tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 1bdcc1ee-9352-4a53-9315-5a11d16bed21
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6
 | Department: |  |  | Date:
 | Prepared By: |  |  | Phone:
 | Signature:
 | Tender Type (Cash, Check, Credit card) | No. of Items | Description (30 Characters) | * Index | * Account | Amount
1
2
3
4
5
 | * Index and Account required to process departmental deposits |  |  |  | Grand total | 0
 |  |  | Summary by Tender | Tender | No. of Items | Amount
 |  |  |  | Cash
 |  |  |  | Checks
 |  |  |  | Credit Cards
 |  |  |  | Grand Total |  | 0
 |  |  |  | Balancing Difference |  | 0
 | Office of the Bursar - 2014 |  |  | (should be zero)
Spreadsheet: 753937d1635848349-how-to-write-function-for-automatic-sequence-of-numbers-sub-change-orders
Sheet: Huff

 | Subcontractor [NAME]
 | Project Name: | 47 West Broadway |  |  |  |  | Original Contract: |  |  | 25000
 | Project Number: | 19-1053 |  |  |  |  | Change Order Totals:
 | Subcontractor: | Huff Concrete |  |  |  |  | Total Approved To Date:
 | Contract Number: | 456 |  |  |  |  | Total Paid To Sub To Date:
 | Cost Code: | 03 05 00 |  |  |  |  | Total Retainage To Date:
 | Retainage: | 0.05 |  |  |  |  | Remainder to [NAME]:
 | Subcontractor Invoice Number | Date on Invoice | Date Received by Woodhull | Date Invoice Approved | Amount Billed | Adjustments to Invoice | Amount Approved | Check Sent | Retainage Held | Notes
 | 1 | 2021-08-01 00:00:00 | 2021-08-05 00:00:00 | 2021-08-15 00:00:00 | 25000 | -10000 |  | Yes |  | Over billed for work not completed
 | 2 | 2021-09-01 00:00:00 | 2021-09-04 00:00:00 | 2021-09-15 00:00:00 | 10000 |  |  | Yes |  | billed for remainder of work
 | 3 | 2021-10-01 00:00:00 | 2021-10-03 00:00:00 | 2021-10-15 00:00:00 | 1400 |  |  | No |  | change order
 | Subcontractor Invoice Number | Date on Invoice | Date Received by Woodhull | Date Invoice Approved | Amount Billed for Retainage | Adjustments to Invoice | Amount Approved | Check Sent
 | 5 | 2021-11-01 00:00:00 | 2021-11-02 00:00:00 | 2021-11-15 00:00:00 | 1320 |  |  | No
Spreadsheet: 328083d1403785151-countifs-failing-to-work-sum-countifs
Sheet: Sheet2

 | 2014-03-19 10:12:11 | Assigned to [NAME]
 | 2014-03-20 10:12:11 | Awaiting Customer - Confirm Resolution
 | 2014-03-21 10:12:11 | Cancelled
 | 2014-03-22 10:12:11 | Closed
 | 2014-03-23 10:12:11 | Resolved
 | 2014-03-24 10:12:11 | Assigned
 | 2014-06-25 10:12:11 | Awaiting Customer - Further Info
 | 2014-03-26 10:12:11 | Awaiting 3rd Party
 | 2014-03-27 10:12:11 | Awaiting Change
 | 2014-03-28 10:12:11 | Awaiting Change
 | 2014-03-29 10:12:11 | open
Spreadsheet: 719413d1613658835-sumifs-formula-not-valid-value-hh_job_-template_2021
Sheet: Two

Feedlot:
Date:
Tractors & Loaders | Hrs. | $$/Hr. | Rate Total | Fuel |  |  |  | Invoiced Rate | Invoiced Rate/Hr. | Invoiced Rate/Bu. | Tractors & Loaders | Employee | Bonus Hours
 |  |  |  | Gallons | $$/Gallon | Total | Gal/Hr.
Total
Total
Grand Total |  |  |  |  |  |  |  |  | Rate Total
 |  |  |  |  |  |  |  |  | 'Gross Income' less 'Rate Total'
 |  |  |  |  |  |  |  |  | Percent Gain or Loss
 |  |  |  |  | Total W/Fuel:
Spreadsheet: fc5bf4f5-b09b-439f-804c-fb646d99a778
Sheet: Sheet1

