tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 06290997-8ce5-44e6-99ec-5a5c41dc032b
Sheet: Sheet1

Table 9--U.S. cotton textile exports, by destination | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5
 | Aug. | Sep. | Oct. |  | Oct.
Region/country | 2013 | 2013 | 2013 |  | 2012
 | 1,000 pounds 1/
North America | 134247.739 | 132579.751 | 128843.303 |  | 120071.334
Bahamas | 260.41 | 151.794 | 125.128 |  | 98.368
Canada | 12142.774 | 11607.457 | 12954.834 |  | 9679.422
Costa Rica | 266.122 | 202.266 | 324.933 |  | 342.498
Dominican Republic | 22215.277 | 23782.233 | 20492.657 |  | 20584.63
El Salvador | 11564.921 | 8509.476 | 9757.49 |  | 10278.917
Guatemala | 2350.356 | 2501.833 | 2589.328 |  | 2553.092
Haiti | 771.503 | 875.72 | 579.934 |  | 760.656
Honduras | 48807.516 | 52639.611 | 47155.603 |  | 46161.496
Jamaica | 95.049 | 105.098 | 60.742 |  | 80.226
Mexico | 32727.861 | 29636.06 | 31715.688 |  | 26662.816
Nicaragua | 2275.097 | 1752.182 | 2225.184 |  | 1931.183
Panama | 396.743 | 262.318 | 463.484 |  | 345.54
South America | 5281.125 | 5903.372 | 5540.839 |  | 3656.46
Brazil | 396.539 | 437.094 | 470.088 |  | 463.066
Chile | 203.477 | 129.543 | 118.22 |  | 439.573
Colombia | 2416.098 | 3153.92 | 3116.217 |  | 1456.87
Peru | 1443.771 | 1504.373 | 1009.161 |  | 383.755
Venezuela | 494.29 | 381.548 | 452.256 |  | 541.479
Europe | 3385 | 3118.307 | 3245.261 |  | 2855.253
Belgium | 349.03 | 297.998 | 397.836 |  | 208.92
France | 149.137 | 138.974 | 136.808 |  | 107.226
Germany | 538.992 | 498.581 | 536.937 |  | 475.489
Italy | 182.772 | 169.102 | 169.616 |  | 168.088
Netherlands | 421.613 | 314.988 | 324.276 |  | 394.127
Russia | 111.179 | 130.727 | 63.012 |  | 51.147
Turkey | 89.966 | 79.665 | 35.821 |  | 79.297
United Kingdom | 1008.27 | 994.841 | 1092.067 |  | 989.202
Asia | 10041.927 | 7207.24 | 11539.13 |  | 12590.661
China | 6676.74 | 4040.965 | 7837.558 |  | 8898.187
Hong Kong | 412.197 | 357.966 | 610.052 |  | 343.725
India | 173.29 | 127.51 | 160.456 |  | 162.467
Israel | 94.749 | 61.758 | 85.614 |  | 143.091
Japan | 942.633 | 1056.38 | 846.947 |  | 843.813
Pakistan | 48.146 | 29.564 | 5 |  | 60.853
Saudi Arabia | 145.188 | 76.142 | 118.807 |  | 140.761
Singapore | 173.622 | 104.539 | 208.522 |  | 283.04
South Korea | 468.207 | 469.794 | 491.741 |  | 426.993
Taiwan | 115.137 | 123.679 | 132.454 |  | 138.774
United Arab Emirates | 188.941 | 316.256 | 189.961 |  | 328.956
Oceania | 852.096 | 763.753 | 725.302 |  | 783.027
Australia | 654.09 | 603.396 | 515.133 |  | 632.442
Africa | 341.038 | 406.906 | 367.42 |  | 375.696
South Africa | 101.997 | 67.455 | 94.738 |  | 59.221
World 2/ | 154148.925 | 149979.329 | 150261.255 |  | 140332.432
1/ Raw-fiber equivalent.  2/ Totals may not add due to rounding.
Sources: USDA, Economic Research Service; and
U.S. Dept. of Commerce, U.S. Census Bureau.
Last update: 12/12/13.
Spreadsheet: af189068-5d98-4ac2-b28d-25194e959b55
Sheet: Sheet1

