
<td>sta. lucia realtors</td>
<td>san sebastian</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>henry fernandez</td>
<td>philippines</td>
<td>purefoods carne norte beefies</td>
<td>visayas</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>steven smith</td>
<td>united states</td>
<td>gordon's gin boars</td>
<td>united states international university</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>danilo ildefonso</td>
</tr>
</tbody>
</table> | select player where country of origin = 'philippines' and pick <= 3 <table_name> : table | | pick | player | country of origin | pba team | college |
|---:|-------:|:--------------------|:--------------------|:------------------------------|:---------------------------------------|
| 0 | 1 | danilo ildefonso | philippines | formula shell zoom masters | national |
| 1 | 2 | noy castillo | united states | san miguel beermen | the citadel |
| 2 | 3 | ali peek | united states | pop cola 800s | saint mary |
| 3 | 4 | brixter encarnacion | philippines | pop cola 800s | san sebastian |
| 4 | 5 | william antonio | united states | san miguel beermen | chaminade university |
| 5 | 6 | banjo calpito | philippines | sta. lucia realtors | san sebastian |
| 6 | 7 | henry fernandez | philippines | purefoods carne norte beefies | visayas |
| 7 | 8 | steven smith | united states | gordon's gin boars | united states international university | | | | player |
|---:|:-----------------|
| 0 | danilo ildefonso | | [
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select area (km2) - area (km2) where ecclesiastical jurisdictions = 'la vega' col : ecclesiastical jurisdictions | latin name | type | rite | ecclesiastical province | established | area (km2) row 1 : bani | baniensis | diocese | roman | santo domingo | 8 november 1986 | 2892 row 2 : barahona | barahonensis | diocese | roman | santo domingo | 24 april 1976 | 6973 row 3 : dominican republic | reipublicae dominicanae | military ordinariate | roman | immediately subject to the holy see | 23 january 1958 | none row 4 : la vega | vegensis | diocese | roman | santiago de los caballeros | 25 september 1953 | 4919 row 5 : mao-monte cristi | maoensis-montis christi | diocese | roman | santiago de los caballeros | 16 january 1978 | 4841 row 6 : nuestra senora de la altagracia en higuey | higueyensis / a domina nostra vulgo de la altagracia in higuey | diocese | roman | santo domingo | 1 april 1959 | 5437 row 7 : puerto plata | portus argentarii | diocese | roman | santiago de los caballeros | 16 december 1996 | 2700 row 8 : san francisco de macoris | sancti francisci de macoris | diocese | roman | santiago de los caballeros | 16 january 1978 | 3682 row 9 : san juan de la maguana | sancti ioannis maguanensis | diocese | roman | santo domingo | 25 september 1953 | 7476 row 10 : san pedro de macoris | sancti petri de macoris | diocese | roman | santo domingo | 1 february 1997 | 2588 row 11 : santiago de los caballeros | sancti iacobi equitum | metropolitan archdiocese | roman | santiago de los caballeros | 25 september 1953 | 6391 row 12 : santo domingo | sancti dominici | metropolitan archdiocese | roman | santo domingo | 8 august 1511 | 4033 | col : "area (km2) - area (km2)" row 1 : area (km2) - area (km2) | select area (km2) - area (km2) where ecclesiastical jurisdictions = 'la vega' <table_name> : table \begin{tabular}{llllllll}
\toprule
& ecclesiastical jurisdictions & latin name & type & rite & ecclesiastical province & established & area (km2) \\
\midrule
0 & bani & baniensis & diocese & roman & santo domingo & 8 november 1986 & 2892 \\
1 & barahona & barahonensis & diocese & roman & santo domingo & 24 april 1976 & 6973 \\
2 & dominican republic & reipublicae dominicanae & military ordinariate & roman & immediately subject to the holy see & 23 january 1958 & none \\
3 & la vega & vegensis & diocese & roman & santiago de los caballeros & 25 september 1953 & 4919 \\
4 & mao-monte cristi & maoensis-montis christi & diocese & roman & santiago de los caballeros & 16 january 1978 & 4841 \\
5 & nuestra senora de la altagracia en higuey & higueyensis / a domina nostra vulgo de la altagracia in higuey & diocese & roman & santo domingo & 1 april 1959 & 5437 \\
6 & puerto plata & portus argentarii & diocese & roman & santiago de los caballeros & 16 december 1996 & 2700 \\
7 & san francisco de macoris & sancti francisci de macoris & diocese & roman & santiago de los caballeros & 16 january 1978 & 3682 \\
8 & san juan de la maguana & sancti ioannis maguanensis & diocese & roman & santo domingo & 25 september 1953 & 7476 \\
9 & san pedro de macoris & sancti petri de macoris & diocese & roman & santo domingo & 1 february 1997 & 2588 \\
10 & santiago de los caballeros & sancti iacobi equitum & metropolitan archdiocese & roman & santiago de los caballeros & 25 september 1953 & 6391 \\
11 & santo domingo & sancti dominici & metropolitan archdiocese & roman & santo domingo & 8 august 1511 & 4033 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& "area (km2) - area (km2)" \\
\midrule
0 & area (km2) - area (km2) \\
\bottomrule
\end{tabular}
| select area (km2) - area (km2) where ecclesiastical jurisdictions = 'la vega' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>ecclesiastical jurisdictions</th>
<th>latin name</th>
<th>type</th>
<th>rite</th>
<th>ecclesiastical province</th>
<th>established</th>
<th>area (km2)</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>bani</td>
<td>baniensis</td>
<td>diocese</td>
<td>roman</td>
<td>santo domingo</td>
<td>8 november 1986</td>
<td>2892</td>
</tr>
<tr>
<th>1</th>
<td>barahona</td>
<td>barahonensis</td>
<td>diocese</td>
<td>roman</td>
<td>santo domingo</td>
<td>24 april 1976</td>
<td>6973</td>
</tr>
<tr>
<th>2</th>
<td>dominican republic</td>
<td>reipublicae dominicanae</td>
<td>military ordinariate</td>
<td>roman</td>
<td>immediately subject to the holy see</td>
<td>23 january 1958</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>la vega</td>
<td>vegensis</td>
<td>diocese</td>
<td>roman</td>
<td>santiago de los caballeros</td>
<td>25 september 1953</td>
<td>4919</td>
</tr>
<tr>
<th>4</th>
<td>mao-monte cristi</td>
<td>maoensis-montis christi</td>
<td>diocese</td>
<td>roman</td>
<td>santiago de los caballeros</td>
<td>16 january 1978</td>
<td>4841</td>
</tr>
<tr>
<th>5</th>
<td>nuestra senora de la altagracia en higuey</td>
<td>higueyensis / a domina nostra vulgo de la altagracia in higuey</td>
<td>diocese</td>
<td>roman</td>
<td>santo domingo</td>
<td>1 april 1959</td>
<td>5437</td>
</tr>
<tr>
<th>6</th>
<td>puerto plata</td>
<td>portus argentarii</td>
<td>diocese</td>
<td>roman</td>
<td>santiago de los caballeros</td>
<td>16 december 1996</td>
<td>2700</td>
</tr>
<tr>
<th>7</th>
<td>san francisco de macoris</td>
<td>sancti francisci de macoris</td>
<td>diocese</td>
<td>roman</td>
<td>santiago de los caballeros</td>
<td>16 january 1978</td>
<td>3682</td>
</tr>
<tr>
<th>8</th>
<td>san juan de la maguana</td>
<td>sancti ioannis maguanensis</td>
<td>diocese</td>
<td>roman</td>
<td>santo domingo</td>
<td>25 september 1953</td>
<td>7476</td>
</tr>
<tr>
<th>9</th>
<td>san pedro de macoris</td>
<td>sancti petri de macoris</td>
<td>diocese</td>
<td>roman</td>
<td>santo domingo</td>
<td>1 february 1997</td>
<td>2588</td>
</tr>
<tr>
<th>10</th>
<td>santiago de los caballeros</td>
<td>sancti iacobi equitum</td>
<td>metropolitan archdiocese</td>
<td>roman</td>
<td>santiago de los caballeros</td>
<td>25 september 1953</td>
<td>6391</td>
</tr>
<tr>
<th>11</th>
<td>santo domingo</td>
<td>sancti dominici</td>
<td>metropolitan archdiocese</td>
<td>roman</td>
<td>santo domingo</td>
<td>8 august 1511</td>
<td>4033</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>"area (km2) - area (km2)"</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>area (km2) - area (km2)</td>
</tr>
</tbody>
</table> | select area (km2) - area (km2) where ecclesiastical jurisdictions = 'la vega' <table_name> : table | | ecclesiastical jurisdictions | latin name | type | rite | ecclesiastical province | established | area (km2) |
|---:|:------------------------------------------|:---------------------------------------------------------------|:-------------------------|:-------|:------------------------------------|:------------------|:-------------|
| 0 | bani | baniensis | diocese | roman | santo domingo | 8 november 1986 | 2892 |
| 1 | barahona | barahonensis | diocese | roman | santo domingo | 24 april 1976 | 6973 |
| 2 | dominican republic | reipublicae dominicanae | military ordinariate | roman | immediately subject to the holy see | 23 january 1958 | none |
| 3 | la vega | vegensis | diocese | roman | santiago de los caballeros | 25 september 1953 | 4919 |
| 4 | mao-monte cristi | maoensis-montis christi | diocese | roman | santiago de los caballeros | 16 january 1978 | 4841 |
| 5 | nuestra senora de la altagracia en higuey | higueyensis / a domina nostra vulgo de la altagracia in higuey | diocese | roman | santo domingo | 1 april 1959 | 5437 |
| 6 | puerto plata | portus argentarii | diocese | roman | santiago de los caballeros | 16 december 1996 | 2700 |
| 7 | san francisco de macoris | sancti francisci de macoris | diocese | roman | santiago de los caballeros | 16 january 1978 | 3682 |
| 8 | san juan de la maguana | sancti ioannis maguanensis | diocese | roman | santo domingo | 25 september 1953 | 7476 |
| 9 | san pedro de macoris | sancti petri de macoris | diocese | roman | santo domingo | 1 february 1997 | 2588 |
| 10 | santiago de los caballeros | sancti iacobi equitum | metropolitan archdiocese | roman | santiago de los caballeros | 25 september 1953 | 6391 |
| 11 | santo domingo | sancti dominici | metropolitan archdiocese | roman | santo domingo | 8 august 1511 | 4033 | | | | "area (km2) - area (km2)" |
|---:|:----------------------------|
| 0 | area (km2) - area (km2) | | [
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select team where apps = 0 col : season | team | country | division | apps | goals row 1 : 2004 | cska moscow | russia | 1 | 0 | 0 row 2 : 2005 | cska moscow | russia | 1 | 0 | 0 row 3 : 2006 | spartak nizhny novgorod | russia | 2 | 36 | 1 row 4 : 2006/07 | dnipro dnipropetrovsk | ukraine | 1 | 12 | 0 row 5 : 2007/08 | dnipro dnipropetrovsk | ukraine | 1 | 24 | 0 row 6 : 2008/09 | dnipro dnipropetrovsk | ukraine | 1 | 22 | 1 row 7 : 2009/10 | dnipro dnipropetrovsk | ukraine | 1 | 28 | 0 row 8 : 2010/11 | dnipro dnipropetrovsk | ukraine | 1 | 23 | 0 row 9 : 2011/12 | dnipro dnipropetrovsk | ukraine | 1 | 16 | 0 row 10 : 2012/13 | dnipro dnipropetrovsk | ukraine | 1 | 10 | 1 row 11 : 2012/13 | lokomotiv moscow | russia | 1 | 8 | 0 row 12 : 2013/14 | lokomotiv moscow | russia | 1 | 14 | 1 | col : team row 1 : cska moscow row 2 : cska moscow | select team where apps = 0 <table_name> : table \begin{tabular}{lllllll}
\toprule
& season & team & country & division & apps & goals \\
\midrule
0 & 2004 & cska moscow & russia & 1 & 0 & 0 \\
1 & 2005 & cska moscow & russia & 1 & 0 & 0 \\
2 & 2006 & spartak nizhny novgorod & russia & 2 & 36 & 1 \\
3 & 2006/07 & dnipro dnipropetrovsk & ukraine & 1 & 12 & 0 \\
4 & 2007/08 & dnipro dnipropetrovsk & ukraine & 1 & 24 & 0 \\
5 & 2008/09 & dnipro dnipropetrovsk & ukraine & 1 & 22 & 1 \\
6 & 2009/10 & dnipro dnipropetrovsk & ukraine & 1 & 28 & 0 \\
7 & 2010/11 & dnipro dnipropetrovsk & ukraine & 1 & 23 & 0 \\
8 & 2011/12 & dnipro dnipropetrovsk & ukraine & 1 & 16 & 0 \\
9 & 2012/13 & dnipro dnipropetrovsk & ukraine & 1 & 10 & 1 \\
10 & 2012/13 & lokomotiv moscow & russia & 1 & 8 & 0 \\
11 & 2013/14 & lokomotiv moscow & russia & 1 & 14 & 1 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& team \\
\midrule
0 & cska moscow \\
1 & cska moscow \\
\bottomrule
\end{tabular}
| select team where apps = 0 <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>division</th>
<th>apps</th>
<th>goals</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2004</td>
<td>cska moscow</td>
<td>russia</td>
<td>1</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>1</th>
<td>2005</td>
<td>cska moscow</td>
<td>russia</td>
<td>1</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>2</th>
<td>2006</td>
<td>spartak nizhny novgorod</td>
<td>russia</td>
<td>2</td>
<td>36</td>
<td>1</td>
</tr>
<tr>
<th>3</th>
<td>2006/07</td>
<td>dnipro dnipropetrovsk</td>
<td>ukraine</td>
<td>1</td>
<td>12</td>
<td>0</td>
</tr>
<tr>
<th>4</th>
<td>2007/08</td>
<td>dnipro dnipropetrovsk</td>
<td>ukraine</td>
<td>1</td>
<td>24</td>
<td>0</td>
</tr>
<tr>
<th>5</th>
<td>2008/09</td>
<td>dnipro dnipropetrovsk</td>
<td>ukraine</td>
<td>1</td>
<td>22</td>
<td>1</td>
</tr>
<tr>
<th>6</th>
<td>2009/10</td>
<td>dnipro dnipropetrovsk</td>
<td>ukraine</td>
<td>1</td>
<td>28</td>
<td>0</td>
</tr>
<tr>
<th>7</th>
<td>2010/11</td>
<td>dnipro dnipropetrovsk</td>
<td>ukraine</td>
<td>1</td>
<td>23</td>
<td>0</td>
</tr>
<tr>
<th>8</th>
<td>2011/12</td>
<td>dnipro dnipropetrovsk</td>
<td>ukraine</td>
<td>1</td>
<td>16</td>
<td>0</td>
</tr>
<tr>
<th>9</th>
<td>2012/13</td>
<td>dnipro dnipropetrovsk</td>
<td>ukraine</td>
<td>1</td>
<td>10</td>
<td>1</td>
</tr>
<tr>
<th>10</th>
<td>2012/13</td>
<td>lokomotiv moscow</td>
<td>russia</td>
<td>1</td>
<td>8</td>
<td>0</td>
</tr>
<tr>
<th>11</th>
<td>2013/14</td>
<td>lokomotiv moscow</td>
<td>russia</td>
<td>1</td>
<td>14</td>
<td>1</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>cska moscow</td>
</tr>
<tr>
<th>1</th>
<td>cska moscow</td>
</tr>
</tbody>
</table> | select team where apps = 0 <table_name> : table | | season | team | country | division | apps | goals |
|---:|:---------|:------------------------|:----------|-----------:|-------:|--------:|
| 0 | 2004 | cska moscow | russia | 1 | 0 | 0 |
| 1 | 2005 | cska moscow | russia | 1 | 0 | 0 |
| 2 | 2006 | spartak nizhny novgorod | russia | 2 | 36 | 1 |
| 3 | 2006/07 | dnipro dnipropetrovsk | ukraine | 1 | 12 | 0 |
| 4 | 2007/08 | dnipro dnipropetrovsk | ukraine | 1 | 24 | 0 |
| 5 | 2008/09 | dnipro dnipropetrovsk | ukraine | 1 | 22 | 1 |
| 6 | 2009/10 | dnipro dnipropetrovsk | ukraine | 1 | 28 | 0 |
| 7 | 2010/11 | dnipro dnipropetrovsk | ukraine | 1 | 23 | 0 |
| 8 | 2011/12 | dnipro dnipropetrovsk | ukraine | 1 | 16 | 0 |
| 9 | 2012/13 | dnipro dnipropetrovsk | ukraine | 1 | 10 | 1 |
| 10 | 2012/13 | lokomotiv moscow | russia | 1 | 8 | 0 |
| 11 | 2013/14 | lokomotiv moscow | russia | 1 | 14 | 1 | | | | team |
|---:|:------------|
| 0 | cska moscow |
| 1 | cska moscow | | [
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select winner where year = 1930 col : year | winner | jockey | trainer | owner | breeder row 1 : 1919 | sir barton | johnny loftus | h. guy bedwell | j. k. l. ross | none row 2 : 1930 | gallant fox | earl sande | jim fitzsimmons | belair stud | belair stud row 3 : 1935 | omaha | willie saunders | jim fitzsimmons | belair stud | belair stud row 4 : 1937 | war admiral | charley kurtsinger | george h. conway | samuel d. riddle | samuel d. riddle row 5 : 1941 | whirlaway | eddie arcaro | ben a. jones | calumet farm | calumet farm row 6 : 1943 | count fleet | johnny longden | don cameron | fannie hertz | fannie hertz row 7 : 1946 | assault | warren mehrtens | max hirsch | king ranch | king ranch row 8 : 1948 | citation | eddie arcaro | horace a. jones | calumet farm | calumet farm row 9 : 1973 | secretariat | ron turcotte | lucien laurin | meadow stable | meadow stud row 10 : 1977 | seattle slew | jean cruguet | william h. turner, jr | karen l. taylor | ben s. castleman row 11 : 1978 | affirmed | steve cauthen | laz barrera | harbor view farm | harbor view farm | col : winner row 1 : gallant fox | select winner where year = 1930 <table_name> : table \begin{tabular}{lllllll}
\toprule
& year & winner & jockey & trainer & owner & breeder \\
\midrule
0 & 1919 & sir barton & johnny loftus & h. guy bedwell & j. k. l. ross & none \\
1 & 1930 & gallant fox & earl sande & jim fitzsimmons & belair stud & belair stud \\
2 & 1935 & omaha & willie saunders & jim fitzsimmons & belair stud & belair stud \\
3 & 1937 & war admiral & charley kurtsinger & george h. conway & samuel d. riddle & samuel d. riddle \\
4 & 1941 & whirlaway & eddie arcaro & ben a. jones & calumet farm & calumet farm \\
5 & 1943 & count fleet & johnny longden & don cameron & fannie hertz & fannie hertz \\
6 & 1946 & assault & warren mehrtens & max hirsch & king ranch & king ranch \\
7 & 1948 & citation & eddie arcaro & horace a. jones & calumet farm & calumet farm \\
8 & 1973 & secretariat & ron turcotte & lucien laurin & meadow stable & meadow stud \\
9 & 1977 & seattle slew & jean cruguet & william h. turner, jr & karen l. taylor & ben s. castleman \\
10 & 1978 & affirmed & steve cauthen & laz barrera & harbor view farm & harbor view farm \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& winner \\
\midrule
0 & gallant fox \\
\bottomrule
\end{tabular}
| select winner where year = 1930 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>winner</th>
<th>jockey</th>
<th>trainer</th>
<th>owner</th>
<th>breeder</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1919</td>
<td>sir barton</td>
<td>johnny loftus</td>
<td>h. guy bedwell</td>
<td>j. k. l. ross</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>1930</td>
<td>gallant fox</td>
<td>earl sande</td>
<td>jim fitzsimmons</td>
<td>belair stud</td>
<td>belair stud</td>
</tr>
<tr>
<th>2</th>
<td>1935</td>
<td>omaha</td>
<td>willie saunders</td>
<td>jim fitzsimmons</td>
<td>belair stud</td>
<td>belair stud</td>
</tr>
<tr>
<th>3</th>
<td>1937</td>
<td>war admiral</td>
<td>charley kurtsinger</td>
<td>george h. conway</td>
<td>samuel d. riddle</td>
<td>samuel d. riddle</td>
</tr>
<tr>
<th>4</th>
<td>1941</td>
<td>whirlaway</td>
<td>eddie arcaro</td>
<td>ben a. jones</td>
<td>calumet farm</td>
<td>calumet farm</td>
</tr>
<tr>
<th>5</th>
<td>1943</td>
<td>count fleet</td>
<td>johnny longden</td>
<td>don cameron</td>
<td>fannie hertz</td>
<td>fannie hertz</td>
</tr>
<tr>
<th>6</th>
<td>1946</td>
<td>assault</td>
<td>warren mehrtens</td>
<td>max hirsch</td>
<td>king ranch</td>
<td>king ranch</td>
</tr>
<tr>
<th>7</th>
<td>1948</td>
<td>citation</td>
<td>eddie arcaro</td>
<td>horace a. jones</td>
<td>calumet farm</td>
<td>calumet farm</td>
</tr>
<tr>
<th>8</th>
<td>1973</td>
<td>secretariat</td>
<td>ron turcotte</td>
<td>lucien laurin</td>
<td>meadow stable</td>
<td>meadow stud</td>
</tr>
<tr>
<th>9</th>
<td>1977</td>
<td>seattle slew</td>
<td>jean cruguet</td>
<td>william h. turner, jr</td>
<td>karen l. taylor</td>
<td>ben s. castleman</td>
</tr>
<tr>
<th>10</th>
<td>1978</td>
<td>affirmed</td>
<td>steve cauthen</td>
<td>laz barrera</td>
<td>harbor view farm</td>
<td>harbor view farm</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>winner</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>gallant fox</td>
</tr>
</tbody>
</table> | select winner where year = 1930 <table_name> : table | | year | winner | jockey | trainer | owner | breeder |
|---:|-------:|:-------------|:-------------------|:----------------------|:-----------------|:-----------------|
| 0 | 1919 | sir barton | johnny loftus | h. guy bedwell | j. k. l. ross | none |
| 1 | 1930 | gallant fox | earl sande | jim fitzsimmons | belair stud | belair stud |
| 2 | 1935 | omaha | willie saunders | jim fitzsimmons | belair stud | belair stud |
| 3 | 1937 | war admiral | charley kurtsinger | george h. conway | samuel d. riddle | samuel d. riddle |
| 4 | 1941 | whirlaway | eddie arcaro | ben a. jones | calumet farm | calumet farm |
| 5 | 1943 | count fleet | johnny longden | don cameron | fannie hertz | fannie hertz |
| 6 | 1946 | assault | warren mehrtens | max hirsch | king ranch | king ranch |
| 7 | 1948 | citation | eddie arcaro | horace a. jones | calumet farm | calumet farm |
| 8 | 1973 | secretariat | ron turcotte | lucien laurin | meadow stable | meadow stud |
| 9 | 1977 | seattle slew | jean cruguet | william h. turner, jr | karen l. taylor | ben s. castleman |
| 10 | 1978 | affirmed | steve cauthen | laz barrera | harbor view farm | harbor view farm | | | | winner |
|---:|:------------|
| 0 | gallant fox | | [
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select count ( venue ) where venue = 'tokyo, japan' col : year | competition | venue | position | notes row 1 : 1989 | european indoor championships | the hague, netherlands | 10th | none row 2 : 1989 | world indoor championships | budapest, hungary | 9th | none row 3 : 1991 | world indoor championships | lisbon, portugal | 6th | none row 4 : 1991 | world championships | tokyo, japan | 5th | 5.75 m nr row 5 : 1992 | european indoor championships | genoa, italy | 5th | none row 6 : 1993 | world championships | stuttgart, germany | 11th | none | col : count ( "venue" ) row 1 : 1 | select count ( venue ) where venue = 'tokyo, japan' <table_name> : table \begin{tabular}{llllll}
\toprule
& year & competition & venue & position & notes \\
\midrule
0 & 1989 & european indoor championships & the hague, netherlands & 10th & none \\
1 & 1989 & world indoor championships & budapest, hungary & 9th & none \\
2 & 1991 & world indoor championships & lisbon, portugal & 6th & none \\
3 & 1991 & world championships & tokyo, japan & 5th & 5.75 m nr \\
4 & 1992 & european indoor championships & genoa, italy & 5th & none \\
5 & 1993 & world championships & stuttgart, germany & 11th & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "venue" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( venue ) where venue = 'tokyo, japan' <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>1989</td>
<td>european indoor championships</td>
<td>the hague, netherlands</td>
<td>10th</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>1989</td>
<td>world indoor championships</td>
<td>budapest, hungary</td>
<td>9th</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>1991</td>
<td>world indoor championships</td>
<td>lisbon, portugal</td>
<td>6th</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>1991</td>
<td>world championships</td>
<td>tokyo, japan</td>
<td>5th</td>
<td>5.75 m nr</td>
</tr>
<tr>
<th>4</th>
<td>1992</td>
<td>european indoor championships</td>
<td>genoa, italy</td>
<td>5th</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>1993</td>
<td>world championships</td>
<td>stuttgart, germany</td>
<td>11th</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "venue" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( venue ) where venue = 'tokyo, japan' <table_name> : table | | year | competition | venue | position | notes |
|---:|-------:|:------------------------------|:-----------------------|:-----------|:----------|
| 0 | 1989 | european indoor championships | the hague, netherlands | 10th | none |
| 1 | 1989 | world indoor championships | budapest, hungary | 9th | none |
| 2 | 1991 | world indoor championships | lisbon, portugal | 6th | none |
| 3 | 1991 | world championships | tokyo, japan | 5th | 5.75 m nr |
| 4 | 1992 | european indoor championships | genoa, italy | 5th | none |
| 5 | 1993 | world championships | stuttgart, germany | 11th | none | | | | count ( "venue" ) |
|---:|--------------------:|
| 0 | 1 | | [
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select result where goal = 7 col : goal | date | venue | opponent | score | result | competition row 1 : 1 | 1998-10-10 00:00:00 | tyencastle park, edinburgh | estonia | 1-1 | 3-2 | ecqg9 row 2 : 2 | 1998-10-10 00:00:00 | tyencastle park, edinburgh | estonia | 3-2 | 3-2 | ecqg9 row 3 : 3 | 1998-10-14 00:00:00 | pittodrie stadium, aberdeen | faroe islands | 2-0 | 2-1 | ecqg9 row 4 : 4 | 1999-09-04 00:00:00 | olimpijski stadion, sarajevo | bosnia and herzegovina | 2-1 | 2-1 | ecqg9 row 5 : 5 | 2001-03-24 00:00:00 | hampden park, glasgow | belgium | 1-0 | 2-2 | wcqg6 row 6 : 6 | 2001-03-24 00:00:00 | hampden park, glasgow | belgium | 2-0 | 2-2 | wcqg6 row 7 : 7 | 2001-03-28 00:00:00 | hampden park, glasgow | san marino | 3-0 | 4-0 | wcqg6 | col : result row 1 : 4-0 | select result where goal = 7 <table_name> : table \begin{tabular}{llllllll}
\toprule
& goal & date & venue & opponent & score & result & competition \\
\midrule
0 & 1 & 1998-10-10 00:00:00 & tyencastle park, edinburgh & estonia & 1-1 & 3-2 & ecqg9 \\
1 & 2 & 1998-10-10 00:00:00 & tyencastle park, edinburgh & estonia & 3-2 & 3-2 & ecqg9 \\
2 & 3 & 1998-10-14 00:00:00 & pittodrie stadium, aberdeen & faroe islands & 2-0 & 2-1 & ecqg9 \\
3 & 4 & 1999-09-04 00:00:00 & olimpijski stadion, sarajevo & bosnia and herzegovina & 2-1 & 2-1 & ecqg9 \\
4 & 5 & 2001-03-24 00:00:00 & hampden park, glasgow & belgium & 1-0 & 2-2 & wcqg6 \\
5 & 6 & 2001-03-24 00:00:00 & hampden park, glasgow & belgium & 2-0 & 2-2 & wcqg6 \\
6 & 7 & 2001-03-28 00:00:00 & hampden park, glasgow & san marino & 3-0 & 4-0 & wcqg6 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& result \\
\midrule
0 & 4-0 \\
\bottomrule
\end{tabular}
| select result where goal = 7 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>goal</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>1998-10-10 00:00:00</td>
<td>tyencastle park, edinburgh</td>
<td>estonia</td>
<td>1-1</td>
<td>3-2</td>
<td>ecqg9</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>1998-10-10 00:00:00</td>
<td>tyencastle park, edinburgh</td>
<td>estonia</td>
<td>3-2</td>
<td>3-2</td>
<td>ecqg9</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>1998-10-14 00:00:00</td>
<td>pittodrie stadium, aberdeen</td>
<td>faroe islands</td>
<td>2-0</td>
<td>2-1</td>
<td>ecqg9</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>1999-09-04 00:00:00</td>
<td>olimpijski stadion, sarajevo</td>
<td>bosnia and herzegovina</td>
<td>2-1</td>
<td>2-1</td>
<td>ecqg9</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>2001-03-24 00:00:00</td>
<td>hampden park, glasgow</td>
<td>belgium</td>
<td>1-0</td>
<td>2-2</td>
<td>wcqg6</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>2001-03-24 00:00:00</td>
<td>hampden park, glasgow</td>
<td>belgium</td>
<td>2-0</td>
<td>2-2</td>
<td>wcqg6</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>2001-03-28 00:00:00</td>
<td>hampden park, glasgow</td>
<td>san marino</td>
<td>3-0</td>
<td>4-0</td>
<td>wcqg6</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>4-0</td>
</tr>
</tbody>
</table> | select result where goal = 7 <table_name> : table | | goal | date | venue | opponent | score | result | competition |
|---:|-------:|:--------------------|:-----------------------------|:-----------------------|:--------|:---------|:--------------|
| 0 | 1 | 1998-10-10 00:00:00 | tyencastle park, edinburgh | estonia | 1-1 | 3-2 | ecqg9 |
| 1 | 2 | 1998-10-10 00:00:00 | tyencastle park, edinburgh | estonia | 3-2 | 3-2 | ecqg9 |
| 2 | 3 | 1998-10-14 00:00:00 | pittodrie stadium, aberdeen | faroe islands | 2-0 | 2-1 | ecqg9 |
| 3 | 4 | 1999-09-04 00:00:00 | olimpijski stadion, sarajevo | bosnia and herzegovina | 2-1 | 2-1 | ecqg9 |
| 4 | 5 | 2001-03-24 00:00:00 | hampden park, glasgow | belgium | 1-0 | 2-2 | wcqg6 |
| 5 | 6 | 2001-03-24 00:00:00 | hampden park, glasgow | belgium | 2-0 | 2-2 | wcqg6 |
| 6 | 7 | 2001-03-28 00:00:00 | hampden park, glasgow | san marino | 3-0 | 4-0 | wcqg6 | | | | result |
|---:|:---------|
| 0 | 4-0 | | [
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select count ( nation ) where nation = 'venezuela' col : rank | nation | gold | silver | bronze | total row 1 : 1 | brazil | 45 | 33 | 36 | 114 row 2 : 2 | china | 37 | 28 | 34 | 99 row 3 : 3 | italy | 14 | 13 | 24 | 51 row 4 : 4 | poland | 13 | 19 | 11 | 43 row 5 : 5 | france | 11 | 3 | 3 | 17 row 6 : 6 | south korea | 8 | 6 | 8 | 22 row 7 : 7 | north korea | 7 | 2 | 3 | 12 row 8 : 8 | kenya | 6 | 5 | 5 | 16 row 9 : 9 | germany | 5 | 19 | 11 | 35 row 10 : 10 | ukraine | 5 | 4 | 9 | 18 row 11 : 11 | iran | 5 | 3 | 4 | 12 row 12 : 12 | norway | 4 | 5 | 2 | 11 row 13 : 13 | qatar | 3 | 1 | 2 | 6 row 14 : 14 | chile | 2 | 4 | 2 | 8 row 15 : 15 | austria | 2 | 2 | 2 | 6 row 16 : 16 | lithuania | 2 | 1 | 2 | 5 row 17 : 17 | belarus | 2 | 0 | 4 | 6 row 18 : 18 | latvia | 2 | 0 | 2 | 4 row 19 : 19 | sweden | 2 | 0 | 0 | 2 row 20 : 20 | morocco | 1 | 7 | 1 | 9 row 21 : 21 | turkey | 1 | 5 | 4 | 10 row 22 : 22 | kazakhstan | 1 | 3 | 6 | 10 row 23 : 22 | venezuela | 1 | 3 | 6 | 10 row 24 : 24 | switzerland | 1 | 3 | 5 | 9 row 25 : 25 | slovenia | 1 | 2 | 6 | 9 row 26 : 26 | bahrain | 1 | 2 | 4 | 7 row 27 : 26 | finland | 1 | 2 | 4 | 7 row 28 : 28 | algeria | 1 | 2 | 3 | 6 row 29 : 29 | estonia | 1 | 2 | 2 | 5 row 30 : 30 | united states | 1 | 1 | 3 | 5 row 31 : 31 | netherlands | 1 | 1 | 2 | 4 row 32 : 32 | syria | 1 | 1 | 0 | 2 row 33 : 33 | belgium | 1 | 0 | 2 | 3 row 34 : 33 | romania | 1 | 0 | 2 | 3 row 35 : 35 | canada | 1 | 0 | 1 | 2 row 36 : 35 | uganda | 1 | 0 | 1 | 2 row 37 : 37 | croatia | 1 | 0 | 0 | 1 row 38 : 37 | denmark | 1 | 0 | 0 | 1 row 39 : 37 | ecuador | 1 | 0 | 0 | 1 row 40 : 40 | greece | 0 | 5 | 3 | 8 row 41 : 41 | tunisia | 0 | 3 | 1 | 4 row 42 : 42 | dominican republic | 0 | 1 | 2 | 3 row 43 : 43 | jordan | 0 | 1 | 1 | 2 row 44 : 44 | egypt | 0 | 1 | 0 | 1 row 45 : 44 | hungary | 0 | 1 | 0 | 1 row 46 : 46 | india | 0 | 0 | 3 | 3 row 47 : 47 | cameroon | 0 | 0 | 2 | 2 row 48 : 47 | namibia | 0 | 0 | 2 | 2 row 49 : 47 | sri lanka | 0 | 0 | 2 | 2 row 50 : 47 | uruguay | 0 | 0 | 2 | 2 row 51 : 51 | argentina | 0 | 0 | 1 | 1 row 52 : 51 | pakistan | 0 | 0 | 1 | 1 row 53 : 51 | suriname | 0 | 0 | 1 | 1 row 54 : 51 | slovakia | 0 | 0 | 1 | 1 row 55 : total | total | 195 | 194 | 239 | 628 | col : count ( "nation" ) row 1 : 1 | select count ( nation ) where nation = 'venezuela' <table_name> : table \begin{tabular}{lllllll}
\toprule
& rank & nation & gold & silver & bronze & total \\
\midrule
0 & 1 & brazil & 45 & 33 & 36 & 114 \\
1 & 2 & china & 37 & 28 & 34 & 99 \\
2 & 3 & italy & 14 & 13 & 24 & 51 \\
3 & 4 & poland & 13 & 19 & 11 & 43 \\
4 & 5 & france & 11 & 3 & 3 & 17 \\
5 & 6 & south korea & 8 & 6 & 8 & 22 \\
6 & 7 & north korea & 7 & 2 & 3 & 12 \\
7 & 8 & kenya & 6 & 5 & 5 & 16 \\
8 & 9 & germany & 5 & 19 & 11 & 35 \\
9 & 10 & ukraine & 5 & 4 & 9 & 18 \\
10 & 11 & iran & 5 & 3 & 4 & 12 \\
11 & 12 & norway & 4 & 5 & 2 & 11 \\
12 & 13 & qatar & 3 & 1 & 2 & 6 \\
13 & 14 & chile & 2 & 4 & 2 & 8 \\
14 & 15 & austria & 2 & 2 & 2 & 6 \\
15 & 16 & lithuania & 2 & 1 & 2 & 5 \\
16 & 17 & belarus & 2 & 0 & 4 & 6 \\
17 & 18 & latvia & 2 & 0 & 2 & 4 \\
18 & 19 & sweden & 2 & 0 & 0 & 2 \\
19 & 20 & morocco & 1 & 7 & 1 & 9 \\
20 & 21 & turkey & 1 & 5 & 4 & 10 \\
21 & 22 & kazakhstan & 1 & 3 & 6 & 10 \\
22 & 22 & venezuela & 1 & 3 & 6 & 10 \\
23 & 24 & switzerland & 1 & 3 & 5 & 9 \\
24 & 25 & slovenia & 1 & 2 & 6 & 9 \\
25 & 26 & bahrain & 1 & 2 & 4 & 7 \\
26 & 26 & finland & 1 & 2 & 4 & 7 \\
27 & 28 & algeria & 1 & 2 & 3 & 6 \\
28 & 29 & estonia & 1 & 2 & 2 & 5 \\
29 & 30 & united states & 1 & 1 & 3 & 5 \\
30 & 31 & netherlands & 1 & 1 & 2 & 4 \\
31 & 32 & syria & 1 & 1 & 0 & 2 \\
32 & 33 & belgium & 1 & 0 & 2 & 3 \\
33 & 33 & romania & 1 & 0 & 2 & 3 \\
34 & 35 & canada & 1 & 0 & 1 & 2 \\
35 & 35 & uganda & 1 & 0 & 1 & 2 \\
36 & 37 & croatia & 1 & 0 & 0 & 1 \\
37 & 37 & denmark & 1 & 0 & 0 & 1 \\
38 & 37 & ecuador & 1 & 0 & 0 & 1 \\
39 & 40 & greece & 0 & 5 & 3 & 8 \\
40 & 41 & tunisia & 0 & 3 & 1 & 4 \\
41 & 42 & dominican republic & 0 & 1 & 2 & 3 \\
42 & 43 & jordan & 0 & 1 & 1 & 2 \\
43 & 44 & egypt & 0 & 1 & 0 & 1 \\
44 & 44 & hungary & 0 & 1 & 0 & 1 \\
45 & 46 & india & 0 & 0 & 3 & 3 \\
46 & 47 & cameroon & 0 & 0 & 2 & 2 \\
47 & 47 & namibia & 0 & 0 & 2 & 2 \\
48 & 47 & sri lanka & 0 & 0 & 2 & 2 \\
49 & 47 & uruguay & 0 & 0 & 2 & 2 \\
50 & 51 & argentina & 0 & 0 & 1 & 1 \\
51 & 51 & pakistan & 0 & 0 & 1 & 1 \\
52 & 51 & suriname & 0 & 0 & 1 & 1 \\
53 & 51 & slovakia & 0 & 0 & 1 & 1 \\
54 & total & total & 195 & 194 & 239 & 628 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "nation" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( nation ) where nation = 'venezuela' <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>brazil</td>
<td>45</td>
<td>33</td>
<td>36</td>
<td>114</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>china</td>
<td>37</td>
<td>28</td>
<td>34</td>
<td>99</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>italy</td>
<td>14</td>
<td>13</td>
<td>24</td>
<td>51</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>poland</td>
<td>13</td>
<td>19</td>
<td>11</td>
<td>43</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>france</td>
<td>11</td>
<td>3</td>
<td>3</td>
<td>17</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>south korea</td>
<td>8</td>
<td>6</td>
<td>8</td>
<td>22</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>north korea</td>
<td>7</td>
<td>2</td>
<td>3</td>
<td>12</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>kenya</td>
<td>6</td>
<td>5</td>
<td>5</td>
<td>16</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>germany</td>
<td>5</td>
<td>19</td>
<td>11</td>
<td>35</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>ukraine</td>
<td>5</td>
<td>4</td>
<td>9</td>
<td>18</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>iran</td>
<td>5</td>
<td>3</td>
<td>4</td>
<td>12</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>norway</td>
<td>4</td>
<td>5</td>
<td>2</td>
<td>11</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>qatar</td>
<td>3</td>
<td>1</td>
<td>2</td>
<td>6</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>chile</td>
<td>2</td>
<td>4</td>
<td>2</td>
<td>8</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>austria</td>
<td>2</td>
<td>2</td>
<td>2</td>
<td>6</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>lithuania</td>
<td>2</td>
<td>1</td>
<td>2</td>
<td>5</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>belarus</td>
<td>2</td>
<td>0</td>
<td>4</td>
<td>6</td>
</tr>
<tr>
<th>17</th>
<td>18</td>
<td>latvia</td>
<td>2</td>
<td>0</td>
<td>2</td>
<td>4</td>
</tr>
<tr>
<th>18</th>
<td>19</td>
<td>sweden</td>
<td>2</td>
<td>0</td>
<td>0</td>
<td>2</td>
</tr>
<tr>
<th>19</th>
<td>20</td>
<td>morocco</td>
<td>1</td>
<td>7</td>
<td>1</td>
<td>9</td>
</tr>
<tr>
<th>20</th>
<td>21</td>
<td>turkey</td>
<td>1</td>
<td>5</td>
<td>4</td>
<td>10</td>
</tr>
<tr>
<th>21</th>
<td>22</td>
<td>kazakhstan</td>
<td>1</td>
<td>3</td>
<td>6</td>
<td>10</td>
</tr>
<tr>
<th>22</th>
<td>22</td>
<td>venezuela</td>
<td>1</td>
<td>3</td>
<td>6</td>
<td>10</td>
</tr>
<tr>
<th>23</th>
<td>24</td>
<td>switzerland</td>
<td>1</td>
<td>3</td>
<td>5</td>
<td>9</td>
</tr>
<tr>
<th>24</th>
<td>25</td>
<td>slovenia</td>
<td>1</td>
<td>2</td>
<td>6</td>
<td>9</td>
</tr>
<tr>
<th>25</th>
<td>26</td>
<td>bahrain</td>
<td>1</td>
<td>2</td>
<td>4</td>
<td>7</td>
</tr>
<tr>
<th>26</th>
<td>26</td>
<td>finland</td>
<td>1</td>
<td>2</td>
<td>4</td>
<td>7</td>
</tr>
<tr>
<th>27</th>
<td>28</td>
<td>algeria</td>
<td>1</td>
<td>2</td>
<td>3</td>
<td>6</td>
</tr>
<tr>
<th>28</th>
<td>29</td>
<td>estonia</td>
<td>1</td>
<td>2</td>
<td>2</td>
<td>5</td>
</tr>
<tr>
<th>29</th>
<td>30</td>
<td>united states</td>
<td>1</td>
<td>1</td>
<td>3</td>
<td>5</td>
</tr>
<tr>
<th>30</th>
<td>31</td>
<td>netherlands</td>
<td>1</td>
<td>1</td>
<td>2</td>
<td>4</td>
</tr>
<tr>
<th>31</th>
<td>32</td>
<td>syria</td>
<td>1</td>
<td>1</td>
<td>0</td>
<td>2</td>
</tr>
<tr>
<th>32</th>
<td>33</td>
<td>belgium</td>
<td>1</td>
<td>0</td>
<td>2</td>
<td>3</td>
</tr>
<tr>
<th>33</th>
<td>33</td>
<td>romania</td>
<td>1</td>
<td>0</td>
<td>2</td>
<td>3</td>
</tr>
<tr>
<th>34</th>
<td>35</td>
<td>canada</td>
<td>1</td>
<td>0</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<th>35</th>
<td>35</td>
<td>uganda</td>
<td>1</td>
<td>0</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<th>36</th>
<td>37</td>
<td>croatia</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>37</th>
<td>37</td>
<td>denmark</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>38</th>
<td>37</td>
<td>ecuador</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>39</th>
<td>40</td>
<td>greece</td>
<td>0</td>
<td>5</td>
<td>3</td>
<td>8</td>
</tr>
<tr>
<th>40</th>
<td>41</td>
<td>tunisia</td>
<td>0</td>
<td>3</td>
<td>1</td>
<td>4</td>
</tr>
<tr>
<th>41</th>
<td>42</td>
<td>dominican republic</td>
<td>0</td>
<td>1</td>
<td>2</td>
<td>3</td>
</tr>
<tr>
<th>42</th>
<td>43</td>
<td>jordan</td>
<td>0</td>
<td>1</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<th>43</th>
<td>44</td>
<td>egypt</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>44</th>
<td>44</td>
<td>hungary</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>45</th>
<td>46</td>
<td>india</td>
<td>0</td>
<td>0</td>
<td>3</td>
<td>3</td>
</tr>
<tr>
<th>46</th>
<td>47</td>
<td>cameroon</td>
<td>0</td>
<td>0</td>
<td>2</td>
<td>2</td>
</tr>
<tr>
<th>47</th>
<td>47</td>
<td>namibia</td>
<td>0</td>
<td>0</td>
<td>2</td>
<td>2</td>
</tr>
<tr>
<th>48</th>
<td>47</td>
<td>sri lanka</td>
<td>0</td>
<td>0</td>
<td>2</td>
<td>2</td>
</tr>
<tr>
<th>49</th>
<td>47</td>
<td>uruguay</td>
<td>0</td>
<td>0</td>
<td>2</td>
<td>2</td>
</tr>
<tr>
<th>50</th>
<td>51</td>
<td>argentina</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>51</th>
<td>51</td>
<td>pakistan</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>52</th>
<td>51</td>
<td>suriname</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>53</th>
<td>51</td>
<td>slovakia</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>54</th>
<td>total</td>
<td>total</td>
<td>195</td>
<td>194</td>
<td>239</td>
<td>628</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "nation" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( nation ) where nation = 'venezuela' <table_name> : table | | rank | nation | gold | silver | bronze | total |
|---:|:-------|:-------------------|-------:|---------:|---------:|--------:|
| 0 | 1 | brazil | 45 | 33 | 36 | 114 |
| 1 | 2 | china | 37 | 28 | 34 | 99 |
| 2 | 3 | italy | 14 | 13 | 24 | 51 |
| 3 | 4 | poland | 13 | 19 | 11 | 43 |
| 4 | 5 | france | 11 | 3 | 3 | 17 |
| 5 | 6 | south korea | 8 | 6 | 8 | 22 |
| 6 | 7 | north korea | 7 | 2 | 3 | 12 |
| 7 | 8 | kenya | 6 | 5 | 5 | 16 |
| 8 | 9 | germany | 5 | 19 | 11 | 35 |
| 9 | 10 | ukraine | 5 | 4 | 9 | 18 |
| 10 | 11 | iran | 5 | 3 | 4 | 12 |
| 11 | 12 | norway | 4 | 5 | 2 | 11 |
| 12 | 13 | qatar | 3 | 1 | 2 | 6 |
| 13 | 14 | chile | 2 | 4 | 2 | 8 |
| 14 | 15 | austria | 2 | 2 | 2 | 6 |
| 15 | 16 | lithuania | 2 | 1 | 2 | 5 |
| 16 | 17 | belarus | 2 | 0 | 4 | 6 |
| 17 | 18 | latvia | 2 | 0 | 2 | 4 |
| 18 | 19 | sweden | 2 | 0 | 0 | 2 |
| 19 | 20 | morocco | 1 | 7 | 1 | 9 |
| 20 | 21 | turkey | 1 | 5 | 4 | 10 |
| 21 | 22 | kazakhstan | 1 | 3 | 6 | 10 |
| 22 | 22 | venezuela | 1 | 3 | 6 | 10 |
| 23 | 24 | switzerland | 1 | 3 | 5 | 9 |
| 24 | 25 | slovenia | 1 | 2 | 6 | 9 |
| 25 | 26 | bahrain | 1 | 2 | 4 | 7 |
| 26 | 26 | finland | 1 | 2 | 4 | 7 |
| 27 | 28 | algeria | 1 | 2 | 3 | 6 |
| 28 | 29 | estonia | 1 | 2 | 2 | 5 |
| 29 | 30 | united states | 1 | 1 | 3 | 5 |
| 30 | 31 | netherlands | 1 | 1 | 2 | 4 |
| 31 | 32 | syria | 1 | 1 | 0 | 2 |
| 32 | 33 | belgium | 1 | 0 | 2 | 3 |
| 33 | 33 | romania | 1 | 0 | 2 | 3 |
| 34 | 35 | canada | 1 | 0 | 1 | 2 |
| 35 | 35 | uganda | 1 | 0 | 1 | 2 |
| 36 | 37 | croatia | 1 | 0 | 0 | 1 |
| 37 | 37 | denmark | 1 | 0 | 0 | 1 |
| 38 | 37 | ecuador | 1 | 0 | 0 | 1 |
| 39 | 40 | greece | 0 | 5 | 3 | 8 |
| 40 | 41 | tunisia | 0 | 3 | 1 | 4 |
| 41 | 42 | dominican republic | 0 | 1 | 2 | 3 |
| 42 | 43 | jordan | 0 | 1 | 1 | 2 |
| 43 | 44 | egypt | 0 | 1 | 0 | 1 |
| 44 | 44 | hungary | 0 | 1 | 0 | 1 |
| 45 | 46 | india | 0 | 0 | 3 | 3 |
| 46 | 47 | cameroon | 0 | 0 | 2 | 2 |
| 47 | 47 | namibia | 0 | 0 | 2 | 2 |
| 48 | 47 | sri lanka | 0 | 0 | 2 | 2 |
| 49 | 47 | uruguay | 0 | 0 | 2 | 2 |
| 50 | 51 | argentina | 0 | 0 | 1 | 1 |
| 51 | 51 | pakistan | 0 | 0 | 1 | 1 |
| 52 | 51 | suriname | 0 | 0 | 1 | 1 |
| 53 | 51 | slovakia | 0 | 0 | 1 | 1 |
| 54 | total | total | 195 | 194 | 239 | 628 | | | | count ( "nation" ) |
|---:|---------------------:|
| 0 | 1 | | [
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select count ( country ) where country = 'china' col : year | date | venue | city | country | notes row 1 : 2012 | oct 27 - 31 | nara prefectural new public hall | nara | japan | none row 2 : 2011 | noc 28 - dec 1st | hyatt regency scottsdale resort and spa @ gainey ranch | scottsdale, arizona | usa | none row 3 : 2010 | oct 25 - 29 | palazzo degli affari | firenze | italy | none row 4 : 2009 | oct 19 - 24 | beijing hotel | beijing | china | none row 5 : 2008 | oct 27 - nov 1 | pan pacific hotel | vancouver, bc | canada | none row 6 : 2007 | sep 24-29 | university of augsburg | augsburg | germany | none row 7 : 2006 | oct 23-27 | fess parker's doubletree resort hotel | santa barbara | usa | isbn 1-59593-447-2 row 8 : 2005 | nov 6-11 | hilton | singapore | singapore | isbn 1-59593-044-2 row 9 : 2004 | oct 10-16 | none | new york | usa | isbn 1-58113-893-8 row 10 : 2003 | nov 2-8 | none | berkeley, california | usa | isbn 1-58113-722-2 row 11 : 2002 | dec 1-6 | none | juan-les-pins on the french riviera | france | isbn 1-58113-620-x row 12 : 2001 | sep 30 - oct 5 | none | ottawa | canada | isbn 1-58113-394-4 row 13 : 2000 | oct 30 - nov 3 | marina del rey | los angeles, ca | usa | proceedings: isbn 1-58113-198-4; workshops: isbn 1-58113-311-1 row 14 : 1999 | oct 30 - nov 5 | none | orlando, florida | usa | proc. part 1: isbn 1-58113-151-8; proc. part 2: isbn 1-58113-239-5 row 15 : 1998 | sep 12-16 | university of bristol | bristol | united kingdom | isbn 0-201-30990-4 row 16 : 1997 | nov 9-13 | none | seattle, wa | usa | isbn 0-89791-991-2 row 17 : 1996 | nov 18 - 22 | hynes convention center | boston, ma | usa | isbn 0-89791-871-1 row 18 : 1995 | nov 5-9 | none | san francisco, ca | usa | isbn 0-89791-751-0 row 19 : 1994 | oct 15-20 | none | san francisco, ca | usa | isbn 0-89791-686-7 row 20 : 1993 | aug 1-6 | none | anaheim, ca | usa | isbn 0-89791-596-8 | col : count ( "country" ) row 1 : 1 | select count ( country ) where country = 'china' <table_name> : table \begin{tabular}{lllllll}
\toprule
& year & date & venue & city & country & notes \\
\midrule
0 & 2012 & oct 27 - 31 & nara prefectural new public hall & nara & japan & none \\
1 & 2011 & noc 28 - dec 1st & hyatt regency scottsdale resort and spa @ gainey ranch & scottsdale, arizona & usa & none \\
2 & 2010 & oct 25 - 29 & palazzo degli affari & firenze & italy & none \\
3 & 2009 & oct 19 - 24 & beijing hotel & beijing & china & none \\
4 & 2008 & oct 27 - nov 1 & pan pacific hotel & vancouver, bc & canada & none \\
5 & 2007 & sep 24-29 & university of augsburg & augsburg & germany & none \\
6 & 2006 & oct 23-27 & fess parker's doubletree resort hotel & santa barbara & usa & isbn 1-59593-447-2 \\
7 & 2005 & nov 6-11 & hilton & singapore & singapore & isbn 1-59593-044-2 \\
8 & 2004 & oct 10-16 & none & new york & usa & isbn 1-58113-893-8 \\
9 & 2003 & nov 2-8 & none & berkeley, california & usa & isbn 1-58113-722-2 \\
10 & 2002 & dec 1-6 & none & juan-les-pins on the french riviera & france & isbn 1-58113-620-x \\
11 & 2001 & sep 30 - oct 5 & none & ottawa & canada & isbn 1-58113-394-4 \\
12 & 2000 & oct 30 - nov 3 & marina del rey & los angeles, ca & usa & proceedings: isbn 1-58113-198-4; workshops: isbn 1-58113-311-1 \\
13 & 1999 & oct 30 - nov 5 & none & orlando, florida & usa & proc. part 1: isbn 1-58113-151-8; proc. part 2: isbn 1-58113-239-5 \\
14 & 1998 & sep 12-16 & university of bristol & bristol & united kingdom & isbn 0-201-30990-4 \\
15 & 1997 & nov 9-13 & none & seattle, wa & usa & isbn 0-89791-991-2 \\
16 & 1996 & nov 18 - 22 & hynes convention center & boston, ma & usa & isbn 0-89791-871-1 \\
17 & 1995 & nov 5-9 & none & san francisco, ca & usa & isbn 0-89791-751-0 \\
18 & 1994 & oct 15-20 & none & san francisco, ca & usa & isbn 0-89791-686-7 \\
19 & 1993 & aug 1-6 & none & anaheim, ca & usa & isbn 0-89791-596-8 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "country" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( country ) where country = 'china' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>date</th>
<th>venue</th>
<th>city</th>
<th>country</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2012</td>
<td>oct 27 - 31</td>
<td>nara prefectural new public hall</td>
<td>nara</td>
<td>japan</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>2011</td>
<td>noc 28 - dec 1st</td>
<td>hyatt regency scottsdale resort and spa @ gainey ranch</td>
<td>scottsdale, arizona</td>
<td>usa</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>2010</td>
<td>oct 25 - 29</td>
<td>palazzo degli affari</td>
<td>firenze</td>
<td>italy</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>2009</td>
<td>oct 19 - 24</td>
<td>beijing hotel</td>
<td>beijing</td>
<td>china</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>2008</td>
<td>oct 27 - nov 1</td>
<td>pan pacific hotel</td>
<td>vancouver, bc</td>
<td>canada</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>2007</td>
<td>sep 24-29</td>
<td>university of augsburg</td>
<td>augsburg</td>
<td>germany</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>2006</td>
<td>oct 23-27</td>
<td>fess parker's doubletree resort hotel</td>
<td>santa barbara</td>
<td>usa</td>
<td>isbn 1-59593-447-2</td>
</tr>
<tr>
<th>7</th>
<td>2005</td>
<td>nov 6-11</td>
<td>hilton</td>
<td>singapore</td>
<td>singapore</td>
<td>isbn 1-59593-044-2</td>
</tr>
<tr>
<th>8</th>
<td>2004</td>
<td>oct 10-16</td>
<td>none</td>
<td>new york</td>
<td>usa</td>
<td>isbn 1-58113-893-8</td>
</tr>
<tr>
<th>9</th>
<td>2003</td>
<td>nov 2-8</td>
<td>none</td>
<td>berkeley, california</td>
<td>usa</td>
<td>isbn 1-58113-722-2</td>
</tr>
<tr>
<th>10</th>
<td>2002</td>
<td>dec 1-6</td>
<td>none</td>
<td>juan-les-pins on the french riviera</td>
<td>france</td>
<td>isbn 1-58113-620-x</td>
</tr>
<tr>
<th>11</th>
<td>2001</td>
<td>sep 30 - oct 5</td>
<td>none</td>
<td>ottawa</td>
<td>canada</td>
<td>isbn 1-58113-394-4</td>
</tr>
<tr>
<th>12</th>
<td>2000</td>
<td>oct 30 - nov 3</td>
<td>marina del rey</td>
<td>los angeles, ca</td>
<td>usa</td>
<td>proceedings: isbn 1-58113-198-4; workshops: isbn 1-58113-311-1</td>
</tr>
<tr>
<th>13</th>
<td>1999</td>
<td>oct 30 - nov 5</td>
<td>none</td>
<td>orlando, florida</td>
<td>usa</td>
<td>proc. part 1: isbn 1-58113-151-8; proc. part 2: isbn 1-58113-239-5</td>
</tr>
<tr>
<th>14</th>
<td>1998</td>
<td>sep 12-16</td>
<td>university of bristol</td>
<td>bristol</td>
<td>united kingdom</td>
<td>isbn 0-201-30990-4</td>
</tr>
<tr>
<th>15</th>
<td>1997</td>
<td>nov 9-13</td>
<td>none</td>
<td>seattle, wa</td>
<td>usa</td>
<td>isbn 0-89791-991-2</td>
</tr>
<tr>
<th>16</th>
<td>1996</td>
<td>nov 18 - 22</td>
<td>hynes convention center</td>
<td>boston, ma</td>
<td>usa</td>
<td>isbn 0-89791-871-1</td>
</tr>
<tr>
<th>17</th>
<td>1995</td>
<td>nov 5-9</td>
<td>none</td>
<td>san francisco, ca</td>
<td>usa</td>
<td>isbn 0-89791-751-0</td>
</tr>
<tr>
<th>18</th>
<td>1994</td>
<td>oct 15-20</td>
<td>none</td>
<td>san francisco, ca</td>
<td>usa</td>
<td>isbn 0-89791-686-7</td>
</tr>
<tr>
<th>19</th>
<td>1993</td>
<td>aug 1-6</td>
<td>none</td>
<td>anaheim, ca</td>
<td>usa</td>
<td>isbn 0-89791-596-8</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>1</td>
</tr>
</tbody>
</table> | select count ( country ) where country = 'china' <table_name> : table | | year | date | venue | city | country | notes |
|---:|-------:|:-----------------|:-------------------------------------------------------|:------------------------------------|:---------------|:-------------------------------------------------------------------|
| 0 | 2012 | oct 27 - 31 | nara prefectural new public hall | nara | japan | none |
| 1 | 2011 | noc 28 - dec 1st | hyatt regency scottsdale resort and spa @ gainey ranch | scottsdale, arizona | usa | none |
| 2 | 2010 | oct 25 - 29 | palazzo degli affari | firenze | italy | none |
| 3 | 2009 | oct 19 - 24 | beijing hotel | beijing | china | none |
| 4 | 2008 | oct 27 - nov 1 | pan pacific hotel | vancouver, bc | canada | none |
| 5 | 2007 | sep 24-29 | university of augsburg | augsburg | germany | none |
| 6 | 2006 | oct 23-27 | fess parker's doubletree resort hotel | santa barbara | usa | isbn 1-59593-447-2 |
| 7 | 2005 | nov 6-11 | hilton | singapore | singapore | isbn 1-59593-044-2 |
| 8 | 2004 | oct 10-16 | none | new york | usa | isbn 1-58113-893-8 |
| 9 | 2003 | nov 2-8 | none | berkeley, california | usa | isbn 1-58113-722-2 |
| 10 | 2002 | dec 1-6 | none | juan-les-pins on the french riviera | france | isbn 1-58113-620-x |
| 11 | 2001 | sep 30 - oct 5 | none | ottawa | canada | isbn 1-58113-394-4 |
| 12 | 2000 | oct 30 - nov 3 | marina del rey | los angeles, ca | usa | proceedings: isbn 1-58113-198-4; workshops: isbn 1-58113-311-1 |
| 13 | 1999 | oct 30 - nov 5 | none | orlando, florida | usa | proc. part 1: isbn 1-58113-151-8; proc. part 2: isbn 1-58113-239-5 |
| 14 | 1998 | sep 12-16 | university of bristol | bristol | united kingdom | isbn 0-201-30990-4 |
| 15 | 1997 | nov 9-13 | none | seattle, wa | usa | isbn 0-89791-991-2 |
| 16 | 1996 | nov 18 - 22 | hynes convention center | boston, ma | usa | isbn 0-89791-871-1 |
| 17 | 1995 | nov 5-9 | none | san francisco, ca | usa | isbn 0-89791-751-0 |
| 18 | 1994 | oct 15-20 | none | san francisco, ca | usa | isbn 0-89791-686-7 |
| 19 | 1993 | aug 1-6 | none | anaheim, ca | usa | isbn 0-89791-596-8 | | | | count ( "country" ) |
|---:|----------------------:|
| 0 | 1 | | [
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select record where game = 4 col : game | november | opponent | score | record row 1 : 2 | 5 | @ detroit red wings | 12 - 5 | 0-2-0 row 2 : 3 | 7 | montreal canadiens | 4 - 3 ot | 1-2-0 row 3 : 4 | 8 | @ montreal canadiens | 10 - 4 | 1-3-0 row 4 : 5 | 10 | chicago black hawks | 5 - 3 ot | 2-3-0 row 5 : 6 | 14 | @ boston bruins | 5 - 3 | 2-4-0 row 6 : 7 | 15 | boston bruins | 4 - 3 | 2-5-0 row 7 : 8 | 19 | toronto maple leafs | 7 - 3 | 2-6-0 row 8 : 9 | 22 | detroit red wings | 4 - 4 | 2-6-1 row 9 : 10 | 26 | @ chicago black hawks | 2 - 1 | 3-6-1 row 10 : 11 | 28 | @ toronto maple leafs | 8 - 6 | 3-7-1 row 11 : 12 | 29 | boston bruins | 3 - 2 | 4-7-1 | col : record row 1 : 1-3-0 | select record where game = 4 <table_name> : table \begin{tabular}{llllll}
\toprule
& game & november & opponent & score & record \\
\midrule
0 & 2 & 5 & @ detroit red wings & 12 - 5 & 0-2-0 \\
1 & 3 & 7 & montreal canadiens & 4 - 3 ot & 1-2-0 \\
2 & 4 & 8 & @ montreal canadiens & 10 - 4 & 1-3-0 \\
3 & 5 & 10 & chicago black hawks & 5 - 3 ot & 2-3-0 \\
4 & 6 & 14 & @ boston bruins & 5 - 3 & 2-4-0 \\
5 & 7 & 15 & boston bruins & 4 - 3 & 2-5-0 \\
6 & 8 & 19 & toronto maple leafs & 7 - 3 & 2-6-0 \\
7 & 9 & 22 & detroit red wings & 4 - 4 & 2-6-1 \\
8 & 10 & 26 & @ chicago black hawks & 2 - 1 & 3-6-1 \\
9 & 11 & 28 & @ toronto maple leafs & 8 - 6 & 3-7-1 \\
10 & 12 & 29 & boston bruins & 3 - 2 & 4-7-1 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& record \\
\midrule
0 & 1-3-0 \\
\bottomrule
\end{tabular}
| select record where game = 4 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>game</th>
<th>november</th>
<th>opponent</th>
<th>score</th>
<th>record</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2</td>
<td>5</td>
<td>@ detroit red wings</td>
<td>12 - 5</td>
<td>0-2-0</td>
</tr>
<tr>
<th>1</th>
<td>3</td>
<td>7</td>
<td>montreal canadiens</td>
<td>4 - 3 ot</td>
<td>1-2-0</td>
</tr>
<tr>
<th>2</th>
<td>4</td>
<td>8</td>
<td>@ montreal canadiens</td>
<td>10 - 4</td>
<td>1-3-0</td>
</tr>
<tr>
<th>3</th>
<td>5</td>
<td>10</td>
<td>chicago black hawks</td>
<td>5 - 3 ot</td>
<td>2-3-0</td>
</tr>
<tr>
<th>4</th>
<td>6</td>
<td>14</td>
<td>@ boston bruins</td>
<td>5 - 3</td>
<td>2-4-0</td>
</tr>
<tr>
<th>5</th>
<td>7</td>
<td>15</td>
<td>boston bruins</td>
<td>4 - 3</td>
<td>2-5-0</td>
</tr>
<tr>
<th>6</th>
<td>8</td>
<td>19</td>
<td>toronto maple leafs</td>
<td>7 - 3</td>
<td>2-6-0</td>
</tr>
<tr>
<th>7</th>
<td>9</td>
<td>22</td>
<td>detroit red wings</td>
<td>4 - 4</td>
<td>2-6-1</td>
</tr>
<tr>
<th>8</th>
<td>10</td>
<td>26</td>
<td>@ chicago black hawks</td>
<td>2 - 1</td>
<td>3-6-1</td>
</tr>
<tr>
<th>9</th>
<td>11</td>
<td>28</td>
<td>@ toronto maple leafs</td>
<td>8 - 6</td>
<td>3-7-1</td>
</tr>
<tr>
<th>10</th>
<td>12</td>
<td>29</td>
<td>boston bruins</td>
<td>3 - 2</td>
<td>4-7-1</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>1-3-0</td>
</tr>
</tbody>
</table> | select record where game = 4 <table_name> : table | | game | november | opponent | score | record |
|---:|-------:|-----------:|:----------------------|:---------|:---------|
| 0 | 2 | 5 | @ detroit red wings | 12 - 5 | 0-2-0 |
| 1 | 3 | 7 | montreal canadiens | 4 - 3 ot | 1-2-0 |
| 2 | 4 | 8 | @ montreal canadiens | 10 - 4 | 1-3-0 |
| 3 | 5 | 10 | chicago black hawks | 5 - 3 ot | 2-3-0 |
| 4 | 6 | 14 | @ boston bruins | 5 - 3 | 2-4-0 |
| 5 | 7 | 15 | boston bruins | 4 - 3 | 2-5-0 |
| 6 | 8 | 19 | toronto maple leafs | 7 - 3 | 2-6-0 |
| 7 | 9 | 22 | detroit red wings | 4 - 4 | 2-6-1 |
| 8 | 10 | 26 | @ chicago black hawks | 2 - 1 | 3-6-1 |
| 9 | 11 | 28 | @ toronto maple leafs | 8 - 6 | 3-7-1 |
| 10 | 12 | 29 | boston bruins | 3 - 2 | 4-7-1 | | | | record |
|---:|:---------|
| 0 | 1-3-0 | | [
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]
] |
select year where code = 'q1' col : code | year row 1 : a | 1927 row 2 : b | 1928 row 3 : c | 1929 row 4 : ch | 1930 row 5 : d | 1931 row 6 : e | 1932 row 7 : f | 1933 row 8 : g | 1934 row 9 : h | 1935 row 10 : i | 1936 row 11 : j | 1937 row 12 : k | 1938 row 13 : l | 1939 row 14 : ll | 1940 row 15 : m | 1941 row 16 : n | 1942 row 17 : n | 1943 row 18 : o | 1944 row 19 : p | 1945 row 20 : q | 1946 row 21 : r | 1947 row 22 : s | 1948 row 23 : t | 1949 row 24 : u | 1950 row 25 : v | 1951 row 26 : x | 1952 row 27 : y | 1953 row 28 : z | 1954 row 29 : a1 | 1955 row 30 : b1 | 1956 row 31 : c1 | 1957 row 32 : ch1 | none row 33 : d1 | 1958 row 34 : e1 | 1959 row 35 : f1 | 1960 row 36 : g1 | 1961 row 37 : h1 | 1962 row 38 : i1 | 1963 row 39 : j1 | 1964 row 40 : k1 | 1965 row 41 : l1 | 1966 row 42 : ll1 | none row 43 : m1 | 1967 row 44 : n1 | 1968 row 45 : n1 | 1969 row 46 : o1 | 1970 row 47 : p1 | 1971 row 48 : q1 | 1972 row 49 : r1 | 1973 row 50 : s1 | 1974 row 51 : t1 | 1975 row 52 : u1 | 1976 row 53 : v1 | 1977 row 54 : x1 | 1978 row 55 : y1 | 1979 row 56 : z1 | 1980 row 57 : a2 | 1981 row 58 : b2 | 1982 row 59 : c2 | 1983 row 60 : ch2 | none row 61 : d2 | 1984 row 62 : e2 | 1985 row 63 : f2 | 1986 row 64 : g2 | 1987 row 65 : h2 | 1988 row 66 : i2 | 1989 row 67 : j2 | 1990 row 68 : k2 | 1991 row 69 : l2 | 1992 row 70 : ll2 | none row 71 : m2 | 1993 row 72 : n2 | 1994 row 73 : n2 | 1995 row 74 : o2 | 1996 row 75 : p2 | 1997 row 76 : q2 | 1998 row 77 : r2 | 1999 row 78 : s2 | 2000 row 79 : t2 | 2001 row 80 : u2 | 2002 row 81 : v2 | 2003 row 82 : x2 | 2004 row 83 : y2 | 2005 row 84 : z2 | 2006 | col : year row 1 : 1972 | select year where code = 'q1' <table_name> : table \begin{tabular}{lll}
\toprule
& code & year \\
\midrule
0 & a & 1927 \\
1 & b & 1928 \\
2 & c & 1929 \\
3 & ch & 1930 \\
4 & d & 1931 \\
5 & e & 1932 \\
6 & f & 1933 \\
7 & g & 1934 \\
8 & h & 1935 \\
9 & i & 1936 \\
10 & j & 1937 \\
11 & k & 1938 \\
12 & l & 1939 \\
13 & ll & 1940 \\
14 & m & 1941 \\
15 & n & 1942 \\
16 & n & 1943 \\
17 & o & 1944 \\
18 & p & 1945 \\
19 & q & 1946 \\
20 & r & 1947 \\
21 & s & 1948 \\
22 & t & 1949 \\
23 & u & 1950 \\
24 & v & 1951 \\
25 & x & 1952 \\
26 & y & 1953 \\
27 & z & 1954 \\
28 & a1 & 1955 \\
29 & b1 & 1956 \\
30 & c1 & 1957 \\
31 & ch1 & none \\
32 & d1 & 1958 \\
33 & e1 & 1959 \\
34 & f1 & 1960 \\
35 & g1 & 1961 \\
36 & h1 & 1962 \\
37 & i1 & 1963 \\
38 & j1 & 1964 \\
39 & k1 & 1965 \\
40 & l1 & 1966 \\
41 & ll1 & none \\
42 & m1 & 1967 \\
43 & n1 & 1968 \\
44 & n1 & 1969 \\
45 & o1 & 1970 \\
46 & p1 & 1971 \\
47 & q1 & 1972 \\
48 & r1 & 1973 \\
49 & s1 & 1974 \\
50 & t1 & 1975 \\
51 & u1 & 1976 \\
52 & v1 & 1977 \\
53 & x1 & 1978 \\
54 & y1 & 1979 \\
55 & z1 & 1980 \\
56 & a2 & 1981 \\
57 & b2 & 1982 \\
58 & c2 & 1983 \\
59 & ch2 & none \\
60 & d2 & 1984 \\
61 & e2 & 1985 \\
62 & f2 & 1986 \\
63 & g2 & 1987 \\
64 & h2 & 1988 \\
65 & i2 & 1989 \\
66 & j2 & 1990 \\
67 & k2 & 1991 \\
68 & l2 & 1992 \\
69 & ll2 & none \\
70 & m2 & 1993 \\
71 & n2 & 1994 \\
72 & n2 & 1995 \\
73 & o2 & 1996 \\
74 & p2 & 1997 \\
75 & q2 & 1998 \\
76 & r2 & 1999 \\
77 & s2 & 2000 \\
78 & t2 & 2001 \\
79 & u2 & 2002 \\
80 & v2 & 2003 \\
81 & x2 & 2004 \\
82 & y2 & 2005 \\
83 & z2 & 2006 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& year \\
\midrule
0 & 1972 \\
\bottomrule
\end{tabular}
| select year where code = 'q1' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>code</th>
<th>year</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>a</td>
<td>1927</td>
</tr>
<tr>
<th>1</th>
<td>b</td>
<td>1928</td>
</tr>
<tr>
<th>2</th>
<td>c</td>
<td>1929</td>
</tr>
<tr>
<th>3</th>
<td>ch</td>
<td>1930</td>
</tr>
<tr>
<th>4</th>
<td>d</td>
<td>1931</td>
</tr>
<tr>
<th>5</th>
<td>e</td>
<td>1932</td>
</tr>
<tr>
<th>6</th>
<td>f</td>
<td>1933</td>
</tr>
<tr>
<th>7</th>
<td>g</td>
<td>1934</td>
</tr>
<tr>
<th>8</th>
<td>h</td>
<td>1935</td>
</tr>
<tr>
<th>9</th>
<td>i</td>
<td>1936</td>
</tr>
<tr>
<th>10</th>
<td>j</td>
<td>1937</td>
</tr>
<tr>
<th>11</th>
<td>k</td>
<td>1938</td>
</tr>
<tr>
<th>12</th>
<td>l</td>
<td>1939</td>
</tr>
<tr>
<th>13</th>
<td>ll</td>
<td>1940</td>
</tr>
<tr>
<th>14</th>
<td>m</td>
<td>1941</td>
</tr>
<tr>
<th>15</th>
<td>n</td>
<td>1942</td>
</tr>
<tr>
<th>16</th>
<td>n</td>
<td>1943</td>
</tr>
<tr>
<th>17</th>
<td>o</td>
<td>1944</td>
</tr>
<tr>
<th>18</th>
<td>p</td>
<td>1945</td>
</tr>
<tr>
<th>19</th>
<td>q</td>
<td>1946</td>
</tr>
<tr>
<th>20</th>
<td>r</td>
<td>1947</td>
</tr>
<tr>
<th>21</th>
<td>s</td>
<td>1948</td>
</tr>
<tr>
<th>22</th>
<td>t</td>
<td>1949</td>
</tr>
<tr>
<th>23</th>
<td>u</td>
<td>1950</td>
</tr>
<tr>
<th>24</th>
<td>v</td>
<td>1951</td>
</tr>
<tr>
<th>25</th>
<td>x</td>
<td>1952</td>
</tr>
<tr>
<th>26</th>
<td>y</td>
<td>1953</td>
</tr>
<tr>
<th>27</th>
<td>z</td>
<td>1954</td>
</tr>
<tr>
<th>28</th>
<td>a1</td>
<td>1955</td>
</tr>
<tr>
<th>29</th>
<td>b1</td>
<td>1956</td>
</tr>
<tr>
<th>30</th>
<td>c1</td>
<td>1957</td>
</tr>
<tr>
<th>31</th>
<td>ch1</td>
<td>none</td>
</tr>
<tr>
<th>32</th>
<td>d1</td>
<td>1958</td>
</tr>
<tr>
<th>33</th>
<td>e1</td>
<td>1959</td>
</tr>
<tr>
<th>34</th>
<td>f1</td>
<td>1960</td>
</tr>
<tr>
<th>35</th>
<td>g1</td>
<td>1961</td>
</tr>
<tr>
<th>36</th>
<td>h1</td>
<td>1962</td>
</tr>
<tr>
<th>37</th>
<td>i1</td>
<td>1963</td>
</tr>
<tr>
<th>38</th>
<td>j1</td>
<td>1964</td>
</tr>
<tr>
<th>39</th>
<td>k1</td>
<td>1965</td>
</tr>
<tr>
<th>40</th>
<td>l1</td>
<td>1966</td>
</tr>
<tr>
<th>41</th>
<td>ll1</td>
<td>none</td>
</tr>
<tr>
<th>42</th>
<td>m1</td>
<td>1967</td>
</tr>
<tr>
<th>43</th>
<td>n1</td>
<td>1968</td>
</tr>
<tr>
<th>44</th>
<td>n1</td>
<td>1969</td>
</tr>
<tr>
<th>45</th>
<td>o1</td>
<td>1970</td>
</tr>
<tr>
<th>46</th>
<td>p1</td>
<td>1971</td>
</tr>
<tr>
<th>47</th>
<td>q1</td>
<td>1972</td>
</tr>
<tr>
<th>48</th>
<td>r1</td>
<td>1973</td>
</tr>
<tr>
<th>49</th>
<td>s1</td>
<td>1974</td>
</tr>
<tr>
<th>50</th>
<td>t1</td>
<td>1975</td>
</tr>
<tr>
<th>51</th>
<td>u1</td>
<td>1976</td>
</tr>
<tr>
<th>52</th>
<td>v1</td>
<td>1977</td>
</tr>
<tr>
<th>53</th>
<td>x1</td>
<td>1978</td>
</tr>
<tr>
<th>54</th>
<td>y1</td>
<td>1979</td>
</tr>
<tr>
<th>55</th>
<td>z1</td>
<td>1980</td>
</tr>
<tr>
<th>56</th>
<td>a2</td>
<td>1981</td>
</tr>
<tr>
<th>57</th>
<td>b2</td>
<td>1982</td>
</tr>
<tr>
<th>58</th>
<td>c2</td>
<td>1983</td>
</tr>
<tr>
<th>59</th>
<td>ch2</td>
<td>none</td>
</tr>
<tr>
<th>60</th>
<td>d2</td>
<td>1984</td>
</tr>
<tr>
<th>61</th>
<td>e2</td>
<td>1985</td>
</tr>
<tr>
<th>62</th>
<td>f2</td>
<td>1986</td>
</tr>
<tr>
<th>63</th>
<td>g2</td>
<td>1987</td>
</tr>
<tr>
<th>64</th>
<td>h2</td>
<td>1988</td>
</tr>
<tr>
<th>65</th>
<td>i2</td>
<td>1989</td>
</tr>
<tr>
<th>66</th>
<td>j2</td>
<td>1990</td>
</tr>
<tr>
<th>67</th>
<td>k2</td>
<td>1991</td>
</tr>
<tr>
<th>68</th>
<td>l2</td>
<td>1992</td>
</tr>
<tr>
<th>69</th>
<td>ll2</td>
<td>none</td>
</tr>
<tr>
<th>70</th>
<td>m2</td>
<td>1993</td>
</tr>
<tr>
<th>71</th>
<td>n2</td>
<td>1994</td>
</tr>
<tr>
<th>72</th>
<td>n2</td>
<td>1995</td>
</tr>
<tr>
<th>73</th>
<td>o2</td>
<td>1996</td>
</tr>
<tr>
<th>74</th>
<td>p2</td>
<td>1997</td>
</tr>
<tr>
<th>75</th>
<td>q2</td>
<td>1998</td>
</tr>
<tr>
<th>76</th>
<td>r2</td>
<td>1999</td>
</tr>
<tr>
<th>77</th>
<td>s2</td>
<td>2000</td>
</tr>
<tr>
<th>78</th>
<td>t2</td>
<td>2001</td>
</tr>
<tr>
<th>79</th>
<td>u2</td>
<td>2002</td>
</tr>
<tr>
<th>80</th>
<td>v2</td>
<td>2003</td>
</tr>
<tr>
<th>81</th>
<td>x2</td>
<td>2004</td>
</tr>
<tr>
<th>82</th>
<td>y2</td>
<td>2005</td>
</tr>
<tr>
<th>83</th>
<td>z2</td>
<td>2006</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>1972</td>
</tr>
</tbody>
</table> | select year where code = 'q1' <table_name> : table | | code | year |
|---:|:-------|:-------|
| 0 | a | 1927 |
| 1 | b | 1928 |
| 2 | c | 1929 |
| 3 | ch | 1930 |
| 4 | d | 1931 |
| 5 | e | 1932 |
| 6 | f | 1933 |
| 7 | g | 1934 |
| 8 | h | 1935 |
| 9 | i | 1936 |
| 10 | j | 1937 |
| 11 | k | 1938 |
| 12 | l | 1939 |
| 13 | ll | 1940 |
| 14 | m | 1941 |
| 15 | n | 1942 |
| 16 | n | 1943 |
| 17 | o | 1944 |
| 18 | p | 1945 |
| 19 | q | 1946 |
| 20 | r | 1947 |
| 21 | s | 1948 |
| 22 | t | 1949 |
| 23 | u | 1950 |
| 24 | v | 1951 |
| 25 | x | 1952 |
| 26 | y | 1953 |
| 27 | z | 1954 |
| 28 | a1 | 1955 |
| 29 | b1 | 1956 |
| 30 | c1 | 1957 |
| 31 | ch1 | none |
| 32 | d1 | 1958 |
| 33 | e1 | 1959 |
| 34 | f1 | 1960 |
| 35 | g1 | 1961 |
| 36 | h1 | 1962 |
| 37 | i1 | 1963 |
| 38 | j1 | 1964 |
| 39 | k1 | 1965 |
| 40 | l1 | 1966 |
| 41 | ll1 | none |
| 42 | m1 | 1967 |
| 43 | n1 | 1968 |
| 44 | n1 | 1969 |
| 45 | o1 | 1970 |
| 46 | p1 | 1971 |
| 47 | q1 | 1972 |
| 48 | r1 | 1973 |
| 49 | s1 | 1974 |
| 50 | t1 | 1975 |
| 51 | u1 | 1976 |
| 52 | v1 | 1977 |
| 53 | x1 | 1978 |
| 54 | y1 | 1979 |
| 55 | z1 | 1980 |
| 56 | a2 | 1981 |
| 57 | b2 | 1982 |
| 58 | c2 | 1983 |
| 59 | ch2 | none |
| 60 | d2 | 1984 |
| 61 | e2 | 1985 |
| 62 | f2 | 1986 |
| 63 | g2 | 1987 |
| 64 | h2 | 1988 |
| 65 | i2 | 1989 |
| 66 | j2 | 1990 |
| 67 | k2 | 1991 |
| 68 | l2 | 1992 |
| 69 | ll2 | none |
| 70 | m2 | 1993 |
| 71 | n2 | 1994 |
| 72 | n2 | 1995 |
| 73 | o2 | 1996 |
| 74 | p2 | 1997 |
| 75 | q2 | 1998 |
| 76 | r2 | 1999 |
| 77 | s2 | 2000 |
| 78 | t2 | 2001 |
| 79 | u2 | 2002 |
| 80 | v2 | 2003 |
| 81 | x2 | 2004 |
| 82 | y2 | 2005 |
| 83 | z2 | 2006 | | | | year |
|---:|-------:|
| 0 | 1972 | | [
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select count ( * ) where team = 'bmc racing team' col : date | race name | location | uci rating | winner | team row 1 : 6 january | copa america de ciclismo | brazil | 1.2 | francisco chamorro (arg) | funvic brasilinvest-sao jose dos campos row 2 : 11-20 january | vuelta al tachira | venezuela | 2.2 | yeison delgado (ven) | kino tachira-drodinica row 3 : 21-27 january | tour de san luis | argentina | 2.1 | daniel diaz (arg) | san luis somos todos row 4 : 21-28 april | vuelta a guatemala | guatemala | 2.2 | oscar sanchez (col) | gw shimano row 5 : 1-5 may | tour of the gila | united states | 2.2 | philip deignan (irl) | unitedhealthcare row 6 : 2 may | pan american cycling championships - time trial | mexico | cc | carlos oyarzun (chi) | chile national team row 7 : 5 may | pan american cycling championships - road race | mexico | cc | jonathan paredes (col) | colombia national team row 8 : 12-19 may | tour of california | united states | 2.hc | tejay van garderen (usa) | bmc racing team row 9 : 2 june | the philly cycling classic | united states | 1.2 | kiel reijnen (usa) | unitedhealthcare row 10 : 7-9 june | coupe des nations ville saguenay | canada | 2.ncup | sondre enger (nor) | norway national team row 11 : 9-23 june | vuelta a colombia | colombia | 2.2 | oscar sevilla (esp) | epm-une row 12 : 11-16 june | tour de beauce | canada | 2.2 | nathan brown (usa) | bontrager cycling team row 13 : 7 july | tour de delta | canada | 1.2 | steve fisher (usa) | hagens berman cycling row 14 : 19-28 july | vuelta a venezuela | venezuela | 2.2 | carlos jose ochoa (ven) | androni giocattoli-venezuela row 15 : 2-4 august | tour of elk grove | united states | 2.1 | elia viviani (ita) | cannondale row 16 : 6-11 august | tour of utah | united states | 2.1 | tom danielson (usa) | garmin-sharp row 17 : 6-11 august | ruta del centro | mexico | 2.2 | victor garcia (esp) | depredadores pbg design row 18 : 14-18 august | vuelta al sur de bolivia | bolivia | 2.2 | oscar soliz (bol) | pio rico row 19 : 19-25 august | usa pro cycling challenge | united states | 2.hc | tejay van garderen (usa) | bmc racing team row 20 : 28 aug-1 sep | tour do rio | brazil | 2.2 | oscar sevilla (esp) | epm-une row 21 : 3-8 september | tour of alberta | canada | 2.1 | rohan dennis (aus) | garmin-sharp row 22 : 7 september | bucks county classic | united states | 1.2 | kiel reijnen (usa) | unitedhealthcare | col : count ( "*" ) row 1 : 2 | select count ( * ) where team = 'bmc racing team' <table_name> : table \begin{tabular}{lllllll}
\toprule
& date & race name & location & uci rating & winner & team \\
\midrule
0 & 6 january & copa america de ciclismo & brazil & 1.2 & francisco chamorro (arg) & funvic brasilinvest-sao jose dos campos \\
1 & 11-20 january & vuelta al tachira & venezuela & 2.2 & yeison delgado (ven) & kino tachira-drodinica \\
2 & 21-27 january & tour de san luis & argentina & 2.1 & daniel diaz (arg) & san luis somos todos \\
3 & 21-28 april & vuelta a guatemala & guatemala & 2.2 & oscar sanchez (col) & gw shimano \\
4 & 1-5 may & tour of the gila & united states & 2.2 & philip deignan (irl) & unitedhealthcare \\
5 & 2 may & pan american cycling championships - time trial & mexico & cc & carlos oyarzun (chi) & chile national team \\
6 & 5 may & pan american cycling championships - road race & mexico & cc & jonathan paredes (col) & colombia national team \\
7 & 12-19 may & tour of california & united states & 2.hc & tejay van garderen (usa) & bmc racing team \\
8 & 2 june & the philly cycling classic & united states & 1.2 & kiel reijnen (usa) & unitedhealthcare \\
9 & 7-9 june & coupe des nations ville saguenay & canada & 2.ncup & sondre enger (nor) & norway national team \\
10 & 9-23 june & vuelta a colombia & colombia & 2.2 & oscar sevilla (esp) & epm-une \\
11 & 11-16 june & tour de beauce & canada & 2.2 & nathan brown (usa) & bontrager cycling team \\
12 & 7 july & tour de delta & canada & 1.2 & steve fisher (usa) & hagens berman cycling \\
13 & 19-28 july & vuelta a venezuela & venezuela & 2.2 & carlos jose ochoa (ven) & androni giocattoli-venezuela \\
14 & 2-4 august & tour of elk grove & united states & 2.1 & elia viviani (ita) & cannondale \\
15 & 6-11 august & tour of utah & united states & 2.1 & tom danielson (usa) & garmin-sharp \\
16 & 6-11 august & ruta del centro & mexico & 2.2 & victor garcia (esp) & depredadores pbg design \\
17 & 14-18 august & vuelta al sur de bolivia & bolivia & 2.2 & oscar soliz (bol) & pio rico \\
18 & 19-25 august & usa pro cycling challenge & united states & 2.hc & tejay van garderen (usa) & bmc racing team \\
19 & 28 aug-1 sep & tour do rio & brazil & 2.2 & oscar sevilla (esp) & epm-une \\
20 & 3-8 september & tour of alberta & canada & 2.1 & rohan dennis (aus) & garmin-sharp \\
21 & 7 september & bucks county classic & united states & 1.2 & kiel reijnen (usa) & unitedhealthcare \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 2 \\
\bottomrule
\end{tabular}
| select count ( * ) where team = 'bmc racing team' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>date</th>
<th>race name</th>
<th>location</th>
<th>uci rating</th>
<th>winner</th>
<th>team</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>6 january</td>
<td>copa america de ciclismo</td>
<td>brazil</td>
<td>1.2</td>
<td>francisco chamorro (arg)</td>
<td>funvic brasilinvest-sao jose dos campos</td>
</tr>
<tr>
<th>1</th>
<td>11-20 january</td>
<td>vuelta al tachira</td>
<td>venezuela</td>
<td>2.2</td>
<td>yeison delgado (ven)</td>
<td>kino tachira-drodinica</td>
</tr>
<tr>
<th>2</th>
<td>21-27 january</td>
<td>tour de san luis</td>
<td>argentina</td>
<td>2.1</td>
<td>daniel diaz (arg)</td>
<td>san luis somos todos</td>
</tr>
<tr>
<th>3</th>
<td>21-28 april</td>
<td>vuelta a guatemala</td>
<td>guatemala</td>
<td>2.2</td>
<td>oscar sanchez (col)</td>
<td>gw shimano</td>
</tr>
<tr>
<th>4</th>
<td>1-5 may</td>
<td>tour of the gila</td>
<td>united states</td>
<td>2.2</td>
<td>philip deignan (irl)</td>
<td>unitedhealthcare</td>
</tr>
<tr>
<th>5</th>
<td>2 may</td>
<td>pan american cycling championships - time trial</td>
<td>mexico</td>
<td>cc</td>
<td>carlos oyarzun (chi)</td>
<td>chile national team</td>
</tr>
<tr>
<th>6</th>
<td>5 may</td>
<td>pan american cycling championships - road race</td>
<td>mexico</td>
<td>cc</td>
<td>jonathan paredes (col)</td>
<td>colombia national team</td>
</tr>
<tr>
<th>7</th>
<td>12-19 may</td>
<td>tour of california</td>
<td>united states</td>
<td>2.hc</td>
<td>tejay van garderen (usa)</td>
<td>bmc racing team</td>
</tr>
<tr>
<th>8</th>
<td>2 june</td>
<td>the philly cycling classic</td>
<td>united states</td>
<td>1.2</td>
<td>kiel reijnen (usa)</td>
<td>unitedhealthcare</td>
</tr>
<tr>
<th>9</th>
<td>7-9 june</td>
<td>coupe des nations ville saguenay</td>
<td>canada</td>
<td>2.ncup</td>
<td>sondre enger (nor)</td>
<td>norway national team</td>
</tr>
<tr>
<th>10</th>
<td>9-23 june</td>
<td>vuelta a colombia</td>
<td>colombia</td>
<td>2.2</td>
<td>oscar sevilla (esp)</td>
<td>epm-une</td>
</tr>
<tr>
<th>11</th>
<td>11-16 june</td>
<td>tour de beauce</td>
<td>canada</td>
<td>2.2</td>
<td>nathan brown (usa)</td>
<td>bontrager cycling team</td>
</tr>
<tr>
<th>12</th>
<td>7 july</td>
<td>tour de delta</td>
<td>canada</td>
<td>1.2</td>
<td>steve fisher (usa)</td>
<td>hagens berman cycling</td>
</tr>
<tr>
<th>13</th>
<td>19-28 july</td>
<td>vuelta a venezuela</td>
<td>venezuela</td>
<td>2.2</td>
<td>carlos jose ochoa (ven)</td>
<td>androni giocattoli-venezuela</td>
</tr>
<tr>
<th>14</th>
<td>2-4 august</td>
<td>tour of elk grove</td>
<td>united states</td>
<td>2.1</td>
<td>elia viviani (ita)</td>
<td>cannondale</td>
</tr>
<tr>
<th>15</th>
<td>6-11 august</td>
<td>tour of utah</td>
<td>united states</td>
<td>2.1</td>
<td>tom danielson (usa)</td>
<td>garmin-sharp</td>
</tr>
<tr>
<th>16</th>
<td>6-11 august</td>
<td>ruta del centro</td>
<td>mexico</td>
<td>2.2</td>
<td>victor garcia (esp)</td>
<td>depredadores pbg design</td>
</tr>
<tr>
<th>17</th>
<td>14-18 august</td>
<td>vuelta al sur de bolivia</td>
<td>bolivia</td>
<td>2.2</td>
<td>oscar soliz (bol)</td>
<td>pio rico</td>
</tr>
<tr>
<th>18</th>
<td>19-25 august</td>
<td>usa pro cycling challenge</td>
<td>united states</td>
<td>2.hc</td>
<td>tejay van garderen (usa)</td>
<td>bmc racing team</td>
</tr>
<tr>
<th>19</th>
<td>28 aug-1 sep</td>
<td>tour do rio</td>
<td>brazil</td>
<td>2.2</td>
<td>oscar sevilla (esp)</td>
<td>epm-une</td>
</tr>
<tr>
<th>20</th>
<td>3-8 september</td>
<td>tour of alberta</td>
<td>canada</td>
<td>2.1</td>
<td>rohan dennis (aus)</td>
<td>garmin-sharp</td>
</tr>
<tr>
<th>21</th>
<td>7 september</td>
<td>bucks county classic</td>
<td>united states</td>
<td>1.2</td>
<td>kiel reijnen (usa)</td>
<td>unitedhealthcare</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>2</td>
</tr>
</tbody>
</table> | select count ( * ) where team = 'bmc racing team' <table_name> : table | | date | race name | location | uci rating | winner | team |
|---:|:--------------|:------------------------------------------------|:--------------|:-------------|:-------------------------|:----------------------------------------|
| 0 | 6 january | copa america de ciclismo | brazil | 1.2 | francisco chamorro (arg) | funvic brasilinvest-sao jose dos campos |
| 1 | 11-20 january | vuelta al tachira | venezuela | 2.2 | yeison delgado (ven) | kino tachira-drodinica |
| 2 | 21-27 january | tour de san luis | argentina | 2.1 | daniel diaz (arg) | san luis somos todos |
| 3 | 21-28 april | vuelta a guatemala | guatemala | 2.2 | oscar sanchez (col) | gw shimano |
| 4 | 1-5 may | tour of the gila | united states | 2.2 | philip deignan (irl) | unitedhealthcare |
| 5 | 2 may | pan american cycling championships - time trial | mexico | cc | carlos oyarzun (chi) | chile national team |