Release: Harmonized Indices of Consumer Prices (HICP) | Unnamed: 1 | Unnamed: 2
Link: http://alfred.stlouisfed.org/release?rid=251
ALFRED (ArchivaL Federal Reserve Economic Data)
Economic Research Division
Federal Reserve Bank of St. Louis
File Created: 2014-07-23 1:35 PM [NAME]
 | Real-Time | Period
Name: | Start | End
Harmonized Indices of Consumer Prices (HICP) | 2012-06-15 00:00:00 | Current
Link:
http://epp.eurostat.ec.europa.eu/portal/page/portal/hicp/data/main_tables | 2012-06-15 00:00:00 | Current
Source:
Eurostat | 2012-06-15 00:00:00 | Current
Release Dates Notes:
Release dates are determined by the following process:
When available, the actual release date as provided by the source is
entered into the ALFRED database.  If a release date is not available
from the source, the release date given by our data providers is used.
If a release date cannot be determined either from the source or from
our data providers, the date that the series was first available in
the St. Louis Fed's FRED database is used.
The release date list contains the dates when any series from this
release was revised.  Note that all series from a release do not
necessarily revise on every release date.
Release Dates:
2012-06-15 00:00:00
2012-07-15 00:00:00
2012-08-16 00:00:00
2012-09-14 00:00:00
2012-10-16 00:00:00
2012-11-15 00:00:00
2012-12-14 00:00:00
2013-01-16 00:00:00
2013-02-28 00:00:00
2013-03-15 00:00:00
2013-04-16 00:00:00
2013-05-16 00:00:00
2013-06-14 00:00:00
2013-07-16 00:00:00
2013-08-16 00:00:00
2013-09-16 00:00:00
2013-10-16 00:00:00
2013-11-15 00:00:00
2013-12-20 00:00:00
2014-01-21 00:00:00
2014-02-24 00:00:00
2014-03-17 00:00:00
2014-04-21 00:00:00
2014-05-16 00:00:00
2014-06-16 00:00:00
2014-07-17 00:00:00
Spreadsheet: 722741d1615390075-index-match-function-with-multiple-matches-index_match_problem
Sheet: Sheet1

Set 1 |  |  |  |  | Set 2
customer_id | payment | date | no_of_cars |  | customer_id | number_of_cars | date
1 | 7.69 | 2016-07-26 23:44:26 | 1 | <--want this cell to output '3' seen as the date in C3 is closest to that of H4. | 1 | 1 | 2012-01-11 00:00:00
2 | 7.43 | 2016-07-30 04:21:45.427000 |  |  | 1 | 3 | 2015-12-13 00:00:00
3 | 4.24 | 2016-08-03 21:03:17.985000 |  | However, I'm aware that INDEX/MATCH lists only the first match where there are multiple matches. | 1 | 2 | 2017-12-04 00:00:00
4 | 8.64 | 2016-09-25 23:44:26 |  |  | 3 | 4 | 2017-02-06 09:49:52.266000
5 | 9.45 | 2016-09-30 08:56:36.520000 |  | Any way to specify which match I want on the basis of 'date'? | 4 | 1 | 2017-02-10 19:30:04.761000
6 | 1.6 | 2016-10-01 21:18:13.960000 |  | Ideally, I'd like to match records that have the same customer_id at the closest date. | 5 | 1 | 2017-04-01 01:46:23.513000
7 | 7.37 | 2016-11-12 22:32:17.877000 |  | Thanks :) | 6 | 1 | 2017-04-24 19:52:48.862000
8 | 5.76 | 2016-11-13 22:57:28.340000 |  |  | 7 | 2 | 2017-05-20 06:02:49.478000
9 | 9.92 | 2016-11-22 12:31:18.845000 |  |  | 8 | 1 | 2017-06-27 08:57:23.507000
10 | 1.8 | 2017-02-06 09:49:52.266000 |  |  | 9 | 3 | 2017-06-30 09:43:00.191000
11 | 4.65 | 2017-02-10 19:30:04.761000 |  |  | 10 | 2 | 2017-07-12 15:07:02.815000
12 | 7.63 | 2017-04-01 01:46:23.513000 |  |  | 11 | 4 | 2017-07-16 15:48:24.084000
13 | 9.25 | 2017-04-24 19:52:48.862000 |  |  | 12 | 2 | 2017-09-01 18:45:53.820000
14 | 0.49 | 2017-05-20 06:02:49.478000 |  |  | 13 | 2 | 2017-09-22 06:36:26.477000
15 | 5.3 | 2017-06-27 08:57:23.507000 |  |  | 14 | 0 | 2017-06-27 08:57:23.507000
16 | 7.3 | 2017-06-30 09:43:00.191000 |  |  | 15 | 1 | 2017-06-30 09:43:00.191000
17 | 1.74 | 2017-07-12 15:07:02.815000 |  |  | 16 | 1 | 2017-07-12 15:07:02.815000
18 | 5.54 | 2017-07-16 15:48:24.084000 |  |  | 17 | 2 | 2017-07-16 15:48:24.084000
19 | 4.09 | 2017-09-01 18:45:53.820000 |  |  | 18 | 1 | 2017-09-01 18:45:53.820000
20 | 4.61 | 2017-09-22 06:36:26.477000 |  |  | 19 | 3 | 2017-09-22 06:36:26.477000
Spreadsheet: 738593d1625140002-calculate-months-difference-please-help
Sheet: גיליון1

