tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: a984cf02-7510-4d84-b18e-4f9086984606
Sheet: TTM Recon Q2FY09

ELECTRONIC ARTS INC. AND SUBSIDIARIES
Reconciliation of GAAP to Non-GAAP Unaudited Condensed Consolidated Statements of Operations  - Trailing Twelve Months (TTM)
(in millions, except per share data)
 | Trailing Twelve Months Ended September 30, 2008
 | GAAP Results |  | Acquisition-related expenses |  | Change in Deferred Net Revenue (Packaged Goods and Digital Content) |  | Loss on Strategic Investments |  | Restructuring Charges |  | Stock-Based Compensation |  | Income Tax Adjustments |  | Non-GAAP Results
Net revenue | 4328 |  | 0 |  | 60 |  | 0 |  | 0 |  | 0 |  | 0 |  | 4388
Cost of goods sold | 2097 |  | -19 |  | 0 |  | 0 |  | 0 |  | -2 |  | 0 |  | 2076
Gross profit | 2231 |  | 19 |  | 60 |  | 0 |  | 0 |  | 2 |  | 0 |  | 2312
Operating expenses:
Marketing and sales | 666 |  | 0 |  | 0 |  | 0 |  | 0 |  | -20 |  | 0 |  | 646
General and administrative | 360 |  | 0 |  | 0 |  | 0 |  | 0 |  | -43 |  | 0 |  | 317
Research and development | 1365 |  | 0 |  | 0 |  | 0 |  | 0 |  | -121 |  | 0 |  | 1244
Acquired in-process technology | 140 |  | -140 |  | 0 |  | 0 |  | 0 |  | 0 |  | 0 |  | 0
Amortization of intangibles | 51 |  | -51 |  | 0 |  | 0 |  | 0 |  | 0 |  | 0 |  | 0
Certain abandoned acquistion-related costs | 21 |  | -21 |  | 0 |  | 0 |  | 0 |  | 0 |  | 0 |  | 0
Restructuring charges | 119 |  | 0 |  | 0 |  | 0 |  | -119 |  | 0 |  | 0 |  | 0
Total operating expenses | 2722 |  | -212 |  | 0 |  | 0 |  | -119 |  | -184 |  | 0 |  | 2207
Operating income (loss) | -491 |  | 231 |  | 60 |  | 0 |  | 119 |  | 186 |  | 0 |  | 105
Loss on strategic investments | -158 |  | 0 |  | 0 |  | 158 |  | 0 |  | 0 |  | 0 |  | 0
Interest and other income, net | 61 |  | 0 |  | 0 |  | 0 |  | 0 |  | 0 |  | 0 |  | 61
Income (loss) before provison for (benefit from) income taxes | -588 |  | 231 |  | 60 |  | 158 |  | 119 |  | 186 |  | 0 |  | 166
Provision for (benefit from) income taxes | -56 |  | 0 |  | 0 |  | 0 |  | 0 |  | 0 |  | 57 |  | 1
Net income (loss) | -532 |  | 231 |  | 60 |  | 158 |  | 119 |  | 186 |  | -57 |  | 165
Loss per share |  |  |  |  |  |  |  |  |  |  | Earnings per share
Basic and diluted | -1.67 |  |  |  |  |  |  |  |  |  | Diluted |  |  |  | 0.51
Spreadsheet: 134391d1325263106-formula-to-pull-cell-info-from-workbook-excel-sample
Sheet: total

TOTALS | group 6400-6449
RO | VEHICLE | DATE IN | DATE OUT | TOTAL COST | DEDUCT | CUST PAY
6450
Spreadsheet: 456035d1460616287-calculate-formulas-in-rolling-5-day-monday-to-friday-sets-of-data-oeldere2-455443d1460356845-calculate-formulas-in-rolling-5-day-monday-to-friday-sets-of-data-
Sheet: Sheet1

