tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 485861d1477117179-find-trends-in-employee-data-example
Sheet: page 19

Tur | Mandag | Tirsdag | Onsdag | Torsdag | Fredag | Lørdag | Søndag
3 7 |  |  | 6:02     15:40 | 14:12    23:55 | 14:12    23:55 | 14:12    23:55 | 22:17     7:30
 |  |  | 14:12    23:55
 |  |  | 6:00     15:00 | 6:02     15:40 | 6:02     15:40 | 6:02     15:40 | 14:12    23:55
 | 22:17     7:30 | 22:17     7:30
 | 6:02     15:40 | 6:02     15:40 |  |  | 22:17     7:30 | 22:17     7:30
 | 14:12    23:55 | 14:12    23:55 | 22:17     7:30 | 22:17     7:30
Tur | Mandag | Tirsdag | Onsdag | Torsdag | Fredag | Lørdag | Søndag
5 1 |  | 8:32     17:42 | 5:30     11:00 |  | 8:32     17:42 | 5:30     11:00 | 9:45     17:02
 | 5:25     11:00 | 6:06     21:57 | 14:52    23:40 | 12:00    20:48
 |  | 14:25    22:40 | 10:30    17:00 |  | 6:06     21:57 | 12:00    22:00 | 12:00    22:00
 | 14:25    22:40 | 10:30    17:00 | 15:02    21:49 | 13:49    22:31
 |  | 15:10    23:09 | 14:25    22:40 | 10:30    17:00 |  | 6:07     21:57 | 17:07    22:40
 | 10:30    17:00 | 12:00    22:00 | 12:00    22:00
Spreadsheet: 788468d1658492808-max-value-in-a-row-max-value-for-five-extra-columns
Sheet: Blad1

ARTICLENR | NR of purchases A | Purhcaser B | Purchaser c | Purchaser d | Purchaser e |  | Article nr | Highest nr of purchases
E1 | 3 | 1 | 4 |  |  |  |  | 56
E2 | 5 | 4 | 35 |  |  |  | E8 | 27
E3 | 2 | 47 | 67 |  |  |  | E5 | 23
E4 | 56 | 6 | 23
E5 | 23 | 2 | 58
E6 | 12 | 7 | 2
E7 | 17 | 45 | 4
E8 | 27 | 14 | 1
E9 | 3 | 25 | 4
E10 | 6 | 3 | 6
Spreadsheet: eric_saibi__9801__091901R
Sheet: Clay Boswell 04

Owner Name | Minnesota Power & Light Company
Station Name | Clay Boswell Power Station
Unit Name | Clay Boswell 04
NERC Region | MAPP
State | MN
Fuel Type | Coal
Capacity | 558 MW
Start Date | 2001-09-28 00:00:00
End Date | 2001-10-25 00:00:00
Prv. Start Date | 2001-10-06 00:00:00
Prv. End Date | 2001-11-02 00:00:00
Comments | Chemical Cleanout
SIC | 4911
Plant ID | 1015045
Unit ID | 1006421
Outage ID | 16276
Spreadsheet: 821136d1678462989-recurring-bill-payment-amounts-between-salary-dates-recurring-bill-payments-sonicsoul-
Sheet: Sheet1

 | [NAME]
 | Pay Period 1 | Pay Period 2 | Pay Period 3 | Pay Period 4 | Pay Period 5 | Pay Period 6
 | 2023-01-06 00:00:00
 | Total | Total | Total | Total | Total | Total
 | Bills (example) | Due Date | Payment Amt
 | [NAME] | 2023-01-09 00:00:00 | 50
 | [NAME] | 2023-01-19 00:00:00 | 25
 | [NAME] | 2023-01-25 00:00:00 | 100
 | [NAME] | 2023-02-01 00:00:00 | 200
 | Bill 5 | 2023-02-15 00:00:00 | 30
 | Bill 6 | 2023-02-22 00:00:00 | 20
 | [NAME] | 2023-02-28 00:00:00 | 10
 | [NAME] | 2023-03-01 00:00:00 | 40
 | Bill 9 | 2023-03-19 00:00:00 | 50
 | Bill 10 | 2023-03-22 00:00:00 | 90
 | I'm trying to find a way to calculat a reacurring bill by due dates for every pay period where the due date is after or equal to, lets say, Feb 17th bue before Mar 3
 | The trouble I'm having is finding the formula for performing the same bill sum for each month, regarldess of what year it is…as long as its recurring.
Spreadsheet: 600835d1543987524-lookup-from-bottom-of-range-ignoring-bottom-n-no-of-rows-reverse-lookup
Sheet: Sheet1