customer | MONTH | PAYMENT |  |  | Count of PAYMENT | Column Labels
A | 2020-03-01 00:00:00 | 1 |  |  |  | jan | feb | mrt | apr | mei | sep | okt | nov | dec | Grand Total
C | 2020-09-01 00:00:00 | 1 |  |  | Row Labels
A | 2020-04-01 00:00:00 | 1 |  |  | A |  |  | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 7
A | 2020-05-01 00:00:00 | 1 |  |  | B | 1 | 1 |  | 2 |  |  |  |  |  | 4
C | 2020-02-01 00:00:00 | 1 |  |  | C | 1 | 1 |  |  |  | 1 |  |  |  | 3
A | 2020-09-01 00:00:00 | 1 |  |  | Grand Total | 2 | 2 | 1 | 3 | 1 | 2 | 1 | 1 | 1 | 14
A | 2020-10-01 00:00:00 | 1
A | 2020-11-01 00:00:00 | 1
A | 2020-12-01 00:00:00 | 1
B | 2020-01-01 00:00:00 | 1
C | 2020-01-01 00:00:00 | 1
B | 2020-02-01 00:00:00 | 1
B | 2020-04-01 00:00:00 | 1
B | 2020-04-01 00:00:00 | 1
Spreadsheet: jonathan_mckay__16859__NYMarket0117
Sheet: Averaging

Curve Code: | NG | NGW-ALGONQUIN | NGW-ALGONQUIN | NGW-ALGO/CITY | NGW-ALGO/CITY | IF-TENN/Z5 | IF-TENN/Z5 | IF-TENN/Z6 | IF-TENN/Z6 | NGW-CGKY | NGW-CGKY | NGW-CGE | NGW-CGE | IF-CGT/APPALAC | IF-CGT/APPALAC | IF-CGT/CITYGATE | IF-CGT/CITYGATE | IF-CNG/APPALACH | IF-CNG/APPALACH | IF-CNG/NORTH | IF-CNG/NORTH | IF-CNG/N_CITYGA | IF-CNG/N_CITYGA | IF-TETCO/M2 | IF-TETCO/M2 | IF-CNG/S_CITYGA | IF-CNG/S_CITYGA | NGW-CHIPPEWA | NGW-CHIPPEWA | IF-TETCO/M3 | IF-TETCO/M3 | IF-TRANSCO/Z5 | IF-TRANSCO/Z5 | IF-TRANSCO/Z6 | IF-TRANSCO/Z6 | TRANSCO/Z6NONNY | TRANSCO/Z6NONNY | NAT/FUEL/LEIDY | NAT/FUEL/LEIDY | NGW-IROQ/WADD | NGW-IROQ/WADD | NGW-IROQ/Z1 | NGW-IROQ/Z1 | NGW-IROQ/Z2 | NGW-IROQ/Z2 | GD-LOW_IROQUOIS | GD-LOW_IROQUOIS | IF-FGT/MKT
Risk (PRC, [NAME], IDX): | PRC | [NAME] | IDX | [NAME] | IDX | [NAME] | IDX | [NAME] | IDX | [NAME] | IDX | [NAME] | IDX | [NAME] | IDX | [NAME] | IDX | [NAME] | IDX | [NAME] | IDX | [NAME] | IDX | [NAME] | IDX | [NAME] | IDX | [NAME] | IDX | [NAME] | IDX | [NAME] | IDX | [NAME] | IDX | [NAME] | IDX | [NAME] | IDX | [NAME] | IDX | [NAME] | IDX | [NAME] | IDX | [NAME] | IDX | [NAME]
Nov/00-Mar/01
Apr/01-Oct/01
Nov/01-Mar/02
Apr/02-Oct/02
Spreadsheet: 526410d1499292349-exactly-same-formula-different-tabs-does-not-work-magic-book3
Sheet: Sheet2