day | AAPL | % Move | year | week
Friday | 2016-04-08 00:00:00 | 0.1846 |  |  |  |  |  |  | Rijlabels | Som | [NAME] | Min | Stdev
Thursday | 2016-04-07 00:00:00 | -0.1842 |  |  |  |  |  |  | 2013
Wednesday | 2016-04-06 00:00:00 | 0.1318 |  |  |  |  |  |  | 47 | 12 | 12 | 12 | #[NAME]!
Tuesday | 2016-04-05 00:00:00 | -0.0615 |  |  |  |  |  |  | 2014
Monday | 2016-04-04 00:00:00 | 0 |  |  |  |  |  |  | 29 | 40 | 40 | 40 | #[NAME]!
Friday | 2016-04-01 00:00:00 | 0.0967 |  |  |  |  |  |  | 2016
Thursday | 2016-03-31 00:00:00 | 0.3704 |  |  |  |  |  |  | 14 | 1.9916 | 0.8485 | 0.0967 | 0.2801584230395367
Wednesday | 2016-03-30 00:00:00 | 0.4163 |  |  |  |  |  |  | 15 | 0.07069999999999999 | 0.1846 | -0.1842 | 0.1484592469332914
Tuesday | 2016-03-29 00:00:00 | 0.8485 |  |  |  |  |  |  | Eindtotaal | 54.0623 | 40 | -0.1842 | 11.68384815939262
Monday | 2016-03-28 00:00:00 | 0.2597
date | 2014-07-18 00:00:00 | 40
date | 2013-11-23 00:00:00 | 12
Spreadsheet: 53741d1253654593-general-ledger-template-general-ledger-wilverley
Sheet: Itemised Expenses

G/L Code | Invoice Date | Invoice Number | Authoriser | Invoice Amount | Payee\Company Name | Description | Sent to PW | Input Date | [NAME]
10 | 2009-01-01 00:00:00 | 100 | [NAME] | 1000 | [NAME] | Mail shot | Yes | 2005-01-04 00:00:00
1001 | 2009-03-03 00:00:00 | 12220010101 | [NAME] | 2500 | A. Datum Corporation | 2 desktop computers | No
1103 | 2009-04-01 00:00:00 | 102 | [NAME] | 1500 | M&S | Nice dinner | Yes
7254 | 2009-02-02 00:00:00 | 2292929 | [NAME] | 1000 | Waitrose | [NAME] | No
10 | 2009-01-01 00:00:00 | asas | [NAME] | 2000 | Macys | New Ball Gown | Yes
10 | 2009-02-01 00:00:00 | IP132/33/a | [NAME] | 1000 | Vera Wang | Shoes | Yes
11 | 2009-01-01 00:00:00 |  |  | 50
10 | 2009-03-01 00:00:00 |  |  | 10
11 | 2009-02-01 00:00:00 |  |  | 10
1001 | 2009-01-01 00:00:00 |  |  | 100
Spreadsheet: jeff_dasovich__14103__California PJM and NE Tables revised2
Sheet: A21

TABLE A21 FREQUENCY OF PRICE SPIKES IN CALIFORNIA ISO GENERATOR REPLACEMENT RESERVE MARKET NP15
PRICE EQUALS OR EXCEEDS | FY 00/99 | FY 99/98
 | # of hours
 | % of available hours
100 | 152 | 139
 | 0.01731 | 0.01587
250 | 88 | 61
 | 0.01 | 0.00696
500 | 65 | 0
 | 0.0074 | 0
750 | 10 | 0
 | 0.00114 | 0
1000 | 0 | 0
 | 0 | 0
Source: CAISO website (www.caiso.com)
FY 00/99: 8/1/1999-7/31/2000
FY 99/98: 8/1/1998-7/31/1999
Spreadsheet: 078aaeae-242b-4b3d-81cf-853b3622435a
Sheet: Sheet1