 |  |  |  |  | 98 | 3
Value for Lookup | Current Result |  |  |  | 99 | 5
99 |  |  |  |  | 99 | 6
 |  |  |  |  | 99 | 7
 |  |  |  |  | 96 | 5 | Ignore last 5 rows
 |  |  |  |  | 95 | 8
Value for Lookup | Expected Result |  |  |  | 99 | 9
99 | 7 |  |  |  | 98 | 34
 |  |  |  |  | 97 | 78
Spreadsheet: 798401d1664462828-extract-data-from-sheets-book1
Sheet: Sheet1

Sheet 2 | Sheet 3 | Sheet 4 |  |  |  |  |  |  |  | Desired Output
 |  |  |  |  |  |  |  |  |  | Sheet 2
 |  |  |  |  |  |  |  |  |  | 3.1.1
 |  |  |  |  |  |  |  |  |  | 3.1.2
 |  |  |  |  |  |  |  |  |  | 3.1.3
 |  |  |  |  |  |  |  |  |  | 3.1.4
 |  |  |  |  |  |  |  |  |  | 3.1.5
 |  |  |  |  |  |  |  |  |  | 3.1.6
 |  |  |  |  |  |  |  |  |  | 3.1.8
 |  |  |  |  |  |  |  |  |  | 3.1.9
 |  |  |  |  |  |  |  |  |  | 3.1.10
 |  |  |  |  |  |  |  |  |  | 3.1.11
 |  |  |  |  |  |  |  |  |  | 3.1.12
 |  |  |  |  |  |  |  |  |  | 3.1.13
 |  |  |  |  |  |  |  |  |  | 3.1.14
 |  |  |  |  |  |  |  |  |  | 3.1.15
 |  |  |  |  |  |  |  |  |  | 2.2.5
 |  |  |  |  |  |  |  |  |  | 4.25.8
Spreadsheet: dbb78708-af62-4184-b47d-fcb41972599b
Sheet: Sheet1

Battle ID | Date & Time | Side | Victory | Score | Opp. Score | Opp. ID | Opp. Name | Scenario ID | Front | Start Date | End Date | Name EN | Name FR
35765005 | 2013-05-03 00:22:39 | AXIS | 0 | 4 | 6 | 1158904 | [NAME] | 7429 | mediterranean | 1941-06-15 | 1941-06-17 | [NAME] | [NAME]
35765283 | 2013-05-03 00:41:58 | ALLIES | 0 | 5 | 7 | 1158904 | [NAME] | 7661 | eastern | 1944-02-16 | 1944-02-17 | Breakout to Lisyanka | [NAME]
35765469 | 2013-05-03 01:12:04 | AXIS | 1 | 7 | 6 | 1158904 | [NAME] | 7661 | eastern | 1944-02-16 | 1944-02-17 | Breakout to Lisyanka | [NAME]
35817591 | 2013-05-06 13:11:57 | ALLIES | 1 | 6 | 1 | 1322934 | jtdthelion | 6155 | western | 1944-09-19 | 1944-09-19 | Arracourt | Arracourt
35817682 | 2013-05-06 13:29:59 | AXIS | 1 | 6 | 3 | 1322934 | jtdthelion | 6155 | western | 1944-09-19 | 1944-09-19 | Arracourt | Arracourt
35819192 | 2013-05-06 16:22:24 | ALLIES | 1 | 6 | 4 | 668707 | player668707 | 7271 | western | 1944-12-18 | 1944-12-18 | [NAME] | Villages jumeaux
35854548 | 2013-05-09 00:38:28 | ALLIES | 1 | 10 | 4 | 867821 | b.kuntscher | 7662 | eastern | 1942-10-22 | 1942-10-22 | Red Barricades Factory | Les Barricades Rouges
35854801 | 2013-05-09 01:01:48 | AXIS | 0 | 7 | 10 | 867821 | b.kuntscher | 7662 | eastern | 1942-10-22 | 1942-10-22 | Red Barricades Factory | Les Barricades Rouges
35871235 | 2013-05-10 03:40:54 | ALLIES | 1 | 6 | 3 | 1324960 | [NAME] | 12508 | pacific | 1942-08-20 | 1942-08-21 | Tenaru | Tenaru
35903535 | 2013-05-12 07:01:11 | ALLIES | 0 | 3 | 7 | 1281652 | *player1281652 | 7661 | eastern | 1944-02-16 | 1944-02-17 | Breakout to Lisyanka | [NAME]
35903634 | 2013-05-12 07:26:39 | AXIS | 1 | 7 | 6 | 1281652 | *player1281652 | 7661 | eastern | 1944-02-16 | 1944-02-17 | Breakout to Lisyanka | [NAME]
35946682 | 2013-05-15 01:05:01 | ALLIES | 0 | 5 | 6 | 1081872 | V4nu6ka | 6150 | mediterranean | 1944-08-25 | 1944-08-25 | [NAME] | [NAME]
35946862 | 2013-05-15 01:18:24 | AXIS | 0 | 2 | 6 | 1081872 | V4nu6ka | 6150 | mediterranean | 1944-08-25 | 1944-08-25 | [NAME] | [NAME]
35974657 | 2013-05-17 00:43:15 | AXIS | 0 | 4 | 6 | 1328928 | Unrealik191 | 7429 | mediterranean | 1941-06-15 | 1941-06-17 | [NAME] | [NAME]
35974863 | 2013-05-17 01:02:41 | ALLIES | 0 | 0 | 6 | 1328928 | Unrealik191 | 7429 | mediterranean | 1941-06-15 | 1941-06-17 | [NAME] | [NAME]
Spreadsheet: 164016d1340614405-return-values-from-an-array-exampledist
Sheet: Sheet1