 | MY ACCOUNTS | Goal | % | Balance
 |  | 1000 |  | 300
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
Spreadsheet: 61371d1262186393-gathering-data-from-one-sheet-based-on-criteria-from-another-sheet-exception-tracking-sample-12-30-2009-a-
Sheet: Employee Search

6 Month Accounting Exception Tracking
Select Employee: | Employee #1
 |  |  | 2009-06-09 00:00:00 |  |  |  |  |  |  |  |  | 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
 |  |  | 2009-07-09 00:00:00 |  |  |  |  |  |  |  |  | 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
 |  |  | 2009-08-09 00:00:00 |  |  |  |  |  |  |  |  | 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
 |  |  | 2009-09-09 00:00:00 |  |  |  |  |  |  |  |  | 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
 |  |  | 2009-10-09 00:00:00 |  |  |  |  |  |  |  |  | 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
 |  |  | 2009-11-09 00:00:00 |  |  |  |  |  |  |  |  | 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
Spreadsheet: 887585d1737825155-generating-1-column-of-data-into-a-calendar-reviews-calendar-test_3
Sheet: Aug

 |  |  | 2025-07-28 00:00:00 | 2025-07-29 00:00:00 | 2025-07-30 00:00:00 | 2025-07-31 00:00:00 | 2025-08-01 00:00:00 | 2025-08-02 00:00:00
 |  |  | 2025-08-04 00:00:00 | 2025-08-05 00:00:00 | 2025-08-06 00:00:00 | 2025-08-07 00:00:00 | 2025-08-08 00:00:00 | 2025-08-09 00:00:00
 |  |  | 2025-08-11 00:00:00 | 2025-08-12 00:00:00 | 2025-08-13 00:00:00 | 2025-08-14 00:00:00 | 2025-08-15 00:00:00 | 2025-08-16 00:00:00
 |  |  | 2025-08-18 00:00:00 | 2025-08-19 00:00:00 | 2025-08-20 00:00:00 | 2025-08-21 00:00:00 | 2025-08-22 00:00:00 | 2025-08-23 00:00:00
 |  |  | 2025-08-25 00:00:00 | 2025-08-26 00:00:00 | 2025-08-27 00:00:00 | 2025-08-28 00:00:00 | 2025-08-29 00:00:00 | 2025-08-30 00:00:00
 |  |  | 2025-09-01 00:00:00 | Notes
Spreadsheet: kate_symes__18781__MeadMktplace (2)
Sheet: MeadMktplace