2014 DIVISION 1 CIF-SS/FORD BOYS VOLLEYBALL CHAMPIONSHIPS, presented by Farmers | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6
1ST ROUND |  | 2ND ROUND | QTR FINALS | SEMI-FINALS | FINALS
TUES., MAY 13 |  | THURS., MAY 15 | SAT., MAY 17 | WED., MAY 21 | SATURDAY
 |  |  |  |  | MAY 24, 2014
*Huntington Beach | Sunset #1 |  |  |  | CERRITOS COLLEGE
 |  | Huntington Beach
Tesoro | Winner WC "A" | 25-15,25-15,25-14
*Notre Dame/SO | Mission #2 |  | Huntington Beach
 |  | *Palos Verdes | 25-17,25-22,25-12
Palos Verdes | Bay #3 | 25-15,13-25,25-20,25-23
*Santa Margarita | Trinity #1 |  | F | Huntington Beach
 |  | *Santa Margarita |  | 25-20,25-18,25-15
Canyon/CC | [NAME] | 25-14,25-18,25-23
*Westlake | Marmonte #2 | F | *Westlake
 |  | Westlake | 25-15,28-26,25-21
Beckman | Pacific Coast #2 | 22-25,28-30,25-18
*San Clemente | South Coast #1 | 25-22,15-10
 |  | [NAME] |  | F | *Huntington Beach
Northwood | Pacific Coast #3 | 25-17,25-20,25-11 |  |  | 25-23,26-24,25-15
*Laguna Hills | Sea View #1 |  | *Lutheran/Orange
 |  | *Lutheran/Orange | 25-21,21-25,25-18,25-22
Lutheran/Orange | Trinity #3 | 23-25,25-21,25-23,25-21
*[NAME]/Valencia | Foothill #1 |  | F | *Redondo Union
 |  | *Thousand Oaks | 5:00 pm | 25-23,22-25,25-17,25-23
Thousand Oaks | Marmonte #3 | 15-25,25-15,25-21,25-17,15-8
*Redondo Union | Bay #1 | at Agoura HS | Redondo Union
 |  | Redondo Union | 25-22,25-23,23-25,125-19
Alemany | Mission #3 | 25-13,25-17,21-25,25-19
*Loyola | Mission #1 |  |  | Saturday, 7:30pm
 |  | Loyola |  |  |  | [NAME]
Royal | Marmonte #4 | 25-20,25-18,25-12 |  |  |  | 25-17,20-25
*St. [NAME] | Trinity #2 | F | *Loyola |  |  | 25-17,25-10
 |  | *St. [NAME] | 25-14,23-25,25-17,25-21
West Ranch | Foothill #2 | 26-24,25-21,25-19
*Los Alamitos | Sunset #2 |  |  | *Loyola
 |  | *[NAME] |  | 25-17,25-18,25-23
[NAME] | South Coast #3 | 28-26,10-25,25-22,25-20
*Mira Costa | Bay #2 |  | [NAME]
 |  | [NAME] | 22-25,26-24,19-25
Mission Viejo | Sea View #3 | 25-11,25-17,25-16 | 25-21,15-13
*Newbury Park | Marmonte #1 |  |  |  | Loyola
 |  | Newbury Park |  | F | 25-17,20-25,18-25
Peninsula | Bay At-Lrg | 25-11,26-24,25-16 |  |  | 25-23,15-14
*[NAME] | South Coast #2 | F | *[NAME]
 |  | *[NAME] | 25-22,25-23,22-25,25-21
Edison | Sunset #3 | 23-25,25-17,27-25,25-22
*San Juan Hills | Sea View #2
 |  | San Juan Hills | F | Corona del Mar
Saugus | Foothill #3 | 25-21,25-17,24-26,25-18 |  | 25-16,25-22,25-20
*Corona del Mar | Pacific Coast #1 | F | Corona del Mar
 |  | *Corona del Mar | 25-14,25-10,25-21
Harvard-Westlake | Mission #4 | 25-11,25-18,25-12
*Denotes Host Team
2014 BOYS VOLLEYBALL DIVISION 1
Spreadsheet: 874526d1721126005-sort-list-of-dates-times-wont-work-sorting-times-and-dates-v3
Sheet: Blad2