| 6 | 5 may | pan american cycling championships - road race | mexico | cc | jonathan paredes (col) | colombia national team |
| 7 | 12-19 may | tour of california | united states | 2.hc | tejay van garderen (usa) | bmc racing team |
| 8 | 2 june | the philly cycling classic | united states | 1.2 | kiel reijnen (usa) | unitedhealthcare |
| 9 | 7-9 june | coupe des nations ville saguenay | canada | 2.ncup | sondre enger (nor) | norway national team |
| 10 | 9-23 june | vuelta a colombia | colombia | 2.2 | oscar sevilla (esp) | epm-une |
| 11 | 11-16 june | tour de beauce | canada | 2.2 | nathan brown (usa) | bontrager cycling team |
| 12 | 7 july | tour de delta | canada | 1.2 | steve fisher (usa) | hagens berman cycling |
| 13 | 19-28 july | vuelta a venezuela | venezuela | 2.2 | carlos jose ochoa (ven) | androni giocattoli-venezuela |
| 14 | 2-4 august | tour of elk grove | united states | 2.1 | elia viviani (ita) | cannondale |
| 15 | 6-11 august | tour of utah | united states | 2.1 | tom danielson (usa) | garmin-sharp |
| 16 | 6-11 august | ruta del centro | mexico | 2.2 | victor garcia (esp) | depredadores pbg design |
| 17 | 14-18 august | vuelta al sur de bolivia | bolivia | 2.2 | oscar soliz (bol) | pio rico |
| 18 | 19-25 august | usa pro cycling challenge | united states | 2.hc | tejay van garderen (usa) | bmc racing team |
| 19 | 28 aug-1 sep | tour do rio | brazil | 2.2 | oscar sevilla (esp) | epm-une |
| 20 | 3-8 september | tour of alberta | canada | 2.1 | rohan dennis (aus) | garmin-sharp |
| 21 | 7 september | bucks county classic | united states | 1.2 | kiel reijnen (usa) | unitedhealthcare | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 2 | | [
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select department where department = 'chuquisaca' col : department | total deputies | uninominal deputies | plurinominal deputies | special indigenous or campesino deputies | senators row 1 : la paz | 29 | 14 | 14 | 1 | 4 row 2 : santa cruz | 28 | 14 | 13 | 1 | 4 row 3 : cochabamba | 19 | 9 | 9 | 1 | 4 row 4 : potosi | 13 | 7 | 6 | 0 | 4 row 5 : chuquisaca | 10 | 5 | 5 | 0 | 4 row 6 : oruro | 9 | 4 | 4 | 1 | 4 row 7 : tarija | 9 | 4 | 4 | 1 | 4 row 8 : beni | 8 | 4 | 3 | 1 | 4 row 9 : pando | 5 | 2 | 2 | 1 | 4 row 10 : total | 130 | 63 | 60 | 7 | 36 | col : department row 1 : chuquisaca | select department where department = 'chuquisaca' <table_name> : table \begin{tabular}{lllllll}
\toprule
& department & total deputies & uninominal deputies & plurinominal deputies & special indigenous or campesino deputies & senators \\
\midrule
0 & la paz & 29 & 14 & 14 & 1 & 4 \\
1 & santa cruz & 28 & 14 & 13 & 1 & 4 \\
2 & cochabamba & 19 & 9 & 9 & 1 & 4 \\
3 & potosi & 13 & 7 & 6 & 0 & 4 \\
4 & chuquisaca & 10 & 5 & 5 & 0 & 4 \\
5 & oruro & 9 & 4 & 4 & 1 & 4 \\
6 & tarija & 9 & 4 & 4 & 1 & 4 \\
7 & beni & 8 & 4 & 3 & 1 & 4 \\
8 & pando & 5 & 2 & 2 & 1 & 4 \\
9 & total & 130 & 63 & 60 & 7 & 36 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& department \\
\midrule
0 & chuquisaca \\
\bottomrule
\end{tabular}
| select department where department = 'chuquisaca' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>department</th>
<th>total deputies</th>
<th>uninominal deputies</th>
<th>plurinominal deputies</th>
<th>special indigenous or campesino deputies</th>
<th>senators</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>la paz</td>
<td>29</td>
<td>14</td>
<td>14</td>
<td>1</td>
<td>4</td>
</tr>
<tr>
<th>1</th>
<td>santa cruz</td>
<td>28</td>
<td>14</td>
<td>13</td>
<td>1</td>
<td>4</td>
</tr>
<tr>
<th>2</th>
<td>cochabamba</td>
<td>19</td>
<td>9</td>
<td>9</td>
<td>1</td>
<td>4</td>
</tr>
<tr>
<th>3</th>
<td>potosi</td>
<td>13</td>
<td>7</td>
<td>6</td>
<td>0</td>
<td>4</td>
</tr>
<tr>
<th>4</th>
<td>chuquisaca</td>
<td>10</td>
<td>5</td>
<td>5</td>
<td>0</td>
<td>4</td>
</tr>
<tr>
<th>5</th>
<td>oruro</td>
<td>9</td>
<td>4</td>
<td>4</td>
<td>1</td>
<td>4</td>
</tr>
<tr>
<th>6</th>
<td>tarija</td>
<td>9</td>
<td>4</td>
<td>4</td>
<td>1</td>
<td>4</td>
</tr>
<tr>
<th>7</th>
<td>beni</td>
<td>8</td>
<td>4</td>
<td>3</td>
<td>1</td>
<td>4</td>
</tr>
<tr>
<th>8</th>
<td>pando</td>
<td>5</td>
<td>2</td>
<td>2</td>
<td>1</td>
<td>4</td>
</tr>
<tr>
<th>9</th>
<td>total</td>
<td>130</td>
<td>63</td>
<td>60</td>
<td>7</td>
<td>36</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>department</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>chuquisaca</td>
</tr>
</tbody>
</table> | select department where department = 'chuquisaca' <table_name> : table | | department | total deputies | uninominal deputies | plurinominal deputies | special indigenous or campesino deputies | senators |
|---:|:-------------|-----------------:|----------------------:|------------------------:|-------------------------------------------:|-----------:|
| 0 | la paz | 29 | 14 | 14 | 1 | 4 |
| 1 | santa cruz | 28 | 14 | 13 | 1 | 4 |
| 2 | cochabamba | 19 | 9 | 9 | 1 | 4 |
| 3 | potosi | 13 | 7 | 6 | 0 | 4 |
| 4 | chuquisaca | 10 | 5 | 5 | 0 | 4 |
| 5 | oruro | 9 | 4 | 4 | 1 | 4 |
| 6 | tarija | 9 | 4 | 4 | 1 | 4 |
| 7 | beni | 8 | 4 | 3 | 1 | 4 |
| 8 | pando | 5 | 2 | 2 | 1 | 4 |
| 9 | total | 130 | 63 | 60 | 7 | 36 | | | | department |
|---:|:-------------|
| 0 | chuquisaca | | [
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] |
select count ( * ) where wrestler = 'buddy rogers' col : rank | wrestler | no. of reigns | combined days row 1 : 1 | lou thesz | 3 | 3749 row 2 : 2 | ric flair | 8 | 3103 row 3 : 3 | harley race | 7 | 1799 row 4 : 4 | dory funk, jr | 1 | 1563 row 5 : 5 | dan severn | 2 | 1559 row 6 : 6 | gene kiniski | 1 | 1131 row 7 : 7 | adam pearce | 5 | 1078 row 8 : 8 | jeff jarrett | 6 | 1006 row 9 : 9 | pat o'connor | 1 | 903 row 10 : 10 | jack brisco | 2 | 866 row 11 : 11 | orville brown | 1 | 692 row 12 : 12 | buddy rogers | 1 | 573 row 13 : 13 | blue demon, jr | 1 | 505 row 14 : 14 | naoya ogawa | 2 | 469 row 15 : 15 | terry funk | 1 | 424 row 16 : 16 | dick hutton | 1 | 421 row 17 : 17 | rob conway | 1 | 294 row 18 : 18 | christian cage | 2 | 245 row 19 : 19 | whipper billy watson | 1 | 239 row 20 : 20 | sting | 2 | 216 row 21 : 21 | a.j. styles | 3 | 196 row 22 : 22 | mike rapada | 2 | 176 row 23 : 23 | steve corino | 1 | 175 row 24 : 24 | colt cabana | 2 | 152 row 25 : 25 | barry windham | 1 | 147 row 26 : 26 | masahiro chono | 1 | 145 row 27 : 27 | kahagas | 1 | 134 row 28 : 28 | ron killings | 2 | 119 row 29 : 29 | dusty rhodes | 3 | 107 row 30 : 30 | chris candido | 1 | 97 row 31 : 31 | raven | 1 | 88 row 32 : 32 | satoshi kojima | 1 | 159 row 33 : 33 | shinya hashimoto | 1 | 84 row 34 : 34 | the sheik | 1 | 79 row 35 : 35 | ricky steamboat | 1 | 76 row 36 : 36 | ron garvin | 1 | 62 row 37 : 37 | abyss | 1 | 56 row 38 : 39 | ken shamrock | 1 | 49 row 39 : 39 | brent albright | 1 | 49 row 40 : 40 | the great muta | 1 | 48 row 41 : 41 | sabu | 1 | 38 row 42 : 42 | giant baba | 3 | 19 row 43 : 43 | kerry von erich | 1 | 18 row 44 : 44 | gary steele | 1 | 7 row 45 : 45 | tommy rich | 1 | 4 row 46 : 46 | rhino | 1 | 2 row 47 : 47 | shane douglas | 1 | <1 | col : count ( "*" ) row 1 : 1 | select count ( * ) where wrestler = 'buddy rogers' <table_name> : table \begin{tabular}{lllll}
\toprule
& rank & wrestler & no. of reigns & combined days \\
\midrule
0 & 1 & lou thesz & 3 & 3749 \\
1 & 2 & ric flair & 8 & 3103 \\
2 & 3 & harley race & 7 & 1799 \\
3 & 4 & dory funk, jr & 1 & 1563 \\
4 & 5 & dan severn & 2 & 1559 \\
5 & 6 & gene kiniski & 1 & 1131 \\
6 & 7 & adam pearce & 5 & 1078 \\
7 & 8 & jeff jarrett & 6 & 1006 \\
8 & 9 & pat o'connor & 1 & 903 \\
9 & 10 & jack brisco & 2 & 866 \\
10 & 11 & orville brown & 1 & 692 \\
11 & 12 & buddy rogers & 1 & 573 \\
12 & 13 & blue demon, jr & 1 & 505 \\
13 & 14 & naoya ogawa & 2 & 469 \\
14 & 15 & terry funk & 1 & 424 \\
15 & 16 & dick hutton & 1 & 421 \\
16 & 17 & rob conway & 1 & 294 \\
17 & 18 & christian cage & 2 & 245 \\
18 & 19 & whipper billy watson & 1 & 239 \\
19 & 20 & sting & 2 & 216 \\
20 & 21 & a.j. styles & 3 & 196 \\
21 & 22 & mike rapada & 2 & 176 \\
22 & 23 & steve corino & 1 & 175 \\
23 & 24 & colt cabana & 2 & 152 \\
24 & 25 & barry windham & 1 & 147 \\
25 & 26 & masahiro chono & 1 & 145 \\
26 & 27 & kahagas & 1 & 134 \\
27 & 28 & ron killings & 2 & 119 \\
28 & 29 & dusty rhodes & 3 & 107 \\
29 & 30 & chris candido & 1 & 97 \\
30 & 31 & raven & 1 & 88 \\
31 & 32 & satoshi kojima & 1 & 159 \\
32 & 33 & shinya hashimoto & 1 & 84 \\
33 & 34 & the sheik & 1 & 79 \\
34 & 35 & ricky steamboat & 1 & 76 \\
35 & 36 & ron garvin & 1 & 62 \\
36 & 37 & abyss & 1 & 56 \\
37 & 39 & ken shamrock & 1 & 49 \\
38 & 39 & brent albright & 1 & 49 \\
39 & 40 & the great muta & 1 & 48 \\
40 & 41 & sabu & 1 & 38 \\
41 & 42 & giant baba & 3 & 19 \\
42 & 43 & kerry von erich & 1 & 18 \\
43 & 44 & gary steele & 1 & 7 \\
44 & 45 & tommy rich & 1 & 4 \\
45 & 46 & rhino & 1 & 2 \\
46 & 47 & shane douglas & 1 & <1 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( * ) where wrestler = 'buddy rogers' <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 days</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>lou thesz</td>
<td>3</td>
<td>3749</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>ric flair</td>
<td>8</td>
<td>3103</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>harley race</td>
<td>7</td>
<td>1799</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>dory funk, jr</td>
<td>1</td>
<td>1563</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>dan severn</td>
<td>2</td>
<td>1559</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>gene kiniski</td>
<td>1</td>
<td>1131</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>adam pearce</td>
<td>5</td>
<td>1078</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>jeff jarrett</td>
<td>6</td>
<td>1006</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>pat o'connor</td>
<td>1</td>
<td>903</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>jack brisco</td>
<td>2</td>
<td>866</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>orville brown</td>
<td>1</td>
<td>692</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>buddy rogers</td>
<td>1</td>
<td>573</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>blue demon, jr</td>
<td>1</td>
<td>505</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>naoya ogawa</td>
<td>2</td>
<td>469</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>terry funk</td>
<td>1</td>
<td>424</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>dick hutton</td>
<td>1</td>
<td>421</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>rob conway</td>
<td>1</td>
<td>294</td>
</tr>
<tr>
<th>17</th>
<td>18</td>
<td>christian cage</td>
<td>2</td>
<td>245</td>
</tr>
<tr>
<th>18</th>
<td>19</td>
<td>whipper billy watson</td>
<td>1</td>
<td>239</td>
</tr>
<tr>
<th>19</th>
<td>20</td>
<td>sting</td>
<td>2</td>
<td>216</td>
</tr>
<tr>
<th>20</th>
<td>21</td>
<td>a.j. styles</td>
<td>3</td>
<td>196</td>
</tr>
<tr>
<th>21</th>
<td>22</td>
<td>mike rapada</td>
<td>2</td>
<td>176</td>
</tr>
<tr>
<th>22</th>
<td>23</td>
<td>steve corino</td>
<td>1</td>
<td>175</td>
</tr>
<tr>
<th>23</th>
<td>24</td>
<td>colt cabana</td>
<td>2</td>
<td>152</td>
</tr>
<tr>
<th>24</th>
<td>25</td>
<td>barry windham</td>
<td>1</td>
<td>147</td>
</tr>
<tr>
<th>25</th>
<td>26</td>
<td>masahiro chono</td>
<td>1</td>
<td>145</td>
</tr>
<tr>
<th>26</th>
<td>27</td>
<td>kahagas</td>
<td>1</td>
<td>134</td>
</tr>
<tr>
<th>27</th>
<td>28</td>
<td>ron killings</td>
<td>2</td>
<td>119</td>
</tr>
<tr>
<th>28</th>
<td>29</td>
<td>dusty rhodes</td>
<td>3</td>
<td>107</td>
</tr>
<tr>
<th>29</th>
<td>30</td>
<td>chris candido</td>
<td>1</td>
<td>97</td>
</tr>
<tr>
<th>30</th>
<td>31</td>
<td>raven</td>
<td>1</td>
<td>88</td>
</tr>
<tr>
<th>31</th>
<td>32</td>
<td>satoshi kojima</td>
<td>1</td>
<td>159</td>
</tr>
<tr>
<th>32</th>
<td>33</td>
<td>shinya hashimoto</td>
<td>1</td>
<td>84</td>
</tr>
<tr>
<th>33</th>
<td>34</td>
<td>the sheik</td>
<td>1</td>
<td>79</td>
</tr>
<tr>
<th>34</th>
<td>35</td>
<td>ricky steamboat</td>
<td>1</td>
<td>76</td>
</tr>
<tr>
<th>35</th>
<td>36</td>
<td>ron garvin</td>
<td>1</td>
<td>62</td>
</tr>
<tr>
<th>36</th>
<td>37</td>
<td>abyss</td>
<td>1</td>
<td>56</td>
</tr>
<tr>
<th>37</th>
<td>39</td>
<td>ken shamrock</td>
<td>1</td>
<td>49</td>
</tr>
<tr>
<th>38</th>
<td>39</td>
<td>brent albright</td>
<td>1</td>
<td>49</td>
</tr>
<tr>
<th>39</th>
<td>40</td>
<td>the great muta</td>
<td>1</td>
<td>48</td>
</tr>
<tr>
<th>40</th>
<td>41</td>
<td>sabu</td>
<td>1</td>
<td>38</td>
</tr>
<tr>
<th>41</th>
<td>42</td>
<td>giant baba</td>
<td>3</td>
<td>19</td>
</tr>
<tr>
<th>42</th>
<td>43</td>
<td>kerry von erich</td>
<td>1</td>
<td>18</td>
</tr>
<tr>
<th>43</th>
<td>44</td>
<td>gary steele</td>
<td>1</td>
<td>7</td>
</tr>
<tr>
<th>44</th>
<td>45</td>
<td>tommy rich</td>
<td>1</td>
<td>4</td>
</tr>
<tr>
<th>45</th>
<td>46</td>
<td>rhino</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<th>46</th>
<td>47</td>
<td>shane douglas</td>
<td>1</td>
<td><1</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 wrestler = 'buddy rogers' <table_name> : table | | rank | wrestler | no. of reigns | combined days |
|---:|-------:|:---------------------|----------------:|:----------------|
| 0 | 1 | lou thesz | 3 | 3749 |
| 1 | 2 | ric flair | 8 | 3103 |
| 2 | 3 | harley race | 7 | 1799 |
| 3 | 4 | dory funk, jr | 1 | 1563 |
| 4 | 5 | dan severn | 2 | 1559 |
| 5 | 6 | gene kiniski | 1 | 1131 |
| 6 | 7 | adam pearce | 5 | 1078 |
| 7 | 8 | jeff jarrett | 6 | 1006 |
| 8 | 9 | pat o'connor | 1 | 903 |
| 9 | 10 | jack brisco | 2 | 866 |
| 10 | 11 | orville brown | 1 | 692 |
| 11 | 12 | buddy rogers | 1 | 573 |
| 12 | 13 | blue demon, jr | 1 | 505 |
| 13 | 14 | naoya ogawa | 2 | 469 |
| 14 | 15 | terry funk | 1 | 424 |
| 15 | 16 | dick hutton | 1 | 421 |
| 16 | 17 | rob conway | 1 | 294 |
| 17 | 18 | christian cage | 2 | 245 |
| 18 | 19 | whipper billy watson | 1 | 239 |
| 19 | 20 | sting | 2 | 216 |
| 20 | 21 | a.j. styles | 3 | 196 |
| 21 | 22 | mike rapada | 2 | 176 |
| 22 | 23 | steve corino | 1 | 175 |
| 23 | 24 | colt cabana | 2 | 152 |
| 24 | 25 | barry windham | 1 | 147 |
| 25 | 26 | masahiro chono | 1 | 145 |
| 26 | 27 | kahagas | 1 | 134 |
| 27 | 28 | ron killings | 2 | 119 |
| 28 | 29 | dusty rhodes | 3 | 107 |
| 29 | 30 | chris candido | 1 | 97 |
| 30 | 31 | raven | 1 | 88 |
| 31 | 32 | satoshi kojima | 1 | 159 |
| 32 | 33 | shinya hashimoto | 1 | 84 |
| 33 | 34 | the sheik | 1 | 79 |
| 34 | 35 | ricky steamboat | 1 | 76 |
| 35 | 36 | ron garvin | 1 | 62 |
| 36 | 37 | abyss | 1 | 56 |
| 37 | 39 | ken shamrock | 1 | 49 |
| 38 | 39 | brent albright | 1 | 49 |
| 39 | 40 | the great muta | 1 | 48 |
| 40 | 41 | sabu | 1 | 38 |
| 41 | 42 | giant baba | 3 | 19 |
| 42 | 43 | kerry von erich | 1 | 18 |
| 43 | 44 | gary steele | 1 | 7 |
| 44 | 45 | tommy rich | 1 | 4 |
| 45 | 46 | rhino | 1 | 2 |
| 46 | 47 | shane douglas | 1 | <1 | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 1 | | [
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select language where film = 'jilla' order by year asc limit 1166 col : year | film | role | language | notes row 1 : 2004 | kyun! ho gaya na | diya's sister | hindi | none row 2 : 2007 | lakshmi kalyanam | lakshmi | telugu | none row 3 : 2007 | chandamama | mahalakshmi | telugu | none row 4 : 2008 | pourudu | samyukhta | telugu | none row 5 : 2008 | pazhani | deepti | tamil | none row 6 : 2008 | aatadista | sunnanda | telugu | none row 7 : 2008 | saroja | pooja | tamil | cameo appearance row 8 : 2008 | bommalattam | anitha | tamil | none row 9 : 2009 | modhi vilayadu | easwari lakshmiram | tamil | none row 10 : 2009 | magadheera | yuvarani mithravindha devi indira (indu) | telugu | dual role nominated- filmfare award for best actress - telugu row 11 : 2009 | ganesh just ganesh | divya | telugu | none row 12 : 2009 | arya 2 | geethanjali | telugu | none row 13 : 2010 | om shanti | meghana | telugu | none row 14 : 2010 | darling | nandini | telugu | nominated- filmfare award for best actress - telugu row 15 : 2010 | naan mahaan alla | priya sudharsan | tamil | none row 16 : 2010 | brindaavanam | bhoomi | telugu | cinemaa award for best actress (telugu) row 17 : 2011 | mr. perfect | priya | telugu | nominated- filmfare award for best actress - telugu row 18 : 2011 | veera | chitti | telugu | none row 19 : 2011 | singham | kavya bhosle | hindi | nominated- filmfare award for best female debut row 20 : 2011 | dhada | rhea | telugu | none row 21 : 2012 | businessman | chitra | telugu | none row 22 : 2012 | maattrraan | anjali | tamil | none row 23 : 2012 | thuppakki | nisha | tamil | cinemaa award for best actress (tamil) row 24 : 2012 | sarocharu | sandhya | telugu | none row 25 : 2013 | naayak | madhu | telugu | none row 26 : 2013 | special 26 | priya chauhan | hindi | none row 27 : 2013 | baadshah | janaki | telugu | none row 28 : 2013 | all in all azhagu raja | chitra devi priya | tamil | none row 29 : 2014 | jilla | shanthi | tamil | none row 30 : 2014 | yevadu | deepthi | telugu | special appearance row 31 : 2014 | govindudu andarivadele | none | telugu | filming row 32 : 2014 | 'untitled balaji mohan project | none | tamil | pre-production | col : language row 1 : tamil | select language where film = 'jilla' order by year asc limit 1166 <table_name> : table \begin{tabular}{llllll}
\toprule
& year & film & role & language & notes \\
\midrule
0 & 2004 & kyun! ho gaya na & diya's sister & hindi & none \\
1 & 2007 & lakshmi kalyanam & lakshmi & telugu & none \\
2 & 2007 & chandamama & mahalakshmi & telugu & none \\
3 & 2008 & pourudu & samyukhta & telugu & none \\
4 & 2008 & pazhani & deepti & tamil & none \\
5 & 2008 & aatadista & sunnanda & telugu & none \\
6 & 2008 & saroja & pooja & tamil & cameo appearance \\
7 & 2008 & bommalattam & anitha & tamil & none \\
8 & 2009 & modhi vilayadu & easwari lakshmiram & tamil & none \\
9 & 2009 & magadheera & yuvarani mithravindha devi indira (indu) & telugu & dual role nominated- filmfare award for best actress - telugu \\
10 & 2009 & ganesh just ganesh & divya & telugu & none \\
11 & 2009 & arya 2 & geethanjali & telugu & none \\
12 & 2010 & om shanti & meghana & telugu & none \\
13 & 2010 & darling & nandini & telugu & nominated- filmfare award for best actress - telugu \\
14 & 2010 & naan mahaan alla & priya sudharsan & tamil & none \\
15 & 2010 & brindaavanam & bhoomi & telugu & cinemaa award for best actress (telugu) \\
16 & 2011 & mr. perfect & priya & telugu & nominated- filmfare award for best actress - telugu \\
17 & 2011 & veera & chitti & telugu & none \\
18 & 2011 & singham & kavya bhosle & hindi & nominated- filmfare award for best female debut \\
19 & 2011 & dhada & rhea & telugu & none \\
20 & 2012 & businessman & chitra & telugu & none \\
21 & 2012 & maattrraan & anjali & tamil & none \\
22 & 2012 & thuppakki & nisha & tamil & cinemaa award for best actress (tamil) \\
23 & 2012 & sarocharu & sandhya & telugu & none \\
24 & 2013 & naayak & madhu & telugu & none \\
25 & 2013 & special 26 & priya chauhan & hindi & none \\
26 & 2013 & baadshah & janaki & telugu & none \\
27 & 2013 & all in all azhagu raja & chitra devi priya & tamil & none \\
28 & 2014 & jilla & shanthi & tamil & none \\
29 & 2014 & yevadu & deepthi & telugu & special appearance \\
30 & 2014 & govindudu andarivadele & none & telugu & filming \\
31 & 2014 & 'untitled balaji mohan project & none & tamil & pre-production \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& language \\
\midrule
0 & tamil \\
\bottomrule
\end{tabular}
| select language where film = 'jilla' order by year asc limit 1166 <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>2004</td>
<td>kyun! ho gaya na</td>
<td>diya's sister</td>
<td>hindi</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>2007</td>
<td>lakshmi kalyanam</td>
<td>lakshmi</td>
<td>telugu</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>2007</td>
<td>chandamama</td>
<td>mahalakshmi</td>
<td>telugu</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>2008</td>
<td>pourudu</td>
<td>samyukhta</td>
<td>telugu</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>2008</td>
<td>pazhani</td>
<td>deepti</td>
<td>tamil</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>2008</td>
<td>aatadista</td>
<td>sunnanda</td>
<td>telugu</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>2008</td>
<td>saroja</td>
<td>pooja</td>
<td>tamil</td>
<td>cameo appearance</td>
</tr>
<tr>
<th>7</th>
<td>2008</td>
<td>bommalattam</td>
<td>anitha</td>
<td>tamil</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>2009</td>
<td>modhi vilayadu</td>
<td>easwari lakshmiram</td>
<td>tamil</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>2009</td>
<td>magadheera</td>
<td>yuvarani mithravindha devi indira (indu)</td>
<td>telugu</td>
<td>dual role nominated- filmfare award for best actress - telugu</td>
</tr>
<tr>
<th>10</th>
<td>2009</td>
<td>ganesh just ganesh</td>
<td>divya</td>
<td>telugu</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>2009</td>
<td>arya 2</td>
<td>geethanjali</td>
<td>telugu</td>
<td>none</td>
</tr>
<tr>
<th>12</th>
<td>2010</td>
<td>om shanti</td>
<td>meghana</td>
<td>telugu</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>2010</td>
<td>darling</td>
<td>nandini</td>
<td>telugu</td>
<td>nominated- filmfare award for best actress - telugu</td>
</tr>
<tr>
<th>14</th>
<td>2010</td>
<td>naan mahaan alla</td>
<td>priya sudharsan</td>
<td>tamil</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>2010</td>
<td>brindaavanam</td>
<td>bhoomi</td>
<td>telugu</td>
<td>cinemaa award for best actress (telugu)</td>
</tr>
<tr>
<th>16</th>
<td>2011</td>
<td>mr. perfect</td>
<td>priya</td>
<td>telugu</td>
<td>nominated- filmfare award for best actress - telugu</td>
</tr>
<tr>
<th>17</th>
<td>2011</td>
<td>veera</td>
<td>chitti</td>
<td>telugu</td>
<td>none</td>
</tr>
<tr>
<th>18</th>
<td>2011</td>
<td>singham</td>
<td>kavya bhosle</td>
<td>hindi</td>
<td>nominated- filmfare award for best female debut</td>
</tr>
<tr>
<th>19</th>
<td>2011</td>
<td>dhada</td>
<td>rhea</td>
<td>telugu</td>
<td>none</td>
</tr>
<tr>
<th>20</th>
<td>2012</td>
<td>businessman</td>
<td>chitra</td>
<td>telugu</td>
<td>none</td>
</tr>
<tr>
<th>21</th>
<td>2012</td>
<td>maattrraan</td>
<td>anjali</td>
<td>tamil</td>
<td>none</td>
</tr>
<tr>
<th>22</th>
<td>2012</td>
<td>thuppakki</td>
<td>nisha</td>
<td>tamil</td>
<td>cinemaa award for best actress (tamil)</td>
</tr>
<tr>
<th>23</th>
<td>2012</td>
<td>sarocharu</td>
<td>sandhya</td>
<td>telugu</td>
<td>none</td>
</tr>
<tr>
<th>24</th>
<td>2013</td>
<td>naayak</td>
<td>madhu</td>
<td>telugu</td>
<td>none</td>
</tr>
<tr>
<th>25</th>
<td>2013</td>
<td>special 26</td>
<td>priya chauhan</td>
<td>hindi</td>
<td>none</td>
</tr>
<tr>
<th>26</th>
<td>2013</td>
<td>baadshah</td>
<td>janaki</td>
<td>telugu</td>
<td>none</td>
</tr>
<tr>
<th>27</th>
<td>2013</td>
<td>all in all azhagu raja</td>
<td>chitra devi priya</td>
<td>tamil</td>
<td>none</td>
</tr>
<tr>
<th>28</th>
<td>2014</td>
<td>jilla</td>
<td>shanthi</td>
<td>tamil</td>
<td>none</td>
</tr>
<tr>
<th>29</th>
<td>2014</td>
<td>yevadu</td>
<td>deepthi</td>
<td>telugu</td>
<td>special appearance</td>
</tr>
<tr>
<th>30</th>
<td>2014</td>
<td>govindudu andarivadele</td>
<td>none</td>
<td>telugu</td>
<td>filming</td>
</tr>
<tr>
<th>31</th>
<td>2014</td>
<td>'untitled balaji mohan project</td>
<td>none</td>
<td>tamil</td>
<td>pre-production</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>
</tbody>
</table> | select language where film = 'jilla' order by year asc limit 1166 <table_name> : table | | year | film | role | language | notes |
|---:|-------:|:-------------------------------|:-----------------------------------------|:-----------|:--------------------------------------------------------------|
| 0 | 2004 | kyun! ho gaya na | diya's sister | hindi | none |
| 1 | 2007 | lakshmi kalyanam | lakshmi | telugu | none |
| 2 | 2007 | chandamama | mahalakshmi | telugu | none |
| 3 | 2008 | pourudu | samyukhta | telugu | none |
| 4 | 2008 | pazhani | deepti | tamil | none |
| 5 | 2008 | aatadista | sunnanda | telugu | none |
| 6 | 2008 | saroja | pooja | tamil | cameo appearance |
| 7 | 2008 | bommalattam | anitha | tamil | none |
| 8 | 2009 | modhi vilayadu | easwari lakshmiram | tamil | none |
| 9 | 2009 | magadheera | yuvarani mithravindha devi indira (indu) | telugu | dual role nominated- filmfare award for best actress - telugu |
| 10 | 2009 | ganesh just ganesh | divya | telugu | none |
| 11 | 2009 | arya 2 | geethanjali | telugu | none |
| 12 | 2010 | om shanti | meghana | telugu | none |
| 13 | 2010 | darling | nandini | telugu | nominated- filmfare award for best actress - telugu |
| 14 | 2010 | naan mahaan alla | priya sudharsan | tamil | none |
| 15 | 2010 | brindaavanam | bhoomi | telugu | cinemaa award for best actress (telugu) |
| 16 | 2011 | mr. perfect | priya | telugu | nominated- filmfare award for best actress - telugu |
| 17 | 2011 | veera | chitti | telugu | none |
| 18 | 2011 | singham | kavya bhosle | hindi | nominated- filmfare award for best female debut |
| 19 | 2011 | dhada | rhea | telugu | none |
| 20 | 2012 | businessman | chitra | telugu | none |
| 21 | 2012 | maattrraan | anjali | tamil | none |
| 22 | 2012 | thuppakki | nisha | tamil | cinemaa award for best actress (tamil) |
| 23 | 2012 | sarocharu | sandhya | telugu | none |
| 24 | 2013 | naayak | madhu | telugu | none |
| 25 | 2013 | special 26 | priya chauhan | hindi | none |
| 26 | 2013 | baadshah | janaki | telugu | none |
| 27 | 2013 | all in all azhagu raja | chitra devi priya | tamil | none |
| 28 | 2014 | jilla | shanthi | tamil | none |
| 29 | 2014 | yevadu | deepthi | telugu | special appearance |
| 30 | 2014 | govindudu andarivadele | none | telugu | filming |
| 31 | 2014 | 'untitled balaji mohan project | none | tamil | pre-production | | | | language |
|---:|:-----------|
| 0 | tamil | | [
[
1,
4025,
2653,
1625,
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select uci protour points where cyclist = 'paolo bettini (ita)' col : rank | cyclist | team | time | uci protour points row 1 : 1 | alejandro valverde (esp) | caisse d'epargne | 5h 29' 10" | 40 row 2 : 2 | alexandr kolobnev (rus) | team csc saxo bank | s.t | 30 row 3 : 3 | davide rebellin (ita) | gerolsteiner | s.t | 25 row 4 : 4 | paolo bettini (ita) | quick step | s.t | 20 row 5 : 5 | franco pellizotti (ita) | liquigas | s.t | 15 row 6 : 6 | denis menchov (rus) | rabobank | s.t | 11 row 7 : 7 | samuel sanchez (esp) | euskaltel-euskadi | s.t | 7 row 8 : 8 | stephane goubert (fra) | ag2r-la mondiale | + 2" | 5 row 9 : 9 | haimar zubeldia (esp) | euskaltel-euskadi | + 2" | 3 row 10 : 10 | david moncoutie (fra) | cofidis | + 2" | 1 | col : uci protour points row 1 : 20 | select uci protour points where cyclist = 'paolo bettini (ita)' <table_name> : table \begin{tabular}{llllll}
\toprule
& rank & cyclist & team & time & uci protour points \\
\midrule
0 & 1 & alejandro valverde (esp) & caisse d'epargne & 5h 29' 10" & 40 \\
1 & 2 & alexandr kolobnev (rus) & team csc saxo bank & s.t & 30 \\
2 & 3 & davide rebellin (ita) & gerolsteiner & s.t & 25 \\
3 & 4 & paolo bettini (ita) & quick step & s.t & 20 \\
4 & 5 & franco pellizotti (ita) & liquigas & s.t & 15 \\
5 & 6 & denis menchov (rus) & rabobank & s.t & 11 \\
6 & 7 & samuel sanchez (esp) & euskaltel-euskadi & s.t & 7 \\
7 & 8 & stephane goubert (fra) & ag2r-la mondiale & + 2" & 5 \\
8 & 9 & haimar zubeldia (esp) & euskaltel-euskadi & + 2" & 3 \\
9 & 10 & david moncoutie (fra) & cofidis & + 2" & 1 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& uci protour points \\
\midrule
0 & 20 \\
\bottomrule
\end{tabular}
| select uci protour points where cyclist = 'paolo bettini (ita)' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>cyclist</th>
<th>team</th>
<th>time</th>
<th>uci protour points</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>alejandro valverde (esp)</td>
<td>caisse d'epargne</td>
<td>5h 29' 10"</td>
<td>40</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>alexandr kolobnev (rus)</td>
<td>team csc saxo bank</td>
<td>s.t</td>
<td>30</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>davide rebellin (ita)</td>
<td>gerolsteiner</td>
<td>s.t</td>
<td>25</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>paolo bettini (ita)</td>
<td>quick step</td>
<td>s.t</td>
<td>20</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>franco pellizotti (ita)</td>
<td>liquigas</td>
<td>s.t</td>
<td>15</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>denis menchov (rus)</td>
<td>rabobank</td>
<td>s.t</td>
<td>11</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>samuel sanchez (esp)</td>
<td>euskaltel-euskadi</td>
<td>s.t</td>
<td>7</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>stephane goubert (fra)</td>
<td>ag2r-la mondiale</td>
<td>+ 2"</td>
<td>5</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>haimar zubeldia (esp)</td>
<td>euskaltel-euskadi</td>
<td>+ 2"</td>
<td>3</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>david moncoutie (fra)</td>
<td>cofidis</td>
<td>+ 2"</td>
<td>1</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>uci protour points</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>20</td>
</tr>
</tbody>
</table> | select uci protour points where cyclist = 'paolo bettini (ita)' <table_name> : table | | rank | cyclist | team | time | uci protour points |
|---:|-------:|:-------------------------|:-------------------|:-----------|---------------------:|
| 0 | 1 | alejandro valverde (esp) | caisse d'epargne | 5h 29' 10" | 40 |
| 1 | 2 | alexandr kolobnev (rus) | team csc saxo bank | s.t | 30 |
| 2 | 3 | davide rebellin (ita) | gerolsteiner | s.t | 25 |
| 3 | 4 | paolo bettini (ita) | quick step | s.t | 20 |
| 4 | 5 | franco pellizotti (ita) | liquigas | s.t | 15 |
| 5 | 6 | denis menchov (rus) | rabobank | s.t | 11 |
| 6 | 7 | samuel sanchez (esp) | euskaltel-euskadi | s.t | 7 |
| 7 | 8 | stephane goubert (fra) | ag2r-la mondiale | + 2" | 5 |
| 8 | 9 | haimar zubeldia (esp) | euskaltel-euskadi | + 2" | 3 |
| 9 | 10 | david moncoutie (fra) | cofidis | + 2" | 1 | | | | uci protour points |
|---:|---------------------:|
| 0 | 20 | | [
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] |
select count ( title ) where no. in series > 0 col : no. in series | no. in season | title | directed by | written by | original air date | production code row 1 : 125 | 1 | "burnin' down the house" | madeline cripe | joel madison & adam markowitz | september 18, 1995 | 60101 row 2 : 126 | 2 | "get a job" | shelley jensen | mort scrivner | september 25, 1995 | 60102 row 3 : 127 | 3 | "stress related" | shelley jensen | larry wilmore | october 2, 1995 | 60103 row 4 : 128 | 4 | "bourgie sings the blues" | shelley jensen | tom devanney | october 9, 1995 | 60104 row 5 : 129 | 5 | "the script formerly known as..." | shelley jensen | felicia d. henderson | october 16, 1995 | 60105 row 6 : 130 | 6 | "not i barbecue" | madeline cripe | matt tarses & kandace yvette williams | october 23, 1995 | 60106 row 7 : 131 | 7 | "not with my cousin you don't" | shelley jensen | adam markowitz | november 6, 1995 | 60107 row 8 : 132 | 8 | "viva lost wages" | shelley jensen | robert bruce | november 13, 1995 | 60108 row 9 : 133 | 9 | "there's the rub" (part 1) | shelley jensen | joel madison | november 20, 1995 | 60109 row 10 : 134 | 10 | "there's the rub" (part 2) | shelley jensen | joel madison | november 20, 1995 | 60110 row 11 : 135 | 11 | "i, ooh, baby, baby" | alfonso ribeiro | adam markowitz & tom devanney | december 11, 1995 | 60111 row 12 : 136 | 12 | "boxing helena" | shelley jensen | michael soccio | january 8, 1996 | 60112 row 13 : 137 | 13 | "i, clownius" | shelley jensen | story: david wyatt teleplay: george tricker | january 15, 1996 | 60115 row 14 : 138 | 14 | "breaking up is hard to do" (part 1) | shelley jensen | lisa rosenthal | february 12, 1996 | 60113 row 15 : 139 | 15 | "breaking up is hard to do" (part 2) | shelley jensen | lisa rosenthal | february 19, 1996 | 60114 row 16 : 140 | 16 | "i, bowl buster" | shelley jensen | michael soccio | february 26, 1996 | 60117 row 17 : 141 | 17 | "the butler's son did it" | madeline cripe | lisa rosenthal | march 18, 1996 | 60116 row 18 : 142 | 18 | "hare today..." | shelley jensen | robert bruce | april 8, 1996 | 60119 row 19 : 143 | 19 | "i, whoops, there it is" | shelley jensen | tanya ward & mary beth pemberton | april 15, 1996 | 60124 row 20 : 144 | 20 | "i, stank horse" | shelley jensen | tom devanney | april 22, 1996 | 60120 row 21 : 145 | 21 | "i, stank hole in one" | werner walian | matt tarses & michael soccio | may 6, 1996 | 60121 row 22 : 146 | 22 | "eye, tooth" | shelley jensen | adam markowitz | may 13, 1996 | 60118 row 23 : 147 | 23 | "i, done" (part 1) | shelley jensen | jeff pollack | may 20, 1996 | 60122 row 24 : 148 | 24 | "i, done" (part 2) | werner walian | jeff pollack | may 20, 1996 | 60123 | col : count ( "title" ) row 1 : 24 | select count ( title ) where no. in series > 0 <table_name> : table \begin{tabular}{llllllll}
\toprule
& no. in series & no. in season & title & directed by & written by & original air date & production code \\
\midrule
0 & 125 & 1 & "burnin' down the house" & madeline cripe & joel madison & adam markowitz & september 18, 1995 & 60101 \\
1 & 126 & 2 & "get a job" & shelley jensen & mort scrivner & september 25, 1995 & 60102 \\
2 & 127 & 3 & "stress related" & shelley jensen & larry wilmore & october 2, 1995 & 60103 \\
3 & 128 & 4 & "bourgie sings the blues" & shelley jensen & tom devanney & october 9, 1995 & 60104 \\
4 & 129 & 5 & "the script formerly known as..." & shelley jensen & felicia d. henderson & october 16, 1995 & 60105 \\
5 & 130 & 6 & "not i barbecue" & madeline cripe & matt tarses & kandace yvette williams & october 23, 1995 & 60106 \\
6 & 131 & 7 & "not with my cousin you don't" & shelley jensen & adam markowitz & november 6, 1995 & 60107 \\
7 & 132 & 8 & "viva lost wages" & shelley jensen & robert bruce & november 13, 1995 & 60108 \\
8 & 133 & 9 & "there's the rub" (part 1) & shelley jensen & joel madison & november 20, 1995 & 60109 \\
9 & 134 & 10 & "there's the rub" (part 2) & shelley jensen & joel madison & november 20, 1995 & 60110 \\
10 & 135 & 11 & "i, ooh, baby, baby" & alfonso ribeiro & adam markowitz & tom devanney & december 11, 1995 & 60111 \\
11 & 136 & 12 & "boxing helena" & shelley jensen & michael soccio & january 8, 1996 & 60112 \\
12 & 137 & 13 & "i, clownius" & shelley jensen & story: david wyatt teleplay: george tricker & january 15, 1996 & 60115 \\
13 & 138 & 14 & "breaking up is hard to do" (part 1) & shelley jensen & lisa rosenthal & february 12, 1996 & 60113 \\
14 & 139 & 15 & "breaking up is hard to do" (part 2) & shelley jensen & lisa rosenthal & february 19, 1996 & 60114 \\
15 & 140 & 16 & "i, bowl buster" & shelley jensen & michael soccio & february 26, 1996 & 60117 \\
16 & 141 & 17 & "the butler's son did it" & madeline cripe & lisa rosenthal & march 18, 1996 & 60116 \\
17 & 142 & 18 & "hare today..." & shelley jensen & robert bruce & april 8, 1996 & 60119 \\
18 & 143 & 19 & "i, whoops, there it is" & shelley jensen & tanya ward & mary beth pemberton & april 15, 1996 & 60124 \\
19 & 144 & 20 & "i, stank horse" & shelley jensen & tom devanney & april 22, 1996 & 60120 \\
20 & 145 & 21 & "i, stank hole in one" & werner walian & matt tarses & michael soccio & may 6, 1996 & 60121 \\
21 & 146 & 22 & "eye, tooth" & shelley jensen & adam markowitz & may 13, 1996 & 60118 \\
22 & 147 & 23 & "i, done" (part 1) & shelley jensen & jeff pollack & may 20, 1996 & 60122 \\
23 & 148 & 24 & "i, done" (part 2) & werner walian & jeff pollack & may 20, 1996 & 60123 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "title" ) \\
\midrule
0 & 24 \\
\bottomrule
\end{tabular}
| select count ( title ) where no. in series > 0 <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>title</th>
<th>directed by</th>
<th>written by</th>
<th>original air date</th>
<th>production code</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>125</td>
<td>1</td>
<td>"burnin' down the house"</td>
<td>madeline cripe</td>
<td>joel madison & adam markowitz</td>
<td>september 18, 1995</td>
<td>60101</td>
</tr>
<tr>
<th>1</th>
<td>126</td>
<td>2</td>
<td>"get a job"</td>
<td>shelley jensen</td>
<td>mort scrivner</td>
<td>september 25, 1995</td>
<td>60102</td>
</tr>
<tr>
<th>2</th>
<td>127</td>
<td>3</td>
<td>"stress related"</td>
<td>shelley jensen</td>
<td>larry wilmore</td>
<td>october 2, 1995</td>
<td>60103</td>
</tr>
<tr>
<th>3</th>
<td>128</td>
<td>4</td>
<td>"bourgie sings the blues"</td>
<td>shelley jensen</td>
<td>tom devanney</td>
<td>october 9, 1995</td>
<td>60104</td>
</tr>
<tr>
<th>4</th>
<td>129</td>
<td>5</td>
<td>"the script formerly known as..."</td>
<td>shelley jensen</td>
<td>felicia d. henderson</td>
<td>october 16, 1995</td>
<td>60105</td>
</tr>
<tr>
<th>5</th>
<td>130</td>
<td>6</td>
<td>"not i barbecue"</td>
<td>madeline cripe</td>
<td>matt tarses & kandace yvette williams</td>
<td>october 23, 1995</td>
<td>60106</td>
</tr>
<tr>
<th>6</th>
<td>131</td>
<td>7</td>
<td>"not with my cousin you don't"</td>
<td>shelley jensen</td>
<td>adam markowitz</td>
<td>november 6, 1995</td>
<td>60107</td>
</tr>
<tr>
<th>7</th>
<td>132</td>
<td>8</td>
<td>"viva lost wages"</td>
<td>shelley jensen</td>
<td>robert bruce</td>
<td>november 13, 1995</td>
<td>60108</td>
</tr>
<tr>
<th>8</th>
<td>133</td>
<td>9</td>
<td>"there's the rub" (part 1)</td>
<td>shelley jensen</td>
<td>joel madison</td>
<td>november 20, 1995</td>
<td>60109</td>
</tr>
<tr>
<th>9</th>
<td>134</td>
<td>10</td>
<td>"there's the rub" (part 2)</td>
<td>shelley jensen</td>
<td>joel madison</td>
<td>november 20, 1995</td>
<td>60110</td>
</tr>
<tr>
<th>10</th>
<td>135</td>
<td>11</td>
<td>"i, ooh, baby, baby"</td>
<td>alfonso ribeiro</td>
<td>adam markowitz & tom devanney</td>
<td>december 11, 1995</td>
<td>60111</td>
</tr>
<tr>
<th>11</th>
<td>136</td>
<td>12</td>
<td>"boxing helena"</td>
<td>shelley jensen</td>
<td>michael soccio</td>
<td>january 8, 1996</td>
<td>60112</td>
</tr>
<tr>
<th>12</th>
<td>137</td>
<td>13</td>
<td>"i, clownius"</td>
<td>shelley jensen</td>
<td>story: david wyatt teleplay: george tricker</td>
<td>january 15, 1996</td>
<td>60115</td>
</tr>
<tr>
<th>13</th>
<td>138</td>
<td>14</td>
<td>"breaking up is hard to do" (part 1)</td>
<td>shelley jensen</td>
<td>lisa rosenthal</td>
<td>february 12, 1996</td>
<td>60113</td>
</tr>
<tr>
<th>14</th>
<td>139</td>
<td>15</td>
<td>"breaking up is hard to do" (part 2)</td>
<td>shelley jensen</td>
<td>lisa rosenthal</td>
<td>february 19, 1996</td>
<td>60114</td>
</tr>
<tr>
<th>15</th>
<td>140</td>
<td>16</td>
<td>"i, bowl buster"</td>
<td>shelley jensen</td>
<td>michael soccio</td>
<td>february 26, 1996</td>
<td>60117</td>
</tr>
<tr>
<th>16</th>
<td>141</td>
<td>17</td>
<td>"the butler's son did it"</td>
<td>madeline cripe</td>
<td>lisa rosenthal</td>
<td>march 18, 1996</td>
<td>60116</td>
</tr>
<tr>
<th>17</th>
<td>142</td>
<td>18</td>
<td>"hare today..."</td>
<td>shelley jensen</td>
<td>robert bruce</td>
<td>april 8, 1996</td>
<td>60119</td>
</tr>
<tr>
<th>18</th>
<td>143</td>
<td>19</td>
<td>"i, whoops, there it is"</td>
<td>shelley jensen</td>
<td>tanya ward & mary beth pemberton</td>
<td>april 15, 1996</td>
<td>60124</td>
</tr>
<tr>
<th>19</th>
<td>144</td>
<td>20</td>
<td>"i, stank horse"</td>
<td>shelley jensen</td>
<td>tom devanney</td>
<td>april 22, 1996</td>
<td>60120</td>
</tr>
<tr>
<th>20</th>
<td>145</td>
<td>21</td>
<td>"i, stank hole in one"</td>
<td>werner walian</td>
<td>matt tarses & michael soccio</td>
<td>may 6, 1996</td>
<td>60121</td>
</tr>
<tr>
<th>21</th>
<td>146</td>
<td>22</td>
<td>"eye, tooth"</td>
<td>shelley jensen</td>
<td>adam markowitz</td>
<td>may 13, 1996</td>
<td>60118</td>
</tr>
<tr>
<th>22</th>
<td>147</td>
<td>23</td>
<td>"i, done" (part 1)</td>
<td>shelley jensen</td>
<td>jeff pollack</td>
<td>may 20, 1996</td>
<td>60122</td>
</tr>
<tr>
<th>23</th>
<td>148</td>
<td>24</td>
<td>"i, done" (part 2)</td>
<td>werner walian</td>
<td>jeff pollack</td>
<td>may 20, 1996</td>
<td>60123</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>24</td>
</tr>
</tbody>
</table> | select count ( title ) where no. in series > 0 <table_name> : table | | no. in series | no. in season | title | directed by | written by | original air date | production code |
|---:|----------------:|----------------:|:-------------------------------------|:----------------|:--------------------------------------------|:--------------------|------------------:|
| 0 | 125 | 1 | "burnin' down the house" | madeline cripe | joel madison & adam markowitz | september 18, 1995 | 60101 |
| 1 | 126 | 2 | "get a job" | shelley jensen | mort scrivner | september 25, 1995 | 60102 |
| 2 | 127 | 3 | "stress related" | shelley jensen | larry wilmore | october 2, 1995 | 60103 |
| 3 | 128 | 4 | "bourgie sings the blues" | shelley jensen | tom devanney | october 9, 1995 | 60104 |
| 4 | 129 | 5 | "the script formerly known as..." | shelley jensen | felicia d. henderson | october 16, 1995 | 60105 |
| 5 | 130 | 6 | "not i barbecue" | madeline cripe | matt tarses & kandace yvette williams | october 23, 1995 | 60106 |
| 6 | 131 | 7 | "not with my cousin you don't" | shelley jensen | adam markowitz | november 6, 1995 | 60107 |
| 7 | 132 | 8 | "viva lost wages" | shelley jensen | robert bruce | november 13, 1995 | 60108 |
| 8 | 133 | 9 | "there's the rub" (part 1) | shelley jensen | joel madison | november 20, 1995 | 60109 |
| 9 | 134 | 10 | "there's the rub" (part 2) | shelley jensen | joel madison | november 20, 1995 | 60110 |
| 10 | 135 | 11 | "i, ooh, baby, baby" | alfonso ribeiro | adam markowitz & tom devanney | december 11, 1995 | 60111 |
| 11 | 136 | 12 | "boxing helena" | shelley jensen | michael soccio | january 8, 1996 | 60112 |
| 12 | 137 | 13 | "i, clownius" | shelley jensen | story: david wyatt teleplay: george tricker | january 15, 1996 | 60115 |
| 13 | 138 | 14 | "breaking up is hard to do" (part 1) | shelley jensen | lisa rosenthal | february 12, 1996 | 60113 |
| 14 | 139 | 15 | "breaking up is hard to do" (part 2) | shelley jensen | lisa rosenthal | february 19, 1996 | 60114 |
| 15 | 140 | 16 | "i, bowl buster" | shelley jensen | michael soccio | february 26, 1996 | 60117 |
| 16 | 141 | 17 | "the butler's son did it" | madeline cripe | lisa rosenthal | march 18, 1996 | 60116 |
| 17 | 142 | 18 | "hare today..." | shelley jensen | robert bruce | april 8, 1996 | 60119 |
| 18 | 143 | 19 | "i, whoops, there it is" | shelley jensen | tanya ward & mary beth pemberton | april 15, 1996 | 60124 |
| 19 | 144 | 20 | "i, stank horse" | shelley jensen | tom devanney | april 22, 1996 | 60120 |
| 20 | 145 | 21 | "i, stank hole in one" | werner walian | matt tarses & michael soccio | may 6, 1996 | 60121 |
| 21 | 146 | 22 | "eye, tooth" | shelley jensen | adam markowitz | may 13, 1996 | 60118 |
| 22 | 147 | 23 | "i, done" (part 1) | shelley jensen | jeff pollack | may 20, 1996 | 60122 |
| 23 | 148 | 24 | "i, done" (part 2) | werner walian | jeff pollack | may 20, 1996 | 60123 | | | | count ( "title" ) |
|---:|--------------------:|
| 0 | 24 | | [
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select silver where nation = 'united states' col : rank | nation | gold | silver | bronze | total row 1 : 1 | south korea | 11 | 1 | 2 | 14 row 2 : 2 | chinese taipei | 2 | 2 | 5 | 9 row 3 : 3 | spain | 2 | 0 | 4 | 6 row 4 : 4 | egypt | 1 | 0 | 0 | 1 row 5 : 5 | france | 0 | 2 | 1 | 3 row 6 : 5 | iran | 0 | 2 | 1 | 3 row 7 : 7 | china | 0 | 1 | 1 | 2 row 8 : 7 | cuba | 0 | 1 | 1 | 2 row 9 : 7 | greece | 0 | 1 | 1 | 2 row 10 : 7 | turkey | 0 | 1 | 1 | 2 row 11 : 11 | canada | 0 | 1 | 0 | 1 row 12 : 11 | germany | 0 | 1 | 0 | 1 row 13 : 11 | morocco | 0 | 1 | 0 | 1 row 14 : 11 | philippines | 0 | 1 | 0 | 1 row 15 : 11 | russia | 0 | 1 | 0 | 1 row 16 : 16 | mexico | 0 | 0 | 4 | 4 row 17 : 17 | australia | 0 | 0 | 3 | 3 row 18 : 18 | croatia | 0 | 0 | 2 | 2 row 19 : 18 | united states | 0 | 0 | 2 | 2 row 20 : 20 | ecuador | 0 | 0 | 1 | 1 row 21 : 20 | saudi arabia | 0 | 0 | 1 | 1 row 22 : 20 | thailand | 0 | 0 | 1 | 1 row 23 : 20 | yugoslavia | 0 | 0 | 1 | 1 row 24 : total | total | 16 | 16 | 32 | 64 | col : silver row 1 : 0 | select silver where nation = 'united states' <table_name> : table \begin{tabular}{lllllll}
\toprule
& rank & nation & gold & silver & bronze & total \\
\midrule
0 & 1 & south korea & 11 & 1 & 2 & 14 \\
1 & 2 & chinese taipei & 2 & 2 & 5 & 9 \\
2 & 3 & spain & 2 & 0 & 4 & 6 \\
3 & 4 & egypt & 1 & 0 & 0 & 1 \\
4 & 5 & france & 0 & 2 & 1 & 3 \\
5 & 5 & iran & 0 & 2 & 1 & 3 \\
6 & 7 & china & 0 & 1 & 1 & 2 \\
7 & 7 & cuba & 0 & 1 & 1 & 2 \\
8 & 7 & greece & 0 & 1 & 1 & 2 \\
9 & 7 & turkey & 0 & 1 & 1 & 2 \\
10 & 11 & canada & 0 & 1 & 0 & 1 \\
11 & 11 & germany & 0 & 1 & 0 & 1 \\
12 & 11 & morocco & 0 & 1 & 0 & 1 \\
13 & 11 & philippines & 0 & 1 & 0 & 1 \\
14 & 11 & russia & 0 & 1 & 0 & 1 \\
15 & 16 & mexico & 0 & 0 & 4 & 4 \\
16 & 17 & australia & 0 & 0 & 3 & 3 \\
17 & 18 & croatia & 0 & 0 & 2 & 2 \\
18 & 18 & united states & 0 & 0 & 2 & 2 \\
19 & 20 & ecuador & 0 & 0 & 1 & 1 \\
20 & 20 & saudi arabia & 0 & 0 & 1 & 1 \\
21 & 20 & thailand & 0 & 0 & 1 & 1 \\
22 & 20 & yugoslavia & 0 & 0 & 1 & 1 \\
23 & total & total & 16 & 16 & 32 & 64 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& silver \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select silver where nation = 'united states' <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>south korea</td>
<td>11</td>
<td>1</td>
<td>2</td>
<td>14</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>chinese taipei</td>
<td>2</td>
<td>2</td>
<td>5</td>
<td>9</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>spain</td>
<td>2</td>
<td>0</td>
<td>4</td>
<td>6</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>egypt</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>france</td>
<td>0</td>
<td>2</td>
<td>1</td>
<td>3</td>
</tr>
<tr>
<th>5</th>
<td>5</td>
<td>iran</td>
<td>0</td>
<td>2</td>
<td>1</td>
<td>3</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>china</td>
<td>0</td>
<td>1</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<th>7</th>
<td>7</td>
<td>cuba</td>
<td>0</td>
<td>1</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<th>8</th>
<td>7</td>
<td>greece</td>
<td>0</td>
<td>1</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<th>9</th>
<td>7</td>
<td>turkey</td>
<td>0</td>
<td>1</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>canada</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>11</th>
<td>11</td>
<td>germany</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>12</th>
<td>11</td>
<td>morocco</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>13</th>
<td>11</td>
<td>philippines</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>14</th>
<td>11</td>
<td>russia</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>mexico</td>
<td>0</td>
<td>0</td>
<td>4</td>
<td>4</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>australia</td>
<td>0</td>
<td>0</td>
<td>3</td>
<td>3</td>
</tr>
<tr>
<th>17</th>
<td>18</td>
<td>croatia</td>
<td>0</td>
<td>0</td>
<td>2</td>
<td>2</td>
</tr>
<tr>
<th>18</th>
<td>18</td>
<td>united states</td>
<td>0</td>
<td>0</td>
<td>2</td>
<td>2</td>
</tr>
<tr>
<th>19</th>
<td>20</td>
<td>ecuador</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>20</th>
<td>20</td>
<td>saudi arabia</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>21</th>
<td>20</td>
<td>thailand</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>22</th>
<td>20</td>
<td>yugoslavia</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>23</th>
<td>total</td>
<td>total</td>
<td>16</td>
<td>16</td>
<td>32</td>
<td>64</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>silver</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select silver where nation = 'united states' <table_name> : table | | rank | nation | gold | silver | bronze | total |
|---:|:-------|:---------------|-------:|---------:|---------:|--------:|
| 0 | 1 | south korea | 11 | 1 | 2 | 14 |
| 1 | 2 | chinese taipei | 2 | 2 | 5 | 9 |
| 2 | 3 | spain | 2 | 0 | 4 | 6 |
| 3 | 4 | egypt | 1 | 0 | 0 | 1 |
| 4 | 5 | france | 0 | 2 | 1 | 3 |
| 5 | 5 | iran | 0 | 2 | 1 | 3 |
| 6 | 7 | china | 0 | 1 | 1 | 2 |
| 7 | 7 | cuba | 0 | 1 | 1 | 2 |
| 8 | 7 | greece | 0 | 1 | 1 | 2 |
| 9 | 7 | turkey | 0 | 1 | 1 | 2 |
| 10 | 11 | canada | 0 | 1 | 0 | 1 |
| 11 | 11 | germany | 0 | 1 | 0 | 1 |
| 12 | 11 | morocco | 0 | 1 | 0 | 1 |
| 13 | 11 | philippines | 0 | 1 | 0 | 1 |
| 14 | 11 | russia | 0 | 1 | 0 | 1 |
| 15 | 16 | mexico | 0 | 0 | 4 | 4 |
| 16 | 17 | australia | 0 | 0 | 3 | 3 |
| 17 | 18 | croatia | 0 | 0 | 2 | 2 |
| 18 | 18 | united states | 0 | 0 | 2 | 2 |
| 19 | 20 | ecuador | 0 | 0 | 1 | 1 |
| 20 | 20 | saudi arabia | 0 | 0 | 1 | 1 |
| 21 | 20 | thailand | 0 | 0 | 1 | 1 |
| 22 | 20 | yugoslavia | 0 | 0 | 1 | 1 |
| 23 | total | total | 16 | 16 | 32 | 64 | | | | silver |
|---:|---------:|
| 0 | 0 | | [
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select count ( venue ) where report 2 = 'report' col : date | opponents | venue | result | scorers | attendance | report 1 | report 2 row 1 : 2068-01-27 00:00:00 | bournemouth | a | 0-0 | none | 24388 | report | report row 2 : 2068-01-30 00:00:00 | bournemouth | h | 4-1 | hateley 33' thompson 44' hunt 51' lawler 73' | 54075 | report | report row 3 : 2068-02-17 00:00:00 | walsall | a | 0-0 | none | 21066 | report | report row 4 : 2068-02-19 00:00:00 | walsall | h | 5-2 | hateley 24', 33', 64', 71' strong 34' | 39113 | report | report row 5 : 2068-03-09 00:00:00 | tottenham hotspur | a | 1-1 | hateley 54' | 54005 | report | report row 6 : 2068-03-12 00:00:00 | tottenham hotspur | h | 2-1 | hunt 23' smith 78 pen' | 53658 | report | report row 7 : 2068-03-30 00:00:00 | west bromwich albion | a | 0-0 | none | 53062 | report | report row 8 : 2068-04-08 00:00:00 | west bromwich albion | h | 1-1 | hateley 24' | 54273 | report | report row 9 : 2068-04-18 00:00:00 | west bromwich albion | n | 1-2 | hateley 39' | 56000 | report | report | col : count ( "venue" ) row 1 : 9 | select count ( venue ) where report 2 = 'report' <table_name> : table \begin{tabular}{lllllllll}
\toprule
& date & opponents & venue & result & scorers & attendance & report 1 & report 2 \\
\midrule
0 & 2068-01-27 00:00:00 & bournemouth & a & 0-0 & none & 24388 & report & report \\
1 & 2068-01-30 00:00:00 & bournemouth & h & 4-1 & hateley 33' thompson 44' hunt 51' lawler 73' & 54075 & report & report \\
2 & 2068-02-17 00:00:00 & walsall & a & 0-0 & none & 21066 & report & report \\
3 & 2068-02-19 00:00:00 & walsall & h & 5-2 & hateley 24', 33', 64', 71' strong 34' & 39113 & report & report \\
4 & 2068-03-09 00:00:00 & tottenham hotspur & a & 1-1 & hateley 54' & 54005 & report & report \\
5 & 2068-03-12 00:00:00 & tottenham hotspur & h & 2-1 & hunt 23' smith 78 pen' & 53658 & report & report \\
6 & 2068-03-30 00:00:00 & west bromwich albion & a & 0-0 & none & 53062 & report & report \\
7 & 2068-04-08 00:00:00 & west bromwich albion & h & 1-1 & hateley 24' & 54273 & report & report \\
8 & 2068-04-18 00:00:00 & west bromwich albion & n & 1-2 & hateley 39' & 56000 & report & report \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "venue" ) \\
\midrule
0 & 9 \\
\bottomrule
\end{tabular}
| select count ( venue ) where report 2 = 'report' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>date</th>
<th>opponents</th>
<th>venue</th>
<th>result</th>
<th>scorers</th>
<th>attendance</th>
<th>report 1</th>
<th>report 2</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2068-01-27 00:00:00</td>
<td>bournemouth</td>
<td>a</td>
<td>0-0</td>
<td>none</td>
<td>24388</td>
<td>report</td>
<td>report</td>
</tr>
<tr>
<th>1</th>
<td>2068-01-30 00:00:00</td>
<td>bournemouth</td>
<td>h</td>
<td>4-1</td>
<td>hateley 33' thompson 44' hunt 51' lawler 73'</td>
<td>54075</td>
<td>report</td>
<td>report</td>
</tr>
<tr>
<th>2</th>
<td>2068-02-17 00:00:00</td>
<td>walsall</td>
<td>a</td>
<td>0-0</td>
<td>none</td>
<td>21066</td>
<td>report</td>
<td>report</td>
</tr>
<tr>
<th>3</th>
<td>2068-02-19 00:00:00</td>
<td>walsall</td>
<td>h</td>
<td>5-2</td>
<td>hateley 24', 33', 64', 71' strong 34'</td>
<td>39113</td>
<td>report</td>
<td>report</td>
</tr>
<tr>
<th>4</th>
<td>2068-03-09 00:00:00</td>
<td>tottenham hotspur</td>
<td>a</td>
<td>1-1</td>
<td>hateley 54'</td>
<td>54005</td>
<td>report</td>
<td>report</td>
</tr>
<tr>
<th>5</th>
<td>2068-03-12 00:00:00</td>
<td>tottenham hotspur</td>
<td>h</td>
<td>2-1</td>
<td>hunt 23' smith 78 pen'</td>
<td>53658</td>
<td>report</td>
<td>report</td>
</tr>
<tr>
<th>6</th>
<td>2068-03-30 00:00:00</td>
<td>west bromwich albion</td>
<td>a</td>
<td>0-0</td>
<td>none</td>
<td>53062</td>
<td>report</td>
<td>report</td>
</tr>
<tr>
<th>7</th>
<td>2068-04-08 00:00:00</td>
<td>west bromwich albion</td>
<td>h</td>
<td>1-1</td>
<td>hateley 24'</td>
<td>54273</td>
<td>report</td>
<td>report</td>
</tr>
<tr>
<th>8</th>
<td>2068-04-18 00:00:00</td>
<td>west bromwich albion</td>
<td>n</td>
<td>1-2</td>
<td>hateley 39'</td>
<td>56000</td>
<td>report</td>
<td>report</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "venue" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>9</td>
</tr>
</tbody>
</table> | select count ( venue ) where report 2 = 'report' <table_name> : table | | date | opponents | venue | result | scorers | attendance | report 1 | report 2 |
|---:|:--------------------|:---------------------|:--------|:---------|:---------------------------------------------|-------------:|:-----------|:-----------|
| 0 | 2068-01-27 00:00:00 | bournemouth | a | 0-0 | none | 24388 | report | report |
| 1 | 2068-01-30 00:00:00 | bournemouth | h | 4-1 | hateley 33' thompson 44' hunt 51' lawler 73' | 54075 | report | report |
| 2 | 2068-02-17 00:00:00 | walsall | a | 0-0 | none | 21066 | report | report |
| 3 | 2068-02-19 00:00:00 | walsall | h | 5-2 | hateley 24', 33', 64', 71' strong 34' | 39113 | report | report |
| 4 | 2068-03-09 00:00:00 | tottenham hotspur | a | 1-1 | hateley 54' | 54005 | report | report |
| 5 | 2068-03-12 00:00:00 | tottenham hotspur | h | 2-1 | hunt 23' smith 78 pen' | 53658 | report | report |
| 6 | 2068-03-30 00:00:00 | west bromwich albion | a | 0-0 | none | 53062 | report | report |
| 7 | 2068-04-08 00:00:00 | west bromwich albion | h | 1-1 | hateley 24' | 54273 | report | report |
| 8 | 2068-04-18 00:00:00 | west bromwich albion | n | 1-2 | hateley 39' | 56000 | report | report | | | | count ( "venue" ) |
|---:|--------------------:|
| 0 | 9 | | [
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select count ( * ) where date = '19 november' col : occasion # | location | date | gold | time -1 | silver | time -2 | bronze | time -3 | report row 1 : 1 | chelyabinsk, russia | 18 november | pekka koskela finland | 35.0 | jan smeekens netherlands | 35.01 | yuya oikawa japan | 35.07 | row 2 : 1 | chelyabinsk, russia | 19 november | joji kato japan | 34.92 | mo tae-bum south korea | 35.01 | yuya oikawa japan | 35.14 | row 3 : 2 | astana, kazakhstan | 25 november | mo tae-bum south korea | 34.89 | tucker fredricks united states | 34.94 | stefan groothuis netherlands | 35.01 | row 4 : 2 | astana, kazakhstan | 26 november | jan smeekens netherlands | 35.05 | mo tae-bum south korea | 35.06 | tucker fredricks united states | 35.19 | row 5 : 3 | heerenveen, netherlands | 2 december | tucker fredricks united states | 34.98 | joji kato japan | 35.07 | mo tae-bum south korea | 35.08 | row 6 : 3 | heerenveen, netherlands | 3 december | pekka koskela finland | 35.01 | joji kato japan | 35.02 | jesper hospes netherlands | 35.06 | row 7 : 4 | salt lake city, united states | 21 january | keiichiro nagashima japan | 34.37 | jan smeekens netherlands | 34.4 | tucker fredricks united states | 34.45 | row 8 : 4 | salt lake city, united states | 22 january | dmitry lobkov russia | 34.54 | keiichiro nagashima japan | 34.57 | tucker fredricks united states | 34.6 | row 9 : 6 | heerenveen, netherlands | 2 march | dmitry lobkov russia | 35.11 | hein otterspeer netherlands | 35.14 | keiichiro nagashima japan | 35.2 | row 10 : 6 | heerenveen, netherlands | 3 march | tucker fredricks united states | 35.05 | michel mulder netherlands | 35.12 | joji kato japan | 35.16 | row 11 : 7 | berlin, germany | 9 march | jamie gregg canada | 35.06 | pekka koskela finland | 35.07 | mo tae-bum south korea | 35.17 | row 12 : 7 | berlin, germany | 10 march | michel mulder netherlands | 35.01 | mo tae-bum south korea | 35.04 | jan smeekens netherlands | 35.08 | | col : count ( "*" ) row 1 : 1 | select count ( * ) where date = '19 november' <table_name> : table \begin{tabular}{lllllllllll}
\toprule
& occasion # & location & date & gold & time -1 & silver & time -2 & bronze & time -3 & report \\
\midrule
0 & 1 & chelyabinsk, russia & 18 november & pekka koskela finland & 35.0 & jan smeekens netherlands & 35.01 & yuya oikawa japan & 35.07 & \\
1 & 1 & chelyabinsk, russia & 19 november & joji kato japan & 34.92 & mo tae-bum south korea & 35.01 & yuya oikawa japan & 35.14 & \\
2 & 2 & astana, kazakhstan & 25 november & mo tae-bum south korea & 34.89 & tucker fredricks united states & 34.94 & stefan groothuis netherlands & 35.01 & \\
3 & 2 & astana, kazakhstan & 26 november & jan smeekens netherlands & 35.05 & mo tae-bum south korea & 35.06 & tucker fredricks united states & 35.19 & \\
4 & 3 & heerenveen, netherlands & 2 december & tucker fredricks united states & 34.98 & joji kato japan & 35.07 & mo tae-bum south korea & 35.08 & \\
5 & 3 & heerenveen, netherlands & 3 december & pekka koskela finland & 35.01 & joji kato japan & 35.02 & jesper hospes netherlands & 35.06 & \\
6 & 4 & salt lake city, united states & 21 january & keiichiro nagashima japan & 34.37 & jan smeekens netherlands & 34.4 & tucker fredricks united states & 34.45 & \\
7 & 4 & salt lake city, united states & 22 january & dmitry lobkov russia & 34.54 & keiichiro nagashima japan & 34.57 & tucker fredricks united states & 34.6 & \\
8 & 6 & heerenveen, netherlands & 2 march & dmitry lobkov russia & 35.11 & hein otterspeer netherlands & 35.14 & keiichiro nagashima japan & 35.2 & \\
9 & 6 & heerenveen, netherlands & 3 march & tucker fredricks united states & 35.05 & michel mulder netherlands & 35.12 & joji kato japan & 35.16 & \\
10 & 7 & berlin, germany & 9 march & jamie gregg canada & 35.06 & pekka koskela finland & 35.07 & mo tae-bum south korea & 35.17 & \\
11 & 7 & berlin, germany & 10 march & michel mulder netherlands & 35.01 & mo tae-bum south korea & 35.04 & jan smeekens netherlands & 35.08 | & NaN \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( * ) where date = '19 november' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>occasion #</th>
<th>location</th>
<th>date</th>
<th>gold</th>
<th>time -1</th>
<th>silver</th>
<th>time -2</th>
<th>bronze</th>
<th>time -3</th>
<th>report</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>chelyabinsk, russia</td>
<td>18 november</td>
<td>pekka koskela finland</td>
<td>35.0</td>
<td>jan smeekens netherlands</td>
<td>35.01</td>
<td>yuya oikawa japan</td>
<td>35.07</td>
<td></td>
</tr>
<tr>
<th>1</th>
<td>1</td>
<td>chelyabinsk, russia</td>
<td>19 november</td>
<td>joji kato japan</td>
<td>34.92</td>
<td>mo tae-bum south korea</td>
<td>35.01</td>
<td>yuya oikawa japan</td>
<td>35.14</td>
<td></td>
</tr>
<tr>
<th>2</th>
<td>2</td>
<td>astana, kazakhstan</td>
<td>25 november</td>
<td>mo tae-bum south korea</td>
<td>34.89</td>
<td>tucker fredricks united states</td>
<td>34.94</td>
<td>stefan groothuis netherlands</td>
<td>35.01</td>
<td></td>
</tr>
<tr>
<th>3</th>
<td>2</td>
<td>astana, kazakhstan</td>
<td>26 november</td>
<td>jan smeekens netherlands</td>
<td>35.05</td>
<td>mo tae-bum south korea</td>
<td>35.06</td>
<td>tucker fredricks united states</td>
<td>35.19</td>
<td></td>
</tr>
<tr>
<th>4</th>
<td>3</td>
<td>heerenveen, netherlands</td>
<td>2 december</td>
<td>tucker fredricks united states</td>
<td>34.98</td>
<td>joji kato japan</td>
<td>35.07</td>
<td>mo tae-bum south korea</td>
<td>35.08</td>
<td></td>
</tr>
<tr>
<th>5</th>
<td>3</td>
<td>heerenveen, netherlands</td>
<td>3 december</td>
<td>pekka koskela finland</td>
<td>35.01</td>
<td>joji kato japan</td>
<td>35.02</td>
<td>jesper hospes netherlands</td>
<td>35.06</td>
<td></td>
</tr>
<tr>
<th>6</th>
<td>4</td>
<td>salt lake city, united states</td>
<td>21 january</td>
<td>keiichiro nagashima japan</td>
<td>34.37</td>
<td>jan smeekens netherlands</td>
<td>34.4</td>
<td>tucker fredricks united states</td>
<td>34.45</td>
<td></td>
</tr>
<tr>
<th>7</th>
<td>4</td>
<td>salt lake city, united states</td>
<td>22 january</td>
<td>dmitry lobkov russia</td>
<td>34.54</td>
<td>keiichiro nagashima japan</td>
<td>34.57</td>
<td>tucker fredricks united states</td>
<td>34.6</td>
<td></td>
</tr>
<tr>
<th>8</th>
<td>6</td>
<td>heerenveen, netherlands</td>
<td>2 march</td>
<td>dmitry lobkov russia</td>
<td>35.11</td>
<td>hein otterspeer netherlands</td>
<td>35.14</td>
<td>keiichiro nagashima japan</td>
<td>35.2</td>
<td></td>
</tr>
<tr>
<th>9</th>
<td>6</td>
<td>heerenveen, netherlands</td>
<td>3 march</td>
<td>tucker fredricks united states</td>
<td>35.05</td>
<td>michel mulder netherlands</td>
<td>35.12</td>
<td>joji kato japan</td>
<td>35.16</td>
<td></td>
</tr>
<tr>
<th>10</th>
<td>7</td>
<td>berlin, germany</td>
<td>9 march</td>
<td>jamie gregg canada</td>
<td>35.06</td>
<td>pekka koskela finland</td>
<td>35.07</td>
<td>mo tae-bum south korea</td>
<td>35.17</td>
<td></td>
</tr>
<tr>
<th>11</th>
<td>7</td>
<td>berlin, germany</td>
<td>10 march</td>
<td>michel mulder netherlands</td>
<td>35.01</td>
<td>mo tae-bum south korea</td>
<td>35.04</td>
<td>jan smeekens netherlands</td>
<td>35.08 |</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 date = '19 november' <table_name> : table | | occasion # | location | date | gold | time -1 | silver | time -2 | bronze | time -3 | report |
|---:|-------------:|:------------------------------|:------------|:-------------------------------|----------:|:-------------------------------|----------:|:-------------------------------|:----------|:---------|
| 0 | 1 | chelyabinsk, russia | 18 november | pekka koskela finland | 35 | jan smeekens netherlands | 35.01 | yuya oikawa japan | 35.07 | |
| 1 | 1 | chelyabinsk, russia | 19 november | joji kato japan | 34.92 | mo tae-bum south korea | 35.01 | yuya oikawa japan | 35.14 | |
| 2 | 2 | astana, kazakhstan | 25 november | mo tae-bum south korea | 34.89 | tucker fredricks united states | 34.94 | stefan groothuis netherlands | 35.01 | |
| 3 | 2 | astana, kazakhstan | 26 november | jan smeekens netherlands | 35.05 | mo tae-bum south korea | 35.06 | tucker fredricks united states | 35.19 | |
| 4 | 3 | heerenveen, netherlands | 2 december | tucker fredricks united states | 34.98 | joji kato japan | 35.07 | mo tae-bum south korea | 35.08 | |
| 5 | 3 | heerenveen, netherlands | 3 december | pekka koskela finland | 35.01 | joji kato japan | 35.02 | jesper hospes netherlands | 35.06 | |
| 6 | 4 | salt lake city, united states | 21 january | keiichiro nagashima japan | 34.37 | jan smeekens netherlands | 34.4 | tucker fredricks united states | 34.45 | |
| 7 | 4 | salt lake city, united states | 22 january | dmitry lobkov russia | 34.54 | keiichiro nagashima japan | 34.57 | tucker fredricks united states | 34.6 | |
| 8 | 6 | heerenveen, netherlands | 2 march | dmitry lobkov russia | 35.11 | hein otterspeer netherlands | 35.14 | keiichiro nagashima japan | 35.2 | |
| 9 | 6 | heerenveen, netherlands | 3 march | tucker fredricks united states | 35.05 | michel mulder netherlands | 35.12 | joji kato japan | 35.16 | |
| 10 | 7 | berlin, germany | 9 march | jamie gregg canada | 35.06 | pekka koskela finland | 35.07 | mo tae-bum south korea | 35.17 | |
| 11 | 7 | berlin, germany | 10 march | michel mulder netherlands | 35.01 | mo tae-bum south korea | 35.04 | jan smeekens netherlands | 35.08 | | | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 1 | | [
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select count ( institution ) where head coach = 'jim latham' col : institution | location | enrollment | nickname | varsity sports | rugby since | head coach row 1 : clemson university | clemson, south carolina | 20576 | tigers | 19 | 1967 | justin hickey row 2 : maryland | college park, maryland | 37641 | terrapins | 20 | 1968 | jeff soeken row 3 : navy | annapolis, maryland | 4576 | midshipmen | 30 | 1963 | mike flanagan row 4 : north carolina | chapel hill, north carolina | 29340 | tar heels | 28 | 1966 | pete earsman row 5 : north carolina state | raleigh, north carolina | 34767 | wolfpack | 25 | 1965 | jim latham row 6 : university of virginia | charlottesville, virginia | 20895 | cavaliers | 25 | 1961 | jon roberts row 7 : virginia tech | blacksburg, virginia | 30379 | hokies | 21 | 1891 / 1968 | andy richards row 8 : wake forest | winston-salem, north carolina | 7079 | demon deacons | 18 | 1973 | patrick kane | col : count ( "institution" ) row 1 : 1 | select count ( institution ) where head coach = 'jim latham' <table_name> : table \begin{tabular}{llllllll}
\toprule
& institution & location & enrollment & nickname & varsity sports & rugby since & head coach \\
\midrule
0 & clemson university & clemson, south carolina & 20576 & tigers & 19 & 1967 & justin hickey \\
1 & maryland & college park, maryland & 37641 & terrapins & 20 & 1968 & jeff soeken \\
2 & navy & annapolis, maryland & 4576 & midshipmen & 30 & 1963 & mike flanagan \\
3 & north carolina & chapel hill, north carolina & 29340 & tar heels & 28 & 1966 & pete earsman \\
4 & north carolina state & raleigh, north carolina & 34767 & wolfpack & 25 & 1965 & jim latham \\
5 & university of virginia & charlottesville, virginia & 20895 & cavaliers & 25 & 1961 & jon roberts \\
6 & virginia tech & blacksburg, virginia & 30379 & hokies & 21 & 1891 / 1968 & andy richards \\
7 & wake forest & winston-salem, north carolina & 7079 & demon deacons & 18 & 1973 & patrick kane \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "institution" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( institution ) where head coach = 'jim latham' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>institution</th>
<th>location</th>
<th>enrollment</th>
<th>nickname</th>
<th>varsity sports</th>
<th>rugby since</th>
<th>head coach</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>clemson university</td>
<td>clemson, south carolina</td>
<td>20576</td>
<td>tigers</td>
<td>19</td>
<td>1967</td>
<td>justin hickey</td>
</tr>
<tr>
<th>1</th>
<td>maryland</td>
<td>college park, maryland</td>
<td>37641</td>
<td>terrapins</td>
<td>20</td>
<td>1968</td>
<td>jeff soeken</td>
</tr>
<tr>
<th>2</th>
<td>navy</td>
<td>annapolis, maryland</td>
<td>4576</td>
<td>midshipmen</td>
<td>30</td>
<td>1963</td>
<td>mike flanagan</td>
</tr>
<tr>
<th>3</th>
<td>north carolina</td>
<td>chapel hill, north carolina</td>
<td>29340</td>
<td>tar heels</td>
<td>28</td>
<td>1966</td>
<td>pete earsman</td>
</tr>
<tr>
<th>4</th>
<td>north carolina state</td>
<td>raleigh, north carolina</td>
<td>34767</td>
<td>wolfpack</td>
<td>25</td>
<td>1965</td>
<td>jim latham</td>
</tr>
<tr>
<th>5</th>
<td>university of virginia</td>
<td>charlottesville, virginia</td>
<td>20895</td>
<td>cavaliers</td>
<td>25</td>
<td>1961</td>
<td>jon roberts</td>
</tr>
<tr>
<th>6</th>
<td>virginia tech</td>
<td>blacksburg, virginia</td>
<td>30379</td>
<td>hokies</td>
<td>21</td>
<td>1891 / 1968</td>
<td>andy richards</td>
</tr>
<tr>
<th>7</th>
<td>wake forest</td>
<td>winston-salem, north carolina</td>
<td>7079</td>
<td>demon deacons</td>
<td>18</td>
<td>1973</td>
<td>patrick kane</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "institution" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( institution ) where head coach = 'jim latham' <table_name> : table | | institution | location | enrollment | nickname | varsity sports | rugby since | head coach |
|---:|:-----------------------|:------------------------------|-------------:|:--------------|-----------------:|:--------------|:--------------|
| 0 | clemson university | clemson, south carolina | 20576 | tigers | 19 | 1967 | justin hickey |
| 1 | maryland | college park, maryland | 37641 | terrapins | 20 | 1968 | jeff soeken |
| 2 | navy | annapolis, maryland | 4576 | midshipmen | 30 | 1963 | mike flanagan |
| 3 | north carolina | chapel hill, north carolina | 29340 | tar heels | 28 | 1966 | pete earsman |
| 4 | north carolina state | raleigh, north carolina | 34767 | wolfpack | 25 | 1965 | jim latham |
| 5 | university of virginia | charlottesville, virginia | 20895 | cavaliers | 25 | 1961 | jon roberts |
| 6 | virginia tech | blacksburg, virginia | 30379 | hokies | 21 | 1891 / 1968 | andy richards |
| 7 | wake forest | winston-salem, north carolina | 7079 | demon deacons | 18 | 1973 | patrick kane | | | | count ( "institution" ) |
|---:|--------------------------:|
| 0 | 1 | | [
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] |
select count ( * ) where host city = 'st. louis, missouri' col : games | host city | dates | nations | participants | events row 1 : 1904 summer olympics | st. louis, missouri | 1 july - 23 november | 12 | 651 | 91 row 2 : 1932 winter olympics | lake placid, new york | 7 - 15 february | 17 | 252 | 14 row 3 : 1932 summer olympics | los angeles, california | 30 july - 14 august | 37 | 1332 | 117 row 4 : 1960 winter olympics | squaw valley, california | 2 - 20 february | 30 | 665 | 27 row 5 : 1980 winter olympics | lake placid, new york | 13 - 24 february | 37 | 1072 | 38 row 6 : 1984 summer olympics | los angeles, california | 20 july - 18 august | 140 | 6829 | 221 row 7 : 1996 summer olympics | atlanta, georgia | 18 july - 4 august | 197 | 1318 | 271 row 8 : 2002 winter olympics | salt lake city, utah | 8 - 24 february | 77 | 2399 | 78 | col : count ( "*" ) row 1 : 1 | select count ( * ) where host city = 'st. louis, missouri' <table_name> : table \begin{tabular}{lllllll}
\toprule
& games & host city & dates & nations & participants & events \\
\midrule
0 & 1904 summer olympics & st. louis, missouri & 1 july - 23 november & 12 & 651 & 91 \\
1 & 1932 winter olympics & lake placid, new york & 7 - 15 february & 17 & 252 & 14 \\
2 & 1932 summer olympics & los angeles, california & 30 july - 14 august & 37 & 1332 & 117 \\
3 & 1960 winter olympics & squaw valley, california & 2 - 20 february & 30 & 665 & 27 \\
4 & 1980 winter olympics & lake placid, new york & 13 - 24 february & 37 & 1072 & 38 \\
5 & 1984 summer olympics & los angeles, california & 20 july - 18 august & 140 & 6829 & 221 \\
6 & 1996 summer olympics & atlanta, georgia & 18 july - 4 august & 197 & 1318 & 271 \\
7 & 2002 winter olympics & salt lake city, utah & 8 - 24 february & 77 & 2399 & 78 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( * ) where host city = 'st. louis, missouri' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>games</th>
<th>host city</th>
<th>dates</th>
<th>nations</th>
<th>participants</th>
<th>events</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1904 summer olympics</td>
<td>st. louis, missouri</td>
<td>1 july - 23 november</td>
<td>12</td>
<td>651</td>
<td>91</td>
</tr>
<tr>
<th>1</th>
<td>1932 winter olympics</td>
<td>lake placid, new york</td>
<td>7 - 15 february</td>
<td>17</td>
<td>252</td>
<td>14</td>
</tr>
<tr>
<th>2</th>
<td>1932 summer olympics</td>
<td>los angeles, california</td>
<td>30 july - 14 august</td>
<td>37</td>
<td>1332</td>
<td>117</td>
</tr>
<tr>
<th>3</th>
<td>1960 winter olympics</td>
<td>squaw valley, california</td>
<td>2 - 20 february</td>
<td>30</td>
<td>665</td>
<td>27</td>
</tr>
<tr>
<th>4</th>
<td>1980 winter olympics</td>
<td>lake placid, new york</td>
<td>13 - 24 february</td>
<td>37</td>
<td>1072</td>
<td>38</td>
</tr>
<tr>
<th>5</th>
<td>1984 summer olympics</td>
<td>los angeles, california</td>
<td>20 july - 18 august</td>
<td>140</td>
<td>6829</td>
<td>221</td>
</tr>
<tr>
<th>6</th>
<td>1996 summer olympics</td>
<td>atlanta, georgia</td>
<td>18 july - 4 august</td>
<td>197</td>
<td>1318</td>
<td>271</td>
</tr>
<tr>
<th>7</th>