 |  |  | Firm | Volume | Firm | Volume | Non Firm | Volume | Non Firm | Volume
 | DATE |  | On [NAME] | [NAME] | [NAME] | [NAME] | On [NAME] | [NAME] | [NAME] | [NAME]
 | 2001-03-05 00:00:00 |  | 280 | 800 | 172.5 | 800
 | 2001-03-04 00:00:00 |  | 230 | 0 | 170 | 400 | 171.88 | 2765 | 131.78 | 1320
 | 2001-03-03 00:00:00 |  | 230.28 | 464 | 153.46 | 1040 | 170.84 | 1909 | 147.7 | 685
 | 2001-03-02 00:00:00 |  | 230.28 | 464 | 153.46 | 1040 | 204.08 | 1930 | 128.66 | 1229
 | 2001-03-01 00:00:00 |  | 267.19 | 512 | 141.82 | 880 | 233.33 | 777 | 144.63 | 726
 | 2001-02-28 00:00:00 |  | 170 | 320 | 112.22 | 1800 | 230.04 | 274 | 158.91 | 659
 | 2001-02-27 00:00:00 |  | 171 | 64 | 113.75 | 1600 | 176.51 | 603 | 108.24 | 1877
 | 2001-02-26 00:00:00 |  | 177.86 | 224 | 133.56 | 1392 | 157.54 | 2280 | 111.96 | 1798
 | 2001-02-25 00:00:00 |  | 147.5 | 0 | 135 | 280 | 131.22 | 2999 | 108.91 | 2383
 | 2001-02-24 00:00:00 |  | 174.29 | 224 | 115.26 | 1560 | 148.66 | 1535 | 132.09 | 1146
 | 2001-02-23 00:00:00 |  | 174.29 | 224 | 115.54 | 1480 | 166.64 | 2128 | 118.23 | 893
 | 2001-02-22 00:00:00 |  | 201.14 | 224 | 118.5 | 1312 | 160.02 | 656 | 90.98 | 787
 | 2001-02-21 00:00:00 |  | 210 | 224 | 148.86 | 560 | 161.32 | 1192 | 89.98 | 1296
 | 2001-02-20 00:00:00 |  | 232.14 | 224 | 137.14 | 112 | 130.89 | 1348 | 114.12 | 758
 | 2001-02-19 00:00:00 |  | 232.14 | 224 | 145 | 160 | 156.82 | 1839 | 154.53 | 1668
 | 2001-02-18 00:00:00 |  | 287.5 | 320 | 240.5 | 0 | 197.15 | 771 | 166.45 | 1129
 | 2001-02-17 00:00:00 |  | 282.14 | 224 | 221.43 | 112 | 230.67 | 1640 | 205.12 | 1180
 | 2001-02-16 00:00:00 |  | 387.5 | 384 | 198.75 | 192 | 251.75 | 3017 | 181.8 | 1576
 | 2001-02-15 00:00:00 |  | 387.5 | 384 | 198.75 | 192 | 391.66 | 5037 | 207.21 | 1058
 | 2001-02-14 00:00:00 |  | 275.24 | 1312 | 150.92 | 392 | 304.68 | 695 | 197.1 | 1165
 | 2001-02-13 00:00:00 |  | 185 | 160 | 151.57 | 1400 | 194.42 | 1165 | 136.79 | 587
 | 2001-02-12 00:00:00 |  | 207.14 | 560 | 138.91 | 880 | 140.84 | 1676 | 158.45 | 785
 | 2001-02-11 00:00:00 |  | 150 | 160 | 140 | 600 | 141.19 | 3174 | 132.09 | 2803
 | 2001-02-10 00:00:00 |  | 153.75 | 320 | 115.46 | 1720 | 150.05 | 2068 | 161.43 | 828
 | 2001-02-09 00:00:00 |  | 153.75 | 320 | 116.25 | 1760 | 168.64 | 1070 | 117.98 | 945
 | 2001-02-08 00:00:00 |  | 176.25 | 960 | 148.1 | 2000 | 174.99 | 844 | 91.4 | 1905
 | 2001-02-07 00:00:00 |  | 169.28 | 4224 | 131.32 | 3628 | 190.46 | 1300 | 95.76 | 1283
 | 2001-02-06 00:00:00 |  | 149.44 | 720 | 146.14 | 1400 | 153.56 | 520 | 88.67 | 917
 | 2001-02-05 00:00:00 |  | 160.19 | 1864 | 143.63 | 1772 | 142.39 | 1579 | 82.26 | 1310
 | 2001-02-04 00:00:00 |  | 150 | 0 | 146.67 | 1200 | 94.46 | 2705 | 81.4 | 2734
 | 2001-02-03 00:00:00 |  | 165 | 0 | 152.1 | 2000 | 127.82 | 6039 | 83.63 | 2119
Spreadsheet: f25dd32c-b10f-40f8-b6e9-b532edb45965
Sheet: Sheet1

analytica 2012 - Aussteller Liste | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5
 | Suche über Produkt- und Dienstleistungsverzeichnis (5 [NAME]):
 | 3 Mess-, [NAME] und Qualitätskontrolle 3.10 Materialprüfungen 3.10.3 Dilatometrie
Nr. | Firma | Land | Ort | PLZ | Halle/Stand
1 | BÄHR-Thermoanalyse GmbH | Deutschland | [NAME] | 32609 | A1.234A
2 | Netzsch-Gerätebau GmbH | Deutschland | Selb | 95100 | A1.301
3 | SETARAM Instrumentation | Frankreich | Caluire | 69300 | A1.333/430B
4 | TA Instruments Unternehmensbereich Waters GmbH | Deutschland | Eschborn | 65760 | A1.234B
5 | Thass Thermal Analysis & Surface Solutions GmbH | Deutschland | Friedberg | 61169 | A1.227
Spreadsheet: 676696d1588939915-pivot-table-help
Sheet: Sheet1

