tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 138272d1327590680-pls-help-to-get-o-p-in-another-sheet-ef17_depot1
Sheet: DEC-D-NT

non trade
DO Date | Qty
2011-12-01 00:00:00 | 27
2011-12-02 00:00:00 | 609
2011-12-03 00:00:00 | 84
2011-12-06 00:00:00 | 459
2011-12-07 00:00:00 | 110
2011-12-08 00:00:00 | 441
2011-12-09 00:00:00 | 189.5
2011-12-10 00:00:00 | 723
2011-12-12 00:00:00 | 375
2011-12-13 00:00:00 | 638
2011-12-14 00:00:00 | 368
2011-12-15 00:00:00 | 200
2011-12-16 00:00:00 | 600
2011-12-17 00:00:00 | 572
2011-12-19 00:00:00 | 159
2011-12-20 00:00:00 | 444
2011-12-21 00:00:00 | 174
2011-12-22 00:00:00 | 474
2011-12-23 00:00:00 | 439
2011-12-24 00:00:00 | 671
2011-12-26 00:00:00 | 392
2011-12-27 00:00:00 | 547
2011-12-28 00:00:00 | 300
2011-12-29 00:00:00 | 700
2011-12-30 00:00:00 | 1834
2011-12-31 00:00:00 | 1650
Grand Total | 13790.5
Spreadsheet: 882136d1730389799-formula-producing-unexpected-duplicates-combined-sales-1-
Sheet: Combined

 |  |  |  |  |  |  |  |  |  |  | APAC
 |  |  |  |  |  |  |  | today date | today - 2 months | today + 3 months | geography
Potential Customer | Title
Spreadsheet: ac30f9ec-f27d-424f-a796-c8c650a64055
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | SWIM | T1 | BIKE | T2 | RUN | POSITION | TOTAL TIME
7050 | 43604 | [NAME] | [NAME] | GBR | 381 | 00:14:17 | 00:03:15 | 00:43:02 | 00:01:36 | [NAME] | 1 | 01:26:55
7050 | 21289 | Anne | Fish | GBR | 379 | 00:17:04 | [NAME] | 00:44:16 | [NAME] | 00:26:00 | 2 | 01:32:18
7050 | 11582 | Elaine | Scott | GBR | 380 | 00:16:13 | 00:03:53 | 00:41:02 | 00:02:01 | 00:29:12 | 3 | 01:32:22
7050 | 7256 | [NAME] | [NAME] | ESP | 377 | 00:17:02 | 00:03:15 | 00:48:24 | 00:01:37 | 00:24:09 | 4 | 01:34:29
7050 | 40968 | Sybil | Davison | GBR | 378 | 00:14:16 | 00:03:37 | [NAME] | 00:02:24 | 00:33:47 | 5 | 01:46:45
Spreadsheet: 88326d1288184304-unique-count-in-pivot-table-example
Sheet: OB Master