<td>2002 winter olympics</td>
<td>salt lake city, utah</td>
<td>8 - 24 february</td>
<td>77</td>
<td>2399</td>
<td>78</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 host city = 'st. louis, missouri' <table_name> : table | | games | host city | dates | nations | participants | events |
|---:|:---------------------|:-------------------------|:---------------------|----------:|---------------:|---------:|
| 0 | 1904 summer olympics | st. louis, missouri | 1 july - 23 november | 12 | 651 | 91 |
| 1 | 1932 winter olympics | lake placid, new york | 7 - 15 february | 17 | 252 | 14 |
| 2 | 1932 summer olympics | los angeles, california | 30 july - 14 august | 37 | 1332 | 117 |
| 3 | 1960 winter olympics | squaw valley, california | 2 - 20 february | 30 | 665 | 27 |
| 4 | 1980 winter olympics | lake placid, new york | 13 - 24 february | 37 | 1072 | 38 |
| 5 | 1984 summer olympics | los angeles, california | 20 july - 18 august | 140 | 6829 | 221 |
| 6 | 1996 summer olympics | atlanta, georgia | 18 july - 4 august | 197 | 1318 | 271 |
| 7 | 2002 winter olympics | salt lake city, utah | 8 - 24 february | 77 | 2399 | 78 | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 1 | | [
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select label where year = 1969 col : year | album | label | peak chart positions us | peak chart positions us r&b row 1 : 1969 | gimme shelter | ode | none | none row 2 : 1971 | celebration | ode | none | none row 3 : 1971 | merry clayton | ode | 180 | 36 row 4 : 1975 | keep your eye on the spar | | | row 5 : | ode | 146 | 50 | row 6 : 1979 | emotion | fontana | none | none row 7 : 1994 | miracles | a&m | none | none | col : label row 1 : ode | select label where year = 1969 <table_name> : table \begin{tabular}{llllll}
\toprule
& year & album & label & peak chart positions us & peak chart positions us r&b \\
\midrule
0 & 1969 & gimme shelter & ode & none & none \\
1 & 1971 & celebration & ode & none & none \\
2 & 1971 & merry clayton & ode & 180 & 36 \\
3 & 1975 & keep your eye on the spar & & & \\
4 & & ode & 146 & 50 & \\
5 & 1979 & emotion & fontana & none & none \\
6 & 1994 & miracles & a&m & none & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& label \\
\midrule
0 & ode \\
\bottomrule
\end{tabular}
| select label where year = 1969 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>album</th>
<th>label</th>
<th>peak chart positions us</th>
<th>peak chart positions us r&b</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1969</td>
<td>gimme shelter</td>
<td>ode</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>1971</td>
<td>celebration</td>
<td>ode</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>1971</td>
<td>merry clayton</td>
<td>ode</td>
<td>180</td>
<td>36</td>
</tr>
<tr>
<th>3</th>
<td>1975</td>
<td>keep your eye on the spar</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<th>4</th>
<td></td>
<td>ode</td>
<td>146</td>
<td>50</td>
<td></td>
</tr>
<tr>
<th>5</th>
<td>1979</td>
<td>emotion</td>
<td>fontana</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>1994</td>
<td>miracles</td>
<td>a&m</td>
<td>none</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>label</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>ode</td>
</tr>
</tbody>
</table> | select label where year = 1969 <table_name> : table | | year | album | label | peak chart positions us | peak chart positions us r&b |
|---:|:-------|:--------------------------|:--------|:--------------------------|:------------------------------|
| 0 | 1969 | gimme shelter | ode | none | none |
| 1 | 1971 | celebration | ode | none | none |
| 2 | 1971 | merry clayton | ode | 180 | 36 |
| 3 | 1975 | keep your eye on the spar | | | |
| 4 | | ode | 146 | 50 | |
| 5 | 1979 | emotion | fontana | none | none |
| 6 | 1994 | miracles | a&m | none | none | | | | label |
|---:|:--------|
| 0 | ode | | [
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select count ( women's team ) where women's team = 'japan' col : association | joining year | men's team | women's team | league row 1 : china pr | 2002 | china | china | chinese super league row 2 : guam | 2002 | guam | guam | guam league row 3 : hong kong | 2002 | hong kong | hong kong | hong kong first division league row 4 : japan | 2002 | japan | japan | j. league row 5 : korea dpr | 2002 | korea dpr | korea dpr | dpr korea league row 6 : korea republic | 2002 | korea republic | korea republic | k-league row 7 : macau | 2002 | macau | macau | campeonato da 1a divisao do futebol row 8 : mongolia | 2002 | mongolia | mongolia | mongolia premier league row 9 : northern mariana islands | 2008 | northern mariana islands | northern mariana islands | northern mariana championship row 10 : chinese taipei | 2002 | chinese taipei | chinese taipei | intercity football league | col : count ( "women's team" ) row 1 : 1 | select count ( women's team ) where women's team = 'japan' <table_name> : table \begin{tabular}{llllll}
\toprule
& association & joining year & men's team & women's team & league \\
\midrule
0 & china pr & 2002 & china & china & chinese super league \\
1 & guam & 2002 & guam & guam & guam league \\
2 & hong kong & 2002 & hong kong & hong kong & hong kong first division league \\
3 & japan & 2002 & japan & japan & j. league \\
4 & korea dpr & 2002 & korea dpr & korea dpr & dpr korea league \\
5 & korea republic & 2002 & korea republic & korea republic & k-league \\
6 & macau & 2002 & macau & macau & campeonato da 1a divisao do futebol \\
7 & mongolia & 2002 & mongolia & mongolia & mongolia premier league \\
8 & northern mariana islands & 2008 & northern mariana islands & northern mariana islands & northern mariana championship \\
9 & chinese taipei & 2002 & chinese taipei & chinese taipei & intercity football league \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "women's team" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( women's team ) where women's team = 'japan' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>association</th>
<th>joining year</th>
<th>men's team</th>
<th>women's team</th>
<th>league</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>china pr</td>
<td>2002</td>
<td>china</td>
<td>china</td>
<td>chinese super league</td>
</tr>
<tr>
<th>1</th>
<td>guam</td>
<td>2002</td>
<td>guam</td>
<td>guam</td>
<td>guam league</td>
</tr>
<tr>
<th>2</th>
<td>hong kong</td>
<td>2002</td>
<td>hong kong</td>
<td>hong kong</td>
<td>hong kong first division league</td>
</tr>
<tr>
<th>3</th>
<td>japan</td>
<td>2002</td>
<td>japan</td>
<td>japan</td>
<td>j. league</td>
</tr>
<tr>
<th>4</th>
<td>korea dpr</td>
<td>2002</td>
<td>korea dpr</td>
<td>korea dpr</td>
<td>dpr korea league</td>
</tr>
<tr>
<th>5</th>
<td>korea republic</td>
<td>2002</td>
<td>korea republic</td>
<td>korea republic</td>
<td>k-league</td>
</tr>
<tr>
<th>6</th>
<td>macau</td>
<td>2002</td>
<td>macau</td>
<td>macau</td>
<td>campeonato da 1a divisao do futebol</td>
</tr>
<tr>
<th>7</th>
<td>mongolia</td>
<td>2002</td>
<td>mongolia</td>
<td>mongolia</td>
<td>mongolia premier league</td>
</tr>
<tr>
<th>8</th>
<td>northern mariana islands</td>
<td>2008</td>
<td>northern mariana islands</td>
<td>northern mariana islands</td>
<td>northern mariana championship</td>
</tr>
<tr>
<th>9</th>
<td>chinese taipei</td>
<td>2002</td>
<td>chinese taipei</td>
<td>chinese taipei</td>
<td>intercity football league</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "women's team" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( women's team ) where women's team = 'japan' <table_name> : table | | association | joining year | men's team | women's team | league |
|---:|:-------------------------|---------------:|:-------------------------|:-------------------------|:------------------------------------|
| 0 | china pr | 2002 | china | china | chinese super league |
| 1 | guam | 2002 | guam | guam | guam league |
| 2 | hong kong | 2002 | hong kong | hong kong | hong kong first division league |
| 3 | japan | 2002 | japan | japan | j. league |
| 4 | korea dpr | 2002 | korea dpr | korea dpr | dpr korea league |
| 5 | korea republic | 2002 | korea republic | korea republic | k-league |
| 6 | macau | 2002 | macau | macau | campeonato da 1a divisao do futebol |
| 7 | mongolia | 2002 | mongolia | mongolia | mongolia premier league |
| 8 | northern mariana islands | 2008 | northern mariana islands | northern mariana islands | northern mariana championship |
| 9 | chinese taipei | 2002 | chinese taipei | chinese taipei | intercity football league | | | | count ( "women's team" ) |
|---:|---------------------------:|
| 0 | 1 | | [
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select # where home = 'toronto 228th battalion' 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 : # row 1 : 8 | select # where home = 'toronto 228th battalion' <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
& # \\
\midrule
0 & 8 \\
\bottomrule
\end{tabular}
| select # where home = 'toronto 228th battalion' <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>#</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>8</td>
</tr>
</tbody>
</table> | select # where home = 'toronto 228th battalion' <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 | | | | # |
|---:|----:|
| 0 | 8 | | [
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select jan where month = 'avg. snowy days (≥ 0.1 in)' col : month | jan | feb | mar | apr | may | jun | jul | aug | sep | oct | nov | dec | year row 1 : record high °f (°c) | 76 (24) | 86 (30) | 96 (36) | 96 (36) | 95 (35) | 104 (40) | 111 (44) | 109 (43) | 105 (41) | 96 (36) | 90 (32) | 78 (26) | 111 (44) row 2 : average high °f (°c) | 46.2 (7.9) | 50.4 (10.2) | 59.1 (15.1) | 68.7 (20.4) | 75.5 (24.2) | 83.5 (28.6) | 88.7 (31.5) | 89.4 (31.9) | 80.8 (27.1) | 70.3 (21.3) | 59.2 (15.1) | 48.0 (8.9) | 68.3 (20.2) row 3 : average low °f (°c) | 26.1 (-3.3) | 29.0 (-1.7) | 37.8 (3.2) | 46.9 (8.3) | 55.7 (13.2) | 64.1 (17.8) | 68.7 (20.4) | 67.7 (19.8) | 58.9 (14.9) | 47.6 (8.7) | 39.2 (4) | 28.1 (-2.2) | 47.5 (8.6) row 4 : record low °f (°c) | -23 (-31) | -24 (-31) | -11 (-24) | 18 (-8) | 28 (-2) | 41 (5) | 48 (9) | 44 (7) | 29 (-2) | 17 (-8) | 5 (-15) | -12 (-24) | -24 (-31) row 5 : precipitation inches (mm) | 1.99 (50.5) | 2.43 (61.7) | 3.54 (89.9) | 4.05 (102.9) | 4.99 (126.7) | 4.59 (116.6) | 3.18 (80.8) | 2.75 (69.9) | 4.43 (112.5) | 3.83 (97.3) | 4.19 (106.4) | 2.73 (69.3) | 42.7 (1,084.6) row 6 : snowfall inches (cm) | 1.6 (4.1) | 2.0 (5.1) | 0 (0) | 0 (0) | 0 (0) | 0 (0) | 0 (0) | 0 (0) | 0 (0) | 0 (0) | 0 (0) | .7 (1.8) | 4.4 (11.2) row 7 : avg. precipitation days (≥ 0.01 in) | 5.4 | 6.6 | 8.2 | 9.0 | 11.2 | 8.9 | 7.0 | 6.4 | 7.6 | 7.9 | 7.0 | 6.3 | 91.4 row 8 : avg. snowy days (≥ 0.1 in) | .7 | .9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | .5 | 2.3 | col : jan row 1 : 0.7 | select jan where month = 'avg. snowy days (≥ 0.1 in)' <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) & 76 (24) & 86 (30) & 96 (36) & 96 (36) & 95 (35) & 104 (40) & 111 (44) & 109 (43) & 105 (41) & 96 (36) & 90 (32) & 78 (26) & 111 (44) \\
1 & average high °f (°c) & 46.2 (7.9) & 50.4 (10.2) & 59.1 (15.1) & 68.7 (20.4) & 75.5 (24.2) & 83.5 (28.6) & 88.7 (31.5) & 89.4 (31.9) & 80.8 (27.1) & 70.3 (21.3) & 59.2 (15.1) & 48.0 (8.9) & 68.3 (20.2) \\
2 & average low °f (°c) & 26.1 (-3.3) & 29.0 (-1.7) & 37.8 (3.2) & 46.9 (8.3) & 55.7 (13.2) & 64.1 (17.8) & 68.7 (20.4) & 67.7 (19.8) & 58.9 (14.9) & 47.6 (8.7) & 39.2 (4) & 28.1 (-2.2) & 47.5 (8.6) \\
3 & record low °f (°c) & -23 (-31) & -24 (-31) & -11 (-24) & 18 (-8) & 28 (-2) & 41 (5) & 48 (9) & 44 (7) & 29 (-2) & 17 (-8) & 5 (-15) & -12 (-24) & -24 (-31) \\
4 & precipitation inches (mm) & 1.99 (50.5) & 2.43 (61.7) & 3.54 (89.9) & 4.05 (102.9) & 4.99 (126.7) & 4.59 (116.6) & 3.18 (80.8) & 2.75 (69.9) & 4.43 (112.5) & 3.83 (97.3) & 4.19 (106.4) & 2.73 (69.3) & 42.7 (1,084.6) \\
5 & snowfall inches (cm) & 1.6 (4.1) & 2.0 (5.1) & 0 (0) & 0 (0) & 0 (0) & 0 (0) & 0 (0) & 0 (0) & 0 (0) & 0 (0) & 0 (0) & .7 (1.8) & 4.4 (11.2) \\
6 & avg. precipitation days (≥ 0.01 in) & 5.4 & 6.6 & 8.2 & 9.0 & 11.2 & 8.9 & 7.0 & 6.4 & 7.6 & 7.9 & 7.0 & 6.3 & 91.4 \\
7 & avg. snowy days (≥ 0.1 in) & .7 & .9 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & .5 & 2.3 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& jan \\
\midrule
0 & 0.7 \\
\bottomrule
\end{tabular}
| select jan where month = 'avg. snowy days (≥ 0.1 in)' <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>76 (24)</td>
<td>86 (30)</td>
<td>96 (36)</td>
<td>96 (36)</td>
<td>95 (35)</td>
<td>104 (40)</td>
<td>111 (44)</td>
<td>109 (43)</td>
<td>105 (41)</td>
<td>96 (36)</td>
<td>90 (32)</td>
<td>78 (26)</td>
<td>111 (44)</td>
</tr>
<tr>
<th>1</th>
<td>average high °f (°c)</td>
<td>46.2 (7.9)</td>
<td>50.4 (10.2)</td>
<td>59.1 (15.1)</td>
<td>68.7 (20.4)</td>
<td>75.5 (24.2)</td>
<td>83.5 (28.6)</td>
<td>88.7 (31.5)</td>
<td>89.4 (31.9)</td>
<td>80.8 (27.1)</td>
<td>70.3 (21.3)</td>
<td>59.2 (15.1)</td>
<td>48.0 (8.9)</td>
<td>68.3 (20.2)</td>
</tr>
<tr>
<th>2</th>
<td>average low °f (°c)</td>
<td>26.1 (-3.3)</td>
<td>29.0 (-1.7)</td>
<td>37.8 (3.2)</td>
<td>46.9 (8.3)</td>
<td>55.7 (13.2)</td>
<td>64.1 (17.8)</td>
<td>68.7 (20.4)</td>
<td>67.7 (19.8)</td>
<td>58.9 (14.9)</td>
<td>47.6 (8.7)</td>
<td>39.2 (4)</td>
<td>28.1 (-2.2)</td>
<td>47.5 (8.6)</td>
</tr>
<tr>
<th>3</th>
<td>record low °f (°c)</td>
<td>-23 (-31)</td>
<td>-24 (-31)</td>
<td>-11 (-24)</td>
<td>18 (-8)</td>
<td>28 (-2)</td>
<td>41 (5)</td>
<td>48 (9)</td>
<td>44 (7)</td>
<td>29 (-2)</td>
<td>17 (-8)</td>
<td>5 (-15)</td>
<td>-12 (-24)</td>
<td>-24 (-31)</td>
</tr>
<tr>
<th>4</th>
<td>precipitation inches (mm)</td>
<td>1.99 (50.5)</td>
<td>2.43 (61.7)</td>
<td>3.54 (89.9)</td>
<td>4.05 (102.9)</td>
<td>4.99 (126.7)</td>
<td>4.59 (116.6)</td>
<td>3.18 (80.8)</td>
<td>2.75 (69.9)</td>
<td>4.43 (112.5)</td>
<td>3.83 (97.3)</td>
<td>4.19 (106.4)</td>
<td>2.73 (69.3)</td>
<td>42.7 (1,084.6)</td>
</tr>
<tr>
<th>5</th>
<td>snowfall inches (cm)</td>
<td>1.6 (4.1)</td>
<td>2.0 (5.1)</td>
<td>0 (0)</td>
<td>0 (0)</td>
<td>0 (0)</td>
<td>0 (0)</td>
<td>0 (0)</td>
<td>0 (0)</td>
<td>0 (0)</td>
<td>0 (0)</td>
<td>0 (0)</td>
<td>.7 (1.8)</td>
<td>4.4 (11.2)</td>
</tr>
<tr>
<th>6</th>
<td>avg. precipitation days (≥ 0.01 in)</td>
<td>5.4</td>
<td>6.6</td>
<td>8.2</td>
<td>9.0</td>
<td>11.2</td>
<td>8.9</td>
<td>7.0</td>
<td>6.4</td>
<td>7.6</td>
<td>7.9</td>
<td>7.0</td>
<td>6.3</td>
<td>91.4</td>
</tr>
<tr>
<th>7</th>
<td>avg. snowy days (≥ 0.1 in)</td>
<td>.7</td>
<td>.9</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>.5</td>
<td>2.3</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>jan</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0.7</td>
</tr>
</tbody>
</table> | select jan where month = 'avg. snowy days (≥ 0.1 in)' <table_name> : table | | month | jan | feb | mar | apr | may | jun | jul | aug | sep | oct | nov | dec | year |
|---:|:------------------------------------|:------------|:------------|:------------|:-------------|:-------------|:-------------|:------------|:------------|:-------------|:------------|:-------------|:------------|:---------------|
| 0 | record high °f (°c) | 76 (24) | 86 (30) | 96 (36) | 96 (36) | 95 (35) | 104 (40) | 111 (44) | 109 (43) | 105 (41) | 96 (36) | 90 (32) | 78 (26) | 111 (44) |
| 1 | average high °f (°c) | 46.2 (7.9) | 50.4 (10.2) | 59.1 (15.1) | 68.7 (20.4) | 75.5 (24.2) | 83.5 (28.6) | 88.7 (31.5) | 89.4 (31.9) | 80.8 (27.1) | 70.3 (21.3) | 59.2 (15.1) | 48.0 (8.9) | 68.3 (20.2) |
| 2 | average low °f (°c) | 26.1 (-3.3) | 29.0 (-1.7) | 37.8 (3.2) | 46.9 (8.3) | 55.7 (13.2) | 64.1 (17.8) | 68.7 (20.4) | 67.7 (19.8) | 58.9 (14.9) | 47.6 (8.7) | 39.2 (4) | 28.1 (-2.2) | 47.5 (8.6) |
| 3 | record low °f (°c) | -23 (-31) | -24 (-31) | -11 (-24) | 18 (-8) | 28 (-2) | 41 (5) | 48 (9) | 44 (7) | 29 (-2) | 17 (-8) | 5 (-15) | -12 (-24) | -24 (-31) |
| 4 | precipitation inches (mm) | 1.99 (50.5) | 2.43 (61.7) | 3.54 (89.9) | 4.05 (102.9) | 4.99 (126.7) | 4.59 (116.6) | 3.18 (80.8) | 2.75 (69.9) | 4.43 (112.5) | 3.83 (97.3) | 4.19 (106.4) | 2.73 (69.3) | 42.7 (1,084.6) |
| 5 | snowfall inches (cm) | 1.6 (4.1) | 2.0 (5.1) | 0 (0) | 0 (0) | 0 (0) | 0 (0) | 0 (0) | 0 (0) | 0 (0) | 0 (0) | 0 (0) | .7 (1.8) | 4.4 (11.2) |
| 6 | avg. precipitation days (≥ 0.01 in) | 5.4 | 6.6 | 8.2 | 9.0 | 11.2 | 8.9 | 7.0 | 6.4 | 7.6 | 7.9 | 7.0 | 6.3 | 91.4 |
| 7 | avg. snowy days (≥ 0.1 in) | .7 | .9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | .5 | 2.3 | | | | jan |
|---:|------:|
| 0 | 0.7 | | [
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select destinations where mile = '3.67' col : location | mile | destinations | notes row 1 : woodmont | 0.0 | i-68 / us 40 (national freeway) - cumberland, hancock | western terminus; i-68 exit 77 row 2 : woodmont | 0.12 | us 40 scenic west (national pike) | us 40 scenic is county-maintained but signed row 3 : woodmont | 0.25 | woodmont road south | former md 453 row 4 : hancock | 3.52 | us 522 south - berkeley springs, wv | ramp is unsigned us 522b row 5 : hancock | 3.67 | limestone road north | unsigned md 894; old alignment of us 522 row 6 : hancock | 3.75 | virginia avenue to us 522 north | unsigned us 522c row 7 : hancock | 5.91 | i-70 / us 40 east (eisenhower memorial highway) - hagerstown, frederick | eastern terminus; i-70 exit 3; no direct access from md 144 to i-70 west; use exit 5 to access i-70 and i-68 west | col : destinations row 1 : limestone road north | select destinations where mile = '3.67' <table_name> : table \begin{tabular}{lllll}
\toprule
& location & mile & destinations & notes \\
\midrule
0 & woodmont & 0.0 & i-68 / us 40 (national freeway) - cumberland, hancock & western terminus; i-68 exit 77 \\
1 & woodmont & 0.12 & us 40 scenic west (national pike) & us 40 scenic is county-maintained but signed \\
2 & woodmont & 0.25 & woodmont road south & former md 453 \\
3 & hancock & 3.52 & us 522 south - berkeley springs, wv & ramp is unsigned us 522b \\
4 & hancock & 3.67 & limestone road north & unsigned md 894; old alignment of us 522 \\
5 & hancock & 3.75 & virginia avenue to us 522 north & unsigned us 522c \\
6 & hancock & 5.91 & i-70 / us 40 east (eisenhower memorial highway) - hagerstown, frederick & eastern terminus; i-70 exit 3; no direct access from md 144 to i-70 west; use exit 5 to access i-70 and i-68 west \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& destinations \\
\midrule
0 & limestone road north \\
\bottomrule
\end{tabular}
| select destinations where mile = '3.67' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>location</th>
<th>mile</th>
<th>destinations</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>woodmont</td>
<td>0.0</td>
<td>i-68 / us 40 (national freeway) - cumberland, hancock</td>
<td>western terminus; i-68 exit 77</td>
</tr>
<tr>
<th>1</th>
<td>woodmont</td>
<td>0.12</td>
<td>us 40 scenic west (national pike)</td>
<td>us 40 scenic is county-maintained but signed</td>
</tr>
<tr>
<th>2</th>
<td>woodmont</td>
<td>0.25</td>
<td>woodmont road south</td>
<td>former md 453</td>
</tr>
<tr>
<th>3</th>
<td>hancock</td>
<td>3.52</td>
<td>us 522 south - berkeley springs, wv</td>
<td>ramp is unsigned us 522b</td>
</tr>
<tr>
<th>4</th>
<td>hancock</td>
<td>3.67</td>
<td>limestone road north</td>
<td>unsigned md 894; old alignment of us 522</td>
</tr>
<tr>
<th>5</th>
<td>hancock</td>
<td>3.75</td>
<td>virginia avenue to us 522 north</td>
<td>unsigned us 522c</td>
</tr>
<tr>
<th>6</th>
<td>hancock</td>
<td>5.91</td>
<td>i-70 / us 40 east (eisenhower memorial highway) - hagerstown, frederick</td>
<td>eastern terminus; i-70 exit 3; no direct access from md 144 to i-70 west; use exit 5 to access i-70 and i-68 west</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>destinations</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>limestone road north</td>
</tr>
</tbody>
</table> | select destinations where mile = '3.67' <table_name> : table | | location | mile | destinations | notes |
|---:|:-----------|-------:|:------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------|
| 0 | woodmont | 0 | i-68 / us 40 (national freeway) - cumberland, hancock | western terminus; i-68 exit 77 |
| 1 | woodmont | 0.12 | us 40 scenic west (national pike) | us 40 scenic is county-maintained but signed |
| 2 | woodmont | 0.25 | woodmont road south | former md 453 |
| 3 | hancock | 3.52 | us 522 south - berkeley springs, wv | ramp is unsigned us 522b |
| 4 | hancock | 3.67 | limestone road north | unsigned md 894; old alignment of us 522 |
| 5 | hancock | 3.75 | virginia avenue to us 522 north | unsigned us 522c |
| 6 | hancock | 5.91 | i-70 / us 40 east (eisenhower memorial highway) - hagerstown, frederick | eastern terminus; i-70 exit 3; no direct access from md 144 to i-70 west; use exit 5 to access i-70 and i-68 west | | | | destinations |
|---:|:---------------------|
| 0 | limestone road north | | [
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select count ( * ) where time > 1 col : rank | name | nationality | time | notes row 1 : none | alberto garcia | spain | 7:43.89 | cr row 2 : none | antonio david jimenez | spain | 7:46.49 | pb row 3 : none | jesus espana | spain | 7:48.08 | pb row 4 : none | john mayock | great britain | 7:48.08 | none row 5 : 5 | michael buchleitner | austria | 7:54.39 | sb row 6 : 6 | mohammed mourhit | belgium | 7:59.79 | none row 7 : 7 | sergey ivanov | russia | 8:02.98 | none row 8 : 8 | mindaugas pukstas | lithuania | 8:03.21 | pb row 9 : 9 | irba lakhal | france | 8:03.38 | none row 10 : 10 | joakim johansson | denmark | 8:06.47 | none row 11 : 11 | harald steindorfer | austria | 8:09.21 | none row 12 : 12 | ferdinando vicari | italy | 8:17.46 | none row 13 : 13 | martin steinbauer | austria | 8:22.06 | none row 14 : 14 | christos papapetrou | cyprus | 8:30.59 | none | col : count ( "*" ) row 1 : 14 | select count ( * ) where time > 1 <table_name> : table \begin{tabular}{llllll}
\toprule
& rank & name & nationality & time & notes \\
\midrule
0 & none & alberto garcia & spain & 7:43.89 & cr \\
1 & none & antonio david jimenez & spain & 7:46.49 & pb \\
2 & none & jesus espana & spain & 7:48.08 & pb \\
3 & none & john mayock & great britain & 7:48.08 & none \\
4 & 5 & michael buchleitner & austria & 7:54.39 & sb \\
5 & 6 & mohammed mourhit & belgium & 7:59.79 & none \\
6 & 7 & sergey ivanov & russia & 8:02.98 & none \\
7 & 8 & mindaugas pukstas & lithuania & 8:03.21 & pb \\
8 & 9 & irba lakhal & france & 8:03.38 & none \\
9 & 10 & joakim johansson & denmark & 8:06.47 & none \\
10 & 11 & harald steindorfer & austria & 8:09.21 & none \\
11 & 12 & ferdinando vicari & italy & 8:17.46 & none \\
12 & 13 & martin steinbauer & austria & 8:22.06 & none \\
13 & 14 & christos papapetrou & cyprus & 8:30.59 & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 14 \\
\bottomrule
\end{tabular}
| select count ( * ) where time > 1 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>name</th>
<th>nationality</th>
<th>time</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>none</td>
<td>alberto garcia</td>
<td>spain</td>
<td>7:43.89</td>
<td>cr</td>
</tr>
<tr>
<th>1</th>
<td>none</td>
<td>antonio david jimenez</td>
<td>spain</td>
<td>7:46.49</td>
<td>pb</td>
</tr>
<tr>
<th>2</th>
<td>none</td>
<td>jesus espana</td>
<td>spain</td>
<td>7:48.08</td>
<td>pb</td>
</tr>
<tr>
<th>3</th>
<td>none</td>
<td>john mayock</td>
<td>great britain</td>
<td>7:48.08</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>michael buchleitner</td>
<td>austria</td>
<td>7:54.39</td>
<td>sb</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>mohammed mourhit</td>
<td>belgium</td>
<td>7:59.79</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>sergey ivanov</td>
<td>russia</td>
<td>8:02.98</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>mindaugas pukstas</td>
<td>lithuania</td>
<td>8:03.21</td>
<td>pb</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>irba lakhal</td>
<td>france</td>
<td>8:03.38</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>joakim johansson</td>
<td>denmark</td>
<td>8:06.47</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>harald steindorfer</td>
<td>austria</td>
<td>8:09.21</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>ferdinando vicari</td>
<td>italy</td>
<td>8:17.46</td>
<td>none</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>martin steinbauer</td>
<td>austria</td>
<td>8:22.06</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>christos papapetrou</td>
<td>cyprus</td>
<td>8:30.59</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>14</td>
</tr>
</tbody>
</table> | select count ( * ) where time > 1 <table_name> : table | | rank | name | nationality | time | notes |
|---:|:-------|:----------------------|:--------------|:--------|:--------|
| 0 | none | alberto garcia | spain | 7:43.89 | cr |
| 1 | none | antonio david jimenez | spain | 7:46.49 | pb |
| 2 | none | jesus espana | spain | 7:48.08 | pb |
| 3 | none | john mayock | great britain | 7:48.08 | none |
| 4 | 5 | michael buchleitner | austria | 7:54.39 | sb |
| 5 | 6 | mohammed mourhit | belgium | 7:59.79 | none |
| 6 | 7 | sergey ivanov | russia | 8:02.98 | none |
| 7 | 8 | mindaugas pukstas | lithuania | 8:03.21 | pb |
| 8 | 9 | irba lakhal | france | 8:03.38 | none |
| 9 | 10 | joakim johansson | denmark | 8:06.47 | none |
| 10 | 11 | harald steindorfer | austria | 8:09.21 | none |
| 11 | 12 | ferdinando vicari | italy | 8:17.46 | none |
| 12 | 13 | martin steinbauer | austria | 8:22.06 | none |
| 13 | 14 | christos papapetrou | cyprus | 8:30.59 | none | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 14 | | [
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] |
select count ( max. players ) where manufacturer = 'alpha denshi' col : title | alternate title(s) | year | manufacturer | genre(s) | max. players row 1 : ocean hunter, the | none | 1998 | sega | shooting gallery | 2 row 2 : off road challenge | none | 1997 | midway | racing | 1 row 3 : off road thunder | none | 2000 | midway | racing | 1 row 4 : off the wall | none | 1991 | atari games | breakout | 2 row 5 : oh my god! | none | 1993 | atlus | puzzle | 2 row 6 : oishii puzzle wa irimasen ka | none | 1993 | sunsoft | puzzle | 2 row 7 : oli-boo-chu | none | 1982 | irem | none | 2 row 8 : ollie king | none | 2004 | smilebit | none | none row 9 : omega fighter | none | 1989 | upl | scrolling shooter | 2 row 10 : omega race | none | 1982 | midway | multidirectional shooter | 1 row 11 : one shot one kill | none | none | playmark | shooting gallery | 2 row 12 : onna sansirou - typhoon gal | none | 1985 | taito | none | 2 row 13 : operation thunderbolt | none | 1988 | taito | shooting gallery | 2 row 14 : operation tiger | none | 1998 | taito | shooting gallery | 2 row 15 : operation wolf | none | 1987 | taito | shooting gallery | 2 row 16 : operation wolf 3 | none | 1994 | taito | shooting gallery | 2 row 17 : orbit | none | 1978 | atari | multi-directional shooter | 2 row 18 : ordyne | none | 1988 | namco | scrolling shooter | 2 row 19 : oriental legend | none | 1997 | international game system | beat 'em up | 4 row 20 : osman | cannon dancer | 1996 | mitchell corporation | platformer | 1 row 21 : otomedius | none | 2007 | konami | scrolling shooter | none row 22 : outfoxies, the | none | 1995 | namco | shoot'em up/ fighting game | 2 row 23 : outlaw | none | 1976 | atari | shooter | 1 row 24 : outrun | none | 1986 | sega am2 | racing | 1 row 25 : out zone | none | 1990 | toaplan | scrolling shooter | 2 row 26 : outrun 2 | none | 2003 | sega am2 | racing | 1 row 27 : outrunners | none | 1993 | sega am1 | racing | 2 row 28 : outtrigger | none | 1999 | sega am2 | first person shooter | none row 29 : over drive | none | 1990 | konami | racing | 1 row 30 : over rev | none | 1997 | jaleco | racing | 2 row 31 : over top | none | 1996 | alpha denshi | racing | 2 row 32 : ozma wars | none | 1978 | snk | fixed shooter | 2 | col : count ( "max. players" ) row 1 : 1 | select count ( max. players ) where manufacturer = 'alpha denshi' <table_name> : table \begin{tabular}{lllllll}
\toprule
& title & alternate title(s) & year & manufacturer & genre(s) & max. players \\
\midrule
0 & ocean hunter, the & none & 1998 & sega & shooting gallery & 2 \\
1 & off road challenge & none & 1997 & midway & racing & 1 \\
2 & off road thunder & none & 2000 & midway & racing & 1 \\
3 & off the wall & none & 1991 & atari games & breakout & 2 \\
4 & oh my god! & none & 1993 & atlus & puzzle & 2 \\
5 & oishii puzzle wa irimasen ka & none & 1993 & sunsoft & puzzle & 2 \\
6 & oli-boo-chu & none & 1982 & irem & none & 2 \\
7 & ollie king & none & 2004 & smilebit & none & none \\
8 & omega fighter & none & 1989 & upl & scrolling shooter & 2 \\
9 & omega race & none & 1982 & midway & multidirectional shooter & 1 \\
10 & one shot one kill & none & none & playmark & shooting gallery & 2 \\
11 & onna sansirou - typhoon gal & none & 1985 & taito & none & 2 \\
12 & operation thunderbolt & none & 1988 & taito & shooting gallery & 2 \\
13 & operation tiger & none & 1998 & taito & shooting gallery & 2 \\
14 & operation wolf & none & 1987 & taito & shooting gallery & 2 \\
15 & operation wolf 3 & none & 1994 & taito & shooting gallery & 2 \\
16 & orbit & none & 1978 & atari & multi-directional shooter & 2 \\
17 & ordyne & none & 1988 & namco & scrolling shooter & 2 \\
18 & oriental legend & none & 1997 & international game system & beat 'em up & 4 \\
19 & osman & cannon dancer & 1996 & mitchell corporation & platformer & 1 \\
20 & otomedius & none & 2007 & konami & scrolling shooter & none \\
21 & outfoxies, the & none & 1995 & namco & shoot'em up/ fighting game & 2 \\
22 & outlaw & none & 1976 & atari & shooter & 1 \\
23 & outrun & none & 1986 & sega am2 & racing & 1 \\
24 & out zone & none & 1990 & toaplan & scrolling shooter & 2 \\
25 & outrun 2 & none & 2003 & sega am2 & racing & 1 \\
26 & outrunners & none & 1993 & sega am1 & racing & 2 \\
27 & outtrigger & none & 1999 & sega am2 & first person shooter & none \\
28 & over drive & none & 1990 & konami & racing & 1 \\
29 & over rev & none & 1997 & jaleco & racing & 2 \\
30 & over top & none & 1996 & alpha denshi & racing & 2 \\
31 & ozma wars & none & 1978 & snk & fixed shooter & 2 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "max. players" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( max. players ) where manufacturer = 'alpha denshi' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>title</th>
<th>alternate title(s)</th>
<th>year</th>
<th>manufacturer</th>
<th>genre(s)</th>
<th>max. players</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>ocean hunter, the</td>
<td>none</td>
<td>1998</td>
<td>sega</td>
<td>shooting gallery</td>
<td>2</td>
</tr>
<tr>
<th>1</th>
<td>off road challenge</td>
<td>none</td>
<td>1997</td>
<td>midway</td>
<td>racing</td>
<td>1</td>
</tr>
<tr>
<th>2</th>
<td>off road thunder</td>
<td>none</td>
<td>2000</td>
<td>midway</td>
<td>racing</td>
<td>1</td>
</tr>
<tr>
<th>3</th>
<td>off the wall</td>
<td>none</td>
<td>1991</td>
<td>atari games</td>
<td>breakout</td>
<td>2</td>
</tr>
<tr>
<th>4</th>
<td>oh my god!</td>
<td>none</td>
<td>1993</td>
<td>atlus</td>
<td>puzzle</td>
<td>2</td>
</tr>
<tr>
<th>5</th>
<td>oishii puzzle wa irimasen ka</td>
<td>none</td>
<td>1993</td>
<td>sunsoft</td>
<td>puzzle</td>
<td>2</td>
</tr>
<tr>
<th>6</th>
<td>oli-boo-chu</td>
<td>none</td>
<td>1982</td>
<td>irem</td>
<td>none</td>
<td>2</td>
</tr>
<tr>
<th>7</th>
<td>ollie king</td>
<td>none</td>
<td>2004</td>
<td>smilebit</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>omega fighter</td>
<td>none</td>
<td>1989</td>
<td>upl</td>
<td>scrolling shooter</td>
<td>2</td>
</tr>
<tr>
<th>9</th>
<td>omega race</td>
<td>none</td>
<td>1982</td>
<td>midway</td>
<td>multidirectional shooter</td>
<td>1</td>
</tr>
<tr>
<th>10</th>
<td>one shot one kill</td>
<td>none</td>
<td>none</td>
<td>playmark</td>
<td>shooting gallery</td>
<td>2</td>
</tr>
<tr>
<th>11</th>
<td>onna sansirou - typhoon gal</td>
<td>none</td>
<td>1985</td>
<td>taito</td>
<td>none</td>
<td>2</td>
</tr>
<tr>
<th>12</th>
<td>operation thunderbolt</td>
<td>none</td>
<td>1988</td>
<td>taito</td>
<td>shooting gallery</td>
<td>2</td>
</tr>
<tr>
<th>13</th>
<td>operation tiger</td>
<td>none</td>
<td>1998</td>
<td>taito</td>
<td>shooting gallery</td>
<td>2</td>
</tr>
<tr>
<th>14</th>
<td>operation wolf</td>
<td>none</td>
<td>1987</td>
<td>taito</td>
<td>shooting gallery</td>
<td>2</td>
</tr>
<tr>
<th>15</th>
<td>operation wolf 3</td>
<td>none</td>
<td>1994</td>
<td>taito</td>
<td>shooting gallery</td>
<td>2</td>
</tr>
<tr>
<th>16</th>
<td>orbit</td>
<td>none</td>
<td>1978</td>
<td>atari</td>
<td>multi-directional shooter</td>
<td>2</td>
</tr>
<tr>
<th>17</th>
<td>ordyne</td>
<td>none</td>
<td>1988</td>
<td>namco</td>
<td>scrolling shooter</td>
<td>2</td>
</tr>
<tr>
<th>18</th>
<td>oriental legend</td>
<td>none</td>
<td>1997</td>
<td>international game system</td>
<td>beat 'em up</td>
<td>4</td>
</tr>
<tr>
<th>19</th>
<td>osman</td>
<td>cannon dancer</td>
<td>1996</td>
<td>mitchell corporation</td>
<td>platformer</td>
<td>1</td>
</tr>
<tr>
<th>20</th>
<td>otomedius</td>
<td>none</td>
<td>2007</td>
<td>konami</td>
<td>scrolling shooter</td>
<td>none</td>
</tr>
<tr>
<th>21</th>
<td>outfoxies, the</td>
<td>none</td>
<td>1995</td>
<td>namco</td>
<td>shoot'em up/ fighting game</td>
<td>2</td>
</tr>
<tr>
<th>22</th>
<td>outlaw</td>
<td>none</td>
<td>1976</td>
<td>atari</td>
<td>shooter</td>
<td>1</td>
</tr>
<tr>
<th>23</th>
<td>outrun</td>
<td>none</td>
<td>1986</td>
<td>sega am2</td>
<td>racing</td>
<td>1</td>
</tr>
<tr>
<th>24</th>
<td>out zone</td>
<td>none</td>
<td>1990</td>
<td>toaplan</td>
<td>scrolling shooter</td>
<td>2</td>
</tr>
<tr>
<th>25</th>
<td>outrun 2</td>
<td>none</td>
<td>2003</td>
<td>sega am2</td>
<td>racing</td>
<td>1</td>
</tr>
<tr>
<th>26</th>
<td>outrunners</td>
<td>none</td>
<td>1993</td>
<td>sega am1</td>
<td>racing</td>
<td>2</td>
</tr>
<tr>
<th>27</th>
<td>outtrigger</td>
<td>none</td>
<td>1999</td>
<td>sega am2</td>
<td>first person shooter</td>
<td>none</td>
</tr>
<tr>
<th>28</th>
<td>over drive</td>
<td>none</td>
<td>1990</td>
<td>konami</td>
<td>racing</td>
<td>1</td>
</tr>
<tr>
<th>29</th>
<td>over rev</td>
<td>none</td>
<td>1997</td>
<td>jaleco</td>
<td>racing</td>
<td>2</td>
</tr>
<tr>
<th>30</th>
<td>over top</td>
<td>none</td>
<td>1996</td>
<td>alpha denshi</td>
<td>racing</td>
<td>2</td>
</tr>
<tr>
<th>31</th>
<td>ozma wars</td>
<td>none</td>
<td>1978</td>
<td>snk</td>
<td>fixed shooter</td>
<td>2</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "max. players" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( max. players ) where manufacturer = 'alpha denshi' <table_name> : table | | title | alternate title(s) | year | manufacturer | genre(s) | max. players |
|---:|:-----------------------------|:---------------------|:-------|:--------------------------|:---------------------------|:---------------|
| 0 | ocean hunter, the | none | 1998 | sega | shooting gallery | 2 |
| 1 | off road challenge | none | 1997 | midway | racing | 1 |
| 2 | off road thunder | none | 2000 | midway | racing | 1 |
| 3 | off the wall | none | 1991 | atari games | breakout | 2 |
| 4 | oh my god! | none | 1993 | atlus | puzzle | 2 |
| 5 | oishii puzzle wa irimasen ka | none | 1993 | sunsoft | puzzle | 2 |
| 6 | oli-boo-chu | none | 1982 | irem | none | 2 |
| 7 | ollie king | none | 2004 | smilebit | none | none |
| 8 | omega fighter | none | 1989 | upl | scrolling shooter | 2 |
| 9 | omega race | none | 1982 | midway | multidirectional shooter | 1 |
| 10 | one shot one kill | none | none | playmark | shooting gallery | 2 |
| 11 | onna sansirou - typhoon gal | none | 1985 | taito | none | 2 |
| 12 | operation thunderbolt | none | 1988 | taito | shooting gallery | 2 |
| 13 | operation tiger | none | 1998 | taito | shooting gallery | 2 |
| 14 | operation wolf | none | 1987 | taito | shooting gallery | 2 |
| 15 | operation wolf 3 | none | 1994 | taito | shooting gallery | 2 |
| 16 | orbit | none | 1978 | atari | multi-directional shooter | 2 |
| 17 | ordyne | none | 1988 | namco | scrolling shooter | 2 |
| 18 | oriental legend | none | 1997 | international game system | beat 'em up | 4 |
| 19 | osman | cannon dancer | 1996 | mitchell corporation | platformer | 1 |
| 20 | otomedius | none | 2007 | konami | scrolling shooter | none |
| 21 | outfoxies, the | none | 1995 | namco | shoot'em up/ fighting game | 2 |
| 22 | outlaw | none | 1976 | atari | shooter | 1 |
| 23 | outrun | none | 1986 | sega am2 | racing | 1 |
| 24 | out zone | none | 1990 | toaplan | scrolling shooter | 2 |
| 25 | outrun 2 | none | 2003 | sega am2 | racing | 1 |
| 26 | outrunners | none | 1993 | sega am1 | racing | 2 |
| 27 | outtrigger | none | 1999 | sega am2 | first person shooter | none |
| 28 | over drive | none | 1990 | konami | racing | 1 |
| 29 | over rev | none | 1997 | jaleco | racing | 2 |
| 30 | over top | none | 1996 | alpha denshi | racing | 2 |
| 31 | ozma wars | none | 1978 | snk | fixed shooter | 2 | | | | count ( "max. players" ) |
|---:|---------------------------:|
| 0 | 1 | | [
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select count ( * ) where record = '4-4-0' and pts < 4 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 : count ( "*" ) row 1 : 0 | select count ( * ) where record = '4-4-0' and pts < 4 <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
& count ( "*" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( * ) where record = '4-4-0' and pts < 4 <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>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select count ( * ) where record = '4-4-0' and pts < 4 <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 | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 0 | | [
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select count ( * ) where result = '0-0' col : date | location | opponent | result | competition row 1 : 2013-01-19 00:00:00 | concepcion, chile | chile | 0-3 | f row 2 : 2013-02-06 00:00:00 | santa cruz de la sierra, bolivia | bolivia | 1-2 | f row 3 : 2013-03-20 00:00:00 | muscat, oman | oman | 0-3 | f row 4 : 2013-03-24 00:00:00 | santo domingo, dominican republic | dominican republic | 1-3 | f row 5 : 2013-06-08 00:00:00 | miami, united states | spain | 1-2 | f row 6 : 2013-06-11 00:00:00 | rio de janeiro, brazil | italy | 2-2 | f row 7 : 2013-07-08 00:00:00 | harrison, united states | honduras | 0-2 | gc row 8 : 2013-07-12 00:00:00 | miami gardens, united states | trinidad and tobago | 2-0 | gc row 9 : 2013-07-15 00:00:00 | houston, united states | el salvador | 0-1 | gc row 10 : 2013-09-06 00:00:00 | incheon, south korea | south korea | 1-4 | f row 11 : 2014-03-05 00:00:00 | mitrovica, kosovo | kosovo | 0-0 | f | col : count ( "*" ) row 1 : 1 | select count ( * ) where result = '0-0' <table_name> : table \begin{tabular}{llllll}
\toprule
& date & location & opponent & result & competition \\
\midrule
0 & 2013-01-19 00:00:00 & concepcion, chile & chile & 0-3 & f \\
1 & 2013-02-06 00:00:00 & santa cruz de la sierra, bolivia & bolivia & 1-2 & f \\
2 & 2013-03-20 00:00:00 & muscat, oman & oman & 0-3 & f \\
3 & 2013-03-24 00:00:00 & santo domingo, dominican republic & dominican republic & 1-3 & f \\
4 & 2013-06-08 00:00:00 & miami, united states & spain & 1-2 & f \\
5 & 2013-06-11 00:00:00 & rio de janeiro, brazil & italy & 2-2 & f \\
6 & 2013-07-08 00:00:00 & harrison, united states & honduras & 0-2 & gc \\
7 & 2013-07-12 00:00:00 & miami gardens, united states & trinidad and tobago & 2-0 & gc \\
8 & 2013-07-15 00:00:00 & houston, united states & el salvador & 0-1 & gc \\
9 & 2013-09-06 00:00:00 & incheon, south korea & south korea & 1-4 & f \\
10 & 2014-03-05 00:00:00 & mitrovica, kosovo & kosovo & 0-0 & f \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( * ) where result = '0-0' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>date</th>
<th>location</th>
<th>opponent</th>
<th>result</th>
<th>competition</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2013-01-19 00:00:00</td>
<td>concepcion, chile</td>
<td>chile</td>
<td>0-3</td>
<td>f</td>
</tr>
<tr>
<th>1</th>
<td>2013-02-06 00:00:00</td>
<td>santa cruz de la sierra, bolivia</td>
<td>bolivia</td>
<td>1-2</td>
<td>f</td>
</tr>
<tr>
<th>2</th>
<td>2013-03-20 00:00:00</td>
<td>muscat, oman</td>
<td>oman</td>
<td>0-3</td>
<td>f</td>
</tr>
<tr>
<th>3</th>
<td>2013-03-24 00:00:00</td>
<td>santo domingo, dominican republic</td>
<td>dominican republic</td>
<td>1-3</td>
<td>f</td>
</tr>
<tr>
<th>4</th>
<td>2013-06-08 00:00:00</td>
<td>miami, united states</td>
<td>spain</td>
<td>1-2</td>
<td>f</td>
</tr>
<tr>
<th>5</th>
<td>2013-06-11 00:00:00</td>
<td>rio de janeiro, brazil</td>
<td>italy</td>
<td>2-2</td>
<td>f</td>
</tr>
<tr>
<th>6</th>
<td>2013-07-08 00:00:00</td>
<td>harrison, united states</td>
<td>honduras</td>
<td>0-2</td>
<td>gc</td>
</tr>
<tr>
<th>7</th>
<td>2013-07-12 00:00:00</td>
<td>miami gardens, united states</td>
<td>trinidad and tobago</td>
<td>2-0</td>
<td>gc</td>
</tr>
<tr>
<th>8</th>
<td>2013-07-15 00:00:00</td>
<td>houston, united states</td>
<td>el salvador</td>
<td>0-1</td>
<td>gc</td>
</tr>
<tr>
<th>9</th>
<td>2013-09-06 00:00:00</td>
<td>incheon, south korea</td>
<td>south korea</td>
<td>1-4</td>
<td>f</td>
</tr>
<tr>
<th>10</th>
<td>2014-03-05 00:00:00</td>
<td>mitrovica, kosovo</td>
<td>kosovo</td>
<td>0-0</td>
<td>f</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 result = '0-0' <table_name> : table | | date | location | opponent | result | competition |
|---:|:--------------------|:----------------------------------|:--------------------|:---------|:--------------|
| 0 | 2013-01-19 00:00:00 | concepcion, chile | chile | 0-3 | f |
| 1 | 2013-02-06 00:00:00 | santa cruz de la sierra, bolivia | bolivia | 1-2 | f |
| 2 | 2013-03-20 00:00:00 | muscat, oman | oman | 0-3 | f |
| 3 | 2013-03-24 00:00:00 | santo domingo, dominican republic | dominican republic | 1-3 | f |
| 4 | 2013-06-08 00:00:00 | miami, united states | spain | 1-2 | f |
| 5 | 2013-06-11 00:00:00 | rio de janeiro, brazil | italy | 2-2 | f |
| 6 | 2013-07-08 00:00:00 | harrison, united states | honduras | 0-2 | gc |
| 7 | 2013-07-12 00:00:00 | miami gardens, united states | trinidad and tobago | 2-0 | gc |
| 8 | 2013-07-15 00:00:00 | houston, united states | el salvador | 0-1 | gc |
| 9 | 2013-09-06 00:00:00 | incheon, south korea | south korea | 1-4 | f |
| 10 | 2014-03-05 00:00:00 | mitrovica, kosovo | kosovo | 0-0 | f | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 1 | | [
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select count ( notes ) where year = 2003 col : year | title | role | notes row 1 : 1990 | mico preto | denise menezes garcia | none row 2 : 1990 | meu bem, meu mal | none | cameo row 3 : 1992 | voce decide | none | ep: "tabu" row 4 : 1992 | escolinha do professor raimundo | capituzinha | none row 5 : 1992 | voce decide | none | ep: "mamae coragem" row 6 : 1993 | contos de verao | fabiola | none row 7 : 1994 | confissoes de adolescente | carol | none row 8 : 1995 | a proxima vitima | carina carvalho rossi | none row 9 : 1996 | voce decide | none | ep: "justica" row 10 : 1996 | vira-lata | tatu / barbara | none row 11 : 1997 | zaza | dora dumont | none row 12 : 1998 | era uma vez | emilia zanella | none row 13 : 1999 | mundo vip | herself | cameo row 14 : 1999 | suave veneno | marina canhedo | none row 15 : 1999 | voce decide | socorro | ep: "a filha de maria" row 16 : 1999 | terra nostra | hannah | cameo row 17 : 2000 | a invencao do brasil | moema | none row 18 : 2000 | lacos de familia | iris frank lacerda | none row 19 : 2001 | sitio do picapau amarelo | none | ep: "a festa da cuca" row 20 : 2001 | a padroeira | cecilia de sa | none row 21 : 2002 | festival de desenhos | herself | hoster row 22 : 2002 | brava gente | jane | ep: "loucos de pedra" row 23 : 2002 | os normais | katia | ep: "e nojento, mas e normal" row 24 : 2002 | o beijo do vampiro | lara | none row 25 : 2003 | homem objeto | eva | none row 26 : 2003 | celebridade | darlene sampaio | none row 27 : 2004 | casseta & planeta, urgente! | darlene sampaio | cameo row 28 : 2005 | america | sol de oliveira | none row 29 : 2006 | danca no gelo | herself | reality show of domingao do faustao row 30 : 2006 | pe na jaca | elizabeth aparecida barra | none row 31 : 2007 | paraiso tropical | betina monteiro | cameo row 32 : 2008 | episodio especial | herself | cameo row 33 : 2008 | a favorita | maria do ceu / pamela queiroz | none row 34 : 2009 | decamerao - a comedia do sexo | monna | none row 35 : 2009 | o pai, o | keila cristina | ep: "a outra" row 36 : 2009 | episodio especial | herself | cameo row 37 : 2010 | as cariocas | alice | ep: "a suicida da lapa" row 38 : 2011 | insensato coracao | natalie lamour | none row 39 : 2012 | louco por elas | giovanna bianchi | none row 40 : 2013 | a grande familia | bianca | cameo | col : count ( "notes" ) row 1 : 2 | select count ( notes ) where year = 2003 <table_name> : table \begin{tabular}{lllll}
\toprule
& year & title & role & notes \\
\midrule
0 & 1990 & mico preto & denise menezes garcia & none \\
1 & 1990 & meu bem, meu mal & none & cameo \\
2 & 1992 & voce decide & none & ep: "tabu" \\
3 & 1992 & escolinha do professor raimundo & capituzinha & none \\
4 & 1992 & voce decide & none & ep: "mamae coragem" \\
5 & 1993 & contos de verao & fabiola & none \\
6 & 1994 & confissoes de adolescente & carol & none \\
7 & 1995 & a proxima vitima & carina carvalho rossi & none \\
8 & 1996 & voce decide & none & ep: "justica" \\
9 & 1996 & vira-lata & tatu / barbara & none \\
10 & 1997 & zaza & dora dumont & none \\
11 & 1998 & era uma vez & emilia zanella & none \\
12 & 1999 & mundo vip & herself & cameo \\
13 & 1999 & suave veneno & marina canhedo & none \\
14 & 1999 & voce decide & socorro & ep: "a filha de maria" \\
15 & 1999 & terra nostra & hannah & cameo \\
16 & 2000 & a invencao do brasil & moema & none \\
17 & 2000 & lacos de familia & iris frank lacerda & none \\
18 & 2001 & sitio do picapau amarelo & none & ep: "a festa da cuca" \\
19 & 2001 & a padroeira & cecilia de sa & none \\
20 & 2002 & festival de desenhos & herself & hoster \\
21 & 2002 & brava gente & jane & ep: "loucos de pedra" \\
22 & 2002 & os normais & katia & ep: "e nojento, mas e normal" \\
23 & 2002 & o beijo do vampiro & lara & none \\
24 & 2003 & homem objeto & eva & none \\
25 & 2003 & celebridade & darlene sampaio & none \\
26 & 2004 & casseta & planeta, urgente! & darlene sampaio & cameo \\
27 & 2005 & america & sol de oliveira & none \\
28 & 2006 & danca no gelo & herself & reality show of domingao do faustao \\
29 & 2006 & pe na jaca & elizabeth aparecida barra & none \\
30 & 2007 & paraiso tropical & betina monteiro & cameo \\
31 & 2008 & episodio especial & herself & cameo \\
32 & 2008 & a favorita & maria do ceu / pamela queiroz & none \\
33 & 2009 & decamerao - a comedia do sexo & monna & none \\
34 & 2009 & o pai, o & keila cristina & ep: "a outra" \\
35 & 2009 & episodio especial & herself & cameo \\
36 & 2010 & as cariocas & alice & ep: "a suicida da lapa" \\
37 & 2011 & insensato coracao & natalie lamour & none \\
38 & 2012 & louco por elas & giovanna bianchi & none \\
39 & 2013 & a grande familia & bianca & cameo \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "notes" ) \\
\midrule
0 & 2 \\
\bottomrule
\end{tabular}
| select count ( notes ) where year = 2003 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>title</th>
<th>role</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1990</td>
<td>mico preto</td>
<td>denise menezes garcia</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>1990</td>
<td>meu bem, meu mal</td>
<td>none</td>
<td>cameo</td>
</tr>
<tr>
<th>2</th>
<td>1992</td>
<td>voce decide</td>
<td>none</td>
<td>ep: "tabu"</td>
</tr>
<tr>
<th>3</th>
<td>1992</td>
<td>escolinha do professor raimundo</td>
<td>capituzinha</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>1992</td>
<td>voce decide</td>
<td>none</td>
<td>ep: "mamae coragem"</td>
</tr>
<tr>
<th>5</th>
<td>1993</td>
<td>contos de verao</td>
<td>fabiola</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>1994</td>
<td>confissoes de adolescente</td>
<td>carol</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>1995</td>
<td>a proxima vitima</td>
<td>carina carvalho rossi</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>1996</td>
<td>voce decide</td>
<td>none</td>
<td>ep: "justica"</td>
</tr>
<tr>
<th>9</th>
<td>1996</td>
<td>vira-lata</td>
<td>tatu / barbara</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>1997</td>
<td>zaza</td>
<td>dora dumont</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>1998</td>
<td>era uma vez</td>
<td>emilia zanella</td>
<td>none</td>
</tr>
<tr>
<th>12</th>
<td>1999</td>
<td>mundo vip</td>
<td>herself</td>
<td>cameo</td>
</tr>
<tr>
<th>13</th>
<td>1999</td>
<td>suave veneno</td>
<td>marina canhedo</td>
<td>none</td>
</tr>
<tr>
<th>14</th>
<td>1999</td>
<td>voce decide</td>
<td>socorro</td>
<td>ep: "a filha de maria"</td>
</tr>
<tr>
<th>15</th>
<td>1999</td>
<td>terra nostra</td>
<td>hannah</td>
<td>cameo</td>
</tr>
<tr>
<th>16</th>
<td>2000</td>
<td>a invencao do brasil</td>
<td>moema</td>
<td>none</td>
</tr>
<tr>
<th>17</th>
<td>2000</td>
<td>lacos de familia</td>
<td>iris frank lacerda</td>
<td>none</td>
</tr>
<tr>
<th>18</th>
<td>2001</td>
<td>sitio do picapau amarelo</td>
<td>none</td>
<td>ep: "a festa da cuca"</td>
</tr>
<tr>
<th>19</th>
<td>2001</td>
<td>a padroeira</td>
<td>cecilia de sa</td>
<td>none</td>
</tr>
<tr>
<th>20</th>
<td>2002</td>
<td>festival de desenhos</td>
<td>herself</td>
<td>hoster</td>
</tr>
<tr>
<th>21</th>
<td>2002</td>
<td>brava gente</td>
<td>jane</td>
<td>ep: "loucos de pedra"</td>
</tr>
<tr>
<th>22</th>
<td>2002</td>
<td>os normais</td>
<td>katia</td>
<td>ep: "e nojento, mas e normal"</td>
</tr>
<tr>
<th>23</th>
<td>2002</td>
<td>o beijo do vampiro</td>
<td>lara</td>
<td>none</td>
</tr>
<tr>
<th>24</th>
<td>2003</td>
<td>homem objeto</td>
<td>eva</td>
<td>none</td>
</tr>
<tr>
<th>25</th>
<td>2003</td>
<td>celebridade</td>
<td>darlene sampaio</td>
<td>none</td>
</tr>
<tr>
<th>26</th>
<td>2004</td>
<td>casseta & planeta, urgente!</td>
<td>darlene sampaio</td>
<td>cameo</td>
</tr>
<tr>
<th>27</th>
<td>2005</td>
<td>america</td>
<td>sol de oliveira</td>
<td>none</td>
</tr>
<tr>
<th>28</th>
<td>2006</td>
<td>danca no gelo</td>
<td>herself</td>
<td>reality show of domingao do faustao</td>
</tr>
<tr>
<th>29</th>
<td>2006</td>
<td>pe na jaca</td>
<td>elizabeth aparecida barra</td>
<td>none</td>
</tr>
<tr>
<th>30</th>
<td>2007</td>
<td>paraiso tropical</td>
<td>betina monteiro</td>
<td>cameo</td>
</tr>
<tr>
<th>31</th>
<td>2008</td>
<td>episodio especial</td>
<td>herself</td>
<td>cameo</td>
</tr>
<tr>
<th>32</th>
<td>2008</td>
<td>a favorita</td>
<td>maria do ceu / pamela queiroz</td>
<td>none</td>
</tr>
<tr>
<th>33</th>
<td>2009</td>
<td>decamerao - a comedia do sexo</td>
<td>monna</td>
<td>none</td>
</tr>
<tr>
<th>34</th>
<td>2009</td>
<td>o pai, o</td>
<td>keila cristina</td>
<td>ep: "a outra"</td>
</tr>
<tr>
<th>35</th>
<td>2009</td>
<td>episodio especial</td>
<td>herself</td>
<td>cameo</td>
</tr>
<tr>
<th>36</th>
<td>2010</td>
<td>as cariocas</td>
<td>alice</td>
<td>ep: "a suicida da lapa"</td>
</tr>
<tr>
<th>37</th>
<td>2011</td>
<td>insensato coracao</td>
<td>natalie lamour</td>
<td>none</td>
</tr>
<tr>
<th>38</th>
<td>2012</td>
<td>louco por elas</td>
<td>giovanna bianchi</td>
<td>none</td>
</tr>
<tr>
<th>39</th>
<td>2013</td>
<td>a grande familia</td>
<td>bianca</td>
<td>cameo</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "notes" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2</td>
</tr>
</tbody>
</table> | select count ( notes ) where year = 2003 <table_name> : table | | year | title | role | notes |
|---:|-------:|:--------------------------------|:------------------------------|:------------------------------------|
| 0 | 1990 | mico preto | denise menezes garcia | none |
| 1 | 1990 | meu bem, meu mal | none | cameo |
| 2 | 1992 | voce decide | none | ep: "tabu" |
| 3 | 1992 | escolinha do professor raimundo | capituzinha | none |
| 4 | 1992 | voce decide | none | ep: "mamae coragem" |
| 5 | 1993 | contos de verao | fabiola | none |
| 6 | 1994 | confissoes de adolescente | carol | none |
| 7 | 1995 | a proxima vitima | carina carvalho rossi | none |
| 8 | 1996 | voce decide | none | ep: "justica" |
| 9 | 1996 | vira-lata | tatu / barbara | none |
| 10 | 1997 | zaza | dora dumont | none |
| 11 | 1998 | era uma vez | emilia zanella | none |
| 12 | 1999 | mundo vip | herself | cameo |
| 13 | 1999 | suave veneno | marina canhedo | none |
| 14 | 1999 | voce decide | socorro | ep: "a filha de maria" |
| 15 | 1999 | terra nostra | hannah | cameo |
| 16 | 2000 | a invencao do brasil | moema | none |
| 17 | 2000 | lacos de familia | iris frank lacerda | none |
| 18 | 2001 | sitio do picapau amarelo | none | ep: "a festa da cuca" |
| 19 | 2001 | a padroeira | cecilia de sa | none |
| 20 | 2002 | festival de desenhos | herself | hoster |
| 21 | 2002 | brava gente | jane | ep: "loucos de pedra" |
| 22 | 2002 | os normais | katia | ep: "e nojento, mas e normal" |
| 23 | 2002 | o beijo do vampiro | lara | none |
| 24 | 2003 | homem objeto | eva | none |
| 25 | 2003 | celebridade | darlene sampaio | none |
| 26 | 2004 | casseta & planeta, urgente! | darlene sampaio | cameo |
| 27 | 2005 | america | sol de oliveira | none |
| 28 | 2006 | danca no gelo | herself | reality show of domingao do faustao |
| 29 | 2006 | pe na jaca | elizabeth aparecida barra | none |
| 30 | 2007 | paraiso tropical | betina monteiro | cameo |
| 31 | 2008 | episodio especial | herself | cameo |
| 32 | 2008 | a favorita | maria do ceu / pamela queiroz | none |
| 33 | 2009 | decamerao - a comedia do sexo | monna | none |
| 34 | 2009 | o pai, o | keila cristina | ep: "a outra" |
| 35 | 2009 | episodio especial | herself | cameo |
| 36 | 2010 | as cariocas | alice | ep: "a suicida da lapa" |
| 37 | 2011 | insensato coracao | natalie lamour | none |
| 38 | 2012 | louco por elas | giovanna bianchi | none |
| 39 | 2013 | a grande familia | bianca | cameo | | | | count ( "notes" ) |
|---:|--------------------:|
| 0 | 2 | | [
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select count ( position ) where name = 'totals' col : place | position | number | name | nasl | playoffs | cfu club championship | concacaf champions league | total row 1 : 1 | fw | 11 | nicholas addlery | 9 | 0 | 0 | 1 | 10 row 2 : 2 | fw | 9 | jonathan fana | 4 | 0 | 4 | 0 | 8 row 3 : 3 | fw | 7 | david foley | 6 | 1 | 0 | 0 | 7 row 4 : 3 | fw | 24 | hector ramos | 3 | 0 | 2 | 2 | 7 row 5 : 5 | df | 33 | jay needham | 3 | 0 | 0 | 0 | 3 row 6 : 5 | fw | 22 | gregory richardson | 1 | 0 | 1 | 1 | 3 row 7 : 7 | mf | 20 | josh hansen | 0 | 0 | 2 | 0 | 2 row 8 : 7 | none | none | own goal | 0 | 0 | 2 | 0 | 2 row 9 : 9 | df | 3 | richard martinez | 1 | 0 | 0 | 0 | 1 row 10 : 9 | df | 16 | anthony vazquez | 1 | 0 | 0 | 0 | 1 row 11 : 9 | df | 5 | noah delgado | 1 | 0 | 0 | 0 | 1 row 12 : 9 | mf | 14 | jarad van schaik | 1 | 0 | 0 | 0 | 1 row 13 : 9 | mf | 17 | tyler wilson | 1 | 0 | 0 | 0 | 1 row 14 : 9 | mf | 24 | justin fojo | 1 | 0 | 0 | 0 | 1 row 15 : none | none | none | totals | 32 | 1 | 11 | 4 | 48 | col : count ( "position" ) row 1 : 1 | select count ( position ) where name = 'totals' <table_name> : table \begin{tabular}{llllllllll}
\toprule
& place & position & number & name & nasl & playoffs & cfu club championship & concacaf champions league & total \\
\midrule
0 & 1 & fw & 11 & nicholas addlery & 9 & 0 & 0 & 1 & 10 \\
1 & 2 & fw & 9 & jonathan fana & 4 & 0 & 4 & 0 & 8 \\
2 & 3 & fw & 7 & david foley & 6 & 1 & 0 & 0 & 7 \\
3 & 3 & fw & 24 & hector ramos & 3 & 0 & 2 & 2 & 7 \\
4 & 5 & df & 33 & jay needham & 3 & 0 & 0 & 0 & 3 \\
5 & 5 & fw & 22 & gregory richardson & 1 & 0 & 1 & 1 & 3 \\
6 & 7 & mf & 20 & josh hansen & 0 & 0 & 2 & 0 & 2 \\
7 & 7 & none & none & own goal & 0 & 0 & 2 & 0 & 2 \\
8 & 9 & df & 3 & richard martinez & 1 & 0 & 0 & 0 & 1 \\
9 & 9 & df & 16 & anthony vazquez & 1 & 0 & 0 & 0 & 1 \\
10 & 9 & df & 5 & noah delgado & 1 & 0 & 0 & 0 & 1 \\
11 & 9 & mf & 14 & jarad van schaik & 1 & 0 & 0 & 0 & 1 \\
12 & 9 & mf & 17 & tyler wilson & 1 & 0 & 0 & 0 & 1 \\
13 & 9 & mf & 24 & justin fojo & 1 & 0 & 0 & 0 & 1 \\
14 & none & none & none & totals & 32 & 1 & 11 & 4 & 48 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "position" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( position ) where name = 'totals' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>place</th>
<th>position</th>
<th>number</th>
<th>name</th>
<th>nasl</th>
<th>playoffs</th>
<th>cfu club championship</th>
<th>concacaf champions league</th>
<th>total</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>fw</td>
<td>11</td>
<td>nicholas addlery</td>
<td>9</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>10</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>fw</td>
<td>9</td>
<td>jonathan fana</td>
<td>4</td>
<td>0</td>
<td>4</td>
<td>0</td>
<td>8</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>fw</td>
<td>7</td>
<td>david foley</td>
<td>6</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>7</td>
</tr>
<tr>
<th>3</th>
<td>3</td>
<td>fw</td>
<td>24</td>
<td>hector ramos</td>
<td>3</td>
<td>0</td>
<td>2</td>
<td>2</td>
<td>7</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>df</td>
<td>33</td>
<td>jay needham</td>
<td>3</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>3</td>
</tr>
<tr>
<th>5</th>
<td>5</td>
<td>fw</td>
<td>22</td>
<td>gregory richardson</td>
<td>1</td>
<td>0</td>
<td>1</td>
<td>1</td>
<td>3</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>mf</td>
<td>20</td>
<td>josh hansen</td>
<td>0</td>
<td>0</td>
<td>2</td>
<td>0</td>
<td>2</td>
</tr>
<tr>
<th>7</th>
<td>7</td>
<td>none</td>
<td>none</td>
<td>own goal</td>
<td>0</td>
<td>0</td>
<td>2</td>
<td>0</td>
<td>2</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>df</td>
<td>3</td>
<td>richard martinez</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>9</th>
<td>9</td>
<td>df</td>
<td>16</td>
<td>anthony vazquez</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>10</th>
<td>9</td>
<td>df</td>
<td>5</td>
<td>noah delgado</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>11</th>
<td>9</td>
<td>mf</td>
<td>14</td>
<td>jarad van schaik</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>12</th>
<td>9</td>
<td>mf</td>
<td>17</td>
<td>tyler wilson</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>13</th>
<td>9</td>
<td>mf</td>
<td>24</td>
<td>justin fojo</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>14</th>
<td>none</td>
<td>none</td>
<td>none</td>
<td>totals</td>
<td>32</td>
<td>1</td>
<td>11</td>
<td>4</td>
<td>48</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 name = 'totals' <table_name> : table | | place | position | number | name | nasl | playoffs | cfu club championship | concacaf champions league | total |
|---:|:--------|:-----------|:---------|:-------------------|-------:|-----------:|------------------------:|----------------------------:|--------:|
| 0 | 1 | fw | 11 | nicholas addlery | 9 | 0 | 0 | 1 | 10 |
| 1 | 2 | fw | 9 | jonathan fana | 4 | 0 | 4 | 0 | 8 |
| 2 | 3 | fw | 7 | david foley | 6 | 1 | 0 | 0 | 7 |
| 3 | 3 | fw | 24 | hector ramos | 3 | 0 | 2 | 2 | 7 |
| 4 | 5 | df | 33 | jay needham | 3 | 0 | 0 | 0 | 3 |
| 5 | 5 | fw | 22 | gregory richardson | 1 | 0 | 1 | 1 | 3 |
| 6 | 7 | mf | 20 | josh hansen | 0 | 0 | 2 | 0 | 2 |
| 7 | 7 | none | none | own goal | 0 | 0 | 2 | 0 | 2 |
| 8 | 9 | df | 3 | richard martinez | 1 | 0 | 0 | 0 | 1 |
| 9 | 9 | df | 16 | anthony vazquez | 1 | 0 | 0 | 0 | 1 |
| 10 | 9 | df | 5 | noah delgado | 1 | 0 | 0 | 0 | 1 |
| 11 | 9 | mf | 14 | jarad van schaik | 1 | 0 | 0 | 0 | 1 |
| 12 | 9 | mf | 17 | tyler wilson | 1 | 0 | 0 | 0 | 1 |
| 13 | 9 | mf | 24 | justin fojo | 1 | 0 | 0 | 0 | 1 |
| 14 | none | none | none | totals | 32 | 1 | 11 | 4 | 48 | | | | count ( "position" ) |
|---:|-----------------------:|
| 0 | 1 | | [
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[
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select caucusing where group = 'rpr group' col : group | members | caucusing | total row 1 : socialist group | 242 | 8 | 250 row 2 : rpr group | 136 | 6 | 140 row 3 : udf group | 107 | 6 | 113 row 4 : communist group | 34 | 2 | 36 row 5 : radical, citizen and green | 33 | 0 | 33 row 6 : non-inscrits | 5 | 0 | 5 row 7 : total | 555 | 22 | 577 | col : caucusing row 1 : 6 | select caucusing where group = 'rpr group' <table_name> : table \begin{tabular}{lllll}
\toprule
& group & members & caucusing & total \\
\midrule
0 & socialist group & 242 & 8 & 250 \\
1 & rpr group & 136 & 6 & 140 \\
2 & udf group & 107 & 6 & 113 \\
3 & communist group & 34 & 2 & 36 \\
4 & radical, citizen and green & 33 & 0 & 33 \\
5 & non-inscrits & 5 & 0 & 5 \\
6 & total & 555 & 22 & 577 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& caucusing \\
\midrule
0 & 6 \\
\bottomrule
\end{tabular}
| select caucusing where group = 'rpr group' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>group</th>
<th>members</th>
<th>caucusing</th>
<th>total</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>socialist group</td>
<td>242</td>
<td>8</td>
<td>250</td>
</tr>
<tr>
<th>1</th>
<td>rpr group</td>
<td>136</td>
<td>6</td>
<td>140</td>
</tr>
<tr>
<th>2</th>
<td>udf group</td>
<td>107</td>
<td>6</td>
<td>113</td>
</tr>
<tr>
<th>3</th>
<td>communist group</td>
<td>34</td>
<td>2</td>
<td>36</td>
</tr>
<tr>
<th>4</th>
<td>radical, citizen and green</td>
<td>33</td>
<td>0</td>
<td>33</td>
</tr>
<tr>
<th>5</th>
<td>non-inscrits</td>
<td>5</td>
<td>0</td>
<td>5</td>
</tr>
<tr>
<th>6</th>
<td>total</td>
<td>555</td>
<td>22</td>
<td>577</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>caucusing</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>6</td>
</tr>
</tbody>
</table> | select caucusing where group = 'rpr group' <table_name> : table | | group | members | caucusing | total |
|---:|:---------------------------|----------:|------------:|--------:|
| 0 | socialist group | 242 | 8 | 250 |
| 1 | rpr group | 136 | 6 | 140 |
| 2 | udf group | 107 | 6 | 113 |
| 3 | communist group | 34 | 2 | 36 |
| 4 | radical, citizen and green | 33 | 0 | 33 |
| 5 | non-inscrits | 5 | 0 | 5 |
| 6 | total | 555 | 22 | 577 | | | | caucusing |
|---:|------------:|
| 0 | 6 | | [
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select wrestler where no. of reigns = 3 col : rank | wrestler | no. of reigns | combined defenses | combined days row 1 : 1 | keiji mutoh | 4 | 19 | 1238 row 2 : 2 | hiroshi tanahashi | 6 | 27 | 1237 row 3 : 3 | shinya hashimoto | 3 | 20 | 1052 row 4 : 4 | tatsumi fujinami | 6 | 13 | 785 row 5 : 5 | kensuke sasaki | 5 | 9 | 647 row 6 : 6 | yuji nagata | 2 | 12 | 570 row 7 : 7 | kazuchika okada | 2 | 10 | 556 row 8 : 8 | kazuyuki fujita | 3 | 3 | 478 row 9 : 9 | big van vader | 3 | 4 | 451 row 10 : 10 | shinsuke nakamura | 3 | 9 | 390 row 11 : 11 | riki choshu | 3 | 5 | 383 row 12 : 12 | antonio inoki | 1 | 4 | 325 row 13 : 13 | brock lesnar | 1 | 3 | 280 row 14 : 14 | hiroyoshi tenzan | 4 | 2 | 197 row 15 : 15 | yoshihiro takayama | 1 | 3 | 185 row 16 : 16 | satoshi kojima | 2 | 2 | 168 row 17 : 17 | togi makabe | 1 | 3 | 161 row 18 : 18 | scott norton | 2 | 4 | 126 row 19 : 19 | nobuhiko takada | 1 | 1 | 116 row 20 : 20 | bob sapp | 1 | 1 | 66 row 21 : 21 | salman hashimikov | 1 | 0 | 48 row 22 : 21 | tadao yasuda | 1 | 1 | 48 row 23 : 23 | manabu nakanishi | 1 | 0 | 45 row 24 : 24 | masahiro chono | 1 | 0 | 44 row 25 : 25 | genichiro tenryu | 1 | 0 | 25 | col : wrestler row 1 : shinya hashimoto row 2 : kazuyuki fujita row 3 : big van vader row 4 : shinsuke nakamura row 5 : riki choshu | select wrestler where no. of reigns = 3 <table_name> : table \begin{tabular}{llllll}
\toprule
& rank & wrestler & no. of reigns & combined defenses & combined days \\
\midrule
0 & 1 & keiji mutoh & 4 & 19 & 1238 \\
1 & 2 & hiroshi tanahashi & 6 & 27 & 1237 \\
2 & 3 & shinya hashimoto & 3 & 20 & 1052 \\
3 & 4 & tatsumi fujinami & 6 & 13 & 785 \\
4 & 5 & kensuke sasaki & 5 & 9 & 647 \\
5 & 6 & yuji nagata & 2 & 12 & 570 \\
6 & 7 & kazuchika okada & 2 & 10 & 556 \\
7 & 8 & kazuyuki fujita & 3 & 3 & 478 \\
8 & 9 & big van vader & 3 & 4 & 451 \\
9 & 10 & shinsuke nakamura & 3 & 9 & 390 \\
10 & 11 & riki choshu & 3 & 5 & 383 \\
11 & 12 & antonio inoki & 1 & 4 & 325 \\
12 & 13 & brock lesnar & 1 & 3 & 280 \\
13 & 14 & hiroyoshi tenzan & 4 & 2 & 197 \\
14 & 15 & yoshihiro takayama & 1 & 3 & 185 \\
15 & 16 & satoshi kojima & 2 & 2 & 168 \\
16 & 17 & togi makabe & 1 & 3 & 161 \\
17 & 18 & scott norton & 2 & 4 & 126 \\
18 & 19 & nobuhiko takada & 1 & 1 & 116 \\
19 & 20 & bob sapp & 1 & 1 & 66 \\
20 & 21 & salman hashimikov & 1 & 0 & 48 \\
21 & 21 & tadao yasuda & 1 & 1 & 48 \\
22 & 23 & manabu nakanishi & 1 & 0 & 45 \\
23 & 24 & masahiro chono & 1 & 0 & 44 \\
24 & 25 & genichiro tenryu & 1 & 0 & 25 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& wrestler \\
\midrule
0 & shinya hashimoto \\
1 & kazuyuki fujita \\
2 & big van vader \\
3 & shinsuke nakamura \\
4 & riki choshu \\
\bottomrule
\end{tabular}
| select wrestler where no. of reigns = 3 <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>keiji mutoh</td>
<td>4</td>
<td>19</td>
<td>1238</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>hiroshi tanahashi</td>
<td>6</td>
<td>27</td>
<td>1237</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>shinya hashimoto</td>
<td>3</td>
<td>20</td>
<td>1052</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>tatsumi fujinami</td>
<td>6</td>
<td>13</td>
<td>785</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>kensuke sasaki</td>
<td>5</td>
<td>9</td>
<td>647</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>yuji nagata</td>
<td>2</td>
<td>12</td>
<td>570</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>kazuchika okada</td>
<td>2</td>
<td>10</td>
<td>556</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>kazuyuki fujita</td>
<td>3</td>
<td>3</td>
<td>478</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>big van vader</td>
<td>3</td>
<td>4</td>
<td>451</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>shinsuke nakamura</td>
<td>3</td>
<td>9</td>
<td>390</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>riki choshu</td>
<td>3</td>
<td>5</td>
<td>383</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>antonio inoki</td>
<td>1</td>
<td>4</td>
<td>325</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>brock lesnar</td>
<td>1</td>
<td>3</td>
<td>280</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>hiroyoshi tenzan</td>
<td>4</td>
<td>2</td>
<td>197</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>yoshihiro takayama</td>
<td>1</td>
<td>3</td>
<td>185</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>satoshi kojima</td>
<td>2</td>
<td>2</td>
<td>168</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>togi makabe</td>
<td>1</td>
<td>3</td>
<td>161</td>
</tr>
<tr>
<th>17</th>
<td>18</td>
<td>scott norton</td>
<td>2</td>
<td>4</td>
<td>126</td>
</tr>
<tr>
<th>18</th>
<td>19</td>
<td>nobuhiko takada</td>
<td>1</td>
<td>1</td>
<td>116</td>
</tr>
<tr>
<th>19</th>
<td>20</td>
<td>bob sapp</td>
<td>1</td>
<td>1</td>
<td>66</td>
</tr>
<tr>
<th>20</th>
<td>21</td>
<td>salman hashimikov</td>
<td>1</td>
<td>0</td>
<td>48</td>
</tr>
<tr>
<th>21</th>
<td>21</td>
<td>tadao yasuda</td>
<td>1</td>
<td>1</td>
<td>48</td>
</tr>
<tr>
<th>22</th>
<td>23</td>
<td>manabu nakanishi</td>
<td>1</td>
<td>0</td>
<td>45</td>
</tr>
<tr>
<th>23</th>
<td>24</td>
<td>masahiro chono</td>
<td>1</td>
<td>0</td>
<td>44</td>
</tr>
<tr>
<th>24</th>
<td>25</td>
<td>genichiro tenryu</td>
<td>1</td>
<td>0</td>
<td>25</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>wrestler</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>shinya hashimoto</td>
</tr>
<tr>
<th>1</th>
<td>kazuyuki fujita</td>
</tr>
<tr>
<th>2</th>
<td>big van vader</td>
</tr>
<tr>
<th>3</th>
<td>shinsuke nakamura</td>
</tr>
<tr>
<th>4</th>
<td>riki choshu</td>
</tr>
</tbody>
</table> | select wrestler where no. of reigns = 3 <table_name> : table | | rank | wrestler | no. of reigns | combined defenses | combined days |
|---:|-------:|:-------------------|----------------:|--------------------:|----------------:|
| 0 | 1 | keiji mutoh | 4 | 19 | 1238 |
| 1 | 2 | hiroshi tanahashi | 6 | 27 | 1237 |
| 2 | 3 | shinya hashimoto | 3 | 20 | 1052 |
| 3 | 4 | tatsumi fujinami | 6 | 13 | 785 |
| 4 | 5 | kensuke sasaki | 5 | 9 | 647 |
| 5 | 6 | yuji nagata | 2 | 12 | 570 |
| 6 | 7 | kazuchika okada | 2 | 10 | 556 |
| 7 | 8 | kazuyuki fujita | 3 | 3 | 478 |
| 8 | 9 | big van vader | 3 | 4 | 451 |
| 9 | 10 | shinsuke nakamura | 3 | 9 | 390 |
| 10 | 11 | riki choshu | 3 | 5 | 383 |
| 11 | 12 | antonio inoki | 1 | 4 | 325 |
| 12 | 13 | brock lesnar | 1 | 3 | 280 |
| 13 | 14 | hiroyoshi tenzan | 4 | 2 | 197 |
| 14 | 15 | yoshihiro takayama | 1 | 3 | 185 |
| 15 | 16 | satoshi kojima | 2 | 2 | 168 |
| 16 | 17 | togi makabe | 1 | 3 | 161 |
| 17 | 18 | scott norton | 2 | 4 | 126 |
| 18 | 19 | nobuhiko takada | 1 | 1 | 116 |
| 19 | 20 | bob sapp | 1 | 1 | 66 |
| 20 | 21 | salman hashimikov | 1 | 0 | 48 |
| 21 | 21 | tadao yasuda | 1 | 1 | 48 |
| 22 | 23 | manabu nakanishi | 1 | 0 | 45 |
| 23 | 24 | masahiro chono | 1 | 0 | 44 |
| 24 | 25 | genichiro tenryu | 1 | 0 | 25 | | | | wrestler |
|---:|:------------------|
| 0 | shinya hashimoto |
| 1 | kazuyuki fujita |
| 2 | big van vader |
| 3 | shinsuke nakamura |
| 4 | riki choshu | | [
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select serial name where year(s) = 2011 col : year(s) | serial name | role | co-star | note(s) | channel row 1 : 2005-2009 | saat phere | nahar singh(male lead) | rajshree thakur | none | zee tv row 2 : 2010 | sarvggun sampanna | abhay(cameo) | none | none | imagine tv row 3 : 2009-2010 | bairi piya | thakur digvijay singh bhadoria /ranveer(male lead) | supriya kumari | none | colors (tv channel) row 4 : 2009 | pati patni aur woh | himself | none | he was the host of the show | imagine tv row 5 : 2007 | sa re ga ma pa challenge 2007 | himself | mauli dave | he was the host of the show | zee tv row 6 : 2006 | nach baliye 2 | himself | keerti gaekwad kelkar | none | star one row 7 : 2005-2007 | sinndoor tere naam ka | rudra raizada(male lead) | keerti gaekwad kelkar | none | zee tv row 8 : 2011 | uttaran | satya | tina dutta,nandish sandhu | none | colors tv row 9 : 2012 - 2013 | kuch toh log kahenge | dr. ashutosh(male lead) | kritika kamra | he replaced mohnish bahl | sony entertainment television india row 10 : 2012 - present | shaitaan - a criminal mind | host | none | none | colors tv | col : serial name row 1 : uttaran | select serial name where year(s) = 2011 <table_name> : table \begin{tabular}{lllllll}
\toprule
& year(s) & serial name & role & co-star & note(s) & channel \\
\midrule
0 & 2005-2009 & saat phere & nahar singh(male lead) & rajshree thakur & none & zee tv \\
1 & 2010 & sarvggun sampanna & abhay(cameo) & none & none & imagine tv \\
2 & 2009-2010 & bairi piya & thakur digvijay singh bhadoria /ranveer(male lead) & supriya kumari & none & colors (tv channel) \\
3 & 2009 & pati patni aur woh & himself & none & he was the host of the show & imagine tv \\
4 & 2007 & sa re ga ma pa challenge 2007 & himself & mauli dave & he was the host of the show & zee tv \\
5 & 2006 & nach baliye 2 & himself & keerti gaekwad kelkar & none & star one \\
6 & 2005-2007 & sinndoor tere naam ka & rudra raizada(male lead) & keerti gaekwad kelkar & none & zee tv \\
7 & 2011 & uttaran & satya & tina dutta,nandish sandhu & none & colors tv \\
8 & 2012 - 2013 & kuch toh log kahenge & dr. ashutosh(male lead) & kritika kamra & he replaced mohnish bahl & sony entertainment television india \\
9 & 2012 - present & shaitaan - a criminal mind & host & none & none & colors tv \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& serial name \\
\midrule
0 & uttaran \\
\bottomrule
\end{tabular}
| select serial name where year(s) = 2011 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year(s)</th>
<th>serial name</th>
<th>role</th>
<th>co-star</th>