 |  | l11aa | G11AA | S11AA | WS11 1DL | CV49 1SA | M11AA
 | Base | Client 1 | Client 2 | Client 3 | Client 4 | Client 5 | Client 6
Engineer 1 | b297bu | 120.9666666666667 | 298.2833333333334 | 104.75 | 39.36666666666667 | 41.21666666666667 | 109.8166666666667
Engineer 2 | cv311je | 144.25 | 321.5666666666667 | 112.0333333333333 | 62.65 | 29.15 | 133.1
Engineer 3 | ws111se | 91.21666666666667 | 268.55 | 96.35 | 6.533333333333333 | 44.68333333333333 | 80.06666666666666
Engineer 4 | b11aa | 113.4666666666667 | 290.8 | 97.26666666666667 | 31.86666666666667 | 33.73333333333333 | 102.3333333333333
 | To: | Engineer Name | Distance
Nearest Engineer | Client 1 | Engineer 3 | 91.22
Spreadsheet: 544375d1508872172-conditionally-summing-across-a-varying-number-of-worksheets-copy-of-example-book-allisonns-
Sheet: 2

Stock = | Stock 2 |  |  |  |  | Type = | Fund Type
Date |  | Event |  | Units |  | Transaction amount |  |  | Year
2016-01-01 00:00:00 |  | Buy |  | 10018 |  | 17065.8
2016-01-20 00:00:00 |  | Dividend |  | 0 |  | 200
2016-02-28 00:00:00 |  | Sell |  | 3256 |  | 11281
2016-03-20 00:00:00 |  | Dividend |  | 0 |  | 150
2016-04-20 00:00:00 |  | Dividend |  | 0 |  | 150
2016-05-02 00:00:00 |  | Sell |  | 3256 |  | 11281
2016-05-20 00:00:00 |  | Dividend |  | 0 |  | 100
2016-06-20 00:00:00 |  | Dividend |  | 0 |  | 100
2016-07-20 00:00:00 |  | Dividend |  | 0 |  | 100
2016-08-05 00:00:00 |  | Buy |  | 1000 |  | 1896.2
2016-08-20 00:00:00 |  | Dividend |  | 0 |  | 110
2016-09-20 00:00:00 |  | Dividend |  | 0 |  | 110
2016-10-20 00:00:00 |  | Dividend |  | 0 |  | 110
2016-11-20 00:00:00 |  | Dividend |  | 0 |  | 110
2016-12-20 00:00:00 |  | Dividend |  | 0 |  | 110
Spreadsheet: 41923d1240478160-urgent-help-need-a-formula-to-calculate-values-in-a-column-book1
Sheet: Sheet1