Order No | Status | Count Of orders
10104757 | refer 10104771 | 0 | 0 | refer 10104771:0
10104757 | [NAME] | 0 | 0 | [NAME]
10104757 | refer 10104771 | 0 | 0 | refer 10104771:0
10104757 | refer 10104771 | 1 | 0 | refer 10104771:1
10105039 | [NAME] | 0 | 0 | [NAME]
10105039 | Booked | 0 | 0 | Booked:0
10105039 | Booked | 1 | 0 | Booked:1
10105223 | [NAME] | 0 | 0 | [NAME]
10105223 | Booked | 0 | 0 | Booked:0
10105223 | Booked | 1 | 0 | Booked:1
10105251 | Booked | 0 | 0 | Booked:0
10105251 | Booked | 0 | 0 | Booked:0
10105251 | Booked | 0 | 0 | Booked:0
10105251 | Booked | 0 | 0 | Booked:0
10105251 | [NAME] | 0 | 0 | [NAME]
10105251 | Booked | 1 | 0 | Booked:1
10105264 | Booked | 0 | 0 | Booked:0
10105264 | [NAME] | 0 | 0 | [NAME]
10105264 | Booked | 0 | 0 | Booked:0
10105264 | Booked | 1 | 0 | Booked:1
10105274 | Booked | 0 | 0 | Booked:0
10105274 | [NAME] | 0 | 0 | [NAME]
10105274 | Booked | 1 | 0 | Booked:1
10105286 | Booked | 0 | 0 | Booked:0
10105286 | Booked | 0 | 0 | Booked:0
10105286 | [NAME] | 1 | 0 | [NAME]
10105280 | Booked | 0 | 0 | Booked:0
10105280 | Booked | 0 | 0 | Booked:0
10105280 | Booked | 0 | 0 | Booked:0
10105280 | [NAME] | 0 | 0 | [NAME]
10105280 | Booked | 1 | 0 | Booked:1
10105318 | Booked | 0 | 0 | Booked:0
10105318 | Booked | 0 | 0 | Booked:0
10105318 | [NAME] | 0 | 0 | [NAME]
10105318 | Booked | 1 | 0 | Booked:1
10105319 | Booked | 0 | 0 | Booked:0
10105319 | [NAME] | 0 | 0 | [NAME]
10105319 | Booked | 0 | 0 | Booked:0
10105319 | Booked | 0 | 0 | Booked:0
10105319 | Booked | 0 | 0 | Booked:0
10105319 | Booked | 0 | 0 | Booked:0
10105319 | Booked | 0 | 0 | Booked:0
10105319 | Booked | 0 | 0 | Booked:0
10105319 | Booked | 1 | 0 | Booked:1
10105320 | Booked | 0 | 0 | Booked:0
10105320 | Booked | 0 | 0 | Booked:0
10105320 | Booked | 0 | 0 | Booked:0
10105320 | [NAME] | 0 | 0 | [NAME]
10105320 | Booked | 0 | 0 | Booked:0
10105320 | Booked | 1 | 0 | Booked:1
10105323 | Booked | 0 | 0 | Booked:0
10105323 | [NAME] | 0 | 0 | [NAME]
10105323 | Booked | 0 | 0 | Booked:0
10105323 | Booked | 0 | 0 | Booked:0
10105323 | Booked | 0 | 0 | Booked:0
10105323 | Booked | 1 | 0 | Booked:1
10105321 | Booked | 0 | 0 | Booked:0
10105321 | [NAME] | 0 | 0 | [NAME]
10105321 | Booked | 1 | 0 | Booked:1
10105324 | Booked | 0 | 0 | Booked:0
10105324 | Booked | 0 | 0 | Booked:0
10105324 | Booked | 0 | 0 | Booked:0
10105324 | [NAME] | 0 | 0 | [NAME]
10105324 | Booked | 0 | 0 | Booked:0
10105324 | Booked | 1 | 0 | Booked:1
10105325 | Booked | 0 | 0 | Booked:0
10105325 | Booked | 0 | 0 | Booked:0
10105325 | Booked | 0 | 0 | Booked:0
10105325 | [NAME] | 0 | 0 | [NAME]
10105325 | Booked | 0 | 0 | Booked:0
10105325 | Booked | 1 | 0 | Booked:1
10105333 | Booked | 0 | 0 | Booked:0
10105333 | Booked | 0 | 0 | Booked:0
10105333 | [NAME] | 1 | 0 | [NAME]
10105334 | Order Can by cust | 0 | 0 | Order Can by cust:0
10105334 | Order Can by cust | 0 | 0 | Order Can by cust:0
10105334 | [NAME] | 0 | 0 | [NAME]
10105334 | Order Can by cust | 1 | 0 | Order Can by cust:1
Spreadsheet: 761917d1641300072-sumifs-with-1-criteria-variable-and-possible-multi-criteria-book1
Sheet: Data

Product | Region | M1
AAA | EMEA | 92
BBB | LAC | 3
CCC | US | 72
AAA | APAC | 88
DDD | US | 20
CCC | US | 74
BBB | LAC | 72
EEE | APAC | 71
AAA | US | 12
AAA | LAC | 21
BBB | EMEA | 6
CCC | EMEA | 71
EEE | EMEA | 73
CCC | XYZ | 65
BBB | US | 57
AAA | XYZ | 69
DDD | APAC | 28
CCC | XYZ | 84
EEE | XYZ | 4
Spreadsheet: 862718d1710358894-formulas-to-distribute-work-load-evenly-among-3-teams-equitable-case-distribution
Sheet: Sheet1

Region/Team | # of Active Employees | No. of Cases to be Assigned | Cases to be assigned per agent (Total / # of Employees) | Transfer | Receive
Reg 1 & 2 | 7 | 70
Reg 3 & 4 | 5 | 56
Reg 5 & 6 | 5 | 13
 | Cases to be Assigned Per Agent:
Spreadsheet: 779285d1651680019-excel-logical-numeric-evaluation-example
Sheet: Sheet1

 | Person 1 | Person 2 | Person 3 | Person 4
Task 1 | 1 | 1 | 3 | 1
Task 2 | 1 | 1 | 3 | 1
Task 3 | 1 | 1 | 3 | 1
Task 4 | 1 | 1 | 3 | 1
Task 5 | 1 | 1 | 3 | 1
Emp Status |  | 1
Shift Status
Spreadsheet: 772947d1647529503-get-the-list-of-number-of-combinations-of-blocks-to-be-loaded-on-a-truck-book1-poposki-
Sheet: Sheet1