 |  |  |  |  |  | I want a formua to to find all the 38 FROM the pivot table and return the whole cell text (at the moment it manual filter and paste) | I want a formua to to find THE TOTAL OF EACH CATORGY (at the moment it manual filter and paste)
DATE |  |  | pivot table
NAME | AMOUNT |  | Row Labels | Sum of AMOUNT |  | CATORGERY | AMOUNT
38 TV | 10 |  | 04 BORADBAND | 7 |  | 38 BORADBAND | 30
38 WATER | 20 |  | 04 TV | 10 |  | 38 TV | 60
38 BORADBAND | 30 |  | 04 WATER | 9 |  | 38 WATER | 30
38 TV | 50 |  | 38 BORADBAND | 30
38 WATER | 10 |  | 38 TV | 60
04 TV | 5 |  | 38 WATER | 30 |  |  | 30
04 WATER | 6 |  | Grand Total | 146 |  | 38 TV | 60
04 BORADBAND | 7 |  |  |  |  | 38 WATER | 30
04 TV | 5
04 WATER | 3 |  |  |  |  |  | 30
 |  |  |  |  |  | 38 TV | 60
 |  |  |  |  |  | 38 WATER | 30
Spreadsheet: 547778d1510739767-link-cells-on-the-same-excel-row-to-the-query-line-book1
Sheet: Sheet1

 | Column1 | Column2 | Column3 | Column4 | Column5 | Column6 | Column7 | Column8 | Column9 | Column10 | Column11 | Column12 | Column13
Reversal of Accruals (Consultants) | assfas | - | - | - | 40 | - | - | - | - | - | - | - | - |  |  | Accruals | 2017
Accruals (Consultants) | assfas | - | - | - | 40 | - | - | - | - | - | - | - | - |  |  | Accruals | 2017
Accruals (Consultants) | assfas | - | - | - | - | 200 | - | - | - | - | - | - | - |  |  | Accruals | 2017
Accruals (Consultants) | assfas | - | - | - | - | 200 | - | - | - | - | - | - | - |  |  | Accruals | 2017
Accruals (Consultants) | assfas | - | - | - | - | 200 | - | - | - | - | - | - | - |  |  | Accruals | 2017
Accruals (Consultants) | assfas | - | - | - | - | 200 | - | - | - | - | - | - | - |  |  | Accruals | 2017
Reversal of Accruals (Consultants) | assfas | - | - | - | - | 200 | - | - | - | - | - | - | - |  |  | Accruals | 2017
Accruals (Consultants) | assfas | - | - | - | - | - | 312 | - | - | - | - | - | - |  |  | Accruals | 2017
Accruals (Consultants) | assfas | - | - | - | - | - | 312 | - | - | - | - | - | - |  |  | Accruals | 2017
Accruals (Consultants) | assfas | - | - | - | - | - | 312 | - | - | - | - | - | - |  |  | Accruals | 2017
Accruals (Consultants) | assfas | - | - | - | - | - | 312 | - | - | - | - | - | - |  |  | Accruals | 2017
Reversal of Accruals (Consultants) | assfas | - | - | - | - | - | 312 | - | - | - | - | - | - |  |  | Accruals | 2017
Reversal of Accruals (Consultants) | assfas | - | - | - | - | - | 312 | - | - | - | - | - | - |  |  | Accruals | 2017
Reversal of Accruals (Consultants) | assfas | - | - | - | - | - | 312 | - | - | - | - | - | - |  |  | Accruals | 2017
Reversal of Accruals (Consultants) | assfas | - | - | - | - | - | 312 | - | - | - | - | - | - |  |  | Accruals | 2017
Spreadsheet: 10ff2eaa-dcdc-41cf-ac30-5b795be6e0ae
Sheet: Sheet1