<th>note(s)</th>
<th>channel</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2005-2009</td>
<td>saat phere</td>
<td>nahar singh(male lead)</td>
<td>rajshree thakur</td>
<td>none</td>
<td>zee tv</td>
</tr>
<tr>
<th>1</th>
<td>2010</td>
<td>sarvggun sampanna</td>
<td>abhay(cameo)</td>
<td>none</td>
<td>none</td>
<td>imagine tv</td>
</tr>
<tr>
<th>2</th>
<td>2009-2010</td>
<td>bairi piya</td>
<td>thakur digvijay singh bhadoria /ranveer(male lead)</td>
<td>supriya kumari</td>
<td>none</td>
<td>colors (tv channel)</td>
</tr>
<tr>
<th>3</th>
<td>2009</td>
<td>pati patni aur woh</td>
<td>himself</td>
<td>none</td>
<td>he was the host of the show</td>
<td>imagine tv</td>
</tr>
<tr>
<th>4</th>
<td>2007</td>
<td>sa re ga ma pa challenge 2007</td>
<td>himself</td>
<td>mauli dave</td>
<td>he was the host of the show</td>
<td>zee tv</td>
</tr>
<tr>
<th>5</th>
<td>2006</td>
<td>nach baliye 2</td>
<td>himself</td>
<td>keerti gaekwad kelkar</td>
<td>none</td>
<td>star one</td>
</tr>
<tr>
<th>6</th>
<td>2005-2007</td>
<td>sinndoor tere naam ka</td>
<td>rudra raizada(male lead)</td>
<td>keerti gaekwad kelkar</td>
<td>none</td>
<td>zee tv</td>
</tr>
<tr>
<th>7</th>
<td>2011</td>
<td>uttaran</td>
<td>satya</td>
<td>tina dutta,nandish sandhu</td>
<td>none</td>
<td>colors tv</td>
</tr>
<tr>
<th>8</th>
<td>2012 - 2013</td>
<td>kuch toh log kahenge</td>
<td>dr. ashutosh(male lead)</td>
<td>kritika kamra</td>
<td>he replaced mohnish bahl</td>
<td>sony entertainment television india</td>
</tr>
<tr>
<th>9</th>
<td>2012 - present</td>
<td>shaitaan - a criminal mind</td>
<td>host</td>
<td>none</td>
<td>none</td>
<td>colors tv</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>serial name</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>uttaran</td>
</tr>
</tbody>
</table> | select serial name where year(s) = 2011 <table_name> : table | | year(s) | serial name | role | co-star | note(s) | channel |
|---:|:---------------|:------------------------------|:---------------------------------------------------|:--------------------------|:----------------------------|:------------------------------------|
| 0 | 2005-2009 | saat phere | nahar singh(male lead) | rajshree thakur | none | zee tv |
| 1 | 2010 | sarvggun sampanna | abhay(cameo) | none | none | imagine tv |
| 2 | 2009-2010 | bairi piya | thakur digvijay singh bhadoria /ranveer(male lead) | supriya kumari | none | colors (tv channel) |
| 3 | 2009 | pati patni aur woh | himself | none | he was the host of the show | imagine tv |
| 4 | 2007 | sa re ga ma pa challenge 2007 | himself | mauli dave | he was the host of the show | zee tv |
| 5 | 2006 | nach baliye 2 | himself | keerti gaekwad kelkar | none | star one |
| 6 | 2005-2007 | sinndoor tere naam ka | rudra raizada(male lead) | keerti gaekwad kelkar | none | zee tv |
| 7 | 2011 | uttaran | satya | tina dutta,nandish sandhu | none | colors tv |
| 8 | 2012 - 2013 | kuch toh log kahenge | dr. ashutosh(male lead) | kritika kamra | he replaced mohnish bahl | sony entertainment television india |
| 9 | 2012 - present | shaitaan - a criminal mind | host | none | none | colors tv | | | | serial name |
|---:|:--------------|
| 0 | uttaran | | [
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select count ( result ) where # = 8 col : # | date | venue | opponent | score | result | competition row 1 : 1 | 2012-08-15 00:00:00 | ullevaal stadion, oslo, norway | norway | 1-3 | 2-3 | friendly row 2 : 2 | 2012-09-11 00:00:00 | karaiskakis stadium, pireaus, greece | lithuania | 2-0 | 2-0 | 2014 fifa world cup qualifier row 3 : 3 | 2013-08-14 00:00:00 | red bull arena, salzburg, austria | austria | 0-1 | 0-2 | friendly row 4 : 4 | 2013-08-14 00:00:00 | red bull arena, salzburg, austria | austria | 0-2 | 0-2 | friendly row 5 : 5 | 2013-09-06 00:00:00 | rheinpark stadion, vaduz, liechtenstein | liechtenstein | 0-1 | 0-1 | 2014 fifa world cup qualifier row 6 : 6 | 2013-11-15 00:00:00 | karaiskakis stadium, pireaus, greece | romania | 1-0 | 3-1 | 2014 fifa world cup qualifier - play-offs row 7 : 7 | 2013-11-15 00:00:00 | karaiskakis stadium, pireaus, greece | romania | 3-1 | 3-1 | 2014 fifa world cup qualifier - play-offs row 8 : 8 | 2013-11-19 00:00:00 | arena nationala, bucharest, romania | romania | 0-1 | 1-1 | 2014 fifa world cup qualifier - play-offs | col : count ( "result" ) row 1 : 1 | select count ( result ) where # = 8 <table_name> : table \begin{tabular}{llllllll}
\toprule
& # & date & venue & opponent & score & result & competition \\
\midrule
0 & 1 & 2012-08-15 00:00:00 & ullevaal stadion, oslo, norway & norway & 1-3 & 2-3 & friendly \\
1 & 2 & 2012-09-11 00:00:00 & karaiskakis stadium, pireaus, greece & lithuania & 2-0 & 2-0 & 2014 fifa world cup qualifier \\
2 & 3 & 2013-08-14 00:00:00 & red bull arena, salzburg, austria & austria & 0-1 & 0-2 & friendly \\
3 & 4 & 2013-08-14 00:00:00 & red bull arena, salzburg, austria & austria & 0-2 & 0-2 & friendly \\
4 & 5 & 2013-09-06 00:00:00 & rheinpark stadion, vaduz, liechtenstein & liechtenstein & 0-1 & 0-1 & 2014 fifa world cup qualifier \\
5 & 6 & 2013-11-15 00:00:00 & karaiskakis stadium, pireaus, greece & romania & 1-0 & 3-1 & 2014 fifa world cup qualifier - play-offs \\
6 & 7 & 2013-11-15 00:00:00 & karaiskakis stadium, pireaus, greece & romania & 3-1 & 3-1 & 2014 fifa world cup qualifier - play-offs \\
7 & 8 & 2013-11-19 00:00:00 & arena nationala, bucharest, romania & romania & 0-1 & 1-1 & 2014 fifa world cup qualifier - play-offs \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "result" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( result ) where # = 8 <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>2012-08-15 00:00:00</td>
<td>ullevaal stadion, oslo, norway</td>
<td>norway</td>
<td>1-3</td>
<td>2-3</td>
<td>friendly</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>2012-09-11 00:00:00</td>
<td>karaiskakis stadium, pireaus, greece</td>
<td>lithuania</td>
<td>2-0</td>
<td>2-0</td>
<td>2014 fifa world cup qualifier</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>2013-08-14 00:00:00</td>
<td>red bull arena, salzburg, austria</td>
<td>austria</td>
<td>0-1</td>
<td>0-2</td>
<td>friendly</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>2013-08-14 00:00:00</td>
<td>red bull arena, salzburg, austria</td>
<td>austria</td>
<td>0-2</td>
<td>0-2</td>
<td>friendly</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>2013-09-06 00:00:00</td>
<td>rheinpark stadion, vaduz, liechtenstein</td>
<td>liechtenstein</td>
<td>0-1</td>
<td>0-1</td>
<td>2014 fifa world cup qualifier</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>2013-11-15 00:00:00</td>
<td>karaiskakis stadium, pireaus, greece</td>
<td>romania</td>
<td>1-0</td>
<td>3-1</td>
<td>2014 fifa world cup qualifier - play-offs</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>2013-11-15 00:00:00</td>
<td>karaiskakis stadium, pireaus, greece</td>
<td>romania</td>
<td>3-1</td>
<td>3-1</td>
<td>2014 fifa world cup qualifier - play-offs</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>2013-11-19 00:00:00</td>
<td>arena nationala, bucharest, romania</td>
<td>romania</td>
<td>0-1</td>
<td>1-1</td>
<td>2014 fifa world cup qualifier - play-offs</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "result" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( result ) where # = 8 <table_name> : table | | # | date | venue | opponent | score | result | competition |
|---:|----:|:--------------------|:----------------------------------------|:--------------|:--------|:---------|:------------------------------------------|
| 0 | 1 | 2012-08-15 00:00:00 | ullevaal stadion, oslo, norway | norway | 1-3 | 2-3 | friendly |
| 1 | 2 | 2012-09-11 00:00:00 | karaiskakis stadium, pireaus, greece | lithuania | 2-0 | 2-0 | 2014 fifa world cup qualifier |
| 2 | 3 | 2013-08-14 00:00:00 | red bull arena, salzburg, austria | austria | 0-1 | 0-2 | friendly |
| 3 | 4 | 2013-08-14 00:00:00 | red bull arena, salzburg, austria | austria | 0-2 | 0-2 | friendly |
| 4 | 5 | 2013-09-06 00:00:00 | rheinpark stadion, vaduz, liechtenstein | liechtenstein | 0-1 | 0-1 | 2014 fifa world cup qualifier |
| 5 | 6 | 2013-11-15 00:00:00 | karaiskakis stadium, pireaus, greece | romania | 1-0 | 3-1 | 2014 fifa world cup qualifier - play-offs |
| 6 | 7 | 2013-11-15 00:00:00 | karaiskakis stadium, pireaus, greece | romania | 3-1 | 3-1 | 2014 fifa world cup qualifier - play-offs |
| 7 | 8 | 2013-11-19 00:00:00 | arena nationala, bucharest, romania | romania | 0-1 | 1-1 | 2014 fifa world cup qualifier - play-offs | | | | count ( "result" ) |
|---:|---------------------:|
| 0 | 1 | | [
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] |
select chassis where number > 47 col : number | driver | entrant | chassis | engine | tyre row 1 : 1 | jimmy bryan | dean van lines | kuzma | offenhauser | f row 2 : 2 | john lawrence | ecurie ecosse | jaguar d-type | jaguar | d row 3 : 4 | jack fairman | ecurie ecosse | jaguar d-type | jaguar | d row 4 : 6 | ninian sanderson | ecurie ecosse | jaguar d-type | jaguar | d row 5 : 7 | bob veith | bob estes | phillips | offenhauser | f row 6 : 8 | jean behra | maserati | maserati 250f | maserati | f row 7 : 8 | jean behra | maserati | maserati 450s1 | maserati | f row 8 : 12 | pat o'connor | sumar | kurtis kraft 500g | offenhauser | f row 9 : 16 | mario bornigia | scuderia cottione | ferrari | ferrari | none row 10 : 27 | tony bettenhausen | novi auto air conditioning | kurtis kraft 500f | novi (s/c) | f row 11 : 35 | eddie sachs | jim robbins | kurtis kraft 500g | offenhauser | f row 12 : 49 | ray crawford | meguiar mirror glaze | kurtis kraft 500g | offenhauser | f row 13 : 52 | troy ruttman | john zink | watson | offenhauser | f row 14 : 52 | jim rathmann2 | john zink | watson | offenhauser | f row 15 : 54 | paul russo | novi auto air conditioning | kurtis kraft 500f | novi (s/c) | f row 16 : 73 | andy linden | mcnamara veedol | kurtis kraft 500g | offenhauser | f row 17 : 98 | johnnie parsons | agajanian | kuzma | offenhauser | f | col : chassis row 1 : jaguar d-type row 2 : phillips row 3 : maserati 250f row 4 : maserati 450s1 row 5 : kurtis kraft 500g row 6 : watson row 7 : watson row 8 : kurtis kraft 500f row 9 : kurtis kraft 500g row 10 : kuzma | select chassis where number > 47 <table_name> : table \begin{tabular}{lllllll}
\toprule
& number & driver & entrant & chassis & engine & tyre \\
\midrule
0 & 1 & jimmy bryan & dean van lines & kuzma & offenhauser & f \\
1 & 2 & john lawrence & ecurie ecosse & jaguar d-type & jaguar & d \\
2 & 4 & jack fairman & ecurie ecosse & jaguar d-type & jaguar & d \\
3 & 6 & ninian sanderson & ecurie ecosse & jaguar d-type & jaguar & d \\
4 & 7 & bob veith & bob estes & phillips & offenhauser & f \\
5 & 8 & jean behra & maserati & maserati 250f & maserati & f \\
6 & 8 & jean behra & maserati & maserati 450s1 & maserati & f \\
7 & 12 & pat o'connor & sumar & kurtis kraft 500g & offenhauser & f \\
8 & 16 & mario bornigia & scuderia cottione & ferrari & ferrari & none \\
9 & 27 & tony bettenhausen & novi auto air conditioning & kurtis kraft 500f & novi (s/c) & f \\
10 & 35 & eddie sachs & jim robbins & kurtis kraft 500g & offenhauser & f \\
11 & 49 & ray crawford & meguiar mirror glaze & kurtis kraft 500g & offenhauser & f \\
12 & 52 & troy ruttman & john zink & watson & offenhauser & f \\
13 & 52 & jim rathmann2 & john zink & watson & offenhauser & f \\
14 & 54 & paul russo & novi auto air conditioning & kurtis kraft 500f & novi (s/c) & f \\
15 & 73 & andy linden & mcnamara veedol & kurtis kraft 500g & offenhauser & f \\
16 & 98 & johnnie parsons & agajanian & kuzma & offenhauser & f \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& chassis \\
\midrule
0 & jaguar d-type \\
1 & phillips \\
2 & maserati 250f \\
3 & maserati 450s1 \\
4 & kurtis kraft 500g \\
5 & watson \\
6 & watson \\
7 & kurtis kraft 500f \\
8 & kurtis kraft 500g \\
9 & kuzma \\
\bottomrule
\end{tabular}
| select chassis where number > 47 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>number</th>
<th>driver</th>
<th>entrant</th>
<th>chassis</th>
<th>engine</th>
<th>tyre</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>jimmy bryan</td>
<td>dean van lines</td>
<td>kuzma</td>
<td>offenhauser</td>
<td>f</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>john lawrence</td>
<td>ecurie ecosse</td>
<td>jaguar d-type</td>
<td>jaguar</td>
<td>d</td>
</tr>
<tr>
<th>2</th>
<td>4</td>
<td>jack fairman</td>
<td>ecurie ecosse</td>
<td>jaguar d-type</td>
<td>jaguar</td>
<td>d</td>
</tr>
<tr>
<th>3</th>
<td>6</td>
<td>ninian sanderson</td>
<td>ecurie ecosse</td>
<td>jaguar d-type</td>
<td>jaguar</td>
<td>d</td>
</tr>
<tr>
<th>4</th>
<td>7</td>
<td>bob veith</td>
<td>bob estes</td>
<td>phillips</td>
<td>offenhauser</td>
<td>f</td>
</tr>
<tr>
<th>5</th>
<td>8</td>
<td>jean behra</td>
<td>maserati</td>
<td>maserati 250f</td>
<td>maserati</td>
<td>f</td>
</tr>
<tr>
<th>6</th>
<td>8</td>
<td>jean behra</td>
<td>maserati</td>
<td>maserati 450s1</td>
<td>maserati</td>
<td>f</td>
</tr>
<tr>
<th>7</th>
<td>12</td>
<td>pat o'connor</td>
<td>sumar</td>
<td>kurtis kraft 500g</td>
<td>offenhauser</td>
<td>f</td>
</tr>
<tr>
<th>8</th>
<td>16</td>
<td>mario bornigia</td>
<td>scuderia cottione</td>
<td>ferrari</td>
<td>ferrari</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>27</td>
<td>tony bettenhausen</td>
<td>novi auto air conditioning</td>
<td>kurtis kraft 500f</td>
<td>novi (s/c)</td>
<td>f</td>
</tr>
<tr>
<th>10</th>
<td>35</td>
<td>eddie sachs</td>
<td>jim robbins</td>
<td>kurtis kraft 500g</td>
<td>offenhauser</td>
<td>f</td>
</tr>
<tr>
<th>11</th>
<td>49</td>
<td>ray crawford</td>
<td>meguiar mirror glaze</td>
<td>kurtis kraft 500g</td>
<td>offenhauser</td>
<td>f</td>
</tr>
<tr>
<th>12</th>
<td>52</td>
<td>troy ruttman</td>
<td>john zink</td>
<td>watson</td>
<td>offenhauser</td>
<td>f</td>
</tr>
<tr>
<th>13</th>
<td>52</td>
<td>jim rathmann2</td>
<td>john zink</td>
<td>watson</td>
<td>offenhauser</td>
<td>f</td>
</tr>
<tr>
<th>14</th>
<td>54</td>
<td>paul russo</td>
<td>novi auto air conditioning</td>
<td>kurtis kraft 500f</td>
<td>novi (s/c)</td>
<td>f</td>
</tr>
<tr>
<th>15</th>
<td>73</td>
<td>andy linden</td>
<td>mcnamara veedol</td>
<td>kurtis kraft 500g</td>
<td>offenhauser</td>
<td>f</td>
</tr>
<tr>
<th>16</th>
<td>98</td>
<td>johnnie parsons</td>
<td>agajanian</td>
<td>kuzma</td>
<td>offenhauser</td>
<td>f</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>chassis</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>jaguar d-type</td>
</tr>
<tr>
<th>1</th>
<td>phillips</td>
</tr>
<tr>
<th>2</th>
<td>maserati 250f</td>
</tr>
<tr>
<th>3</th>
<td>maserati 450s1</td>
</tr>
<tr>
<th>4</th>
<td>kurtis kraft 500g</td>
</tr>
<tr>
<th>5</th>
<td>watson</td>
</tr>
<tr>
<th>6</th>
<td>watson</td>
</tr>
<tr>
<th>7</th>
<td>kurtis kraft 500f</td>
</tr>
<tr>
<th>8</th>
<td>kurtis kraft 500g</td>
</tr>
<tr>
<th>9</th>
<td>kuzma</td>
</tr>
</tbody>
</table> | select chassis where number > 47 <table_name> : table | | number | driver | entrant | chassis | engine | tyre |
|---:|---------:|:------------------|:---------------------------|:------------------|:------------|:-------|
| 0 | 1 | jimmy bryan | dean van lines | kuzma | offenhauser | f |
| 1 | 2 | john lawrence | ecurie ecosse | jaguar d-type | jaguar | d |
| 2 | 4 | jack fairman | ecurie ecosse | jaguar d-type | jaguar | d |
| 3 | 6 | ninian sanderson | ecurie ecosse | jaguar d-type | jaguar | d |
| 4 | 7 | bob veith | bob estes | phillips | offenhauser | f |
| 5 | 8 | jean behra | maserati | maserati 250f | maserati | f |
| 6 | 8 | jean behra | maserati | maserati 450s1 | maserati | f |
| 7 | 12 | pat o'connor | sumar | kurtis kraft 500g | offenhauser | f |
| 8 | 16 | mario bornigia | scuderia cottione | ferrari | ferrari | none |
| 9 | 27 | tony bettenhausen | novi auto air conditioning | kurtis kraft 500f | novi (s/c) | f |
| 10 | 35 | eddie sachs | jim robbins | kurtis kraft 500g | offenhauser | f |
| 11 | 49 | ray crawford | meguiar mirror glaze | kurtis kraft 500g | offenhauser | f |
| 12 | 52 | troy ruttman | john zink | watson | offenhauser | f |
| 13 | 52 | jim rathmann2 | john zink | watson | offenhauser | f |
| 14 | 54 | paul russo | novi auto air conditioning | kurtis kraft 500f | novi (s/c) | f |
| 15 | 73 | andy linden | mcnamara veedol | kurtis kraft 500g | offenhauser | f |
| 16 | 98 | johnnie parsons | agajanian | kuzma | offenhauser | f | | | | chassis |
|---:|:------------------|
| 0 | jaguar d-type |
| 1 | phillips |
| 2 | maserati 250f |
| 3 | maserati 450s1 |
| 4 | kurtis kraft 500g |
| 5 | watson |
| 6 | watson |
| 7 | kurtis kraft 500f |
| 8 | kurtis kraft 500g |
| 9 | kuzma | | [
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select count ( * ) where nation = 'united states' and nation = 'botswana' col : rank | heat | nation | competitors | time | notes row 1 : 1 | 2 | united states | kelly willie, derrick brew, andrew rock, darold williamson | 2:59.30 | q row 2 : 2 | 2 | nigeria | james godday, musa audu, saul weigopwa, enefiok udo-obong | 3:01.60 | q, sb row 3 : 3 | 2 | bahamas | andrae williams, dennis darling, nathaniel mckinney, christopher brown | 3:01.74 | q, sb row 4 : 4 | 1 | great britain | timothy benjamin, sean baldock, malachi davis, matthew elias | 3:02.40 | q, sb row 5 : 5 | 1 | japan | yuki yamaguchi, jun osakada, tomohiro ito, mitsuhiro sato | 3:02.71 | q row 6 : 6 | 1 | germany | ingo schultz, kamghe gaba, ruwen faller, bastian swillims | 3:02.77 | q row 7 : 7 | 1 | australia | john steffensen, clinton hill, patrick dwyer, mark ormrod | 3:03.06 | q row 8 : 8 | 1 | botswana | oganeditse moseki, johnson kubisa, california molefe, kagiso kilego | 3:03.32 | q, sb row 9 : 9 | 2 | russia | aleksandr larin, andrey rudnitskiy, oleg mishukov, ruslan mashchenko | 3:03.35 | none row 10 : 10 | 2 | poland | piotr rysiukiewicz, piotr klimczak, marcin marciniszyn, marek plawgo | 3:03.69 | none row 11 : 11 | 2 | ukraine | volodymyr demchenko, yevgeniy zyukov, myhaylo knysh, andriy tverdostup | 3:04.01 | none row 12 : 12 | 1 | greece | stilianos dimotsios, anastasios gousis, panagiotis sarris, periklis iakovakis | 3:04.27 | sb row 13 : 13 | 1 | france | ahmed douhou, ibrahima wade, abderrahim el haouzy, leslie djhone | 3:04.39 | none row 14 : 14 | 2 | spain | eduardo ivan rodriguez, david canal, luis flores, antonio manuel reina | 3:05.03 | sb row 15 : none | 2 | south africa | marcus la grange, hendrick mokganyetsi, ockert cilliers, arnaud malherbe | dnf | none row 16 : none | 1 | jamaica | michael campbell, michael blackwood, jermaine gonzales, davian clarke | dsq | none | col : count ( "*" ) row 1 : 0 | select count ( * ) where nation = 'united states' and nation = 'botswana' <table_name> : table \begin{tabular}{lllllll}
\toprule
& rank & heat & nation & competitors & time & notes \\
\midrule
0 & 1 & 2 & united states & kelly willie, derrick brew, andrew rock, darold williamson & 2:59.30 & q \\
1 & 2 & 2 & nigeria & james godday, musa audu, saul weigopwa, enefiok udo-obong & 3:01.60 & q, sb \\
2 & 3 & 2 & bahamas & andrae williams, dennis darling, nathaniel mckinney, christopher brown & 3:01.74 & q, sb \\
3 & 4 & 1 & great britain & timothy benjamin, sean baldock, malachi davis, matthew elias & 3:02.40 & q, sb \\
4 & 5 & 1 & japan & yuki yamaguchi, jun osakada, tomohiro ito, mitsuhiro sato & 3:02.71 & q \\
5 & 6 & 1 & germany & ingo schultz, kamghe gaba, ruwen faller, bastian swillims & 3:02.77 & q \\
6 & 7 & 1 & australia & john steffensen, clinton hill, patrick dwyer, mark ormrod & 3:03.06 & q \\
7 & 8 & 1 & botswana & oganeditse moseki, johnson kubisa, california molefe, kagiso kilego & 3:03.32 & q, sb \\
8 & 9 & 2 & russia & aleksandr larin, andrey rudnitskiy, oleg mishukov, ruslan mashchenko & 3:03.35 & none \\
9 & 10 & 2 & poland & piotr rysiukiewicz, piotr klimczak, marcin marciniszyn, marek plawgo & 3:03.69 & none \\
10 & 11 & 2 & ukraine & volodymyr demchenko, yevgeniy zyukov, myhaylo knysh, andriy tverdostup & 3:04.01 & none \\
11 & 12 & 1 & greece & stilianos dimotsios, anastasios gousis, panagiotis sarris, periklis iakovakis & 3:04.27 & sb \\
12 & 13 & 1 & france & ahmed douhou, ibrahima wade, abderrahim el haouzy, leslie djhone & 3:04.39 & none \\
13 & 14 & 2 & spain & eduardo ivan rodriguez, david canal, luis flores, antonio manuel reina & 3:05.03 & sb \\
14 & none & 2 & south africa & marcus la grange, hendrick mokganyetsi, ockert cilliers, arnaud malherbe & dnf & none \\
15 & none & 1 & jamaica & michael campbell, michael blackwood, jermaine gonzales, davian clarke & dsq & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( * ) where nation = 'united states' and nation = 'botswana' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>heat</th>
<th>nation</th>
<th>competitors</th>
<th>time</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>2</td>
<td>united states</td>
<td>kelly willie, derrick brew, andrew rock, darold williamson</td>
<td>2:59.30</td>
<td>q</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>2</td>
<td>nigeria</td>
<td>james godday, musa audu, saul weigopwa, enefiok udo-obong</td>
<td>3:01.60</td>
<td>q, sb</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>2</td>
<td>bahamas</td>
<td>andrae williams, dennis darling, nathaniel mckinney, christopher brown</td>
<td>3:01.74</td>
<td>q, sb</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>1</td>
<td>great britain</td>
<td>timothy benjamin, sean baldock, malachi davis, matthew elias</td>
<td>3:02.40</td>
<td>q, sb</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>1</td>
<td>japan</td>
<td>yuki yamaguchi, jun osakada, tomohiro ito, mitsuhiro sato</td>
<td>3:02.71</td>
<td>q</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>1</td>
<td>germany</td>
<td>ingo schultz, kamghe gaba, ruwen faller, bastian swillims</td>
<td>3:02.77</td>
<td>q</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>1</td>
<td>australia</td>
<td>john steffensen, clinton hill, patrick dwyer, mark ormrod</td>
<td>3:03.06</td>
<td>q</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>1</td>
<td>botswana</td>
<td>oganeditse moseki, johnson kubisa, california molefe, kagiso kilego</td>
<td>3:03.32</td>
<td>q, sb</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>2</td>
<td>russia</td>
<td>aleksandr larin, andrey rudnitskiy, oleg mishukov, ruslan mashchenko</td>
<td>3:03.35</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>2</td>
<td>poland</td>
<td>piotr rysiukiewicz, piotr klimczak, marcin marciniszyn, marek plawgo</td>
<td>3:03.69</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>2</td>
<td>ukraine</td>
<td>volodymyr demchenko, yevgeniy zyukov, myhaylo knysh, andriy tverdostup</td>
<td>3:04.01</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>1</td>
<td>greece</td>
<td>stilianos dimotsios, anastasios gousis, panagiotis sarris, periklis iakovakis</td>
<td>3:04.27</td>
<td>sb</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>1</td>
<td>france</td>
<td>ahmed douhou, ibrahima wade, abderrahim el haouzy, leslie djhone</td>
<td>3:04.39</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>2</td>
<td>spain</td>
<td>eduardo ivan rodriguez, david canal, luis flores, antonio manuel reina</td>
<td>3:05.03</td>
<td>sb</td>
</tr>
<tr>
<th>14</th>
<td>none</td>
<td>2</td>
<td>south africa</td>
<td>marcus la grange, hendrick mokganyetsi, ockert cilliers, arnaud malherbe</td>
<td>dnf</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>none</td>
<td>1</td>
<td>jamaica</td>
<td>michael campbell, michael blackwood, jermaine gonzales, davian clarke</td>
<td>dsq</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 nation = 'united states' and nation = 'botswana' <table_name> : table | | rank | heat | nation | competitors | time | notes |
|---:|:-------|-------:|:--------------|:------------------------------------------------------------------------------|:--------|:--------|
| 0 | 1 | 2 | united states | kelly willie, derrick brew, andrew rock, darold williamson | 2:59.30 | q |
| 1 | 2 | 2 | nigeria | james godday, musa audu, saul weigopwa, enefiok udo-obong | 3:01.60 | q, sb |
| 2 | 3 | 2 | bahamas | andrae williams, dennis darling, nathaniel mckinney, christopher brown | 3:01.74 | q, sb |
| 3 | 4 | 1 | great britain | timothy benjamin, sean baldock, malachi davis, matthew elias | 3:02.40 | q, sb |
| 4 | 5 | 1 | japan | yuki yamaguchi, jun osakada, tomohiro ito, mitsuhiro sato | 3:02.71 | q |
| 5 | 6 | 1 | germany | ingo schultz, kamghe gaba, ruwen faller, bastian swillims | 3:02.77 | q |
| 6 | 7 | 1 | australia | john steffensen, clinton hill, patrick dwyer, mark ormrod | 3:03.06 | q |
| 7 | 8 | 1 | botswana | oganeditse moseki, johnson kubisa, california molefe, kagiso kilego | 3:03.32 | q, sb |
| 8 | 9 | 2 | russia | aleksandr larin, andrey rudnitskiy, oleg mishukov, ruslan mashchenko | 3:03.35 | none |
| 9 | 10 | 2 | poland | piotr rysiukiewicz, piotr klimczak, marcin marciniszyn, marek plawgo | 3:03.69 | none |
| 10 | 11 | 2 | ukraine | volodymyr demchenko, yevgeniy zyukov, myhaylo knysh, andriy tverdostup | 3:04.01 | none |
| 11 | 12 | 1 | greece | stilianos dimotsios, anastasios gousis, panagiotis sarris, periklis iakovakis | 3:04.27 | sb |
| 12 | 13 | 1 | france | ahmed douhou, ibrahima wade, abderrahim el haouzy, leslie djhone | 3:04.39 | none |
| 13 | 14 | 2 | spain | eduardo ivan rodriguez, david canal, luis flores, antonio manuel reina | 3:05.03 | sb |
| 14 | none | 2 | south africa | marcus la grange, hendrick mokganyetsi, ockert cilliers, arnaud malherbe | dnf | none |
| 15 | none | 1 | jamaica | michael campbell, michael blackwood, jermaine gonzales, davian clarke | dsq | none | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 0 | | [
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select count ( player ) where player = 1832 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 : count ( "player" ) row 1 : 0 | select count ( player ) where player = 1832 <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
& count ( "player" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( player ) where player = 1832 <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>count ( "player" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select count ( player ) where player = 1832 <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 | | | | count ( "player" ) |
|---:|---------------------:|
| 0 | 0 | | [
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select count ( notes ) where 2.2 = 'o' col : rank | athlete | nationality | 2.15 | 2.2 | 2.24 | 2.27 | result | notes row 1 : 1 | yaroslav rybakov | russia | o | o | o | o | 2.27 | q row 2 : 1 | andriy sokolovskyy | ukraine | o | o | o | o | 2.27 | q row 3 : 1 | stefan holm | sweden | o | o | o | o | 2.27 | q row 4 : 1 | andrey tereshin | russia | o | o | o | o | 2.27 | q row 5 : 1 | victor moya | cuba | o | o | o | o | 2.27 | q, pb row 6 : 1 | linus thornblad | sweden | o | o | o | o | 2.27 | q row 7 : 7 | giulio ciotti | italy | o | o | o | xxx | 2.24 | q row 8 : 8 | robert wolski | poland | xo | o | o | xxx | 2.24 | q row 9 : 9 | ramsay carelse | south africa | xo | xo | o | xxx | 2.24 | none row 10 : 10 | tora harris | united states | o | o | xo | xxx | 2.24 | none row 11 : 10 | nicola ciotti | italy | o | o | xo | xxx | 2.24 | none row 12 : 10 | wojciech theiner | poland | o | o | xo | xxx | 2.24 | none row 13 : 13 | tomas janku | czech republic | o | o | xxo | xxx | 2.24 | none row 14 : 13 | mustapha raifak | france | o | o | xxo | xxx | 2.24 | none row 15 : 15 | svatoslav ton | czech republic | o | xo | xxx | none | 2.2 | none row 16 : 16 | adam shunk | united states | o | xxx | none | 2.15 | none | none row 17 : 16 | roman fricke | germany | o | xxx | none | 2.15 | none | none | col : count ( "notes" ) row 1 : 13 | select count ( notes ) where 2.2 = 'o' <table_name> : table \begin{tabular}{llllllllll}
\toprule
& rank & athlete & nationality & 2.15 & 2.2 & 2.24 & 2.27 & result & notes \\
\midrule
0 & 1 & yaroslav rybakov & russia & o & o & o & o & 2.27 & q \\
1 & 1 & andriy sokolovskyy & ukraine & o & o & o & o & 2.27 & q \\
2 & 1 & stefan holm & sweden & o & o & o & o & 2.27 & q \\
3 & 1 & andrey tereshin & russia & o & o & o & o & 2.27 & q \\
4 & 1 & victor moya & cuba & o & o & o & o & 2.27 & q, pb \\
5 & 1 & linus thornblad & sweden & o & o & o & o & 2.27 & q \\
6 & 7 & giulio ciotti & italy & o & o & o & xxx & 2.24 & q \\
7 & 8 & robert wolski & poland & xo & o & o & xxx & 2.24 & q \\
8 & 9 & ramsay carelse & south africa & xo & xo & o & xxx & 2.24 & none \\
9 & 10 & tora harris & united states & o & o & xo & xxx & 2.24 & none \\
10 & 10 & nicola ciotti & italy & o & o & xo & xxx & 2.24 & none \\
11 & 10 & wojciech theiner & poland & o & o & xo & xxx & 2.24 & none \\
12 & 13 & tomas janku & czech republic & o & o & xxo & xxx & 2.24 & none \\
13 & 13 & mustapha raifak & france & o & o & xxo & xxx & 2.24 & none \\
14 & 15 & svatoslav ton & czech republic & o & xo & xxx & none & 2.2 & none \\
15 & 16 & adam shunk & united states & o & xxx & none & 2.15 & none & none \\
16 & 16 & roman fricke & germany & o & xxx & none & 2.15 & none & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "notes" ) \\
\midrule
0 & 13 \\
\bottomrule
\end{tabular}
| select count ( notes ) where 2.2 = 'o' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>athlete</th>
<th>nationality</th>
<th>2.15</th>
<th>2.2</th>
<th>2.24</th>
<th>2.27</th>
<th>result</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>yaroslav rybakov</td>
<td>russia</td>
<td>o</td>
<td>o</td>
<td>o</td>
<td>o</td>
<td>2.27</td>
<td>q</td>
</tr>
<tr>
<th>1</th>
<td>1</td>
<td>andriy sokolovskyy</td>
<td>ukraine</td>
<td>o</td>
<td>o</td>
<td>o</td>
<td>o</td>
<td>2.27</td>
<td>q</td>
</tr>
<tr>
<th>2</th>
<td>1</td>
<td>stefan holm</td>
<td>sweden</td>
<td>o</td>
<td>o</td>
<td>o</td>
<td>o</td>
<td>2.27</td>
<td>q</td>
</tr>
<tr>
<th>3</th>
<td>1</td>
<td>andrey tereshin</td>
<td>russia</td>
<td>o</td>
<td>o</td>
<td>o</td>
<td>o</td>
<td>2.27</td>
<td>q</td>
</tr>
<tr>
<th>4</th>
<td>1</td>
<td>victor moya</td>
<td>cuba</td>
<td>o</td>
<td>o</td>
<td>o</td>
<td>o</td>
<td>2.27</td>
<td>q, pb</td>
</tr>
<tr>
<th>5</th>
<td>1</td>
<td>linus thornblad</td>
<td>sweden</td>
<td>o</td>
<td>o</td>
<td>o</td>
<td>o</td>
<td>2.27</td>
<td>q</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>giulio ciotti</td>
<td>italy</td>
<td>o</td>
<td>o</td>
<td>o</td>
<td>xxx</td>
<td>2.24</td>
<td>q</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>robert wolski</td>
<td>poland</td>
<td>xo</td>
<td>o</td>
<td>o</td>
<td>xxx</td>
<td>2.24</td>
<td>q</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>ramsay carelse</td>
<td>south africa</td>
<td>xo</td>
<td>xo</td>
<td>o</td>
<td>xxx</td>
<td>2.24</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>tora harris</td>
<td>united states</td>
<td>o</td>
<td>o</td>
<td>xo</td>
<td>xxx</td>
<td>2.24</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>10</td>
<td>nicola ciotti</td>
<td>italy</td>
<td>o</td>
<td>o</td>
<td>xo</td>
<td>xxx</td>
<td>2.24</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>10</td>
<td>wojciech theiner</td>
<td>poland</td>
<td>o</td>
<td>o</td>
<td>xo</td>
<td>xxx</td>
<td>2.24</td>
<td>none</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>tomas janku</td>
<td>czech republic</td>
<td>o</td>
<td>o</td>
<td>xxo</td>
<td>xxx</td>
<td>2.24</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>13</td>
<td>mustapha raifak</td>
<td>france</td>
<td>o</td>
<td>o</td>
<td>xxo</td>
<td>xxx</td>
<td>2.24</td>
<td>none</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>svatoslav ton</td>
<td>czech republic</td>
<td>o</td>
<td>xo</td>
<td>xxx</td>
<td>none</td>
<td>2.2</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>adam shunk</td>
<td>united states</td>
<td>o</td>
<td>xxx</td>
<td>none</td>
<td>2.15</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>16</th>
<td>16</td>
<td>roman fricke</td>
<td>germany</td>
<td>o</td>
<td>xxx</td>
<td>none</td>
<td>2.15</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 ( "notes" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>13</td>
</tr>
</tbody>
</table> | select count ( notes ) where 2.2 = 'o' <table_name> : table | | rank | athlete | nationality | 2.15 | 2.2 | 2.24 | 2.27 | result | notes |
|---:|-------:|:-------------------|:---------------|:-------|:------|:-------|:-------|:---------|:--------|
| 0 | 1 | yaroslav rybakov | russia | o | o | o | o | 2.27 | q |
| 1 | 1 | andriy sokolovskyy | ukraine | o | o | o | o | 2.27 | q |
| 2 | 1 | stefan holm | sweden | o | o | o | o | 2.27 | q |
| 3 | 1 | andrey tereshin | russia | o | o | o | o | 2.27 | q |
| 4 | 1 | victor moya | cuba | o | o | o | o | 2.27 | q, pb |
| 5 | 1 | linus thornblad | sweden | o | o | o | o | 2.27 | q |
| 6 | 7 | giulio ciotti | italy | o | o | o | xxx | 2.24 | q |
| 7 | 8 | robert wolski | poland | xo | o | o | xxx | 2.24 | q |
| 8 | 9 | ramsay carelse | south africa | xo | xo | o | xxx | 2.24 | none |
| 9 | 10 | tora harris | united states | o | o | xo | xxx | 2.24 | none |
| 10 | 10 | nicola ciotti | italy | o | o | xo | xxx | 2.24 | none |
| 11 | 10 | wojciech theiner | poland | o | o | xo | xxx | 2.24 | none |
| 12 | 13 | tomas janku | czech republic | o | o | xxo | xxx | 2.24 | none |
| 13 | 13 | mustapha raifak | france | o | o | xxo | xxx | 2.24 | none |
| 14 | 15 | svatoslav ton | czech republic | o | xo | xxx | none | 2.2 | none |
| 15 | 16 | adam shunk | united states | o | xxx | none | 2.15 | none | none |
| 16 | 16 | roman fricke | germany | o | xxx | none | 2.15 | none | none | | | | count ( "notes" ) |
|---:|--------------------:|
| 0 | 13 | | [
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] |
select time/retired where driver = 'ryan briscoe' 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 : + 2 laps | select time/retired where driver = 'ryan briscoe' <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 & + 2 laps \\
\bottomrule
\end{tabular}
| select time/retired where driver = 'ryan briscoe' <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>+ 2 laps</td>
</tr>
</tbody>
</table> | select time/retired where driver = 'ryan briscoe' <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 | + 2 laps | | [
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] |
select count ( * ) where model = 'm1904 & m1907 carbine' col : nation | model | length | barrel length | weight row 1 : denmark | rifle 1889 | 1328 mm / 52.28 in | 832 mm / 32.78 in | 4.275 kg / 9.5 lb row 2 : denmark | carbine 1889 | 1100 mm / 43.3 in | 610 mm / 24 in | 3.96 kg / 8.8 lb row 3 : denmark | sniper rifle 1928 | 1168 mm / 46 in | 675 mm / 26.6 in | 5.265 kg / 11.7 lb row 4 : usa | m1892 rifle | 1244.6 mm / 49 in | 762 mm / 30 in | 4.221 kg / 9.38 lb row 5 : usa | m1892 carbine | 1046.5 mm / 41.2 in | 558.8 mm / 22 in | 3.735 kg / 8.3 lb row 6 : usa | m1896 rifle | 1244.6 mm / 49 in | 762 mm / 30 in | 4.023 kg / 8.94 lb row 7 : usa | m1896 cadet rifle | 1244.6 mm / 49 in | 762 mm / 30 in | 4.05 kg / 9.0 lb row 8 : usa | m1896 carbine | 1046.5 mm / 41.2 in | 558.8 mm / 22 in | 3.488 kg / 7.75 lb row 9 : usa | m1898 rifle | 1247.1 mm / 49.1 in | 762 mm / 30 in | 4.05 kg 9.0 lb row 10 : usa | m1898 carbine | 1046.5 mm / 41.2 in | 558.8 mm / 22 in | 3.51 kg / 7.8 lb row 11 : usa | m1899 carbine | 1046.5 mm / 41.2 in | 558.8 mm / 22 in | 3.542 kg / 7.87 lb row 12 : usa | m1899 constable carbine | 1046.5 mm / 41.2 in | 558.8 mm / 22 in | 3.614 kg / 8.03 lb row 13 : norway | m1894 rifle | 1267,5 mm / 49.9 in | 760 mm / 29.9 in | 4.221 kg / 9.38 lb row 14 : norway | m1895 & m1897 carbine | 1016 mm / 40 in | 520 mm / 20.5 in | 3.375 kg / 7.5 lb row 15 : norway | m1904 & m1907 carbine | 1016 mm / 40 in | 520 mm / 20.5 in | 3.78 kg / 8.4 lb row 16 : norway | m1906 boy's carbine | 986 mm / 38.8 in | 520 mm / 20.5 in | 3.375 kg / 7.5 lb row 17 : norway | m1912 short rifle | 1107 mm / 43.6 in | 610 mm / 24 in | 3.96 kg / 8.8 lb row 18 : norway | m1923 sniper rifle | 1117 mm / 44 in | 610 mm / 24 in | 4.05 kg / 9.0 lb row 19 : norway | m1925 sniper rifle | 1117 mm / 44 in | 610 mm / 24 in | 4.455 kg / 9.9 lb row 20 : norway | m1930 sniper rifle | 1220 mm / 48 in | 750 mm / 29.5 in | 5.157 kg / 11.46 lb | col : count ( "*" ) row 1 : 1 | select count ( * ) where model = 'm1904 & m1907 carbine' <table_name> : table \begin{tabular}{llllll}
\toprule
& nation & model & length & barrel length & weight \\
\midrule
0 & denmark & rifle 1889 & 1328 mm / 52.28 in & 832 mm / 32.78 in & 4.275 kg / 9.5 lb \\
1 & denmark & carbine 1889 & 1100 mm / 43.3 in & 610 mm / 24 in & 3.96 kg / 8.8 lb \\
2 & denmark & sniper rifle 1928 & 1168 mm / 46 in & 675 mm / 26.6 in & 5.265 kg / 11.7 lb \\
3 & usa & m1892 rifle & 1244.6 mm / 49 in & 762 mm / 30 in & 4.221 kg / 9.38 lb \\
4 & usa & m1892 carbine & 1046.5 mm / 41.2 in & 558.8 mm / 22 in & 3.735 kg / 8.3 lb \\
5 & usa & m1896 rifle & 1244.6 mm / 49 in & 762 mm / 30 in & 4.023 kg / 8.94 lb \\
6 & usa & m1896 cadet rifle & 1244.6 mm / 49 in & 762 mm / 30 in & 4.05 kg / 9.0 lb \\
7 & usa & m1896 carbine & 1046.5 mm / 41.2 in & 558.8 mm / 22 in & 3.488 kg / 7.75 lb \\
8 & usa & m1898 rifle & 1247.1 mm / 49.1 in & 762 mm / 30 in & 4.05 kg 9.0 lb \\
9 & usa & m1898 carbine & 1046.5 mm / 41.2 in & 558.8 mm / 22 in & 3.51 kg / 7.8 lb \\
10 & usa & m1899 carbine & 1046.5 mm / 41.2 in & 558.8 mm / 22 in & 3.542 kg / 7.87 lb \\
11 & usa & m1899 constable carbine & 1046.5 mm / 41.2 in & 558.8 mm / 22 in & 3.614 kg / 8.03 lb \\
12 & norway & m1894 rifle & 1267,5 mm / 49.9 in & 760 mm / 29.9 in & 4.221 kg / 9.38 lb \\
13 & norway & m1895 & m1897 carbine & 1016 mm / 40 in & 520 mm / 20.5 in & 3.375 kg / 7.5 lb \\
14 & norway & m1904 & m1907 carbine & 1016 mm / 40 in & 520 mm / 20.5 in & 3.78 kg / 8.4 lb \\
15 & norway & m1906 boy's carbine & 986 mm / 38.8 in & 520 mm / 20.5 in & 3.375 kg / 7.5 lb \\
16 & norway & m1912 short rifle & 1107 mm / 43.6 in & 610 mm / 24 in & 3.96 kg / 8.8 lb \\
17 & norway & m1923 sniper rifle & 1117 mm / 44 in & 610 mm / 24 in & 4.05 kg / 9.0 lb \\
18 & norway & m1925 sniper rifle & 1117 mm / 44 in & 610 mm / 24 in & 4.455 kg / 9.9 lb \\
19 & norway & m1930 sniper rifle & 1220 mm / 48 in & 750 mm / 29.5 in & 5.157 kg / 11.46 lb \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( * ) where model = 'm1904 & m1907 carbine' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>nation</th>
<th>model</th>
<th>length</th>
<th>barrel length</th>
<th>weight</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>denmark</td>
<td>rifle 1889</td>
<td>1328 mm / 52.28 in</td>
<td>832 mm / 32.78 in</td>
<td>4.275 kg / 9.5 lb</td>
</tr>
<tr>
<th>1</th>
<td>denmark</td>
<td>carbine 1889</td>
<td>1100 mm / 43.3 in</td>
<td>610 mm / 24 in</td>
<td>3.96 kg / 8.8 lb</td>
</tr>
<tr>
<th>2</th>
<td>denmark</td>
<td>sniper rifle 1928</td>
<td>1168 mm / 46 in</td>
<td>675 mm / 26.6 in</td>
<td>5.265 kg / 11.7 lb</td>
</tr>
<tr>
<th>3</th>
<td>usa</td>
<td>m1892 rifle</td>
<td>1244.6 mm / 49 in</td>
<td>762 mm / 30 in</td>
<td>4.221 kg / 9.38 lb</td>
</tr>
<tr>
<th>4</th>
<td>usa</td>
<td>m1892 carbine</td>
<td>1046.5 mm / 41.2 in</td>
<td>558.8 mm / 22 in</td>
<td>3.735 kg / 8.3 lb</td>
</tr>
<tr>
<th>5</th>
<td>usa</td>
<td>m1896 rifle</td>
<td>1244.6 mm / 49 in</td>
<td>762 mm / 30 in</td>
<td>4.023 kg / 8.94 lb</td>
</tr>
<tr>
<th>6</th>
<td>usa</td>
<td>m1896 cadet rifle</td>
<td>1244.6 mm / 49 in</td>
<td>762 mm / 30 in</td>
<td>4.05 kg / 9.0 lb</td>
</tr>
<tr>
<th>7</th>
<td>usa</td>
<td>m1896 carbine</td>
<td>1046.5 mm / 41.2 in</td>
<td>558.8 mm / 22 in</td>
<td>3.488 kg / 7.75 lb</td>
</tr>
<tr>
<th>8</th>
<td>usa</td>
<td>m1898 rifle</td>
<td>1247.1 mm / 49.1 in</td>
<td>762 mm / 30 in</td>
<td>4.05 kg 9.0 lb</td>
</tr>
<tr>
<th>9</th>
<td>usa</td>
<td>m1898 carbine</td>
<td>1046.5 mm / 41.2 in</td>
<td>558.8 mm / 22 in</td>
<td>3.51 kg / 7.8 lb</td>
</tr>
<tr>
<th>10</th>
<td>usa</td>
<td>m1899 carbine</td>
<td>1046.5 mm / 41.2 in</td>
<td>558.8 mm / 22 in</td>
<td>3.542 kg / 7.87 lb</td>
</tr>
<tr>
<th>11</th>
<td>usa</td>
<td>m1899 constable carbine</td>
<td>1046.5 mm / 41.2 in</td>
<td>558.8 mm / 22 in</td>
<td>3.614 kg / 8.03 lb</td>
</tr>
<tr>
<th>12</th>
<td>norway</td>
<td>m1894 rifle</td>
<td>1267,5 mm / 49.9 in</td>
<td>760 mm / 29.9 in</td>
<td>4.221 kg / 9.38 lb</td>
</tr>
<tr>
<th>13</th>
<td>norway</td>
<td>m1895 & m1897 carbine</td>
<td>1016 mm / 40 in</td>
<td>520 mm / 20.5 in</td>
<td>3.375 kg / 7.5 lb</td>
</tr>
<tr>
<th>14</th>
<td>norway</td>
<td>m1904 & m1907 carbine</td>
<td>1016 mm / 40 in</td>
<td>520 mm / 20.5 in</td>
<td>3.78 kg / 8.4 lb</td>
</tr>
<tr>
<th>15</th>
<td>norway</td>
<td>m1906 boy's carbine</td>
<td>986 mm / 38.8 in</td>
<td>520 mm / 20.5 in</td>
<td>3.375 kg / 7.5 lb</td>
</tr>
<tr>
<th>16</th>
<td>norway</td>
<td>m1912 short rifle</td>
<td>1107 mm / 43.6 in</td>
<td>610 mm / 24 in</td>
<td>3.96 kg / 8.8 lb</td>
</tr>
<tr>
<th>17</th>
<td>norway</td>
<td>m1923 sniper rifle</td>
<td>1117 mm / 44 in</td>
<td>610 mm / 24 in</td>
<td>4.05 kg / 9.0 lb</td>
</tr>
<tr>
<th>18</th>
<td>norway</td>
<td>m1925 sniper rifle</td>
<td>1117 mm / 44 in</td>
<td>610 mm / 24 in</td>
<td>4.455 kg / 9.9 lb</td>
</tr>
<tr>
<th>19</th>
<td>norway</td>
<td>m1930 sniper rifle</td>
<td>1220 mm / 48 in</td>
<td>750 mm / 29.5 in</td>
<td>5.157 kg / 11.46 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>1</td>
</tr>
</tbody>
</table> | select count ( * ) where model = 'm1904 & m1907 carbine' <table_name> : table | | nation | model | length | barrel length | weight |
|---:|:---------|:------------------------|:--------------------|:------------------|:--------------------|
| 0 | denmark | rifle 1889 | 1328 mm / 52.28 in | 832 mm / 32.78 in | 4.275 kg / 9.5 lb |
| 1 | denmark | carbine 1889 | 1100 mm / 43.3 in | 610 mm / 24 in | 3.96 kg / 8.8 lb |
| 2 | denmark | sniper rifle 1928 | 1168 mm / 46 in | 675 mm / 26.6 in | 5.265 kg / 11.7 lb |
| 3 | usa | m1892 rifle | 1244.6 mm / 49 in | 762 mm / 30 in | 4.221 kg / 9.38 lb |
| 4 | usa | m1892 carbine | 1046.5 mm / 41.2 in | 558.8 mm / 22 in | 3.735 kg / 8.3 lb |
| 5 | usa | m1896 rifle | 1244.6 mm / 49 in | 762 mm / 30 in | 4.023 kg / 8.94 lb |
| 6 | usa | m1896 cadet rifle | 1244.6 mm / 49 in | 762 mm / 30 in | 4.05 kg / 9.0 lb |
| 7 | usa | m1896 carbine | 1046.5 mm / 41.2 in | 558.8 mm / 22 in | 3.488 kg / 7.75 lb |
| 8 | usa | m1898 rifle | 1247.1 mm / 49.1 in | 762 mm / 30 in | 4.05 kg 9.0 lb |
| 9 | usa | m1898 carbine | 1046.5 mm / 41.2 in | 558.8 mm / 22 in | 3.51 kg / 7.8 lb |
| 10 | usa | m1899 carbine | 1046.5 mm / 41.2 in | 558.8 mm / 22 in | 3.542 kg / 7.87 lb |
| 11 | usa | m1899 constable carbine | 1046.5 mm / 41.2 in | 558.8 mm / 22 in | 3.614 kg / 8.03 lb |
| 12 | norway | m1894 rifle | 1267,5 mm / 49.9 in | 760 mm / 29.9 in | 4.221 kg / 9.38 lb |
| 13 | norway | m1895 & m1897 carbine | 1016 mm / 40 in | 520 mm / 20.5 in | 3.375 kg / 7.5 lb |
| 14 | norway | m1904 & m1907 carbine | 1016 mm / 40 in | 520 mm / 20.5 in | 3.78 kg / 8.4 lb |
| 15 | norway | m1906 boy's carbine | 986 mm / 38.8 in | 520 mm / 20.5 in | 3.375 kg / 7.5 lb |
| 16 | norway | m1912 short rifle | 1107 mm / 43.6 in | 610 mm / 24 in | 3.96 kg / 8.8 lb |
| 17 | norway | m1923 sniper rifle | 1117 mm / 44 in | 610 mm / 24 in | 4.05 kg / 9.0 lb |
| 18 | norway | m1925 sniper rifle | 1117 mm / 44 in | 610 mm / 24 in | 4.455 kg / 9.9 lb |
| 19 | norway | m1930 sniper rifle | 1220 mm / 48 in | 750 mm / 29.5 in | 5.157 kg / 11.46 lb | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 1 | | [
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select floors where street address = 'central avenue southeast and main street southeast' col : name | street address | years as tallest | height ft (m) | floors row 1 : globe building | 4th street south | 1882-1886 | 157 (48) | 8 row 2 : lumber exchange building | 10 5th street south | 1886-1887 | 165 (50) | 12 row 3 : industrial exposition building | central avenue southeast and main street southeast | 1887-1890 | 240 (73) | 8 row 4 : metropolitan building | 308 2nd avenue south | 1890-1895 | 258 (79) | 12 row 5 : minneapolis city hall | 350 5th street south | 1895-1929 | 341 (104) | 14 row 6 : foshay tower | 821 marquette avenue | 1929-1973 | 448 (137) | 32 row 7 : ids tower | 80 8th street south | 1973-present | 792 (241) | 55 | col : floors row 1 : 8 | select floors where street address = 'central avenue southeast and main street southeast' <table_name> : table \begin{tabular}{llllll}
\toprule
& name & street address & years as tallest & height ft (m) & floors \\
\midrule
0 & globe building & 4th street south & 1882-1886 & 157 (48) & 8 \\
1 & lumber exchange building & 10 5th street south & 1886-1887 & 165 (50) & 12 \\
2 & industrial exposition building & central avenue southeast and main street southeast & 1887-1890 & 240 (73) & 8 \\
3 & metropolitan building & 308 2nd avenue south & 1890-1895 & 258 (79) & 12 \\
4 & minneapolis city hall & 350 5th street south & 1895-1929 & 341 (104) & 14 \\
5 & foshay tower & 821 marquette avenue & 1929-1973 & 448 (137) & 32 \\
6 & ids tower & 80 8th street south & 1973-present & 792 (241) & 55 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& floors \\
\midrule
0 & 8 \\
\bottomrule
\end{tabular}
| select floors where street address = 'central avenue southeast and main street southeast' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>name</th>
<th>street address</th>
<th>years as tallest</th>
<th>height ft (m)</th>
<th>floors</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>globe building</td>
<td>4th street south</td>
<td>1882-1886</td>
<td>157 (48)</td>
<td>8</td>
</tr>
<tr>
<th>1</th>
<td>lumber exchange building</td>
<td>10 5th street south</td>
<td>1886-1887</td>
<td>165 (50)</td>
<td>12</td>
</tr>
<tr>
<th>2</th>
<td>industrial exposition building</td>
<td>central avenue southeast and main street southeast</td>
<td>1887-1890</td>
<td>240 (73)</td>
<td>8</td>
</tr>
<tr>
<th>3</th>
<td>metropolitan building</td>
<td>308 2nd avenue south</td>
<td>1890-1895</td>
<td>258 (79)</td>
<td>12</td>
</tr>
<tr>
<th>4</th>
<td>minneapolis city hall</td>
<td>350 5th street south</td>
<td>1895-1929</td>
<td>341 (104)</td>
<td>14</td>
</tr>
<tr>
<th>5</th>
<td>foshay tower</td>
<td>821 marquette avenue</td>
<td>1929-1973</td>
<td>448 (137)</td>
<td>32</td>
</tr>
<tr>
<th>6</th>
<td>ids tower</td>
<td>80 8th street south</td>
<td>1973-present</td>
<td>792 (241)</td>
<td>55</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>floors</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>8</td>
</tr>
</tbody>
</table> | select floors where street address = 'central avenue southeast and main street southeast' <table_name> : table | | name | street address | years as tallest | height ft (m) | floors |
|---:|:-------------------------------|:---------------------------------------------------|:-------------------|:----------------|---------:|
| 0 | globe building | 4th street south | 1882-1886 | 157 (48) | 8 |
| 1 | lumber exchange building | 10 5th street south | 1886-1887 | 165 (50) | 12 |
| 2 | industrial exposition building | central avenue southeast and main street southeast | 1887-1890 | 240 (73) | 8 |
| 3 | metropolitan building | 308 2nd avenue south | 1890-1895 | 258 (79) | 12 |
| 4 | minneapolis city hall | 350 5th street south | 1895-1929 | 341 (104) | 14 |
| 5 | foshay tower | 821 marquette avenue | 1929-1973 | 448 (137) | 32 |
| 6 | ids tower | 80 8th street south | 1973-present | 792 (241) | 55 | | | | floors |
|---:|---------:|
| 0 | 8 | | [
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] |
select count ( * ) where 2008 status = 're-election' col : district | incumbent | 2008 status | democratic | republican row 1 : 1 | diana degette | re-election | diana degette | george lilly row 2 : 2 | mark udall | open | jared polis | scott starin row 3 : 3 | john salazar | re-election | john salazar | wayne wolf row 4 : 4 | marilyn musgrave | re-election | betsy markey | marilyn musgrave row 5 : 5 | doug lamborn | re-election | hal bidlack | doug lamborn row 6 : 6 | tom tancredo | open | hank eng | mike coffman row 7 : 7 | ed perlmutter | re-election | ed perlmutter | john w. lerew | col : count ( "*" ) row 1 : 5 | select count ( * ) where 2008 status = 're-election' <table_name> : table \begin{tabular}{llllll}
\toprule
& district & incumbent & 2008 status & democratic & republican \\
\midrule
0 & 1 & diana degette & re-election & diana degette & george lilly \\
1 & 2 & mark udall & open & jared polis & scott starin \\
2 & 3 & john salazar & re-election & john salazar & wayne wolf \\
3 & 4 & marilyn musgrave & re-election & betsy markey & marilyn musgrave \\
4 & 5 & doug lamborn & re-election & hal bidlack & doug lamborn \\
5 & 6 & tom tancredo & open & hank eng & mike coffman \\
6 & 7 & ed perlmutter & re-election & ed perlmutter & john w. lerew \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 5 \\
\bottomrule
\end{tabular}
| select count ( * ) where 2008 status = 're-election' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>district</th>
<th>incumbent</th>
<th>2008 status</th>
<th>democratic</th>
<th>republican</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>diana degette</td>
<td>re-election</td>
<td>diana degette</td>
<td>george lilly</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>mark udall</td>
<td>open</td>
<td>jared polis</td>
<td>scott starin</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>john salazar</td>
<td>re-election</td>
<td>john salazar</td>
<td>wayne wolf</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>marilyn musgrave</td>
<td>re-election</td>
<td>betsy markey</td>
<td>marilyn musgrave</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>doug lamborn</td>
<td>re-election</td>
<td>hal bidlack</td>
<td>doug lamborn</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>tom tancredo</td>
<td>open</td>
<td>hank eng</td>
<td>mike coffman</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>ed perlmutter</td>
<td>re-election</td>
<td>ed perlmutter</td>
<td>john w. lerew</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>5</td>
</tr>
</tbody>
</table> | select count ( * ) where 2008 status = 're-election' <table_name> : table | | district | incumbent | 2008 status | democratic | republican |
|---:|-----------:|:-----------------|:--------------|:--------------|:-----------------|
| 0 | 1 | diana degette | re-election | diana degette | george lilly |
| 1 | 2 | mark udall | open | jared polis | scott starin |
| 2 | 3 | john salazar | re-election | john salazar | wayne wolf |
| 3 | 4 | marilyn musgrave | re-election | betsy markey | marilyn musgrave |
| 4 | 5 | doug lamborn | re-election | hal bidlack | doug lamborn |
| 5 | 6 | tom tancredo | open | hank eng | mike coffman |
| 6 | 7 | ed perlmutter | re-election | ed perlmutter | john w. lerew | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 5 | | [
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0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
]
] |
select count ( * ) where club performance league norway = 'premier league' col : club performance season norway | club performance club norway | club performance league norway | league apps league | league goals league | cup apps norwegian cup | cup goals norwegian cup | total apps total | total goals total row 1 : 1996 | viking | premier league | 1 | 0 | none | none | none | none row 2 : 1997 | viking | premier league | 13 | 5 | none | none | none | none row 3 : england | england | england | league | league | fa cup | fa cup | total | total row 4 : 1997-98 | manchester united | premier league | 1 | 0 | 3 | 0 | none | none row 5 : norway | norway | norway | league | league | norwegian cup | norwegian cup | total | total row 6 : 1998 | viking | premier league | 8 | 3 | none | none | none | none row 7 : sweden | sweden | sweden | league | league | svenska cupen | svenska cupen | total | total row 8 : 1999 | goteborg | allsvenskan | 4 | 0 | none | none | none | none row 9 : england | england | england | league | league | fa cup | fa cup | total | total row 10 : 1999-00 | manchester united | premier league | 0 | 0 | 0 | 0 | none | none row 11 : norway | norway | norway | league | league | norwegian cup | norwegian cup | total | total row 12 : 2000 | viking | premier league | 20 | 13 | none | none | none | none row 13 : 2001 | viking | premier league | 25 | 14 | none | none | none | none row 14 : 2002 | viking | premier league | 20 | 10 | none | none | none | none row 15 : 2003 | viking | premier league | 25 | 11 | none | none | none | none row 16 : 2004 | viking | premier league | 23 | 6 | none | none | none | none row 17 : netherlands | netherlands | netherlands | league | league | knvb cup | knvb cup | total | total row 18 : 2004-05 | groningen | eredivisie | 20 | 16 | 0 | 0 | 20 | 16 row 19 : 2005-06 | groningen | eredivisie | 29 | 8 | 5 | 2 | 34 | 10 row 20 : 2006-07 | groningen | eredivisie | 27 | 13 | 1 | 0 | 28 | 13 row 21 : 2007-08 | groningen | eredivisie | 12 | 6 | 1 | 0 | 13 | 6 row 22 : england | england | england | league | league | fa cup | fa cup | total | total row 23 : 2007-08 | fulham | premier league | 8 | 2 | 0 | 0 | 8 | 2 row 24 : 2008-09 | fulham | premier league | 21 | 4 | 3 | 0 | 24 | 4 row 25 : 2009-10 | fulham | premier league | 23 | 3 | 1 | 1 | 24 | 4 row 26 : norway | norway | norway | league | league | norwegian cup | norwegian cup | total | total row 27 : 2010 | viking | premier league | 12 | 6 | 1 | 0 | 13 | 6 row 28 : 2011 | viking | premier league | 28 | 8 | 5 | 5 | 33 | 13 row 29 : 2012 | viking | premier league | 14 | 2 | 1 | 1 | 15 | 3 row 30 : fulham total | fulham total | fulham total | 52 | 9 | 4 | 1 | 56 | 10 row 31 : total | norway | norway | 148 | 70 | none | none | none | none row 32 : total | england | england | 53 | 9 | none | none | none | none row 33 : total | sweden | sweden | 4 | 0 | none | none | none | none row 34 : total | netherlands | netherlands | 88 | 43 | none | none | none | none row 35 : career total | career total | career total | 259 | 111 | none | none | none | none | col : count ( "*" ) row 1 : 16 | select count ( * ) where club performance league norway = 'premier league' <table_name> : table \begin{tabular}{llllllllll}
\toprule
& club performance season norway & club performance club norway & club performance league norway & league apps league & league goals league & cup apps norwegian cup & cup goals norwegian cup & total apps total & total goals total \\
\midrule
0 & 1996 & viking & premier league & 1 & 0 & none & none & none & none \\
1 & 1997 & viking & premier league & 13 & 5 & none & none & none & none \\
2 & england & england & england & league & league & fa cup & fa cup & total & total \\
3 & 1997-98 & manchester united & premier league & 1 & 0 & 3 & 0 & none & none \\
4 & norway & norway & norway & league & league & norwegian cup & norwegian cup & total & total \\
5 & 1998 & viking & premier league & 8 & 3 & none & none & none & none \\
6 & sweden & sweden & sweden & league & league & svenska cupen & svenska cupen & total & total \\
7 & 1999 & goteborg & allsvenskan & 4 & 0 & none & none & none & none \\
8 & england & england & england & league & league & fa cup & fa cup & total & total \\
9 & 1999-00 & manchester united & premier league & 0 & 0 & 0 & 0 & none & none \\
10 & norway & norway & norway & league & league & norwegian cup & norwegian cup & total & total \\
11 & 2000 & viking & premier league & 20 & 13 & none & none & none & none \\
12 & 2001 & viking & premier league & 25 & 14 & none & none & none & none \\
13 & 2002 & viking & premier league & 20 & 10 & none & none & none & none \\
14 & 2003 & viking & premier league & 25 & 11 & none & none & none & none \\
15 & 2004 & viking & premier league & 23 & 6 & none & none & none & none \\
16 & netherlands & netherlands & netherlands & league & league & knvb cup & knvb cup & total & total \\
17 & 2004-05 & groningen & eredivisie & 20 & 16 & 0 & 0 & 20 & 16 \\
18 & 2005-06 & groningen & eredivisie & 29 & 8 & 5 & 2 & 34 & 10 \\
19 & 2006-07 & groningen & eredivisie & 27 & 13 & 1 & 0 & 28 & 13 \\
20 & 2007-08 & groningen & eredivisie & 12 & 6 & 1 & 0 & 13 & 6 \\
21 & england & england & england & league & league & fa cup & fa cup & total & total \\
22 & 2007-08 & fulham & premier league & 8 & 2 & 0 & 0 & 8 & 2 \\
23 & 2008-09 & fulham & premier league & 21 & 4 & 3 & 0 & 24 & 4 \\
24 & 2009-10 & fulham & premier league & 23 & 3 & 1 & 1 & 24 & 4 \\
25 & norway & norway & norway & league & league & norwegian cup & norwegian cup & total & total \\
26 & 2010 & viking & premier league & 12 & 6 & 1 & 0 & 13 & 6 \\
27 & 2011 & viking & premier league & 28 & 8 & 5 & 5 & 33 & 13 \\
28 & 2012 & viking & premier league & 14 & 2 & 1 & 1 & 15 & 3 \\
29 & fulham total & fulham total & fulham total & 52 & 9 & 4 & 1 & 56 & 10 \\
30 & total & norway & norway & 148 & 70 & none & none & none & none \\
31 & total & england & england & 53 & 9 & none & none & none & none \\
32 & total & sweden & sweden & 4 & 0 & none & none & none & none \\
33 & total & netherlands & netherlands & 88 & 43 & none & none & none & none \\
34 & career total & career total & career total & 259 & 111 & none & none & none & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 16 \\
\bottomrule
\end{tabular}
| select count ( * ) where club performance league norway = 'premier league' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>club performance season norway</th>
<th>club performance club norway</th>
<th>club performance league norway</th>
<th>league apps league</th>
<th>league goals league</th>
<th>cup apps norwegian cup</th>
<th>cup goals norwegian cup</th>
<th>total apps total</th>
<th>total goals total</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1996</td>
<td>viking</td>
<td>premier league</td>
<td>1</td>
<td>0</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>1997</td>
<td>viking</td>
<td>premier league</td>
<td>13</td>
<td>5</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>england</td>
<td>england</td>
<td>england</td>
<td>league</td>
<td>league</td>
<td>fa cup</td>
<td>fa cup</td>
<td>total</td>
<td>total</td>
</tr>
<tr>
<th>3</th>
<td>1997-98</td>
<td>manchester united</td>
<td>premier league</td>
<td>1</td>
<td>0</td>
<td>3</td>
<td>0</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>norway</td>
<td>norway</td>
<td>norway</td>
<td>league</td>
<td>league</td>
<td>norwegian cup</td>
<td>norwegian cup</td>
<td>total</td>
<td>total</td>
</tr>
<tr>
<th>5</th>
<td>1998</td>
<td>viking</td>
<td>premier league</td>
<td>8</td>
<td>3</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>sweden</td>
<td>sweden</td>
<td>sweden</td>
<td>league</td>
<td>league</td>
<td>svenska cupen</td>
<td>svenska cupen</td>
<td>total</td>
<td>total</td>
</tr>
<tr>
<th>7</th>
<td>1999</td>
<td>goteborg</td>
<td>allsvenskan</td>
<td>4</td>
<td>0</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>england</td>
<td>england</td>
<td>england</td>
<td>league</td>
<td>league</td>
<td>fa cup</td>
<td>fa cup</td>
<td>total</td>
<td>total</td>
</tr>
<tr>
<th>9</th>
<td>1999-00</td>
<td>manchester united</td>
<td>premier league</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>norway</td>
<td>norway</td>
<td>norway</td>
<td>league</td>
<td>league</td>
<td>norwegian cup</td>
<td>norwegian cup</td>
<td>total</td>
<td>total</td>
</tr>
<tr>
<th>11</th>
<td>2000</td>
<td>viking</td>
<td>premier league</td>
<td>20</td>
<td>13</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>12</th>
<td>2001</td>
<td>viking</td>
<td>premier league</td>
<td>25</td>
<td>14</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>2002</td>
<td>viking</td>
<td>premier league</td>
<td>20</td>
<td>10</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>14</th>
<td>2003</td>
<td>viking</td>
<td>premier league</td>
<td>25</td>
<td>11</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>2004</td>
<td>viking</td>
<td>premier league</td>
<td>23</td>
<td>6</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>16</th>
<td>netherlands</td>
<td>netherlands</td>
<td>netherlands</td>
<td>league</td>
<td>league</td>
<td>knvb cup</td>
<td>knvb cup</td>
<td>total</td>
<td>total</td>
</tr>
<tr>
<th>17</th>
<td>2004-05</td>
<td>groningen</td>
<td>eredivisie</td>
<td>20</td>
<td>16</td>
<td>0</td>
<td>0</td>
<td>20</td>
<td>16</td>
</tr>
<tr>
<th>18</th>
<td>2005-06</td>
<td>groningen</td>
<td>eredivisie</td>
<td>29</td>
<td>8</td>
<td>5</td>
<td>2</td>
<td>34</td>
<td>10</td>
</tr>
<tr>
<th>19</th>
<td>2006-07</td>
<td>groningen</td>
<td>eredivisie</td>
<td>27</td>
<td>13</td>
<td>1</td>
<td>0</td>
<td>28</td>
<td>13</td>
</tr>
<tr>
<th>20</th>
<td>2007-08</td>
<td>groningen</td>
<td>eredivisie</td>
<td>12</td>
<td>6</td>
<td>1</td>
<td>0</td>
<td>13</td>
<td>6</td>
</tr>
<tr>
<th>21</th>
<td>england</td>
<td>england</td>
<td>england</td>
<td>league</td>
<td>league</td>
<td>fa cup</td>
<td>fa cup</td>
<td>total</td>
<td>total</td>
</tr>
<tr>
<th>22</th>
<td>2007-08</td>
<td>fulham</td>
<td>premier league</td>
<td>8</td>
<td>2</td>
<td>0</td>
<td>0</td>
<td>8</td>
<td>2</td>
</tr>
<tr>
<th>23</th>
<td>2008-09</td>
<td>fulham</td>
<td>premier league</td>
<td>21</td>
<td>4</td>
<td>3</td>
<td>0</td>
<td>24</td>
<td>4</td>
</tr>
<tr>
<th>24</th>
<td>2009-10</td>
<td>fulham</td>
<td>premier league</td>
<td>23</td>
<td>3</td>
<td>1</td>
<td>1</td>
<td>24</td>
<td>4</td>
</tr>
<tr>
<th>25</th>
<td>norway</td>
<td>norway</td>
<td>norway</td>
<td>league</td>
<td>league</td>
<td>norwegian cup</td>
<td>norwegian cup</td>
<td>total</td>
<td>total</td>
</tr>
<tr>
<th>26</th>
<td>2010</td>
<td>viking</td>
<td>premier league</td>
<td>12</td>
<td>6</td>
<td>1</td>
<td>0</td>
<td>13</td>
<td>6</td>
</tr>
<tr>
<th>27</th>
<td>2011</td>
<td>viking</td>
<td>premier league</td>
<td>28</td>
<td>8</td>
<td>5</td>
<td>5</td>
<td>33</td>
<td>13</td>
</tr>
<tr>
<th>28</th>
<td>2012</td>
<td>viking</td>
<td>premier league</td>
<td>14</td>
<td>2</td>
<td>1</td>
<td>1</td>
<td>15</td>
<td>3</td>
</tr>
<tr>
<th>29</th>
<td>fulham total</td>
<td>fulham total</td>
<td>fulham total</td>
<td>52</td>
<td>9</td>
<td>4</td>
<td>1</td>
<td>56</td>
<td>10</td>
</tr>
<tr>
<th>30</th>
<td>total</td>
<td>norway</td>
<td>norway</td>
<td>148</td>
<td>70</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>31</th>
<td>total</td>
<td>england</td>
<td>england</td>
<td>53</td>
<td>9</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>32</th>
<td>total</td>
<td>sweden</td>
<td>sweden</td>
<td>4</td>
<td>0</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>33</th>
<td>total</td>
<td>netherlands</td>
<td>netherlands</td>
<td>88</td>
<td>43</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>34</th>
<td>career total</td>
<td>career total</td>
<td>career total</td>
<td>259</td>
<td>111</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>16</td>
</tr>
</tbody>
</table> | select count ( * ) where club performance league norway = 'premier league' <table_name> : table | | club performance season norway | club performance club norway | club performance league norway | league apps league | league goals league | cup apps norwegian cup | cup goals norwegian cup | total apps total | total goals total |
|---:|:---------------------------------|:-------------------------------|:---------------------------------|:---------------------|:----------------------|:-------------------------|:--------------------------|:-------------------|:--------------------|
| 0 | 1996 | viking | premier league | 1 | 0 | none | none | none | none |
| 1 | 1997 | viking | premier league | 13 | 5 | none | none | none | none |
| 2 | england | england | england | league | league | fa cup | fa cup | total | total |
| 3 | 1997-98 | manchester united | premier league | 1 | 0 | 3 | 0 | none | none |
| 4 | norway | norway | norway | league | league | norwegian cup | norwegian cup | total | total |
| 5 | 1998 | viking | premier league | 8 | 3 | none | none | none | none |
| 6 | sweden | sweden | sweden | league | league | svenska cupen | svenska cupen | total | total |
| 7 | 1999 | goteborg | allsvenskan | 4 | 0 | none | none | none | none |
| 8 | england | england | england | league | league | fa cup | fa cup | total | total |
| 9 | 1999-00 | manchester united | premier league | 0 | 0 | 0 | 0 | none | none |
| 10 | norway | norway | norway | league | league | norwegian cup | norwegian cup | total | total |
| 11 | 2000 | viking | premier league | 20 | 13 | none | none | none | none |
| 12 | 2001 | viking | premier league | 25 | 14 | none | none | none | none |
| 13 | 2002 | viking | premier league | 20 | 10 | none | none | none | none |
| 14 | 2003 | viking | premier league | 25 | 11 | none | none | none | none |
| 15 | 2004 | viking | premier league | 23 | 6 | none | none | none | none |
| 16 | netherlands | netherlands | netherlands | league | league | knvb cup | knvb cup | total | total |
| 17 | 2004-05 | groningen | eredivisie | 20 | 16 | 0 | 0 | 20 | 16 |
| 18 | 2005-06 | groningen | eredivisie | 29 | 8 | 5 | 2 | 34 | 10 |
| 19 | 2006-07 | groningen | eredivisie | 27 | 13 | 1 | 0 | 28 | 13 |
| 20 | 2007-08 | groningen | eredivisie | 12 | 6 | 1 | 0 | 13 | 6 |
| 21 | england | england | england | league | league | fa cup | fa cup | total | total |
| 22 | 2007-08 | fulham | premier league | 8 | 2 | 0 | 0 | 8 | 2 |
| 23 | 2008-09 | fulham | premier league | 21 | 4 | 3 | 0 | 24 | 4 |
| 24 | 2009-10 | fulham | premier league | 23 | 3 | 1 | 1 | 24 | 4 |
| 25 | norway | norway | norway | league | league | norwegian cup | norwegian cup | total | total |
| 26 | 2010 | viking | premier league | 12 | 6 | 1 | 0 | 13 | 6 |
| 27 | 2011 | viking | premier league | 28 | 8 | 5 | 5 | 33 | 13 |
| 28 | 2012 | viking | premier league | 14 | 2 | 1 | 1 | 15 | 3 |
| 29 | fulham total | fulham total | fulham total | 52 | 9 | 4 | 1 | 56 | 10 |
| 30 | total | norway | norway | 148 | 70 | none | none | none | none |
| 31 | total | england | england | 53 | 9 | none | none | none | none |
| 32 | total | sweden | sweden | 4 | 0 | none | none | none | none |
| 33 | total | netherlands | netherlands | 88 | 43 | none | none | none | none |
| 34 | career total | career total | career total | 259 | 111 | none | none | none | none | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 16 | | [
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select count ( method ) where opponent = 'ovince st. preux' 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 : count ( "method" ) row 1 : 1 | select count ( method ) where opponent = 'ovince st. preux' <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
& count ( "method" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( method ) where opponent = 'ovince st. preux' <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>count ( "method" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( method ) where opponent = 'ovince st. preux' <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 | | | | count ( "method" ) |
|---:|---------------------:|
| 0 | 1 | | [
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select apps where season = 2008 col : season | team | country | division | apps | goals row 1 : 2003 | shandong luneng | china | 1 | 4 | 0 row 2 : 2004 | shandong luneng | china | 1 | 0 | 0 row 3 : 2005 | shandong luneng | china | 1 | 0 | 0 row 4 : 2006 | chengdu wuniu | china | 2 | 1 | 0 row 5 : 2007 | shandong luneng | china | 1 | 0 | 0 row 6 : 2008 | jiangsu sainty | china | 2 | 24 | 0 row 7 : 2009 | jiangsu sainty | china | 1 | 15 | 0 row 8 : 2010 | jiangsu sainty | china | 1 | 17 | 0 row 9 : 2011 | jiangsu sainty | china | 1 | 9 | 0 row 10 : 2012 | jiangsu sainty | china | 1 | 0 | 0 row 11 : 2013 | jiangsu sainty | china | 1 | 11 | 0 | col : apps row 1 : 24 | select apps where season = 2008 <table_name> : table \begin{tabular}{lllllll}
\toprule
& season & team & country & division & apps & goals \\
\midrule
0 & 2003 & shandong luneng & china & 1 & 4 & 0 \\
1 & 2004 & shandong luneng & china & 1 & 0 & 0 \\
2 & 2005 & shandong luneng & china & 1 & 0 & 0 \\
3 & 2006 & chengdu wuniu & china & 2 & 1 & 0 \\
4 & 2007 & shandong luneng & china & 1 & 0 & 0 \\
5 & 2008 & jiangsu sainty & china & 2 & 24 & 0 \\
6 & 2009 & jiangsu sainty & china & 1 & 15 & 0 \\
7 & 2010 & jiangsu sainty & china & 1 & 17 & 0 \\
8 & 2011 & jiangsu sainty & china & 1 & 9 & 0 \\
9 & 2012 & jiangsu sainty & china & 1 & 0 & 0 \\
10 & 2013 & jiangsu sainty & china & 1 & 11 & 0 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& apps \\
\midrule
0 & 24 \\
\bottomrule
\end{tabular}
| select apps where season = 2008 <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>division</th>
<th>apps</th>
<th>goals</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2003</td>
<td>shandong luneng</td>
<td>china</td>
<td>1</td>
<td>4</td>
<td>0</td>
</tr>
<tr>
<th>1</th>
<td>2004</td>
<td>shandong luneng</td>
<td>china</td>
<td>1</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>2</th>
<td>2005</td>
<td>shandong luneng</td>
<td>china</td>
<td>1</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>3</th>
<td>2006</td>
<td>chengdu wuniu</td>
<td>china</td>
<td>2</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<th>4</th>
<td>2007</td>
<td>shandong luneng</td>
<td>china</td>
<td>1</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>5</th>
<td>2008</td>
<td>jiangsu sainty</td>
<td>china</td>
<td>2</td>
<td>24</td>
<td>0</td>
</tr>
<tr>
<th>6</th>
<td>2009</td>
<td>jiangsu sainty</td>
<td>china</td>
<td>1</td>
<td>15</td>
<td>0</td>
</tr>
<tr>
<th>7</th>
<td>2010</td>
<td>jiangsu sainty</td>
<td>china</td>
<td>1</td>
<td>17</td>
<td>0</td>
</tr>
<tr>
<th>8</th>
<td>2011</td>
<td>jiangsu sainty</td>
<td>china</td>
<td>1</td>
<td>9</td>
<td>0</td>
</tr>
<tr>
<th>9</th>
<td>2012</td>
<td>jiangsu sainty</td>
<td>china</td>
<td>1</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>10</th>
<td>2013</td>
<td>jiangsu sainty</td>
<td>china</td>
<td>1</td>
<td>11</td>
<td>0</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>apps</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>24</td>
</tr>
</tbody>
</table> | select apps where season = 2008 <table_name> : table | | season | team | country | division | apps | goals |
|---:|---------:|:----------------|:----------|-----------:|-------:|--------:|
| 0 | 2003 | shandong luneng | china | 1 | 4 | 0 |
| 1 | 2004 | shandong luneng | china | 1 | 0 | 0 |
| 2 | 2005 | shandong luneng | china | 1 | 0 | 0 |
| 3 | 2006 | chengdu wuniu | china | 2 | 1 | 0 |
| 4 | 2007 | shandong luneng | china | 1 | 0 | 0 |
| 5 | 2008 | jiangsu sainty | china | 2 | 24 | 0 |
| 6 | 2009 | jiangsu sainty | china | 1 | 15 | 0 |
| 7 | 2010 | jiangsu sainty | china | 1 | 17 | 0 |
| 8 | 2011 | jiangsu sainty | china | 1 | 9 | 0 |
| 9 | 2012 | jiangsu sainty | china | 1 | 0 | 0 |
| 10 | 2013 | jiangsu sainty | china | 1 | 11 | 0 | | | | apps |
|---:|-------:|
| 0 | 24 | | [
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] |
select count ( current officer ) where # < 10 col : # | office | current officer row 1 : none | may succeed to governorship | none row 2 : none | governor of new mexico | susana martinez row 3 : 1 | lieutenant governor of new mexico | john sanchez row 4 : 2 | secretary of state of new mexico | dianna duran row 5 : 3 | president pro tempore of the senate | mary kay papen row 6 : 4 | speaker of the house of representatives | w. ken martinez row 7 : none | may serve as emergency interim successor | none row 8 : 4 | attorney general of new mexico | gary king row 9 : 5 | state auditor | hector balderas row 10 : 6 | state treasurer | james b. lewis row 11 : 7 | commissioner of public lands | ray powell row 12 : 8 | ,public regulation commission,, chair, | patrick lyons row 13 : 9 | public regulation commissioner | karen montoya row 14 : 10 | public regulation commissioner | valerie espinoza row 15 : 11 | public regulation commissioner | theresa becenti-aguilar row 16 : 12 | public regulation commissioner | ben hall | col : count ( "current officer" ) row 1 : 1 | select count ( current officer ) where # < 10 <table_name> : table \begin{tabular}{llll}
\toprule
& # & office & current officer \\
\midrule
0 & none & may succeed to governorship & none \\