tijdstip |  | tijdstip2
27-09-2023 15:43:29.197
27-09-2023 15:43:18.289
27-09-2023 15:43:00.143
27-09-2023 15:43:00.127
27-09-2023 15:42:45.059
27-09-2023 15:40:43.185
27-09-2023 15:39:44.949
27-09-2023 15:38:42.447
27-09-2023 15:38:24.786
27-09-2023 15:34:56.638
27-09-2023 15:34:42.888
27-06-2024 09:35:35.355
26-09-2023 11:06:44.532
26-09-2023 11:02:00.758
26-09-2023 11:01:24.184
25-09-2023 17:55:08.623
25-09-2023 17:31:34.926
25-09-2023 17:31:03.177
22-09-2023 10:47:03.157
22-09-2023 10:39:17.101
22-09-2023 09:50:27.105
22-09-2023 09:50:27.100
22-09-2023 09:50:27.099
22-09-2023 09:50:27.084
22-09-2023 09:50:27.082
22-09-2023 09:50:27.019
22-09-2023 09:50:27.017
22-09-2023 09:50:27.017
22-09-2023 09:50:26.241
22-09-2023 09:50:26.116
22-09-2023 09:50:26.116
20-02-2023 14:13:00.211
20-02-2023 14:12:25.940
20-02-2023 14:12:25.938
20-02-2023 14:12:25.938
20-02-2023 14:12:25.913
20-02-2023 14:12:25.913
20-02-2023 14:12:25.910
20-02-2023 14:12:25.877
20-02-2023 14:12:25.877
20-02-2023 14:12:25.877
20-02-2023 14:12:23.014
20-02-2023 14:12:23.012
20-02-2023 14:12:22.908
20-02-2023 14:12:22.905
20-02-2023 14:12:22.870
20-02-2023 14:12:22.870
20-02-2023 14:12:22.870
20-02-2023 14:12:20.546
20-02-2023 14:12:20.544
20-02-2023 14:12:20.502
20-02-2023 14:12:20.500
20-02-2023 14:12:20.466
20-02-2023 14:12:20.466
20-02-2023 14:12:20.466
20-02-2023 14:12:20.412
20-02-2023 14:12:20.396
20-02-2023 14:12:19.384
20-02-2023 14:12:19.355
20-02-2023 14:12:19.355
20-02-2023 14:12:19.355
20-02-2023 14:12:11.964
20-02-2023 14:12:11.964
20-02-2023 14:12:00.714
20-02-2023 14:12:00.675
20-02-2023 14:12:00.671
20-02-2023 14:12:00.671
20-02-2023 14:12:00.668
20-02-2023 14:12:00.661
20-02-2023 14:12:00.087
20-02-2023 14:11:59.990
20-02-2023 14:11:59.990
20-02-2023 11:58:59.478
20-02-2023 11:56:34.193
19-09-2023 09:57:18.153
19-09-2023 09:57:18.140
19-09-2023 09:57:17.122
19-09-2023 09:57:17.100
19-09-2023 09:57:17.100
19-09-2023 09:57:17.100
19-09-2023 09:56:39.187
19-09-2023 09:56:39.183
19-09-2023 09:56:39.182
19-09-2023 09:56:39.160
19-09-2023 09:56:39.160
19-09-2023 09:56:39.100
19-09-2023 09:56:39.097
19-09-2023 09:56:39.097
19-09-2023 09:56:38.202
19-09-2023 09:56:38.065
19-09-2023 09:56:38.065
12-31-2018 10:19:00.000
12-31-2018 10:19:00.000
12-31-2018 10:19:00.000
12-31-2018 10:19:00.000
12-31-2018 10:19:00.000
12-31-2018 10:19:00.000
12-30-2021 09:52:31.747
12-30-2021 09:52:31.747
Spreadsheet: c6c92bf5-d9b9-4165-94f2-3a7d401374e3
Sheet: PAG 9 - Table 1

Beer Brazil results |  |  | Currency Translation | Organic Growth |  | % As | %
R$ million | 4Q10 | Scope |  |  | 4Q11 | Reported | Organic
Volume ('000 hl) | 24562.01625059616 | 0 | 0 | 214.5741550121238 | 24776.59040560828 | 0.008736015513665984 | 0.008736015513665976
Net revenue | 4410.553 | 0 | 0 | 470.7699999999986 | 4881.322999999999 | 0.1067371823896002 | 0.1067371823896003
Net revenue/hl | 179.5680352541477 | 0 | 0 | 17.4454730651847 | 197.0135083193324 | 0.09715244163858916 | 0.09715244163858912
[NAME] | -1315.856 | 48.65 | 0 | 10.70299999999961 | -1256.503 | -0.04510599944066795 | -0.008090246728714529
[NAME]/hl | -53.57280064367932 | 1.980700586777736 | 0 | 0.878786423739804 | -50.7133136331618 | -0.0533757238031366 | -0.01631562047324531
Gross profit | 3094.697 | 48.65 | 0 | 481.4729999999983 | 3624.819999999998 | 0.1713004536469962 | 0.1559375204446681
Gross margin | 0.7016573658677269 | 0 | 0 | 0 | 0.7425896626795644 | 410 | 310
SG&A excl. deprec.&amort. | -1112.265999999999 | 0 | 0 | -41.60300000000075 | -1153.869 | 0.03740382246692864 | 0.03740382246692857
SG&A deprec.&amort. | -122.228 | 31.236 | 0 | 10.88700000000004 | -80.105 | -0.344626435841215 | -0.1005300288099286
SG&A total | -1234.494 | 31.236 | 0 | -30.71600000000047 | -1233.974 | -0.0004212252145409101 | 0.02516545656836808
Other operating income | 200.2309999999999 | -116.751 | 0 | 158.7920000000003 | 242.2720000000002 | 0.2099624933202167 | 1.902156205079067
Normalized EBIT | 2060.434 | -36.86500000000001 | 0 | 609.548999999998 | 2633.117999999999 | 0.2779433847432136 | 0.3125058958636661
Normalized EBIT margin | 0.4671600137216354 | 0 | 0 | 0 | 0.5394271184267051 | 720 | 820
Normalized EBITDA | 2343.017 | -116.751 | 0 | 606.5959999999989 | 2832.861999999999 | 0.2090659180023018 | 0.2724723820064624
Normalized EBITDA margin | 0.5312297573569572 | 0 | 0 | 0 | 0.5803471722727629 | 490 | 760
Spreadsheet: 1199f715-3553-4add-ba69-c8b7db980ba3
Sheet: Sheet1

