tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 80042d1280269570-converting-monthly-data-into-quarterly-example-dataset-from-months-to-quarters-rev
Sheet: Sheet1

 | Oct-94 | Nov-94 | Dec-94 | [NAME] | Feb-95 | Mar-95 | Apr-95 | May-95 | Jun-95 | Jul-95 | Aug-95 | Sep-95 | Oct-95 | Nov-95 | Dec-95 |  | Q4 1994 | Q1 1995 | Q2 1995 | Q3 1995 | Q4 1995
Serie A | 27000000 | 26900000 | 26900000 | 27100000 | 30700000 | 31000000 | 31400000 | 31800000 | 32500000 | 33100000 | 33600000 | 33500000 | 38000000 | 34700000 | 35200000
Serie B | 19874704.98920199 | 19561380.26504721 |  | 19321562.08687609 | 19437955.17688743 | 0 | 18905968.48216777 |  | 21232920.13528947 | 21471641.85637053 | 20953960.57121344
Serie C |  | 136735882 |  | 146118302 | 143822980 | 131081601 | 123143968 |  |  | 93020486 | 85945233 | 0 | 74627626 | 69110219 | 0
 | Ideally, the data would be as in Row 2: uninterrupted so for every Quarter simply return the latest month of that Quarter (see columns R to V). Note: I do not want to average data for a Quarter, simply the last month of a Quarter.
 | If the cell for a Quarter's last month does not contain any data or a value of '0' (see rows 3 and 4 - Series B and C) the range of Quarters (columns R to V) should either return the preceding month or the month before that.
 | So for example, Cell R3 should normally return the value of [NAME] but since there's no data it now has to return the value in cell [NAME]. Simultaenously, the value in cell [NAME] (i.e. Q2 1995) should normally return the value of
 | cell [NAME] (i.e. June 95) but since there's no data there, it moves one month earlier (May 95) which has no data either and thus it returns Cell H5 (April 95).
 | If a complete Quarter does not contain data or only '0's it should return 0 for that quarter, for example [NAME] from Serie B (Row 3).
Spreadsheet: 840747d1692958257-formula-needed-for-different-price-when-brought-at-different-qty-apples
Sheet: Sheet1

No of apple | Price | Average Price |  | No of apple | Price | Average Price | Distribution | Price
1 | 6 |  |  |  | 55 | 4.583333333333333
3 | 17 |  |  | 5 | 25 | 5 |  |  |  |  | No of Apples | 87
5 | 25 |  |  | 3 | 17 | 5.666666666666667 |  |  |  |  | Price
12 | 55 |  |  | 1 | 6 | 6
 |  |  |  | 0 | 0 | 0
 |  |  |  | 0 | 0 | 0
 |  |  |  | 0 | 0 | 0
 |  |  |  | 0 | 0 | 0
 |  |  |  | 0 | 0 | 0
 |  |  |  | 0 | 0 | 0
 |  |  |  | 0 | 0 | 0
 |  |  |  | 0 | 0 | 0
 |  |  |  | 0 | 0 | 0
 |  |  |  | 0 | 0 | 0
 |  |  |  | 0 | 0 | 0
 |  |  |  | 0 | 0 | 0
 |  |  |  | 0 | 0 | 0
 |  |  |  | 0 | 0 | 0
 |  |  |  | 0 | 0 | 0
 |  |  |  | 0 | 0 | 0
 |  |  |  | 0 | 0 | 0
 |  |  |  | 0 | 0 | 0
 |  |  |  | 0 | 0 | 0
 |  |  |  | 0 | 0 | 0
 |  |  |  | 0 | 0 | 0
 |  |  |  | 0 | 0 | 0
 |  |  |  | 0 | 0 | 0
 |  |  |  | 0 | 0 | 0
 |  |  |  | 0 | 0 | 0
 |  |  |  | 0 | 0 | 0
Spreadsheet: 814602d1674504882-fix-conditional-format-and-formula-clean-up-rates-help2fix2
Sheet: 2023