M | 0
SM | 1
SM | 1
SM | 1
M | 0
SM | 5
SM | 5
SM | 5
SM | 5
M | 0
SM | 10
SM | 10
M | 0
SM | 13
SM | 13
Spreadsheet: 160362d1339066153-excel-2007-format-entire-columns-based-on-date-at-head-of-column-cake-orders-test-sheet
Sheet: Prices

 | Sponge | Fruit | Por.Sp/Fr |  | Design | Two Tier | Three Tier | Four Tier
5sq/6rnd | 20 | 33 | 8/20 |  | Sarah/Emma/Susan | 150 | 200 | 290
6sq/7rnd | 24 | 38 | 12/30 |  | June/Jewel/Coral | 180 | 260 | 350
7sq/8rnd | 29 | 45 | 15/40 |  | Horseshoe/Rebecca | 200 | 280 | 360
8sq/9rnd | 34 | 53 | 20/55 |  | Chocolate Curl/ Fr.[NAME] | 210 | 290 | 370
9sq/10rnd | 39 | 60 | 30/70 |  | Edwardian/Tina/Petal | 230 | 310 | 390
10sq/11r | 44 | 67 | 40/90 |  | Alison/Lily | 290 | 380 | 440
11sq/12r | 50 | 75 | 50/110 |  | Portions-sponge/rich fruit | 65/110* | 80/150* | 110/210*
12sq | 55 | 83 | 60/125
14sq | 68 | 98 | 85/175
10 x 6 | 35 | 55 | 20/50
14 x 12 | 65 | 95 | 70/140
17 x 13 | 98 | 150 | 100/200
23 x 13 | 130 | 200 | 130/280
18'21'50 | 58 | 75
Design | Two Tier | Three Tier | Four Tier
Emma | 150 | 200 | 290
June/Jewel/Coral | 180 | 260 | 350
Horseshoe/Rebecca | 200 | 280 | 360
Chocolate Curl/ Fr.[NAME] | 210 | 290 | 370
Edwardian/Tina/Petal | 230 | 310 | 390
Alison/Lily | 290 | 380 | 440
Por-sponge/fruit | 65/110* | 80/150* | 110/210*
Spreadsheet: 161200d1339442708-get-rows-with-greatest-value-based-on-value-in-first-column-copy-of-user-accessing-file
Sheet: Sheet1

User | File | Qty |  |  |  |  |  |  |  |  |  | Row Labels | [NAME]
user1 | file1 | 5 |  |  |  |  |  |  |  |  |  | user1 | 5
user1 | [NAME] | 2 |  |  |  |  |  |  |  |  |  | user2 | 244
user2 | file1 | 244 |  |  |  |  |  |  |  |  |  | user3 | 390
user2 | [NAME] | 104 |  |  |  |  |  |  |  |  |  | user4 | 243
user2 | file4 | 1 |  |  |  |  |  |  |  |  |  | user5 | 136
user2 | file3 | 1 |  |  |  |  |  |  |  |  |  | Grand Total | 390
user3 | [NAME] | 390
user3 | file1 | 193
user3 | file3 | 2
user3 | file4 | 2
user4 | file1 | 243
user4 | [NAME] | 85
user5 | [NAME] | 136
user5 | file1 | 123
user5 | file4 | 17
user5 | file3 | 8
Spreadsheet: 835450d1688585477-cant-do-a-simple-addition-2019-mock-marksheet
Sheet: 2019 Writing

 |  |  | Foundation |  |  |  |  |  |  |  | Higher
Name | Class | Tier | Photo | 40 word - school | Small translations | 90 word - free time | 90 word - earning money | Total | Grade |  | 90 word - free time | 90 word - earning money | 150 word - young ideas | 150 word - Good and bad of youth | Total | Grade
 |  | F | 7 | 4 | 2 | 13
 |  | F | 8 | 16 | 5 | 14
 |  | F
 |  | F | 2 | 14 | 6 | 10
 |  | F | 8 | 15 | 4 | 12
 |  | F | 8 | 16 | 4 | 13
 |  | F
 |  | F | 8 | 15 | 6 | 15
 |  | F | 8 | 13 | 5 | 8
 |  | F | 5 | 7 | 1 | 10
 |  | F | 8 | 14 | 5 | 14
 |  | F | 8 | 12 | 4 | 12
 |  | F | 8 | 16 | 6 | 13
Spreadsheet: 106612d1303842125-help-to-plot-data-by-chemical-by-week-chemical-data
Sheet: Sheet1