CONTINENT/REGION | SITE | POPULATION/CULTURAL GROUP | CALIBRATED DATE BP | UNCALIBRATED DATE BP | LONGITUDE | LATITUDE | N INDIVIDUALS | -14010 G>C | -13915 T>G | -13907 C>G | -13910 C>T | SUM OF ALL LP-ASSOCIATED ALLELES | PREDICTED LACTASE PERSISTENCE FREQUENCY | REFERENCE | DATE ADDED
EUROPE | Eltville | Farmers | 1412 |  | 8.117725 | 50.02501111111111 | 1 | - | - | - | 0.5 | 0.5 | 0.75 | Burger et al. (2007) PNAS, 104(10), 3736-3741 | 16/04/2012
EUROPE | Derenburg | Farmers | 7512 |  | 10.91088888888889 | 51.871275 | 3 | - | - | - | 0 | 0 | 0 | Burger et al. (2007) PNAS, 104(10), 3736-3741 | 16/04/2012
EUROPE | Szarvas | Farmers | 7852 |  | 17.65532777777778 | 46.49489444444445 | 3 | - | - | - | 0 | 0 | 0 | Burger et al. (2007) PNAS, 104(10), 3736-3741 | 16/04/2012
EUROPE | Drestwo | [NAME]-gatherers |  | 3805 | 22.73283055555556 | 53.94515555555556 | 1 | - | - | - | 0 | 0 | 0 | Burger et al. (2007) PNAS, 104(10), 3736-3741 | 16/04/2012
EUROPE | Kretuonas | Farmers |  | 5350 | 23.60197777777778 | 54.50319722222222 | 1 | - | - | - | 0 | 0 | 0 | Burger et al. (2007) PNAS, 104(10), 3736-3741 | 16/04/2012
EUROPE | Kretuonas | Farmers |  | 5580 | 23.60197777777778 | 54.50319722222222 | 1 | - | - | - | 0 | 0 | 0 | Burger et al. (2007) PNAS, 104(10), 3736-3741 | 16/04/2012
EUROPE | Gotland_Ire58.082-18.662 | [NAME]-gatherers |  | 4350 | 18.73 | 57.64 | 10 | - | - | - | 0.05 | 0.05 | 0.0975 | [NAME]. (2010) BMC [NAME], 10:89 | 16/04/2012
EUROPE | Saint-Jean-et-Saint-Paul | Farmers |  | 4355 | 18.73 | 57.64 | 26 | - | - | - | 0 | 0 | 0 | Lacan et al. (2011) PNAS, 108(24), 9788-9791 | 16/04/2012
EUROPE | AvellanerCaveSpaiin | Farmers |  | 5920 | 2.541666666666667 | 42.075 | 7 | - | - | - | 0 | 0 | 0 | Lacan et al. (2011) PNAS, 108(24), 9788-9791 | 16/04/2012
EUROPE | SanJuanAntePortamLatinam | Farmers |  | 5070 | -2.556108 | 42.547996 | 19 | - | - | - | 0.26 | 0.26 | 0.4524 | Plantinga et al. (2012) Eur J Hum Genet. | 16/04/2012
EUROPE | Longar | Farmers |  | 4450 | -2.393107 | 42.124636 | 7 | - | - | - | 0.14 | 0.14 | 0.2604 | Plantinga et al. (2012) Eur J Hum Genet. | 16/04/2012
EUROPE | Hungary | Hungarian classical conquerers + commoners |  | 1012-1112 | 19.08 | 47.5 | 23 | - | - | - | 0.11 | 0.11 | 0.2079 | Nagy et al. (2011) American Journal of Physical Anthropology, 145(2), 262-269
Spreadsheet: 836434d1689350114-forecast-model-removing-spikes-example
Sheet: Sheet1