Serial Number | Length | [NAME] | Height | Volume m³ | [NAME] | Load # | 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 | 32 | 33 | 34 | 35
 | Get the list of number of combinations of blocks to be loaded on a truck (excelforum.com)
B2220001 | 1.75 | 0.85 | 1.2 | 1.785 | 5.05
B3220001 | 1.8 | 0.9 | 1.3 | 2.106 | 5.97
B4220004 | 1.7 | 1 | 1.3 | 2.21 | 6.34
B5220002 | 2.05 | 1 | 1.1 | 2.255 | 6.36
B4220006 | 1.9 | 0.8 | 1.8 | 2.736 | 7.65
B5220003 | 1.75 | 1.45 | 1.1 | 2.791 | 7.9
B1220017 | 2.25 | 0.85 | 1.45 | 2.773 | 8.03
B1220012 | 1.7 | 1.35 | 1.25 | 2.869 | 8.17
B1220005 | 2.4 | 1.25 | 0.95 | 2.85 | 8.28
B7220004 | 2.05 | 1.15 | 1.3 | 3.065 | 8.71
B5220001 | 2.45 | 0.85 | 1.5 | 3.124 | 8.81
B1220006 | 2.2 | 1.3 | 1.15 | 3.289 | 9.35
B7220003 | 2.2 | 1.1 | 1.35 | 3.267 | 9.52
B7220001 | 2.05 | 1.35 | 1.35 | 3.736 | 10.66
[NAME] | 2.3 | 1.1 | 1.5 | 3.795 | 10.86
B5220009 | 2.1 | 1.2 | 1.55 | 3.906 | 11.14
B5220006 | 2.1 | 1.35 | 1.5 | 4.253 | 11.96
B4220003 | 2.75 | 1.15 | 1.35 | 4.269 | 12.17
B2220002 | 2.1 | 1.25 | 1.7 | 4.462 | 12.8
B5220007 | 2.75 | 0.9 | 1.85 | 4.579 | 12.89
B5220004 | 2.5 | 1.9 | 0.95 | 4.512 | 12.95
B1220015 | 2.05 | 1.3 | 1.7 | 4.53 | 13.04
B2220003 | 3.2 | 1.25 | 1.2 | 4.8 | 13.55
[NAME] | 2.45 | 1.5 | 1.3 | 4.778 | 13.56
B5220008 | 2.7 | 0.95 | 1.85 | 4.745 | 13.86
B5220005 | 2 | 1.9 | 1.3 | 4.94 | 13.93
B3220002 | 2.2 | 1.5 | 1.5 | 4.95 | 14.15
B7220002 | 2.5 | 1.1 | 1.8 | 4.95 | 14.25
B1220009 | 3.05 | 1.05 | 1.75 | 5.604 | 16.13
B1220007 | 3 | 1.1 | 1.7 | 5.61 | 16.23
B1220010 | 2.9 | 1.75 | 1.2 | 6.09 | 17.47
B1220001 | 3 | 1.1 | 1.9 | 6.27 | 17.48
B4220005 | 2.15 | 1.9 | 1.55 | 6.332 | 17.99
B1220008 | 3 | 1.2 | 1.8 | 6.48 | 18.23
B4220002 | 2.8 | 1.35 | 1.8 | 6.804 | 19.48
B1220004 | 3 | 1.3 | 1.8 | 7.02 | 19.81
B5220011 | 2.9 | 1.6 | 1.55 | 7.192 | 20.61
B2220004 | 2.6 | 1.8 | 1.55 | 7.254 | 20.87
B1220011 | 2.1 | 1.8 | 2 | 7.56 | 21.63
B1220014 | 2.9 | 1.45 | 1.8 | 7.569 | 21.68
B1220013 | 2.95 | 1.6 | 1.65 | 7.788 | 21.88
B4220001 | 3.25 | 1.5 | 1.6 | 7.8 | 21.89
B5220012 | 2.85 | 1.5 | 1.8 | 7.695 | 21.98
B1220002 | 2.95 | 1.55 | 1.8 | 8.23 | 23.21
[NAME] | 2.9 | 1.55 | 1.8 | 8.091 | 23.24
B1220016 | 3 | 1.5 | 1.85 | 8.325 | 23.7
B4220007 | 3.15 | 1.8 | 1.55 | 8.788 | 25.09
B1220003 | 3.1 | 1.7 | 1.7 | 8.959 | 25.49
Spreadsheet: 01d93c69-5e6c-4dbc-becd-f9d3219ac6f9
Sheet: t-test