Compound | Compartment | Description
10fthf | [NAME] | Consumed only
1acpr1cx | [NAME] | Consumed only
25dhpp | [NAME] | Consumed only
34hpp | [NAME] | Produced only
5aop | [NAME] | Produced only
5mcsn | [NAME] | Consumed only
5mthf | [NAME] | Consumed only
Largn | [NAME] | Consumed only
adprib | [NAME] | Consumed only
agm | [NAME] | Consumed only
ala-D | [NAME] | Produced only
[NAME] | [NAME] | Consumed only
[NAME] | [NAME] | Produced only
argtrna | [NAME] | Produced only
ascb-L | [NAME] | Consumed only
asn-L | [NAME] | Produced only
asp-D | [NAME] | Consumed only
asptrna | [NAME] | Produced only
[NAME] | [NAME] | Consumed only
b2coa | [NAME] | Produced only
cdpdag | [NAME] | Consumed only
[NAME] | [NAME] | Produced only
cystrna | [NAME] | Produced only
dhbpt | [NAME] | Produced only
dhdascb | [NAME] | Produced only
dhf | [NAME] | Produced only
dna | [NAME] | Consumed only
dna5mtc | [NAME] | Produced only
dttp | [NAME] | Produced only
[NAME] | [NAME] | Consumed only
ethy | [NAME] | Produced only
fmettrna | [NAME] | Produced only
for | [NAME] | Produced only
[NAME] | [NAME] | Produced only
gam6p | [NAME] | Produced only
[NAME] | [NAME] | Consumed only
[NAME] | [NAME] | Produced only
glutrna | [NAME] | Produced only
glycogen | [NAME] | Produced only
glytrna | [NAME] | Produced only
histrna | [NAME] | Produced only
[NAME] | [NAME] | Consumed only
[NAME] | [NAME] | Produced only
inost | [NAME] | Consumed only
leutrna | [NAME] | Produced only
[NAME] | [NAME] | Produced only
mmtsa | [NAME] | Consumed only
ocdca | [NAME] | Consumed only
pap | [NAME] | Produced only
pe | [NAME] | Produced only
[NAME] | [NAME] | Produced only
pmtcoa | [NAME] | Produced only
ppa | [NAME] | Produced only
pppi | [NAME] | Produced only
[NAME] | [NAME] | Produced only
progly | [NAME] | Consumed only
protrna | [NAME] | Produced only
ptcys | [NAME] | Consumed only
ptrc | [NAME] | Produced only
quln | [NAME] | Consumed only
rhcys | [NAME] | Produced only
sertrna | [NAME] | Produced only
so4 | [NAME] | Consumed only
thbpt | [NAME] | Consumed only
thrtrna | [NAME] | Produced only
[NAME] | [NAME] | Consumed only
trnaarg | [NAME] | Consumed only
trnaasp | [NAME] | Consumed only
trnacys | [NAME] | Consumed only
trnaglu | [NAME] | Consumed only
trnagly | [NAME] | Consumed only
trnahis | [NAME] | Consumed only
trnaile | [NAME] | Consumed only
trnaleu | [NAME] | Consumed only
[NAME] | [NAME] | Consumed only
trnamet | [NAME] | Consumed only
trnaphe | [NAME] | Consumed only
trnapro | [NAME] | Consumed only
trnaser | [NAME] | Consumed only
trnathr | [NAME] | Consumed only
trnatrp | [NAME] | Consumed only
trnatyr | [NAME] | Consumed only
trnaval | [NAME] | Consumed only
[NAME] | [NAME] | Produced only
tyrtrna | [NAME] | Produced only
uamag | [NAME] | Consumed only
ugmda | [NAME] | Produced only
[NAME] | [NAME] | Produced only
valtrna | [NAME] | Produced only
Spreadsheet: 717985d1612939891-comparing-account-numbers-on-two-seerate-sheets-pq-formula-to-compare-account-numbers-of-two-sheets-aligw
Sheet: Items on AFS not on TB