Month 1 | Month 2 | Month 3 | Month 4 | Month 5 | Month 6 | Month 7 | Month 8 | Month 9 | Month 10 | Month 11 | Month 12 |  | Average
144 | 0 | 0 | 432 | 288 | 144 | 21 | 288 | 144 | 432 | 0 | 0
2122 | 0 | 190 | 1212 | 2230 | 88 | 144 | 1110 | 1716 | 710 | 700 | 260
5204 | 4050 | 63465 | 21010 | 500 | 27900 | 41475 | 13550 | 5200 | 20550 | 200 | 3333
14781 | 3900 | 4500 | 13300 | 7900 | 6940 | 2764 | 3830 | 6600 | 1200 | 5000 | 5800
575 | 8350 | 2000 | 8065 | 2350 | 20300 | 200 | 13500 | 900 | 7300 | 7510 | 5000
1366 | 1300 | 1827 | 4460 | 1800 | 1660 | 1330 | 1250 | 6358 | 935 | 1302 | 1200
8820 | 77195 | 11187 | 31441 | 13542 | 19737 | 20532 | 56853 | 13013 | 10950 | 14980 | 12601
4600 | 3610 | 2302 | 3350 | 7510 | 118 | 1900 | 1600 | 104 | 0 | 7950 | 2005
2120 | 8010 | 3544 | 2500 | 1230 | 863 | 5533 | 29093 | 13980 | 30400 | 9532 | 3852
6600 | 4560 | 4700 | 6500 | 1044 | 6270 | 25 | 4850 | 4200 | 14400 | 19365 | 3335
120 | 1110 | 2958 | 1038 | 3960 | 604 | 520 | 394 | 230 | 360 | 1466 | 404
2311 | 3222 | 2145 | 3081 | 1492 | 11750 | 10791 | 2957 | 4732 | 9200 | 10900 | 2790
79602 | 208672 | 22055 | 94975 | 126258 | 64960 | 102550 | 525 | 102250 | 2225 | 4500 | 207000
1942 | 1140 | 4222 | 1111 | 2565 | 2371 | 2890 | 964 | 10654 | 1482 | 1305 | 6420
3 | 4 | 7 | 7 | 4 | 3 | 5 | 0 | 15 | 5 | 25 | 1
6579 | 6059 | 5264 | 6620 | 8368 | 4500 | 5658 | 49800 | 8472 | 6922 | 8898 | 33250
7217 | 7142 | 6437 | 7592 | 6492 | 5912 | 5911 | 50408 | 9829 | 8679 | 5413 | 32499
4111 | 3525 | 4529 | 3867 | 3157 | 3550 | 3402 | 47425 | 4061 | 4440 | 3601 | 29660
3670 | 3148 | 201 | 1836 | 95 | 109 | 1597 | 112 | 2060 | 720 | 66 | 2537
2150 | 2861 | 2400 | 2567 | 2073 | 1100 | 3491 | 34433 | 2325 | 2000 | 5615 | 16774
Spreadsheet: 2cfceee1-64a2-4f7f-ac00-2eea688171e9
Sheet: Sheet1