WW | Date | Part Number | Description | Qty | Cost | Voucher ID
1 | 2011-01-10 00:00:00 | xxxxxx | Chemical A | 2 | £xxx.xx | 220
1 | 2011-01-11 00:00:00 | xxxxxx | Chemical B | 3 | £xxx.xx | 33
1 | 2011-01-12 00:00:00 | xxxxxx | Chemical C | 1 | £xxx.xx | 100
1 | 2011-01-13 00:00:00 | xxxxxx | Chemical D | 2 | £xxx.xx | 100
1 | 2011-01-14 00:00:00 | xxxxxx | Chemical E | 3 | £xxx.xx | 543
1 | 2011-01-15 00:00:00 | xxxxxx | Chemical F | 4 | £xxx.xx | 220
1 | 2011-01-16 00:00:00 | xxxxxx | Chemical A | 2 | £xxx.xx | 33
1 | 2011-01-17 00:00:00 | xxxxxx | Chemical B | 3 | £xxx.xx | 100
1 | 2011-01-18 00:00:00 | xxxxxx | Chemical C | 1 | £xxx.xx | 100
1 | 2011-01-19 00:00:00 | xxxxxx | Chemical D | 2 | £xxx.xx | 543
1 | 2011-01-20 00:00:00 | xxxxxx | Chemical E | 3 | £xxx.xx | 220
2 | 2011-01-21 00:00:00 | xxxxxx | Chemical F | 4 | £xxx.xx | 33
2 | 2011-01-22 00:00:00 | xxxxxx | Chemical A | 2 | £xxx.xx | 100
2 | 2011-01-23 00:00:00 | xxxxxx | Chemical B | 3 | £xxx.xx | 100
2 | 2011-01-24 00:00:00 | xxxxxx | Chemical C | 1 | £xxx.xx | 543
2 | 2011-01-25 00:00:00 | xxxxxx | Chemical D | 2 | £xxx.xx | 220
2 | 2011-01-26 00:00:00 | xxxxxx | Chemical E | 3 | £xxx.xx | 33
2 | 2011-01-27 00:00:00 | xxxxxx | Chemical F | 4 | £xxx.xx | 100
2 | 2011-01-28 00:00:00 | xxxxxx | Chemical A | 2 | £xxx.xx | 100
2 | 2011-01-29 00:00:00 | xxxxxx | Chemical B | 3 | £xxx.xx | 543
2 | 2011-01-30 00:00:00 | xxxxxx | Chemical C | 1 | £xxx.xx | 220
3 | 2011-01-31 00:00:00 | xxxxxx | Chemical D | 2 | £xxx.xx | 33
3 | 2011-02-01 00:00:00 | xxxxxx | Chemical E | 3 | £xxx.xx | 100
3 | 2011-02-02 00:00:00 | xxxxxx | Chemical F | 4 | £xxx.xx | 100
3 | 2011-02-03 00:00:00 | xxxxxx | Chemical A | 2 | £xxx.xx | 543
 |  |  |  | 3
 |  |  |  | 1
 |  |  |  | 2
 |  |  |  | 3
 |  |  |  | 4
Spreadsheet: 440232d1452703404-vacation-tracking-from-an-anniversary-date-from-year-to-year-vacation-tracking-2016
Sheet: March

Employee Absence Schedule
March | Dates of Absence
Employee Name | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | Total Hours
A
B
C
D
E
F
G
H
J
K
L
N
O
Spreadsheet: sally_beck__33995__Log as of 4_20_01
Sheet: Sum APril 11 to April 18

 | Week summary (April 11 to April 18)
Category | Description | Total |  | Breakdown of Cat 1
1 | Human Errors |  |  | Process in place but not followed
2 | IT Hardware problems |  |  | Officialized on time but needed recalc
3 | IT Software Problems |  |  | Book not officialized | 6
4 | Miscellaneous |  |  | No process in place
5 | Uncontrollable | 0 |  | Other | 3
 | Total |  |  | Total
 |  |  |  | Breakdown of Cat 2
 |  |  |  | Computer breakdown | 1
 |  |  |  | Other
 |  |  |  | Total
 |  |  |  | Breakdown of Cat 3
 |  |  |  | Correct inputs, incorrect outputs
 |  |  |  | Slow feeds
 |  |  |  | Feed problem | 5
 |  |  |  | Books shown as officialized, but not RiskTrac
 |  |  |  | Application down alternate system used
 |  |  |  | Other | 1
 |  |  |  | Total
 |  |  |  | Breakdown of Cat 4
 |  |  |  | Credit interface | 0
 |  |  |  | Other | 0
 |  |  |  | Total
Spreadsheet: 864915d1712062357-need-to-query-specific-data-from-2-tables-test-timeline-v1
Sheet: Materials Used