Account Number
6233001
6233003
6233008
6233020
6233021
6233022
6233023
6233028
6233043
6233048
6233060
6233061
6233063
6233066
6233068
6233080
6233081
6233083
6233086
6233088
6233090
6233091
6233093
6233098
6233103
6233108
6233120
6233121
6233123
6233128
6233140
6233141
6233143
6233146
6233148
6233160
6233161
6233163
6233168
6233180
6233181
6233182
6233183
6233186
6233188
6233202
6233203
6233208
6233220
6233221
6233222
6233223
6233228
6233242
6233243
6233248
6233260
6233261
6233262
6233263
6233268
6233280
6233281
6233283
6233290
6233291
6233293
6233301
6233303
6233308
6233312
6233313
6233420
6233430
6233432
6233550
6233554
6233610
6233614
6233620
6233630
6233634
6233714
6233724
6233734
6233740
6233744
6235030
6253001
6253003
6253008
6253051
6253053
6253058
6253102
6253103
6253108
6253152
6253153
6253158
6253550
6253554
6253610
6253614
6253630
6253634
6253714
6253724
6253730
6253734
6253740
6255010
6255014
6255030
6255050
6263003
6263005
6263013
6263015
6263021
6263022
6263023
6263024
6263025
6263304
6263314
6263321
6263324
6263334
6263420
6263430
6263431
6263600
6263601
6263651
6263660
6263661
6263691
6264025
6265021
6265022
6265030
6273004
6273012
6273054
6273058
6273062
6273204
6273212
6273254
6273262
6273302
6273304
6273310
6273312
6273700
6273702
6273706
6273708
6273802
6273808
6273910
6273912
6275030
Spreadsheet: darrell_schoolcraft__7827__imbalsumm0110
Sheet: Calpine

 | Calpine So. Point Power Del
 | 78113
Day | Measured | Scheduled
1 | -79121 | -82685 |  |  |  |  |  |  |  | San Juan
2 | -79608 | -84439 |  |  |  | Month | Measured | Scheduled | Imbalance | Index | Amount
3 | -81303 | -80243 |  |  |  | 2001-02-01 00:00:00 | -537 | -5933 |  | 5.62
4 | -70269 | -82368 |  |  |  | 2001-03-01 00:00:00 | -80533 | -96000 |  | 4.98
5 | -28391 | -30650 |  |  |  | 2001-04-01 00:00:00 | -819833 | -1020974 |  | 4.87
6 | -42349 | -41999 |  |  |  | 2001-05-01 00:00:00 |  | -1252019 |  | 3.82
7 | -41948 | -41999 |  |  |  | 2001-06-01 00:00:00 |  | -1589467 |  | 3.2
8 |  |  |  |  |  | 2001-07-01 00:00:00 | -2051914 | -1898771 |  | 2.77
9 |  |  |  |  |  | 2001-08-01 00:00:00 | -2021619 | -1999977 |  | 2.77
10
11
12
13
14 |  |  |  |  |  | 9/1 - 9/25
15
16
17
18
19 |  |  |  |  |  | Accumulated @ 9/25/01
20
21 |  |  |  |  |  | Equilalent volumes at 9/25/01
22
23
24
25
26
27
28
29
30
31
2001-09-30 00:00:00 |  |  | 66284
2001-10-07 00:00:00
CBS Volume
 |  |  | 122300
Spreadsheet: 142225d1329744464-need-help-with-data-entry-form-with-multiple-search-test1
Sheet: Sheet1

Name | Veh No | Company | Din No | Designation | Contact No | [NAME] | Expire Date
RAMESH | YJ 4640 C | ACG |  |  | 8289 3219 | RED PLASTIC | 2012-12-01 00:00:00
SUTHAGAR | YN 1729 F | ACG |  |  | 8265 0496 | RED PLASTIC | 2012-12-01 00:00:00
S.PALANIAPPAN | YM 7510 J | ADY |  |  | 9483 2902 | RED PLASTIC | 2012-12-01 00:00:00
Spreadsheet: 75691d1276238314-pivot-tables-from-consolidated-data-ranges-consolidated-range-pivot-table2
Sheet: Sheet2

Count | Type | Order | Price | Qty
1 | res | DK-123 | 0.9 | 7
2 | cap | DK-125 | 0.05 | 2
3 | antenna | DK-xxx | 4.5 | 1
4 | ind | DK-101 | 1.2 | 3
5 | IC | DK-124 | 3.05 | 1
6 | grommet | DK-grom | 0.5 | 2
Spreadsheet: 185541d1349760734-how-to-combine-data-categories-when-making-a-pie-chart-monthly-expense
Sheet: Sheet1