1 & none & governor of new mexico & susana martinez \\
2 & 1 & lieutenant governor of new mexico & john sanchez \\
3 & 2 & secretary of state of new mexico & dianna duran \\
4 & 3 & president pro tempore of the senate & mary kay papen \\
5 & 4 & speaker of the house of representatives & w. ken martinez \\
6 & none & may serve as emergency interim successor & none \\
7 & 4 & attorney general of new mexico & gary king \\
8 & 5 & state auditor & hector balderas \\
9 & 6 & state treasurer & james b. lewis \\
10 & 7 & commissioner of public lands & ray powell \\
11 & 8 & ,public regulation commission,, chair, & patrick lyons \\
12 & 9 & public regulation commissioner & karen montoya \\
13 & 10 & public regulation commissioner & valerie espinoza \\
14 & 11 & public regulation commissioner & theresa becenti-aguilar \\
15 & 12 & public regulation commissioner & ben hall \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "current officer" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( current officer ) where # < 10 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>#</th>
<th>office</th>
<th>current officer</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>none</td>
<td>may succeed to governorship</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>none</td>
<td>governor of new mexico</td>
<td>susana martinez</td>
</tr>
<tr>
<th>2</th>
<td>1</td>
<td>lieutenant governor of new mexico</td>
<td>john sanchez</td>
</tr>
<tr>
<th>3</th>
<td>2</td>
<td>secretary of state of new mexico</td>
<td>dianna duran</td>
</tr>
<tr>
<th>4</th>
<td>3</td>
<td>president pro tempore of the senate</td>
<td>mary kay papen</td>
</tr>
<tr>
<th>5</th>
<td>4</td>
<td>speaker of the house of representatives</td>
<td>w. ken martinez</td>
</tr>
<tr>
<th>6</th>
<td>none</td>
<td>may serve as emergency interim successor</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>4</td>
<td>attorney general of new mexico</td>
<td>gary king</td>
</tr>
<tr>
<th>8</th>
<td>5</td>
<td>state auditor</td>
<td>hector balderas</td>
</tr>
<tr>
<th>9</th>
<td>6</td>
<td>state treasurer</td>
<td>james b. lewis</td>
</tr>
<tr>
<th>10</th>
<td>7</td>
<td>commissioner of public lands</td>
<td>ray powell</td>
</tr>
<tr>
<th>11</th>
<td>8</td>
<td>,public regulation commission,, chair,</td>
<td>patrick lyons</td>
</tr>
<tr>
<th>12</th>
<td>9</td>
<td>public regulation commissioner</td>
<td>karen montoya</td>
</tr>
<tr>
<th>13</th>
<td>10</td>
<td>public regulation commissioner</td>
<td>valerie espinoza</td>
</tr>
<tr>
<th>14</th>
<td>11</td>
<td>public regulation commissioner</td>
<td>theresa becenti-aguilar</td>
</tr>
<tr>
<th>15</th>
<td>12</td>
<td>public regulation commissioner</td>
<td>ben hall</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "current officer" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( current officer ) where # < 10 <table_name> : table | | # | office | current officer |
|---:|:-----|:-----------------------------------------|:------------------------|
| 0 | none | may succeed to governorship | none |
| 1 | none | governor of new mexico | susana martinez |
| 2 | 1 | lieutenant governor of new mexico | john sanchez |
| 3 | 2 | secretary of state of new mexico | dianna duran |
| 4 | 3 | president pro tempore of the senate | mary kay papen |
| 5 | 4 | speaker of the house of representatives | w. ken martinez |
| 6 | none | may serve as emergency interim successor | none |
| 7 | 4 | attorney general of new mexico | gary king |
| 8 | 5 | state auditor | hector balderas |
| 9 | 6 | state treasurer | james b. lewis |
| 10 | 7 | commissioner of public lands | ray powell |
| 11 | 8 | ,public regulation commission,, chair, | patrick lyons |
| 12 | 9 | public regulation commissioner | karen montoya |
| 13 | 10 | public regulation commissioner | valerie espinoza |
| 14 | 11 | public regulation commissioner | theresa becenti-aguilar |
| 15 | 12 | public regulation commissioner | ben hall | | | | count ( "current officer" ) |
|---:|------------------------------:|
| 0 | 1 | | [
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select count ( * ) where number of episodes < number of episodes col : airing date | english title (chinese title) | number of episodes | main cast | theme song (t) sub-theme song (st) | genre | notes | official website row 1 : 19 feb- 15 mar | mutual affection 河東獅吼 | 20 | esther kwan, gordon lam, natalie wong | t: "怕老婆會發達" (david lui) | costume drama | none | none row 2 : 18 mar- 3 may | dark tales 聊齋 | 35 | gallen lo, grace yu, jamie wang, cynthia khan | t: "隔世情" (cass phang) | costume drama | prequel to 1998's dark tales ii | none row 3 : 6 may- 31 may | money just can't buy 天降財神 | 20 | bobby au yeung, mariane chan, roger kwok, hilary tsui | t: "運財有福星" (natalis chan) | modern drama | none | none row 4 : 3 jun- 21 jun | crossing boundaries 盞鬼老豆 | 15 | mini kung, benz hui | t: "覺悟" (vivian lai) | modern drama | released overseas on april 3, 1995 | none row 5 : 24 jun- 16 aug | state of divinity 笑傲江湖 | 40 | jackie lui, fiona leung, cherie chan, timmy ho, he meitian | t: "活得瀟灑" (alan tam & priscilla chan) | costume drama | none | official website row 6 : 19 aug- 6 sep | the price to pay 五個醒覺的少年 | 20 | john kwan, may kwong, ng ka lok | t: "改改改" (hacken lee) | modern drama | released overseas on december 7, 1995 | none row 7 : 9 sep- 4 oct | night journey 殭屍福星 | 20 | yuen wah, daniel chan, louisa so, cheung kwok keung, halina tam | t: "今天開始" (daniel chan) st: "天生一對" (daniel chan) | costume drama | none | none row 8 : 7 oct- 15 nov | food of love 闔府統請 | 30 | wong he, kenix kwok, marco ngai, gabriel harrison | t: "闔府統請" (gabriel harrison) | modern drama | none | none row 9 : 10 nov- 20 dec | journey to the west 西遊記 | 30 | dicky cheung, kwong wah, wayne lai, evergreen mak | t: "西遊記" (dicky cheung) | costume drama | prequel to 1998's journey to the west ii | official website row 10 : 30 dec 1996- 27 jan 1998 | in the name of love 有肥人終成眷屬 | 20 | kent cheng, sunny chan, gigi fu, theresa lee | t: "但願有情人" (mo kai yin) | modern drama | none | none | col : count ( "*" ) row 1 : 0 | select count ( * ) where number of episodes < number of episodes <table_name> : table \begin{tabular}{lllllllll}
\toprule
& airing date & english title (chinese title) & number of episodes & main cast & theme song (t) sub-theme song (st) & genre & notes & official website \\
\midrule
0 & 19 feb- 15 mar & mutual affection 河東獅吼 & 20 & esther kwan, gordon lam, natalie wong & t: "怕老婆會發達" (david lui) & costume drama & none & none \\
1 & 18 mar- 3 may & dark tales 聊齋 & 35 & gallen lo, grace yu, jamie wang, cynthia khan & t: "隔世情" (cass phang) & costume drama & prequel to 1998's dark tales ii & none \\
2 & 6 may- 31 may & money just can't buy 天降財神 & 20 & bobby au yeung, mariane chan, roger kwok, hilary tsui & t: "運財有福星" (natalis chan) & modern drama & none & none \\
3 & 3 jun- 21 jun & crossing boundaries 盞鬼老豆 & 15 & mini kung, benz hui & t: "覺悟" (vivian lai) & modern drama & released overseas on april 3, 1995 & none \\
4 & 24 jun- 16 aug & state of divinity 笑傲江湖 & 40 & jackie lui, fiona leung, cherie chan, timmy ho, he meitian & t: "活得瀟灑" (alan tam & priscilla chan) & costume drama & none & official website \\
5 & 19 aug- 6 sep & the price to pay 五個醒覺的少年 & 20 & john kwan, may kwong, ng ka lok & t: "改改改" (hacken lee) & modern drama & released overseas on december 7, 1995 & none \\
6 & 9 sep- 4 oct & night journey 殭屍福星 & 20 & yuen wah, daniel chan, louisa so, cheung kwok keung, halina tam & t: "今天開始" (daniel chan) st: "天生一對" (daniel chan) & costume drama & none & none \\
7 & 7 oct- 15 nov & food of love 闔府統請 & 30 & wong he, kenix kwok, marco ngai, gabriel harrison & t: "闔府統請" (gabriel harrison) & modern drama & none & none \\
8 & 10 nov- 20 dec & journey to the west 西遊記 & 30 & dicky cheung, kwong wah, wayne lai, evergreen mak & t: "西遊記" (dicky cheung) & costume drama & prequel to 1998's journey to the west ii & official website \\
9 & 30 dec 1996- 27 jan 1998 & in the name of love 有肥人終成眷屬 & 20 & kent cheng, sunny chan, gigi fu, theresa lee & t: "但願有情人" (mo kai yin) & modern drama & none & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( * ) where number of episodes < number of episodes <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>airing date</th>
<th>english title (chinese title)</th>
<th>number of episodes</th>
<th>main cast</th>
<th>theme song (t) sub-theme song (st)</th>
<th>genre</th>
<th>notes</th>
<th>official website</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>19 feb- 15 mar</td>
<td>mutual affection 河東獅吼</td>
<td>20</td>
<td>esther kwan, gordon lam, natalie wong</td>
<td>t: "怕老婆會發達" (david lui)</td>
<td>costume drama</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>18 mar- 3 may</td>
<td>dark tales 聊齋</td>
<td>35</td>
<td>gallen lo, grace yu, jamie wang, cynthia khan</td>
<td>t: "隔世情" (cass phang)</td>
<td>costume drama</td>
<td>prequel to 1998's dark tales ii</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>6 may- 31 may</td>
<td>money just can't buy 天降財神</td>
<td>20</td>
<td>bobby au yeung, mariane chan, roger kwok, hilary tsui</td>
<td>t: "運財有福星" (natalis chan)</td>
<td>modern drama</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>3 jun- 21 jun</td>
<td>crossing boundaries 盞鬼老豆</td>
<td>15</td>
<td>mini kung, benz hui</td>
<td>t: "覺悟" (vivian lai)</td>
<td>modern drama</td>
<td>released overseas on april 3, 1995</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>24 jun- 16 aug</td>
<td>state of divinity 笑傲江湖</td>
<td>40</td>
<td>jackie lui, fiona leung, cherie chan, timmy ho, he meitian</td>
<td>t: "活得瀟灑" (alan tam & priscilla chan)</td>
<td>costume drama</td>
<td>none</td>
<td>official website</td>
</tr>
<tr>
<th>5</th>
<td>19 aug- 6 sep</td>
<td>the price to pay 五個醒覺的少年</td>
<td>20</td>
<td>john kwan, may kwong, ng ka lok</td>
<td>t: "改改改" (hacken lee)</td>
<td>modern drama</td>
<td>released overseas on december 7, 1995</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>9 sep- 4 oct</td>
<td>night journey 殭屍福星</td>
<td>20</td>
<td>yuen wah, daniel chan, louisa so, cheung kwok keung, halina tam</td>
<td>t: "今天開始" (daniel chan) st: "天生一對" (daniel chan)</td>
<td>costume drama</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>7 oct- 15 nov</td>
<td>food of love 闔府統請</td>
<td>30</td>
<td>wong he, kenix kwok, marco ngai, gabriel harrison</td>
<td>t: "闔府統請" (gabriel harrison)</td>
<td>modern drama</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>10 nov- 20 dec</td>
<td>journey to the west 西遊記</td>
<td>30</td>
<td>dicky cheung, kwong wah, wayne lai, evergreen mak</td>
<td>t: "西遊記" (dicky cheung)</td>
<td>costume drama</td>
<td>prequel to 1998's journey to the west ii</td>
<td>official website</td>
</tr>
<tr>
<th>9</th>
<td>30 dec 1996- 27 jan 1998</td>
<td>in the name of love 有肥人終成眷屬</td>
<td>20</td>
<td>kent cheng, sunny chan, gigi fu, theresa lee</td>
<td>t: "但願有情人" (mo kai yin)</td>
<td>modern drama</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>0</td>
</tr>
</tbody>
</table> | select count ( * ) where number of episodes < number of episodes <table_name> : table | | airing date | english title (chinese title) | number of episodes | main cast | theme song (t) sub-theme song (st) | genre | notes | official website |
|---:|:-------------------------|:-----------------------------------|---------------------:|:----------------------------------------------------------------|:---------------------------------------------------------|:--------------|:-----------------------------------------|:-------------------|
| 0 | 19 feb- 15 mar | mutual affection 河東獅吼 | 20 | esther kwan, gordon lam, natalie wong | t: "怕老婆會發達" (david lui) | costume drama | none | none |
| 1 | 18 mar- 3 may | dark tales 聊齋 | 35 | gallen lo, grace yu, jamie wang, cynthia khan | t: "隔世情" (cass phang) | costume drama | prequel to 1998's dark tales ii | none |
| 2 | 6 may- 31 may | money just can't buy 天降財神 | 20 | bobby au yeung, mariane chan, roger kwok, hilary tsui | t: "運財有福星" (natalis chan) | modern drama | none | none |
| 3 | 3 jun- 21 jun | crossing boundaries 盞鬼老豆 | 15 | mini kung, benz hui | t: "覺悟" (vivian lai) | modern drama | released overseas on april 3, 1995 | none |
| 4 | 24 jun- 16 aug | state of divinity 笑傲江湖 | 40 | jackie lui, fiona leung, cherie chan, timmy ho, he meitian | t: "活得瀟灑" (alan tam & priscilla chan) | costume drama | none | official website |
| 5 | 19 aug- 6 sep | the price to pay 五個醒覺的少年 | 20 | john kwan, may kwong, ng ka lok | t: "改改改" (hacken lee) | modern drama | released overseas on december 7, 1995 | none |
| 6 | 9 sep- 4 oct | night journey 殭屍福星 | 20 | yuen wah, daniel chan, louisa so, cheung kwok keung, halina tam | t: "今天開始" (daniel chan) st: "天生一對" (daniel chan) | costume drama | none | none |
| 7 | 7 oct- 15 nov | food of love 闔府統請 | 30 | wong he, kenix kwok, marco ngai, gabriel harrison | t: "闔府統請" (gabriel harrison) | modern drama | none | none |
| 8 | 10 nov- 20 dec | journey to the west 西遊記 | 30 | dicky cheung, kwong wah, wayne lai, evergreen mak | t: "西遊記" (dicky cheung) | costume drama | prequel to 1998's journey to the west ii | official website |
| 9 | 30 dec 1996- 27 jan 1998 | in the name of love 有肥人終成眷屬 | 20 | kent cheng, sunny chan, gigi fu, theresa lee | t: "但願有情人" (mo kai yin) | modern drama | none | none | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 0 | | [
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] |
select count ( month ) where jun > 1447 col : month | jan | feb | mar | apr | may | jun | jul | aug | sep | oct | nov | dec | year row 1 : average high °f (°c) | 64 (18) | 63 (17) | 63 (17) | 64 (18) | 65 (18) | 67 (19) | 70 (21) | 71 (22) | 71 (22) | 70 (21) | 67 (19) | 64 (18) | 66.6 (19.2) row 2 : average low °f (°c) | 51 (11) | 52 (11) | 53 (12) | 55 (13) | 57 (14) | 60 (16) | 63 (17) | 63 (17) | 63 (17) | 60 (16) | 55 (13) | 51 (11) | 56.9 (14) row 3 : precipitation inches (mm) | 2.84 (72.1) | 3.44 (87.4) | 1.96 (49.8) | 0.66 (16.8) | 0.21 (5.3) | 0.04 (1) | 0.01 (0.3) | 0.04 (1) | 0.13 (3.3) | 0.50 (12.7) | 1.08 (27.4) | 1.88 (47.8) | 12.79 (324.9) row 4 : avg. rainy days | 7.0 | 7.9 | 5.1 | 2.4 | 1.0 | 0.4 | 0.1 | 0.5 | 1.0 | 0.8 | 2.5 | 4.0 | 32.7 | col : count ( "month" ) row 1 : 2 | select count ( month ) where jun > 1447 <table_name> : table \begin{tabular}{lllllllllllllll}
\toprule
& month & jan & feb & mar & apr & may & jun & jul & aug & sep & oct & nov & dec & year \\
\midrule
0 & average high °f (°c) & 64 (18) & 63 (17) & 63 (17) & 64 (18) & 65 (18) & 67 (19) & 70 (21) & 71 (22) & 71 (22) & 70 (21) & 67 (19) & 64 (18) & 66.6 (19.2) \\
1 & average low °f (°c) & 51 (11) & 52 (11) & 53 (12) & 55 (13) & 57 (14) & 60 (16) & 63 (17) & 63 (17) & 63 (17) & 60 (16) & 55 (13) & 51 (11) & 56.9 (14) \\
2 & precipitation inches (mm) & 2.84 (72.1) & 3.44 (87.4) & 1.96 (49.8) & 0.66 (16.8) & 0.21 (5.3) & 0.04 (1) & 0.01 (0.3) & 0.04 (1) & 0.13 (3.3) & 0.50 (12.7) & 1.08 (27.4) & 1.88 (47.8) & 12.79 (324.9) \\
3 & avg. rainy days & 7.0 & 7.9 & 5.1 & 2.4 & 1.0 & 0.4 & 0.1 & 0.5 & 1.0 & 0.8 & 2.5 & 4.0 & 32.7 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "month" ) \\
\midrule
0 & 2 \\
\bottomrule
\end{tabular}
| select count ( month ) where jun > 1447 <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>average high °f (°c)</td>
<td>64 (18)</td>
<td>63 (17)</td>
<td>63 (17)</td>
<td>64 (18)</td>
<td>65 (18)</td>
<td>67 (19)</td>
<td>70 (21)</td>
<td>71 (22)</td>
<td>71 (22)</td>
<td>70 (21)</td>
<td>67 (19)</td>
<td>64 (18)</td>
<td>66.6 (19.2)</td>
</tr>
<tr>
<th>1</th>
<td>average low °f (°c)</td>
<td>51 (11)</td>
<td>52 (11)</td>
<td>53 (12)</td>
<td>55 (13)</td>
<td>57 (14)</td>
<td>60 (16)</td>
<td>63 (17)</td>
<td>63 (17)</td>
<td>63 (17)</td>
<td>60 (16)</td>
<td>55 (13)</td>
<td>51 (11)</td>
<td>56.9 (14)</td>
</tr>
<tr>
<th>2</th>
<td>precipitation inches (mm)</td>
<td>2.84 (72.1)</td>
<td>3.44 (87.4)</td>
<td>1.96 (49.8)</td>
<td>0.66 (16.8)</td>
<td>0.21 (5.3)</td>
<td>0.04 (1)</td>
<td>0.01 (0.3)</td>
<td>0.04 (1)</td>
<td>0.13 (3.3)</td>
<td>0.50 (12.7)</td>
<td>1.08 (27.4)</td>
<td>1.88 (47.8)</td>
<td>12.79 (324.9)</td>
</tr>
<tr>
<th>3</th>
<td>avg. rainy days</td>
<td>7.0</td>
<td>7.9</td>
<td>5.1</td>
<td>2.4</td>
<td>1.0</td>
<td>0.4</td>
<td>0.1</td>
<td>0.5</td>
<td>1.0</td>
<td>0.8</td>
<td>2.5</td>
<td>4.0</td>
<td>32.7</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 jun > 1447 <table_name> : table | | month | jan | feb | mar | apr | may | jun | jul | aug | sep | oct | nov | dec | year |
|---:|:--------------------------|:------------|:------------|:------------|:------------|:-----------|:---------|:-----------|:---------|:-----------|:------------|:------------|:------------|:--------------|
| 0 | average high °f (°c) | 64 (18) | 63 (17) | 63 (17) | 64 (18) | 65 (18) | 67 (19) | 70 (21) | 71 (22) | 71 (22) | 70 (21) | 67 (19) | 64 (18) | 66.6 (19.2) |
| 1 | average low °f (°c) | 51 (11) | 52 (11) | 53 (12) | 55 (13) | 57 (14) | 60 (16) | 63 (17) | 63 (17) | 63 (17) | 60 (16) | 55 (13) | 51 (11) | 56.9 (14) |
| 2 | precipitation inches (mm) | 2.84 (72.1) | 3.44 (87.4) | 1.96 (49.8) | 0.66 (16.8) | 0.21 (5.3) | 0.04 (1) | 0.01 (0.3) | 0.04 (1) | 0.13 (3.3) | 0.50 (12.7) | 1.08 (27.4) | 1.88 (47.8) | 12.79 (324.9) |
| 3 | avg. rainy days | 7.0 | 7.9 | 5.1 | 2.4 | 1.0 | 0.4 | 0.1 | 0.5 | 1.0 | 0.8 | 2.5 | 4.0 | 32.7 | | | | count ( "month" ) |
|---:|--------------------:|
| 0 | 2 | | [
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select constructor where driver = 'jo siffert' col : pos | no | driver | constructor | laps | time/retired | grid | points row 1 : 1 | 11 | jackie stewart | tyrrell-ford | 80 | 1:52:21.3 | 1 | 9 row 2 : 2 | 17 | ronnie peterson | march-ford | 80 | + 25.6 | 6 | 6 row 3 : 3 | 4 | jacky ickx | ferrari | 80 | + 53.3 | 2 | 4 row 4 : 4 | 9 | denny hulme | mclaren-ford | 80 | + 1:06.7 | 8 | 3 row 5 : 5 | 1 | emerson fittipaldi | lotus-ford | 79 | + 1 lap | 17 | 2 row 6 : 6 | 24 | rolf stommelen | surtees-ford | 79 | + 1 lap | 16 | 1 row 7 : 7 | 22 | john surtees | surtees-ford | 79 | + 1 lap | 10 | none row 8 : 8 | 27 | henri pescarolo | march-ford | 77 | + 3 laps | 13 | none row 9 : 9 | 15 | pedro rodriguez | brm | 76 | + 4 laps | 5 | none row 10 : 10 | 8 | tim schenken | brabham-ford | 76 | + 4 laps | 18 | none row 11 : ret | 14 | jo siffert | brm | 58 | oil pipe | 3 | none row 12 : ret | 21 | jean-pierre beltoise | matra | 47 | differential | 7 | none row 13 : ret | 20 | chris amon | matra | 45 | differential | 4 | none row 14 : ret | 5 | clay regazzoni | ferrari | 24 | accident | 11 | none row 15 : ret | 10 | peter gethin | mclaren-ford | 22 | accident | 14 | none row 16 : ret | 2 | reine wisell | lotus-ford | 21 | wheel bearing | 12 | none row 17 : ret | 12 | francois cevert | tyrrell-ford | 5 | accident | 15 | none row 18 : ret | 7 | graham hill | brabham-ford | 1 | accident | 9 | none row 19 : dnq | 16 | howden ganley | brm | none | none | none | none row 20 : dnq | 6 | mario andretti | ferrari | none | none | none | none row 21 : dnq | 19 | nanni galli | march-alfa-romeo | none | none | none | none row 22 : dnq | 18 | alex soler-roig | march-ford | none | none | none | none row 23 : dnq | 28 | skip barber | march-ford | none | none | none | none | col : constructor row 1 : brm | select constructor where driver = 'jo siffert' <table_name> : table \begin{tabular}{lllllllll}
\toprule
& pos & no & driver & constructor & laps & time/retired & grid & points \\
\midrule
0 & 1 & 11 & jackie stewart & tyrrell-ford & 80 & 1:52:21.3 & 1 & 9 \\
1 & 2 & 17 & ronnie peterson & march-ford & 80 & + 25.6 & 6 & 6 \\
2 & 3 & 4 & jacky ickx & ferrari & 80 & + 53.3 & 2 & 4 \\
3 & 4 & 9 & denny hulme & mclaren-ford & 80 & + 1:06.7 & 8 & 3 \\
4 & 5 & 1 & emerson fittipaldi & lotus-ford & 79 & + 1 lap & 17 & 2 \\
5 & 6 & 24 & rolf stommelen & surtees-ford & 79 & + 1 lap & 16 & 1 \\
6 & 7 & 22 & john surtees & surtees-ford & 79 & + 1 lap & 10 & none \\
7 & 8 & 27 & henri pescarolo & march-ford & 77 & + 3 laps & 13 & none \\
8 & 9 & 15 & pedro rodriguez & brm & 76 & + 4 laps & 5 & none \\
9 & 10 & 8 & tim schenken & brabham-ford & 76 & + 4 laps & 18 & none \\
10 & ret & 14 & jo siffert & brm & 58 & oil pipe & 3 & none \\
11 & ret & 21 & jean-pierre beltoise & matra & 47 & differential & 7 & none \\
12 & ret & 20 & chris amon & matra & 45 & differential & 4 & none \\
13 & ret & 5 & clay regazzoni & ferrari & 24 & accident & 11 & none \\
14 & ret & 10 & peter gethin & mclaren-ford & 22 & accident & 14 & none \\
15 & ret & 2 & reine wisell & lotus-ford & 21 & wheel bearing & 12 & none \\
16 & ret & 12 & francois cevert & tyrrell-ford & 5 & accident & 15 & none \\
17 & ret & 7 & graham hill & brabham-ford & 1 & accident & 9 & none \\
18 & dnq & 16 & howden ganley & brm & none & none & none & none \\
19 & dnq & 6 & mario andretti & ferrari & none & none & none & none \\
20 & dnq & 19 & nanni galli & march-alfa-romeo & none & none & none & none \\
21 & dnq & 18 & alex soler-roig & march-ford & none & none & none & none \\
22 & dnq & 28 & skip barber & march-ford & none & none & none & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& constructor \\
\midrule
0 & brm \\
\bottomrule
\end{tabular}
| select constructor where driver = 'jo siffert' <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>11</td>
<td>jackie stewart</td>
<td>tyrrell-ford</td>
<td>80</td>
<td>1:52:21.3</td>
<td>1</td>
<td>9</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>17</td>
<td>ronnie peterson</td>
<td>march-ford</td>
<td>80</td>
<td>+ 25.6</td>
<td>6</td>
<td>6</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>4</td>
<td>jacky ickx</td>
<td>ferrari</td>
<td>80</td>
<td>+ 53.3</td>
<td>2</td>
<td>4</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>9</td>
<td>denny hulme</td>
<td>mclaren-ford</td>
<td>80</td>
<td>+ 1:06.7</td>
<td>8</td>
<td>3</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>1</td>
<td>emerson fittipaldi</td>
<td>lotus-ford</td>
<td>79</td>
<td>+ 1 lap</td>
<td>17</td>
<td>2</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>24</td>
<td>rolf stommelen</td>
<td>surtees-ford</td>
<td>79</td>
<td>+ 1 lap</td>
<td>16</td>
<td>1</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>22</td>
<td>john surtees</td>
<td>surtees-ford</td>
<td>79</td>
<td>+ 1 lap</td>
<td>10</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>27</td>
<td>henri pescarolo</td>
<td>march-ford</td>
<td>77</td>
<td>+ 3 laps</td>
<td>13</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>15</td>
<td>pedro rodriguez</td>
<td>brm</td>
<td>76</td>
<td>+ 4 laps</td>
<td>5</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>8</td>
<td>tim schenken</td>
<td>brabham-ford</td>
<td>76</td>
<td>+ 4 laps</td>
<td>18</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>ret</td>
<td>14</td>
<td>jo siffert</td>
<td>brm</td>
<td>58</td>
<td>oil pipe</td>
<td>3</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>ret</td>
<td>21</td>
<td>jean-pierre beltoise</td>
<td>matra</td>
<td>47</td>
<td>differential</td>
<td>7</td>
<td>none</td>
</tr>
<tr>
<th>12</th>
<td>ret</td>
<td>20</td>
<td>chris amon</td>
<td>matra</td>
<td>45</td>
<td>differential</td>
<td>4</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>ret</td>
<td>5</td>
<td>clay regazzoni</td>
<td>ferrari</td>
<td>24</td>
<td>accident</td>
<td>11</td>
<td>none</td>
</tr>
<tr>
<th>14</th>
<td>ret</td>
<td>10</td>
<td>peter gethin</td>
<td>mclaren-ford</td>
<td>22</td>
<td>accident</td>
<td>14</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>ret</td>
<td>2</td>
<td>reine wisell</td>
<td>lotus-ford</td>
<td>21</td>
<td>wheel bearing</td>
<td>12</td>
<td>none</td>
</tr>
<tr>
<th>16</th>
<td>ret</td>
<td>12</td>
<td>francois cevert</td>
<td>tyrrell-ford</td>
<td>5</td>
<td>accident</td>
<td>15</td>
<td>none</td>
</tr>
<tr>
<th>17</th>
<td>ret</td>
<td>7</td>
<td>graham hill</td>
<td>brabham-ford</td>
<td>1</td>
<td>accident</td>
<td>9</td>
<td>none</td>
</tr>
<tr>
<th>18</th>
<td>dnq</td>
<td>16</td>
<td>howden ganley</td>
<td>brm</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>19</th>
<td>dnq</td>
<td>6</td>
<td>mario andretti</td>
<td>ferrari</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>20</th>
<td>dnq</td>
<td>19</td>
<td>nanni galli</td>
<td>march-alfa-romeo</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>21</th>
<td>dnq</td>
<td>18</td>
<td>alex soler-roig</td>
<td>march-ford</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>22</th>
<td>dnq</td>
<td>28</td>
<td>skip barber</td>
<td>march-ford</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>constructor</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>brm</td>
</tr>
</tbody>
</table> | select constructor where driver = 'jo siffert' <table_name> : table | | pos | no | driver | constructor | laps | time/retired | grid | points |
|---:|:------|-----:|:---------------------|:-----------------|:-------|:---------------|:-------|:---------|
| 0 | 1 | 11 | jackie stewart | tyrrell-ford | 80 | 1:52:21.3 | 1 | 9 |
| 1 | 2 | 17 | ronnie peterson | march-ford | 80 | + 25.6 | 6 | 6 |
| 2 | 3 | 4 | jacky ickx | ferrari | 80 | + 53.3 | 2 | 4 |
| 3 | 4 | 9 | denny hulme | mclaren-ford | 80 | + 1:06.7 | 8 | 3 |
| 4 | 5 | 1 | emerson fittipaldi | lotus-ford | 79 | + 1 lap | 17 | 2 |
| 5 | 6 | 24 | rolf stommelen | surtees-ford | 79 | + 1 lap | 16 | 1 |
| 6 | 7 | 22 | john surtees | surtees-ford | 79 | + 1 lap | 10 | none |
| 7 | 8 | 27 | henri pescarolo | march-ford | 77 | + 3 laps | 13 | none |
| 8 | 9 | 15 | pedro rodriguez | brm | 76 | + 4 laps | 5 | none |
| 9 | 10 | 8 | tim schenken | brabham-ford | 76 | + 4 laps | 18 | none |
| 10 | ret | 14 | jo siffert | brm | 58 | oil pipe | 3 | none |
| 11 | ret | 21 | jean-pierre beltoise | matra | 47 | differential | 7 | none |
| 12 | ret | 20 | chris amon | matra | 45 | differential | 4 | none |
| 13 | ret | 5 | clay regazzoni | ferrari | 24 | accident | 11 | none |
| 14 | ret | 10 | peter gethin | mclaren-ford | 22 | accident | 14 | none |
| 15 | ret | 2 | reine wisell | lotus-ford | 21 | wheel bearing | 12 | none |
| 16 | ret | 12 | francois cevert | tyrrell-ford | 5 | accident | 15 | none |
| 17 | ret | 7 | graham hill | brabham-ford | 1 | accident | 9 | none |
| 18 | dnq | 16 | howden ganley | brm | none | none | none | none |
| 19 | dnq | 6 | mario andretti | ferrari | none | none | none | none |
| 20 | dnq | 19 | nanni galli | march-alfa-romeo | none | none | none | none |
| 21 | dnq | 18 | alex soler-roig | march-ford | none | none | none | none |
| 22 | dnq | 28 | skip barber | march-ford | none | none | none | none | | | | constructor |
|---:|:--------------|
| 0 | brm | | [
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select scored where date = '21 october 2003' col : # | date | venue | opponent | result | competition | scored row 1 : 1 | 2002-03-05 00:00:00 | lagos | sweden | 3-6 | algarve cup | 1 row 2 : 2 | 2002-09-22 00:00:00 | st andrew's, birmingham | iceland | 1-0 | 2003 fifa world cup qual | 1 row 3 : 3 | 2003-10-21 00:00:00 | kryoia soveto, moscow | russia | 2-2 | friendly | 1 row 4 : 4 | 2003-11-14 00:00:00 | deepdale, preston | scotland | 5-0 | friendly | 1 row 5 : 5 | 2004-09-16 00:00:00 | sportpark de wending, heerhugowaard | netherlands | 2-1 | friendly | 1 row 6 : 6 | 2005-02-17 00:00:00 | national hockey stadium, milton keynes | italy | 4-1 | friendly | 1 row 7 : 7 | 2005-03-09 00:00:00 | faro | portugal | 4-0 | algarve cup | 1 row 8 : 8 | 2005-04-21 00:00:00 | prenton park, tranmere | scotland | 2-1 | friendly | 1 row 9 : 9 | 2005-06-05 00:00:00 | city of manchester stadium, manchester | finland | 3-2 | 2005 uefa championship | 1 row 10 : 10 | 2005-09-01 00:00:00 | ertl-glas-stadion, amstetten | austria | 4-1 | 2007 fifa world cup qual | 1 | col : scored row 1 : 1 | select scored where date = '21 october 2003' <table_name> : table \begin{tabular}{llllllll}
\toprule
& # & date & venue & opponent & result & competition & scored \\
\midrule
0 & 1 & 2002-03-05 00:00:00 & lagos & sweden & 3-6 & algarve cup & 1 \\
1 & 2 & 2002-09-22 00:00:00 & st andrew's, birmingham & iceland & 1-0 & 2003 fifa world cup qual & 1 \\
2 & 3 & 2003-10-21 00:00:00 & kryoia soveto, moscow & russia & 2-2 & friendly & 1 \\
3 & 4 & 2003-11-14 00:00:00 & deepdale, preston & scotland & 5-0 & friendly & 1 \\
4 & 5 & 2004-09-16 00:00:00 & sportpark de wending, heerhugowaard & netherlands & 2-1 & friendly & 1 \\
5 & 6 & 2005-02-17 00:00:00 & national hockey stadium, milton keynes & italy & 4-1 & friendly & 1 \\
6 & 7 & 2005-03-09 00:00:00 & faro & portugal & 4-0 & algarve cup & 1 \\
7 & 8 & 2005-04-21 00:00:00 & prenton park, tranmere & scotland & 2-1 & friendly & 1 \\
8 & 9 & 2005-06-05 00:00:00 & city of manchester stadium, manchester & finland & 3-2 & 2005 uefa championship & 1 \\
9 & 10 & 2005-09-01 00:00:00 & ertl-glas-stadion, amstetten & austria & 4-1 & 2007 fifa world cup qual & 1 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& scored \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select scored where date = '21 october 2003' <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>result</th>
<th>competition</th>
<th>scored</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>2002-03-05 00:00:00</td>
<td>lagos</td>
<td>sweden</td>
<td>3-6</td>
<td>algarve cup</td>
<td>1</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>2002-09-22 00:00:00</td>
<td>st andrew's, birmingham</td>
<td>iceland</td>
<td>1-0</td>
<td>2003 fifa world cup qual</td>
<td>1</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>2003-10-21 00:00:00</td>
<td>kryoia soveto, moscow</td>
<td>russia</td>
<td>2-2</td>
<td>friendly</td>
<td>1</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>2003-11-14 00:00:00</td>
<td>deepdale, preston</td>
<td>scotland</td>
<td>5-0</td>
<td>friendly</td>
<td>1</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>2004-09-16 00:00:00</td>
<td>sportpark de wending, heerhugowaard</td>
<td>netherlands</td>
<td>2-1</td>
<td>friendly</td>
<td>1</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>2005-02-17 00:00:00</td>
<td>national hockey stadium, milton keynes</td>
<td>italy</td>
<td>4-1</td>
<td>friendly</td>
<td>1</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>2005-03-09 00:00:00</td>
<td>faro</td>
<td>portugal</td>
<td>4-0</td>
<td>algarve cup</td>
<td>1</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>2005-04-21 00:00:00</td>
<td>prenton park, tranmere</td>
<td>scotland</td>
<td>2-1</td>
<td>friendly</td>
<td>1</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>2005-06-05 00:00:00</td>
<td>city of manchester stadium, manchester</td>
<td>finland</td>
<td>3-2</td>
<td>2005 uefa championship</td>
<td>1</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>2005-09-01 00:00:00</td>
<td>ertl-glas-stadion, amstetten</td>
<td>austria</td>
<td>4-1</td>
<td>2007 fifa world cup qual</td>
<td>1</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>scored</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select scored where date = '21 october 2003' <table_name> : table | | # | date | venue | opponent | result | competition | scored |
|---:|----:|:--------------------|:---------------------------------------|:------------|:---------|:-------------------------|---------:|
| 0 | 1 | 2002-03-05 00:00:00 | lagos | sweden | 3-6 | algarve cup | 1 |
| 1 | 2 | 2002-09-22 00:00:00 | st andrew's, birmingham | iceland | 1-0 | 2003 fifa world cup qual | 1 |
| 2 | 3 | 2003-10-21 00:00:00 | kryoia soveto, moscow | russia | 2-2 | friendly | 1 |
| 3 | 4 | 2003-11-14 00:00:00 | deepdale, preston | scotland | 5-0 | friendly | 1 |
| 4 | 5 | 2004-09-16 00:00:00 | sportpark de wending, heerhugowaard | netherlands | 2-1 | friendly | 1 |
| 5 | 6 | 2005-02-17 00:00:00 | national hockey stadium, milton keynes | italy | 4-1 | friendly | 1 |
| 6 | 7 | 2005-03-09 00:00:00 | faro | portugal | 4-0 | algarve cup | 1 |
| 7 | 8 | 2005-04-21 00:00:00 | prenton park, tranmere | scotland | 2-1 | friendly | 1 |
| 8 | 9 | 2005-06-05 00:00:00 | city of manchester stadium, manchester | finland | 3-2 | 2005 uefa championship | 1 |
| 9 | 10 | 2005-09-01 00:00:00 | ertl-glas-stadion, amstetten | austria | 4-1 | 2007 fifa world cup qual | 1 | | | | scored |
|---:|---------:|
| 0 | 1 | | [
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select airdate where multichannels rank = 9 col : episode no. | airdate | viewers | bbc three weekly ranking | multichannels rank row 1 : 1 | 25 april 2013 | 979,000 | 2 | 9 row 2 : 2 | 2 may 2013 | 978,000 | 1 | 11 row 3 : 3 | 9 may 2013 | 885,000 | 1 | 11 row 4 : 4 | 16 may 2013 | 880,000 | 1 | 13 row 5 : 5 | 23 may 2013 | 1,092,000 | 1 | 5 row 6 : 6 | 30 may 2013 | 1,094,000 | 1 | 3 row 7 : 7 | 6 june 2013 | 975,000 | 2 | 6 row 8 : 8 | 13 june 2013 | 840,000 | 5 | 19 row 9 : 9 | 20 june 2013 | 1,204,000 | 6 | 9 row 10 : 10 | 27 june 2013 | 730,000 | none | 28 row 11 : 11 | 4 july 2013 | none | none | none row 12 : 12 | 11 july 2013 | none | none | none | col : airdate row 1 : 25 april 2013 row 2 : 20 june 2013 | select airdate where multichannels rank = 9 <table_name> : table \begin{tabular}{llllll}
\toprule
& episode no. & airdate & viewers & bbc three weekly ranking & multichannels rank \\
\midrule
0 & 1 & 25 april 2013 & 979,000 & 2 & 9 \\
1 & 2 & 2 may 2013 & 978,000 & 1 & 11 \\
2 & 3 & 9 may 2013 & 885,000 & 1 & 11 \\
3 & 4 & 16 may 2013 & 880,000 & 1 & 13 \\
4 & 5 & 23 may 2013 & 1,092,000 & 1 & 5 \\
5 & 6 & 30 may 2013 & 1,094,000 & 1 & 3 \\
6 & 7 & 6 june 2013 & 975,000 & 2 & 6 \\
7 & 8 & 13 june 2013 & 840,000 & 5 & 19 \\
8 & 9 & 20 june 2013 & 1,204,000 & 6 & 9 \\
9 & 10 & 27 june 2013 & 730,000 & none & 28 \\
10 & 11 & 4 july 2013 & none & none & none \\
11 & 12 & 11 july 2013 & none & none & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& airdate \\
\midrule
0 & 25 april 2013 \\
1 & 20 june 2013 \\
\bottomrule
\end{tabular}
| select airdate where multichannels rank = 9 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>episode no.</th>
<th>airdate</th>
<th>viewers</th>
<th>bbc three weekly ranking</th>
<th>multichannels rank</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>25 april 2013</td>
<td>979,000</td>
<td>2</td>
<td>9</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>2 may 2013</td>
<td>978,000</td>
<td>1</td>
<td>11</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>9 may 2013</td>
<td>885,000</td>
<td>1</td>
<td>11</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>16 may 2013</td>
<td>880,000</td>
<td>1</td>
<td>13</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>23 may 2013</td>
<td>1,092,000</td>
<td>1</td>
<td>5</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>30 may 2013</td>
<td>1,094,000</td>
<td>1</td>
<td>3</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>6 june 2013</td>
<td>975,000</td>
<td>2</td>
<td>6</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>13 june 2013</td>
<td>840,000</td>
<td>5</td>
<td>19</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>20 june 2013</td>
<td>1,204,000</td>
<td>6</td>
<td>9</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>27 june 2013</td>
<td>730,000</td>
<td>none</td>
<td>28</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>4 july 2013</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>11 july 2013</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>airdate</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>25 april 2013</td>
</tr>
<tr>
<th>1</th>
<td>20 june 2013</td>
</tr>
</tbody>
</table> | select airdate where multichannels rank = 9 <table_name> : table | | episode no. | airdate | viewers | bbc three weekly ranking | multichannels rank |
|---:|--------------:|:--------------|:----------|:---------------------------|:---------------------|
| 0 | 1 | 25 april 2013 | 979,000 | 2 | 9 |
| 1 | 2 | 2 may 2013 | 978,000 | 1 | 11 |
| 2 | 3 | 9 may 2013 | 885,000 | 1 | 11 |
| 3 | 4 | 16 may 2013 | 880,000 | 1 | 13 |
| 4 | 5 | 23 may 2013 | 1,092,000 | 1 | 5 |
| 5 | 6 | 30 may 2013 | 1,094,000 | 1 | 3 |
| 6 | 7 | 6 june 2013 | 975,000 | 2 | 6 |
| 7 | 8 | 13 june 2013 | 840,000 | 5 | 19 |
| 8 | 9 | 20 june 2013 | 1,204,000 | 6 | 9 |
| 9 | 10 | 27 june 2013 | 730,000 | none | 28 |
| 10 | 11 | 4 july 2013 | none | none | none |
| 11 | 12 | 11 july 2013 | none | none | none | | | | airdate |
|---:|:--------------|
| 0 | 25 april 2013 |
| 1 | 20 june 2013 | | [
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select province where capital = 'cadiz' col : province | capital | population | density | municipalities | legal districts row 1 : almeria | almeria | 702819 | 72.5 /km2 (188 /sq mi) | 102 municipalities | 8 row 2 : cadiz | cadiz | 1243519 | 158.8 /km2 (411 /sq mi) | 44 municipalities | 14 row 3 : cordoba | cordoba | 805857 | 72.4 /km2 (188 /sq mi) | 75 municipalities | 12 row 4 : granada | granada | 924550 | 68.7 /km2 (178 /sq mi) | 169 municipalities | 9 row 5 : huelva | huelva | 521968 | 47.7 /km2 (124 /sq mi) | 79 municipalities | 6 row 6 : jaen | jaen | 670600 | 49.1 /km2 (127 /sq mi) | 97 municipalities | 10 row 7 : malaga | malaga | 1625827 | 204.1 /km2 (529 /sq mi) | 101 municipalities | 11 row 8 : seville | seville | 1928962 | 129.2 /km2 (335 /sq mi) | 105 municipalities | 15 | col : province row 1 : cadiz | select province where capital = 'cadiz' <table_name> : table \begin{tabular}{lllllll}
\toprule
& province & capital & population & density & municipalities & legal districts \\
\midrule
0 & almeria & almeria & 702819 & 72.5 /km2 (188 /sq mi) & 102 municipalities & 8 \\
1 & cadiz & cadiz & 1243519 & 158.8 /km2 (411 /sq mi) & 44 municipalities & 14 \\
2 & cordoba & cordoba & 805857 & 72.4 /km2 (188 /sq mi) & 75 municipalities & 12 \\
3 & granada & granada & 924550 & 68.7 /km2 (178 /sq mi) & 169 municipalities & 9 \\
4 & huelva & huelva & 521968 & 47.7 /km2 (124 /sq mi) & 79 municipalities & 6 \\
5 & jaen & jaen & 670600 & 49.1 /km2 (127 /sq mi) & 97 municipalities & 10 \\
6 & malaga & malaga & 1625827 & 204.1 /km2 (529 /sq mi) & 101 municipalities & 11 \\
7 & seville & seville & 1928962 & 129.2 /km2 (335 /sq mi) & 105 municipalities & 15 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& province \\
\midrule
0 & cadiz \\
\bottomrule
\end{tabular}
| select province where capital = 'cadiz' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>province</th>
<th>capital</th>
<th>population</th>
<th>density</th>
<th>municipalities</th>
<th>legal districts</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>almeria</td>
<td>almeria</td>
<td>702819</td>
<td>72.5 /km2 (188 /sq mi)</td>
<td>102 municipalities</td>
<td>8</td>
</tr>
<tr>
<th>1</th>
<td>cadiz</td>
<td>cadiz</td>
<td>1243519</td>
<td>158.8 /km2 (411 /sq mi)</td>
<td>44 municipalities</td>
<td>14</td>
</tr>
<tr>
<th>2</th>
<td>cordoba</td>
<td>cordoba</td>
<td>805857</td>
<td>72.4 /km2 (188 /sq mi)</td>
<td>75 municipalities</td>
<td>12</td>
</tr>
<tr>
<th>3</th>
<td>granada</td>
<td>granada</td>
<td>924550</td>
<td>68.7 /km2 (178 /sq mi)</td>
<td>169 municipalities</td>
<td>9</td>
</tr>
<tr>
<th>4</th>
<td>huelva</td>
<td>huelva</td>
<td>521968</td>
<td>47.7 /km2 (124 /sq mi)</td>
<td>79 municipalities</td>
<td>6</td>
</tr>
<tr>
<th>5</th>
<td>jaen</td>
<td>jaen</td>
<td>670600</td>
<td>49.1 /km2 (127 /sq mi)</td>
<td>97 municipalities</td>
<td>10</td>
</tr>
<tr>
<th>6</th>
<td>malaga</td>
<td>malaga</td>
<td>1625827</td>
<td>204.1 /km2 (529 /sq mi)</td>
<td>101 municipalities</td>
<td>11</td>
</tr>
<tr>
<th>7</th>
<td>seville</td>
<td>seville</td>
<td>1928962</td>
<td>129.2 /km2 (335 /sq mi)</td>
<td>105 municipalities</td>
<td>15</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>province</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>cadiz</td>
</tr>
</tbody>
</table> | select province where capital = 'cadiz' <table_name> : table | | province | capital | population | density | municipalities | legal districts |
|---:|:-----------|:----------|-------------:|:------------------------|:-------------------|------------------:|
| 0 | almeria | almeria | 702819 | 72.5 /km2 (188 /sq mi) | 102 municipalities | 8 |
| 1 | cadiz | cadiz | 1243519 | 158.8 /km2 (411 /sq mi) | 44 municipalities | 14 |
| 2 | cordoba | cordoba | 805857 | 72.4 /km2 (188 /sq mi) | 75 municipalities | 12 |
| 3 | granada | granada | 924550 | 68.7 /km2 (178 /sq mi) | 169 municipalities | 9 |
| 4 | huelva | huelva | 521968 | 47.7 /km2 (124 /sq mi) | 79 municipalities | 6 |
| 5 | jaen | jaen | 670600 | 49.1 /km2 (127 /sq mi) | 97 municipalities | 10 |
| 6 | malaga | malaga | 1625827 | 204.1 /km2 (529 /sq mi) | 101 municipalities | 11 |
| 7 | seville | seville | 1928962 | 129.2 /km2 (335 /sq mi) | 105 municipalities | 15 | | | | province |
|---:|:-----------|
| 0 | cadiz | | [
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select count ( nation ) where bronze < 391 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 : count ( "nation" ) row 1 : 6 | select count ( nation ) where bronze < 391 <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
& count ( "nation" ) \\
\midrule
0 & 6 \\
\bottomrule
\end{tabular}
| select count ( nation ) where bronze < 391 <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>count ( "nation" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>6</td>
</tr>
</tbody>
</table> | select count ( nation ) where bronze < 391 <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 | | | | count ( "nation" ) |
|---:|---------------------:|
| 0 | 6 | | [
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select count ( * ) where date = 'january 3, 1949' col : date | opponent | score | result | location | attendance row 1 : 1948-12-03 00:00:00 | butler | 67-62 | win | champaign, il | none row 2 : 1948-12-08 00:00:00 | notre dame | 59-58 | win (ot) | notre dame, in | none row 3 : 1948-12-11 00:00:00 | depaul | 50-60 | loss | chicago, il | 17189 row 4 : 1948-12-13 00:00:00 | oklahoma | 73-68 | win | champaign, il | 6902 row 5 : 1948-12-18 00:00:00 | pennsylvania | 80-61 | win | champaign, il | 3943 row 6 : 1948-12-20 00:00:00 | depaul | 89-51 | win | champaign, il | 6013 row 7 : 1948-12-21 00:00:00 | cornell | 71-47 | win | champaign, il | 3042 row 8 : 1948-12-29 00:00:00 | colgate | 77-54 | win | champaign, il | 4541 row 9 : 1948-12-30 00:00:00 | colgate | 85-55 | win | champaign, il | 3880 row 10 : 1949-01-03 00:00:00 | wisconsin | 62-50 | win | champaign, il | none row 11 : 1949-01-08 00:00:00 | indiana | 44-42 | win (2ot) | bloomington, in | 10000 row 12 : 1949-01-10 00:00:00 | ohio state | 64-63 | win | columbus, oh | 6958 row 13 : 1949-01-15 00:00:00 | creighton | 96-30 | win | champaign, il | 6958 row 14 : 1949-01-29 00:00:00 | minnesota (ranked #4) | 45-44 | win | champaign, il | 6905 row 15 : 1949-01-31 00:00:00 | purdue | 53-55 | loss | west lafayette, in | 10000 row 16 : 1949-02-05 00:00:00 | wisconsin | 61-54 | win | madison, wi | 13,5000 row 17 : 1949-02-07 00:00:00 | northwestern | 85-66 | win | champaign, il | none row 18 : 1949-02-12 00:00:00 | ohio state | 64-49 | win | champaign, il | 6905 row 19 : 1949-02-21 00:00:00 | iowa | 80-49 | win | champaign, il | none row 20 : 1949-02-26 00:00:00 | northwestern | 81-64 | win | chicago, il | 17905 row 21 : 1949-02-28 00:00:00 | indiana | 91-28 | win | champaign, il | none row 22 : 1949-03-07 00:00:00 | michigan | 53-70 | loss | ann arbor, mi | none | col : count ( "*" ) row 1 : 1 | select count ( * ) where date = 'january 3, 1949' <table_name> : table \begin{tabular}{lllllll}
\toprule
& date & opponent & score & result & location & attendance \\
\midrule
0 & 1948-12-03 00:00:00 & butler & 67-62 & win & champaign, il & none \\
1 & 1948-12-08 00:00:00 & notre dame & 59-58 & win (ot) & notre dame, in & none \\
2 & 1948-12-11 00:00:00 & depaul & 50-60 & loss & chicago, il & 17189 \\
3 & 1948-12-13 00:00:00 & oklahoma & 73-68 & win & champaign, il & 6902 \\
4 & 1948-12-18 00:00:00 & pennsylvania & 80-61 & win & champaign, il & 3943 \\
5 & 1948-12-20 00:00:00 & depaul & 89-51 & win & champaign, il & 6013 \\
6 & 1948-12-21 00:00:00 & cornell & 71-47 & win & champaign, il & 3042 \\
7 & 1948-12-29 00:00:00 & colgate & 77-54 & win & champaign, il & 4541 \\
8 & 1948-12-30 00:00:00 & colgate & 85-55 & win & champaign, il & 3880 \\
9 & 1949-01-03 00:00:00 & wisconsin & 62-50 & win & champaign, il & none \\
10 & 1949-01-08 00:00:00 & indiana & 44-42 & win (2ot) & bloomington, in & 10000 \\
11 & 1949-01-10 00:00:00 & ohio state & 64-63 & win & columbus, oh & 6958 \\
12 & 1949-01-15 00:00:00 & creighton & 96-30 & win & champaign, il & 6958 \\
13 & 1949-01-29 00:00:00 & minnesota (ranked #4) & 45-44 & win & champaign, il & 6905 \\
14 & 1949-01-31 00:00:00 & purdue & 53-55 & loss & west lafayette, in & 10000 \\
15 & 1949-02-05 00:00:00 & wisconsin & 61-54 & win & madison, wi & 13,5000 \\
16 & 1949-02-07 00:00:00 & northwestern & 85-66 & win & champaign, il & none \\
17 & 1949-02-12 00:00:00 & ohio state & 64-49 & win & champaign, il & 6905 \\
18 & 1949-02-21 00:00:00 & iowa & 80-49 & win & champaign, il & none \\
19 & 1949-02-26 00:00:00 & northwestern & 81-64 & win & chicago, il & 17905 \\
20 & 1949-02-28 00:00:00 & indiana & 91-28 & win & champaign, il & none \\
21 & 1949-03-07 00:00:00 & michigan & 53-70 & loss & ann arbor, mi & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( * ) where date = 'january 3, 1949' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>date</th>
<th>opponent</th>
<th>score</th>
<th>result</th>
<th>location</th>
<th>attendance</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1948-12-03 00:00:00</td>
<td>butler</td>
<td>67-62</td>
<td>win</td>
<td>champaign, il</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>1948-12-08 00:00:00</td>
<td>notre dame</td>
<td>59-58</td>
<td>win (ot)</td>
<td>notre dame, in</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>1948-12-11 00:00:00</td>
<td>depaul</td>
<td>50-60</td>
<td>loss</td>
<td>chicago, il</td>
<td>17189</td>
</tr>
<tr>
<th>3</th>
<td>1948-12-13 00:00:00</td>
<td>oklahoma</td>
<td>73-68</td>
<td>win</td>
<td>champaign, il</td>
<td>6902</td>
</tr>
<tr>
<th>4</th>
<td>1948-12-18 00:00:00</td>
<td>pennsylvania</td>
<td>80-61</td>
<td>win</td>
<td>champaign, il</td>
<td>3943</td>
</tr>
<tr>
<th>5</th>
<td>1948-12-20 00:00:00</td>
<td>depaul</td>
<td>89-51</td>
<td>win</td>
<td>champaign, il</td>
<td>6013</td>
</tr>
<tr>
<th>6</th>
<td>1948-12-21 00:00:00</td>
<td>cornell</td>
<td>71-47</td>
<td>win</td>
<td>champaign, il</td>
<td>3042</td>
</tr>
<tr>
<th>7</th>
<td>1948-12-29 00:00:00</td>
<td>colgate</td>
<td>77-54</td>
<td>win</td>
<td>champaign, il</td>
<td>4541</td>
</tr>
<tr>
<th>8</th>
<td>1948-12-30 00:00:00</td>
<td>colgate</td>
<td>85-55</td>
<td>win</td>
<td>champaign, il</td>
<td>3880</td>
</tr>
<tr>
<th>9</th>
<td>1949-01-03 00:00:00</td>
<td>wisconsin</td>
<td>62-50</td>
<td>win</td>
<td>champaign, il</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>1949-01-08 00:00:00</td>
<td>indiana</td>
<td>44-42</td>
<td>win (2ot)</td>
<td>bloomington, in</td>
<td>10000</td>
</tr>
<tr>
<th>11</th>
<td>1949-01-10 00:00:00</td>
<td>ohio state</td>
<td>64-63</td>
<td>win</td>
<td>columbus, oh</td>
<td>6958</td>
</tr>
<tr>
<th>12</th>
<td>1949-01-15 00:00:00</td>
<td>creighton</td>
<td>96-30</td>
<td>win</td>
<td>champaign, il</td>
<td>6958</td>
</tr>
<tr>
<th>13</th>
<td>1949-01-29 00:00:00</td>
<td>minnesota (ranked #4)</td>
<td>45-44</td>
<td>win</td>
<td>champaign, il</td>
<td>6905</td>
</tr>
<tr>
<th>14</th>
<td>1949-01-31 00:00:00</td>
<td>purdue</td>
<td>53-55</td>
<td>loss</td>
<td>west lafayette, in</td>
<td>10000</td>
</tr>
<tr>
<th>15</th>
<td>1949-02-05 00:00:00</td>
<td>wisconsin</td>
<td>61-54</td>
<td>win</td>
<td>madison, wi</td>
<td>13,5000</td>
</tr>
<tr>
<th>16</th>
<td>1949-02-07 00:00:00</td>
<td>northwestern</td>
<td>85-66</td>
<td>win</td>
<td>champaign, il</td>
<td>none</td>
</tr>
<tr>
<th>17</th>
<td>1949-02-12 00:00:00</td>
<td>ohio state</td>
<td>64-49</td>
<td>win</td>
<td>champaign, il</td>
<td>6905</td>
</tr>
<tr>
<th>18</th>
<td>1949-02-21 00:00:00</td>
<td>iowa</td>
<td>80-49</td>
<td>win</td>
<td>champaign, il</td>
<td>none</td>
</tr>
<tr>
<th>19</th>
<td>1949-02-26 00:00:00</td>
<td>northwestern</td>
<td>81-64</td>
<td>win</td>
<td>chicago, il</td>
<td>17905</td>
</tr>
<tr>
<th>20</th>
<td>1949-02-28 00:00:00</td>
<td>indiana</td>
<td>91-28</td>
<td>win</td>
<td>champaign, il</td>
<td>none</td>
</tr>
<tr>
<th>21</th>
<td>1949-03-07 00:00:00</td>
<td>michigan</td>
<td>53-70</td>
<td>loss</td>
<td>ann arbor, mi</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 date = 'january 3, 1949' <table_name> : table | | date | opponent | score | result | location | attendance |
|---:|:--------------------|:----------------------|:--------|:----------|:-------------------|:-------------|
| 0 | 1948-12-03 00:00:00 | butler | 67-62 | win | champaign, il | none |
| 1 | 1948-12-08 00:00:00 | notre dame | 59-58 | win (ot) | notre dame, in | none |
| 2 | 1948-12-11 00:00:00 | depaul | 50-60 | loss | chicago, il | 17189 |
| 3 | 1948-12-13 00:00:00 | oklahoma | 73-68 | win | champaign, il | 6902 |
| 4 | 1948-12-18 00:00:00 | pennsylvania | 80-61 | win | champaign, il | 3943 |
| 5 | 1948-12-20 00:00:00 | depaul | 89-51 | win | champaign, il | 6013 |
| 6 | 1948-12-21 00:00:00 | cornell | 71-47 | win | champaign, il | 3042 |
| 7 | 1948-12-29 00:00:00 | colgate | 77-54 | win | champaign, il | 4541 |
| 8 | 1948-12-30 00:00:00 | colgate | 85-55 | win | champaign, il | 3880 |
| 9 | 1949-01-03 00:00:00 | wisconsin | 62-50 | win | champaign, il | none |
| 10 | 1949-01-08 00:00:00 | indiana | 44-42 | win (2ot) | bloomington, in | 10000 |
| 11 | 1949-01-10 00:00:00 | ohio state | 64-63 | win | columbus, oh | 6958 |
| 12 | 1949-01-15 00:00:00 | creighton | 96-30 | win | champaign, il | 6958 |
| 13 | 1949-01-29 00:00:00 | minnesota (ranked #4) | 45-44 | win | champaign, il | 6905 |
| 14 | 1949-01-31 00:00:00 | purdue | 53-55 | loss | west lafayette, in | 10000 |
| 15 | 1949-02-05 00:00:00 | wisconsin | 61-54 | win | madison, wi | 13,5000 |
| 16 | 1949-02-07 00:00:00 | northwestern | 85-66 | win | champaign, il | none |
| 17 | 1949-02-12 00:00:00 | ohio state | 64-49 | win | champaign, il | 6905 |
| 18 | 1949-02-21 00:00:00 | iowa | 80-49 | win | champaign, il | none |
| 19 | 1949-02-26 00:00:00 | northwestern | 81-64 | win | chicago, il | 17905 |
| 20 | 1949-02-28 00:00:00 | indiana | 91-28 | win | champaign, il | none |
| 21 | 1949-03-07 00:00:00 | michigan | 53-70 | loss | ann arbor, mi | none | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 1 | | [
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select count ( * ) where name of mill and grid reference = '1854' col : location | name of mill and grid reference | type | maps | first mention or built | last mention or demise row 1 : chesfield | none | post | none | 1318 | 1372 row 2 : chesfield | chesfield park | titt iron wind engine | none | 1896 | none row 3 : cheshunt | tl 317 036 | post | none | 1843 | demolished c. 1860 row 4 : cheshunt | goff's oak mill tl 317 036 | tower | none | c. 1860 | demolished 1953 row 5 : cheshunt | turner's hill mill tl 363 023 | none | 1822 | 1822 | 1861 row 6 : chipperfield | tl 037 014 | post | none | 1594 | 1594 row 7 : chipperfield | tl 037 014 | smock | 1822 | 1822 | 1881, gone by 1896 row 8 : chipping | approximately tl 350 319 | post | 1720 1728 | 1720 | 1728 row 9 : clothall | approximately tl 264 326 | post | none | 1370 | 1370 row 10 : codicote | codicote heath approximately tl 206 185 | smock | none | 1841 | 1855, gone by 1881 row 11 : colney heath | colney heath mill tl 205 055 | tower | none | 1854 | windmill world row 12 : cottered | none | post | none | 1581 | 1581 row 13 : cromer | none | none | none | 1192 | 1576 row 14 : cromer | cromer mill tl 304 286 | post | 1720 1728 1749 1766 1800 1822 | 1720 | windmill world row 15 : croxley green | croxley green mill tq 067 953 | tower | none | c. 1860 | windmill world | col : count ( "*" ) row 1 : 0 | select count ( * ) where name of mill and grid reference = '1854' <table_name> : table \begin{tabular}{lllllll}
\toprule
& location & name of mill and grid reference & type & maps & first mention or built & last mention or demise \\
\midrule
0 & chesfield & none & post & none & 1318 & 1372 \\
1 & chesfield & chesfield park & titt iron wind engine & none & 1896 & none \\
2 & cheshunt & tl 317 036 & post & none & 1843 & demolished c. 1860 \\
3 & cheshunt & goff's oak mill tl 317 036 & tower & none & c. 1860 & demolished 1953 \\
4 & cheshunt & turner's hill mill tl 363 023 & none & 1822 & 1822 & 1861 \\
5 & chipperfield & tl 037 014 & post & none & 1594 & 1594 \\
6 & chipperfield & tl 037 014 & smock & 1822 & 1822 & 1881, gone by 1896 \\
7 & chipping & approximately tl 350 319 & post & 1720 1728 & 1720 & 1728 \\
8 & clothall & approximately tl 264 326 & post & none & 1370 & 1370 \\
9 & codicote & codicote heath approximately tl 206 185 & smock & none & 1841 & 1855, gone by 1881 \\
10 & colney heath & colney heath mill tl 205 055 & tower & none & 1854 & windmill world \\
11 & cottered & none & post & none & 1581 & 1581 \\
12 & cromer & none & none & none & 1192 & 1576 \\
13 & cromer & cromer mill tl 304 286 & post & 1720 1728 1749 1766 1800 1822 & 1720 & windmill world \\
14 & croxley green & croxley green mill tq 067 953 & tower & none & c. 1860 & windmill world \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( * ) where name of mill and grid reference = '1854' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>location</th>
<th>name of mill and grid reference</th>
<th>type</th>
<th>maps</th>
<th>first mention or built</th>
<th>last mention or demise</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>chesfield</td>
<td>none</td>
<td>post</td>
<td>none</td>
<td>1318</td>
<td>1372</td>
</tr>
<tr>
<th>1</th>
<td>chesfield</td>
<td>chesfield park</td>
<td>titt iron wind engine</td>
<td>none</td>
<td>1896</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>cheshunt</td>
<td>tl 317 036</td>
<td>post</td>
<td>none</td>
<td>1843</td>
<td>demolished c. 1860</td>
</tr>
<tr>
<th>3</th>
<td>cheshunt</td>
<td>goff's oak mill tl 317 036</td>
<td>tower</td>
<td>none</td>
<td>c. 1860</td>
<td>demolished 1953</td>
</tr>
<tr>
<th>4</th>
<td>cheshunt</td>
<td>turner's hill mill tl 363 023</td>
<td>none</td>
<td>1822</td>
<td>1822</td>
<td>1861</td>
</tr>
<tr>
<th>5</th>
<td>chipperfield</td>
<td>tl 037 014</td>
<td>post</td>
<td>none</td>
<td>1594</td>
<td>1594</td>
</tr>
<tr>
<th>6</th>
<td>chipperfield</td>
<td>tl 037 014</td>
<td>smock</td>
<td>1822</td>
<td>1822</td>
<td>1881, gone by 1896</td>
</tr>
<tr>
<th>7</th>
<td>chipping</td>
<td>approximately tl 350 319</td>
<td>post</td>
<td>1720 1728</td>
<td>1720</td>
<td>1728</td>
</tr>
<tr>
<th>8</th>
<td>clothall</td>
<td>approximately tl 264 326</td>
<td>post</td>
<td>none</td>
<td>1370</td>
<td>1370</td>
</tr>
<tr>
<th>9</th>
<td>codicote</td>
<td>codicote heath approximately tl 206 185</td>
<td>smock</td>
<td>none</td>
<td>1841</td>
<td>1855, gone by 1881</td>
</tr>
<tr>
<th>10</th>
<td>colney heath</td>
<td>colney heath mill tl 205 055</td>
<td>tower</td>
<td>none</td>
<td>1854</td>
<td>windmill world</td>
</tr>
<tr>
<th>11</th>
<td>cottered</td>
<td>none</td>
<td>post</td>
<td>none</td>
<td>1581</td>
<td>1581</td>
</tr>
<tr>
<th>12</th>
<td>cromer</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>1192</td>
<td>1576</td>
</tr>
<tr>
<th>13</th>
<td>cromer</td>
<td>cromer mill tl 304 286</td>
<td>post</td>
<td>1720 1728 1749 1766 1800 1822</td>
<td>1720</td>
<td>windmill world</td>
</tr>
<tr>
<th>14</th>
<td>croxley green</td>
<td>croxley green mill tq 067 953</td>
<td>tower</td>
<td>none</td>
<td>c. 1860</td>
<td>windmill world</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 name of mill and grid reference = '1854' <table_name> : table | | location | name of mill and grid reference | type | maps | first mention or built | last mention or demise |
|---:|:--------------|:----------------------------------------|:----------------------|:------------------------------|:-------------------------|:-------------------------|
| 0 | chesfield | none | post | none | 1318 | 1372 |
| 1 | chesfield | chesfield park | titt iron wind engine | none | 1896 | none |
| 2 | cheshunt | tl 317 036 | post | none | 1843 | demolished c. 1860 |
| 3 | cheshunt | goff's oak mill tl 317 036 | tower | none | c. 1860 | demolished 1953 |
| 4 | cheshunt | turner's hill mill tl 363 023 | none | 1822 | 1822 | 1861 |
| 5 | chipperfield | tl 037 014 | post | none | 1594 | 1594 |
| 6 | chipperfield | tl 037 014 | smock | 1822 | 1822 | 1881, gone by 1896 |
| 7 | chipping | approximately tl 350 319 | post | 1720 1728 | 1720 | 1728 |
| 8 | clothall | approximately tl 264 326 | post | none | 1370 | 1370 |
| 9 | codicote | codicote heath approximately tl 206 185 | smock | none | 1841 | 1855, gone by 1881 |
| 10 | colney heath | colney heath mill tl 205 055 | tower | none | 1854 | windmill world |
| 11 | cottered | none | post | none | 1581 | 1581 |
| 12 | cromer | none | none | none | 1192 | 1576 |
| 13 | cromer | cromer mill tl 304 286 | post | 1720 1728 1749 1766 1800 1822 | 1720 | windmill world |
| 14 | croxley green | croxley green mill tq 067 953 | tower | none | c. 1860 | windmill world | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 0 | | [
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select count ( name ) where area (km2) = '2.9' 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 : count ( "name" ) row 1 : 1 | select count ( name ) where area (km2) = '2.9' <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
& count ( "name" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( name ) where area (km2) = '2.9' <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>count ( "name" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( name ) where area (km2) = '2.9' <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 | | | | count ( "name" ) |
|---:|-------------------:|
| 0 | 1 | | [
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select count ( chassis ) where tires = 'firestone' col : team | chassis | engine | tires | no | drivers row 1 : chip ganassi racing | reynard 98i | honda | firestone | 1 | alex zanardi row 2 : chip ganassi racing | reynard 98i | honda | firestone | 12 | jimmy vasser row 3 : marlboro team penske | penske pc27-98 | mercedes | goodyear | 2 | al unser, jr row 4 : marlboro team penske | penske pc27-98 | mercedes | goodyear | 3 | andre ribeiro row 5 : walker racing | reynard 98i | honda | goodyear | 5 | gil de ferran row 6 : newman-haas racing | swift 009.c | ford xb | goodyear | 6 | michael andretti row 7 : newman-haas racing | swift 009.c | ford xb | goodyear | 11 | christian fittipaldi roberto moreno row 8 : team rahal | reynard 98i | ford xb | firestone | 7 | bobby rahal row 9 : team rahal | reynard 98i | ford xb | firestone | 8 | bryan herta row 10 : hogan racing | reynard 98i | mercedes | firestone | 9 | jj lehto row 11 : della penna motorsports | swift 009.c | ford xb | firestone | 10 | richie hearn row 12 : della penna motorsports | swift 009.c | ford xb | firestone | 43 | hideshi matsuda row 13 : project indy | reynard 97i | ford xb | goodyear | 15 | roberto moreno domenico schiattarella row 14 : bettenhausen racing | reynard 98i | mercedes | goodyear | 16 | helio castroneves row 15 : pacwest racing group | reynard 98i | mercedes | firestone | 17 | mauricio gugelmin row 16 : pacwest racing group | reynard 98i | mercedes | firestone | 18 | mark blundell row 17 : payton/coyne racing | reynard 98i | ford xb | firestone | 19 | michel jourdain, jr row 18 : payton/coyne racing | reynard 98i | ford xb | firestone | 34 | dennis vitolo gualter salles row 19 : patrick racing | reynard 98i | ford xb | firestone | 20 | scott pruett row 20 : patrick racing | reynard 98i | ford xb | firestone | 40 | adrian fernandez row 21 : tasman motorsports group | reynard 98i | honda | firestone | 21 | tony kanaan row 22 : arciero-wells racing | reynard 98i | toyota | firestone | 24 | hiro matsushita robby gordon row 23 : arciero-wells racing | reynard 98i | toyota | firestone | 25 | max papis row 24 : team kool green | reynard 98i | honda | firestone | 26 | paul tracy row 25 : team kool green | reynard 98i | honda | firestone | 27 | dario franchitti row 26 : forsythe racing | reynard 98i | mercedes | firestone | 33 | patrick carpentier row 27 : forsythe racing | reynard 98i | mercedes | firestone | 99 | greg moore row 28 : all american racing | reynard 98i eagle 987 | toyota | goodyear | 36 | alex barron row 29 : all american racing | reynard 98i eagle 987 | toyota | goodyear | 98 | p. j. jones vincenzo sospiri row 30 : davis racing | lola t98/00 | ford xb | goodyear | 77 | arnd meier | col : count ( "chassis" ) row 1 : 20 | select count ( chassis ) where tires = 'firestone' <table_name> : table \begin{tabular}{lllllll}
\toprule
& team & chassis & engine & tires & no & drivers \\
\midrule
0 & chip ganassi racing & reynard 98i & honda & firestone & 1 & alex zanardi \\
1 & chip ganassi racing & reynard 98i & honda & firestone & 12 & jimmy vasser \\
2 & marlboro team penske & penske pc27-98 & mercedes & goodyear & 2 & al unser, jr \\
3 & marlboro team penske & penske pc27-98 & mercedes & goodyear & 3 & andre ribeiro \\
4 & walker racing & reynard 98i & honda & goodyear & 5 & gil de ferran \\
5 & newman-haas racing & swift 009.c & ford xb & goodyear & 6 & michael andretti \\
6 & newman-haas racing & swift 009.c & ford xb & goodyear & 11 & christian fittipaldi roberto moreno \\
7 & team rahal & reynard 98i & ford xb & firestone & 7 & bobby rahal \\
8 & team rahal & reynard 98i & ford xb & firestone & 8 & bryan herta \\
9 & hogan racing & reynard 98i & mercedes & firestone & 9 & jj lehto \\
10 & della penna motorsports & swift 009.c & ford xb & firestone & 10 & richie hearn \\
11 & della penna motorsports & swift 009.c & ford xb & firestone & 43 & hideshi matsuda \\
12 & project indy & reynard 97i & ford xb & goodyear & 15 & roberto moreno domenico schiattarella \\
13 & bettenhausen racing & reynard 98i & mercedes & goodyear & 16 & helio castroneves \\
14 & pacwest racing group & reynard 98i & mercedes & firestone & 17 & mauricio gugelmin \\
15 & pacwest racing group & reynard 98i & mercedes & firestone & 18 & mark blundell \\
16 & payton/coyne racing & reynard 98i & ford xb & firestone & 19 & michel jourdain, jr \\
17 & payton/coyne racing & reynard 98i & ford xb & firestone & 34 & dennis vitolo gualter salles \\
18 & patrick racing & reynard 98i & ford xb & firestone & 20 & scott pruett \\
19 & patrick racing & reynard 98i & ford xb & firestone & 40 & adrian fernandez \\
20 & tasman motorsports group & reynard 98i & honda & firestone & 21 & tony kanaan \\
21 & arciero-wells racing & reynard 98i & toyota & firestone & 24 & hiro matsushita robby gordon \\
22 & arciero-wells racing & reynard 98i & toyota & firestone & 25 & max papis \\
23 & team kool green & reynard 98i & honda & firestone & 26 & paul tracy \\
24 & team kool green & reynard 98i & honda & firestone & 27 & dario franchitti \\
25 & forsythe racing & reynard 98i & mercedes & firestone & 33 & patrick carpentier \\
26 & forsythe racing & reynard 98i & mercedes & firestone & 99 & greg moore \\
27 & all american racing & reynard 98i eagle 987 & toyota & goodyear & 36 & alex barron \\
28 & all american racing & reynard 98i eagle 987 & toyota & goodyear & 98 & p. j. jones vincenzo sospiri \\
29 & davis racing & lola t98/00 & ford xb & goodyear & 77 & arnd meier \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "chassis" ) \\
\midrule
0 & 20 \\
\bottomrule
\end{tabular}
| select count ( chassis ) where tires = 'firestone' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>team</th>
<th>chassis</th>
<th>engine</th>
<th>tires</th>
<th>no</th>
<th>drivers</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>chip ganassi racing</td>
<td>reynard 98i</td>
<td>honda</td>
<td>firestone</td>
<td>1</td>
<td>alex zanardi</td>
</tr>
<tr>
<th>1</th>
<td>chip ganassi racing</td>
<td>reynard 98i</td>
<td>honda</td>
<td>firestone</td>
<td>12</td>
<td>jimmy vasser</td>
</tr>
<tr>
<th>2</th>
<td>marlboro team penske</td>
<td>penske pc27-98</td>
<td>mercedes</td>
<td>goodyear</td>
<td>2</td>
<td>al unser, jr</td>
</tr>
<tr>
<th>3</th>
<td>marlboro team penske</td>
<td>penske pc27-98</td>
<td>mercedes</td>
<td>goodyear</td>
<td>3</td>
<td>andre ribeiro</td>
</tr>
<tr>
<th>4</th>
<td>walker racing</td>
<td>reynard 98i</td>
<td>honda</td>
<td>goodyear</td>
<td>5</td>
<td>gil de ferran</td>
</tr>
<tr>
<th>5</th>
<td>newman-haas racing</td>
<td>swift 009.c</td>
<td>ford xb</td>
<td>goodyear</td>
<td>6</td>
<td>michael andretti</td>
</tr>
<tr>
<th>6</th>
<td>newman-haas racing</td>
<td>swift 009.c</td>
<td>ford xb</td>
<td>goodyear</td>
<td>11</td>
<td>christian fittipaldi roberto moreno</td>
</tr>
<tr>
<th>7</th>
<td>team rahal</td>
<td>reynard 98i</td>
<td>ford xb</td>
<td>firestone</td>
<td>7</td>
<td>bobby rahal</td>
</tr>
<tr>
<th>8</th>
<td>team rahal</td>
<td>reynard 98i</td>
<td>ford xb</td>
<td>firestone</td>
<td>8</td>
<td>bryan herta</td>
</tr>
<tr>
<th>9</th>
<td>hogan racing</td>
<td>reynard 98i</td>
<td>mercedes</td>
<td>firestone</td>
<td>9</td>
<td>jj lehto</td>
</tr>
<tr>
<th>10</th>
<td>della penna motorsports</td>
<td>swift 009.c</td>
<td>ford xb</td>
<td>firestone</td>
<td>10</td>
<td>richie hearn</td>
</tr>
<tr>
<th>11</th>
<td>della penna motorsports</td>
<td>swift 009.c</td>
<td>ford xb</td>
<td>firestone</td>
<td>43</td>
<td>hideshi matsuda</td>
</tr>
<tr>
<th>12</th>
<td>project indy</td>
<td>reynard 97i</td>
<td>ford xb</td>
<td>goodyear</td>
<td>15</td>
<td>roberto moreno domenico schiattarella</td>
</tr>
<tr>
<th>13</th>
<td>bettenhausen racing</td>
<td>reynard 98i</td>
<td>mercedes</td>
<td>goodyear</td>
<td>16</td>
<td>helio castroneves</td>
</tr>
<tr>
<th>14</th>
<td>pacwest racing group</td>
<td>reynard 98i</td>
<td>mercedes</td>
<td>firestone</td>
<td>17</td>
<td>mauricio gugelmin</td>
</tr>
<tr>
<th>15</th>
<td>pacwest racing group</td>
<td>reynard 98i</td>
<td>mercedes</td>
<td>firestone</td>
<td>18</td>
<td>mark blundell</td>
</tr>
<tr>
<th>16</th>
<td>payton/coyne racing</td>
<td>reynard 98i</td>
<td>ford xb</td>
<td>firestone</td>
<td>19</td>
<td>michel jourdain, jr</td>
</tr>
<tr>
<th>17</th>
<td>payton/coyne racing</td>
<td>reynard 98i</td>
<td>ford xb</td>
<td>firestone</td>
<td>34</td>
<td>dennis vitolo gualter salles</td>
</tr>
<tr>
<th>18</th>
<td>patrick racing</td>
<td>reynard 98i</td>
<td>ford xb</td>
<td>firestone</td>
<td>20</td>
<td>scott pruett</td>
</tr>
<tr>
<th>19</th>
<td>patrick racing</td>
<td>reynard 98i</td>
<td>ford xb</td>
<td>firestone</td>
<td>40</td>
<td>adrian fernandez</td>
</tr>
<tr>
<th>20</th>
<td>tasman motorsports group</td>
<td>reynard 98i</td>
<td>honda</td>
<td>firestone</td>
<td>21</td>
<td>tony kanaan</td>
</tr>
<tr>
<th>21</th>
<td>arciero-wells racing</td>
<td>reynard 98i</td>
<td>toyota</td>
<td>firestone</td>
<td>24</td>
<td>hiro matsushita robby gordon</td>
</tr>
<tr>
<th>22</th>
<td>arciero-wells racing</td>
<td>reynard 98i</td>
<td>toyota</td>
<td>firestone</td>
<td>25</td>
<td>max papis</td>
</tr>
<tr>
<th>23</th>
<td>team kool green</td>
<td>reynard 98i</td>
<td>honda</td>
<td>firestone</td>
<td>26</td>
<td>paul tracy</td>
</tr>
<tr>
<th>24</th>
<td>team kool green</td>
<td>reynard 98i</td>
<td>honda</td>
<td>firestone</td>
<td>27</td>
<td>dario franchitti</td>
</tr>
<tr>
<th>25</th>
<td>forsythe racing</td>
<td>reynard 98i</td>
<td>mercedes</td>
<td>firestone</td>
<td>33</td>
<td>patrick carpentier</td>
</tr>
<tr>
<th>26</th>
<td>forsythe racing</td>
<td>reynard 98i</td>
<td>mercedes</td>
<td>firestone</td>
<td>99</td>
<td>greg moore</td>
</tr>
<tr>
<th>27</th>
<td>all american racing</td>
<td>reynard 98i eagle 987</td>
<td>toyota</td>
<td>goodyear</td>
<td>36</td>
<td>alex barron</td>
</tr>
<tr>
<th>28</th>
<td>all american racing</td>
<td>reynard 98i eagle 987</td>
<td>toyota</td>
<td>goodyear</td>
<td>98</td>
<td>p. j. jones vincenzo sospiri</td>
</tr>
<tr>
<th>29</th>
<td>davis racing</td>
<td>lola t98/00</td>
<td>ford xb</td>
<td>goodyear</td>
<td>77</td>
<td>arnd meier</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "chassis" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>20</td>
</tr>
</tbody>
</table> | select count ( chassis ) where tires = 'firestone' <table_name> : table | | team | chassis | engine | tires | no | drivers |
|---:|:-------------------------|:----------------------|:---------|:----------|-----:|:--------------------------------------|
| 0 | chip ganassi racing | reynard 98i | honda | firestone | 1 | alex zanardi |
| 1 | chip ganassi racing | reynard 98i | honda | firestone | 12 | jimmy vasser |
| 2 | marlboro team penske | penske pc27-98 | mercedes | goodyear | 2 | al unser, jr |
| 3 | marlboro team penske | penske pc27-98 | mercedes | goodyear | 3 | andre ribeiro |
| 4 | walker racing | reynard 98i | honda | goodyear | 5 | gil de ferran |
| 5 | newman-haas racing | swift 009.c | ford xb | goodyear | 6 | michael andretti |
| 6 | newman-haas racing | swift 009.c | ford xb | goodyear | 11 | christian fittipaldi roberto moreno |
| 7 | team rahal | reynard 98i | ford xb | firestone | 7 | bobby rahal |
| 8 | team rahal | reynard 98i | ford xb | firestone | 8 | bryan herta |
| 9 | hogan racing | reynard 98i | mercedes | firestone | 9 | jj lehto |
| 10 | della penna motorsports | swift 009.c | ford xb | firestone | 10 | richie hearn |
| 11 | della penna motorsports | swift 009.c | ford xb | firestone | 43 | hideshi matsuda |
| 12 | project indy | reynard 97i | ford xb | goodyear | 15 | roberto moreno domenico schiattarella |
| 13 | bettenhausen racing | reynard 98i | mercedes | goodyear | 16 | helio castroneves |
| 14 | pacwest racing group | reynard 98i | mercedes | firestone | 17 | mauricio gugelmin |
| 15 | pacwest racing group | reynard 98i | mercedes | firestone | 18 | mark blundell |
| 16 | payton/coyne racing | reynard 98i | ford xb | firestone | 19 | michel jourdain, jr |
| 17 | payton/coyne racing | reynard 98i | ford xb | firestone | 34 | dennis vitolo gualter salles |
| 18 | patrick racing | reynard 98i | ford xb | firestone | 20 | scott pruett |
| 19 | patrick racing | reynard 98i | ford xb | firestone | 40 | adrian fernandez |
| 20 | tasman motorsports group | reynard 98i | honda | firestone | 21 | tony kanaan |
| 21 | arciero-wells racing | reynard 98i | toyota | firestone | 24 | hiro matsushita robby gordon |
| 22 | arciero-wells racing | reynard 98i | toyota | firestone | 25 | max papis |
| 23 | team kool green | reynard 98i | honda | firestone | 26 | paul tracy |
| 24 | team kool green | reynard 98i | honda | firestone | 27 | dario franchitti |
| 25 | forsythe racing | reynard 98i | mercedes | firestone | 33 | patrick carpentier |
| 26 | forsythe racing | reynard 98i | mercedes | firestone | 99 | greg moore |
| 27 | all american racing | reynard 98i eagle 987 | toyota | goodyear | 36 | alex barron |
| 28 | all american racing | reynard 98i eagle 987 | toyota | goodyear | 98 | p. j. jones vincenzo sospiri |
| 29 | davis racing | lola t98/00 | ford xb | goodyear | 77 | arnd meier | | | | count ( "chassis" ) |
|---:|----------------------:|
| 0 | 20 | | [
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] |
select population where city = 'casale monferrato' col : rank | city | population | area (km2) | density (inhabitants/km2) | altitude (mslm) row 1 : 1st | alessandria | 94191 | 203.97 | 461.8 | 95 row 2 : 2nd | casale monferrato | 36039 | 86.32 | 417.5 | 116 row 3 : 3rd | novi ligure | 28581 | 54.22 | 527.1 | 197 row 4 : 4th | tortona | 27476 | 99.29 | 276.7 | 122 row 5 : 5th | acqui terme | 20426 | 33.42 | 611.2 | 156 row 6 : 6th | valenza | 20282 | 50.05 | 405.2 | 125 row 7 : 7th | ovada | 11912 | 35.33 | 337.2 | 186 row 8 : 8th | serravalle scrivia | 6445 | 16.02 | 402.3 | 225 row 9 : 9th | arquata scrivia | 6260 | 30.36 | 206.2 | 248 row 10 : 10th | castelnuovo scrivia | 5473 | 45.42 | 120.5 | 85 | col : population row 1 : 36039 | select population where city = 'casale monferrato' <table_name> : table \begin{tabular}{lllllll}
\toprule
& rank & city & population & area (km2) & density (inhabitants/km2) & altitude (mslm) \\
\midrule