Index Investment Data | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6
In U.S. Dollars and Futures Equivalent Contracts
 | 2011-11-30 00:00:00 | 2011-11-30 00:00:00 | 2011-11-30 00:00:00 | 2011-11-30 00:00:00 | 2011-11-30 00:00:00 | 2011-11-30 00:00:00
U.S. Futures Market1 | Notional Value (Billions US$) |  |  | Futures Equivalent Contracts3 (Thousands)
(Notional Value > 0.5 billion US$)2 | Long | Short | Net L (S) | Long | Short | Net L (S)
Cocoa | 1.1 | -0.4 | 0.7 | 48 | -17 | 30
Coffee | 5.3 | -2 | 3.3 | 60 | -22 | 37
Copper | 7.9 | -2.2 | 5.7 | 89 | -25 | 64
Corn | 19.2 | -7.2 | 12 | 637 | -239 | 397
Cotton | 4.3 | -1.5 | 2.9 | 96 | -33 | 63
[NAME] | 0.8 | -0.2 | 0.6 | 10 | -2 | 8
Gold | 30 | -9.5 | 20.5 | 171 | -55 | 117
Heating Oil | 11.4 | -2.9 | 8.4 | 90 | -23 | 67
[NAME] | 5.2 | -1.7 | 3.5 | 140 | -48 | 93
Live Cattle | 9.1 | -2.9 | 6.3 | 184 | -59 | 126
Natural Gas | 16.2 | -4.1 | 12.1 | 450 | -115 | 336
RBOB Unleaded Gas | 10.2 | -2.3 | 7.9 | 94 | -21 | 73
Silver | 6.9 | -1.6 | 5.3 | 42 | -10 | 32
Soybean Meal | 0.7 | -0.1 | 0.6 | 24 | -4 | 20
Soybean Oil | 4 | -1.3 | 2.6 | 133 | -45 | 89
Soybeans | 13.9 | -4 | 10 | 245 | -70 | 175
Sugar | 8.4 | -2.4 | 6 | 318 | -91 | 227
Wheat (CBOT) | 10.7 | -4.8 | 5.9 | 345 | -155 | 189
Wheat (KCBT) | 1.2 | -0.4 | 0.8 | 37 | -12 | 25
WTI Crude Oil | 69.4 | -26.7 | 42.7 | 695 | -267 | 428
Subtotal (>0.5 billion US$) | 235.9 | -78.2 | 157.7
Subtotal (<0.5 billion US$) | 1.4 | -0.4 | 1
Total Notional US Mkts | 237.5 | -78.6 | 158.9
Total Not'l Non-US Mkts | 55.2 | -15.6 | 39.5
Total All Markets | 292.7 | -94.3 | 198.4
1 Each listed U.S. futures market includes index investment for all futures and OTC markets related to or referenced to that U.S. futures market.  For example, the U.S. market listed as “WTI Crude Oil” includes (with the NYMEX’s Light “Sweet” crude oil futures market) investments held in the NYMEX “Crude Oil Financial” market and the ICE Futures-Europe WTI Light Sweet crude oil market, because both of those contracts’ settlement prices are determined by reference to the NYMEX Light “Sweet” crude oil futures contract.
2 US Futures Markets with 0.5 billion US dollars or more in reported net index investment notional value on the report date.
3Futures Equivalent Contracts: Futures plus delta-adjusted options, estimating what [NAME] would have been established absent offsets.
(See the Explanatory Notes for more details about this data)
Spreadsheet: 39024ee0-7955-47ef-ba63-20aca9fae83e
Sheet: Sheet1

Figure 1B | Unnamed: 1 | Unnamed: 2
Time on blue food | unmanipulated vs Salmonella | media vs Salmonella
10 min | p = 0.0015 | p < 0.0001
15 min | p < 0.0001 | p < 0.0001
20 min | p = 0.0002 | p < 0.0001
25 min | p = 0.0016 | p = 0.0093
30 min | p = 0.3893 | p = 0.1536
35 min | p = 0.0006 | p < 0.0001
Spreadsheet: 199659d1355278572-if-statments-eg
Sheet: Sheet2

Asset Number | User ID | User ID
z | 324 | 324
z | 324
df | 12 | 12
df | 12
g | 57454 | 57454
g | 57454
g | 57454
Spreadsheet: 763055d1641968722-requesting-for-a-nested-formula-to-allot-the-amount-formula
Sheet: Sheet1

2021-12-01 00:00:00 |  |  |  |  |  |  |  |  |  |  | Parameter | Criteria
 |  |  |  |  |  |  |  |  |  |  | Attendance | 1 day leave or no leaves
 |  |  |  |  |  |  |  |  |  |  | Other Parameters | >= team average
Name | Cummulative Score | Talktime | Leaves | EMP ID | Eligibility | Category | Amount | Rank
AAA | Not Eligible | 1 | 0 | ED21833273 | Cummulative Score | 5 |  | 31 |  |  | Slab | Criteria | Amount (TBD)
BBB | Not Eligible | 0 | 2 | ED21834339 | Cummulative Score | 5 |  | 28 |  |  | 1 | With 100% attendance & all other criteria | 10000 | 9000
CCC | Eligible | 1 | 0 | ED21833277 | Eligible | 1 |  | 4 |  |  | 2 | With 100% attendance & all criteria (except TT >= 2 hour | 8000 | 7000
DDDD | Not Eligible | 0 | 1 | ED21833479 | Cummulative Score | 5 |  | 34 |  |  | 3 | With 1 day leave & all criteria | 6000 | 5000
EEEE | Not Eligible | 2 | 1 | ED21817669 | Cummulative Score | 5 |  | 21 |  |  | 4 | With 1 day leave & all criteria (except TT >= 2 hour | 4000
FFFF | Not Eligible | 0 | 4 | ED201804269 | Cummulative Score | 5 |  | 20
GGGG | Not Eligible | 0 | 3 | ED201804270 | Cummulative Score | 5 |  | 37
HHHH | Not Eligible | 2 | 1 | ED21854295 | Cummulative Score | 5 |  | 27
IIIII | Eligible | 1 | 0 | ED201705637 | Eligible | 1 |  | 3
JJJJJJ | Eligible | 1 | 4 | ED21834792 | Attendance | 5 |  | 13
KKKK | Eligible | 1 | 0 | ED201500744 | Eligible | 1 |  | 1
LLLLLLL | Not Eligible | 0 | 3 | ED21853052 | Cummulative Score | 5 |  | 36
Spreadsheet: 862553d1710251313-progress-bar-based-upon-hours-calculate-partial-and-full-day-hours-hwc-contractor-attendance-record
Sheet: 2024 Federal Holidays