OBS | ACRES | AGE | EDUC | COUNTY |  | t-Test: Two-Sample Assuming Equal Variances |  |  |  | t-Test: Two-Sample Assuming Equal Variances
1 | 190 | 50 | 14 | [NAME]
5 | 340 | 39 | 12 | [NAME] |  |  | Variable 1 | Variable 2 |  |  | Variable 1 | Variable 2
7 | 210 | 51 | 14 | [NAME] |  | Mean | 241.3636363636364 | 203.7857142857143 |  | Mean | 48.18181818181818 | 46.78571428571428
9 | 55 | 67 | 8 | [NAME] |  | [NAME] | 32485.45454545454 | 28210.64285714286 |  | [NAME] | 172.9636363636364 | 205.1043956043955
12 | 0 | 68 | 8 | [NAME] |  | Observations | 11 | 14 |  | Observations | 11 | 14
14 | 80 | 59 | 12 | [NAME] |  | [NAME] | 30069.25663466968 |  |  | [NAME] | 191.1301524562394
15 | 600 | 30 | 18 | [NAME] |  | Hypothesized Mean Difference | 0 |  |  | Hypothesized Mean Difference | 0
19 | 480 | 31 | 16 | [NAME] |  | df | 23 |  |  | df | 23
20 | 180 | 52 | 12 | [NAME] |  | t Stat | 0.5378507415769915 |  |  | t Stat | 0.2506360237778743
24 | 225 | 46 | 12 | [NAME] |  | P(T<=t) one-tail | 0.2979233734569945 |  |  | P(T<=t) one-tail | 0.4021604756757487
25 | 295 | 37 | 16 | [NAME] |  | t Critical one-tail | 1.71387151707496 |  |  | t Critical one-tail | 1.71387151707496
2 | 135 | 59 | 14 | Haynes |  | P(T<=t) two-tail | 0.595846746913989 |  |  | P(T<=t) two-tail | 0.8043209513514974
3 | 275 | 39 | 16 | Haynes |  | t Critical two-tail | 2.068657598610539 |  |  | t Critical two-tail | 2.068657598610539
4 | 185 | 49 | 14 | Haynes
6 | 575 | 32 | 16 | Haynes
8 | 95 | 55 | 8 | Haynes |  | t-Test: Two-Sample Assuming Unequal Variances |  |  |  | t-Test: Two-Sample Assuming Equal Variances
10 | 210 | 28 | 12 | Haynes
11 | 280 | 35 | 14 | Haynes |  |  | Variable 1 | Variable 2 |  |  | Variable 1 | Variable 2
13 | 120 | 55 | 12 | Haynes |  | Mean | 241.3636363636364 | 203.7857142857143 |  | Mean | 12.90909090909091 | 12.71428571428571
16 | 415 | 29 | 18 | Haynes |  | [NAME] | 32485.45454545454 | 28210.64285714286 |  | [NAME] | 9.8909090909091 | 12.06593406593405
17 | 0 | 62 | 8 | Haynes |  | Observations | 11 | 14 |  | Observations | 11 | 14
18 | 395 | 27 | 16 | Haynes |  | Hypothesized Mean Difference | 0 |  |  | [NAME] | 11.12027103331451
21 | 60 | 63 | 6 | Haynes |  | df | 21 |  |  | Hypothesized Mean Difference | 0
22 | 0 | 61 | 12 | Haynes |  | t Stat | 0.5331264232483108 |  |  | df | 23
23 | 108 | 61 | 12 | Haynes |  | P(T<=t) one-tail | 0.2997717032947298 |  |  | t Stat | 0.1449883821331555
 |  |  |  |  |  | t Critical one-tail | 1.720742871485346 |  |  | P(T<=t) one-tail | 0.4429915593204623
 |  |  |  |  |  | P(T<=t) two-tail | 0.5995434065894596 |  |  | t Critical one-tail | 1.71387151707496
 |  |  |  |  |  | t Critical two-tail | 2.079613837082722 |  |  | P(T<=t) two-tail | 0.8859831186409246
 |  |  |  |  |  |  |  |  |  | t Critical two-tail | 2.068657598610539
Spreadsheet: 769828d1645704869-sumproduct-with-4-criteria-between-two-dates-excel-help-between-2-dates-3-criteria
Sheet: Sheet1