2012-10-01 00:00:00
Date | Item | Category | Amount | *Note
2012-10-01 00:00:00 | Grocery | Food | 46.02
2012-10-02 00:00:00 | Lunch | Food | 7.9
2012-10-05 00:00:00 | 15 gallons | Gas / Fuel | 62.5
2012-10-05 00:00:00 | Bath accessories | Shopping | 41.27
2012-10-06 00:00:00 | Binders, supplies | Shopping | 35.8
2012-10-06 00:00:00 | [NAME] | Food | 13.52
2012-10-07 00:00:00 | B Buy - lens filter | Shopping | 18.41
2012-10-08 00:00:00 | Grocery | Food | 39.58
 |  |  |  |  |  | Total Food Expenses: |  |  | $
 |  |  |  |  |  | Total Gas / Fuel expenses: |  |  | $
 |  |  |  |  |  | Total Shopping expenses: |  |  | $
 |  |  |  |  |  | Total Housing expenses: |  |  | $
Spreadsheet: rick_buy__32943__Log as of FEB 12_01
Sheet: Sum Dec 6 to 12

 | Week summary (Dec 6-12)
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
4 | Miscellaneous |  |  | No process in place
5 | Uncontrollable | 0 |  | Total
 | Total
 |  |  |  | Breakdown of Cat 2
 |  |  |  | Computer breakdown | 0
 |  |  |  | Other | 0
 |  |  |  | Total
 |  |  |  | Breakdown of Cat 3
 |  |  |  | Correct inputs, incorrect outputs
 |  |  |  | Slow feeds
 |  |  |  | Feed problem
 |  |  |  | Books shown as officialized in ERMS, but not RiskTrac
 |  |  |  | Application down alternate system used
 |  |  |  | Other
 |  |  |  | Total
 |  |  |  | Breakdown of Cat 4
 |  |  |  | Credit interface | 0
 |  |  |  | Other | 0
 |  |  |  | Total
Spreadsheet: 159395d1338612021-excel-2007-how-do-i-fetch-data-based-on-conditions-sample1
Sheet: Sheet1

 |  |  |  | 2012-06-01 00:00:00 | 2012-06-02 00:00:00 | 2012-06-03 00:00:00 | 2012-06-04 00:00:00 | 2012-06-05 00:00:00 | 2012-06-06 00:00:00 | 2012-06-07 00:00:00 | 2012-06-08 00:00:00 | 2012-06-09 00:00:00 | 2012-06-10 00:00:00 | 2012-06-11 00:00:00 | 2012-06-12 00:00:00
 | if today's date is any of E2:P2, display the data under here |  |  | Data | Data | Data | Data | Data | Data | Data | Data | Data | Data | Data | Data
 |  |  |  | Data | Data | Data | Data | Data | Data | Data | Data | Data | Data | Data | Data
 |  |  |  | Data | Data | Data | Data | Data | Data | Data | Data | Data | Data | Data | Data
 |  |  |  | Data | Data | Data | Data | Data | Data | Data | Data | Data | Data | Data | Data
 |  |  |  | Data | Data | Data | Data | Data | Data | Data | Data | Data | Data | Data | Data
Spreadsheet: 166159d1341490058-date-range-filter-example-cashflow
Sheet: Sheet1

 | TRING PROJECT INCOME |  | 2012-08-31 00:00:00
 |  |  | 2012
 |  |  | Income Including VAT Summary |  |  |  |  | 2013
 |  |  | 2012-08-01 00:00:00
 |  |  |  | check
 |  |  |  | check
 |  |  | Item cost | Quantity | Price | [NAME] | Inc VAT | Date Cleared | Month | Year
 |  |  |  |  | 2000 |  |  | 2011-08-25 00:00:00
 | Stage 1 | Stage 1 |  |  | 1500 |  |  | 2011-09-25 00:00:00
 |  |  |  |  | 5000 |  |  | 2011-10-25 00:00:00
 |  |  |  |  | 6000 |  |  | 2012-12-25 00:00:00
Spreadsheet: 270533d1381514067-name-range-that-will-change-size-multiple-ranges-example
Sheet: InvTracking