 | 2024 Federal Holidays
 | Federal Holidays | Description
 |  | New Year's Day
 | 2024-01-15 00:00:00 | [NAME]
 | 2024-02-19 00:00:00 | Washington's Birthday
 | 2024-05-27 00:00:00 | Memorial Day
 | 2024-06-19 00:00:00 | Juneteenth National Independence Day
 |  | Independence Day
 | 2024-09-02 00:00:00 | Labor Day
 | 2024-10-14 00:00:00 | Columbus Day
 | 2024-11-11 00:00:00 | Veterans Day
 | 2024-11-28 00:00:00 | Thanksgiving Day
 |  | Christmas Day
Spreadsheet: 784831d1655971700-excel-lookup-multiple-criteria-excel-sample-workbook
Sheet: Sheet1

Product | Source | Amount | Manual Count | [NAME]
Apple | Online | 2000 | 1 |  |  |  | New Compensation Structure (w.e.f Q1FY23)
Pear | Supermarket | 4000 | 2 |  |  |  | Count (Source A 1X) | Count (Source B 2X) | $ - Apple, Orange, Pear, Cherry | $ - Watermelon, [NAME]
Orange | [NAME] | 5000 | 2 |  |  |  | 1x | 2x | <$5K | <$10K
[NAME] | Supermarket | 6000 | 4 |  |  |  | 2x | 4x | $5K-$10K | $10K-$30K
[NAME] | [NAME] | 7000 | 1 |  |  |  | 3x | 6x | >$10K | >$30K
Watermelon | Supermarket | 10000 | 4
[NAME] | Wet Market | 35000 | 3 |  |  |  | Source A | Source B
 |  |  |  |  |  |  | Wet Market | Supermarket
 |  |  |  |  |  |  | Convenience store
 |  |  |  |  |  |  | Online
 |  |  |  |  |  |  | Fruit store
Spreadsheet: 677758d1589495908-lookup-column-a-for-the-maximum-value-until-a-certain-value-is-reached-in-column-b-excel-help
Sheet: Sheet1

official_rating | placing_numerical | Prev Rating
0 | 1 | 74
0 | 2 | 74
0 | 3 | 74
74 | 4 | 74
0 | 5 | 74
0 | 6 | 74
0 | 7 | 74
76 | 1 | 76
75 | 2 | 76
0 | 3 | 76
0 | 4 | 76
0 | 5 | 76
0 | 6 | 76
0 | 7 | 76
0 | 8 | 76
0 | 9 | 76
0 | 10 | 76
0 | 11 | 76
0 | 12 | 76
0 | 13 | 76
0 | 14 | 76
0 | 15 | 76
0 | 16 | 76
0 | 17 | 76
0 | 18 | 76
80 | 1 | 93
92 | 2 | 93
81 | 3 | 93
88 | 4 | 93
78 | 5 | 93
76 | 6 | 93
77 | 7 | 93
93 | 8 | 93
75 | 9 | 93
71 | 10 | 93
80 | 11 | 93
82 | 12 | 93
77 | 13 | 93
92 | 14 | 93
80 | 1 | 92
92 | 2 | 92
86 | 3 | 92
85 | 4 | 92
84 | 5 | 92
80 | 6 | 92
80 | 7 | 92
80 | 8 | 92
80 | 9 | 92