Material | Sq Ft | [NAME]
CON-   4586 - FABRIC- LIGHTBOX- 126
ART-  4960 - ABERDEEN 6653 FABRIC BANNER SOFT
ART-  3307 - 63X328 DURAVIEW 5MIL BACKLIT (UV)
PAP- SO-  1374 - FOAMCORE 3/16IN WHITE 48X96
Spreadsheet: 143817d1330585057-cell-address-of-mouse-pointer-excel-ruler
Sheet: Data

 |  | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec
K103 |  | 284 | 354 | 1040 | 203 | 105 | 232 | 264 | 417 | 911 | 1025 | 1516 | 1776
R376 | ClippetyClop | 304 | 252 | 1010 | 138 | 93 | 376 | 194 | 348 | 920 | 948 | 1481 | 1827
K098 | SlobberyDob | 318 | 312 | 990 | 177 | 79 | 261 | 263 | 369 | 879 | 1048 | 1488 | 1762
D205 | HanketyPank | 291 | 311 | 1032 | 141 | 121 | 295 | 265 | 362 | 915 | 1054 | 1481 | 1766
L496 | WibblyWob | 291 | 272 | 1055 | 166 | 132 |  |  |  | 957 | 1005 | 1519 | 1787
Q021 | SlametyDunk | 279 | 267 | 1020 | 159 | 132 | 379 | 229 | 333 | 970 | 980 | 1506 | 1819
N022 | FlibertyGib | 321 | 220 | 1013 | 75 | 83 | 365 | 142 | 232 | 924 | 878 | 1390 | 1798
B424 | GigglyGob | 337 | 250 | 1017 | 60 | 127 | 320 | 161 | 259 | 919 | 902 | 1434 | 1757
J004 | DiddlyDoop | 293 | 388 | 1039 | 193 | 90 | 183 | 293 | 394 | 877 | 1034 | 1493 | 1749
T101 | WigglyWog | 342 | 217 | 1048 | 98 | 84 | 341 | 175 | 299 | 886 | 948 | 1446 | 1803
Spreadsheet: c332a8b4-e98a-4c06-a18e-992b93c12826
Sheet: Sheet1

Table 4--Wheat: Monthly food disappearance estimates (1,000 grain-equivalent bushels), 11/13/2013 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11
Mkt year and month 1/
 |  |  | Wheat ground for flour | + | Food imports 2/ | + | Nonmilled food use 3/ | - | Food exports 2/ | = | Food use 4/
2011/12 | Jun |  | 70554 |  | 2237 |  | 2000 |  | 1743 |  | 73048
 | Jul |  | 72573 |  | 2098 |  | 2000 |  | 1327 |  | 75344
 | Aug |  | 79317 |  | 2308 |  | 2000 |  | 2390 |  | 81235
 | Sep |  | 76269 |  | 2245 |  | 2000 |  | 1652 |  | 78863
 | Oct |  | 81402 |  | 2247 |  | 2000 |  | 1487 |  | 84162
 | Nov |  | 77915 |  | 2568 |  | 2000 |  | 1763 |  | 80720
 | Dec |  | 73135 |  | 2464 |  | 2000 |  | 1291 |  | 76308
 | Jan |  | 74522 |  | 2579 |  | 2000 |  | 1233 |  | 77868
 | Feb |  | 73931 |  | 2057 |  | 2000 |  | 1330 |  | 76658
 | Mar |  | 78437 |  | 2555 |  | 2000 |  | 1843 |  | 81149
 | Apr |  | 74497 |  | 2622 |  | 2000 |  | 1513 |  | 77606
 | May |  | 76171 |  | 2530 |  | 2000 |  | 2310 |  | 78390
2012/13 | Jun |  | 72876 |  | 2173 |  | 2000 |  | 1760 |  | 75290
 | Jul |  | 75861 |  | 2296 |  | 2000 |  | 2912 |  | 77245
 | Aug |  | 82910 |  | 2345 |  | 2000 |  | 2193 |  | 85063
 | Sep |  | 79725 |  | 2069 |  | 2000 |  | 2283 |  | 81511
 | Oct |  | 81567 |  | 2462 |  | 2000 |  | 1840 |  | 84189
 | Nov |  | 78073 |  | 2438 |  | 2000 |  | 1613 |  | 80897
 | Dec |  | 73283 |  | 2369 |  | 2000 |  | 1442 |  | 76210
 | Jan |  | 72290 |  | 2191 |  | 2000 |  | 1550 |  | 74931
 | Feb |  | 71716 |  | 2101 |  | 2000 |  | 1674 |  | 74143
 | Mar |  | 76088 |  | 2391 |  | 2000 |  | 1744 |  | 78734
 | Apr |  | 74750 |  | 2581 |  | 2000 |  | 1432 |  | 77899
 | May |  | 76429 |  | 2530 |  | 2000 |  | 2042 |  | 78917
2013/14 | Jun |  | 73123 |  | 2277 |  | 2000 |  | 2430 |  | 74970
 | Jul |  | 74355 |  | 2519 |  | 2000 |  | 1474 |  | 77399
 | Aug |  | 81264 |  | 2548 |  | 2000 |  | 1450 |  | 84363
1/ Current year is preliminary. Previous year is preliminary through August of current year, estimated afterwards. 2/ Food imports and exports used to calculate total food use. Includes all categories of wheat flour, semolina, bulgur, and couscous and selected categories of pasta. 3/ Wheat prepared for food use by processes other than milling.
4/ Estimated food use equals wheat ground for flour plus food imports plus nonmilled food use minus food exports. See http://www.ers.usda.gov/Briefing/Wheat/wheatfooduse.htm for more information. Source: Data through the 2nd quarter of 2011 was calculated using data from U.S. Department of Commerce, Bureau of the Census’ Flour Milling Products (MQ311A) and U.S. Department of Commerce, Bureau of Economic Analysis’ Foreign Trade Statistics. Subsequent flour milling calculations are based on data from the North American Millers Association.
Date run: 11/12/2013
Spreadsheet: 10c6fb6a-e02c-40f5-bab3-e9efcc47b86b
Sheet: Sheet1