 | PO#:  [NAME] | Base Year
Client | [NAME] | Reference | Unit/hrs | unit price | [NAME] |  | Invoice # | Unit/hrs | Unit price | Inv Total |  | Hours Balance |  | Cost Balance
1 | Description 1 | 4.1 | 90 | 73 |  |  | 6053 | 2 | 73
 |  |  |  |  |  |  | 6096 | 3 | 73
 |  |  |  |  |  |  | 6131 | 3 | 73
 |  |  |  |  |  |  | 6175 | 4 | 73
 |  |  |  |  |  |  | 6210 | 3 | 73
 |  |  |  |  |  |  | 6258 | 1 | 73
 |  |  |  |  |  |  | 6302 | 2 | 73
 |  |  |  |  |  |  | 6355 | 3 | 73
 |  |  |  |  |  |  | 6391 | 2 | 73
 |  |  |  |  |  |  | 6490 | 3 | 73
 |  |  |  |  |  |  | 6529 | 3 | 73
 |  |  |  |  |  |  | 6570 | 3 | 73
 |  |  |  |  |  |  | 6636 | 3 | 73
 |  |  |  |  |  |  | 6678 | 3 | 73
 |  |  |  |  |  |  | 6775 | 2 | 73
 |  |  |  |  |  |  | 6816 | 2 | 73
 |  |  |  |  |  |  | 6849 | 2 | 73
 |  |  |  |  |  |  | 6880 | 2 | 73
 |  |  |  |  |  |  | 6912 | 1 | 73
 |  |  |  |  |  |  | 6938 | 1 | 73
2 | Description 2 | 4.2 | 360 | 73 |  |  | 6210 | 5 | 73
 |  |  |  |  |  |  | 6258 | 3 | 73
 |  |  |  |  |  |  | 6355 | 7 | 73
 |  |  |  |  |  |  | 6391 | 8 | 73
 |  |  |  |  |  |  | 6438 | 3 | 73
 |  |  |  |  |  |  | 6490 | 47 | 73
 |  |  |  |  |  |  | 6529 | 53 | 73
 |  |  |  |  |  |  | 6570 | 46 | 73
 |  |  |  |  |  |  | 6636 | 30 | 73
 |  |  |  |  |  |  | 6678 | 19 | 73
 |  |  |  |  |  |  | 6775 | 32 | 73
 |  |  |  |  |  |  | 6816 | 45 | 73
 |  |  |  |  |  |  | 6849 | 13 | 73
 |  |  |  |  |  |  | 6880 | 9 | 73
 |  |  |  |  |  |  | 6912 | 18 | 73
 |  |  |  |  |  |  | 6938 | 5 | 73
3 | Description 3 | 4.3 | 180 | 73 |  |  | 5931 | 14 | 73
 |  |  |  |  |  |  | 6070 | 5 | 73
 |  |  |  |  |  |  | 6096 | 3 | 73
 |  |  |  |  |  |  | 6175 | 9 | 73
 |  |  |  |  |  |  | 6210 | 2 | 73
 |  |  |  |  |  |  | 6302 | 4 | 73
 |  |  |  |  |  |  | 6355 | 7 | 73
 |  |  |  |  |  |  | 6438 | 7 | 73
 |  |  |  |  |  |  | 6636 | 3 | 73
 |  |  |  |  |  |  | 6849 | 37 | 73
 |  |  |  |  |  |  | 6912 | 22 | 73
 |  |  |  |  |  |  | 6938 | 22 | 73
 |  |  |  |  |  |  | 6981 | 12 | 73
4 | Descroption 4 | 4.4 | 120 | 73 |  |  | 5931 | 44 | 73
 |  |  |  |  |  |  | 5963 | 43 | 73
 |  |  |  |  |  |  | 6070 | 3 | 73
 |  |  |  |  |  |  | 6912 | 3 | 73
5 | Description 5 | 4.5 | 420 | 73 |  |  | 5868 | 24 | 73
 |  |  |  |  |  |  | 6053 | 40 | 73
 |  |  |  |  |  |  | 6096 | 54 | 73
 |  |  |  |  |  |  | 6131 | 46 | 73
 |  |  |  |  |  |  | 6175 | 38 | 73
 |  |  |  |  |  |  | 6210 | 46 | 73
 |  |  |  |  |  |  | 6258 | 16 | 73
 |  |  |  |  |  |  | 6302 | 34 | 73
 |  |  |  |  |  |  | 6355 | 15 | 73
 |  |  |  |  |  |  | 6391 | 29 | 73
 |  |  |  |  |  |  | 6438 | 5 | 73
 |  |  |  |  |  |  | 6880 | 16 | 73
 |  |  |  |  |  |  | 6938 | 24 | 73
6 | Description 6 | 4.6 | 180 | 73 |  |  | 5868 | 4 | 73
7 | Description 7 | 4.7 | 90 | 73 |  |  | 5963 | 2 | 73
 |  |  |  |  |  |  | 6131 | 3 | 73
 |  |  |  |  |  |  | 6175 | 5 | 73
 |  |  |  |  |  |  | 6391 | 1 | 73
 |  |  |  |  |  |  | 6636 | 5 | 73
 |  |  |  |  |  |  | 6678 | 2 | 73
 | Totals and Balances
Spreadsheet: 374086d1422650654-need-help-combining-table-data-from-a-range-of-worksheets-to-a-separate-worksheet-orientation-roster
Sheet: PORTAL INFO