0 & 1st & alessandria & 94191 & 203.97 & 461.8 & 95 \\
1 & 2nd & casale monferrato & 36039 & 86.32 & 417.5 & 116 \\
2 & 3rd & novi ligure & 28581 & 54.22 & 527.1 & 197 \\
3 & 4th & tortona & 27476 & 99.29 & 276.7 & 122 \\
4 & 5th & acqui terme & 20426 & 33.42 & 611.2 & 156 \\
5 & 6th & valenza & 20282 & 50.05 & 405.2 & 125 \\
6 & 7th & ovada & 11912 & 35.33 & 337.2 & 186 \\
7 & 8th & serravalle scrivia & 6445 & 16.02 & 402.3 & 225 \\
8 & 9th & arquata scrivia & 6260 & 30.36 & 206.2 & 248 \\
9 & 10th & castelnuovo scrivia & 5473 & 45.42 & 120.5 & 85 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& population \\
\midrule
0 & 36039 \\
\bottomrule
\end{tabular}
| select population where city = 'casale monferrato' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>city</th>
<th>population</th>
<th>area (km2)</th>
<th>density (inhabitants/km2)</th>
<th>altitude (mslm)</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1st</td>
<td>alessandria</td>
<td>94191</td>
<td>203.97</td>
<td>461.8</td>
<td>95</td>
</tr>
<tr>
<th>1</th>
<td>2nd</td>
<td>casale monferrato</td>
<td>36039</td>
<td>86.32</td>
<td>417.5</td>
<td>116</td>
</tr>
<tr>
<th>2</th>
<td>3rd</td>
<td>novi ligure</td>
<td>28581</td>
<td>54.22</td>
<td>527.1</td>
<td>197</td>
</tr>
<tr>
<th>3</th>
<td>4th</td>
<td>tortona</td>
<td>27476</td>
<td>99.29</td>
<td>276.7</td>
<td>122</td>
</tr>
<tr>
<th>4</th>
<td>5th</td>
<td>acqui terme</td>
<td>20426</td>
<td>33.42</td>
<td>611.2</td>
<td>156</td>
</tr>
<tr>
<th>5</th>
<td>6th</td>
<td>valenza</td>
<td>20282</td>
<td>50.05</td>
<td>405.2</td>
<td>125</td>
</tr>
<tr>
<th>6</th>
<td>7th</td>
<td>ovada</td>
<td>11912</td>
<td>35.33</td>
<td>337.2</td>
<td>186</td>
</tr>
<tr>
<th>7</th>
<td>8th</td>
<td>serravalle scrivia</td>
<td>6445</td>
<td>16.02</td>
<td>402.3</td>
<td>225</td>
</tr>
<tr>
<th>8</th>
<td>9th</td>
<td>arquata scrivia</td>
<td>6260</td>
<td>30.36</td>
<td>206.2</td>
<td>248</td>
</tr>
<tr>
<th>9</th>
<td>10th</td>
<td>castelnuovo scrivia</td>
<td>5473</td>
<td>45.42</td>
<td>120.5</td>
<td>85</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>population</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>36039</td>
</tr>
</tbody>
</table> | select population where city = 'casale monferrato' <table_name> : table | | rank | city | population | area (km2) | density (inhabitants/km2) | altitude (mslm) |
|---:|:-------|:--------------------|-------------:|-------------:|----------------------------:|------------------:|
| 0 | 1st | alessandria | 94191 | 203.97 | 461.8 | 95 |
| 1 | 2nd | casale monferrato | 36039 | 86.32 | 417.5 | 116 |
| 2 | 3rd | novi ligure | 28581 | 54.22 | 527.1 | 197 |
| 3 | 4th | tortona | 27476 | 99.29 | 276.7 | 122 |
| 4 | 5th | acqui terme | 20426 | 33.42 | 611.2 | 156 |
| 5 | 6th | valenza | 20282 | 50.05 | 405.2 | 125 |
| 6 | 7th | ovada | 11912 | 35.33 | 337.2 | 186 |
| 7 | 8th | serravalle scrivia | 6445 | 16.02 | 402.3 | 225 |
| 8 | 9th | arquata scrivia | 6260 | 30.36 | 206.2 | 248 |
| 9 | 10th | castelnuovo scrivia | 5473 | 45.42 | 120.5 | 85 | | | | population |
|---:|-------------:|
| 0 | 36039 | | [
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select occupation where when? = '2000 b.c' col : subject | robot's name | who? | when? | where? | occupation row 1 : solar system | cosmo-bot | copernicus | 1531 | poland | cosmonaut row 2 : olympics | rhonda robot | greeks | 776 b.c | greece | beauty queen row 3 : basketball | danny defrost-bot | james naismith | 1891 | united states | snowman row 4 : nursing | dr. bug-bot | florence nightengale | 1860 | england | doctor row 5 : scuba gear | flip the high-diving robot | jacques cousteau | 1946 | france | diver row 6 : helicopter | amelia air-bot | leonardo da vinci | 1483 | italy | pilot row 7 : corn flakes | chef boy-robot | william kellogg | 1894 | battle creek, michigan | cook row 8 : radium | miss battery-bot | marie curie | 1898 | france | battery lady row 9 : chewing gum | bubble-bot | mayans | 400 | mexico | bubble man row 10 : painting | pierro-bot | stone-age humans | 35,000 b.c | europe | clown/artist row 11 : phonograph | slide the heavy-metal robot | thomas edison | 1877 | new jersey | rock star row 12 : paper | noshi origami | ts'ai lun | 105 | china | origami maker row 13 : round earth | vasco da robot | ferdinand magellan | 1522 | spain | early sailor row 14 : dynamite | robby robot | alfred nobel | 1866 | sweden | prankster row 15 : microscope | slobot | antonie van leeuwenhoek | 1674 | the netherlands | dirty person row 16 : writing | eraser-bot | sumerians | 3,500 b.c | middle east | pencil man row 17 : sausage | sock-bot | babylonians | 3,000 b.c | middle east | sock man row 18 : bicycle | booster-bot | karl von drais | 1816 | germany | rocket man row 19 : wheel | rollin' road-bot | sumerians | 3,000 b.c | middle east | race starter row 20 : germs | roast-bot | louis pasteur | 1865 | france | firefighter row 21 : boomerang | oswald the mailman robot | aborigines | 40,000 years ago | australia | mailman row 22 : coins | verna the vend-bot | lydians | 600 b.c | turkey | vending machine row 23 : tools | hank the handyman robot | stone-age humans | 21⁄2 million years ago | africa | mechanic row 24 : saxophone | bongo-bot the six-armed robot | antoine-joseph sax | 1846 | france | six-armed drum player row 25 : toilet | brunwella the bombshell | minoans | 2000 b.c | crete | demolisher | col : occupation row 1 : demolisher | select occupation where when? = '2000 b.c' <table_name> : table \begin{tabular}{lllllll}
\toprule
& subject & robot's name & who? & when? & where? & occupation \\
\midrule
0 & solar system & cosmo-bot & copernicus & 1531 & poland & cosmonaut \\
1 & olympics & rhonda robot & greeks & 776 b.c & greece & beauty queen \\
2 & basketball & danny defrost-bot & james naismith & 1891 & united states & snowman \\
3 & nursing & dr. bug-bot & florence nightengale & 1860 & england & doctor \\
4 & scuba gear & flip the high-diving robot & jacques cousteau & 1946 & france & diver \\
5 & helicopter & amelia air-bot & leonardo da vinci & 1483 & italy & pilot \\
6 & corn flakes & chef boy-robot & william kellogg & 1894 & battle creek, michigan & cook \\
7 & radium & miss battery-bot & marie curie & 1898 & france & battery lady \\
8 & chewing gum & bubble-bot & mayans & 400 & mexico & bubble man \\
9 & painting & pierro-bot & stone-age humans & 35,000 b.c & europe & clown/artist \\
10 & phonograph & slide the heavy-metal robot & thomas edison & 1877 & new jersey & rock star \\
11 & paper & noshi origami & ts'ai lun & 105 & china & origami maker \\
12 & round earth & vasco da robot & ferdinand magellan & 1522 & spain & early sailor \\
13 & dynamite & robby robot & alfred nobel & 1866 & sweden & prankster \\
14 & microscope & slobot & antonie van leeuwenhoek & 1674 & the netherlands & dirty person \\
15 & writing & eraser-bot & sumerians & 3,500 b.c & middle east & pencil man \\
16 & sausage & sock-bot & babylonians & 3,000 b.c & middle east & sock man \\
17 & bicycle & booster-bot & karl von drais & 1816 & germany & rocket man \\
18 & wheel & rollin' road-bot & sumerians & 3,000 b.c & middle east & race starter \\
19 & germs & roast-bot & louis pasteur & 1865 & france & firefighter \\
20 & boomerang & oswald the mailman robot & aborigines & 40,000 years ago & australia & mailman \\
21 & coins & verna the vend-bot & lydians & 600 b.c & turkey & vending machine \\
22 & tools & hank the handyman robot & stone-age humans & 21⁄2 million years ago & africa & mechanic \\
23 & saxophone & bongo-bot the six-armed robot & antoine-joseph sax & 1846 & france & six-armed drum player \\
24 & toilet & brunwella the bombshell & minoans & 2000 b.c & crete & demolisher \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& occupation \\
\midrule
0 & demolisher \\
\bottomrule
\end{tabular}
| select occupation where when? = '2000 b.c' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>subject</th>
<th>robot's name</th>
<th>who?</th>
<th>when?</th>
<th>where?</th>
<th>occupation</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>solar system</td>
<td>cosmo-bot</td>
<td>copernicus</td>
<td>1531</td>
<td>poland</td>
<td>cosmonaut</td>
</tr>
<tr>
<th>1</th>
<td>olympics</td>
<td>rhonda robot</td>
<td>greeks</td>
<td>776 b.c</td>
<td>greece</td>
<td>beauty queen</td>
</tr>
<tr>
<th>2</th>
<td>basketball</td>
<td>danny defrost-bot</td>
<td>james naismith</td>
<td>1891</td>
<td>united states</td>
<td>snowman</td>
</tr>
<tr>
<th>3</th>
<td>nursing</td>
<td>dr. bug-bot</td>
<td>florence nightengale</td>
<td>1860</td>
<td>england</td>
<td>doctor</td>
</tr>
<tr>
<th>4</th>
<td>scuba gear</td>
<td>flip the high-diving robot</td>
<td>jacques cousteau</td>
<td>1946</td>
<td>france</td>
<td>diver</td>
</tr>
<tr>
<th>5</th>
<td>helicopter</td>
<td>amelia air-bot</td>
<td>leonardo da vinci</td>
<td>1483</td>
<td>italy</td>
<td>pilot</td>
</tr>
<tr>
<th>6</th>
<td>corn flakes</td>
<td>chef boy-robot</td>
<td>william kellogg</td>
<td>1894</td>
<td>battle creek, michigan</td>
<td>cook</td>
</tr>
<tr>
<th>7</th>
<td>radium</td>
<td>miss battery-bot</td>
<td>marie curie</td>
<td>1898</td>
<td>france</td>
<td>battery lady</td>
</tr>
<tr>
<th>8</th>
<td>chewing gum</td>
<td>bubble-bot</td>
<td>mayans</td>
<td>400</td>
<td>mexico</td>
<td>bubble man</td>
</tr>
<tr>
<th>9</th>
<td>painting</td>
<td>pierro-bot</td>
<td>stone-age humans</td>
<td>35,000 b.c</td>
<td>europe</td>
<td>clown/artist</td>
</tr>
<tr>
<th>10</th>
<td>phonograph</td>
<td>slide the heavy-metal robot</td>
<td>thomas edison</td>
<td>1877</td>
<td>new jersey</td>
<td>rock star</td>
</tr>
<tr>
<th>11</th>
<td>paper</td>
<td>noshi origami</td>
<td>ts'ai lun</td>
<td>105</td>
<td>china</td>
<td>origami maker</td>
</tr>
<tr>
<th>12</th>
<td>round earth</td>
<td>vasco da robot</td>
<td>ferdinand magellan</td>
<td>1522</td>
<td>spain</td>
<td>early sailor</td>
</tr>
<tr>
<th>13</th>
<td>dynamite</td>
<td>robby robot</td>
<td>alfred nobel</td>
<td>1866</td>
<td>sweden</td>
<td>prankster</td>
</tr>
<tr>
<th>14</th>
<td>microscope</td>
<td>slobot</td>
<td>antonie van leeuwenhoek</td>
<td>1674</td>
<td>the netherlands</td>
<td>dirty person</td>
</tr>
<tr>
<th>15</th>
<td>writing</td>
<td>eraser-bot</td>
<td>sumerians</td>
<td>3,500 b.c</td>
<td>middle east</td>
<td>pencil man</td>
</tr>
<tr>
<th>16</th>
<td>sausage</td>
<td>sock-bot</td>
<td>babylonians</td>
<td>3,000 b.c</td>
<td>middle east</td>
<td>sock man</td>
</tr>
<tr>
<th>17</th>
<td>bicycle</td>
<td>booster-bot</td>
<td>karl von drais</td>
<td>1816</td>
<td>germany</td>
<td>rocket man</td>
</tr>
<tr>
<th>18</th>
<td>wheel</td>
<td>rollin' road-bot</td>
<td>sumerians</td>
<td>3,000 b.c</td>
<td>middle east</td>
<td>race starter</td>
</tr>
<tr>
<th>19</th>
<td>germs</td>
<td>roast-bot</td>
<td>louis pasteur</td>
<td>1865</td>
<td>france</td>
<td>firefighter</td>
</tr>
<tr>
<th>20</th>
<td>boomerang</td>
<td>oswald the mailman robot</td>
<td>aborigines</td>
<td>40,000 years ago</td>
<td>australia</td>
<td>mailman</td>
</tr>
<tr>
<th>21</th>
<td>coins</td>
<td>verna the vend-bot</td>
<td>lydians</td>
<td>600 b.c</td>
<td>turkey</td>
<td>vending machine</td>
</tr>
<tr>
<th>22</th>
<td>tools</td>
<td>hank the handyman robot</td>
<td>stone-age humans</td>
<td>21⁄2 million years ago</td>
<td>africa</td>
<td>mechanic</td>
</tr>
<tr>
<th>23</th>
<td>saxophone</td>
<td>bongo-bot the six-armed robot</td>
<td>antoine-joseph sax</td>
<td>1846</td>
<td>france</td>
<td>six-armed drum player</td>
</tr>
<tr>
<th>24</th>
<td>toilet</td>
<td>brunwella the bombshell</td>
<td>minoans</td>
<td>2000 b.c</td>
<td>crete</td>
<td>demolisher</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>occupation</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>demolisher</td>
</tr>
</tbody>
</table> | select occupation where when? = '2000 b.c' <table_name> : table | | subject | robot's name | who? | when? | where? | occupation |
|---:|:-------------|:------------------------------|:------------------------|:-----------------------|:-----------------------|:----------------------|
| 0 | solar system | cosmo-bot | copernicus | 1531 | poland | cosmonaut |
| 1 | olympics | rhonda robot | greeks | 776 b.c | greece | beauty queen |
| 2 | basketball | danny defrost-bot | james naismith | 1891 | united states | snowman |
| 3 | nursing | dr. bug-bot | florence nightengale | 1860 | england | doctor |
| 4 | scuba gear | flip the high-diving robot | jacques cousteau | 1946 | france | diver |
| 5 | helicopter | amelia air-bot | leonardo da vinci | 1483 | italy | pilot |
| 6 | corn flakes | chef boy-robot | william kellogg | 1894 | battle creek, michigan | cook |
| 7 | radium | miss battery-bot | marie curie | 1898 | france | battery lady |
| 8 | chewing gum | bubble-bot | mayans | 400 | mexico | bubble man |
| 9 | painting | pierro-bot | stone-age humans | 35,000 b.c | europe | clown/artist |
| 10 | phonograph | slide the heavy-metal robot | thomas edison | 1877 | new jersey | rock star |
| 11 | paper | noshi origami | ts'ai lun | 105 | china | origami maker |
| 12 | round earth | vasco da robot | ferdinand magellan | 1522 | spain | early sailor |
| 13 | dynamite | robby robot | alfred nobel | 1866 | sweden | prankster |
| 14 | microscope | slobot | antonie van leeuwenhoek | 1674 | the netherlands | dirty person |
| 15 | writing | eraser-bot | sumerians | 3,500 b.c | middle east | pencil man |
| 16 | sausage | sock-bot | babylonians | 3,000 b.c | middle east | sock man |
| 17 | bicycle | booster-bot | karl von drais | 1816 | germany | rocket man |
| 18 | wheel | rollin' road-bot | sumerians | 3,000 b.c | middle east | race starter |
| 19 | germs | roast-bot | louis pasteur | 1865 | france | firefighter |
| 20 | boomerang | oswald the mailman robot | aborigines | 40,000 years ago | australia | mailman |
| 21 | coins | verna the vend-bot | lydians | 600 b.c | turkey | vending machine |
| 22 | tools | hank the handyman robot | stone-age humans | 21⁄2 million years ago | africa | mechanic |
| 23 | saxophone | bongo-bot the six-armed robot | antoine-joseph sax | 1846 | france | six-armed drum player |
| 24 | toilet | brunwella the bombshell | minoans | 2000 b.c | crete | demolisher | | | | occupation |
|---:|:-------------|
| 0 | demolisher | | [
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] |
select no. where tournament = 'brasilia, brazil' col : outcome | no. | date | tournament | surface | opponent | score row 1 : runner-up | 1 | 2004-08-23 00:00:00 | la paz, bolivia | clay | jenifer widjaja | 6-3, 4-6, 0-6 row 2 : runner-up | 2 | 2005-06-06 00:00:00 | santa tecla, el salvador | clay | andrea benitez | 3-6, 0-6 row 3 : runner-up | 2 | 2005-08-22 00:00:00 | bogota, colombia | clay | carla tiene | 4-6, 0-6 row 4 : runner-up | 4 | 2006-05-15 00:00:00 | ciudad obregon, mexico | hard | ellah nze | 6-4, 3-6, 3-6 row 5 : winner | 1 | 2006-06-05 00:00:00 | xalapa, mexico | hard | maria irigoyen | 6-1, 3-6, 6-4 row 6 : winner | 2 | 2009-09-07 00:00:00 | mazatlan, mexico | hard | fernanda hermenegildo | 6-1, 6-2 row 7 : winner | 3 | 2009-11-02 00:00:00 | bogota, colombia | clay | yuliana lizarazo | 7-6(7-5), 6-4 row 8 : runner-up | 5 | 2009-11-16 00:00:00 | asuncion, paraguay | clay | paula ormaechea | 6-4, 4-6, 2-6 row 9 : winner | 4 | 2010-11-08 00:00:00 | bogota, colombia | clay | patricia ku flores | 6-1, 7-5 row 10 : winner | 5 | 2010-11-29 00:00:00 | santiago, chile | clay | veronica cepede royg | 6-2, 6-2 row 11 : winner | 6 | 2011-07-18 00:00:00 | ribeirao preto, brazil | clay | vivian segnini | 6-2, 6-2 row 12 : runner-up | 6 | 2011-08-08 00:00:00 | santa cruz de la sierra, bolivia | clay | maria irigoyen | 2-6, 3-6 row 13 : winner | 7 | 2011-08-15 00:00:00 | la paz, bolivia | clay | maria irigoyen | 6-0, 7-6(7-1) row 14 : runner-up | 7 | 2011-10-03 00:00:00 | yerevan, armenia | clay | julia cohen | 6-7(6-8), 2-6 row 15 : runner-up | 8 | 2012-03-19 00:00:00 | bangalore, india | hard | donna vekic | 2-6, 4-6 row 16 : runner-up | 9 | 2012-05-08 00:00:00 | brasilia, brazil | clay | gabriela paz | 3-6, 3-6 row 17 : winner | 8 | 2012-11-19 00:00:00 | barranquilla, colombia | clay | karolina nowak | 7-6(7-4), 6-0 row 18 : winner | 9 | 2013-10-21 00:00:00 | bogota, colombia | hard | anna katalina alzate esmurzaeva | 6-3, 6-3 row 19 : winner | 10 | 2013-11-11 00:00:00 | lima, peru | clay | patricia ku flores | 7-5, 6-7(4-7), 6-2 row 20 : winner | 11 | 2013-11-25 00:00:00 | bogota, colombia | clay | naomi totka | 6-1, 6-1 row 21 : runner-up | 10 | 2013-12-02 00:00:00 | barranquilla, colombia | clay | maria fernanda herazo | 4-6, 2-6 | col : no. row 1 : 9 | select no. where tournament = 'brasilia, brazil' <table_name> : table \begin{tabular}{llllllll}
\toprule
& outcome & no. & date & tournament & surface & opponent & score \\
\midrule
0 & runner-up & 1 & 2004-08-23 00:00:00 & la paz, bolivia & clay & jenifer widjaja & 6-3, 4-6, 0-6 \\
1 & runner-up & 2 & 2005-06-06 00:00:00 & santa tecla, el salvador & clay & andrea benitez & 3-6, 0-6 \\
2 & runner-up & 2 & 2005-08-22 00:00:00 & bogota, colombia & clay & carla tiene & 4-6, 0-6 \\
3 & runner-up & 4 & 2006-05-15 00:00:00 & ciudad obregon, mexico & hard & ellah nze & 6-4, 3-6, 3-6 \\
4 & winner & 1 & 2006-06-05 00:00:00 & xalapa, mexico & hard & maria irigoyen & 6-1, 3-6, 6-4 \\
5 & winner & 2 & 2009-09-07 00:00:00 & mazatlan, mexico & hard & fernanda hermenegildo & 6-1, 6-2 \\
6 & winner & 3 & 2009-11-02 00:00:00 & bogota, colombia & clay & yuliana lizarazo & 7-6(7-5), 6-4 \\
7 & runner-up & 5 & 2009-11-16 00:00:00 & asuncion, paraguay & clay & paula ormaechea & 6-4, 4-6, 2-6 \\
8 & winner & 4 & 2010-11-08 00:00:00 & bogota, colombia & clay & patricia ku flores & 6-1, 7-5 \\
9 & winner & 5 & 2010-11-29 00:00:00 & santiago, chile & clay & veronica cepede royg & 6-2, 6-2 \\
10 & winner & 6 & 2011-07-18 00:00:00 & ribeirao preto, brazil & clay & vivian segnini & 6-2, 6-2 \\
11 & runner-up & 6 & 2011-08-08 00:00:00 & santa cruz de la sierra, bolivia & clay & maria irigoyen & 2-6, 3-6 \\
12 & winner & 7 & 2011-08-15 00:00:00 & la paz, bolivia & clay & maria irigoyen & 6-0, 7-6(7-1) \\
13 & runner-up & 7 & 2011-10-03 00:00:00 & yerevan, armenia & clay & julia cohen & 6-7(6-8), 2-6 \\
14 & runner-up & 8 & 2012-03-19 00:00:00 & bangalore, india & hard & donna vekic & 2-6, 4-6 \\
15 & runner-up & 9 & 2012-05-08 00:00:00 & brasilia, brazil & clay & gabriela paz & 3-6, 3-6 \\
16 & winner & 8 & 2012-11-19 00:00:00 & barranquilla, colombia & clay & karolina nowak & 7-6(7-4), 6-0 \\
17 & winner & 9 & 2013-10-21 00:00:00 & bogota, colombia & hard & anna katalina alzate esmurzaeva & 6-3, 6-3 \\
18 & winner & 10 & 2013-11-11 00:00:00 & lima, peru & clay & patricia ku flores & 7-5, 6-7(4-7), 6-2 \\
19 & winner & 11 & 2013-11-25 00:00:00 & bogota, colombia & clay & naomi totka & 6-1, 6-1 \\
20 & runner-up & 10 & 2013-12-02 00:00:00 & barranquilla, colombia & clay & maria fernanda herazo & 4-6, 2-6 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& no. \\
\midrule
0 & 9 \\
\bottomrule
\end{tabular}
| select no. where tournament = 'brasilia, brazil' <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>opponent</th>
<th>score</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>runner-up</td>
<td>1</td>
<td>2004-08-23 00:00:00</td>
<td>la paz, bolivia</td>
<td>clay</td>
<td>jenifer widjaja</td>
<td>6-3, 4-6, 0-6</td>
</tr>
<tr>
<th>1</th>
<td>runner-up</td>
<td>2</td>
<td>2005-06-06 00:00:00</td>
<td>santa tecla, el salvador</td>
<td>clay</td>
<td>andrea benitez</td>
<td>3-6, 0-6</td>
</tr>
<tr>
<th>2</th>
<td>runner-up</td>
<td>2</td>
<td>2005-08-22 00:00:00</td>
<td>bogota, colombia</td>
<td>clay</td>
<td>carla tiene</td>
<td>4-6, 0-6</td>
</tr>
<tr>
<th>3</th>
<td>runner-up</td>
<td>4</td>
<td>2006-05-15 00:00:00</td>
<td>ciudad obregon, mexico</td>
<td>hard</td>
<td>ellah nze</td>
<td>6-4, 3-6, 3-6</td>
</tr>
<tr>
<th>4</th>
<td>winner</td>
<td>1</td>
<td>2006-06-05 00:00:00</td>
<td>xalapa, mexico</td>
<td>hard</td>
<td>maria irigoyen</td>
<td>6-1, 3-6, 6-4</td>
</tr>
<tr>
<th>5</th>
<td>winner</td>
<td>2</td>
<td>2009-09-07 00:00:00</td>
<td>mazatlan, mexico</td>
<td>hard</td>
<td>fernanda hermenegildo</td>
<td>6-1, 6-2</td>
</tr>
<tr>
<th>6</th>
<td>winner</td>
<td>3</td>
<td>2009-11-02 00:00:00</td>
<td>bogota, colombia</td>
<td>clay</td>
<td>yuliana lizarazo</td>
<td>7-6(7-5), 6-4</td>
</tr>
<tr>
<th>7</th>
<td>runner-up</td>
<td>5</td>
<td>2009-11-16 00:00:00</td>
<td>asuncion, paraguay</td>
<td>clay</td>
<td>paula ormaechea</td>
<td>6-4, 4-6, 2-6</td>
</tr>
<tr>
<th>8</th>
<td>winner</td>
<td>4</td>
<td>2010-11-08 00:00:00</td>
<td>bogota, colombia</td>
<td>clay</td>
<td>patricia ku flores</td>
<td>6-1, 7-5</td>
</tr>
<tr>
<th>9</th>
<td>winner</td>
<td>5</td>
<td>2010-11-29 00:00:00</td>
<td>santiago, chile</td>
<td>clay</td>
<td>veronica cepede royg</td>
<td>6-2, 6-2</td>
</tr>
<tr>
<th>10</th>
<td>winner</td>
<td>6</td>
<td>2011-07-18 00:00:00</td>
<td>ribeirao preto, brazil</td>
<td>clay</td>
<td>vivian segnini</td>
<td>6-2, 6-2</td>
</tr>
<tr>
<th>11</th>
<td>runner-up</td>
<td>6</td>
<td>2011-08-08 00:00:00</td>
<td>santa cruz de la sierra, bolivia</td>
<td>clay</td>
<td>maria irigoyen</td>
<td>2-6, 3-6</td>
</tr>
<tr>
<th>12</th>
<td>winner</td>
<td>7</td>
<td>2011-08-15 00:00:00</td>
<td>la paz, bolivia</td>
<td>clay</td>
<td>maria irigoyen</td>
<td>6-0, 7-6(7-1)</td>
</tr>
<tr>
<th>13</th>
<td>runner-up</td>
<td>7</td>
<td>2011-10-03 00:00:00</td>
<td>yerevan, armenia</td>
<td>clay</td>
<td>julia cohen</td>
<td>6-7(6-8), 2-6</td>
</tr>
<tr>
<th>14</th>
<td>runner-up</td>
<td>8</td>
<td>2012-03-19 00:00:00</td>
<td>bangalore, india</td>
<td>hard</td>
<td>donna vekic</td>
<td>2-6, 4-6</td>
</tr>
<tr>
<th>15</th>
<td>runner-up</td>
<td>9</td>
<td>2012-05-08 00:00:00</td>
<td>brasilia, brazil</td>
<td>clay</td>
<td>gabriela paz</td>
<td>3-6, 3-6</td>
</tr>
<tr>
<th>16</th>
<td>winner</td>
<td>8</td>
<td>2012-11-19 00:00:00</td>
<td>barranquilla, colombia</td>
<td>clay</td>
<td>karolina nowak</td>
<td>7-6(7-4), 6-0</td>
</tr>
<tr>
<th>17</th>
<td>winner</td>
<td>9</td>
<td>2013-10-21 00:00:00</td>
<td>bogota, colombia</td>
<td>hard</td>
<td>anna katalina alzate esmurzaeva</td>
<td>6-3, 6-3</td>
</tr>
<tr>
<th>18</th>
<td>winner</td>
<td>10</td>
<td>2013-11-11 00:00:00</td>
<td>lima, peru</td>
<td>clay</td>
<td>patricia ku flores</td>
<td>7-5, 6-7(4-7), 6-2</td>
</tr>
<tr>
<th>19</th>
<td>winner</td>
<td>11</td>
<td>2013-11-25 00:00:00</td>
<td>bogota, colombia</td>
<td>clay</td>
<td>naomi totka</td>
<td>6-1, 6-1</td>
</tr>
<tr>
<th>20</th>
<td>runner-up</td>
<td>10</td>
<td>2013-12-02 00:00:00</td>
<td>barranquilla, colombia</td>
<td>clay</td>
<td>maria fernanda herazo</td>
<td>4-6, 2-6</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>no.</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>9</td>
</tr>
</tbody>
</table> | select no. where tournament = 'brasilia, brazil' <table_name> : table | | outcome | no. | date | tournament | surface | opponent | score |
|---:|:----------|------:|:--------------------|:---------------------------------|:----------|:--------------------------------|:-------------------|
| 0 | runner-up | 1 | 2004-08-23 00:00:00 | la paz, bolivia | clay | jenifer widjaja | 6-3, 4-6, 0-6 |
| 1 | runner-up | 2 | 2005-06-06 00:00:00 | santa tecla, el salvador | clay | andrea benitez | 3-6, 0-6 |
| 2 | runner-up | 2 | 2005-08-22 00:00:00 | bogota, colombia | clay | carla tiene | 4-6, 0-6 |
| 3 | runner-up | 4 | 2006-05-15 00:00:00 | ciudad obregon, mexico | hard | ellah nze | 6-4, 3-6, 3-6 |
| 4 | winner | 1 | 2006-06-05 00:00:00 | xalapa, mexico | hard | maria irigoyen | 6-1, 3-6, 6-4 |
| 5 | winner | 2 | 2009-09-07 00:00:00 | mazatlan, mexico | hard | fernanda hermenegildo | 6-1, 6-2 |
| 6 | winner | 3 | 2009-11-02 00:00:00 | bogota, colombia | clay | yuliana lizarazo | 7-6(7-5), 6-4 |
| 7 | runner-up | 5 | 2009-11-16 00:00:00 | asuncion, paraguay | clay | paula ormaechea | 6-4, 4-6, 2-6 |
| 8 | winner | 4 | 2010-11-08 00:00:00 | bogota, colombia | clay | patricia ku flores | 6-1, 7-5 |
| 9 | winner | 5 | 2010-11-29 00:00:00 | santiago, chile | clay | veronica cepede royg | 6-2, 6-2 |
| 10 | winner | 6 | 2011-07-18 00:00:00 | ribeirao preto, brazil | clay | vivian segnini | 6-2, 6-2 |
| 11 | runner-up | 6 | 2011-08-08 00:00:00 | santa cruz de la sierra, bolivia | clay | maria irigoyen | 2-6, 3-6 |
| 12 | winner | 7 | 2011-08-15 00:00:00 | la paz, bolivia | clay | maria irigoyen | 6-0, 7-6(7-1) |
| 13 | runner-up | 7 | 2011-10-03 00:00:00 | yerevan, armenia | clay | julia cohen | 6-7(6-8), 2-6 |
| 14 | runner-up | 8 | 2012-03-19 00:00:00 | bangalore, india | hard | donna vekic | 2-6, 4-6 |
| 15 | runner-up | 9 | 2012-05-08 00:00:00 | brasilia, brazil | clay | gabriela paz | 3-6, 3-6 |
| 16 | winner | 8 | 2012-11-19 00:00:00 | barranquilla, colombia | clay | karolina nowak | 7-6(7-4), 6-0 |
| 17 | winner | 9 | 2013-10-21 00:00:00 | bogota, colombia | hard | anna katalina alzate esmurzaeva | 6-3, 6-3 |
| 18 | winner | 10 | 2013-11-11 00:00:00 | lima, peru | clay | patricia ku flores | 7-5, 6-7(4-7), 6-2 |
| 19 | winner | 11 | 2013-11-25 00:00:00 | bogota, colombia | clay | naomi totka | 6-1, 6-1 |
| 20 | runner-up | 10 | 2013-12-02 00:00:00 | barranquilla, colombia | clay | maria fernanda herazo | 4-6, 2-6 | | | | no. |
|---:|------:|
| 0 | 9 | | [
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] |
select count ( name ) where name = 'giza' 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 : count ( "name" ) row 1 : 1 | select count ( name ) where name = 'giza' <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
& count ( "name" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( name ) where name = 'giza' <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>count ( "name" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( name ) where name = 'giza' <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 | | | | count ( "name" ) |
|---:|-------------------:|
| 0 | 1 | | [
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select 2005 where country = 'mozambique' col : country | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 row 1 : australia | 160 | 230 | 290 | 230 | 200 | 200 | 200 | none | none | none | none | none row 2 : brazil | 30000 | 22000 | 26000 | 29000 | 29900 | 35000 | 40000 | 57300 | 58000 | 58000 | 58000 | 58000 row 3 : canada | 2290 | 3200 | 3410 | 3280 | 3400 | 3310 | 4167 | 3020 | 4380 | 4330 | 4420 | 4400 row 4 : congo d.r | none | 50 | 50 | 13 | 52 | 25 | none | none | none | none | none | none row 5 : mozambique | none | none | 5 | 34 | 130 | 34 | 29 | none | none | none | none | none row 6 : nigeria | 35 | 30 | 30 | 190 | 170 | 40 | 35 | none | none | none | none | none row 7 : rwanda | 28 | 120 | 76 | 22 | 63 | 63 | 80 | none | none | none | none | none row 8 : world | 32600 | 25600 | 29900 | 32800 | 34000 | 38700 | 44500 | 60400 | 62900 | 62900 | 62900 | 63000 | col : 2005 row 1 : 34 | select 2005 where country = 'mozambique' <table_name> : table \begin{tabular}{llllllllllllll}
\toprule
& country & 2000 & 2001 & 2002 & 2003 & 2004 & 2005 & 2006 & 2007 & 2008 & 2009 & 2010 & 2011 \\
\midrule
0 & australia & 160 & 230 & 290 & 230 & 200 & 200 & 200 & none & none & none & none & none \\
1 & brazil & 30000 & 22000 & 26000 & 29000 & 29900 & 35000 & 40000 & 57300 & 58000 & 58000 & 58000 & 58000 \\
2 & canada & 2290 & 3200 & 3410 & 3280 & 3400 & 3310 & 4167 & 3020 & 4380 & 4330 & 4420 & 4400 \\
3 & congo d.r & none & 50 & 50 & 13 & 52 & 25 & none & none & none & none & none & none \\
4 & mozambique & none & none & 5 & 34 & 130 & 34 & 29 & none & none & none & none & none \\
5 & nigeria & 35 & 30 & 30 & 190 & 170 & 40 & 35 & none & none & none & none & none \\
6 & rwanda & 28 & 120 & 76 & 22 & 63 & 63 & 80 & none & none & none & none & none \\
7 & world & 32600 & 25600 & 29900 & 32800 & 34000 & 38700 & 44500 & 60400 & 62900 & 62900 & 62900 & 63000 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& 2005 \\
\midrule
0 & 34 \\
\bottomrule
\end{tabular}
| select 2005 where country = 'mozambique' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>country</th>
<th>2000</th>
<th>2001</th>
<th>2002</th>
<th>2003</th>
<th>2004</th>
<th>2005</th>
<th>2006</th>
<th>2007</th>
<th>2008</th>
<th>2009</th>
<th>2010</th>
<th>2011</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>australia</td>
<td>160</td>
<td>230</td>
<td>290</td>
<td>230</td>
<td>200</td>
<td>200</td>
<td>200</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>brazil</td>
<td>30000</td>
<td>22000</td>
<td>26000</td>
<td>29000</td>
<td>29900</td>
<td>35000</td>
<td>40000</td>
<td>57300</td>
<td>58000</td>
<td>58000</td>
<td>58000</td>
<td>58000</td>
</tr>
<tr>
<th>2</th>
<td>canada</td>
<td>2290</td>
<td>3200</td>
<td>3410</td>
<td>3280</td>
<td>3400</td>
<td>3310</td>
<td>4167</td>
<td>3020</td>
<td>4380</td>
<td>4330</td>
<td>4420</td>
<td>4400</td>
</tr>
<tr>
<th>3</th>
<td>congo d.r</td>
<td>none</td>
<td>50</td>
<td>50</td>
<td>13</td>
<td>52</td>
<td>25</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>mozambique</td>
<td>none</td>
<td>none</td>
<td>5</td>
<td>34</td>
<td>130</td>
<td>34</td>
<td>29</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>nigeria</td>
<td>35</td>
<td>30</td>
<td>30</td>
<td>190</td>
<td>170</td>
<td>40</td>
<td>35</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>rwanda</td>
<td>28</td>
<td>120</td>
<td>76</td>
<td>22</td>
<td>63</td>
<td>63</td>
<td>80</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>world</td>
<td>32600</td>
<td>25600</td>
<td>29900</td>
<td>32800</td>
<td>34000</td>
<td>38700</td>
<td>44500</td>
<td>60400</td>
<td>62900</td>
<td>62900</td>
<td>62900</td>
<td>63000</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>2005</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>34</td>
</tr>
</tbody>
</table> | select 2005 where country = 'mozambique' <table_name> : table | | country | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 |
|---:|:-----------|:-------|:-------|-------:|-------:|-------:|-------:|:-------|:-------|:-------|:-------|:-------|:-------|
| 0 | australia | 160 | 230 | 290 | 230 | 200 | 200 | 200 | none | none | none | none | none |
| 1 | brazil | 30000 | 22000 | 26000 | 29000 | 29900 | 35000 | 40000 | 57300 | 58000 | 58000 | 58000 | 58000 |
| 2 | canada | 2290 | 3200 | 3410 | 3280 | 3400 | 3310 | 4167 | 3020 | 4380 | 4330 | 4420 | 4400 |
| 3 | congo d.r | none | 50 | 50 | 13 | 52 | 25 | none | none | none | none | none | none |
| 4 | mozambique | none | none | 5 | 34 | 130 | 34 | 29 | none | none | none | none | none |
| 5 | nigeria | 35 | 30 | 30 | 190 | 170 | 40 | 35 | none | none | none | none | none |
| 6 | rwanda | 28 | 120 | 76 | 22 | 63 | 63 | 80 | none | none | none | none | none |
| 7 | world | 32600 | 25600 | 29900 | 32800 | 34000 | 38700 | 44500 | 60400 | 62900 | 62900 | 62900 | 63000 | | | | 2005 |
|---:|-------:|
| 0 | 34 | | [
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select count ( notes ) where rank = 0 col : rank | lane | name | nationality | time | notes row 1 : 1 | 5 | eskender mustafaiev | ukraine | 38.77 | q row 2 : 2 | 4 | david smetanine | france | 38.97 | q row 3 : 3 | 3 | kyunghyun kim | south korea | 40.37 | q row 4 : 4 | 6 | christoffer lindhe | sweden | 41.52 | q row 5 : 5 | 7 | arnost petracek | czech republic | 43.12 | none row 6 : 6 | 2 | ronystony cordeiro da silva | brazil | 44.22 | none row 7 : 7 | 8 | grant patterson | australia | 55.49 | none row 8 : 8 | 1 | arnulfo castorena | mexico | 1:03.49 | none | col : count ( "notes" ) row 1 : 0 | select count ( notes ) where rank = 0 <table_name> : table \begin{tabular}{lllllll}
\toprule
& rank & lane & name & nationality & time & notes \\
\midrule
0 & 1 & 5 & eskender mustafaiev & ukraine & 38.77 & q \\
1 & 2 & 4 & david smetanine & france & 38.97 & q \\
2 & 3 & 3 & kyunghyun kim & south korea & 40.37 & q \\
3 & 4 & 6 & christoffer lindhe & sweden & 41.52 & q \\
4 & 5 & 7 & arnost petracek & czech republic & 43.12 & none \\
5 & 6 & 2 & ronystony cordeiro da silva & brazil & 44.22 & none \\
6 & 7 & 8 & grant patterson & australia & 55.49 & none \\
7 & 8 & 1 & arnulfo castorena & mexico & 1:03.49 & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "notes" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( notes ) where rank = 0 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>lane</th>
<th>name</th>
<th>nationality</th>
<th>time</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>5</td>
<td>eskender mustafaiev</td>
<td>ukraine</td>
<td>38.77</td>
<td>q</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>4</td>
<td>david smetanine</td>
<td>france</td>
<td>38.97</td>
<td>q</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>3</td>
<td>kyunghyun kim</td>
<td>south korea</td>
<td>40.37</td>
<td>q</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>6</td>
<td>christoffer lindhe</td>
<td>sweden</td>
<td>41.52</td>
<td>q</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>7</td>
<td>arnost petracek</td>
<td>czech republic</td>
<td>43.12</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>2</td>
<td>ronystony cordeiro da silva</td>
<td>brazil</td>
<td>44.22</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>8</td>
<td>grant patterson</td>
<td>australia</td>
<td>55.49</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>1</td>
<td>arnulfo castorena</td>
<td>mexico</td>
<td>1:03.49</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "notes" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select count ( notes ) where rank = 0 <table_name> : table | | rank | lane | name | nationality | time | notes |
|---:|-------:|-------:|:----------------------------|:---------------|:--------|:--------|
| 0 | 1 | 5 | eskender mustafaiev | ukraine | 38.77 | q |
| 1 | 2 | 4 | david smetanine | france | 38.97 | q |
| 2 | 3 | 3 | kyunghyun kim | south korea | 40.37 | q |
| 3 | 4 | 6 | christoffer lindhe | sweden | 41.52 | q |
| 4 | 5 | 7 | arnost petracek | czech republic | 43.12 | none |
| 5 | 6 | 2 | ronystony cordeiro da silva | brazil | 44.22 | none |
| 6 | 7 | 8 | grant patterson | australia | 55.49 | none |
| 7 | 8 | 1 | arnulfo castorena | mexico | 1:03.49 | none | | | | count ( "notes" ) |
|---:|--------------------:|
| 0 | 0 | | [
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select total points where rider = 'george newton' col : pos. | rider | semi-final points | final points | final heats | total points row 1 : 1 | jack milne | 13 | 15 | (3,3,3,3,3) | 28 row 2 : 2 | wilbur lamoreaux | 12 | 13 | (3,3,3,1,3) | 25 row 3 : 3 | cordy milne | 11 | 12 | (2,3,2,3,2) | 23 row 4 : 4 | jack parker | 11 | 10 | (2,3,1,2,2) | 21 row 5 : 5 | ginger lees | 10 | 9 | (1,1,2,2,3) | 19 row 6 : 6 | frank charles | 10 | 7 | (0,0,1,3,3) | 17 row 7 : 7 | lionel van praag | 11 | 6 | (3,0,-,3,0) | 17 row 8 : 8 | bill kitchen | 7 | 9 | (1,2,2,2,2) | 16 row 9 : 9 | george newton | 11 | 5 | (3,0,0,0,2) | 16 row 10 : 10 | eric langton | 12 | 4 | (1,0,0,3,0) | 16 row 11 : 11 | morian hansen | 7 | 8 | (1,2,3,1,1) | 15 row 12 : 12 | eric chitty | 11 | 4 | (0,2,0,1,1) | 15 row 13 : 13 | joe abbott | 8 | 6 | (2,1,1,2,0) | 14 row 14 : 14 | arthur atkinson | 8 | 6 | (2,0,2,1,1) | 14 row 15 : 15 | frank varey | 8 | 3 | (0,1,1,0,1) | 11 row 16 : 16 | tommy croombs | 6 | 2 | (0,2,0,0,0) | 8 row 17 : 17 | bob harrison | 7 | none | none | 7 row 18 : 18 | alec statham | 6 | 0 | (0) | 6 | col : total points row 1 : 16 | select total points where rider = 'george newton' <table_name> : table \begin{tabular}{lllllll}
\toprule
& pos. & rider & semi-final points & final points & final heats & total points \\
\midrule
0 & 1 & jack milne & 13 & 15 & (3,3,3,3,3) & 28 \\
1 & 2 & wilbur lamoreaux & 12 & 13 & (3,3,3,1,3) & 25 \\
2 & 3 & cordy milne & 11 & 12 & (2,3,2,3,2) & 23 \\
3 & 4 & jack parker & 11 & 10 & (2,3,1,2,2) & 21 \\
4 & 5 & ginger lees & 10 & 9 & (1,1,2,2,3) & 19 \\
5 & 6 & frank charles & 10 & 7 & (0,0,1,3,3) & 17 \\
6 & 7 & lionel van praag & 11 & 6 & (3,0,-,3,0) & 17 \\
7 & 8 & bill kitchen & 7 & 9 & (1,2,2,2,2) & 16 \\
8 & 9 & george newton & 11 & 5 & (3,0,0,0,2) & 16 \\
9 & 10 & eric langton & 12 & 4 & (1,0,0,3,0) & 16 \\
10 & 11 & morian hansen & 7 & 8 & (1,2,3,1,1) & 15 \\
11 & 12 & eric chitty & 11 & 4 & (0,2,0,1,1) & 15 \\
12 & 13 & joe abbott & 8 & 6 & (2,1,1,2,0) & 14 \\
13 & 14 & arthur atkinson & 8 & 6 & (2,0,2,1,1) & 14 \\
14 & 15 & frank varey & 8 & 3 & (0,1,1,0,1) & 11 \\
15 & 16 & tommy croombs & 6 & 2 & (0,2,0,0,0) & 8 \\
16 & 17 & bob harrison & 7 & none & none & 7 \\
17 & 18 & alec statham & 6 & 0 & (0) & 6 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& total points \\
\midrule
0 & 16 \\
\bottomrule
\end{tabular}
| select total points where rider = 'george newton' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>pos.</th>
<th>rider</th>
<th>semi-final points</th>
<th>final points</th>
<th>final heats</th>
<th>total points</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>jack milne</td>
<td>13</td>
<td>15</td>
<td>(3,3,3,3,3)</td>
<td>28</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>wilbur lamoreaux</td>
<td>12</td>
<td>13</td>
<td>(3,3,3,1,3)</td>
<td>25</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>cordy milne</td>
<td>11</td>
<td>12</td>
<td>(2,3,2,3,2)</td>
<td>23</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>jack parker</td>
<td>11</td>
<td>10</td>
<td>(2,3,1,2,2)</td>
<td>21</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>ginger lees</td>
<td>10</td>
<td>9</td>
<td>(1,1,2,2,3)</td>
<td>19</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>frank charles</td>
<td>10</td>
<td>7</td>
<td>(0,0,1,3,3)</td>
<td>17</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>lionel van praag</td>
<td>11</td>
<td>6</td>
<td>(3,0,-,3,0)</td>
<td>17</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>bill kitchen</td>
<td>7</td>
<td>9</td>
<td>(1,2,2,2,2)</td>
<td>16</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>george newton</td>
<td>11</td>
<td>5</td>
<td>(3,0,0,0,2)</td>
<td>16</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>eric langton</td>
<td>12</td>
<td>4</td>
<td>(1,0,0,3,0)</td>
<td>16</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>morian hansen</td>
<td>7</td>
<td>8</td>
<td>(1,2,3,1,1)</td>
<td>15</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>eric chitty</td>
<td>11</td>
<td>4</td>
<td>(0,2,0,1,1)</td>
<td>15</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>joe abbott</td>
<td>8</td>
<td>6</td>
<td>(2,1,1,2,0)</td>
<td>14</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>arthur atkinson</td>
<td>8</td>
<td>6</td>
<td>(2,0,2,1,1)</td>
<td>14</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>frank varey</td>
<td>8</td>
<td>3</td>
<td>(0,1,1,0,1)</td>
<td>11</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>tommy croombs</td>
<td>6</td>
<td>2</td>
<td>(0,2,0,0,0)</td>
<td>8</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>bob harrison</td>
<td>7</td>
<td>none</td>
<td>none</td>
<td>7</td>
</tr>
<tr>
<th>17</th>
<td>18</td>
<td>alec statham</td>
<td>6</td>
<td>0</td>
<td>(0)</td>
<td>6</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>total points</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>16</td>
</tr>
</tbody>
</table> | select total points where rider = 'george newton' <table_name> : table | | pos. | rider | semi-final points | final points | final heats | total points |
|---:|-------:|:-----------------|--------------------:|:---------------|:--------------|---------------:|
| 0 | 1 | jack milne | 13 | 15 | (3,3,3,3,3) | 28 |
| 1 | 2 | wilbur lamoreaux | 12 | 13 | (3,3,3,1,3) | 25 |
| 2 | 3 | cordy milne | 11 | 12 | (2,3,2,3,2) | 23 |
| 3 | 4 | jack parker | 11 | 10 | (2,3,1,2,2) | 21 |
| 4 | 5 | ginger lees | 10 | 9 | (1,1,2,2,3) | 19 |
| 5 | 6 | frank charles | 10 | 7 | (0,0,1,3,3) | 17 |
| 6 | 7 | lionel van praag | 11 | 6 | (3,0,-,3,0) | 17 |
| 7 | 8 | bill kitchen | 7 | 9 | (1,2,2,2,2) | 16 |
| 8 | 9 | george newton | 11 | 5 | (3,0,0,0,2) | 16 |
| 9 | 10 | eric langton | 12 | 4 | (1,0,0,3,0) | 16 |
| 10 | 11 | morian hansen | 7 | 8 | (1,2,3,1,1) | 15 |
| 11 | 12 | eric chitty | 11 | 4 | (0,2,0,1,1) | 15 |
| 12 | 13 | joe abbott | 8 | 6 | (2,1,1,2,0) | 14 |
| 13 | 14 | arthur atkinson | 8 | 6 | (2,0,2,1,1) | 14 |
| 14 | 15 | frank varey | 8 | 3 | (0,1,1,0,1) | 11 |
| 15 | 16 | tommy croombs | 6 | 2 | (0,2,0,0,0) | 8 |
| 16 | 17 | bob harrison | 7 | none | none | 7 |
| 17 | 18 | alec statham | 6 | 0 | (0) | 6 | | | | total points |
|---:|---------------:|
| 0 | 16 | | [
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select region where notes = 'to supplement the oecs eastern caribbean currency union' col : community | currency | region | target date | notes row 1 : economic and monetary community of central africa (cemac) | central african cfa franc | africa | none | not yet functioning common market row 2 : west african economic and monetary union (uemoa) | west african cfa franc | africa | none | not yet functioning common market row 3 : gulf cooperation council (gcc) | khaleeji | middle east | 2013 | possibly gold backed, but postponed due to the financial crisis row 4 : east african community (eac) | east african shilling | africa | 2015 | to be used by the future east african federation row 5 : caribbean single market and economy (as part of the caricom) | none | latin america /caribbean | 2015 | to supplement the oecs eastern caribbean currency union row 6 : southern african customs union (sacu) | south african rand | africa | 2015 | de facto for the cma member when the sadc economic union is established row 7 : southern african development community (sadc) | south african rand (interim proposal) | africa | 2016 | to supplement or succeed the cma and southern africa customs union row 8 : south asian association for regional cooperation | none | south asia | 2016 | none row 9 : union of south american nations (unasur) | latino | latin america /caribbean | 2019 | none row 10 : economic community of central african states (eccas) | none | africa | none | to supplement the economic and monetary community of central africa (cemac) row 11 : economic community of west african states (ecowas) | none | africa | none | to succeed uemoa and wamz row 12 : african economic community | none | africa | 2028 | see african monetary union row 13 : union state of russia and belarus | russian ruble | europe | none | none row 14 : arab league | arab dinar | arab states | none | arab dinar has been proposed ever since the creation of the arab monetary fund, expected for serious plans of doing so, after the creation of the proposed arab union | col : region row 1 : latin america /caribbean | select region where notes = 'to supplement the oecs eastern caribbean currency union' <table_name> : table \begin{tabular}{llllll}
\toprule
& community & currency & region & target date & notes \\
\midrule
0 & economic and monetary community of central africa (cemac) & central african cfa franc & africa & none & not yet functioning common market \\
1 & west african economic and monetary union (uemoa) & west african cfa franc & africa & none & not yet functioning common market \\
2 & gulf cooperation council (gcc) & khaleeji & middle east & 2013 & possibly gold backed, but postponed due to the financial crisis \\
3 & east african community (eac) & east african shilling & africa & 2015 & to be used by the future east african federation \\
4 & caribbean single market and economy (as part of the caricom) & none & latin america /caribbean & 2015 & to supplement the oecs eastern caribbean currency union \\
5 & southern african customs union (sacu) & south african rand & africa & 2015 & de facto for the cma member when the sadc economic union is established \\
6 & southern african development community (sadc) & south african rand (interim proposal) & africa & 2016 & to supplement or succeed the cma and southern africa customs union \\
7 & south asian association for regional cooperation & none & south asia & 2016 & none \\
8 & union of south american nations (unasur) & latino & latin america /caribbean & 2019 & none \\
9 & economic community of central african states (eccas) & none & africa & none & to supplement the economic and monetary community of central africa (cemac) \\
10 & economic community of west african states (ecowas) & none & africa & none & to succeed uemoa and wamz \\
11 & african economic community & none & africa & 2028 & see african monetary union \\
12 & union state of russia and belarus & russian ruble & europe & none & none \\
13 & arab league & arab dinar & arab states & none & arab dinar has been proposed ever since the creation of the arab monetary fund, expected for serious plans of doing so, after the creation of the proposed arab union \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& region \\
\midrule
0 & latin america /caribbean \\
\bottomrule
\end{tabular}
| select region where notes = 'to supplement the oecs eastern caribbean currency union' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>community</th>
<th>currency</th>
<th>region</th>
<th>target date</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>economic and monetary community of central africa (cemac)</td>
<td>central african cfa franc</td>
<td>africa</td>
<td>none</td>
<td>not yet functioning common market</td>
</tr>
<tr>
<th>1</th>
<td>west african economic and monetary union (uemoa)</td>
<td>west african cfa franc</td>
<td>africa</td>
<td>none</td>
<td>not yet functioning common market</td>
</tr>
<tr>
<th>2</th>
<td>gulf cooperation council (gcc)</td>
<td>khaleeji</td>
<td>middle east</td>
<td>2013</td>
<td>possibly gold backed, but postponed due to the financial crisis</td>
</tr>
<tr>
<th>3</th>
<td>east african community (eac)</td>
<td>east african shilling</td>
<td>africa</td>
<td>2015</td>
<td>to be used by the future east african federation</td>
</tr>
<tr>
<th>4</th>
<td>caribbean single market and economy (as part of the caricom)</td>
<td>none</td>
<td>latin america /caribbean</td>
<td>2015</td>
<td>to supplement the oecs eastern caribbean currency union</td>
</tr>
<tr>
<th>5</th>
<td>southern african customs union (sacu)</td>
<td>south african rand</td>
<td>africa</td>
<td>2015</td>
<td>de facto for the cma member when the sadc economic union is established</td>
</tr>
<tr>
<th>6</th>
<td>southern african development community (sadc)</td>
<td>south african rand (interim proposal)</td>
<td>africa</td>
<td>2016</td>
<td>to supplement or succeed the cma and southern africa customs union</td>
</tr>
<tr>
<th>7</th>
<td>south asian association for regional cooperation</td>
<td>none</td>
<td>south asia</td>
<td>2016</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>union of south american nations (unasur)</td>
<td>latino</td>
<td>latin america /caribbean</td>
<td>2019</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>economic community of central african states (eccas)</td>
<td>none</td>
<td>africa</td>
<td>none</td>
<td>to supplement the economic and monetary community of central africa (cemac)</td>
</tr>
<tr>
<th>10</th>
<td>economic community of west african states (ecowas)</td>
<td>none</td>
<td>africa</td>
<td>none</td>
<td>to succeed uemoa and wamz</td>
</tr>
<tr>
<th>11</th>
<td>african economic community</td>
<td>none</td>
<td>africa</td>
<td>2028</td>
<td>see african monetary union</td>
</tr>
<tr>
<th>12</th>
<td>union state of russia and belarus</td>
<td>russian ruble</td>
<td>europe</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>arab league</td>
<td>arab dinar</td>
<td>arab states</td>
<td>none</td>
<td>arab dinar has been proposed ever since the creation of the arab monetary fund, expected for serious plans of doing so, after the creation of the proposed arab union</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>region</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>latin america /caribbean</td>
</tr>
</tbody>
</table> | select region where notes = 'to supplement the oecs eastern caribbean currency union' <table_name> : table | | community | currency | region | target date | notes |
|---:|:-------------------------------------------------------------|:--------------------------------------|:-------------------------|:--------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | economic and monetary community of central africa (cemac) | central african cfa franc | africa | none | not yet functioning common market |
| 1 | west african economic and monetary union (uemoa) | west african cfa franc | africa | none | not yet functioning common market |
| 2 | gulf cooperation council (gcc) | khaleeji | middle east | 2013 | possibly gold backed, but postponed due to the financial crisis |
| 3 | east african community (eac) | east african shilling | africa | 2015 | to be used by the future east african federation |
| 4 | caribbean single market and economy (as part of the caricom) | none | latin america /caribbean | 2015 | to supplement the oecs eastern caribbean currency union |
| 5 | southern african customs union (sacu) | south african rand | africa | 2015 | de facto for the cma member when the sadc economic union is established |
| 6 | southern african development community (sadc) | south african rand (interim proposal) | africa | 2016 | to supplement or succeed the cma and southern africa customs union |
| 7 | south asian association for regional cooperation | none | south asia | 2016 | none |
| 8 | union of south american nations (unasur) | latino | latin america /caribbean | 2019 | none |
| 9 | economic community of central african states (eccas) | none | africa | none | to supplement the economic and monetary community of central africa (cemac) |
| 10 | economic community of west african states (ecowas) | none | africa | none | to succeed uemoa and wamz |
| 11 | african economic community | none | africa | 2028 | see african monetary union |
| 12 | union state of russia and belarus | russian ruble | europe | none | none |
| 13 | arab league | arab dinar | arab states | none | arab dinar has been proposed ever since the creation of the arab monetary fund, expected for serious plans of doing so, after the creation of the proposed arab union | | | | region |
|---:|:-------------------------|
| 0 | latin america /caribbean | | [
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select reign - college where college = 'balliol' col : name | college | years | reign row 1 : seretse khama | balliol | 1945 | king of the bagammangwato people (1925); afterwards first president of botswana (1966-1980) row 2 : jigme khesar namgyal wangchuck | magdalen | 2000-? | king of bhutan (2006 onwards) row 3 : abdullah ii of jordan | pembroke | none | king of jordan (1999 onwards) row 4 : sultan ahmad shah | worcester | 1948-? | king of malaysia (1979-1984) and sultan of pahang (1979 onwards) row 5 : tuanku abdul halim | wadham | -1954 | king of malaysia (1970-1975) and sultan of kedah (1958 onwards) row 6 : tuanku jaafar | balliol | none | king of malaysia (1994-1999) and yang di-pertuan besar of negeri sembilan (1968 onwards) row 7 : william ii of the netherlands | none | none | king of the netherlands and grand duke of luxembourg (1840-1849) row 8 : harald v of norway | balliol | 1960-1962 | king of norway (1991 onwards) row 9 : olav v of norway | balliol | 1924-1926 | king of norway (1957-1991) row 10 : vajiravhud | christ church | 1900-1901 | king of siam (1910-1925) row 11 : andrew bertie | christ church | none | prince and grand master of the sovereign military order of malta (1988-2008) row 12 : george tupou v | none | none | king of tonga (2006-2012) | col : "reign - college" row 1 : reign - college row 2 : reign - college row 3 : reign - college row 4 : reign - college | select reign - college where college = 'balliol' <table_name> : table \begin{tabular}{lllll}
\toprule
& name & college & years & reign \\
\midrule
0 & seretse khama & balliol & 1945 & king of the bagammangwato people (1925); afterwards first president of botswana (1966-1980) \\
1 & jigme khesar namgyal wangchuck & magdalen & 2000-? & king of bhutan (2006 onwards) \\
2 & abdullah ii of jordan & pembroke & none & king of jordan (1999 onwards) \\
3 & sultan ahmad shah & worcester & 1948-? & king of malaysia (1979-1984) and sultan of pahang (1979 onwards) \\
4 & tuanku abdul halim & wadham & -1954 & king of malaysia (1970-1975) and sultan of kedah (1958 onwards) \\
5 & tuanku jaafar & balliol & none & king of malaysia (1994-1999) and yang di-pertuan besar of negeri sembilan (1968 onwards) \\
6 & william ii of the netherlands & none & none & king of the netherlands and grand duke of luxembourg (1840-1849) \\
7 & harald v of norway & balliol & 1960-1962 & king of norway (1991 onwards) \\
8 & olav v of norway & balliol & 1924-1926 & king of norway (1957-1991) \\
9 & vajiravhud & christ church & 1900-1901 & king of siam (1910-1925) \\
10 & andrew bertie & christ church & none & prince and grand master of the sovereign military order of malta (1988-2008) \\
11 & george tupou v & none & none & king of tonga (2006-2012) \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& "reign - college" \\
\midrule
0 & reign - college \\
1 & reign - college \\
2 & reign - college \\
3 & reign - college \\
\bottomrule
\end{tabular}
| select reign - college where college = 'balliol' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>name</th>
<th>college</th>
<th>years</th>
<th>reign</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>seretse khama</td>
<td>balliol</td>
<td>1945</td>
<td>king of the bagammangwato people (1925); afterwards first president of botswana (1966-1980)</td>
</tr>
<tr>
<th>1</th>
<td>jigme khesar namgyal wangchuck</td>
<td>magdalen</td>
<td>2000-?</td>
<td>king of bhutan (2006 onwards)</td>
</tr>
<tr>
<th>2</th>
<td>abdullah ii of jordan</td>
<td>pembroke</td>
<td>none</td>
<td>king of jordan (1999 onwards)</td>
</tr>
<tr>
<th>3</th>
<td>sultan ahmad shah</td>
<td>worcester</td>
<td>1948-?</td>
<td>king of malaysia (1979-1984) and sultan of pahang (1979 onwards)</td>
</tr>
<tr>
<th>4</th>
<td>tuanku abdul halim</td>
<td>wadham</td>
<td>-1954</td>
<td>king of malaysia (1970-1975) and sultan of kedah (1958 onwards)</td>
</tr>
<tr>
<th>5</th>
<td>tuanku jaafar</td>
<td>balliol</td>
<td>none</td>
<td>king of malaysia (1994-1999) and yang di-pertuan besar of negeri sembilan (1968 onwards)</td>
</tr>
<tr>
<th>6</th>
<td>william ii of the netherlands</td>
<td>none</td>
<td>none</td>
<td>king of the netherlands and grand duke of luxembourg (1840-1849)</td>
</tr>
<tr>
<th>7</th>
<td>harald v of norway</td>
<td>balliol</td>
<td>1960-1962</td>
<td>king of norway (1991 onwards)</td>
</tr>
<tr>
<th>8</th>
<td>olav v of norway</td>
<td>balliol</td>
<td>1924-1926</td>
<td>king of norway (1957-1991)</td>
</tr>
<tr>
<th>9</th>
<td>vajiravhud</td>
<td>christ church</td>
<td>1900-1901</td>
<td>king of siam (1910-1925)</td>
</tr>
<tr>
<th>10</th>
<td>andrew bertie</td>
<td>christ church</td>
<td>none</td>
<td>prince and grand master of the sovereign military order of malta (1988-2008)</td>
</tr>
<tr>
<th>11</th>
<td>george tupou v</td>
<td>none</td>
<td>none</td>
<td>king of tonga (2006-2012)</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>"reign - college"</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>reign - college</td>
</tr>
<tr>
<th>1</th>
<td>reign - college</td>
</tr>
<tr>
<th>2</th>
<td>reign - college</td>
</tr>
<tr>
<th>3</th>
<td>reign - college</td>
</tr>
</tbody>
</table> | select reign - college where college = 'balliol' <table_name> : table | | name | college | years | reign |
|---:|:-------------------------------|:--------------|:----------|:--------------------------------------------------------------------------------------------|
| 0 | seretse khama | balliol | 1945 | king of the bagammangwato people (1925); afterwards first president of botswana (1966-1980) |
| 1 | jigme khesar namgyal wangchuck | magdalen | 2000-? | king of bhutan (2006 onwards) |
| 2 | abdullah ii of jordan | pembroke | none | king of jordan (1999 onwards) |
| 3 | sultan ahmad shah | worcester | 1948-? | king of malaysia (1979-1984) and sultan of pahang (1979 onwards) |
| 4 | tuanku abdul halim | wadham | -1954 | king of malaysia (1970-1975) and sultan of kedah (1958 onwards) |
| 5 | tuanku jaafar | balliol | none | king of malaysia (1994-1999) and yang di-pertuan besar of negeri sembilan (1968 onwards) |
| 6 | william ii of the netherlands | none | none | king of the netherlands and grand duke of luxembourg (1840-1849) |
| 7 | harald v of norway | balliol | 1960-1962 | king of norway (1991 onwards) |
| 8 | olav v of norway | balliol | 1924-1926 | king of norway (1957-1991) |
| 9 | vajiravhud | christ church | 1900-1901 | king of siam (1910-1925) |
| 10 | andrew bertie | christ church | none | prince and grand master of the sovereign military order of malta (1988-2008) |
| 11 | george tupou v | none | none | king of tonga (2006-2012) | | | | "reign - college" |
|---:|:--------------------|
| 0 | reign - college |
| 1 | reign - college |
| 2 | reign - college |
| 3 | reign - college | | [
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select console where handheld = 'game boy advance' 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 : console row 1 : none row 2 : none row 3 : none row 4 : playstation 2, gamecube, xbox row 5 : playstation 2, gamecube, xbox row 6 : playstation 2 row 7 : none row 8 : playstation 2 row 9 : playstation 2 | select console where handheld = 'game boy advance' <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
& console \\
\midrule
0 & none \\
1 & none \\
2 & none \\
3 & playstation 2, gamecube, xbox \\
4 & playstation 2, gamecube, xbox \\
5 & playstation 2 \\
6 & none \\
7 & playstation 2 \\
8 & playstation 2 \\
\bottomrule
\end{tabular}
| select console where handheld = 'game boy advance' <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>console</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>playstation 2, gamecube, xbox</td>
</tr>
<tr>
<th>4</th>
<td>playstation 2, gamecube, xbox</td>
</tr>
<tr>
<th>5</th>
<td>playstation 2</td>
</tr>
<tr>
<th>6</th>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>playstation 2</td>
</tr>
<tr>
<th>8</th>
<td>playstation 2</td>
</tr>
</tbody>
</table> | select console where handheld = 'game boy advance' <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 | | | | console |
|---:|:------------------------------|
| 0 | none |
| 1 | none |
| 2 | none |
| 3 | playstation 2, gamecube, xbox |
| 4 | playstation 2, gamecube, xbox |
| 5 | playstation 2 |
| 6 | none |
| 7 | playstation 2 |
| 8 | playstation 2 | | [
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select count ( kit manufacturer ) where year = '1997-1999' col : year | kit manufacturer | shirt sponsor | back of shirt sponsor | short sponsor row 1 : 1977-1978 | none | national express | none | none row 2 : 1982-1985 | umbro | none | none | none row 3 : 1985-1986 | umbro | whitbread | none | none row 4 : 1986-1988 | henson | duraflex | none | none row 5 : 1988-1989 | none | gulf oil | none | none row 6 : 1991-1993 | technik | gulf oil | none | none row 7 : 1993-1994 | club sport | gulf oil | none | none row 8 : 1994-1995 | klub sport | empress | none | none row 9 : 1995-1996 | matchwinner | empress | none | none row 10 : 1996-1997 | uk | endsleigh insurance | none | none row 11 : 1997-1999 | errea | endsleigh insurance | none | none row 12 : 1999-2004 | errea | towergate insurance | none | none row 13 : 2004-2008 | errea | bence building merchants | none | none row 14 : 2008- | errea | mira showers | none | none row 15 : 2009-2011 | errea | mira showers | psu technology group | none row 16 : 2011-2013 | errea | mira showers | barr stadia | gloucestershire echo row 17 : 2013- | errea | mira showers | gloucestershire college | gloucestershire echo | col : count ( "kit manufacturer" ) row 1 : 1 | select count ( kit manufacturer ) where year = '1997-1999' <table_name> : table \begin{tabular}{llllll}
\toprule
& year & kit manufacturer & shirt sponsor & back of shirt sponsor & short sponsor \\
\midrule
0 & 1977-1978 & none & national express & none & none \\
1 & 1982-1985 & umbro & none & none & none \\
2 & 1985-1986 & umbro & whitbread & none & none \\
3 & 1986-1988 & henson & duraflex & none & none \\
4 & 1988-1989 & none & gulf oil & none & none \\
5 & 1991-1993 & technik & gulf oil & none & none \\
6 & 1993-1994 & club sport & gulf oil & none & none \\
7 & 1994-1995 & klub sport & empress & none & none \\
8 & 1995-1996 & matchwinner & empress & none & none \\
9 & 1996-1997 & uk & endsleigh insurance & none & none \\
10 & 1997-1999 & errea & endsleigh insurance & none & none \\
11 & 1999-2004 & errea & towergate insurance & none & none \\
12 & 2004-2008 & errea & bence building merchants & none & none \\
13 & 2008- & errea & mira showers & none & none \\
14 & 2009-2011 & errea & mira showers & psu technology group & none \\
15 & 2011-2013 & errea & mira showers & barr stadia & gloucestershire echo \\
16 & 2013- & errea & mira showers & gloucestershire college & gloucestershire echo \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "kit manufacturer" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( kit manufacturer ) where year = '1997-1999' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>kit manufacturer</th>
<th>shirt sponsor</th>
<th>back of shirt sponsor</th>
<th>short sponsor</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1977-1978</td>
<td>none</td>
<td>national express</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>1982-1985</td>
<td>umbro</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>1985-1986</td>
<td>umbro</td>
<td>whitbread</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>1986-1988</td>
<td>henson</td>
<td>duraflex</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>1988-1989</td>
<td>none</td>
<td>gulf oil</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>1991-1993</td>
<td>technik</td>
<td>gulf oil</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>1993-1994</td>
<td>club sport</td>
<td>gulf oil</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>1994-1995</td>
<td>klub sport</td>
<td>empress</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>1995-1996</td>
<td>matchwinner</td>
<td>empress</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>1996-1997</td>
<td>uk</td>
<td>endsleigh insurance</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>1997-1999</td>
<td>errea</td>
<td>endsleigh insurance</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>1999-2004</td>
<td>errea</td>
<td>towergate insurance</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>12</th>
<td>2004-2008</td>
<td>errea</td>
<td>bence building merchants</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>2008-</td>
<td>errea</td>
<td>mira showers</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>14</th>
<td>2009-2011</td>
<td>errea</td>
<td>mira showers</td>
<td>psu technology group</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>2011-2013</td>
<td>errea</td>
<td>mira showers</td>
<td>barr stadia</td>
<td>gloucestershire echo</td>
</tr>
<tr>
<th>16</th>
<td>2013-</td>
<td>errea</td>
<td>mira showers</td>
<td>gloucestershire college</td>
<td>gloucestershire echo</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "kit manufacturer" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( kit manufacturer ) where year = '1997-1999' <table_name> : table | | year | kit manufacturer | shirt sponsor | back of shirt sponsor | short sponsor |
|---:|:----------|:-------------------|:-------------------------|:------------------------|:---------------------|
| 0 | 1977-1978 | none | national express | none | none |
| 1 | 1982-1985 | umbro | none | none | none |
| 2 | 1985-1986 | umbro | whitbread | none | none |
| 3 | 1986-1988 | henson | duraflex | none | none |
| 4 | 1988-1989 | none | gulf oil | none | none |
| 5 | 1991-1993 | technik | gulf oil | none | none |
| 6 | 1993-1994 | club sport | gulf oil | none | none |
| 7 | 1994-1995 | klub sport | empress | none | none |
| 8 | 1995-1996 | matchwinner | empress | none | none |
| 9 | 1996-1997 | uk | endsleigh insurance | none | none |
| 10 | 1997-1999 | errea | endsleigh insurance | none | none |
| 11 | 1999-2004 | errea | towergate insurance | none | none |
| 12 | 2004-2008 | errea | bence building merchants | none | none |
| 13 | 2008- | errea | mira showers | none | none |
| 14 | 2009-2011 | errea | mira showers | psu technology group | none |
| 15 | 2011-2013 | errea | mira showers | barr stadia | gloucestershire echo |
| 16 | 2013- | errea | mira showers | gloucestershire college | gloucestershire echo | | | | count ( "kit manufacturer" ) |
|---:|-------------------------------:|
| 0 | 1 | | [
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select count ( distinct main cast ) where english title (chinese title) = 1464 col : airing date | english title (chinese title) | number of episodes | main cast | theme song (t) sub-theme song (st) | genre | notes | official website row 1 : 19 feb- 15 mar | mutual affection 河東獅吼 | 20 | esther kwan, gordon lam, natalie wong | t: "怕老婆會發達" (david lui) | costume drama | none | none row 2 : 18 mar- 3 may | dark tales 聊齋 | 35 | gallen lo, grace yu, jamie wang, cynthia khan | t: "隔世情" (cass phang) | costume drama | prequel to 1998's dark tales ii | none row 3 : 6 may- 31 may | money just can't buy 天降財神 | 20 | bobby au yeung, mariane chan, roger kwok, hilary tsui | t: "運財有福星" (natalis chan) | modern drama | none | none row 4 : 3 jun- 21 jun | crossing boundaries 盞鬼老豆 | 15 | mini kung, benz hui | t: "覺悟" (vivian lai) | modern drama | released overseas on april 3, 1995 | none row 5 : 24 jun- 16 aug | state of divinity 笑傲江湖 | 40 | jackie lui, fiona leung, cherie chan, timmy ho, he meitian | t: "活得瀟灑" (alan tam & priscilla chan) | costume drama | none | official website row 6 : 19 aug- 6 sep | the price to pay 五個醒覺的少年 | 20 | john kwan, may kwong, ng ka lok | t: "改改改" (hacken lee) | modern drama | released overseas on december 7, 1995 | none row 7 : 9 sep- 4 oct | night journey 殭屍福星 | 20 | yuen wah, daniel chan, louisa so, cheung kwok keung, halina tam | t: "今天開始" (daniel chan) st: "天生一對" (daniel chan) | costume drama | none | none row 8 : 7 oct- 15 nov | food of love 闔府統請 | 30 | wong he, kenix kwok, marco ngai, gabriel harrison | t: "闔府統請" (gabriel harrison) | modern drama | none | none row 9 : 10 nov- 20 dec | journey to the west 西遊記 | 30 | dicky cheung, kwong wah, wayne lai, evergreen mak | t: "西遊記" (dicky cheung) | costume drama | prequel to 1998's journey to the west ii | official website row 10 : 30 dec 1996- 27 jan 1998 | in the name of love 有肥人終成眷屬 | 20 | kent cheng, sunny chan, gigi fu, theresa lee | t: "但願有情人" (mo kai yin) | modern drama | none | none | col : count ( "distinct main cast" ) row 1 : 0 | select count ( distinct main cast ) where english title (chinese title) = 1464 <table_name> : table \begin{tabular}{lllllllll}
\toprule
& airing date & english title (chinese title) & number of episodes & main cast & theme song (t) sub-theme song (st) & genre & notes & official website \\
\midrule
0 & 19 feb- 15 mar & mutual affection 河東獅吼 & 20 & esther kwan, gordon lam, natalie wong & t: "怕老婆會發達" (david lui) & costume drama & none & none \\
1 & 18 mar- 3 may & dark tales 聊齋 & 35 & gallen lo, grace yu, jamie wang, cynthia khan & t: "隔世情" (cass phang) & costume drama & prequel to 1998's dark tales ii & none \\
2 & 6 may- 31 may & money just can't buy 天降財神 & 20 & bobby au yeung, mariane chan, roger kwok, hilary tsui & t: "運財有福星" (natalis chan) & modern drama & none & none \\
3 & 3 jun- 21 jun & crossing boundaries 盞鬼老豆 & 15 & mini kung, benz hui & t: "覺悟" (vivian lai) & modern drama & released overseas on april 3, 1995 & none \\
4 & 24 jun- 16 aug & state of divinity 笑傲江湖 & 40 & jackie lui, fiona leung, cherie chan, timmy ho, he meitian & t: "活得瀟灑" (alan tam & priscilla chan) & costume drama & none & official website \\
5 & 19 aug- 6 sep & the price to pay 五個醒覺的少年 & 20 & john kwan, may kwong, ng ka lok & t: "改改改" (hacken lee) & modern drama & released overseas on december 7, 1995 & none \\
6 & 9 sep- 4 oct & night journey 殭屍福星 & 20 & yuen wah, daniel chan, louisa so, cheung kwok keung, halina tam & t: "今天開始" (daniel chan) st: "天生一對" (daniel chan) & costume drama & none & none \\
7 & 7 oct- 15 nov & food of love 闔府統請 & 30 & wong he, kenix kwok, marco ngai, gabriel harrison & t: "闔府統請" (gabriel harrison) & modern drama & none & none \\
8 & 10 nov- 20 dec & journey to the west 西遊記 & 30 & dicky cheung, kwong wah, wayne lai, evergreen mak & t: "西遊記" (dicky cheung) & costume drama & prequel to 1998's journey to the west ii & official website \\
9 & 30 dec 1996- 27 jan 1998 & in the name of love 有肥人終成眷屬 & 20 & kent cheng, sunny chan, gigi fu, theresa lee & t: "但願有情人" (mo kai yin) & modern drama & none & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "distinct main cast" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( distinct main cast ) where english title (chinese title) = 1464 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>airing date</th>
<th>english title (chinese title)</th>
<th>number of episodes</th>
<th>main cast</th>
<th>theme song (t) sub-theme song (st)</th>
<th>genre</th>
<th>notes</th>
<th>official website</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>19 feb- 15 mar</td>
<td>mutual affection 河東獅吼</td>
<td>20</td>
<td>esther kwan, gordon lam, natalie wong</td>
<td>t: "怕老婆會發達" (david lui)</td>
<td>costume drama</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>18 mar- 3 may</td>
<td>dark tales 聊齋</td>
<td>35</td>
<td>gallen lo, grace yu, jamie wang, cynthia khan</td>
<td>t: "隔世情" (cass phang)</td>
<td>costume drama</td>
<td>prequel to 1998's dark tales ii</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>6 may- 31 may</td>
<td>money just can't buy 天降財神</td>
<td>20</td>
<td>bobby au yeung, mariane chan, roger kwok, hilary tsui</td>
<td>t: "運財有福星" (natalis chan)</td>
<td>modern drama</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>3 jun- 21 jun</td>
<td>crossing boundaries 盞鬼老豆</td>
<td>15</td>
<td>mini kung, benz hui</td>
<td>t: "覺悟" (vivian lai)</td>
<td>modern drama</td>
<td>released overseas on april 3, 1995</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>24 jun- 16 aug</td>
<td>state of divinity 笑傲江湖</td>
<td>40</td>
<td>jackie lui, fiona leung, cherie chan, timmy ho, he meitian</td>
<td>t: "活得瀟灑" (alan tam & priscilla chan)</td>
<td>costume drama</td>
<td>none</td>
<td>official website</td>
</tr>
<tr>
<th>5</th>
<td>19 aug- 6 sep</td>
<td>the price to pay 五個醒覺的少年</td>
<td>20</td>
<td>john kwan, may kwong, ng ka lok</td>
<td>t: "改改改" (hacken lee)</td>
<td>modern drama</td>
<td>released overseas on december 7, 1995</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>9 sep- 4 oct</td>
<td>night journey 殭屍福星</td>
<td>20</td>
<td>yuen wah, daniel chan, louisa so, cheung kwok keung, halina tam</td>
<td>t: "今天開始" (daniel chan) st: "天生一對" (daniel chan)</td>
<td>costume drama</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>7 oct- 15 nov</td>
<td>food of love 闔府統請</td>
<td>30</td>
<td>wong he, kenix kwok, marco ngai, gabriel harrison</td>
<td>t: "闔府統請" (gabriel harrison)</td>
<td>modern drama</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>10 nov- 20 dec</td>
<td>journey to the west 西遊記</td>
<td>30</td>
<td>dicky cheung, kwong wah, wayne lai, evergreen mak</td>
<td>t: "西遊記" (dicky cheung)</td>
<td>costume drama</td>
<td>prequel to 1998's journey to the west ii</td>
<td>official website</td>
</tr>
<tr>
<th>9</th>
<td>30 dec 1996- 27 jan 1998</td>
<td>in the name of love 有肥人終成眷屬</td>
<td>20</td>
<td>kent cheng, sunny chan, gigi fu, theresa lee</td>
<td>t: "但願有情人" (mo kai yin)</td>
<td>modern drama</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 main cast" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select count ( distinct main cast ) where english title (chinese title) = 1464 <table_name> : table | | airing date | english title (chinese title) | number of episodes | main cast | theme song (t) sub-theme song (st) | genre | notes | official website |