 |  |  |  |  |  |  |  |  | Criteria 1 | Date | 2022-01-01 00:00:00
 |  | Superhero | Team | Date | Rescue Mission | Duration (seconds) |  |  | [NAME] | Date | 2022-01-07 00:00:00
 |  | Batman | DC | 2022-01-01 00:00:00 | Burning Building | 5 |  |  | Criteria 3 | Activity | Burning Building
 |  | Spiderman | Marvel | 2022-01-02 00:00:00 | Cat in a tree | 3 |  |  | [NAME] | Activity | School bus
 |  | Wonderwoman | DC | 2022-01-03 00:00:00 | Burning Building | 5 |  |  |  | Duration
 |  | The Hulk | Marvel | 2022-01-04 00:00:00 | School bus | 20
 |  | Captain Marvel | Marvel | 2022-01-05 00:00:00 | Burning Building | 5 |  |  | Result |  | 60 | seconds
 |  | Supergirl | DC | 2022-01-06 00:00:00 | Burning Building | 5
 |  | Thor | Marvel | 2022-01-07 00:00:00 | School bus | 20
 |  | Captain America | Marvel | 2022-01-08 00:00:00 | Cat in a tree | 3
 |  | [NAME] | Marvel | 2022-01-09 00:00:00 | School bus | 20
 |  | Superman | DC | 2022-01-10 00:00:00 | Cat in a tree | 3
Spreadsheet: 743711d1628682402-create-a-regular-vertical-database-database-ans
Sheet: Sheet7

 | Data |  |  |  |  | Expected Result |  |  |  |  |  |  | Expected Result
Name | Blue | Green |  | Name | Quntity | Amount | Color |  |  |  | Name | Quntity | Amount | Color
A | 11 | 12 |  |  |  |  |  |  |  |  | A | 11 | 101 | blue
A | 101 | 102 |  |  |  |  |  |  |  |  | A | 12 | 102 | green
B | 13 | 14 |  |  |  |  |  |  |  |  | B | 13 | 103 | blue
B | 103 | 104 |  |  |  |  |  |  |  |  | B | 14 | 104 | green
C | 15 | 16 |  |  |  |  |  |  |  |  | C | 15 | 105 | blue
C | 105 | 106 |  |  |  |  |  |  |  |  | C | 16 | 106 | green
Spreadsheet: 263084d1378376267-horizontal-list-of-data-glens73
Sheet: Sheet1

Product | Apr | May | Jun | Jul |  | Revenue | Month
A | 0 | 0 | 10 | 0
B | 5 | 0 | 0 | 0
C | 0 | 0 | 0 | 5
Spreadsheet: 888901d1739527067-generate-all-possible-combinations-of-8-football-games-1x2-and-add-some-requirements-8-football-matches-combinations
Sheet: Sheet1

 | MATCH | HOME | DRAW | AWAY |  | MATCH | HOMEp | DRAWp | AWAYp
 | 1 | 1 | X | 2 |  | 1 | 0.6 | 0.3 | 0.1
 | 2 | 1 | X | 2 |  | 2 | 0.4 | 0.4 | 0.2
 | 3 | 1 | X | 2 |  | 3 | 0.1 | 0.5 | 0.4
 | 4 | 1 | X | 2 |  | 4 | 0.8 | 0.1 | 0.1
 | 5 | 1 | X | 2 |  | 5 | 0.7 | 0.1 | 0.2
 | 6 | 1 | X | 2 |  | 6 | 0.6 | 0.2 | 0.2
 | 7 | 1 | X | 2 |  | 7 | 0.2 | 0.4 | 0.4
 | 8 | 1 | X | 2 |  | 8 | 0.6 | 0.3 | 0.1
 | WANT RESULTS LIKE THIS: |  |  |  |  | AND CORRESPONDING PROBABILITIES LIKE THIS:
 | 1,1,1,1,1,1,1,1
 | 1,1,1,1,1,1,1,X
 | . |  |  |  |  | .
 | . |  |  |  |  | .
 | . |  |  |  |  | .
 | 2,2,2,2,2,2,2,X
 | 2,2,2,2,2,2,2,2
Spreadsheet: 471631d1469117269-copying-a-single-column-in-multiple-excel-files-into-one-excel-file-french-workbook
Sheet: Sheet1

Name_FR
Grands Patchs « Never too late »
Pack de 3 petits porte-clés
Grands Patchs « I love weekend »
Sac cartable tressé BSK
Tote bag saffiano
Bandana « Washed »
Pack de chaussettes revers transparent rose et noir
Pack 5 paires de chaussettes couleurs
Sac bowling perforé BSK
Bonnet patchs brodés
Ceinture détails perles et surpiqûre BSK
Pack 2 paires de chaussettes corail et gris
Coque transparente flammes multicolores iPhone 6/6s
Coque palmiers rose gold iPhone 5/5s
Coque palmiers rose gold iPhone 6/6s
Sac à dos « Minimal »
Porte-cartes
Sac sport
Bonnet éponge réversible
Portefeuille porte-clés chaîne
Pack 2 chaînes
Portefeuille porte-clés
Pack de 2 bracelet cordon et chaîne
Porte-monnaie gravé
[NAME] triangle
Montre maxi métal
Montre bracelet effet bois
Spreadsheet: dfbd15d8-cb20-4b5f-9fd4-f8071de5a7c8
Sheet: Sheet1