Unnamed: 0 | STATE OBLIGATIONS FOR LOCAL HIGHWAYS - 1996  1/ | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10
 | CHANGE IN INDEBTEDNESS DURING YEAR
 | OCTOBER 1997 |  | (THOUSANDS OF DOLLARS) |  |  |  |  |  |  | "TABLE SB-2L
 |  |  | OBLIGATIONS ISSUED   2/ |  |  | OBLIGATIONS RETIRED
 |  | OBLIGATIONS |  |  |  |  |  |  | OBLIGATIONS | BALANCE
 |  | OUTSTANDING | ORIGINAL | REFUNDING |  | CURRENT | BY |  | OUTSTANDING | IN SINKING
 | STATE | BEGINNING | ISSUES | ISSUES | TOTAL | REVENUES | REFUNDING | TOTAL | END OF YEAR | FUND OR
 |  | OF YEAR |  |  |  | OR  SINKING |  |  |  | DEBT RESERVE
 |  |  |  |  |  | FUNDS
 | Alaska | 631 | 0 | 0 | 0 | 172 | 0 | 172 | 459
 | Dist. of Col. | 199245 | 0 | 38733 | 38733 | 13579 | 38733 | 52312 | 185666
 | Florida | 78600 | 0 | 0 | 0 | 17920 | 0 | 17920 | 60680
 | Louisiana | 5105 | 0 | 0 | 0 | 440 | 0 | 440 | 4665
 | Maryland | 21205 | 0 | 0 | 0 | 4950 | 0 | 4950 | 16255
 | Massachusetts | 20461 | 3452 | 0 | 3452 | 0 | 0 | 0 | 23913
 | Michigan | 55644 | 0 | 0 | 0 | 12293 | 0 | 12293 | 43351
 | Mississippi | 9610 | 0 | 0 | 0 | 3000 | 0 | 3000 | 6610
 | New Jersey | 136000 | 0 | 0 | 0 | 4000 | 100000 | 104000 | 32000
 | New York | 971440 | 279010 | 0 | 279010 | 30930 | 0 | 30930 | 1219520
 | Washington | 145535 | 119 | 7036 | 7155 | 17315 | 7185 | 24500 | 128190
 | Total | 1643476 | 282581 | 45769 | 328350 | 104599 | 145918 | 250517 | 1721309
 | 1/  This table shows the status of State obligations issued to fund local highways. |  |  |  |  |  | 2/  See Table SB-1 for additional information on specific bond
 | State expenditures on local roads and transfer payments appear in Table SF-6. |  |  |  |  |  | issues.
 | Amounts shown are included in Table SB-2.  Only States with outstanding bonds |  |  |  |  |  | 3/  Amounts in this column represent funds available for
 | issued for local roads are included.  See Table SB-1 for general note on SB series.  This |  |  |  |  |  | future principal and interest  payments.
 | table is compiled from reports of State authorities.
Spreadsheet: 172595d1344266704-pulling-multiple-lines-from-several-sheets-into-1-based-on-a-single-value-sample1
Sheet: AR-107