|---:|:-------------------------|:-----------------------------------|---------------------:|:----------------------------------------------------------------|:---------------------------------------------------------|:--------------|:-----------------------------------------|:-------------------|
| 0 | 19 feb- 15 mar | mutual affection 河東獅吼 | 20 | esther kwan, gordon lam, natalie wong | t: "怕老婆會發達" (david lui) | costume drama | none | none |
| 1 | 18 mar- 3 may | dark tales 聊齋 | 35 | gallen lo, grace yu, jamie wang, cynthia khan | t: "隔世情" (cass phang) | costume drama | prequel to 1998's dark tales ii | none |
| 2 | 6 may- 31 may | money just can't buy 天降財神 | 20 | bobby au yeung, mariane chan, roger kwok, hilary tsui | t: "運財有福星" (natalis chan) | modern drama | none | none |
| 3 | 3 jun- 21 jun | crossing boundaries 盞鬼老豆 | 15 | mini kung, benz hui | t: "覺悟" (vivian lai) | modern drama | released overseas on april 3, 1995 | none |
| 4 | 24 jun- 16 aug | state of divinity 笑傲江湖 | 40 | jackie lui, fiona leung, cherie chan, timmy ho, he meitian | t: "活得瀟灑" (alan tam & priscilla chan) | costume drama | none | official website |
| 5 | 19 aug- 6 sep | the price to pay 五個醒覺的少年 | 20 | john kwan, may kwong, ng ka lok | t: "改改改" (hacken lee) | modern drama | released overseas on december 7, 1995 | none |
| 6 | 9 sep- 4 oct | night journey 殭屍福星 | 20 | yuen wah, daniel chan, louisa so, cheung kwok keung, halina tam | t: "今天開始" (daniel chan) st: "天生一對" (daniel chan) | costume drama | none | none |
| 7 | 7 oct- 15 nov | food of love 闔府統請 | 30 | wong he, kenix kwok, marco ngai, gabriel harrison | t: "闔府統請" (gabriel harrison) | modern drama | none | none |
| 8 | 10 nov- 20 dec | journey to the west 西遊記 | 30 | dicky cheung, kwong wah, wayne lai, evergreen mak | t: "西遊記" (dicky cheung) | costume drama | prequel to 1998's journey to the west ii | official website |
| 9 | 30 dec 1996- 27 jan 1998 | in the name of love 有肥人終成眷屬 | 20 | kent cheng, sunny chan, gigi fu, theresa lee | t: "但願有情人" (mo kai yin) | modern drama | none | none | | | | count ( "distinct main cast" ) |
|---:|---------------------------------:|
| 0 | 0 | | [
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] | [
[
1,
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1,
1,
1,
1,
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1,
1,
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1,
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1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
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1,
1,
1,
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1,
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1,
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1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
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1,
1,
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select nfl team where college = 'xavier' col : pick # | nfl team | player | position | college row 1 : 417 | buffalo bills | wayne lineberry | linebacker | east carolina row 2 : 418 | atlanta falcons | paul williams | running back | california row 3 : 419 | philadelphia eagles | bob haack | tackle | linfield (ore.) row 4 : 420 | pittsburgh steelers | bill eppright | kicker | kent state row 5 : 421 | cincinnati bengals | terry story | tackle | georgia tech row 6 : 422 | boston patriots | george muse | linebacker | grambling row 7 : 423 | new orleans saints | chico kurzawski | defensive back | northwestern row 8 : 424 | detroit lions | gary steele | tight end | army row 9 : 425 | denver broncos | buster o'brien | quarterback | richmond row 10 : 426 | washington redskins | rich dobbert | defensive end | springfield (mass.) row 11 : 427 | miami dolphins | tom krallman | defensive end | xavier row 12 : 428 | green bay packers | john mack | running back | central missouri row 13 : 429 | new york giants | ken riley | linebacker | texas-arlington row 14 : 430 | houston oilers | hank autry | center | southern mississippi row 15 : 431 | chicago bears | bob long | wide receiver | texas a&m row 16 : 432 | san francisco 49ers | joe rushing | linebacker | memphis state row 17 : 433 | minnesota vikings | wendell housely | running back | texas a&m row 18 : 434 | san diego chargers | larry rentz | defensive back | florida row 19 : 435 | st. louis cardinals | george hummer | center | arizona state row 20 : 436 | cleveland browns | bob oliver | defensive end | abilene christian row 21 : 437 | los angeles rams | jim thorpe | defensive back | hofstra row 22 : 438 | kansas city chiefs | ralph jenkins | defensive back | tuskegee row 23 : 439 | dallas cowboys | bill bailey | defensive tackle | lewis & clark row 24 : 440 | oakland raiders | billy austin | tight end | arkansas am&n row 25 : 441 | baltimore colts | joe cowan | wide receiver | johns hopkins row 26 : 442 | new york jets | fred zirkie | defensive tackle | duke | col : nfl team row 1 : miami dolphins | select nfl team where college = 'xavier' <table_name> : table \begin{tabular}{llllll}
\toprule
& pick # & nfl team & player & position & college \\
\midrule
0 & 417 & buffalo bills & wayne lineberry & linebacker & east carolina \\
1 & 418 & atlanta falcons & paul williams & running back & california \\
2 & 419 & philadelphia eagles & bob haack & tackle & linfield (ore.) \\
3 & 420 & pittsburgh steelers & bill eppright & kicker & kent state \\
4 & 421 & cincinnati bengals & terry story & tackle & georgia tech \\
5 & 422 & boston patriots & george muse & linebacker & grambling \\
6 & 423 & new orleans saints & chico kurzawski & defensive back & northwestern \\
7 & 424 & detroit lions & gary steele & tight end & army \\
8 & 425 & denver broncos & buster o'brien & quarterback & richmond \\
9 & 426 & washington redskins & rich dobbert & defensive end & springfield (mass.) \\
10 & 427 & miami dolphins & tom krallman & defensive end & xavier \\
11 & 428 & green bay packers & john mack & running back & central missouri \\
12 & 429 & new york giants & ken riley & linebacker & texas-arlington \\
13 & 430 & houston oilers & hank autry & center & southern mississippi \\
14 & 431 & chicago bears & bob long & wide receiver & texas a&m \\
15 & 432 & san francisco 49ers & joe rushing & linebacker & memphis state \\
16 & 433 & minnesota vikings & wendell housely & running back & texas a&m \\
17 & 434 & san diego chargers & larry rentz & defensive back & florida \\
18 & 435 & st. louis cardinals & george hummer & center & arizona state \\
19 & 436 & cleveland browns & bob oliver & defensive end & abilene christian \\
20 & 437 & los angeles rams & jim thorpe & defensive back & hofstra \\
21 & 438 & kansas city chiefs & ralph jenkins & defensive back & tuskegee \\
22 & 439 & dallas cowboys & bill bailey & defensive tackle & lewis & clark \\
23 & 440 & oakland raiders & billy austin & tight end & arkansas am&n \\
24 & 441 & baltimore colts & joe cowan & wide receiver & johns hopkins \\
25 & 442 & new york jets & fred zirkie & defensive tackle & duke \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& nfl team \\
\midrule
0 & miami dolphins \\
\bottomrule
\end{tabular}
| select nfl team where college = 'xavier' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>pick #</th>
<th>nfl team</th>
<th>player</th>
<th>position</th>
<th>college</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>417</td>
<td>buffalo bills</td>
<td>wayne lineberry</td>
<td>linebacker</td>
<td>east carolina</td>
</tr>
<tr>
<th>1</th>
<td>418</td>
<td>atlanta falcons</td>
<td>paul williams</td>
<td>running back</td>
<td>california</td>
</tr>
<tr>
<th>2</th>
<td>419</td>
<td>philadelphia eagles</td>
<td>bob haack</td>
<td>tackle</td>
<td>linfield (ore.)</td>
</tr>
<tr>
<th>3</th>
<td>420</td>
<td>pittsburgh steelers</td>
<td>bill eppright</td>
<td>kicker</td>
<td>kent state</td>
</tr>
<tr>
<th>4</th>
<td>421</td>
<td>cincinnati bengals</td>
<td>terry story</td>
<td>tackle</td>
<td>georgia tech</td>
</tr>
<tr>
<th>5</th>
<td>422</td>
<td>boston patriots</td>
<td>george muse</td>
<td>linebacker</td>
<td>grambling</td>
</tr>
<tr>
<th>6</th>
<td>423</td>
<td>new orleans saints</td>
<td>chico kurzawski</td>
<td>defensive back</td>
<td>northwestern</td>
</tr>
<tr>
<th>7</th>
<td>424</td>
<td>detroit lions</td>
<td>gary steele</td>
<td>tight end</td>
<td>army</td>
</tr>
<tr>
<th>8</th>
<td>425</td>
<td>denver broncos</td>
<td>buster o'brien</td>
<td>quarterback</td>
<td>richmond</td>
</tr>
<tr>
<th>9</th>
<td>426</td>
<td>washington redskins</td>
<td>rich dobbert</td>
<td>defensive end</td>
<td>springfield (mass.)</td>
</tr>
<tr>
<th>10</th>
<td>427</td>
<td>miami dolphins</td>
<td>tom krallman</td>
<td>defensive end</td>
<td>xavier</td>
</tr>
<tr>
<th>11</th>
<td>428</td>
<td>green bay packers</td>
<td>john mack</td>
<td>running back</td>
<td>central missouri</td>
</tr>
<tr>
<th>12</th>
<td>429</td>
<td>new york giants</td>
<td>ken riley</td>
<td>linebacker</td>
<td>texas-arlington</td>
</tr>
<tr>
<th>13</th>
<td>430</td>
<td>houston oilers</td>
<td>hank autry</td>
<td>center</td>
<td>southern mississippi</td>
</tr>
<tr>
<th>14</th>
<td>431</td>
<td>chicago bears</td>
<td>bob long</td>
<td>wide receiver</td>
<td>texas a&m</td>
</tr>
<tr>
<th>15</th>
<td>432</td>
<td>san francisco 49ers</td>
<td>joe rushing</td>
<td>linebacker</td>
<td>memphis state</td>
</tr>
<tr>
<th>16</th>
<td>433</td>
<td>minnesota vikings</td>
<td>wendell housely</td>
<td>running back</td>
<td>texas a&m</td>
</tr>
<tr>
<th>17</th>
<td>434</td>
<td>san diego chargers</td>
<td>larry rentz</td>
<td>defensive back</td>
<td>florida</td>
</tr>
<tr>
<th>18</th>
<td>435</td>
<td>st. louis cardinals</td>
<td>george hummer</td>
<td>center</td>
<td>arizona state</td>
</tr>
<tr>
<th>19</th>
<td>436</td>
<td>cleveland browns</td>
<td>bob oliver</td>
<td>defensive end</td>
<td>abilene christian</td>
</tr>
<tr>
<th>20</th>
<td>437</td>
<td>los angeles rams</td>
<td>jim thorpe</td>
<td>defensive back</td>
<td>hofstra</td>
</tr>
<tr>
<th>21</th>
<td>438</td>
<td>kansas city chiefs</td>
<td>ralph jenkins</td>
<td>defensive back</td>
<td>tuskegee</td>
</tr>
<tr>
<th>22</th>
<td>439</td>
<td>dallas cowboys</td>
<td>bill bailey</td>
<td>defensive tackle</td>
<td>lewis & clark</td>
</tr>
<tr>
<th>23</th>
<td>440</td>
<td>oakland raiders</td>
<td>billy austin</td>
<td>tight end</td>
<td>arkansas am&n</td>
</tr>
<tr>
<th>24</th>
<td>441</td>
<td>baltimore colts</td>
<td>joe cowan</td>
<td>wide receiver</td>
<td>johns hopkins</td>
</tr>
<tr>
<th>25</th>
<td>442</td>
<td>new york jets</td>
<td>fred zirkie</td>
<td>defensive tackle</td>
<td>duke</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>nfl team</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>miami dolphins</td>
</tr>
</tbody>
</table> | select nfl team where college = 'xavier' <table_name> : table | | pick # | nfl team | player | position | college |
|---:|---------:|:--------------------|:----------------|:-----------------|:---------------------|
| 0 | 417 | buffalo bills | wayne lineberry | linebacker | east carolina |
| 1 | 418 | atlanta falcons | paul williams | running back | california |
| 2 | 419 | philadelphia eagles | bob haack | tackle | linfield (ore.) |
| 3 | 420 | pittsburgh steelers | bill eppright | kicker | kent state |
| 4 | 421 | cincinnati bengals | terry story | tackle | georgia tech |
| 5 | 422 | boston patriots | george muse | linebacker | grambling |
| 6 | 423 | new orleans saints | chico kurzawski | defensive back | northwestern |
| 7 | 424 | detroit lions | gary steele | tight end | army |
| 8 | 425 | denver broncos | buster o'brien | quarterback | richmond |
| 9 | 426 | washington redskins | rich dobbert | defensive end | springfield (mass.) |
| 10 | 427 | miami dolphins | tom krallman | defensive end | xavier |
| 11 | 428 | green bay packers | john mack | running back | central missouri |
| 12 | 429 | new york giants | ken riley | linebacker | texas-arlington |
| 13 | 430 | houston oilers | hank autry | center | southern mississippi |
| 14 | 431 | chicago bears | bob long | wide receiver | texas a&m |
| 15 | 432 | san francisco 49ers | joe rushing | linebacker | memphis state |
| 16 | 433 | minnesota vikings | wendell housely | running back | texas a&m |
| 17 | 434 | san diego chargers | larry rentz | defensive back | florida |
| 18 | 435 | st. louis cardinals | george hummer | center | arizona state |
| 19 | 436 | cleveland browns | bob oliver | defensive end | abilene christian |
| 20 | 437 | los angeles rams | jim thorpe | defensive back | hofstra |
| 21 | 438 | kansas city chiefs | ralph jenkins | defensive back | tuskegee |
| 22 | 439 | dallas cowboys | bill bailey | defensive tackle | lewis & clark |
| 23 | 440 | oakland raiders | billy austin | tight end | arkansas am&n |
| 24 | 441 | baltimore colts | joe cowan | wide receiver | johns hopkins |
| 25 | 442 | new york jets | fred zirkie | defensive tackle | duke | | | | nfl team |
|---:|:---------------|
| 0 | miami dolphins | | [
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select position where royal household = 'master of the horse' col : position | officer | current officers | superseded by | royal household row 1 : 1 | lord high steward | vacant | justiciar | lord steward row 2 : 2 | lord high chancellor | the rt hon chris grayling, mp | none | none row 3 : 3 | lord high treasurer | in commission | none | none row 4 : 4 | lord president of the council | the rt hon nick clegg, mp | none | none row 5 : 5 | lord privy seal | the rt hon andrew lansley, cbe, mp | none | none row 6 : 6 | lord great chamberlain | the marquess of cholmondeley | lord high treasurer | lord chamberlain row 7 : 7 | lord high constable | vacant | earl marshal | master of the horse row 8 : 8 | earl marshal | the duke of norfolk | none | master of the horse row 9 : 9 | lord high admiral | hrh the duke of edinburgh | none | none | col : position row 1 : 7 row 2 : 8 | select position where royal household = 'master of the horse' <table_name> : table \begin{tabular}{llllll}
\toprule
& position & officer & current officers & superseded by & royal household \\
\midrule
0 & 1 & lord high steward & vacant & justiciar & lord steward \\
1 & 2 & lord high chancellor & the rt hon chris grayling, mp & none & none \\
2 & 3 & lord high treasurer & in commission & none & none \\
3 & 4 & lord president of the council & the rt hon nick clegg, mp & none & none \\
4 & 5 & lord privy seal & the rt hon andrew lansley, cbe, mp & none & none \\
5 & 6 & lord great chamberlain & the marquess of cholmondeley & lord high treasurer & lord chamberlain \\
6 & 7 & lord high constable & vacant & earl marshal & master of the horse \\
7 & 8 & earl marshal & the duke of norfolk & none & master of the horse \\
8 & 9 & lord high admiral & hrh the duke of edinburgh & none & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& position \\
\midrule
0 & 7 \\
1 & 8 \\
\bottomrule
\end{tabular}
| select position where royal household = 'master of the horse' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>position</th>
<th>officer</th>
<th>current officers</th>
<th>superseded by</th>
<th>royal household</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>lord high steward</td>
<td>vacant</td>
<td>justiciar</td>
<td>lord steward</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>lord high chancellor</td>
<td>the rt hon chris grayling, mp</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>lord high treasurer</td>
<td>in commission</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>lord president of the council</td>
<td>the rt hon nick clegg, mp</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>lord privy seal</td>
<td>the rt hon andrew lansley, cbe, mp</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>lord great chamberlain</td>
<td>the marquess of cholmondeley</td>
<td>lord high treasurer</td>
<td>lord chamberlain</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>lord high constable</td>
<td>vacant</td>
<td>earl marshal</td>
<td>master of the horse</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>earl marshal</td>
<td>the duke of norfolk</td>
<td>none</td>
<td>master of the horse</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>lord high admiral</td>
<td>hrh the duke of edinburgh</td>
<td>none</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>7</td>
</tr>
<tr>
<th>1</th>
<td>8</td>
</tr>
</tbody>
</table> | select position where royal household = 'master of the horse' <table_name> : table | | position | officer | current officers | superseded by | royal household |
|---:|-----------:|:------------------------------|:-----------------------------------|:--------------------|:--------------------|
| 0 | 1 | lord high steward | vacant | justiciar | lord steward |
| 1 | 2 | lord high chancellor | the rt hon chris grayling, mp | none | none |
| 2 | 3 | lord high treasurer | in commission | none | none |
| 3 | 4 | lord president of the council | the rt hon nick clegg, mp | none | none |
| 4 | 5 | lord privy seal | the rt hon andrew lansley, cbe, mp | none | none |
| 5 | 6 | lord great chamberlain | the marquess of cholmondeley | lord high treasurer | lord chamberlain |
| 6 | 7 | lord high constable | vacant | earl marshal | master of the horse |
| 7 | 8 | earl marshal | the duke of norfolk | none | master of the horse |
| 8 | 9 | lord high admiral | hrh the duke of edinburgh | none | none | | | | position |
|---:|-----------:|
| 0 | 7 |
| 1 | 8 | | [
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select venue where # = 2 col : # | date | venue | opponent | score | result | competition row 1 : 1 | 1999-03-27 00:00:00 | mestalla, valencia, spain | austria | 3-0 | 9-0 | euro 2000 qualifying row 2 : 2 | 1999-03-27 00:00:00 | mestalla, valencia, spain | austria | 5-0 | 9-0 | euro 2000 qualifying row 3 : 3 | 1999-03-31 00:00:00 | olimpico, serravalle, san marino | san marino | 0-3 | 0-6 | euro 2000 qualifying row 4 : 4 | 1999-09-08 00:00:00 | vivero, badajoz, spain | cyprus | 1-0 | 8-0 | euro 2000 qualifying row 5 : 5 | 1999-09-08 00:00:00 | vivero, badajoz, spain | cyprus | 2-0 | 8-0 | euro 2000 qualifying row 6 : 6 | 1999-09-08 00:00:00 | vivero, badajoz, spain | cyprus | 4-0 | 8-0 | euro 2000 qualifying row 7 : 7 | 2000-01-26 00:00:00 | cartagonova, cartagena, spain | poland | 2-0 | 3-0 | friendly row 8 : 8 | 2000-01-26 00:00:00 | cartagonova, cartagena, spain | poland | 3-0 | 3-0 | friendly | col : venue row 1 : mestalla, valencia, spain | select venue where # = 2 <table_name> : table \begin{tabular}{llllllll}
\toprule
& # & date & venue & opponent & score & result & competition \\
\midrule
0 & 1 & 1999-03-27 00:00:00 & mestalla, valencia, spain & austria & 3-0 & 9-0 & euro 2000 qualifying \\
1 & 2 & 1999-03-27 00:00:00 & mestalla, valencia, spain & austria & 5-0 & 9-0 & euro 2000 qualifying \\
2 & 3 & 1999-03-31 00:00:00 & olimpico, serravalle, san marino & san marino & 0-3 & 0-6 & euro 2000 qualifying \\
3 & 4 & 1999-09-08 00:00:00 & vivero, badajoz, spain & cyprus & 1-0 & 8-0 & euro 2000 qualifying \\
4 & 5 & 1999-09-08 00:00:00 & vivero, badajoz, spain & cyprus & 2-0 & 8-0 & euro 2000 qualifying \\
5 & 6 & 1999-09-08 00:00:00 & vivero, badajoz, spain & cyprus & 4-0 & 8-0 & euro 2000 qualifying \\
6 & 7 & 2000-01-26 00:00:00 & cartagonova, cartagena, spain & poland & 2-0 & 3-0 & friendly \\
7 & 8 & 2000-01-26 00:00:00 & cartagonova, cartagena, spain & poland & 3-0 & 3-0 & friendly \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& venue \\
\midrule
0 & mestalla, valencia, spain \\
\bottomrule
\end{tabular}
| select venue where # = 2 <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>1999-03-27 00:00:00</td>
<td>mestalla, valencia, spain</td>
<td>austria</td>
<td>3-0</td>
<td>9-0</td>
<td>euro 2000 qualifying</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>1999-03-27 00:00:00</td>
<td>mestalla, valencia, spain</td>
<td>austria</td>
<td>5-0</td>
<td>9-0</td>
<td>euro 2000 qualifying</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>1999-03-31 00:00:00</td>
<td>olimpico, serravalle, san marino</td>
<td>san marino</td>
<td>0-3</td>
<td>0-6</td>
<td>euro 2000 qualifying</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>1999-09-08 00:00:00</td>
<td>vivero, badajoz, spain</td>
<td>cyprus</td>
<td>1-0</td>
<td>8-0</td>
<td>euro 2000 qualifying</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>1999-09-08 00:00:00</td>
<td>vivero, badajoz, spain</td>
<td>cyprus</td>
<td>2-0</td>
<td>8-0</td>
<td>euro 2000 qualifying</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>1999-09-08 00:00:00</td>
<td>vivero, badajoz, spain</td>
<td>cyprus</td>
<td>4-0</td>
<td>8-0</td>
<td>euro 2000 qualifying</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>2000-01-26 00:00:00</td>
<td>cartagonova, cartagena, spain</td>
<td>poland</td>
<td>2-0</td>
<td>3-0</td>
<td>friendly</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>2000-01-26 00:00:00</td>
<td>cartagonova, cartagena, spain</td>
<td>poland</td>
<td>3-0</td>
<td>3-0</td>
<td>friendly</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>mestalla, valencia, spain</td>
</tr>
</tbody>
</table> | select venue where # = 2 <table_name> : table | | # | date | venue | opponent | score | result | competition |
|---:|----:|:--------------------|:---------------------------------|:-----------|:--------|:---------|:---------------------|
| 0 | 1 | 1999-03-27 00:00:00 | mestalla, valencia, spain | austria | 3-0 | 9-0 | euro 2000 qualifying |
| 1 | 2 | 1999-03-27 00:00:00 | mestalla, valencia, spain | austria | 5-0 | 9-0 | euro 2000 qualifying |
| 2 | 3 | 1999-03-31 00:00:00 | olimpico, serravalle, san marino | san marino | 0-3 | 0-6 | euro 2000 qualifying |
| 3 | 4 | 1999-09-08 00:00:00 | vivero, badajoz, spain | cyprus | 1-0 | 8-0 | euro 2000 qualifying |
| 4 | 5 | 1999-09-08 00:00:00 | vivero, badajoz, spain | cyprus | 2-0 | 8-0 | euro 2000 qualifying |
| 5 | 6 | 1999-09-08 00:00:00 | vivero, badajoz, spain | cyprus | 4-0 | 8-0 | euro 2000 qualifying |
| 6 | 7 | 2000-01-26 00:00:00 | cartagonova, cartagena, spain | poland | 2-0 | 3-0 | friendly |
| 7 | 8 | 2000-01-26 00:00:00 | cartagonova, cartagena, spain | poland | 3-0 | 3-0 | friendly | | | | venue |
|---:|:--------------------------|
| 0 | mestalla, valencia, spain | | [
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select massif where massif = 'stuzhytsia / uzhok' col : # | massif | region | type of nature reserve | preserved area | buffer zone row 1 : 1 | chornohora | zakarpattia | carpathian biosphere reserve | 2476.8 ha | 12925 ha row 2 : 2 | uholka / wide meadow | zakarpattia | carpathian biosphere reserve | 11860 ha | 3301 ha row 3 : 3 | svydovets | zakarpattia | carpathian biosphere reserve | 3030.5 ha | 5639.5 ha row 4 : 4 | maramoros | zakarpattia | carpathian biosphere reserve | 2243.6 ha | 6230.4 ha row 5 : 5 | kuziy / trybushany | zakarpattia | carpathian biosphere reserve | 1369.6 ha | 3163.4 ha row 6 : 6 | stuzhytsia / uzhok | zakarpattia | uzh national nature park | 2532 ha | 3615 ha row 7 : 7 | stuzica / bukovske vrchy | presov | poloniny national park | 2950 ha | 11300 ha row 8 : 8 | rozok | presov | presov preserved areas | 67.1 ha | 41.4 ha row 9 : 9 | vihorlat | presov | presov preserved areas | 2578 ha | 2413 ha row 10 : 10 | havesova | presov | presov preserved areas | 171.3 ha | 63.9 ha row 11 : 11 | jasmund | mecklenburg-vorpommern | jasmund national park | 492.5 ha | 2510.5 ha row 12 : 12 | serrahn | mecklenburg-vorpommern | muritz national park | 268.1 ha | 2568 ha row 13 : 13 | grumsiner forest | brandenburg | grumsiner forest nature reserve | 590.1 ha | 274.3 ha row 14 : 14 | hainich | thuringia | hainich national park | 1573.4 ha | 4085.4 ha row 15 : 15 | kellerwald | hesse | kellerwald-edersee national park | 1467.1 ha | 4271.4 ha | col : massif row 1 : stuzhytsia / uzhok | select massif where massif = 'stuzhytsia / uzhok' <table_name> : table \begin{tabular}{lllllll}
\toprule
& # & massif & region & type of nature reserve & preserved area & buffer zone \\
\midrule
0 & 1 & chornohora & zakarpattia & carpathian biosphere reserve & 2476.8 ha & 12925 ha \\
1 & 2 & uholka / wide meadow & zakarpattia & carpathian biosphere reserve & 11860 ha & 3301 ha \\
2 & 3 & svydovets & zakarpattia & carpathian biosphere reserve & 3030.5 ha & 5639.5 ha \\
3 & 4 & maramoros & zakarpattia & carpathian biosphere reserve & 2243.6 ha & 6230.4 ha \\
4 & 5 & kuziy / trybushany & zakarpattia & carpathian biosphere reserve & 1369.6 ha & 3163.4 ha \\
5 & 6 & stuzhytsia / uzhok & zakarpattia & uzh national nature park & 2532 ha & 3615 ha \\
6 & 7 & stuzica / bukovske vrchy & presov & poloniny national park & 2950 ha & 11300 ha \\
7 & 8 & rozok & presov & presov preserved areas & 67.1 ha & 41.4 ha \\
8 & 9 & vihorlat & presov & presov preserved areas & 2578 ha & 2413 ha \\
9 & 10 & havesova & presov & presov preserved areas & 171.3 ha & 63.9 ha \\
10 & 11 & jasmund & mecklenburg-vorpommern & jasmund national park & 492.5 ha & 2510.5 ha \\
11 & 12 & serrahn & mecklenburg-vorpommern & muritz national park & 268.1 ha & 2568 ha \\
12 & 13 & grumsiner forest & brandenburg & grumsiner forest nature reserve & 590.1 ha & 274.3 ha \\
13 & 14 & hainich & thuringia & hainich national park & 1573.4 ha & 4085.4 ha \\
14 & 15 & kellerwald & hesse & kellerwald-edersee national park & 1467.1 ha & 4271.4 ha \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& massif \\
\midrule
0 & stuzhytsia / uzhok \\
\bottomrule
\end{tabular}
| select massif where massif = 'stuzhytsia / uzhok' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>#</th>
<th>massif</th>
<th>region</th>
<th>type of nature reserve</th>
<th>preserved area</th>
<th>buffer zone</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>chornohora</td>
<td>zakarpattia</td>
<td>carpathian biosphere reserve</td>
<td>2476.8 ha</td>
<td>12925 ha</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>uholka / wide meadow</td>
<td>zakarpattia</td>
<td>carpathian biosphere reserve</td>
<td>11860 ha</td>
<td>3301 ha</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>svydovets</td>
<td>zakarpattia</td>
<td>carpathian biosphere reserve</td>
<td>3030.5 ha</td>
<td>5639.5 ha</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>maramoros</td>
<td>zakarpattia</td>
<td>carpathian biosphere reserve</td>
<td>2243.6 ha</td>
<td>6230.4 ha</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>kuziy / trybushany</td>
<td>zakarpattia</td>
<td>carpathian biosphere reserve</td>
<td>1369.6 ha</td>
<td>3163.4 ha</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>stuzhytsia / uzhok</td>
<td>zakarpattia</td>
<td>uzh national nature park</td>
<td>2532 ha</td>
<td>3615 ha</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>stuzica / bukovske vrchy</td>
<td>presov</td>
<td>poloniny national park</td>
<td>2950 ha</td>
<td>11300 ha</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>rozok</td>
<td>presov</td>
<td>presov preserved areas</td>
<td>67.1 ha</td>
<td>41.4 ha</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>vihorlat</td>
<td>presov</td>
<td>presov preserved areas</td>
<td>2578 ha</td>
<td>2413 ha</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>havesova</td>
<td>presov</td>
<td>presov preserved areas</td>
<td>171.3 ha</td>
<td>63.9 ha</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>jasmund</td>
<td>mecklenburg-vorpommern</td>
<td>jasmund national park</td>
<td>492.5 ha</td>
<td>2510.5 ha</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>serrahn</td>
<td>mecklenburg-vorpommern</td>
<td>muritz national park</td>
<td>268.1 ha</td>
<td>2568 ha</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>grumsiner forest</td>
<td>brandenburg</td>
<td>grumsiner forest nature reserve</td>
<td>590.1 ha</td>
<td>274.3 ha</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>hainich</td>
<td>thuringia</td>
<td>hainich national park</td>
<td>1573.4 ha</td>
<td>4085.4 ha</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>kellerwald</td>
<td>hesse</td>
<td>kellerwald-edersee national park</td>
<td>1467.1 ha</td>
<td>4271.4 ha</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>massif</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>stuzhytsia / uzhok</td>
</tr>
</tbody>
</table> | select massif where massif = 'stuzhytsia / uzhok' <table_name> : table | | # | massif | region | type of nature reserve | preserved area | buffer zone |
|---:|----:|:-------------------------|:-----------------------|:---------------------------------|:-----------------|:--------------|
| 0 | 1 | chornohora | zakarpattia | carpathian biosphere reserve | 2476.8 ha | 12925 ha |
| 1 | 2 | uholka / wide meadow | zakarpattia | carpathian biosphere reserve | 11860 ha | 3301 ha |
| 2 | 3 | svydovets | zakarpattia | carpathian biosphere reserve | 3030.5 ha | 5639.5 ha |
| 3 | 4 | maramoros | zakarpattia | carpathian biosphere reserve | 2243.6 ha | 6230.4 ha |
| 4 | 5 | kuziy / trybushany | zakarpattia | carpathian biosphere reserve | 1369.6 ha | 3163.4 ha |
| 5 | 6 | stuzhytsia / uzhok | zakarpattia | uzh national nature park | 2532 ha | 3615 ha |
| 6 | 7 | stuzica / bukovske vrchy | presov | poloniny national park | 2950 ha | 11300 ha |
| 7 | 8 | rozok | presov | presov preserved areas | 67.1 ha | 41.4 ha |
| 8 | 9 | vihorlat | presov | presov preserved areas | 2578 ha | 2413 ha |
| 9 | 10 | havesova | presov | presov preserved areas | 171.3 ha | 63.9 ha |
| 10 | 11 | jasmund | mecklenburg-vorpommern | jasmund national park | 492.5 ha | 2510.5 ha |
| 11 | 12 | serrahn | mecklenburg-vorpommern | muritz national park | 268.1 ha | 2568 ha |
| 12 | 13 | grumsiner forest | brandenburg | grumsiner forest nature reserve | 590.1 ha | 274.3 ha |
| 13 | 14 | hainich | thuringia | hainich national park | 1573.4 ha | 4085.4 ha |
| 14 | 15 | kellerwald | hesse | kellerwald-edersee national park | 1467.1 ha | 4271.4 ha | | | | massif |
|---:|:-------------------|
| 0 | stuzhytsia / uzhok | | [
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select time where heat = 'sf 1' col : heat | time | pos | rider | country row 1 : sf 1 | 2nd race: 12.101 s 3rd race: 12.185 s | 1 | lori-ann muenzer | canada row 2 : sf 1 | 1st race: 11.802 s | 2 | anna meares | australia row 3 : sf 2 | 2nd race: 11.965 s 3rd race: 11.894 s | 1 | tamilla abassova | russia row 4 : sf 2 | 1st race: 11.893 s | 2 | svetlana grankovskaya | russia | col : time row 1 : 2nd race: 12.101 s 3rd race: 12.185 s row 2 : 1st race: 11.802 s | select time where heat = 'sf 1' <table_name> : table \begin{tabular}{llllll}
\toprule
& heat & time & pos & rider & country \\
\midrule
0 & sf 1 & 2nd race: 12.101 s 3rd race: 12.185 s & 1 & lori-ann muenzer & canada \\
1 & sf 1 & 1st race: 11.802 s & 2 & anna meares & australia \\
2 & sf 2 & 2nd race: 11.965 s 3rd race: 11.894 s & 1 & tamilla abassova & russia \\
3 & sf 2 & 1st race: 11.893 s & 2 & svetlana grankovskaya & russia \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& time \\
\midrule
0 & 2nd race: 12.101 s 3rd race: 12.185 s \\
1 & 1st race: 11.802 s \\
\bottomrule
\end{tabular}
| select time where heat = 'sf 1' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>heat</th>
<th>time</th>
<th>pos</th>
<th>rider</th>
<th>country</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>sf 1</td>
<td>2nd race: 12.101 s 3rd race: 12.185 s</td>
<td>1</td>
<td>lori-ann muenzer</td>
<td>canada</td>
</tr>
<tr>
<th>1</th>
<td>sf 1</td>
<td>1st race: 11.802 s</td>
<td>2</td>
<td>anna meares</td>
<td>australia</td>
</tr>
<tr>
<th>2</th>
<td>sf 2</td>
<td>2nd race: 11.965 s 3rd race: 11.894 s</td>
<td>1</td>
<td>tamilla abassova</td>
<td>russia</td>
</tr>
<tr>
<th>3</th>
<td>sf 2</td>
<td>1st race: 11.893 s</td>
<td>2</td>
<td>svetlana grankovskaya</td>
<td>russia</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>time</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2nd race: 12.101 s 3rd race: 12.185 s</td>
</tr>
<tr>
<th>1</th>
<td>1st race: 11.802 s</td>
</tr>
</tbody>
</table> | select time where heat = 'sf 1' <table_name> : table | | heat | time | pos | rider | country |
|---:|:-------|:--------------------------------------|------:|:----------------------|:----------|
| 0 | sf 1 | 2nd race: 12.101 s 3rd race: 12.185 s | 1 | lori-ann muenzer | canada |
| 1 | sf 1 | 1st race: 11.802 s | 2 | anna meares | australia |
| 2 | sf 2 | 2nd race: 11.965 s 3rd race: 11.894 s | 1 | tamilla abassova | russia |
| 3 | sf 2 | 1st race: 11.893 s | 2 | svetlana grankovskaya | russia | | | | time |
|---:|:--------------------------------------|
| 0 | 2nd race: 12.101 s 3rd race: 12.185 s |
| 1 | 1st race: 11.802 s | | [
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select year where b-sides = 'again (acoustic)' col : year | title | album | uk | b-sides row 1 : 2004 | "kim wilde" (download-only) | grey will fade | none | none row 2 : 2004 | "summer" | grey will fade | 31 | commodore; smut row 3 : 2005 | "bastardo" | grey will fade | 31 | 3 minutes; i am a kamera row 4 : 2006 | "behave" | the deep blue | 168 | mr. ed; cousteau (extended version); behave (luke smith clor remix) row 5 : 2007 | "i want you to know" | the deep blue | 108 | sister universe; suspiria row 6 : 2007 | "siberia" | the deep blue | none | last night; this is pop; i don't need anyone row 7 : 2007 | "again" | the deep blue | none | again (acoustic) row 8 : 2007 | "ch v fd (deep blue remixes)" | non-album single | none | dawn treader (fredmix); it isn't over (fredmix) row 9 : 2009 | "white" | new worlds | none | white (squarepusher remix); white (adem remix); white (heartbeat remix) row 10 : 2009 | "alexander" | new worlds | none | alexander (radio edit); alexander (blacknred remix) | col : year row 1 : 2007 | select year where b-sides = 'again (acoustic)' <table_name> : table \begin{tabular}{llllll}
\toprule
& year & title & album & uk & b-sides \\
\midrule
0 & 2004 & "kim wilde" (download-only) & grey will fade & none & none \\
1 & 2004 & "summer" & grey will fade & 31 & commodore; smut \\
2 & 2005 & "bastardo" & grey will fade & 31 & 3 minutes; i am a kamera \\
3 & 2006 & "behave" & the deep blue & 168 & mr. ed; cousteau (extended version); behave (luke smith clor remix) \\
4 & 2007 & "i want you to know" & the deep blue & 108 & sister universe; suspiria \\
5 & 2007 & "siberia" & the deep blue & none & last night; this is pop; i don't need anyone \\
6 & 2007 & "again" & the deep blue & none & again (acoustic) \\
7 & 2007 & "ch v fd (deep blue remixes)" & non-album single & none & dawn treader (fredmix); it isn't over (fredmix) \\
8 & 2009 & "white" & new worlds & none & white (squarepusher remix); white (adem remix); white (heartbeat remix) \\
9 & 2009 & "alexander" & new worlds & none & alexander (radio edit); alexander (blacknred remix) \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& year \\
\midrule
0 & 2007 \\
\bottomrule
\end{tabular}
| select year where b-sides = 'again (acoustic)' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>title</th>
<th>album</th>
<th>uk</th>
<th>b-sides</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2004</td>
<td>"kim wilde" (download-only)</td>
<td>grey will fade</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>2004</td>
<td>"summer"</td>
<td>grey will fade</td>
<td>31</td>
<td>commodore; smut</td>
</tr>
<tr>
<th>2</th>
<td>2005</td>
<td>"bastardo"</td>
<td>grey will fade</td>
<td>31</td>
<td>3 minutes; i am a kamera</td>
</tr>
<tr>
<th>3</th>
<td>2006</td>
<td>"behave"</td>
<td>the deep blue</td>
<td>168</td>
<td>mr. ed; cousteau (extended version); behave (luke smith clor remix)</td>
</tr>
<tr>
<th>4</th>
<td>2007</td>
<td>"i want you to know"</td>
<td>the deep blue</td>
<td>108</td>
<td>sister universe; suspiria</td>
</tr>
<tr>
<th>5</th>
<td>2007</td>
<td>"siberia"</td>
<td>the deep blue</td>
<td>none</td>
<td>last night; this is pop; i don't need anyone</td>
</tr>
<tr>
<th>6</th>
<td>2007</td>
<td>"again"</td>
<td>the deep blue</td>
<td>none</td>
<td>again (acoustic)</td>
</tr>
<tr>
<th>7</th>
<td>2007</td>
<td>"ch v fd (deep blue remixes)"</td>
<td>non-album single</td>
<td>none</td>
<td>dawn treader (fredmix); it isn't over (fredmix)</td>
</tr>
<tr>
<th>8</th>
<td>2009</td>
<td>"white"</td>
<td>new worlds</td>
<td>none</td>
<td>white (squarepusher remix); white (adem remix); white (heartbeat remix)</td>
</tr>
<tr>
<th>9</th>
<td>2009</td>
<td>"alexander"</td>
<td>new worlds</td>
<td>none</td>
<td>alexander (radio edit); alexander (blacknred remix)</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>2007</td>
</tr>
</tbody>
</table> | select year where b-sides = 'again (acoustic)' <table_name> : table | | year | title | album | uk | b-sides |
|---:|-------:|:------------------------------|:-----------------|:-----|:------------------------------------------------------------------------|
| 0 | 2004 | "kim wilde" (download-only) | grey will fade | none | none |
| 1 | 2004 | "summer" | grey will fade | 31 | commodore; smut |
| 2 | 2005 | "bastardo" | grey will fade | 31 | 3 minutes; i am a kamera |
| 3 | 2006 | "behave" | the deep blue | 168 | mr. ed; cousteau (extended version); behave (luke smith clor remix) |
| 4 | 2007 | "i want you to know" | the deep blue | 108 | sister universe; suspiria |
| 5 | 2007 | "siberia" | the deep blue | none | last night; this is pop; i don't need anyone |
| 6 | 2007 | "again" | the deep blue | none | again (acoustic) |
| 7 | 2007 | "ch v fd (deep blue remixes)" | non-album single | none | dawn treader (fredmix); it isn't over (fredmix) |
| 8 | 2009 | "white" | new worlds | none | white (squarepusher remix); white (adem remix); white (heartbeat remix) |
| 9 | 2009 | "alexander" | new worlds | none | alexander (radio edit); alexander (blacknred remix) | | | | year |
|---:|-------:|
| 0 | 2007 | | [
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select diameter where latitude = '6.9° n' col : al-khwarizmi | latitude | longitude | diameter row 1 : b | 9.0° n | 107.4° e | 62 km row 2 : g | 6.9° n | 107.1° e | 95 km row 3 : h | 6.0° n | 109.2° e | 50 km row 4 : j | 6.2° n | 107.6° e | 47 km row 5 : k | 4.6° n | 107.6° e | 26 km row 6 : l | 3.9° n | 107.4° e | 35 km row 7 : m | 3.1° n | 107.0° e | 18 km row 8 : t | 7.0° n | 104.5° e | 15 km | col : diameter row 1 : 95 km | select diameter where latitude = '6.9° n' <table_name> : table \begin{tabular}{lllll}
\toprule
& al-khwarizmi & latitude & longitude & diameter \\
\midrule
0 & b & 9.0° n & 107.4° e & 62 km \\
1 & g & 6.9° n & 107.1° e & 95 km \\
2 & h & 6.0° n & 109.2° e & 50 km \\
3 & j & 6.2° n & 107.6° e & 47 km \\
4 & k & 4.6° n & 107.6° e & 26 km \\
5 & l & 3.9° n & 107.4° e & 35 km \\
6 & m & 3.1° n & 107.0° e & 18 km \\
7 & t & 7.0° n & 104.5° e & 15 km \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& diameter \\
\midrule
0 & 95 km \\
\bottomrule
\end{tabular}
| select diameter where latitude = '6.9° n' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>al-khwarizmi</th>
<th>latitude</th>
<th>longitude</th>
<th>diameter</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>b</td>
<td>9.0° n</td>
<td>107.4° e</td>
<td>62 km</td>
</tr>
<tr>
<th>1</th>
<td>g</td>
<td>6.9° n</td>
<td>107.1° e</td>
<td>95 km</td>
</tr>
<tr>
<th>2</th>
<td>h</td>
<td>6.0° n</td>
<td>109.2° e</td>
<td>50 km</td>
</tr>
<tr>
<th>3</th>
<td>j</td>
<td>6.2° n</td>
<td>107.6° e</td>
<td>47 km</td>
</tr>
<tr>
<th>4</th>
<td>k</td>
<td>4.6° n</td>
<td>107.6° e</td>
<td>26 km</td>
</tr>
<tr>
<th>5</th>
<td>l</td>
<td>3.9° n</td>
<td>107.4° e</td>
<td>35 km</td>
</tr>
<tr>
<th>6</th>
<td>m</td>
<td>3.1° n</td>
<td>107.0° e</td>
<td>18 km</td>
</tr>
<tr>
<th>7</th>
<td>t</td>
<td>7.0° n</td>
<td>104.5° e</td>
<td>15 km</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>diameter</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>95 km</td>
</tr>
</tbody>
</table> | select diameter where latitude = '6.9° n' <table_name> : table | | al-khwarizmi | latitude | longitude | diameter |
|---:|:---------------|:-----------|:------------|:-----------|
| 0 | b | 9.0° n | 107.4° e | 62 km |
| 1 | g | 6.9° n | 107.1° e | 95 km |
| 2 | h | 6.0° n | 109.2° e | 50 km |
| 3 | j | 6.2° n | 107.6° e | 47 km |
| 4 | k | 4.6° n | 107.6° e | 26 km |
| 5 | l | 3.9° n | 107.4° e | 35 km |
| 6 | m | 3.1° n | 107.0° e | 18 km |
| 7 | t | 7.0° n | 104.5° e | 15 km | | | | diameter |
|---:|:-----------|
| 0 | 95 km | | [
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select count ( tower height in meters (ft) ) where established = 965 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 : count ( "tower height in meters (ft" ) row 1 : 0 | select count ( tower height in meters (ft) ) where established = 965 <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
& count ( "tower height in meters (ft" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( tower height in meters (ft) ) where established = 965 <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>count ( "tower height in meters (ft" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select count ( tower height in meters (ft) ) where established = 965 <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 | | | | count ( "tower height in meters (ft" ) |
|---:|-----------------------------------------:|
| 0 | 0 | | [
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select season where lead = 'janine greiner' col : season | skip | third | second | lead row 1 : 1996-97 | mirjam ott | marianne flotron manuela kormann | franziska von kanel | caroline balz row 2 : 2001-02 | luzia ebnother | mirjam ott | tanya frei | nadia rothlisberger laurence bidaud row 3 : 2004-05 | mirjam ott | binia beeli | brigitte schori | michele knobel row 4 : 2005-06 | mirjam ott | binia beeli | valeria spalty | michele moser row 5 : 2006-07 | mirjam ott | binia feltscher-beeli | valeria spalty | janine greiner row 6 : 2007-08 | mirjam ott | carmen schafer | valeria spalty | janine greiner row 7 : 2008-09 | mirjam ott | carmen schafer | valeria spalty | janine greiner row 8 : 2009-10 | mirjam ott | carmen schafer | carmen kung | janine greiner row 9 : 2010-11 | mirjam ott | carmen schafer | carmen kung | janine greiner row 10 : 2011-12 | mirjam ott | carmen schafer | carmen kung | janine greiner row 11 : 2012-13 | mirjam ott | carmen schafer | carmen kung | janine greiner row 12 : 2013-14 | mirjam ott | carmen schafer | carmen kung | janine greiner | col : season row 1 : 2006-07 row 2 : 2007-08 row 3 : 2008-09 row 4 : 2009-10 row 5 : 2010-11 row 6 : 2011-12 row 7 : 2012-13 row 8 : 2013-14 | select season where lead = 'janine greiner' <table_name> : table \begin{tabular}{llllll}
\toprule
& season & skip & third & second & lead \\
\midrule
0 & 1996-97 & mirjam ott & marianne flotron manuela kormann & franziska von kanel & caroline balz \\
1 & 2001-02 & luzia ebnother & mirjam ott & tanya frei & nadia rothlisberger laurence bidaud \\
2 & 2004-05 & mirjam ott & binia beeli & brigitte schori & michele knobel \\
3 & 2005-06 & mirjam ott & binia beeli & valeria spalty & michele moser \\
4 & 2006-07 & mirjam ott & binia feltscher-beeli & valeria spalty & janine greiner \\
5 & 2007-08 & mirjam ott & carmen schafer & valeria spalty & janine greiner \\
6 & 2008-09 & mirjam ott & carmen schafer & valeria spalty & janine greiner \\
7 & 2009-10 & mirjam ott & carmen schafer & carmen kung & janine greiner \\
8 & 2010-11 & mirjam ott & carmen schafer & carmen kung & janine greiner \\
9 & 2011-12 & mirjam ott & carmen schafer & carmen kung & janine greiner \\
10 & 2012-13 & mirjam ott & carmen schafer & carmen kung & janine greiner \\
11 & 2013-14 & mirjam ott & carmen schafer & carmen kung & janine greiner \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& season \\
\midrule
0 & 2006-07 \\
1 & 2007-08 \\
2 & 2008-09 \\
3 & 2009-10 \\
4 & 2010-11 \\
5 & 2011-12 \\
6 & 2012-13 \\
7 & 2013-14 \\
\bottomrule
\end{tabular}
| select season where lead = 'janine greiner' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>season</th>
<th>skip</th>
<th>third</th>
<th>second</th>
<th>lead</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1996-97</td>
<td>mirjam ott</td>
<td>marianne flotron manuela kormann</td>
<td>franziska von kanel</td>
<td>caroline balz</td>
</tr>
<tr>
<th>1</th>
<td>2001-02</td>
<td>luzia ebnother</td>
<td>mirjam ott</td>
<td>tanya frei</td>
<td>nadia rothlisberger laurence bidaud</td>
</tr>
<tr>
<th>2</th>
<td>2004-05</td>
<td>mirjam ott</td>
<td>binia beeli</td>
<td>brigitte schori</td>
<td>michele knobel</td>
</tr>
<tr>
<th>3</th>
<td>2005-06</td>
<td>mirjam ott</td>
<td>binia beeli</td>
<td>valeria spalty</td>
<td>michele moser</td>
</tr>
<tr>
<th>4</th>
<td>2006-07</td>
<td>mirjam ott</td>
<td>binia feltscher-beeli</td>
<td>valeria spalty</td>
<td>janine greiner</td>
</tr>
<tr>
<th>5</th>
<td>2007-08</td>
<td>mirjam ott</td>
<td>carmen schafer</td>
<td>valeria spalty</td>
<td>janine greiner</td>
</tr>
<tr>
<th>6</th>
<td>2008-09</td>
<td>mirjam ott</td>
<td>carmen schafer</td>
<td>valeria spalty</td>
<td>janine greiner</td>
</tr>
<tr>
<th>7</th>
<td>2009-10</td>
<td>mirjam ott</td>
<td>carmen schafer</td>
<td>carmen kung</td>
<td>janine greiner</td>
</tr>
<tr>
<th>8</th>
<td>2010-11</td>
<td>mirjam ott</td>
<td>carmen schafer</td>
<td>carmen kung</td>
<td>janine greiner</td>
</tr>
<tr>
<th>9</th>
<td>2011-12</td>
<td>mirjam ott</td>
<td>carmen schafer</td>
<td>carmen kung</td>
<td>janine greiner</td>
</tr>
<tr>
<th>10</th>
<td>2012-13</td>
<td>mirjam ott</td>
<td>carmen schafer</td>
<td>carmen kung</td>
<td>janine greiner</td>
</tr>
<tr>
<th>11</th>
<td>2013-14</td>
<td>mirjam ott</td>
<td>carmen schafer</td>
<td>carmen kung</td>
<td>janine greiner</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>season</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2006-07</td>
</tr>
<tr>
<th>1</th>
<td>2007-08</td>
</tr>
<tr>
<th>2</th>
<td>2008-09</td>
</tr>
<tr>
<th>3</th>
<td>2009-10</td>
</tr>
<tr>
<th>4</th>
<td>2010-11</td>
</tr>
<tr>
<th>5</th>
<td>2011-12</td>
</tr>
<tr>
<th>6</th>
<td>2012-13</td>
</tr>
<tr>
<th>7</th>
<td>2013-14</td>
</tr>
</tbody>
</table> | select season where lead = 'janine greiner' <table_name> : table | | season | skip | third | second | lead |
|---:|:---------|:---------------|:---------------------------------|:--------------------|:------------------------------------|
| 0 | 1996-97 | mirjam ott | marianne flotron manuela kormann | franziska von kanel | caroline balz |
| 1 | 2001-02 | luzia ebnother | mirjam ott | tanya frei | nadia rothlisberger laurence bidaud |
| 2 | 2004-05 | mirjam ott | binia beeli | brigitte schori | michele knobel |
| 3 | 2005-06 | mirjam ott | binia beeli | valeria spalty | michele moser |
| 4 | 2006-07 | mirjam ott | binia feltscher-beeli | valeria spalty | janine greiner |
| 5 | 2007-08 | mirjam ott | carmen schafer | valeria spalty | janine greiner |
| 6 | 2008-09 | mirjam ott | carmen schafer | valeria spalty | janine greiner |
| 7 | 2009-10 | mirjam ott | carmen schafer | carmen kung | janine greiner |
| 8 | 2010-11 | mirjam ott | carmen schafer | carmen kung | janine greiner |
| 9 | 2011-12 | mirjam ott | carmen schafer | carmen kung | janine greiner |
| 10 | 2012-13 | mirjam ott | carmen schafer | carmen kung | janine greiner |
| 11 | 2013-14 | mirjam ott | carmen schafer | carmen kung | janine greiner | | | | season |
|---:|:---------|
| 0 | 2006-07 |
| 1 | 2007-08 |
| 2 | 2008-09 |
| 3 | 2009-10 |
| 4 | 2010-11 |
| 5 | 2011-12 |
| 6 | 2012-13 |
| 7 | 2013-14 | | [
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select tier where place = '1st' col : season | tier | division | place row 1 : 1970-01 | 6 | regional | none row 2 : 2001/02 | 6 | 1a reg | none row 3 : 2002/03 | 5 | reg. pref | 11th row 4 : 2003/04 | 5 | reg. pref | 9th row 5 : 2004/05 | 5 | reg. pref | 1st row 6 : 2005/06 | 4 | 3a | 20th row 7 : 2006/07 | 5 | reg. pref | 3rd row 8 : 2007/08 | 5 | reg. pref | 1st row 9 : 2008/09 | 4 | 3a | 16th row 10 : 2009/10 | 4 | 3a | 17th row 11 : 2010/11 | 4 | 3a | 18th row 12 : 2011/12 | 5 | reg. pref | 2nd | col : tier row 1 : 5 row 2 : 5 | select tier where place = '1st' <table_name> : table \begin{tabular}{lllll}
\toprule
& season & tier & division & place \\
\midrule
0 & 1970-01 & 6 & regional & none \\
1 & 2001/02 & 6 & 1a reg & none \\
2 & 2002/03 & 5 & reg. pref & 11th \\
3 & 2003/04 & 5 & reg. pref & 9th \\
4 & 2004/05 & 5 & reg. pref & 1st \\
5 & 2005/06 & 4 & 3a & 20th \\
6 & 2006/07 & 5 & reg. pref & 3rd \\
7 & 2007/08 & 5 & reg. pref & 1st \\
8 & 2008/09 & 4 & 3a & 16th \\
9 & 2009/10 & 4 & 3a & 17th \\
10 & 2010/11 & 4 & 3a & 18th \\
11 & 2011/12 & 5 & reg. pref & 2nd \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& tier \\
\midrule
0 & 5 \\
1 & 5 \\
\bottomrule
\end{tabular}
| select tier where place = '1st' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>season</th>
<th>tier</th>
<th>division</th>
<th>place</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1970-01</td>
<td>6</td>
<td>regional</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>2001/02</td>
<td>6</td>
<td>1a reg</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>2002/03</td>
<td>5</td>
<td>reg. pref</td>
<td>11th</td>
</tr>
<tr>
<th>3</th>
<td>2003/04</td>
<td>5</td>
<td>reg. pref</td>
<td>9th</td>
</tr>
<tr>
<th>4</th>
<td>2004/05</td>
<td>5</td>
<td>reg. pref</td>
<td>1st</td>
</tr>
<tr>
<th>5</th>
<td>2005/06</td>
<td>4</td>
<td>3a</td>
<td>20th</td>
</tr>
<tr>
<th>6</th>
<td>2006/07</td>
<td>5</td>
<td>reg. pref</td>
<td>3rd</td>
</tr>
<tr>
<th>7</th>
<td>2007/08</td>
<td>5</td>
<td>reg. pref</td>
<td>1st</td>
</tr>
<tr>
<th>8</th>
<td>2008/09</td>
<td>4</td>
<td>3a</td>
<td>16th</td>
</tr>
<tr>
<th>9</th>
<td>2009/10</td>
<td>4</td>
<td>3a</td>
<td>17th</td>
</tr>
<tr>
<th>10</th>
<td>2010/11</td>
<td>4</td>
<td>3a</td>
<td>18th</td>
</tr>
<tr>
<th>11</th>
<td>2011/12</td>
<td>5</td>
<td>reg. pref</td>
<td>2nd</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>tier</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>5</td>
</tr>
<tr>
<th>1</th>
<td>5</td>
</tr>
</tbody>
</table> | select tier where place = '1st' <table_name> : table | | season | tier | division | place |
|---:|:---------|-------:|:-----------|:--------|
| 0 | 1970-01 | 6 | regional | none |
| 1 | 2001/02 | 6 | 1a reg | none |
| 2 | 2002/03 | 5 | reg. pref | 11th |
| 3 | 2003/04 | 5 | reg. pref | 9th |
| 4 | 2004/05 | 5 | reg. pref | 1st |
| 5 | 2005/06 | 4 | 3a | 20th |
| 6 | 2006/07 | 5 | reg. pref | 3rd |
| 7 | 2007/08 | 5 | reg. pref | 1st |
| 8 | 2008/09 | 4 | 3a | 16th |
| 9 | 2009/10 | 4 | 3a | 17th |
| 10 | 2010/11 | 4 | 3a | 18th |
| 11 | 2011/12 | 5 | reg. pref | 2nd | | | | tier |
|---:|-------:|
| 0 | 5 |
| 1 | 5 | | [
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select count ( title ) where album = 'after dark' col : year | title | peak chart positions us country | peak chart positions us | album row 1 : 1950 | "make up your mind" | none | none | non-album singles row 2 : 1950 | "how far is heaven" | none | none | non-album singles row 3 : 1952 | "glory land march" | none | none | non-album singles row 4 : 1952 | "it wasn't god who made honky tonk angels" | 1 | 27 | country hit parade row 5 : 1952 | "a wedding ring ago" | none | none | the kitty wells story row 6 : 1953 | "the things i might have been" | none | 22 | country hit parade row 7 : 1953 | "paying for that back street affair" | 6 | none | country hit parade row 8 : 1953 | "honky tonk waltz" | none | none | country heart row 9 : 1953 | "i don't claim to be an angel" | none | none | country hit parade row 10 : 1953 | "hey joe" | 8 | none | kitty wells' golden favorites row 11 : 1953 | "cheatin's a sin" | 9 | none | country hit parade row 12 : 1954 | "release me" | 8 | none | country hit parade row 13 : 1954 | "you're not so easy to forget" | none | none | after dark row 14 : 1954 | "thou shalt not steal" | 14 | none | kitty wells row 15 : 1955 | "making believe" | 2 | none | country hit parade row 16 : 1955 | "there's poison in your heart" | 9 | none | country hit parade row 17 : 1955 | "the lonely side of town" | 7 | none | after dark row 18 : 1956 | "how far is heaven" (with carol sue) | 11 | none | singing on sunday row 19 : 1956 | "searching (for someone like you)" | 3 | none | kitty wells' golden favorites row 20 : 1956 | "repenting" | 6 | none | kitty wells' golden favorites row 21 : 1957 | "three ways (to love you)" | 7 | none | kitty wells' golden favorites row 22 : 1957 | "(i'll always be your) fraulein" | 10 | none | kitty wells' golden favorites row 23 : 1958 | "i can't stop loving you" | 3 | none | kitty wells' golden favorites row 24 : 1958 | "jealousy" | 7 | 78 | kitty wells' golden favorites row 25 : 1958 | "touch and go heart" | 15 | none | the lonely side of town row 26 : 1959 | "mommy for a day" | 5 | none | kitty wells' golden favorites row 27 : 1959 | "your wild life's gonna get you down" | 12 | none | after dark row 28 : 1959 | "amigo's guitar" | 5 | none | seasons of my heart | col : count ( "title" ) row 1 : 3 | select count ( title ) where album = 'after dark' <table_name> : table \begin{tabular}{llllll}
\toprule
& year & title & peak chart positions us country & peak chart positions us & album \\
\midrule
0 & 1950 & "make up your mind" & none & none & non-album singles \\
1 & 1950 & "how far is heaven" & none & none & non-album singles \\
2 & 1952 & "glory land march" & none & none & non-album singles \\
3 & 1952 & "it wasn't god who made honky tonk angels" & 1 & 27 & country hit parade \\
4 & 1952 & "a wedding ring ago" & none & none & the kitty wells story \\
5 & 1953 & "the things i might have been" & none & 22 & country hit parade \\
6 & 1953 & "paying for that back street affair" & 6 & none & country hit parade \\
7 & 1953 & "honky tonk waltz" & none & none & country heart \\
8 & 1953 & "i don't claim to be an angel" & none & none & country hit parade \\
9 & 1953 & "hey joe" & 8 & none & kitty wells' golden favorites \\
10 & 1953 & "cheatin's a sin" & 9 & none & country hit parade \\
11 & 1954 & "release me" & 8 & none & country hit parade \\
12 & 1954 & "you're not so easy to forget" & none & none & after dark \\
13 & 1954 & "thou shalt not steal" & 14 & none & kitty wells \\
14 & 1955 & "making believe" & 2 & none & country hit parade \\
15 & 1955 & "there's poison in your heart" & 9 & none & country hit parade \\
16 & 1955 & "the lonely side of town" & 7 & none & after dark \\
17 & 1956 & "how far is heaven" (with carol sue) & 11 & none & singing on sunday \\
18 & 1956 & "searching (for someone like you)" & 3 & none & kitty wells' golden favorites \\
19 & 1956 & "repenting" & 6 & none & kitty wells' golden favorites \\
20 & 1957 & "three ways (to love you)" & 7 & none & kitty wells' golden favorites \\
21 & 1957 & "(i'll always be your) fraulein" & 10 & none & kitty wells' golden favorites \\
22 & 1958 & "i can't stop loving you" & 3 & none & kitty wells' golden favorites \\
23 & 1958 & "jealousy" & 7 & 78 & kitty wells' golden favorites \\
24 & 1958 & "touch and go heart" & 15 & none & the lonely side of town \\
25 & 1959 & "mommy for a day" & 5 & none & kitty wells' golden favorites \\
26 & 1959 & "your wild life's gonna get you down" & 12 & none & after dark \\
27 & 1959 & "amigo's guitar" & 5 & none & seasons of my heart \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "title" ) \\
\midrule
0 & 3 \\
\bottomrule
\end{tabular}
| select count ( title ) where album = 'after dark' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>title</th>
<th>peak chart positions us country</th>
<th>peak chart positions us</th>
<th>album</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1950</td>
<td>"make up your mind"</td>
<td>none</td>
<td>none</td>
<td>non-album singles</td>
</tr>
<tr>
<th>1</th>
<td>1950</td>
<td>"how far is heaven"</td>
<td>none</td>
<td>none</td>
<td>non-album singles</td>
</tr>
<tr>
<th>2</th>
<td>1952</td>
<td>"glory land march"</td>
<td>none</td>
<td>none</td>
<td>non-album singles</td>
</tr>
<tr>
<th>3</th>
<td>1952</td>
<td>"it wasn't god who made honky tonk angels"</td>
<td>1</td>
<td>27</td>
<td>country hit parade</td>
</tr>
<tr>
<th>4</th>
<td>1952</td>
<td>"a wedding ring ago"</td>
<td>none</td>
<td>none</td>
<td>the kitty wells story</td>
</tr>
<tr>
<th>5</th>
<td>1953</td>
<td>"the things i might have been"</td>
<td>none</td>
<td>22</td>
<td>country hit parade</td>
</tr>
<tr>
<th>6</th>
<td>1953</td>
<td>"paying for that back street affair"</td>
<td>6</td>
<td>none</td>
<td>country hit parade</td>
</tr>
<tr>
<th>7</th>
<td>1953</td>
<td>"honky tonk waltz"</td>
<td>none</td>
<td>none</td>
<td>country heart</td>
</tr>
<tr>
<th>8</th>
<td>1953</td>
<td>"i don't claim to be an angel"</td>
<td>none</td>
<td>none</td>
<td>country hit parade</td>
</tr>
<tr>
<th>9</th>
<td>1953</td>
<td>"hey joe"</td>
<td>8</td>
<td>none</td>
<td>kitty wells' golden favorites</td>
</tr>
<tr>
<th>10</th>
<td>1953</td>
<td>"cheatin's a sin"</td>
<td>9</td>
<td>none</td>
<td>country hit parade</td>
</tr>
<tr>
<th>11</th>
<td>1954</td>
<td>"release me"</td>
<td>8</td>
<td>none</td>
<td>country hit parade</td>
</tr>
<tr>
<th>12</th>
<td>1954</td>
<td>"you're not so easy to forget"</td>
<td>none</td>
<td>none</td>
<td>after dark</td>
</tr>
<tr>
<th>13</th>
<td>1954</td>
<td>"thou shalt not steal"</td>
<td>14</td>
<td>none</td>
<td>kitty wells</td>
</tr>
<tr>
<th>14</th>
<td>1955</td>
<td>"making believe"</td>
<td>2</td>
<td>none</td>
<td>country hit parade</td>
</tr>
<tr>
<th>15</th>
<td>1955</td>
<td>"there's poison in your heart"</td>
<td>9</td>
<td>none</td>
<td>country hit parade</td>
</tr>
<tr>
<th>16</th>
<td>1955</td>
<td>"the lonely side of town"</td>
<td>7</td>
<td>none</td>
<td>after dark</td>
</tr>
<tr>
<th>17</th>
<td>1956</td>
<td>"how far is heaven" (with carol sue)</td>
<td>11</td>
<td>none</td>
<td>singing on sunday</td>
</tr>
<tr>
<th>18</th>
<td>1956</td>
<td>"searching (for someone like you)"</td>
<td>3</td>
<td>none</td>
<td>kitty wells' golden favorites</td>
</tr>
<tr>
<th>19</th>
<td>1956</td>
<td>"repenting"</td>
<td>6</td>
<td>none</td>
<td>kitty wells' golden favorites</td>
</tr>
<tr>
<th>20</th>
<td>1957</td>
<td>"three ways (to love you)"</td>
<td>7</td>
<td>none</td>
<td>kitty wells' golden favorites</td>
</tr>
<tr>
<th>21</th>
<td>1957</td>
<td>"(i'll always be your) fraulein"</td>
<td>10</td>
<td>none</td>
<td>kitty wells' golden favorites</td>
</tr>
<tr>
<th>22</th>
<td>1958</td>
<td>"i can't stop loving you"</td>
<td>3</td>
<td>none</td>
<td>kitty wells' golden favorites</td>
</tr>
<tr>
<th>23</th>
<td>1958</td>
<td>"jealousy"</td>
<td>7</td>
<td>78</td>
<td>kitty wells' golden favorites</td>
</tr>
<tr>
<th>24</th>
<td>1958</td>
<td>"touch and go heart"</td>
<td>15</td>
<td>none</td>
<td>the lonely side of town</td>
</tr>
<tr>
<th>25</th>
<td>1959</td>
<td>"mommy for a day"</td>
<td>5</td>
<td>none</td>
<td>kitty wells' golden favorites</td>
</tr>
<tr>
<th>26</th>
<td>1959</td>
<td>"your wild life's gonna get you down"</td>
<td>12</td>
<td>none</td>
<td>after dark</td>
</tr>
<tr>
<th>27</th>
<td>1959</td>
<td>"amigo's guitar"</td>
<td>5</td>
<td>none</td>
<td>seasons of my heart</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>3</td>
</tr>
</tbody>
</table> | select count ( title ) where album = 'after dark' <table_name> : table | | year | title | peak chart positions us country | peak chart positions us | album |
|---:|-------:|:-------------------------------------------|:----------------------------------|:--------------------------|:------------------------------|
| 0 | 1950 | "make up your mind" | none | none | non-album singles |
| 1 | 1950 | "how far is heaven" | none | none | non-album singles |
| 2 | 1952 | "glory land march" | none | none | non-album singles |
| 3 | 1952 | "it wasn't god who made honky tonk angels" | 1 | 27 | country hit parade |
| 4 | 1952 | "a wedding ring ago" | none | none | the kitty wells story |
| 5 | 1953 | "the things i might have been" | none | 22 | country hit parade |
| 6 | 1953 | "paying for that back street affair" | 6 | none | country hit parade |
| 7 | 1953 | "honky tonk waltz" | none | none | country heart |
| 8 | 1953 | "i don't claim to be an angel" | none | none | country hit parade |
| 9 | 1953 | "hey joe" | 8 | none | kitty wells' golden favorites |
| 10 | 1953 | "cheatin's a sin" | 9 | none | country hit parade |
| 11 | 1954 | "release me" | 8 | none | country hit parade |
| 12 | 1954 | "you're not so easy to forget" | none | none | after dark |
| 13 | 1954 | "thou shalt not steal" | 14 | none | kitty wells |
| 14 | 1955 | "making believe" | 2 | none | country hit parade |
| 15 | 1955 | "there's poison in your heart" | 9 | none | country hit parade |
| 16 | 1955 | "the lonely side of town" | 7 | none | after dark |
| 17 | 1956 | "how far is heaven" (with carol sue) | 11 | none | singing on sunday |
| 18 | 1956 | "searching (for someone like you)" | 3 | none | kitty wells' golden favorites |
| 19 | 1956 | "repenting" | 6 | none | kitty wells' golden favorites |
| 20 | 1957 | "three ways (to love you)" | 7 | none | kitty wells' golden favorites |
| 21 | 1957 | "(i'll always be your) fraulein" | 10 | none | kitty wells' golden favorites |
| 22 | 1958 | "i can't stop loving you" | 3 | none | kitty wells' golden favorites |
| 23 | 1958 | "jealousy" | 7 | 78 | kitty wells' golden favorites |
| 24 | 1958 | "touch and go heart" | 15 | none | the lonely side of town |
| 25 | 1959 | "mommy for a day" | 5 | none | kitty wells' golden favorites |
| 26 | 1959 | "your wild life's gonna get you down" | 12 | none | after dark |
| 27 | 1959 | "amigo's guitar" | 5 | none | seasons of my heart | | | | count ( "title" ) |
|---:|--------------------:|
| 0 | 3 | | [
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select count ( * ) where season < 601 col : season | episodes | season premiere | season finale row 1 : 1 | 20 | march 4, 2006 | may 13, 2006 row 2 : 2 | 52 | october 7, 2006 | july 16, 2007 row 3 : 3 | 44 | october 15, 2007 | june 2, 2008 row 4 : 4 | 48 | october 13, 2008 | may 11, 2009 row 5 : 5 | 40 | october 12, 2009 | june 14, 2010 row 6 : 6 | 20 | september 6, 2010 | december 6, 2010 row 7 : 7 | 8 | october 29, 2013 | december 17, 2013 | col : count ( "*" ) row 1 : 6 | select count ( * ) where season < 601 <table_name> : table \begin{tabular}{lllll}
\toprule
& season & episodes & season premiere & season finale \\
\midrule
0 & 1 & 20 & march 4, 2006 & may 13, 2006 \\
1 & 2 & 52 & october 7, 2006 & july 16, 2007 \\
2 & 3 & 44 & october 15, 2007 & june 2, 2008 \\
3 & 4 & 48 & october 13, 2008 & may 11, 2009 \\
4 & 5 & 40 & october 12, 2009 & june 14, 2010 \\
5 & 6 & 20 & september 6, 2010 & december 6, 2010 \\
6 & 7 & 8 & october 29, 2013 & december 17, 2013 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 6 \\
\bottomrule
\end{tabular}
| select count ( * ) where season < 601 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>season</th>
<th>episodes</th>
<th>season premiere</th>
<th>season finale</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>20</td>
<td>march 4, 2006</td>
<td>may 13, 2006</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>52</td>
<td>october 7, 2006</td>
<td>july 16, 2007</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>44</td>
<td>october 15, 2007</td>
<td>june 2, 2008</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>48</td>
<td>october 13, 2008</td>
<td>may 11, 2009</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>40</td>
<td>october 12, 2009</td>
<td>june 14, 2010</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>20</td>
<td>september 6, 2010</td>
<td>december 6, 2010</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>8</td>
<td>october 29, 2013</td>
<td>december 17, 2013</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>6</td>
</tr>
</tbody>
</table> | select count ( * ) where season < 601 <table_name> : table | | season | episodes | season premiere | season finale |
|---:|---------:|-----------:|:------------------|:------------------|
| 0 | 1 | 20 | march 4, 2006 | may 13, 2006 |
| 1 | 2 | 52 | october 7, 2006 | july 16, 2007 |
| 2 | 3 | 44 | october 15, 2007 | june 2, 2008 |
| 3 | 4 | 48 | october 13, 2008 | may 11, 2009 |
| 4 | 5 | 40 | october 12, 2009 | june 14, 2010 |
| 5 | 6 | 20 | september 6, 2010 | december 6, 2010 |
| 6 | 7 | 8 | october 29, 2013 | december 17, 2013 | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 6 | | [
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select fate where launched = '25 october 1938' col : pennant number | name | builder | laid down | launched | completed | fate row 1 : f00 | jervis | hawthorn leslie & company, hebburn | 26 august 1937 | 9 september 1938 | 12 may 1939 | sold for scrap 1949 row 2 : f22 | jackal | john brown & company, clydebank | 24 september 1937 | 25 october 1938 | 31 march 1939 | bombed off mersa matruh on 11 may 1942 and scuttled by jervis following day row 3 : f34 | jaguar | william denny & brothers, dumbarton | 25 november 1937 | 22 november 1938 | 12 september 1939 | torpedoed by german u-boat u.652 off sollum, 26 march 1942 row 4 : f46 | juno (ex-jamaica) | fairfield shipbuilding & engineering company, govan | 15 october 1937 | 8 december 1938 | 25 august 1939 | bombed and sunk south of crete, 21 may 1941 row 5 : f53 | janus | swan hunter & wigham richardson, wallsend | 29 september 1937 | 11 october 1938 | 5 august 1939 | torpedoed and sunk off anzio by german aircraft, 23 january 1944 row 6 : f61 | javelin (ex-kashmir) | john brown | 11 october 1937 | 21 december 1938 | 10 june 1939 | sold for scrap 1949 row 7 : f72 | jersey | j. samuel white, cowes | 1937 | 26 september 1938 | 28 april 1939 | mined off valletta 2 may 1941, broke in two and sank 2 days later row 8 : f85 | jupiter | yar | | | | row 9 : & company, scotstoun | 28 september 1937 | 27 october 1938 | 25 june 1939 | hit a dutch mine during the battle of the java sea 27 february 1942 and sank the following day | | row 10 : none | jubilant | none | none | none | none | ordered march 1937, cancelled december 1937 | col : fate row 1 : bombed off mersa matruh on 11 may 1942 and scuttled by jervis following day | select fate where launched = '25 october 1938' <table_name> : table \begin{tabular}{llllllll}
\toprule
& pennant number & name & builder & laid down & launched & completed & fate \\
\midrule
0 & f00 & jervis & hawthorn leslie & company, hebburn & 26 august 1937 & 9 september 1938 & 12 may 1939 & sold for scrap 1949 \\
1 & f22 & jackal & john brown & company, clydebank & 24 september 1937 & 25 october 1938 & 31 march 1939 & bombed off mersa matruh on 11 may 1942 and scuttled by jervis following day \\
2 & f34 & jaguar & william denny & brothers, dumbarton & 25 november 1937 & 22 november 1938 & 12 september 1939 & torpedoed by german u-boat u.652 off sollum, 26 march 1942 \\
3 & f46 & juno (ex-jamaica) & fairfield shipbuilding & engineering company, govan & 15 october 1937 & 8 december 1938 & 25 august 1939 & bombed and sunk south of crete, 21 may 1941 \\
4 & f53 & janus & swan hunter & wigham richardson, wallsend & 29 september 1937 & 11 october 1938 & 5 august 1939 & torpedoed and sunk off anzio by german aircraft, 23 january 1944 \\
5 & f61 & javelin (ex-kashmir) & john brown & 11 october 1937 & 21 december 1938 & 10 june 1939 & sold for scrap 1949 \\
6 & f72 & jersey & j. samuel white, cowes & 1937 & 26 september 1938 & 28 april 1939 & mined off valletta 2 may 1941, broke in two and sank 2 days later \\
7 & f85 & jupiter & yar & & & & \\
8 & & company, scotstoun & 28 september 1937 & 27 october 1938 & 25 june 1939 & hit a dutch mine during the battle of the java sea 27 february 1942 and sank the following day & & \\
9 & none & jubilant & none & none & none & none & ordered march 1937, cancelled december 1937 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& fate \\
\midrule
0 & bombed off mersa matruh on 11 may 1942 and scuttled by jervis following day \\
\bottomrule
\end{tabular}
| select fate where launched = '25 october 1938' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>pennant number</th>
<th>name</th>
<th>builder</th>
<th>laid down</th>
<th>launched</th>
<th>completed</th>
<th>fate</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>f00</td>
<td>jervis</td>
<td>hawthorn leslie & company, hebburn</td>
<td>26 august 1937</td>
<td>9 september 1938</td>
<td>12 may 1939</td>
<td>sold for scrap 1949</td>
</tr>
<tr>
<th>1</th>
<td>f22</td>
<td>jackal</td>
<td>john brown & company, clydebank</td>
<td>24 september 1937</td>
<td>25 october 1938</td>
<td>31 march 1939</td>
<td>bombed off mersa matruh on 11 may 1942 and scuttled by jervis following day</td>
</tr>
<tr>
<th>2</th>
<td>f34</td>
<td>jaguar</td>
<td>william denny & brothers, dumbarton</td>
<td>25 november 1937</td>
<td>22 november 1938</td>
<td>12 september 1939</td>
<td>torpedoed by german u-boat u.652 off sollum, 26 march 1942</td>
</tr>
<tr>
<th>3</th>
<td>f46</td>
<td>juno (ex-jamaica)</td>
<td>fairfield shipbuilding & engineering company, govan</td>
<td>15 october 1937</td>
<td>8 december 1938</td>
<td>25 august 1939</td>
<td>bombed and sunk south of crete, 21 may 1941</td>
</tr>
<tr>
<th>4</th>
<td>f53</td>
<td>janus</td>
<td>swan hunter & wigham richardson, wallsend</td>
<td>29 september 1937</td>
<td>11 october 1938</td>
<td>5 august 1939</td>
<td>torpedoed and sunk off anzio by german aircraft, 23 january 1944</td>
</tr>
<tr>
<th>5</th>
<td>f61</td>
<td>javelin (ex-kashmir)</td>
<td>john brown</td>
<td>11 october 1937</td>
<td>21 december 1938</td>
<td>10 june 1939</td>
<td>sold for scrap 1949</td>
</tr>
<tr>
<th>6</th>
<td>f72</td>
<td>jersey</td>
<td>j. samuel white, cowes</td>
<td>1937</td>
<td>26 september 1938</td>
<td>28 april 1939</td>
<td>mined off valletta 2 may 1941, broke in two and sank 2 days later</td>
</tr>
<tr>
<th>7</th>
<td>f85</td>
<td>jupiter</td>
<td>yar</td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<th>8</th>
<td>& company, scotstoun</td>
<td>28 september 1937</td>
<td>27 october 1938</td>
<td>25 june 1939</td>
<td>hit a dutch mine during the battle of the java sea 27 february 1942 and sank the following day</td>
<td></td>
<td></td>
</tr>
<tr>
<th>9</th>
<td>none</td>
<td>jubilant</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>ordered march 1937, cancelled december 1937</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>fate</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>bombed off mersa matruh on 11 may 1942 and scuttled by jervis following day</td>
</tr>
</tbody>
</table> | select fate where launched = '25 october 1938' <table_name> : table | | pennant number | name | builder | laid down | launched | completed | fate |
|---:|:---------------------|:---------------------|:----------------------------------------------------|:------------------|:-----------------------------------------------------------------------------------------------|:------------------|:----------------------------------------------------------------------------|
| 0 | f00 | jervis | hawthorn leslie & company, hebburn | 26 august 1937 | 9 september 1938 | 12 may 1939 | sold for scrap 1949 |
| 1 | f22 | jackal | john brown & company, clydebank | 24 september 1937 | 25 october 1938 | 31 march 1939 | bombed off mersa matruh on 11 may 1942 and scuttled by jervis following day |
| 2 | f34 | jaguar | william denny & brothers, dumbarton | 25 november 1937 | 22 november 1938 | 12 september 1939 | torpedoed by german u-boat u.652 off sollum, 26 march 1942 |
| 3 | f46 | juno (ex-jamaica) | fairfield shipbuilding & engineering company, govan | 15 october 1937 | 8 december 1938 | 25 august 1939 | bombed and sunk south of crete, 21 may 1941 |
| 4 | f53 | janus | swan hunter & wigham richardson, wallsend | 29 september 1937 | 11 october 1938 | 5 august 1939 | torpedoed and sunk off anzio by german aircraft, 23 january 1944 |
| 5 | f61 | javelin (ex-kashmir) | john brown | 11 october 1937 | 21 december 1938 | 10 june 1939 | sold for scrap 1949 |
| 6 | f72 | jersey | j. samuel white, cowes | 1937 | 26 september 1938 | 28 april 1939 | mined off valletta 2 may 1941, broke in two and sank 2 days later |
| 7 | f85 | jupiter | yar | | | | |
| 8 | & company, scotstoun | 28 september 1937 | 27 october 1938 | 25 june 1939 | hit a dutch mine during the battle of the java sea 27 february 1942 and sank the following day | | |