Table 10--Global rice exporters, calendar years; monthly revisions, and annual changes | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11 | Unnamed: 12 | Unnamed: 13
 | 2012 |  |  |  | 2013 1/ |  |  |  |  |  | 2014 1/
 | February |  | January | February |  | Monthly | Annual |  | January | February |  | Monthly | Annual
 | 2014 |  | 2014 | 2014 |  | revisions | changes |  | 2014 | 2014 |  | revisions | changes
 |  |  |  |  |  |  | 1,000 metric tons (milled basis)
Argentina | 608 |  | 550 | 550 |  | 0 | -58 |  | 550 | 620 |  | 70 | 70
Australia | 449 |  | 500 | 500 |  | 0 | 51 |  | 520 | 520 |  | 0 | 20
Brazil | 1105 |  | 750 | 830 |  | 80 | -275 |  | 850 | 850 |  | 0 | 20
Burma | 690 |  | 750 | 750 |  | 0 | 60 |  | 750 | 750 |  | 0 | 0
Cambodia | 800 |  | 975 | 975 |  | 0 | 175 |  | 1000 | 1000 |  | 0 | 25
China | 267 |  | 425 | 447 |  | 22 | 180 |  | 350 | 350 |  | 0 | -97
Ecuador | 63 |  | 50 | 50 |  | 0 | -13 |  | 75 | 75 |  | 0 | 25
Egypt | 600 |  | 850 | 850 |  | 0 | 250 |  | 850 | 850 |  | 0 | 0
European Union | 194 |  | 200 | 200 |  | 0 | 6 |  | 200 | 200 |  | 0 | 0
Guinea | 80 |  | 80 | 80 |  | 0 | 0 |  | 80 | 80 |  | 0 | 0
Guyana | 285 |  | 345 | 345 |  | 0 | 60 |  | 345 | 345 |  | 0 | 0
India | 10250 |  | 10500 | 10500 |  | 0 | 250 |  | 10000 | 10000 |  | 0 | -500
Japan | 200 |  | 200 | 200 |  | 0 | 0 |  | 200 | 200 |  | 0 | 0
Korea, South | 2 |  | 2 | 2 |  | 0 | 0 |  | 2 | 2 |  | 0 | 0
Pakistan | 3399 |  | 3300 | 3500 |  | 200 | 101 |  | 3400 | 3400 |  | 0 | -100
Paraguay | 262 |  | 275 | 275 |  | 0 | 13 |  | 250 | 250 |  | 0 | -25
Peru | 50 |  | 50 | 50 |  | 0 | 0 |  | 60 | 60 |  | 0 | 10
Russia | 314 |  | 120 | 140 |  | 20 | -174 |  | 100 | 140 |  | 40 | 0
Thailand | 6945 |  | 6700 | 6700 |  | 0 | -245 |  | 8500 | 8500 |  | 0 | 1800
Turkey | 99 |  | 10 | 10 |  | 0 | -89 |  | 10 | 60 |  | 50 | 50
Uganda | 40 |  | 40 | 40 |  | 0 | 0 |  | 40 | 40 |  | 0 | 0
United States | 3305 |  | 3200 | 3271 |  | 71 | -34 |  | 3350 | 3350 |  | 0 | 79
Uruguay | 1056 |  | 900 | 900 |  | 0 | -156 |  | 900 | 900 |  | 0 | 0
[NAME] | 125 |  | 100 | 100 |  | 0 | -25 |  | 75 | 100 |  | 25 | 0
Vietnam | 7717 |  | 7200 | 6800 |  | -400 | -917 |  | 7500 | 7500 |  | 0 | 700
Subtotal | 38957 |  | 38072 | 38065 |  | -7 | -892 |  | 39957 | 40142 |  | 185 | 2077
Other | 259 |  | 240 | 250 |  | 10 | -10 |  | 270 | 270 |  | 0 | 20
World total | 39161 |  | 38312 | 38315 |  | 3 | -846 |  | 40227 | 40412 |  | 185 | 2097
U.S. Share | 0.084 |  | 0.08352474420547087 | 0.08537126451781286 |  | -- | -- |  | 0.08327740075073956 | 0.08289616945461745 |  | -0.0003812312961221087 | --
-- Not available.  Note: All trade data are reported on a calendar-year basis.
1/ Projected.
Source: Production, Supply, & Distribution Online Data Base, FAS/USDA, http://www.fas.usda.gov/psdonline/psdHome.aspx.
Last updated February 10, 2014.
Spreadsheet: 547574d1510628129-timesheet-help-please-timesheet-estevaoba
Sheet: Aux1