Table 1--U.S. rice supply and use  1/ | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7
Item | 2005/06 | 2006/07 | 2007/08 | 2008/09 | 2009/10 | 2010/11 | 2011/12
 |  |  |  |  |  |  | 2/
TOTAL RICE |  |  |  | Million acres
Area:
Planted | 3.384 | 2.838 | 2.761 | 2.995 | 3.135 | 3.636 | 2.689
Harvested | 3.364 | 2.821 | 2.748 | 2.976 | 3.103 | 3.615 | 2.618
 |  |  |  | Pounds per harvested acre
Yield | 6624 | 6898 | 7219 | 6846 | 7085 | 6725 | 7067
 |  |  |  | Million cwt
Beginning stocks | 37.71 | 42.992 | 39.315 | 29.492 | 30.419 | 36.499 | 48.467
Production | 222.833 | 194.585 | 198.388 | 203.733 | 219.85 | 243.104 | 185.009
Imports | 17.134 | 20.581 | 23.9 | 19.218 | 19.019 | 18.336 | 20.5
Total supply | 277.677 | 258.158 | 261.603 | 252.443 | 269.288 | 297.939 | 253.5
Food, industrial,
& residual 3/ | 116.329 | 124.671 | 123.152 | 123.77 | 120.012 | 134.502
Seed | 3.503 | 3.408 | 3.697 | 3.87 | 4.488 | 3.324
Total domestic use | 119.832 | 128.079 | 126.849 | 127.64 | 124.5 | 137.826 | 123
Exports | 114.853 | 90.764 | 105.262 | 94.384 | 108.341 | 111.646 | 92
Rough | 33.449 | 32.112 | 37.663 | 31.633 | 40.351 | 34.896 | 32
Milled 4/ | 81.404 | 58.652 | 67.599 | 62.751 | 67.953 | 76.75 | 60
Total use | 234.685 | 218.843 | 232.111 | 222.024 | 232.841 | 249.472 | 213
Ending stocks | 42.992 | 39.315 | 29.492 | 30.419 | 36.499 | 48.46700000000004 | 39
 |  |  |  | Percent
Stocks-to-use ratio | 18.31902337175363 | 17.96493376530206 | 12.70598980660115 | 13.70077108781033 | 15.67550388462513 | 19.42783158029761 | 18.1
 |  |  |  | $/cwt
Average farm |  |  |  |  |  |  | 13.8
price 5/ | 7.65 | 9.96 | 12.8 | 16.8 | 14.4 | 12.7 | 14.2
 |  |  |  | Percent
Average
milling rate | 70.25 | 71 | 69.88 | 70.83 | 71.53 | 68.86 | 70
N/A = not available.  1/ August-July market year; rough equivalent.  2/ Projected.  3/ Residual includes unreported
use, processing losses, and estimating errors.  4/  Rough-rice equivalent.  5/ Market-year weighted average.
Source: World Agricultural Supply and Demand Estimates, WAOB, USDA.
Updated April 10, 2012.
Spreadsheet: c9c02150-0a10-4d2a-8c84-8713ae77a617
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | RUN | T1 | BIKE | T2 | SKI | POSITION | TOTAL TIME
3591 | 6171 | Armin | Beyrich | GER | 164 | [NAME] | 00:00:00 | 00:40:12 | 00:00:00 | 00:29:30 | 1 | 01:36:11
3591 | 21546 | [NAME] | Grutsch | AUT | 162 | [NAME] | 00:00:00 | 00:41:01 | 00:00:00 | 00:30:24 | 2 | 01:37:54
3591 | 21946 | Reinhold | Wolter | GER | 163 | 00:30:48 | 00:00:00 | [NAME] | 00:00:00 | 00:40:58 | 3 | 02:10:43
Spreadsheet: 842918d1694911795-help-with-rows-in-tournamen-sheet-j-k-and-l-to-reflect-on-column-m-base-on-markup-and-tournament-sheet-west123-
Sheet: Sheet1