FirstName | LastName | Phone | LocationCode | WorkState | JobCode | TemplateCode | DistCode | Activate | Password | CreatorID
Spreadsheet: 0153cd35-881f-4258-bcdd-f255a9b8e588
Sheet: Sheet1

Table 8--U.S. cotton textile imports, by origin | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8
 | Mar. | Apr. | May |  | May
Region/country | 2013 | 2013 | 2013 |  | 2012
 | 1,000 pounds 1/
North America | 143308.444 | 133329.089 | 155740.641 |  | 141042.597
Canada | 2852.062 | 3023.839 | 2941.722 |  | 3040.952
Costa Rica | 687.865 | 494.079 | 496.597 |  | 871.328
Dominican Republic | 6838.911 | 6469.577 | 8827.776 |  | 6410.015
El Salvador | 20297.836 | 17105.447 | 22460.906 |  | 21806.448
Guatemala | 8251.197 | 7791.908 | 8846.617 |  | 8930.964
Haiti | 13662.017 | 14497.4 | 16457.752 |  | 13011.458
Honduras | 31598.707 | 24816.975 | 32147.194 |  | 30547.11
Mexico | 40749.508 | 43253.536 | 45323.355 |  | 43589.49
Nicaragua | 18363.675 | 15863.65 | 18236.187 |  | 12827.652
South America | 5341.988 | 4177.306 | 4497.279 |  | 4472.486
Brazil | 163.117 | 158.431 | 232.657 |  | 241.78
Colombia | 2465.582 | 1909.056 | 1948.748 |  | 1870.489
Peru | 2675.035 | 2066.811 | 2283.9 |  | 2238.891
Europe | 11153.073 | 10981.382 | 11083.374 |  | 11573.126
Germany | 1009.684 | 1085.452 | 1113.68 |  | 976.187
Italy | 1651.119 | 1712.519 | 1604.443 |  | 1639.141
Portugal | 1106.525 | 998.822 | 919.702 |  | 722.891
Turkey | 4728.641 | 4685.644 | 4640.437 |  | 4713.076
Asia | 429782.725 | 479170.471 | 499439.973 |  | 484865.068
Bahrain | 1536.084 | 1637.504 | 1468.416 |  | 1706.483
Bangladesh | 51585.066 | 48322.046 | 49069.642 |  | 43909.297
Cambodia | 17790.319 | 17637.185 | 16204.151 |  | 14631.528
China | 128014.848 | 177001.036 | 213349.79 |  | 204704.345
Hong Kong | 761.378 | 859.611 | 510.261 |  | 691.671
India | 66365.713 | 66857.585 | 60999.259 |  | 63877.285
Indonesia | 29048.129 | 29199.272 | 24498.379 |  | 22887.327
Israel | 774.485 | 574.821 | 826.201 |  | 1141.382
Japan | 1166.333 | 1055.003 | 1124.949 |  | 1266.4
Jordan | 4065.946 | 4276.171 | 4098.327 |  | 3806.034
Malaysia | 2651.68 | 2369.554 | 2318.754 |  | 2520.497
Pakistan | 61731.93 | 61264.362 | 59102.196 |  | 62791.018
Philippines | 5084.08 | 5022.731 | 4694.137 |  | 4524.048
South Korea | 4852.106 | 5772.812 | 6425.418 |  | 5747.892
Sri Lanka | 7296.354 | 7473.313 | 5854.822 |  | 4716.623
Taiwan | 1655.188 | 2350.173 | 2376.35 |  | 3096.619
Thailand | 5856.408 | 6239.354 | 6437.813 |  | 6143.021
Vietnam | 38617.097 | 40438.512 | 39117.345 |  | 35097.015
Oceania | 29.158 | 15.875 | 23.588 |  | 58.309
Africa | 14575.522 | 14683.935 | 14789.129 |  | 16207.404
Egypt | 8556.056 | 7932.711 | 8425.501 |  | 9500.639
Kenya | 1985.906 | 1793.546 | 2005.593 |  | 1879.939
[NAME] | 2245.999 | 2767.698 | 2814.501 |  | 2879.575
[NAME] | 703.699 | 829.035 | 561.484 |  | 461.341
World 2/ | 604190.911 | 642358.058 | 685573.985 |  | 658218.99
 |  |  |  |  |  |  |  | 95
1/ Raw-fiber equivalent.  2/ Totals may not add due to rounding.
Sources: USDA, Economic Research Service; and
U.S. Dept. of Commerce, U.S. Census Bureau.
Last update:  07/15/13.
Spreadsheet: 40281d1238587218-move-data-between-sheets-by-specifing-certain-criteria-order-2
Sheet: Code 1