| 9 | none | jubilant | none | none | none | none | ordered march 1937, cancelled december 1937 | | | | fate |
|---:|:----------------------------------------------------------------------------|
| 0 | bombed off mersa matruh on 11 may 1942 and scuttled by jervis following day | | [
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select office ended where # = 10 col : # | name | birth and death | office started | office ended row 1 : 1 | geir vidalin | 27 october 1761 - 20 september 1823 | 1801 | 1823 row 2 : 2 | steingrimur jonsson | none | 1824 | 1845 row 3 : 3 | helgi thordersen | 8 april 1794 - 4 december 1867 | 1846 | 1866 row 4 : 4 | 'petur petursson | 3 october 1808 - 15 may 1891 | 1866 | 1889 row 5 : 5 | hallgrimur sveinsson | 5 april 1841 - 16 december 1909 | 1889 | 1908 row 6 : 6 | þorhallur bjarnarson | 2 december 1855 - 15 december 1916 | 1908 | 1916 row 7 : 7 | jon helgason | 1866 - 1942 | 1917 | 1939 row 8 : 8 | sigurgeir sigurðsson | 3 august 1890 - 13 october 1953 | 1939 | 1953 row 9 : 9 | asmundur guðmundsson | 6 october 1888 reykholt - 29 may 1969 reykjavik | 1954 | 1989 row 10 : 10 | sigurbjorn einarsson | 30 june 1911 vestur-skaftafellssysla - 28 august 2008 reykjavik | 1959 | 1981 row 11 : 11 | petur sigurgeirsson (son of sigurgeir sigurðsson, 8th bishop of iceland) | 2 june 1919 - 3 june 2010 | 1981 | 1989 row 12 : 12 | olafur skulason | 29 december 1929 - 9 june 2008 | 1989 | 1997 row 13 : 13 | karl sigurbjornsson (son of sigurbjorn einarsson, 10th bishop of iceland) | 5 february 1947 reykjavik | 1998 | 2012 row 14 : 14 | agnes sigurðardottir | 19 october 1954 isafjorður | 24 june 2012 | incumbent | col : office ended row 1 : 1981 | select office ended where # = 10 <table_name> : table \begin{tabular}{llllll}
\toprule
& # & name & birth and death & office started & office ended \\
\midrule
0 & 1 & geir vidalin & 27 october 1761 - 20 september 1823 & 1801 & 1823 \\
1 & 2 & steingrimur jonsson & none & 1824 & 1845 \\
2 & 3 & helgi thordersen & 8 april 1794 - 4 december 1867 & 1846 & 1866 \\
3 & 4 & 'petur petursson & 3 october 1808 - 15 may 1891 & 1866 & 1889 \\
4 & 5 & hallgrimur sveinsson & 5 april 1841 - 16 december 1909 & 1889 & 1908 \\
5 & 6 & þorhallur bjarnarson & 2 december 1855 - 15 december 1916 & 1908 & 1916 \\
6 & 7 & jon helgason & 1866 - 1942 & 1917 & 1939 \\
7 & 8 & sigurgeir sigurðsson & 3 august 1890 - 13 october 1953 & 1939 & 1953 \\
8 & 9 & asmundur guðmundsson & 6 october 1888 reykholt - 29 may 1969 reykjavik & 1954 & 1989 \\
9 & 10 & sigurbjorn einarsson & 30 june 1911 vestur-skaftafellssysla - 28 august 2008 reykjavik & 1959 & 1981 \\
10 & 11 & petur sigurgeirsson (son of sigurgeir sigurðsson, 8th bishop of iceland) & 2 june 1919 - 3 june 2010 & 1981 & 1989 \\
11 & 12 & olafur skulason & 29 december 1929 - 9 june 2008 & 1989 & 1997 \\
12 & 13 & karl sigurbjornsson (son of sigurbjorn einarsson, 10th bishop of iceland) & 5 february 1947 reykjavik & 1998 & 2012 \\
13 & 14 & agnes sigurðardottir & 19 october 1954 isafjorður & 24 june 2012 & incumbent \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& office ended \\
\midrule
0 & 1981 \\
\bottomrule
\end{tabular}
| select office ended where # = 10 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>#</th>
<th>name</th>
<th>birth and death</th>
<th>office started</th>
<th>office ended</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>geir vidalin</td>
<td>27 october 1761 - 20 september 1823</td>
<td>1801</td>
<td>1823</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>steingrimur jonsson</td>
<td>none</td>
<td>1824</td>
<td>1845</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>helgi thordersen</td>
<td>8 april 1794 - 4 december 1867</td>
<td>1846</td>
<td>1866</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>'petur petursson</td>
<td>3 october 1808 - 15 may 1891</td>
<td>1866</td>
<td>1889</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>hallgrimur sveinsson</td>
<td>5 april 1841 - 16 december 1909</td>
<td>1889</td>
<td>1908</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>þorhallur bjarnarson</td>
<td>2 december 1855 - 15 december 1916</td>
<td>1908</td>
<td>1916</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>jon helgason</td>
<td>1866 - 1942</td>
<td>1917</td>
<td>1939</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>sigurgeir sigurðsson</td>
<td>3 august 1890 - 13 october 1953</td>
<td>1939</td>
<td>1953</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>asmundur guðmundsson</td>
<td>6 october 1888 reykholt - 29 may 1969 reykjavik</td>
<td>1954</td>
<td>1989</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>sigurbjorn einarsson</td>
<td>30 june 1911 vestur-skaftafellssysla - 28 august 2008 reykjavik</td>
<td>1959</td>
<td>1981</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>petur sigurgeirsson (son of sigurgeir sigurðsson, 8th bishop of iceland)</td>
<td>2 june 1919 - 3 june 2010</td>
<td>1981</td>
<td>1989</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>olafur skulason</td>
<td>29 december 1929 - 9 june 2008</td>
<td>1989</td>
<td>1997</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>karl sigurbjornsson (son of sigurbjorn einarsson, 10th bishop of iceland)</td>
<td>5 february 1947 reykjavik</td>
<td>1998</td>
<td>2012</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>agnes sigurðardottir</td>
<td>19 october 1954 isafjorður</td>
<td>24 june 2012</td>
<td>incumbent</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>office ended</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1981</td>
</tr>
</tbody>
</table> | select office ended where # = 10 <table_name> : table | | # | name | birth and death | office started | office ended |
|---:|----:|:--------------------------------------------------------------------------|:----------------------------------------------------------------|:-----------------|:---------------|
| 0 | 1 | geir vidalin | 27 october 1761 - 20 september 1823 | 1801 | 1823 |
| 1 | 2 | steingrimur jonsson | none | 1824 | 1845 |
| 2 | 3 | helgi thordersen | 8 april 1794 - 4 december 1867 | 1846 | 1866 |
| 3 | 4 | 'petur petursson | 3 october 1808 - 15 may 1891 | 1866 | 1889 |
| 4 | 5 | hallgrimur sveinsson | 5 april 1841 - 16 december 1909 | 1889 | 1908 |
| 5 | 6 | þorhallur bjarnarson | 2 december 1855 - 15 december 1916 | 1908 | 1916 |
| 6 | 7 | jon helgason | 1866 - 1942 | 1917 | 1939 |
| 7 | 8 | sigurgeir sigurðsson | 3 august 1890 - 13 october 1953 | 1939 | 1953 |
| 8 | 9 | asmundur guðmundsson | 6 october 1888 reykholt - 29 may 1969 reykjavik | 1954 | 1989 |
| 9 | 10 | sigurbjorn einarsson | 30 june 1911 vestur-skaftafellssysla - 28 august 2008 reykjavik | 1959 | 1981 |
| 10 | 11 | petur sigurgeirsson (son of sigurgeir sigurðsson, 8th bishop of iceland) | 2 june 1919 - 3 june 2010 | 1981 | 1989 |
| 11 | 12 | olafur skulason | 29 december 1929 - 9 june 2008 | 1989 | 1997 |
| 12 | 13 | karl sigurbjornsson (son of sigurbjorn einarsson, 10th bishop of iceland) | 5 february 1947 reykjavik | 1998 | 2012 |
| 13 | 14 | agnes sigurðardottir | 19 october 1954 isafjorður | 24 june 2012 | incumbent | | | | office ended |
|---:|---------------:|
| 0 | 1981 | | [
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] |
select count ( * ) where test method = 'astm d 648' col : property | test method | units | 4275 | 4301 | 4435 | 4630 | 4645 row 1 : tensile strength | astm d 638 | mpa (kpsi) | 117 (16.9) | 113 (16.4) | 94 (13.6) | 81 (11.8) | 114 (16.6) row 2 : tensile modulus | astm d 638 | gpa (kpsi) | 8.8 (1,280) | 6.8 (990) | 14.5 (2,100) | 7.4 (1,080) | 18.6 (2,700) row 3 : tensile elongation | astm d 638 | % | 2.6 | 3.3 | 1 | 1.9 | 0.8 row 4 : flexural strength | astm d 790 | mpa (kpsi) | 208 (30.2) | 215 (31.2) | 152 (22.0) | 131 (19.0) | 154 (22.4) row 5 : flexural modulus | astm d 790 | gpa (kpsi) | 7.3 (1.060) | 6.9 (1,000) | 14.8 (2,150) | 6.8 (990) | 12.4 (1,800) row 6 : compressive strength | astm d 695 | mpa (kpsi) | 123 (17.8) | 166 (24.1) | 138 (20.0) | 99 (14.4) | 157 (22.8) row 7 : izod impact strength, notched | astm d 256 | j/m (ft-lb/in) | 85 (1.6) | 64 (1.2) | 43 (0.8) | 48 (0.9) | 37 (0.7) row 8 : izod impact strength, unnotched | astm d 4812 | j/m (ft-lb/in) | 270 (5) | 430 (8) | 210 (4) | 160 (3) | 110 (2) row 9 : heat deflection temperature at 264 psi | astm d 648 | °c (°f) | 280 (536) | 279 (534) | 278 (532) | 280 (536) | 281 (538) row 10 : coefficient linear thermal expansion | astm d 696 | ppm/°c (ppm/°f) | 25 (14) | 25 (14) | 14 (8) | 16 (9) | 9 (3) | col : count ( "*" ) row 1 : 1 | select count ( * ) where test method = 'astm d 648' <table_name> : table \begin{tabular}{lllllllll}
\toprule
& property & test method & units & 4275 & 4301 & 4435 & 4630 & 4645 \\
\midrule
0 & tensile strength & astm d 638 & mpa (kpsi) & 117 (16.9) & 113 (16.4) & 94 (13.6) & 81 (11.8) & 114 (16.6) \\
1 & tensile modulus & astm d 638 & gpa (kpsi) & 8.8 (1,280) & 6.8 (990) & 14.5 (2,100) & 7.4 (1,080) & 18.6 (2,700) \\
2 & tensile elongation & astm d 638 & % & 2.6 & 3.3 & 1 & 1.9 & 0.8 \\
3 & flexural strength & astm d 790 & mpa (kpsi) & 208 (30.2) & 215 (31.2) & 152 (22.0) & 131 (19.0) & 154 (22.4) \\
4 & flexural modulus & astm d 790 & gpa (kpsi) & 7.3 (1.060) & 6.9 (1,000) & 14.8 (2,150) & 6.8 (990) & 12.4 (1,800) \\
5 & compressive strength & astm d 695 & mpa (kpsi) & 123 (17.8) & 166 (24.1) & 138 (20.0) & 99 (14.4) & 157 (22.8) \\
6 & izod impact strength, notched & astm d 256 & j/m (ft-lb/in) & 85 (1.6) & 64 (1.2) & 43 (0.8) & 48 (0.9) & 37 (0.7) \\
7 & izod impact strength, unnotched & astm d 4812 & j/m (ft-lb/in) & 270 (5) & 430 (8) & 210 (4) & 160 (3) & 110 (2) \\
8 & heat deflection temperature at 264 psi & astm d 648 & °c (°f) & 280 (536) & 279 (534) & 278 (532) & 280 (536) & 281 (538) \\
9 & coefficient linear thermal expansion & astm d 696 & ppm/°c (ppm/°f) & 25 (14) & 25 (14) & 14 (8) & 16 (9) & 9 (3) \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( * ) where test method = 'astm d 648' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>property</th>
<th>test method</th>
<th>units</th>
<th>4275</th>
<th>4301</th>
<th>4435</th>
<th>4630</th>
<th>4645</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>tensile strength</td>
<td>astm d 638</td>
<td>mpa (kpsi)</td>
<td>117 (16.9)</td>
<td>113 (16.4)</td>
<td>94 (13.6)</td>
<td>81 (11.8)</td>
<td>114 (16.6)</td>
</tr>
<tr>
<th>1</th>
<td>tensile modulus</td>
<td>astm d 638</td>
<td>gpa (kpsi)</td>
<td>8.8 (1,280)</td>
<td>6.8 (990)</td>
<td>14.5 (2,100)</td>
<td>7.4 (1,080)</td>
<td>18.6 (2,700)</td>
</tr>
<tr>
<th>2</th>
<td>tensile elongation</td>
<td>astm d 638</td>
<td>%</td>
<td>2.6</td>
<td>3.3</td>
<td>1</td>
<td>1.9</td>
<td>0.8</td>
</tr>
<tr>
<th>3</th>
<td>flexural strength</td>
<td>astm d 790</td>
<td>mpa (kpsi)</td>
<td>208 (30.2)</td>
<td>215 (31.2)</td>
<td>152 (22.0)</td>
<td>131 (19.0)</td>
<td>154 (22.4)</td>
</tr>
<tr>
<th>4</th>
<td>flexural modulus</td>
<td>astm d 790</td>
<td>gpa (kpsi)</td>
<td>7.3 (1.060)</td>
<td>6.9 (1,000)</td>
<td>14.8 (2,150)</td>
<td>6.8 (990)</td>
<td>12.4 (1,800)</td>
</tr>
<tr>
<th>5</th>
<td>compressive strength</td>
<td>astm d 695</td>
<td>mpa (kpsi)</td>
<td>123 (17.8)</td>
<td>166 (24.1)</td>
<td>138 (20.0)</td>
<td>99 (14.4)</td>
<td>157 (22.8)</td>
</tr>
<tr>
<th>6</th>
<td>izod impact strength, notched</td>
<td>astm d 256</td>
<td>j/m (ft-lb/in)</td>
<td>85 (1.6)</td>
<td>64 (1.2)</td>
<td>43 (0.8)</td>
<td>48 (0.9)</td>
<td>37 (0.7)</td>
</tr>
<tr>
<th>7</th>
<td>izod impact strength, unnotched</td>
<td>astm d 4812</td>
<td>j/m (ft-lb/in)</td>
<td>270 (5)</td>
<td>430 (8)</td>
<td>210 (4)</td>
<td>160 (3)</td>
<td>110 (2)</td>
</tr>
<tr>
<th>8</th>
<td>heat deflection temperature at 264 psi</td>
<td>astm d 648</td>
<td>°c (°f)</td>
<td>280 (536)</td>
<td>279 (534)</td>
<td>278 (532)</td>
<td>280 (536)</td>
<td>281 (538)</td>
</tr>
<tr>
<th>9</th>
<td>coefficient linear thermal expansion</td>
<td>astm d 696</td>
<td>ppm/°c (ppm/°f)</td>
<td>25 (14)</td>
<td>25 (14)</td>
<td>14 (8)</td>
<td>16 (9)</td>
<td>9 (3)</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 test method = 'astm d 648' <table_name> : table | | property | test method | units | 4275 | 4301 | 4435 | 4630 | 4645 |
|---:|:---------------------------------------|:--------------|:----------------|:------------|:------------|:-------------|:------------|:-------------|
| 0 | tensile strength | astm d 638 | mpa (kpsi) | 117 (16.9) | 113 (16.4) | 94 (13.6) | 81 (11.8) | 114 (16.6) |
| 1 | tensile modulus | astm d 638 | gpa (kpsi) | 8.8 (1,280) | 6.8 (990) | 14.5 (2,100) | 7.4 (1,080) | 18.6 (2,700) |
| 2 | tensile elongation | astm d 638 | % | 2.6 | 3.3 | 1 | 1.9 | 0.8 |
| 3 | flexural strength | astm d 790 | mpa (kpsi) | 208 (30.2) | 215 (31.2) | 152 (22.0) | 131 (19.0) | 154 (22.4) |
| 4 | flexural modulus | astm d 790 | gpa (kpsi) | 7.3 (1.060) | 6.9 (1,000) | 14.8 (2,150) | 6.8 (990) | 12.4 (1,800) |
| 5 | compressive strength | astm d 695 | mpa (kpsi) | 123 (17.8) | 166 (24.1) | 138 (20.0) | 99 (14.4) | 157 (22.8) |
| 6 | izod impact strength, notched | astm d 256 | j/m (ft-lb/in) | 85 (1.6) | 64 (1.2) | 43 (0.8) | 48 (0.9) | 37 (0.7) |
| 7 | izod impact strength, unnotched | astm d 4812 | j/m (ft-lb/in) | 270 (5) | 430 (8) | 210 (4) | 160 (3) | 110 (2) |
| 8 | heat deflection temperature at 264 psi | astm d 648 | °c (°f) | 280 (536) | 279 (534) | 278 (532) | 280 (536) | 281 (538) |
| 9 | coefficient linear thermal expansion | astm d 696 | ppm/°c (ppm/°f) | 25 (14) | 25 (14) | 14 (8) | 16 (9) | 9 (3) | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 1 | | [
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select count ( award ) where ceremony = '2011 vijay music awards' col : ceremony | award | category | name | outcome row 1 : 2011 edison awards | edison award | best romantic movie | none | won row 2 : 2011 vijay music awards | vijay music award | best folk song of the year 2010 | adida nayandiya | nominated row 3 : 2011 vijay music awards | vijay music award | popular melody of the year 2010 | idhu varai | nominated row 4 : 2011 vijay music awards | vijay music award | popular duet of the year 2010 | andrea jeremiah & ajeesh for idhu varai | won row 5 : 2011 vijay music awards | vijay music award | popular female singer of the year 2010 | andrea jeremiah for idhu varai | nominated row 6 : 2011 vijay music awards | vijay music award | best debut male playback singer (jury) | ajeesh | nominated row 7 : 5th vijay awards | vijay award | vijay award for best supporting actor | sampath raj | nominated row 8 : 5th vijay awards | vijay award | vijay award for best female playback singer | andrea jeremiah | nominated row 9 : 5th vijay awards | vijay award | vijay award for best lyricist | gangai amaran | nominated row 10 : mirchi music awards | mirchi music award | mirchi listeners' choice - best song of the year | idhu varai | nominated row 11 : mirchi music awards | mirchi music award | technical - sound mixer | ramji & guru for idhu varai | won row 12 : mirchi music awards | mirchi music award | best upcoming singer of the year - male | ajeesh for idhu varai | won | col : count ( "award" ) row 1 : 5 | select count ( award ) where ceremony = '2011 vijay music awards' <table_name> : table \begin{tabular}{llllll}
\toprule
& ceremony & award & category & name & outcome \\
\midrule
0 & 2011 edison awards & edison award & best romantic movie & none & won \\
1 & 2011 vijay music awards & vijay music award & best folk song of the year 2010 & adida nayandiya & nominated \\
2 & 2011 vijay music awards & vijay music award & popular melody of the year 2010 & idhu varai & nominated \\
3 & 2011 vijay music awards & vijay music award & popular duet of the year 2010 & andrea jeremiah & ajeesh for idhu varai & won \\
4 & 2011 vijay music awards & vijay music award & popular female singer of the year 2010 & andrea jeremiah for idhu varai & nominated \\
5 & 2011 vijay music awards & vijay music award & best debut male playback singer (jury) & ajeesh & nominated \\
6 & 5th vijay awards & vijay award & vijay award for best supporting actor & sampath raj & nominated \\
7 & 5th vijay awards & vijay award & vijay award for best female playback singer & andrea jeremiah & nominated \\
8 & 5th vijay awards & vijay award & vijay award for best lyricist & gangai amaran & nominated \\
9 & mirchi music awards & mirchi music award & mirchi listeners' choice - best song of the year & idhu varai & nominated \\
10 & mirchi music awards & mirchi music award & technical - sound mixer & ramji & guru for idhu varai & won \\
11 & mirchi music awards & mirchi music award & best upcoming singer of the year - male & ajeesh for idhu varai & won \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "award" ) \\
\midrule
0 & 5 \\
\bottomrule
\end{tabular}
| select count ( award ) where ceremony = '2011 vijay music awards' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>ceremony</th>
<th>award</th>
<th>category</th>
<th>name</th>
<th>outcome</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2011 edison awards</td>
<td>edison award</td>
<td>best romantic movie</td>
<td>none</td>
<td>won</td>
</tr>
<tr>
<th>1</th>
<td>2011 vijay music awards</td>
<td>vijay music award</td>
<td>best folk song of the year 2010</td>
<td>adida nayandiya</td>
<td>nominated</td>
</tr>
<tr>
<th>2</th>
<td>2011 vijay music awards</td>
<td>vijay music award</td>
<td>popular melody of the year 2010</td>
<td>idhu varai</td>
<td>nominated</td>
</tr>
<tr>
<th>3</th>
<td>2011 vijay music awards</td>
<td>vijay music award</td>
<td>popular duet of the year 2010</td>
<td>andrea jeremiah & ajeesh for idhu varai</td>
<td>won</td>
</tr>
<tr>
<th>4</th>
<td>2011 vijay music awards</td>
<td>vijay music award</td>
<td>popular female singer of the year 2010</td>
<td>andrea jeremiah for idhu varai</td>
<td>nominated</td>
</tr>
<tr>
<th>5</th>
<td>2011 vijay music awards</td>
<td>vijay music award</td>
<td>best debut male playback singer (jury)</td>
<td>ajeesh</td>
<td>nominated</td>
</tr>
<tr>
<th>6</th>
<td>5th vijay awards</td>
<td>vijay award</td>
<td>vijay award for best supporting actor</td>
<td>sampath raj</td>
<td>nominated</td>
</tr>
<tr>
<th>7</th>
<td>5th vijay awards</td>
<td>vijay award</td>
<td>vijay award for best female playback singer</td>
<td>andrea jeremiah</td>
<td>nominated</td>
</tr>
<tr>
<th>8</th>
<td>5th vijay awards</td>
<td>vijay award</td>
<td>vijay award for best lyricist</td>
<td>gangai amaran</td>
<td>nominated</td>
</tr>
<tr>
<th>9</th>
<td>mirchi music awards</td>
<td>mirchi music award</td>
<td>mirchi listeners' choice - best song of the year</td>
<td>idhu varai</td>
<td>nominated</td>
</tr>
<tr>
<th>10</th>
<td>mirchi music awards</td>
<td>mirchi music award</td>
<td>technical - sound mixer</td>
<td>ramji & guru for idhu varai</td>
<td>won</td>
</tr>
<tr>
<th>11</th>
<td>mirchi music awards</td>
<td>mirchi music award</td>
<td>best upcoming singer of the year - male</td>
<td>ajeesh for idhu varai</td>
<td>won</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "award" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>5</td>
</tr>
</tbody>
</table> | select count ( award ) where ceremony = '2011 vijay music awards' <table_name> : table | | ceremony | award | category | name | outcome |
|---:|:------------------------|:-------------------|:-------------------------------------------------|:----------------------------------------|:----------|
| 0 | 2011 edison awards | edison award | best romantic movie | none | won |
| 1 | 2011 vijay music awards | vijay music award | best folk song of the year 2010 | adida nayandiya | nominated |
| 2 | 2011 vijay music awards | vijay music award | popular melody of the year 2010 | idhu varai | nominated |
| 3 | 2011 vijay music awards | vijay music award | popular duet of the year 2010 | andrea jeremiah & ajeesh for idhu varai | won |
| 4 | 2011 vijay music awards | vijay music award | popular female singer of the year 2010 | andrea jeremiah for idhu varai | nominated |
| 5 | 2011 vijay music awards | vijay music award | best debut male playback singer (jury) | ajeesh | nominated |
| 6 | 5th vijay awards | vijay award | vijay award for best supporting actor | sampath raj | nominated |
| 7 | 5th vijay awards | vijay award | vijay award for best female playback singer | andrea jeremiah | nominated |
| 8 | 5th vijay awards | vijay award | vijay award for best lyricist | gangai amaran | nominated |
| 9 | mirchi music awards | mirchi music award | mirchi listeners' choice - best song of the year | idhu varai | nominated |
| 10 | mirchi music awards | mirchi music award | technical - sound mixer | ramji & guru for idhu varai | won |
| 11 | mirchi music awards | mirchi music award | best upcoming singer of the year - male | ajeesh for idhu varai | won | | | | count ( "award" ) |
|---:|--------------------:|
| 0 | 5 | | [
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select swimsuit - evening gown where interview = '8.275' col : state | interview | swimsuit | evening gown | average row 1 : idaho | 8.688 | 8.925 | 8.85 | 8.821 row 2 : kentucky | 8.863 | 9.175 | 9.4 | 9.146 row 3 : vermont | 8.425 | 9.013 | 9.3 | 8.913 row 4 : texas | 8.688 | 8.975 | 8.875 | 8.846 row 5 : north dakota | 8.8 | 8.975 | 9.175 | 8.983 row 6 : washington | 8.688 | 8.788 | 8.863 | 8.779 row 7 : alabama | 8.65 | 8.475 | 8.938 | 8.688 row 8 : south dakota | 8.3 | 8.838 | 8.513 | 8.55 row 9 : new york | 8.463 | 8.713 | 8.4 | 8.525 row 10 : oklahoma | 8.275 | 8.325 | 8.7 | 8.433 | col : "swimsuit - evening gown" row 1 : swimsuit - evening gown | select swimsuit - evening gown where interview = '8.275' <table_name> : table \begin{tabular}{llllll}
\toprule
& state & interview & swimsuit & evening gown & average \\
\midrule
0 & idaho & 8.688 & 8.925 & 8.85 & 8.821 \\
1 & kentucky & 8.863 & 9.175 & 9.4 & 9.146 \\
2 & vermont & 8.425 & 9.013 & 9.3 & 8.913 \\
3 & texas & 8.688 & 8.975 & 8.875 & 8.846 \\
4 & north dakota & 8.8 & 8.975 & 9.175 & 8.983 \\
5 & washington & 8.688 & 8.788 & 8.863 & 8.779 \\
6 & alabama & 8.65 & 8.475 & 8.938 & 8.688 \\
7 & south dakota & 8.3 & 8.838 & 8.513 & 8.55 \\
8 & new york & 8.463 & 8.713 & 8.4 & 8.525 \\
9 & oklahoma & 8.275 & 8.325 & 8.7 & 8.433 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& "swimsuit - evening gown" \\
\midrule
0 & swimsuit - evening gown \\
\bottomrule
\end{tabular}
| select swimsuit - evening gown where interview = '8.275' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>state</th>
<th>interview</th>
<th>swimsuit</th>
<th>evening gown</th>
<th>average</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>idaho</td>
<td>8.688</td>
<td>8.925</td>
<td>8.85</td>
<td>8.821</td>
</tr>
<tr>
<th>1</th>
<td>kentucky</td>
<td>8.863</td>
<td>9.175</td>
<td>9.4</td>
<td>9.146</td>
</tr>
<tr>
<th>2</th>
<td>vermont</td>
<td>8.425</td>
<td>9.013</td>
<td>9.3</td>
<td>8.913</td>
</tr>
<tr>
<th>3</th>
<td>texas</td>
<td>8.688</td>
<td>8.975</td>
<td>8.875</td>
<td>8.846</td>
</tr>
<tr>
<th>4</th>
<td>north dakota</td>
<td>8.8</td>
<td>8.975</td>
<td>9.175</td>
<td>8.983</td>
</tr>
<tr>
<th>5</th>
<td>washington</td>
<td>8.688</td>
<td>8.788</td>
<td>8.863</td>
<td>8.779</td>
</tr>
<tr>
<th>6</th>
<td>alabama</td>
<td>8.65</td>
<td>8.475</td>
<td>8.938</td>
<td>8.688</td>
</tr>
<tr>
<th>7</th>
<td>south dakota</td>
<td>8.3</td>
<td>8.838</td>
<td>8.513</td>
<td>8.55</td>
</tr>
<tr>
<th>8</th>
<td>new york</td>
<td>8.463</td>
<td>8.713</td>
<td>8.4</td>
<td>8.525</td>
</tr>
<tr>
<th>9</th>
<td>oklahoma</td>
<td>8.275</td>
<td>8.325</td>
<td>8.7</td>
<td>8.433</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>"swimsuit - evening gown"</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>swimsuit - evening gown</td>
</tr>
</tbody>
</table> | select swimsuit - evening gown where interview = '8.275' <table_name> : table | | state | interview | swimsuit | evening gown | average |
|---:|:-------------|------------:|-----------:|---------------:|----------:|
| 0 | idaho | 8.688 | 8.925 | 8.85 | 8.821 |
| 1 | kentucky | 8.863 | 9.175 | 9.4 | 9.146 |
| 2 | vermont | 8.425 | 9.013 | 9.3 | 8.913 |
| 3 | texas | 8.688 | 8.975 | 8.875 | 8.846 |
| 4 | north dakota | 8.8 | 8.975 | 9.175 | 8.983 |
| 5 | washington | 8.688 | 8.788 | 8.863 | 8.779 |
| 6 | alabama | 8.65 | 8.475 | 8.938 | 8.688 |
| 7 | south dakota | 8.3 | 8.838 | 8.513 | 8.55 |
| 8 | new york | 8.463 | 8.713 | 8.4 | 8.525 |
| 9 | oklahoma | 8.275 | 8.325 | 8.7 | 8.433 | | | | "swimsuit - evening gown" |
|---:|:----------------------------|
| 0 | swimsuit - evening gown | | [
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select count ( * ) where area (km2) > 1531 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 : count ( "*" ) row 1 : 7 | select count ( * ) where area (km2) > 1531 <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
& count ( "*" ) \\
\midrule
0 & 7 \\
\bottomrule
\end{tabular}
| select count ( * ) where area (km2) > 1531 <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>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>7</td>
</tr>
</tbody>
</table> | select count ( * ) where area (km2) > 1531 <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 | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 7 | | [
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select count ( * ) where position = '2nd' col : year | competition | venue | position | notes row 1 : 1999 | world youth championships | bydgoszcz, poland | 12th | none row 2 : 2000 | world junior championships | santiago, chile | 5th | none row 3 : 2001 | european junior championships | grosseto, italy | 2nd | 61.97 m row 4 : 2001 | world championships | edmonton, canada | 23rd | 61.26 m row 5 : 2002 | world junior championships | kingston, jamaica | 2nd | 63.91 m row 6 : 2002 | european championships | munich, germany | 26th | 60.28 m row 7 : 2006 | european championships | gothenburg, sweden | 26th | 62.39 m row 8 : 2007 | world student games | bangkok, thailand | 5th | 64.95 m row 9 : 2007 | world championships | osaka, japan | 13th | 68.15 m row 10 : 2008 | olympic games | beijing, pr china | 8th | 71.00 m row 11 : 2008 | world athletics final | stuttgart, germany | 2nd | 71.40 m row 12 : 2009 | world student games | belgrade, serbia | 2nd | 72.85 m row 13 : 2009 | world championships | berlin, germany | 3rd | 74.79 m row 14 : 2009 | world athletics final | thessaloniki, greece | 3rd | 70.45 m row 15 : 2012 | european championships | helsinki, finland | 2nd | 73.34 m | col : count ( "*" ) row 1 : 5 | select count ( * ) where position = '2nd' <table_name> : table \begin{tabular}{llllll}
\toprule
& year & competition & venue & position & notes \\
\midrule
0 & 1999 & world youth championships & bydgoszcz, poland & 12th & none \\
1 & 2000 & world junior championships & santiago, chile & 5th & none \\
2 & 2001 & european junior championships & grosseto, italy & 2nd & 61.97 m \\
3 & 2001 & world championships & edmonton, canada & 23rd & 61.26 m \\
4 & 2002 & world junior championships & kingston, jamaica & 2nd & 63.91 m \\
5 & 2002 & european championships & munich, germany & 26th & 60.28 m \\
6 & 2006 & european championships & gothenburg, sweden & 26th & 62.39 m \\
7 & 2007 & world student games & bangkok, thailand & 5th & 64.95 m \\
8 & 2007 & world championships & osaka, japan & 13th & 68.15 m \\
9 & 2008 & olympic games & beijing, pr china & 8th & 71.00 m \\
10 & 2008 & world athletics final & stuttgart, germany & 2nd & 71.40 m \\
11 & 2009 & world student games & belgrade, serbia & 2nd & 72.85 m \\
12 & 2009 & world championships & berlin, germany & 3rd & 74.79 m \\
13 & 2009 & world athletics final & thessaloniki, greece & 3rd & 70.45 m \\
14 & 2012 & european championships & helsinki, finland & 2nd & 73.34 m \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 5 \\
\bottomrule
\end{tabular}
| select count ( * ) where position = '2nd' <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>1999</td>
<td>world youth championships</td>
<td>bydgoszcz, poland</td>
<td>12th</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>2000</td>
<td>world junior championships</td>
<td>santiago, chile</td>
<td>5th</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>2001</td>
<td>european junior championships</td>
<td>grosseto, italy</td>
<td>2nd</td>
<td>61.97 m</td>
</tr>
<tr>
<th>3</th>
<td>2001</td>
<td>world championships</td>
<td>edmonton, canada</td>
<td>23rd</td>
<td>61.26 m</td>
</tr>
<tr>
<th>4</th>
<td>2002</td>
<td>world junior championships</td>
<td>kingston, jamaica</td>
<td>2nd</td>
<td>63.91 m</td>
</tr>
<tr>
<th>5</th>
<td>2002</td>
<td>european championships</td>
<td>munich, germany</td>
<td>26th</td>
<td>60.28 m</td>
</tr>
<tr>
<th>6</th>
<td>2006</td>
<td>european championships</td>
<td>gothenburg, sweden</td>
<td>26th</td>
<td>62.39 m</td>
</tr>
<tr>
<th>7</th>
<td>2007</td>
<td>world student games</td>
<td>bangkok, thailand</td>
<td>5th</td>
<td>64.95 m</td>
</tr>
<tr>
<th>8</th>
<td>2007</td>
<td>world championships</td>
<td>osaka, japan</td>
<td>13th</td>
<td>68.15 m</td>
</tr>
<tr>
<th>9</th>
<td>2008</td>
<td>olympic games</td>
<td>beijing, pr china</td>
<td>8th</td>
<td>71.00 m</td>
</tr>
<tr>
<th>10</th>
<td>2008</td>
<td>world athletics final</td>
<td>stuttgart, germany</td>
<td>2nd</td>
<td>71.40 m</td>
</tr>
<tr>
<th>11</th>
<td>2009</td>
<td>world student games</td>
<td>belgrade, serbia</td>
<td>2nd</td>
<td>72.85 m</td>
</tr>
<tr>
<th>12</th>
<td>2009</td>
<td>world championships</td>
<td>berlin, germany</td>
<td>3rd</td>
<td>74.79 m</td>
</tr>
<tr>
<th>13</th>
<td>2009</td>
<td>world athletics final</td>
<td>thessaloniki, greece</td>
<td>3rd</td>
<td>70.45 m</td>
</tr>
<tr>
<th>14</th>
<td>2012</td>
<td>european championships</td>
<td>helsinki, finland</td>
<td>2nd</td>
<td>73.34 m</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>5</td>
</tr>
</tbody>
</table> | select count ( * ) where position = '2nd' <table_name> : table | | year | competition | venue | position | notes |
|---:|-------:|:------------------------------|:---------------------|:-----------|:--------|
| 0 | 1999 | world youth championships | bydgoszcz, poland | 12th | none |
| 1 | 2000 | world junior championships | santiago, chile | 5th | none |
| 2 | 2001 | european junior championships | grosseto, italy | 2nd | 61.97 m |
| 3 | 2001 | world championships | edmonton, canada | 23rd | 61.26 m |
| 4 | 2002 | world junior championships | kingston, jamaica | 2nd | 63.91 m |
| 5 | 2002 | european championships | munich, germany | 26th | 60.28 m |
| 6 | 2006 | european championships | gothenburg, sweden | 26th | 62.39 m |
| 7 | 2007 | world student games | bangkok, thailand | 5th | 64.95 m |
| 8 | 2007 | world championships | osaka, japan | 13th | 68.15 m |
| 9 | 2008 | olympic games | beijing, pr china | 8th | 71.00 m |
| 10 | 2008 | world athletics final | stuttgart, germany | 2nd | 71.40 m |
| 11 | 2009 | world student games | belgrade, serbia | 2nd | 72.85 m |
| 12 | 2009 | world championships | berlin, germany | 3rd | 74.79 m |
| 13 | 2009 | world athletics final | thessaloniki, greece | 3rd | 70.45 m |
| 14 | 2012 | european championships | helsinki, finland | 2nd | 73.34 m | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 5 | | [
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select position where player = 'adam graves' col : no. | player | position | career | date no. retired row 1 : 1 | eddie giacomin | g | 1965-76 | march 15, 1989 row 2 : 2 | brian leetch | d | 1987-2004 | january 24, 2008 row 3 : 3 | harry howell | d | 1952-69 | february 22, 2009 row 4 : 7 | rod gilbert | rw | 1960-78 | october 14, 1979 row 5 : 9 | andy bathgate | c | 1954-64 | february 22, 2009 row 6 : 9 | adam graves | lw | 1991-2001 | february 3, 2009 row 7 : 11 | mark messier | c | 1991-97, 2000-04 | january 12, 2006 row 8 : 35 | mike richter | g | 1990-2003 | february 4, 2004 row 9 : 99 | wayne gretzky | c | 1996-99 | february 6, 2000 | col : position row 1 : lw | select position where player = 'adam graves' <table_name> : table \begin{tabular}{llllll}
\toprule
& no. & player & position & career & date no. retired \\
\midrule
0 & 1 & eddie giacomin & g & 1965-76 & march 15, 1989 \\
1 & 2 & brian leetch & d & 1987-2004 & january 24, 2008 \\
2 & 3 & harry howell & d & 1952-69 & february 22, 2009 \\
3 & 7 & rod gilbert & rw & 1960-78 & october 14, 1979 \\
4 & 9 & andy bathgate & c & 1954-64 & february 22, 2009 \\
5 & 9 & adam graves & lw & 1991-2001 & february 3, 2009 \\
6 & 11 & mark messier & c & 1991-97, 2000-04 & january 12, 2006 \\
7 & 35 & mike richter & g & 1990-2003 & february 4, 2004 \\
8 & 99 & wayne gretzky & c & 1996-99 & february 6, 2000 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& position \\
\midrule
0 & lw \\
\bottomrule
\end{tabular}
| select position where player = 'adam graves' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>no.</th>
<th>player</th>
<th>position</th>
<th>career</th>
<th>date no. retired</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>eddie giacomin</td>
<td>g</td>
<td>1965-76</td>
<td>march 15, 1989</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>brian leetch</td>
<td>d</td>
<td>1987-2004</td>
<td>january 24, 2008</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>harry howell</td>
<td>d</td>
<td>1952-69</td>
<td>february 22, 2009</td>
</tr>
<tr>
<th>3</th>
<td>7</td>
<td>rod gilbert</td>
<td>rw</td>
<td>1960-78</td>
<td>october 14, 1979</td>
</tr>
<tr>
<th>4</th>
<td>9</td>
<td>andy bathgate</td>
<td>c</td>
<td>1954-64</td>
<td>february 22, 2009</td>
</tr>
<tr>
<th>5</th>
<td>9</td>
<td>adam graves</td>
<td>lw</td>
<td>1991-2001</td>
<td>february 3, 2009</td>
</tr>
<tr>
<th>6</th>
<td>11</td>
<td>mark messier</td>
<td>c</td>
<td>1991-97, 2000-04</td>
<td>january 12, 2006</td>
</tr>
<tr>
<th>7</th>
<td>35</td>
<td>mike richter</td>
<td>g</td>
<td>1990-2003</td>
<td>february 4, 2004</td>
</tr>
<tr>
<th>8</th>
<td>99</td>
<td>wayne gretzky</td>
<td>c</td>
<td>1996-99</td>
<td>february 6, 2000</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>lw</td>
</tr>
</tbody>
</table> | select position where player = 'adam graves' <table_name> : table | | no. | player | position | career | date no. retired |
|---:|------:|:---------------|:-----------|:-----------------|:-------------------|
| 0 | 1 | eddie giacomin | g | 1965-76 | march 15, 1989 |
| 1 | 2 | brian leetch | d | 1987-2004 | january 24, 2008 |
| 2 | 3 | harry howell | d | 1952-69 | february 22, 2009 |
| 3 | 7 | rod gilbert | rw | 1960-78 | october 14, 1979 |
| 4 | 9 | andy bathgate | c | 1954-64 | february 22, 2009 |
| 5 | 9 | adam graves | lw | 1991-2001 | february 3, 2009 |
| 6 | 11 | mark messier | c | 1991-97, 2000-04 | january 12, 2006 |
| 7 | 35 | mike richter | g | 1990-2003 | february 4, 2004 |
| 8 | 99 | wayne gretzky | c | 1996-99 | february 6, 2000 | | | | position |
|---:|:-----------|
| 0 | lw | | [
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select home city where contestant = 'natasa maric' col : contestant | age | height | home city | rank row 1 : isabelle raisa | 16 | 170 cm (5 ft 7 in) | vienna | eliminated in episode 1 row 2 : alina chlebecek | 18 | 170 cm (5 ft 7 in) | deutsch-wagram | eliminated in episode 1 row 3 : sabrina angelika rauch | 21 | 175 cm (5 ft 9 in) | graz | eliminated in episode 2 row 4 : katharina mihalovic | 23 | 179 cm (5 ft 10.5 in) | vienna | eliminated in episode 2 row 5 : natasa maric | 16 | 175 cm (5 ft 9 in) | liefering (originally from serbia) | eliminated in episode 3 row 6 : michaela schopf | 21 | 172 cm (5 ft 7.5 in) | salzburg (originally from germany) | quit in episode 4 row 7 : christine riener | 20 | 181 cm (5 ft 11.25 in) | bludenz | eliminated in episode 4 row 8 : teodora-madalina andreica | 17 | 177 cm (5 ft 9.5 in) | romania | eliminated in episode 6 row 9 : yemisi rieger | 17 | 177 cm (5 ft 9.5 in) | vienna | eliminated in episode 7 row 10 : izabela pop kostic | 20 | 170 cm (5 ft 7 in) | vienna (originally from bosnia) | eliminated in episode 8 row 11 : bianca ebelsberger | 24 | 179 cm (5 ft 10.5 in) | aurach am hongar | eliminated in episode 9 row 12 : nadine trinker | 21 | 183 cm (6 ft 0 in) | bodensdorf | eliminated in episode 9 row 13 : dzejlana "lana" baltic | 20 | 179 cm (5 ft 10.5 in) | graz (originally from bosnia) | 1st eliminated in episode 10 row 14 : melisa popanicic | 16 | 175 cm (5 ft 9 in) | worgl | 2nd eliminated in episode 10 row 15 : gina zeneb adamu | 17 | 175 cm (5 ft 9 in) | bad voslau | runner-up row 16 : antonia maria hausmair | 16 | 175 cm (5 ft 9 in) | siegendorf | winner | col : home city row 1 : liefering (originally from serbia) | select home city where contestant = 'natasa maric' <table_name> : table \begin{tabular}{llllll}
\toprule
& contestant & age & height & home city & rank \\
\midrule
0 & isabelle raisa & 16 & 170 cm (5 ft 7 in) & vienna & eliminated in episode 1 \\
1 & alina chlebecek & 18 & 170 cm (5 ft 7 in) & deutsch-wagram & eliminated in episode 1 \\
2 & sabrina angelika rauch & 21 & 175 cm (5 ft 9 in) & graz & eliminated in episode 2 \\
3 & katharina mihalovic & 23 & 179 cm (5 ft 10.5 in) & vienna & eliminated in episode 2 \\
4 & natasa maric & 16 & 175 cm (5 ft 9 in) & liefering (originally from serbia) & eliminated in episode 3 \\
5 & michaela schopf & 21 & 172 cm (5 ft 7.5 in) & salzburg (originally from germany) & quit in episode 4 \\
6 & christine riener & 20 & 181 cm (5 ft 11.25 in) & bludenz & eliminated in episode 4 \\
7 & teodora-madalina andreica & 17 & 177 cm (5 ft 9.5 in) & romania & eliminated in episode 6 \\
8 & yemisi rieger & 17 & 177 cm (5 ft 9.5 in) & vienna & eliminated in episode 7 \\
9 & izabela pop kostic & 20 & 170 cm (5 ft 7 in) & vienna (originally from bosnia) & eliminated in episode 8 \\
10 & bianca ebelsberger & 24 & 179 cm (5 ft 10.5 in) & aurach am hongar & eliminated in episode 9 \\
11 & nadine trinker & 21 & 183 cm (6 ft 0 in) & bodensdorf & eliminated in episode 9 \\
12 & dzejlana "lana" baltic & 20 & 179 cm (5 ft 10.5 in) & graz (originally from bosnia) & 1st eliminated in episode 10 \\
13 & melisa popanicic & 16 & 175 cm (5 ft 9 in) & worgl & 2nd eliminated in episode 10 \\
14 & gina zeneb adamu & 17 & 175 cm (5 ft 9 in) & bad voslau & runner-up \\
15 & antonia maria hausmair & 16 & 175 cm (5 ft 9 in) & siegendorf & winner \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& home city \\
\midrule
0 & liefering (originally from serbia) \\
\bottomrule
\end{tabular}
| select home city where contestant = 'natasa maric' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>contestant</th>
<th>age</th>
<th>height</th>
<th>home city</th>
<th>rank</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>isabelle raisa</td>
<td>16</td>
<td>170 cm (5 ft 7 in)</td>
<td>vienna</td>
<td>eliminated in episode 1</td>
</tr>
<tr>
<th>1</th>
<td>alina chlebecek</td>
<td>18</td>
<td>170 cm (5 ft 7 in)</td>
<td>deutsch-wagram</td>
<td>eliminated in episode 1</td>
</tr>
<tr>
<th>2</th>
<td>sabrina angelika rauch</td>
<td>21</td>
<td>175 cm (5 ft 9 in)</td>
<td>graz</td>
<td>eliminated in episode 2</td>
</tr>
<tr>
<th>3</th>
<td>katharina mihalovic</td>
<td>23</td>
<td>179 cm (5 ft 10.5 in)</td>
<td>vienna</td>
<td>eliminated in episode 2</td>
</tr>
<tr>
<th>4</th>
<td>natasa maric</td>
<td>16</td>
<td>175 cm (5 ft 9 in)</td>
<td>liefering (originally from serbia)</td>
<td>eliminated in episode 3</td>
</tr>
<tr>
<th>5</th>
<td>michaela schopf</td>
<td>21</td>
<td>172 cm (5 ft 7.5 in)</td>
<td>salzburg (originally from germany)</td>
<td>quit in episode 4</td>
</tr>
<tr>
<th>6</th>
<td>christine riener</td>
<td>20</td>
<td>181 cm (5 ft 11.25 in)</td>
<td>bludenz</td>
<td>eliminated in episode 4</td>
</tr>
<tr>
<th>7</th>
<td>teodora-madalina andreica</td>
<td>17</td>
<td>177 cm (5 ft 9.5 in)</td>
<td>romania</td>
<td>eliminated in episode 6</td>
</tr>
<tr>
<th>8</th>
<td>yemisi rieger</td>
<td>17</td>
<td>177 cm (5 ft 9.5 in)</td>
<td>vienna</td>
<td>eliminated in episode 7</td>
</tr>
<tr>
<th>9</th>
<td>izabela pop kostic</td>
<td>20</td>
<td>170 cm (5 ft 7 in)</td>
<td>vienna (originally from bosnia)</td>
<td>eliminated in episode 8</td>
</tr>
<tr>
<th>10</th>
<td>bianca ebelsberger</td>
<td>24</td>
<td>179 cm (5 ft 10.5 in)</td>
<td>aurach am hongar</td>
<td>eliminated in episode 9</td>
</tr>
<tr>
<th>11</th>
<td>nadine trinker</td>
<td>21</td>
<td>183 cm (6 ft 0 in)</td>
<td>bodensdorf</td>
<td>eliminated in episode 9</td>
</tr>
<tr>
<th>12</th>
<td>dzejlana "lana" baltic</td>
<td>20</td>
<td>179 cm (5 ft 10.5 in)</td>
<td>graz (originally from bosnia)</td>
<td>1st eliminated in episode 10</td>
</tr>
<tr>
<th>13</th>
<td>melisa popanicic</td>
<td>16</td>
<td>175 cm (5 ft 9 in)</td>
<td>worgl</td>
<td>2nd eliminated in episode 10</td>
</tr>
<tr>
<th>14</th>
<td>gina zeneb adamu</td>
<td>17</td>
<td>175 cm (5 ft 9 in)</td>
<td>bad voslau</td>
<td>runner-up</td>
</tr>
<tr>
<th>15</th>
<td>antonia maria hausmair</td>
<td>16</td>
<td>175 cm (5 ft 9 in)</td>
<td>siegendorf</td>
<td>winner</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>home city</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>liefering (originally from serbia)</td>
</tr>
</tbody>
</table> | select home city where contestant = 'natasa maric' <table_name> : table | | contestant | age | height | home city | rank |
|---:|:--------------------------|------:|:-----------------------|:-----------------------------------|:-----------------------------|
| 0 | isabelle raisa | 16 | 170 cm (5 ft 7 in) | vienna | eliminated in episode 1 |
| 1 | alina chlebecek | 18 | 170 cm (5 ft 7 in) | deutsch-wagram | eliminated in episode 1 |
| 2 | sabrina angelika rauch | 21 | 175 cm (5 ft 9 in) | graz | eliminated in episode 2 |
| 3 | katharina mihalovic | 23 | 179 cm (5 ft 10.5 in) | vienna | eliminated in episode 2 |
| 4 | natasa maric | 16 | 175 cm (5 ft 9 in) | liefering (originally from serbia) | eliminated in episode 3 |
| 5 | michaela schopf | 21 | 172 cm (5 ft 7.5 in) | salzburg (originally from germany) | quit in episode 4 |
| 6 | christine riener | 20 | 181 cm (5 ft 11.25 in) | bludenz | eliminated in episode 4 |
| 7 | teodora-madalina andreica | 17 | 177 cm (5 ft 9.5 in) | romania | eliminated in episode 6 |
| 8 | yemisi rieger | 17 | 177 cm (5 ft 9.5 in) | vienna | eliminated in episode 7 |
| 9 | izabela pop kostic | 20 | 170 cm (5 ft 7 in) | vienna (originally from bosnia) | eliminated in episode 8 |
| 10 | bianca ebelsberger | 24 | 179 cm (5 ft 10.5 in) | aurach am hongar | eliminated in episode 9 |
| 11 | nadine trinker | 21 | 183 cm (6 ft 0 in) | bodensdorf | eliminated in episode 9 |
| 12 | dzejlana "lana" baltic | 20 | 179 cm (5 ft 10.5 in) | graz (originally from bosnia) | 1st eliminated in episode 10 |
| 13 | melisa popanicic | 16 | 175 cm (5 ft 9 in) | worgl | 2nd eliminated in episode 10 |
| 14 | gina zeneb adamu | 17 | 175 cm (5 ft 9 in) | bad voslau | runner-up |
| 15 | antonia maria hausmair | 16 | 175 cm (5 ft 9 in) | siegendorf | winner | | | | home city |
|---:|:-----------------------------------|
| 0 | liefering (originally from serbia) | | [
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select result where opponent = 'new orleans saints' 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 : result row 1 : w 29-17 | select result where opponent = 'new orleans saints' <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
& result \\
\midrule
0 & w 29-17 \\
\bottomrule
\end{tabular}
| select result where opponent = 'new orleans saints' <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>result</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>w 29-17</td>
</tr>
</tbody>
</table> | select result where opponent = 'new orleans saints' <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 | | | | result |
|---:|:---------|
| 0 | w 29-17 | | [
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select player name where player name = 'rodney martin' col : rank | player name | no. of titles | runner-up | final appearances row 1 : 1 | jansher khan | 8 | 1 | 9 row 2 : 2 | jahangir khan | 6 | 3 | 9 row 3 : 3 | geoff hunt | 4 | 1 | 5 row 4 : 4 | amr shabana | 4 | 0 | 4 row 5 : 5 | nick matthew | 3 | 0 | 3 row 6 : 6 | ramy ashour | 2 | 1 | 3 row 7 : 6 | david palmer | 2 | 1 | 3 row 8 : 8 | peter nicol | 1 | 2 | 3 row 9 : 9 | rodney eyles | 1 | 1 | 2 row 10 : 9 | thierry lincou | 1 | 1 | 2 row 11 : 9 | ross norman | 1 | 1 | 2 row 12 : 12 | rodney martin | 1 | 0 | 1 row 13 : 12 | jonathon power | 1 | 0 | 1 row 14 : 14 | chris dittmar | 0 | 5 | 5 row 15 : 15 | gregory gaultier | 0 | 4 | 4 row 16 : 15 | qamar zaman | 0 | 4 | 4 row 17 : 17 | ahmed barada | 0 | 1 | 1 row 18 : 17 | lee beachill | 0 | 1 | 1 row 19 : 17 | karim darwish | 0 | 1 | 1 row 20 : 17 | mohamed el shorbagy | 0 | 1 | 1 row 21 : 17 | del harris | 0 | 1 | 1 row 22 : 17 | mohibullah khan | 0 | 1 | 1 row 23 : 17 | peter marshall | 0 | 1 | 1 row 24 : 17 | john white | 0 | 1 | 1 row 25 : 17 | dean williams | 0 | 1 | 1 row 26 : 17 | james willstrop | 0 | 1 | 1 | col : player name row 1 : rodney martin | select player name where player name = 'rodney martin' <table_name> : table \begin{tabular}{llllll}
\toprule
& rank & player name & no. of titles & runner-up & final appearances \\
\midrule
0 & 1 & jansher khan & 8 & 1 & 9 \\
1 & 2 & jahangir khan & 6 & 3 & 9 \\
2 & 3 & geoff hunt & 4 & 1 & 5 \\
3 & 4 & amr shabana & 4 & 0 & 4 \\
4 & 5 & nick matthew & 3 & 0 & 3 \\
5 & 6 & ramy ashour & 2 & 1 & 3 \\
6 & 6 & david palmer & 2 & 1 & 3 \\
7 & 8 & peter nicol & 1 & 2 & 3 \\
8 & 9 & rodney eyles & 1 & 1 & 2 \\
9 & 9 & thierry lincou & 1 & 1 & 2 \\
10 & 9 & ross norman & 1 & 1 & 2 \\
11 & 12 & rodney martin & 1 & 0 & 1 \\
12 & 12 & jonathon power & 1 & 0 & 1 \\
13 & 14 & chris dittmar & 0 & 5 & 5 \\
14 & 15 & gregory gaultier & 0 & 4 & 4 \\
15 & 15 & qamar zaman & 0 & 4 & 4 \\
16 & 17 & ahmed barada & 0 & 1 & 1 \\
17 & 17 & lee beachill & 0 & 1 & 1 \\
18 & 17 & karim darwish & 0 & 1 & 1 \\
19 & 17 & mohamed el shorbagy & 0 & 1 & 1 \\
20 & 17 & del harris & 0 & 1 & 1 \\
21 & 17 & mohibullah khan & 0 & 1 & 1 \\
22 & 17 & peter marshall & 0 & 1 & 1 \\
23 & 17 & john white & 0 & 1 & 1 \\
24 & 17 & dean williams & 0 & 1 & 1 \\
25 & 17 & james willstrop & 0 & 1 & 1 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& player name \\
\midrule
0 & rodney martin \\
\bottomrule
\end{tabular}
| select player name where player name = 'rodney martin' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>player name</th>
<th>no. of titles</th>
<th>runner-up</th>
<th>final appearances</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>jansher khan</td>
<td>8</td>
<td>1</td>
<td>9</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>jahangir khan</td>
<td>6</td>
<td>3</td>
<td>9</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>geoff hunt</td>
<td>4</td>
<td>1</td>
<td>5</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>amr shabana</td>
<td>4</td>
<td>0</td>
<td>4</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>nick matthew</td>
<td>3</td>
<td>0</td>
<td>3</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>ramy ashour</td>
<td>2</td>
<td>1</td>
<td>3</td>
</tr>
<tr>
<th>6</th>
<td>6</td>
<td>david palmer</td>
<td>2</td>
<td>1</td>
<td>3</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>peter nicol</td>
<td>1</td>
<td>2</td>
<td>3</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>rodney eyles</td>
<td>1</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<th>9</th>
<td>9</td>
<td>thierry lincou</td>
<td>1</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<th>10</th>
<td>9</td>
<td>ross norman</td>
<td>1</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>rodney martin</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>12</th>
<td>12</td>
<td>jonathon power</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>chris dittmar</td>
<td>0</td>
<td>5</td>
<td>5</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>gregory gaultier</td>
<td>0</td>
<td>4</td>
<td>4</td>
</tr>
<tr>
<th>15</th>
<td>15</td>
<td>qamar zaman</td>
<td>0</td>
<td>4</td>
<td>4</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>ahmed barada</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>17</th>
<td>17</td>
<td>lee beachill</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>18</th>
<td>17</td>
<td>karim darwish</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>19</th>
<td>17</td>
<td>mohamed el shorbagy</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>20</th>
<td>17</td>
<td>del harris</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>21</th>
<td>17</td>
<td>mohibullah khan</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>22</th>
<td>17</td>
<td>peter marshall</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>23</th>
<td>17</td>
<td>john white</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>24</th>
<td>17</td>
<td>dean williams</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>25</th>
<td>17</td>
<td>james willstrop</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>player name</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>rodney martin</td>
</tr>
</tbody>
</table> | select player name where player name = 'rodney martin' <table_name> : table | | rank | player name | no. of titles | runner-up | final appearances |
|---:|-------:|:--------------------|----------------:|------------:|--------------------:|
| 0 | 1 | jansher khan | 8 | 1 | 9 |
| 1 | 2 | jahangir khan | 6 | 3 | 9 |
| 2 | 3 | geoff hunt | 4 | 1 | 5 |
| 3 | 4 | amr shabana | 4 | 0 | 4 |
| 4 | 5 | nick matthew | 3 | 0 | 3 |
| 5 | 6 | ramy ashour | 2 | 1 | 3 |
| 6 | 6 | david palmer | 2 | 1 | 3 |
| 7 | 8 | peter nicol | 1 | 2 | 3 |
| 8 | 9 | rodney eyles | 1 | 1 | 2 |
| 9 | 9 | thierry lincou | 1 | 1 | 2 |
| 10 | 9 | ross norman | 1 | 1 | 2 |
| 11 | 12 | rodney martin | 1 | 0 | 1 |
| 12 | 12 | jonathon power | 1 | 0 | 1 |
| 13 | 14 | chris dittmar | 0 | 5 | 5 |
| 14 | 15 | gregory gaultier | 0 | 4 | 4 |
| 15 | 15 | qamar zaman | 0 | 4 | 4 |
| 16 | 17 | ahmed barada | 0 | 1 | 1 |
| 17 | 17 | lee beachill | 0 | 1 | 1 |
| 18 | 17 | karim darwish | 0 | 1 | 1 |
| 19 | 17 | mohamed el shorbagy | 0 | 1 | 1 |
| 20 | 17 | del harris | 0 | 1 | 1 |
| 21 | 17 | mohibullah khan | 0 | 1 | 1 |
| 22 | 17 | peter marshall | 0 | 1 | 1 |
| 23 | 17 | john white | 0 | 1 | 1 |
| 24 | 17 | dean williams | 0 | 1 | 1 |
| 25 | 17 | james willstrop | 0 | 1 | 1 | | | | player name |
|---:|:--------------|
| 0 | rodney martin | | [
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select driver where driver = 'robert doornbos' order by driver asc limit 267 col : pos | no | driver | team | laps | time/retired | grid | points row 1 : 1 | 5 | will power | team australia | 73 | 1:45:58.568 | 7 | 31 row 2 : 2 | 21 | neel jani | pkv racing | 73 | 2.972 | 9 | 28 row 3 : 3 | 9 | justin wilson | rsports | 73 | 3.48 | 2 | 25 row 4 : 4 | 15 | simon pagenaud | team australia | 73 | 5.643 | 4 | 23 row 5 : 5 | 19 | bruno junqueira | dale coyne racing | 73 | 20.738 | 5 | 21 row 6 : 6 | 14 | robert doornbos | minardi team usa | 72 | + 1 lap | 12 | 19 row 7 : 7 | 28 | ryan dalziel | pacific coast motorsports | 72 | + 1 lap | 11 | 17 row 8 : 8 | 8 | alex tagliani | rsports | 71 | + 2 laps | 6 | 15 row 9 : 9 | 1 | sebastien bourdais | n/h/l racing | 67 | contact | 1 | 16 row 10 : 10 | 7 | oriol servia | forsythe racing | 56 | contact | 3 | 11 row 11 : 11 | 2 | graham rahal | n/h/l racing | 52 | contact | 15 | 10 row 12 : 12 | 4 | dan clarke | minardi team usa | 43 | contact | 13 | 9 row 13 : 13 | 34 | jan heylen | conquest racing | 1 | contact | 8 | 8 row 14 : 14 | 3 | paul tracy | forsythe racing | 0 | contact | 10 | 7 row 15 : 15 | 22 | tristan gommendy | pkv racing | 0 | contact | 14 | 6 row 16 : 16 | 11 | katherine legge | dale coyne racing | 0 | contact | 16 | 5 row 17 : 17 | 29 | alex figge | pacific coast motorsports | 0 | contact | 17 | 4 | col : driver row 1 : robert doornbos | select driver where driver = 'robert doornbos' order by driver asc limit 267 <table_name> : table \begin{tabular}{lllllllll}
\toprule
& pos & no & driver & team & laps & time/retired & grid & points \\
\midrule
0 & 1 & 5 & will power & team australia & 73 & 1:45:58.568 & 7 & 31 \\
1 & 2 & 21 & neel jani & pkv racing & 73 & 2.972 & 9 & 28 \\
2 & 3 & 9 & justin wilson & rsports & 73 & 3.48 & 2 & 25 \\
3 & 4 & 15 & simon pagenaud & team australia & 73 & 5.643 & 4 & 23 \\
4 & 5 & 19 & bruno junqueira & dale coyne racing & 73 & 20.738 & 5 & 21 \\
5 & 6 & 14 & robert doornbos & minardi team usa & 72 & + 1 lap & 12 & 19 \\
6 & 7 & 28 & ryan dalziel & pacific coast motorsports & 72 & + 1 lap & 11 & 17 \\
7 & 8 & 8 & alex tagliani & rsports & 71 & + 2 laps & 6 & 15 \\
8 & 9 & 1 & sebastien bourdais & n/h/l racing & 67 & contact & 1 & 16 \\
9 & 10 & 7 & oriol servia & forsythe racing & 56 & contact & 3 & 11 \\
10 & 11 & 2 & graham rahal & n/h/l racing & 52 & contact & 15 & 10 \\
11 & 12 & 4 & dan clarke & minardi team usa & 43 & contact & 13 & 9 \\
12 & 13 & 34 & jan heylen & conquest racing & 1 & contact & 8 & 8 \\
13 & 14 & 3 & paul tracy & forsythe racing & 0 & contact & 10 & 7 \\
14 & 15 & 22 & tristan gommendy & pkv racing & 0 & contact & 14 & 6 \\
15 & 16 & 11 & katherine legge & dale coyne racing & 0 & contact & 16 & 5 \\
16 & 17 & 29 & alex figge & pacific coast motorsports & 0 & contact & 17 & 4 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& driver \\
\midrule
0 & robert doornbos \\
\bottomrule
\end{tabular}
| select driver where driver = 'robert doornbos' order by driver asc limit 267 <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>5</td>
<td>will power</td>
<td>team australia</td>
<td>73</td>
<td>1:45:58.568</td>
<td>7</td>
<td>31</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>21</td>
<td>neel jani</td>
<td>pkv racing</td>
<td>73</td>
<td>2.972</td>
<td>9</td>
<td>28</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>9</td>
<td>justin wilson</td>
<td>rsports</td>
<td>73</td>
<td>3.48</td>
<td>2</td>
<td>25</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>15</td>
<td>simon pagenaud</td>
<td>team australia</td>
<td>73</td>
<td>5.643</td>
<td>4</td>
<td>23</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>19</td>
<td>bruno junqueira</td>
<td>dale coyne racing</td>
<td>73</td>
<td>20.738</td>
<td>5</td>
<td>21</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>14</td>
<td>robert doornbos</td>
<td>minardi team usa</td>
<td>72</td>
<td>+ 1 lap</td>
<td>12</td>
<td>19</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>28</td>
<td>ryan dalziel</td>
<td>pacific coast motorsports</td>
<td>72</td>
<td>+ 1 lap</td>
<td>11</td>
<td>17</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>8</td>
<td>alex tagliani</td>
<td>rsports</td>
<td>71</td>
<td>+ 2 laps</td>
<td>6</td>
<td>15</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>1</td>
<td>sebastien bourdais</td>
<td>n/h/l racing</td>
<td>67</td>
<td>contact</td>
<td>1</td>
<td>16</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>7</td>
<td>oriol servia</td>
<td>forsythe racing</td>
<td>56</td>
<td>contact</td>
<td>3</td>
<td>11</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>2</td>
<td>graham rahal</td>
<td>n/h/l racing</td>
<td>52</td>
<td>contact</td>
<td>15</td>
<td>10</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>4</td>
<td>dan clarke</td>
<td>minardi team usa</td>
<td>43</td>
<td>contact</td>
<td>13</td>
<td>9</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>34</td>
<td>jan heylen</td>
<td>conquest racing</td>
<td>1</td>
<td>contact</td>
<td>8</td>
<td>8</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>3</td>
<td>paul tracy</td>
<td>forsythe racing</td>
<td>0</td>
<td>contact</td>
<td>10</td>
<td>7</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>22</td>
<td>tristan gommendy</td>
<td>pkv racing</td>
<td>0</td>
<td>contact</td>
<td>14</td>
<td>6</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>11</td>
<td>katherine legge</td>
<td>dale coyne racing</td>
<td>0</td>
<td>contact</td>
<td>16</td>
<td>5</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>29</td>
<td>alex figge</td>
<td>pacific coast motorsports</td>
<td>0</td>
<td>contact</td>
<td>17</td>
<td>4</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>robert doornbos</td>
</tr>
</tbody>
</table> | select driver where driver = 'robert doornbos' order by driver asc limit 267 <table_name> : table | | pos | no | driver | team | laps | time/retired | grid | points |
|---:|------:|-----:|:-------------------|:--------------------------|-------:|:---------------|-------:|---------:|
| 0 | 1 | 5 | will power | team australia | 73 | 1:45:58.568 | 7 | 31 |
| 1 | 2 | 21 | neel jani | pkv racing | 73 | 2.972 | 9 | 28 |
| 2 | 3 | 9 | justin wilson | rsports | 73 | 3.48 | 2 | 25 |
| 3 | 4 | 15 | simon pagenaud | team australia | 73 | 5.643 | 4 | 23 |
| 4 | 5 | 19 | bruno junqueira | dale coyne racing | 73 | 20.738 | 5 | 21 |
| 5 | 6 | 14 | robert doornbos | minardi team usa | 72 | + 1 lap | 12 | 19 |
| 6 | 7 | 28 | ryan dalziel | pacific coast motorsports | 72 | + 1 lap | 11 | 17 |
| 7 | 8 | 8 | alex tagliani | rsports | 71 | + 2 laps | 6 | 15 |
| 8 | 9 | 1 | sebastien bourdais | n/h/l racing | 67 | contact | 1 | 16 |
| 9 | 10 | 7 | oriol servia | forsythe racing | 56 | contact | 3 | 11 |
| 10 | 11 | 2 | graham rahal | n/h/l racing | 52 | contact | 15 | 10 |
| 11 | 12 | 4 | dan clarke | minardi team usa | 43 | contact | 13 | 9 |
| 12 | 13 | 34 | jan heylen | conquest racing | 1 | contact | 8 | 8 |
| 13 | 14 | 3 | paul tracy | forsythe racing | 0 | contact | 10 | 7 |
| 14 | 15 | 22 | tristan gommendy | pkv racing | 0 | contact | 14 | 6 |
| 15 | 16 | 11 | katherine legge | dale coyne racing | 0 | contact | 16 | 5 |
| 16 | 17 | 29 | alex figge | pacific coast motorsports | 0 | contact | 17 | 4 | | | | driver |
|---:|:----------------|
| 0 | robert doornbos | | [
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select counties represented where first elected = 1986 col : district | counties represented | delegate | party | first elected | committee row 1 : 1a | allegany, garrett | wendell r. beitzel | republican | 2006 | health and government operations row 2 : 1b | allegany | kevin kelly | democratic | 1986 | judiciary row 3 : 1c | allegany, washington | leroy e. myers, jr | republican | 2002 | appropriations row 4 : 2a | washington | andrew a. serafini | republican | 2008 | ways and means row 5 : 2b | washington | christopher b. shank | republican | 1998 | judiciary row 6 : 2c | washington | john p. donoghue | democratic | 1990 | health and government operations row 7 : 3a | frederick | galen r. clagett | democratic | 2002 | appropriations row 8 : 3a | frederick | sue hecht | democratic | 1994 | economic matters row 9 : 3b | frederick, washington | michael hough | republican | 2002 | health and government operations row 10 : 4a | frederick | joseph r. bartlett | republican | 1998 | ways and means row 11 : 4a | frederick | kelly m. schulz | republican | 2011 | environmental matters row 12 : 4b | carroll, frederick | donald b. elliott | republican | 1986 | health and government operations row 13 : 5a | carroll | tanya thornton shewell | republican | 2004 | environmental matters row 14 : 5a | carroll | nancy r. stocksdale | republican | 1994 | appropriations row 15 : 9b | carroll | susan w. krebs | republican | 2002 | ways and means | col : count ( "counties represented" ) row 1 : 2 | select counties represented where first elected = 1986 <table_name> : table \begin{tabular}{lllllll}
\toprule
& district & counties represented & delegate & party & first elected & committee \\
\midrule
0 & 1a & allegany, garrett & wendell r. beitzel & republican & 2006 & health and government operations \\
1 & 1b & allegany & kevin kelly & democratic & 1986 & judiciary \\
2 & 1c & allegany, washington & leroy e. myers, jr & republican & 2002 & appropriations \\
3 & 2a & washington & andrew a. serafini & republican & 2008 & ways and means \\
4 & 2b & washington & christopher b. shank & republican & 1998 & judiciary \\
5 & 2c & washington & john p. donoghue & democratic & 1990 & health and government operations \\
6 & 3a & frederick & galen r. clagett & democratic & 2002 & appropriations \\
7 & 3a & frederick & sue hecht & democratic & 1994 & economic matters \\
8 & 3b & frederick, washington & michael hough & republican & 2002 & health and government operations \\
9 & 4a & frederick & joseph r. bartlett & republican & 1998 & ways and means \\
10 & 4a & frederick & kelly m. schulz & republican & 2011 & environmental matters \\
11 & 4b & carroll, frederick & donald b. elliott & republican & 1986 & health and government operations \\
12 & 5a & carroll & tanya thornton shewell & republican & 2004 & environmental matters \\
13 & 5a & carroll & nancy r. stocksdale & republican & 1994 & appropriations \\
14 & 9b & carroll & susan w. krebs & republican & 2002 & ways and means \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "counties represented" ) \\
\midrule
0 & 2 \\
\bottomrule
\end{tabular}
| select counties represented where first elected = 1986 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>district</th>
<th>counties represented</th>
<th>delegate</th>
<th>party</th>
<th>first elected</th>
<th>committee</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1a</td>
<td>allegany, garrett</td>
<td>wendell r. beitzel</td>
<td>republican</td>
<td>2006</td>
<td>health and government operations</td>
</tr>
<tr>
<th>1</th>
<td>1b</td>
<td>allegany</td>
<td>kevin kelly</td>
<td>democratic</td>
<td>1986</td>
<td>judiciary</td>
</tr>
<tr>
<th>2</th>
<td>1c</td>
<td>allegany, washington</td>
<td>leroy e. myers, jr</td>
<td>republican</td>
<td>2002</td>
<td>appropriations</td>
</tr>
<tr>
<th>3</th>
<td>2a</td>
<td>washington</td>
<td>andrew a. serafini</td>
<td>republican</td>
<td>2008</td>
<td>ways and means</td>
</tr>
<tr>
<th>4</th>
<td>2b</td>
<td>washington</td>
<td>christopher b. shank</td>
<td>republican</td>
<td>1998</td>
<td>judiciary</td>
</tr>
<tr>
<th>5</th>
<td>2c</td>
<td>washington</td>
<td>john p. donoghue</td>
<td>democratic</td>
<td>1990</td>
<td>health and government operations</td>
</tr>
<tr>
<th>6</th>
<td>3a</td>
<td>frederick</td>
<td>galen r. clagett</td>
<td>democratic</td>
<td>2002</td>
<td>appropriations</td>
</tr>
<tr>
<th>7</th>
<td>3a</td>
<td>frederick</td>
<td>sue hecht</td>
<td>democratic</td>
<td>1994</td>
<td>economic matters</td>
</tr>
<tr>
<th>8</th>
<td>3b</td>
<td>frederick, washington</td>
<td>michael hough</td>
<td>republican</td>
<td>2002</td>
<td>health and government operations</td>
</tr>
<tr>
<th>9</th>
<td>4a</td>
<td>frederick</td>
<td>joseph r. bartlett</td>
<td>republican</td>
<td>1998</td>
<td>ways and means</td>
</tr>
<tr>
<th>10</th>
<td>4a</td>
<td>frederick</td>
<td>kelly m. schulz</td>
<td>republican</td>
<td>2011</td>
<td>environmental matters</td>
</tr>
<tr>
<th>11</th>
<td>4b</td>
<td>carroll, frederick</td>
<td>donald b. elliott</td>
<td>republican</td>
<td>1986</td>
<td>health and government operations</td>
</tr>
<tr>
<th>12</th>
<td>5a</td>
<td>carroll</td>
<td>tanya thornton shewell</td>
<td>republican</td>
<td>2004</td>
<td>environmental matters</td>
</tr>
<tr>
<th>13</th>
<td>5a</td>
<td>carroll</td>
<td>nancy r. stocksdale</td>
<td>republican</td>
<td>1994</td>
<td>appropriations</td>
</tr>
<tr>
<th>14</th>
<td>9b</td>
<td>carroll</td>
<td>susan w. krebs</td>
<td>republican</td>
<td>2002</td>
<td>ways and means</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "counties represented" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2</td>
</tr>
</tbody>
</table> | select counties represented where first elected = 1986 <table_name> : table | | district | counties represented | delegate | party | first elected | committee |
|---:|:-----------|:-----------------------|:-----------------------|:-----------|----------------:|:---------------------------------|
| 0 | 1a | allegany, garrett | wendell r. beitzel | republican | 2006 | health and government operations |
| 1 | 1b | allegany | kevin kelly | democratic | 1986 | judiciary |
| 2 | 1c | allegany, washington | leroy e. myers, jr | republican | 2002 | appropriations |
| 3 | 2a | washington | andrew a. serafini | republican | 2008 | ways and means |
| 4 | 2b | washington | christopher b. shank | republican | 1998 | judiciary |
| 5 | 2c | washington | john p. donoghue | democratic | 1990 | health and government operations |
| 6 | 3a | frederick | galen r. clagett | democratic | 2002 | appropriations |
| 7 | 3a | frederick | sue hecht | democratic | 1994 | economic matters |
| 8 | 3b | frederick, washington | michael hough | republican | 2002 | health and government operations |
| 9 | 4a | frederick | joseph r. bartlett | republican | 1998 | ways and means |
| 10 | 4a | frederick | kelly m. schulz | republican | 2011 | environmental matters |
| 11 | 4b | carroll, frederick | donald b. elliott | republican | 1986 | health and government operations |
| 12 | 5a | carroll | tanya thornton shewell | republican | 2004 | environmental matters |
| 13 | 5a | carroll | nancy r. stocksdale | republican | 1994 | appropriations |
| 14 | 9b | carroll | susan w. krebs | republican | 2002 | ways and means | | | | count ( "counties represented" ) |
|---:|-----------------------------------:|
| 0 | 2 | | [
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select count ( airline ) where iata = 'royal daisy airlines' col : airline | icao | iata | callsign | commenced operations row 1 : air uganda | uga | u7 | uganda | 2007 row 2 : eagle air (uganda) | egu | h7 | african eagle | 1994 row 3 : fly540 uganda | ful | none | orange crane | 2008 row 4 : pearl air services | pby | none | pearl services | none row 5 : royal daisy airlines | kdr | 6d | darlines | 2005 row 6 : skyjet airlines | sju | uq | skyjet | 2003 row 7 : africa safari air | asa | as | asa | 2013 row 8 : uganda air cargo | ucc | none | uganda cargo | 1994 row 9 : united airlines limited | none | none | none | none | col : count ( "airline" ) row 1 : 0 | select count ( airline ) where iata = 'royal daisy airlines' <table_name> : table \begin{tabular}{llllll}
\toprule
& airline & icao & iata & callsign & commenced operations \\
\midrule
0 & air uganda & uga & u7 & uganda & 2007 \\
1 & eagle air (uganda) & egu & h7 & african eagle & 1994 \\
2 & fly540 uganda & ful & none & orange crane & 2008 \\
3 & pearl air services & pby & none & pearl services & none \\
4 & royal daisy airlines & kdr & 6d & darlines & 2005 \\
5 & skyjet airlines & sju & uq & skyjet & 2003 \\
6 & africa safari air & asa & as & asa & 2013 \\
7 & uganda air cargo & ucc & none & uganda cargo & 1994 \\
8 & united airlines limited & none & none & none & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "airline" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( airline ) where iata = 'royal daisy airlines' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>airline</th>
<th>icao</th>
<th>iata</th>
<th>callsign</th>
<th>commenced operations</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>air uganda</td>
<td>uga</td>
<td>u7</td>
<td>uganda</td>
<td>2007</td>
</tr>
<tr>
<th>1</th>
<td>eagle air (uganda)</td>
<td>egu</td>
<td>h7</td>
<td>african eagle</td>
<td>1994</td>
</tr>
<tr>
<th>2</th>
<td>fly540 uganda</td>
<td>ful</td>
<td>none</td>
<td>orange crane</td>
<td>2008</td>
</tr>
<tr>
<th>3</th>
<td>pearl air services</td>
<td>pby</td>
<td>none</td>
<td>pearl services</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>royal daisy airlines</td>
<td>kdr</td>
<td>6d</td>
<td>darlines</td>
<td>2005</td>
</tr>
<tr>
<th>5</th>
<td>skyjet airlines</td>
<td>sju</td>
<td>uq</td>
<td>skyjet</td>
<td>2003</td>
</tr>
<tr>
<th>6</th>
<td>africa safari air</td>
<td>asa</td>
<td>as</td>
<td>asa</td>
<td>2013</td>
</tr>
<tr>
<th>7</th>
<td>uganda air cargo</td>
<td>ucc</td>
<td>none</td>
<td>uganda cargo</td>
<td>1994</td>
</tr>
<tr>
<th>8</th>
<td>united airlines limited</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 ( "airline" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select count ( airline ) where iata = 'royal daisy airlines' <table_name> : table | | airline | icao | iata | callsign | commenced operations |
|---:|:------------------------|:-------|:-------|:---------------|:-----------------------|
| 0 | air uganda | uga | u7 | uganda | 2007 |
| 1 | eagle air (uganda) | egu | h7 | african eagle | 1994 |
| 2 | fly540 uganda | ful | none | orange crane | 2008 |
| 3 | pearl air services | pby | none | pearl services | none |
| 4 | royal daisy airlines | kdr | 6d | darlines | 2005 |
| 5 | skyjet airlines | sju | uq | skyjet | 2003 |
| 6 | africa safari air | asa | as | asa | 2013 |
| 7 | uganda air cargo | ucc | none | uganda cargo | 1994 |
| 8 | united airlines limited | none | none | none | none | | | | count ( "airline" ) |
|---:|----------------------:|
| 0 | 0 | | [
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select count ( team ) where team = 'esteghlal' col : season | team | country | division | apps | goals | assists row 1 : 01/02 | esteghlal | iran | 1 | none | 3 | none row 2 : 02/03 | esteghlal | iran | 1 | none | 2 | none row 3 : 03/04 | esteghlal | iran | 1 | none | 6 | none row 4 : 04/05 | eseghlal | iran | 1 | 27 | 3 | none row 5 : 05/06 | esteghlal | iran | 1 | 21 | 0 | 2 row 6 : 06/07 | esteghlal | iran | 1 | 14 | 1 | 1 row 7 : 07/08 | steel azin | iran | 1 | none | 2 | none row 8 : 10/11 | gostaresh foolad | iran | 2 | 0 | 0 | 0 | col : count ( "team" ) row 1 : 5 | select count ( team ) where team = 'esteghlal' <table_name> : table \begin{tabular}{llllllll}
\toprule
& season & team & country & division & apps & goals & assists \\
\midrule
0 & 01/02 & esteghlal & iran & 1 & none & 3 & none \\
1 & 02/03 & esteghlal & iran & 1 & none & 2 & none \\
2 & 03/04 & esteghlal & iran & 1 & none & 6 & none \\
3 & 04/05 & eseghlal & iran & 1 & 27 & 3 & none \\
4 & 05/06 & esteghlal & iran & 1 & 21 & 0 & 2 \\
5 & 06/07 & esteghlal & iran & 1 & 14 & 1 & 1 \\
6 & 07/08 & steel azin & iran & 1 & none & 2 & none \\
7 & 10/11 & gostaresh foolad & iran & 2 & 0 & 0 & 0 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "team" ) \\
\midrule
0 & 5 \\
\bottomrule
\end{tabular}
| select count ( team ) where team = 'esteghlal' <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>division</th>
<th>apps</th>
<th>goals</th>
<th>assists</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>01/02</td>
<td>esteghlal</td>
<td>iran</td>
<td>1</td>
<td>none</td>
<td>3</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>02/03</td>
<td>esteghlal</td>
<td>iran</td>
<td>1</td>
<td>none</td>
<td>2</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>03/04</td>
<td>esteghlal</td>
<td>iran</td>
<td>1</td>
<td>none</td>
<td>6</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>04/05</td>
<td>eseghlal</td>
<td>iran</td>
<td>1</td>
<td>27</td>
<td>3</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>05/06</td>
<td>esteghlal</td>
<td>iran</td>
<td>1</td>
<td>21</td>
<td>0</td>
<td>2</td>
</tr>
<tr>
<th>5</th>
<td>06/07</td>
<td>esteghlal</td>
<td>iran</td>
<td>1</td>
<td>14</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>6</th>
<td>07/08</td>
<td>steel azin</td>
<td>iran</td>
<td>1</td>
<td>none</td>
<td>2</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>10/11</td>
<td>gostaresh foolad</td>
<td>iran</td>
<td>2</td>
<td>0</td>
<td>0</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>5</td>
</tr>
</tbody>
</table> | select count ( team ) where team = 'esteghlal' <table_name> : table | | season | team | country | division | apps | goals | assists |
|---:|:---------|:-----------------|:----------|-----------:|:-------|--------:|:----------|
| 0 | 01/02 | esteghlal | iran | 1 | none | 3 | none |
| 1 | 02/03 | esteghlal | iran | 1 | none | 2 | none |
| 2 | 03/04 | esteghlal | iran | 1 | none | 6 | none |
| 3 | 04/05 | eseghlal | iran | 1 | 27 | 3 | none |
| 4 | 05/06 | esteghlal | iran | 1 | 21 | 0 | 2 |
| 5 | 06/07 | esteghlal | iran | 1 | 14 | 1 | 1 |
| 6 | 07/08 | steel azin | iran | 1 | none | 2 | none |
| 7 | 10/11 | gostaresh foolad | iran | 2 | 0 | 0 | 0 | | | | count ( "team" ) |
|---:|-------------------:|
| 0 | 5 | | [
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