Day | Date | Buy-ins | Cashes | PNL | Rakeback | Bonuses | Day Results |  |  |  | Mawney | 123 | Fish points gained | Cash Game |  |  | Fish points
 | (Total)
(/B)
 | (AVG) |  |  |  |  |  |  |  | share to sell |  |  | my  buyin base on % sold
Game ID | Network | Days | Start | End Time | Category | Tournaments | Player | [NAME] | percentage | % sold | Buy-in | Prize | Rakeback | Bonuses | Rank | Entrants | Minutes | Duration | Rebuy | FT | WINS | $/Hr | Profit | Balance | Deposit | Cash | Cash Total | $Stake | Finish % | Rake*Rebuy | stake | Include? | Index | Prize 2
 |  |  | 2023-05-15 14:10:00 |  | Cash
 |  |  | 2023-06-17 00:00:00 |  | Starting Roll
 | GG |  | 2023-06-17 15:05:00 |  | GG | Sunday Hundred Grand $15, $100K | mochalov13 | 1.5 | 85 |  |  |  | 1.3 |  | 142 | 370 | 0.28 | 04:19:11
 | GG |  | 2023-06-17 15:05:00 |  | GG | [NAME] Sunday Special $15 | mochalov14 | 1.5 | 100 | 0.34 |  | 100 | 1.25 |  | 86 | 370 | 0.4 | 04:19:11
 | GG |  | 2023-06-17 15:05:00 |  | GG | Mini SUPER SIX Bounty Turbo $6.45 | maradona1513 | 1.5 | 80 | 0.6 |  | 6.579 | 1.21 |  | 783 | 1023 | 0.62 | 04:28:03
 | GG |  | 2023-06-17 15:05:00 |  | GG | Mini SUPER SIX Bounty Turbo $6.45 | DontCallMeChris | 1.2 | 80 |  |  |  | 1.05 |  | 981 | 1022 | 0.82 | 04:28:03
 | GG |  | 2023-06-17 15:05:00 |  | GG | SUPER SIX Bounty Turbo $64.50 | AA-KK-QQ | 1.5 | 70 |  |  |  | 1.12 |  | 313 | 370 | 0.44 | 04:19:11
 | GG |  | 2023-06-17 15:25:00 |  | PokerStars | Saturday Session: Bounty Turbo Takedown $12.90 | Dany [NAME] | 1.38 | 90 |  |  |  | 1.3 |  | 460 | 603 | 0.4 | 03:04:33
 | GG |  | 2023-06-17 15:25:00 |  | PokerStars | Saturday Session: Bounty Turbo Takedown $12.90 | gbak | 2 | 50 |  |  |  | 1.2 |  | 79 | 603 | 0.4 | 03:04:33
 | GG |  | 2023-06-17 15:30:00 |  | PokerStars | [NAME] Special $5.40 | BluffThemAll | 1.05 | 90 |  |  |  | 1.12 |  | 749 | 787 | 0.49 | 02:53:37
 | GG |  | 2023-06-17 16:15:00 |  | PokerStars | Bounty Hunters Deepstack Turbo $32.10 | Allinwin7 | 1.25 | 90 |  |  |  | 1.15 |  | 392 | 442 | 0.52 | 04:51:34
 | GG |  | 2023-06-17 17:10:00 |  | PokerStars | Speed Racer Bounty $5.40 | Jenipapo | 2 | 50 |  |  |  | 1.25 |  | 164 | 419 | 0.47 | 01:10:44
 | GG |  | 2023-06-17 18:10:00 |  | PokerStars | Speed Racer Bounty $21.60 | Allinwin7 | 1.38 | 90 |  |  |  | 1.2 |  | 5 | 148 | 0.47 | 00:59:48
 | GG |  | 2023-06-17 19:10:00 |  | Partypoker | Speed Racer Bounty $3.21 | [NAME] | 2 | 50 |  |  |  | 1.15 |  | 451 | 455 | 0.5 | 01:04:12
 | GG |  | 2023-06-17 19:10:00 |  | Partypoker | Speed Racer Bounty $3.21 | chi! | 1.5 | 90 |  |  |  | 1.11 |  | 409 | 455 | 0.5 | 01:04:12
 | GG |  | 2023-06-17 19:10:00 |  | Partypoker | Speed Racer Bounty $32.10 | tinh1dem123 | 2 | 40 |  |  |  | 1.2 |  | 105 | 111 | 0.3 | 00:55:15
 | GG |  | 2023-06-17 19:10:00 |  | Partypoker | Speed Racer Bounty $32.10 | Ruiers | 1.4 | 90 |  |  |  | 1.35 |  | 99 | 111 | 0.1 | 00:55:15
 | GG |  | 2023-06-17 19:10:00 |  | Partypoker | Speed Racer Bounty $32.10 | leo56 | 1.4 | 90 |  |  |  | 1.29 |  | 69 | 111 | 0.4 | 00:55:15