Note | Fund Allocated to/From | As Of Date | Amount Added to AR | Amount Allocated out | New Running Total | Coresponding JE
 | RBC002 | 2012-07-13 00:00:00 | 2985 |  |  | JBC45L46 | 107
 | RBC244 | 2012-08-06 00:00:00 | 180 |  |  | JBC12L30 | 107
Spreadsheet: 172211d1344026706-adding-reminders-tigeravatar-example-for-psilver1
Sheet: Bag 10

Item | Expiration Date |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Bag 10
Item 01 | 2012-08-12 00:00:00
Item 02 | 2012-08-15 00:00:00
Item 03 | 2012-08-12 00:00:00
Item 04 | 2012-08-04 00:00:00
Item 05 | 2012-08-16 00:00:00
Item 06 | 2012-08-16 00:00:00
Item 07 | 2012-08-11 00:00:00
Item 08 | 2012-08-04 00:00:00
Item 09 | 2012-08-10 00:00:00
Item 10 | 2012-08-07 00:00:00
Item 11 | 2012-08-08 00:00:00
Item 12 | 2012-08-13 00:00:00
Item 13 | 2012-08-13 00:00:00
Item 14 | 2012-08-09 00:00:00
Item 15 | 2012-08-12 00:00:00
Item 16 | 2012-08-11 00:00:00
Item 17 | 2012-08-10 00:00:00
Item 18 | 2012-08-13 00:00:00
Item 19 | 2012-08-15 00:00:00
Item 20 | 2012-08-06 00:00:00
Spreadsheet: 08e4f9fa-d052-406c-bb24-fda017605dbc
Sheet: سرای محلات

[NAME] محلات واقع در ناحیه 7 منطقه 5
ردیف | نام سرای محله | [NAME]) | مساحت زیربنا(مترمربع) | تعداد [NAME] | تاریخ احداث | نام محله | نشانی و تلفن
1 | سرای محله جنت آباد مرکزی | 3084 | 1200 | 3 | 1388 | جنت آباد مرکزی | جنت آباد بالاتر از اتوبان همت خیابان اقاقیا جنب درمانگاه الیاد / 44615605
2 | سرای محله گلبن | 300 | 900 | 3 | 1390 | شاهین | بزرگراه همت خیابان شاهین شمالی انتهای 20 متری [NAME] پارک گلبن
Spreadsheet: 216391d1361752609-this-is-driving-me-nuts-final
Sheet: Sheet2

REP LIST | [NAME] | STATIC | POWER | STRETCH | SQUAT | HINGE | ONE LEG | PUSH | PULL | ASLR | SM | TSPU | RS | ILL | HS | DS
1 | trx fallout | plank |  | W/ lat stretch | bw squat | bridge | split squat | push up
2 | trx knee in | side plank |  | w/pec stretch | goblet squat | [NAME] | RFESS | one arm cable push
3 | ab wheel | feet elevated plank |  |  | front squat | [NAME] | reverse lunge | dumbell bench
4 | anti rotation press | trx plank |  |  | back squat | deadlift | forward lunge | bench press
5 | lift | 3 point plank |  |  | mini band squat | sumo deadlift | split squat w/ front foot elevated | alt. [NAME] bench press
6 | chop | side plank on hand |  |  | [NAME] squat | snatch grip dl | reverse lunge w/ front foot elevated | one arm press
7 | body saw | anti rotation press hold |  |  | sandbag squat | RDL | single leg squat | alternating press
8 | slider push | plank with band |  |  | offset squat | swing | val slide lunge | floor press
9 | TGU |  |  |  | offset sb squat | sandbag hinge | sldl w/ reach | bench press
10 |  |  |  |  | overhead squat |  | sldl | board press
11 |  |  |  |  | one arm overhead squat
12
13
14
15
16
17
18
19
20