Date: |  |  |  | Code: | 1 | Count:
Renfro Item | Description |  |  | SKU | Qty | Qty | Qty | Qty | Qty | Qty | Qty | Qty | Qty | Qty | Qty | Qty
Spreadsheet: 22dd5874-30db-41e1-95d5-300ba59e2f6b
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | SWIM | T1 | BIKE | T2 | RUN | POSITION | TOTAL TIME
8548 | 7988 | [NAME] | Silva | BRA | 19 | 00:13:54 | 00:01:45 | [NAME] | 00:00:41 | [NAME] | 1 | 01:07:00
8548 | 32641 | Joel | Rosinbum | USA | 17 | 00:13:21 | 00:01:53 | 00:30:38 | 00:00:30 | 00:21:32 | 2 | 01:07:56
8548 | 60945 | Rafael | [NAME] | USA | 16 | 00:19:11 | 00:03:24 | 00:39:44 | 00:02:26 | 00:35:01 | 3 | [NAME]
8548 | 47245 | [NAME] | [NAME] | BRA | 18 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | DQ | 00:00:00
Spreadsheet: 55912d1256063788-apply-data-validation-using-multiple-named-ranges-data_validation_example
Sheet: Example

 |  |  |  |  |  |  | Named lists:
 |  |  |  |  |  |  | A1 | A2 | A3 | A4 | A5
 | Part | Supplier |  |  |  |  | one | three | seven | one | one
 | A1 |  |  |  |  |  | two | four | zero | two | three
 | A2 |  |  |  |  |  | three | five |  |  | five
 | A3 |  |  |  |  |  | four
 | A4 |  |  |  |  |  | five
 | A5
Spreadsheet: 860347d1708487237-mail-merge-from-excel-to-excel-coraldatatest
Sheet: CORALDATA

TEE | NAME1 | NAME2 | NAME3 | NAME4 | IN1 | IN2 | IN3 | IN4 | HC1 | HC2 | HC3 | HC4
6A | Mike_Smith | John_Doe | Fred_Flint | Jerry_Lewis | MS | [NAME] | FF | JL | 4 | 10 | 22 | 24
Spreadsheet: 675447d1588292738-formula-that-would-shift-values-to-the-next-non-blank-row-sample
Sheet: Sheet1

a | 1 | 1
b | 1 | 1
c | 2 | 2
 | 2
 | 2
d | 3 | 2
e | 3 | 2
f | 4 | 3
 | 4
g | 4 | 3
 | 5
h | 5 | 4
i |  | 4
j |  | 4
k |  | 5
l |  | 5
Spreadsheet: 0dca4700-a95c-48e7-8853-96d62f7dc103
Sheet: Mid Day Meal