 | Week Commencing |  | 2017-11-11 00:00:00
Spreadsheet: 676735d1588950307-formula-to-give-value-based-on-2-separate-dates-medical-benefits-calculator
Sheet: Sheet1

 | Employee | Hire Date | 2018-11-01 00:00:00
 |  |  | Hired Prior to 11/1/2018 |  |  | Hired on or After 11/1/2018
 |  |  | 90 Days to 1 Year | 1 Year to 2 Years | After 2 Years | 60 Days to 2 Years | After 2 Years | Payroll Dates
 |  |  | Eligible Date 50% | Eligible Date 75% | Eligible Date 100% | Eligible Date 50% | Eligible Date 75% | 2020-04-02 00:00:00 | 2020-04-09 00:00:00 | 2020-04-16 00:00:00 | 2020-04-23 00:00:00 | 2020-04-30 00:00:00
 |  |  | 0.5 | 0.75 | 1 | 0.5 | 0.75
 | Person 1 | 2018-04-12 00:00:00
 | Person 2 | 2019-04-10 00:00:00
 | Person 3 | 2018-12-13 00:00:00
 | Person 4 | 2020-02-15 00:00:00
 | Explanation for Person 1 | 2018-04-12 00:00:00 | Dates are Here Because He Was Hired Before 11/1/2018 So He is Grandfathered in Original Benefits |  |  |  |  | Value Given is ".75" 4/12/2019 is the next Date Below Payroll Date of 4/2/2020 | Value Given is ".75" 4/12/2019 is the next Date Below Payroll Date of 4/9/2020 | Value Given is "1.00" 4/11/2020 is the next Date Below Payroll Date of 4/16/2020 | Value Given is "1.00" 4/11/2020 is the next Date Below Payroll Date of 4/23/2020 | Value Given is "1.00" 4/11/2020 is the next Date Below Payroll Date of 4/30/2020
 | Explanation for Person 4 | 2020-02-15 00:00:00 |  |  |  | Dates are Here Because He Was Hired After 11/1/2018 So He is NOT Grandfathered in Original Benefits |  | Value Given is "0.00" Because No Dates Below 4/2/2020 | Value Given is "0.00" Because No Dates Below 4/2/2020 | Value Given is ".50" 4/15/2020 is the next Date Below Payroll Date of 4/16/2020 | Value Given is ".50" 4/15/2020 is the next Date Below Payroll Date of 4/23/2020 | Value Given is ".50" 4/15/2020 is the next Date Below Payroll Date of 4/23/2020
Spreadsheet: 764378d1642703342-countifs-with-than-symbol-on-dates-ehpraracker
Sheet: Tracker

 | Status |  |  |  | To review | In progress | Moved to QP | Closed | Total
 | To review |  |  | <19/01/2022
 | In Progress |  |  | 2022-01-19 00:00:00
 | Transferred to QP |  |  | 2022-01-20 00:00:00
 | Closed |  |  | 2022-01-21 00:00:00
 | TOTAL tickets |  |  | 2022-01-24 00:00:00
 |  |  |  | 2022-01-25 00:00:00
 |  |  |  | 2022-01-26 00:00:00
 |  |  |  | 2022-01-27 00:00:00
 |  |  |  | 2022-01-28 00:00:00
 |  |  |  | 2022-01-31 00:00:00
Spreadsheet: 8445fb79-da27-42a7-8aea-7f071576031f
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
43206656 | 2014-09-18 05:38:43 | AXIS | 0 | 5 | 7 | 465599 | Timor | 7668 | pacific | 1945-02-26 | 1945-03-06 | The Meat Grinder | Le Hachoir à viande
43206901 | 2014-09-18 05:55:02 | ALLIES | 0 | 3 | 7 | 465599 | Timor | 7668 | pacific | 1945-02-26 | 1945-03-06 | The Meat Grinder | Le Hachoir à viande
43207078 | 2014-09-18 06:15:56 | AXIS | 0 | 4 | 7 | 465599 | Timor | 7668 | pacific | 1945-02-26 | 1945-03-06 | The Meat Grinder | Le Hachoir à viande
43207381 | 2014-09-18 07:04:37 | AXIS | 0 | 5 | 7 | 49514 | rodreep | 7668 | pacific | 1945-02-26 | 1945-03-06 | The Meat Grinder | Le Hachoir à viande
43207679 | 2014-09-18 07:38:30 | AXIS | 1 | 7 | 4 | 49514 | rodreep | 7668 | pacific | 1945-02-26 | 1945-03-06 | The Meat Grinder | Le Hachoir à viande
43219220 | 2014-09-19 04:59:33 | AXIS | 1 | 7 | 6 | 181733 | deepnet | 7668 | pacific | 1945-02-26 | 1945-03-06 | The Meat Grinder | Le Hachoir à viande
43219436 | 2014-09-19 05:26:45 | ALLIES | 0 | 6 | 7 | 181733 | deepnet | 7668 | pacific | 1945-02-26 | 1945-03-06 | The Meat Grinder | Le Hachoir à viande
Spreadsheet: 86207d1286234809-how-to-lookup-multiple-rows-of-data-by-value-group-data
Sheet: Group C