 | Mid Day Meal ( MDM)
 | Criteria of  Mid Day Meal ( Cooked)
 | Student from Class-I to Class- VIII in Government, Local Body and Govt. aided [NAME], SSKs, MSKs, Madrasa, NCLP run schools
 | Purpose of  Mid Day Meal ( Cooked)
 | A) Improving  the nurtrituional status of children in Class I to ClassVIII
 | B) Encouraging poor children belonging to disadvantages section to attend school more regularly and help them concentrate on classroom activities.
 | No. of  Educational Instituion where running Cooked MDM successfully
 | A) | High |  | 29
 | B) | Primary |  | 120
 | C) | Non Govt. Primary |  | 02
 | D) | Upper Primary |  | 26
 | E) | SSK |  | 22
 | F) | MSK |  | 01
 | Attachment of  School List
Spreadsheet: 779198d1651618087-formula-to-sum-number-based-on-multiple-dynamic-drop-down-criteria-sample-11
Sheet: Inputs

Period | Region |  | All_Regions | East | West |  | All_Buildings | All_East | All_West | Smith | [NAME] | Lewis | Henderson
January 2022 | ALL_Region |  | All_Mgrs | All_East | All_West |  | All_Buildings | All_East | All_West
February 2022 | East |  | Smith | Smith | Henderson |  | 112 - Building A | 112 - Building A | 116 - Building E | 112 - Building A | 114 - Building C | 116 - Building E | 118 - Building G
March 2022 | West |  | [NAME] | [NAME] | Lewis |  | 113 - Building B | 113 - Building B | 117 - Building F | 113 - Building B | 115 - Building D | 117 - Building F | 119 - Building H
April 2022 |  |  | Lewis |  |  |  | 114 - Building C | 114 - Building C | 118 - Building G
May 2022 |  |  | Henderson |  |  |  | 115 - Building D | 115 - Building D | 119 - Building H
June 2022 |  |  |  |  |  |  | 116 - Building E
July 2022 |  |  |  |  |  |  | 117 - Building F
August 2022 |  |  |  |  |  |  | 118 - Building G
September 2022 |  |  |  |  |  |  | 119 - Building H
October 2022
November 2022
December 2022
Spreadsheet: 65f8c35f-7cef-4338-a185-c950054aa9ea
Sheet: Charges

Monthly OATT Schedule 1 Regional Network Service (RNS) Settlement
TR_OATTSCH1RNS_<customer id>_<settlement date>_<version>.CSV
<[NAME]
Date: <mm/dd/yyyy> and Version: <mm/dd/yyyy hh:[NAME]:ss> GMT
Customer Details |  |  | Regional Network Load Information |  |  | Charge Details
Regional Network Load ID | [NAME] Number | [NAME] Name | Regional Network Load Name | Pool Monthly Regional Network Load Value | Monthly Regional Network Load Value | OATT Schedule 1 Rate | OATT Schedule 1 RNS Charge
Number | String | String | String | kW-Month | kW-Month | $/kW-Month | $
Spreadsheet: 203977d1357311975-data-entry-using-excel-2010-denkai-animal-subsidized-vet-clinic-pack-solution
Sheet: Vet Services

 |  |  |  |  |  |  |  |  | ID # | CUST0001
Subsidized Veterinary Services
Owner’s Name |  |  |  |  | Date
Address
City |  |  |  | State |  | Zip
E-mail |  |  |  |  | Phone
Name of Pet |  |  | Type
Color |  | Age |  | Sex |  | Weight
Service(s) Provided: |  |  | Notes (as needed): |  |  |  | Cost:
 |  |  |  |  |  | Total:
Offering a donation as a tribute to a family member, pet, or friend is a wonderful way to show your love while supporting [NAME]. Donations can also be offered as a way to honor an event or simply to show you care. We thank you advance and appreciate you!
I would like to donate $(                   ) in honor of
I,                                                          am the owner of the above noted animal.  I authorize and request that my animal be given vaccinations as indicated above.  I further understand that there may be adverse reactions to the vaccinations and hereby agree to take the animal to my veterinarian for treatment as necessary.  Furthermore, I will not hold Denkai Animal Sanctuary, its employees or veterinarian responsible for illness, injury or death as a result of these vaccinations or participation in this vaccination clinic.
 | Signature |  |  |  |  | Date