Group | Data 1 | Data 2 | Data 3 | Data 4 | Data 5
C | 71 | 72 | 73 | 74 | 75
C | 76 | 77 | 78 | 79 | 80
C | 81 | 82 | 83 | 84 | 85
C | 86 | 87 | 88 | 89 | 90
C | 91 | 92 | 93 | 94 | 95
C | 96 | 97 | 98 | 99 | 100
C | 101 | 102 | 103 | 104 | 105
Spreadsheet: 877105d1723787774-popultate-cells-based-on-cell-value-of-a-different-sheet-del-sched-to-po-help
Sheet: del sched

CODE | [NAME] | STD QTY | 6 MONTH SUPPLY | STOCK ON HAND | Last Price | AMG STOCK ORDERED | NET DIFFERENCE |  |  |  |  | SO Total | AMG | TOTAL ORDER | Line 0
SSB015GP |  |  | 0 | 0
SSB020GP |  |  | 0 | 0
SSB032GP |  |  | 0 | 0
SSB047GP |  |  | 0 | 0 |  |  |  |  |  |  |  |  |  | 25
SSB065GP |  |  | 0 | 0 |  |  |  |  |  |  |  |  |  | 16
SSB085GP |  |  | 0 | 0
SSB095GP |  |  | 0 | 0 |  |  |  |  |  |  |  |  |  | 18
SSB120GP |  |  | 0 | 0
SSB135GP |  |  | 0 | 0 |  |  |  |  |  |  |  |  |  | 29
SSB170GP |  |  | 0 | 0
SSSB010GP |  |  | 0 | 0
SSSB015GP |  |  | 0 | 0 |  |  |  |  |  |  |  |  |  | 30
SSSB020GP |  |  | 0 | 0 |  |  |  |  |  |  |  |  |  | 62
SSSB032GP |  |  | 0 | 0 |  |  |  |  |  |  |  |  |  | 19
SSSB047GP |  |  | 0 | 0
SSSB065GP |  |  | 0 | 0
SSSB085GP |  |  | 0 | 0
SSSB095GP |  |  | 0 | 0 |  |  |  |  |  |  |  |  |  | 2
SSSB120GP |  |  | 0 | 0 |  |  |  |  |  |  |  |  |  | 5
SSSB135GP |  |  | 0 | 0 |  |  |  |  |  |  |  |  |  | 8
SSSB170GP |  |  | 0 | 0
SSSB250GP |  |  | 0 | 0
SSSB350GP |  |  | 0 | 0 |  |  |  |  |  |  |  |  |  | 5
SSSB550GP |  |  | 0 | 0
SSSB850GP |  |  | 0 | 0
SSSBMGP-4.75T |  |  | 0 | 0 |  |  |  |  |  |  |  |  |  | 1
SSSBMGP-6.5T |  |  | 0 | 0
SSSBMGP-8.5T |  |  | 0 | 0 |  |  |  |  |  |  |  |  |  | 99
SSSBMGP-9.5T |  |  | 0 | 0
SSSBMGP-12T |  |  | 0 | 0 |  |  |  |  |  |  |  |  |  | 120
SSSBMGP-25T |  |  | 0 | 0
SSSBMGP-55T |  |  | 0 | 0 |  |  |  |  |  |  |  |  |  | 2
SSSBMGP-75T |  |  | 0 | 0 |  |  |  |  |  |  |  |  |  | 6
SSSB012GP6033 |  |  | 0 | 0
SSSB018GP6033 |  |  | 0 | 0 |  |  |  |  |  |  |  |  |  | 17
SSSB030GP6033 |  |  | 0 | 0 |  |  |  |  |  |  |  |  |  | 8
SSSB040GP6033 |  |  | 0 | 0