2023 | A | B | C | D | E | F | G | H | I | J | K | L
12 | 24 | 24 | 24 | 24 | 24 | 24 | 24 | 24 | 24 | 24 | 24 | 24
11 | 23 | 23 | 23 | 23 | 23 | 23 | 23 | 23 | 23 | 23 | 23 | 23
10 | 22 | 22 | 22 | 22 | 22 | 22 | 22 | 22 | 22 | 22 | 22 | 22
9 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21
8 | 20 | 20 | 20 | 20 | 20 | 20 | 20 | 20 | 20 | 20 | 20 | 20
7 | 19 | 19 | 19 | 19 | 19 | 19 | 19 | 19 | 19 | 19 | 19 | 19
6 | 18 | 18 | 18 | 18 | 18 | 18 | 18 | 18 | 18 | 18 | 18 | 18
5 | 17 | 17 | 17 | 17 | 17 | 17 | 17 | 17 | 17 | 17 | 17 | 17
4 | 16 | 16 | 16 | 16 | 16 | 16 | 16 | 16 | 16 | 16 | 16 | 16
3 | 15 | 15 | 15 | 15 | 15 | 15 | 15 | 15 | 15 | 15 | 15 | 15
2 | 14 | 14 | 14 | 14 | 14 | 14 | 14 | 14 | 14 | 14 | 14 | 14
1 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13
2023 | A | B | C | D | E | F | G | H | I | J | K | L
12 | 12 | 12 | 12 | 12 | 12 | 12 | 12 | 12 | 12 | 12 | 12 | 12
11 | 11 | 11 | 11 | 11 | 11 | 11 | 11 | 11 | 11 | 11 | 11 | 11
10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10
9 | 9 | 9 | 9 | 9 | 9 | 9 | 9 | 9 | 9 | 9 | 9 | 9
8 | 8 | 8 | 8 | 8 | 8 | 8 | 8 | 8 | 8 | 8 | 8 | 8
7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7
6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6
5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5
4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4
3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3
2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2
1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1
Spreadsheet: 695449d1600220073-to-have-a-sum-of-days-from-multiple-column-and-reference-need-help
Sheet: Sheet1

 | Can help how to automate the data? |  |  |  |  | Flag with "st" |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Completion Date |  |  |  | Number of Days to [NAME]
 | Attendance | 2020-09-12 00:00:00 | 2020-09-11 00:00:00 | 2020-09-10 00:00:00 | 2020-09-09 00:00:00 | 2020-09-08 00:00:00 | 2020-09-07 00:00:00 | 2020-09-06 00:00:00 | 2020-09-05 00:00:00 | 2020-09-04 00:00:00 | 2020-09-03 00:00:00 | 2020-09-02 00:00:00 | 2020-09-01 00:00:00 | 2020-08-31 00:00:00 | 2020-08-30 00:00:00 | 2020-08-29 00:00:00 | 2020-08-28 00:00:00 | 2020-08-27 00:00:00 | 2020-08-26 00:00:00 | 2020-08-25 00:00:00 | 2020-08-24 00:00:00 | 2020-08-23 00:00:00 |  | Stage 1 | Stage 2 | Stage 3 |  | Stage 1 | Stage 2 | Stage 3
 | Person 1 |  | st3 | st3 | st3 |  |  | st3 | st2 |  |  | st2 | st2 |  |  | st2 | st1 |  |  |  | Absent | Absent |  | 2020-08-28 00:00:00 | 2020-09-05 00:00:00 | 2020-09-11 00:00:00
 | Person 2 |  |  | 1 | st3 | st3 |  |  | st3 | st3 |  |  |  | st3 | st2 |  |  | st2 | st2 | st1 |  |  |  | 2020-08-25 00:00:00 | 2020-08-30 00:00:00 | 2020-09-09 00:00:00
 | Person 3 |  | st3 | st3 | st3 |  |  | st3 | st2 |  |  | st2 | st2 |  |  | st2 | st1 |  |  |  |  |  |  | 2020-08-28 00:00:00 | 2020-09-05 00:00:00 | 2020-09-11 00:00:00
 | Person 4 |  |  | st3 | st3 | st3 |  |  | st3 | st3 |  |  |  | st3 | st2 |  |  | st2 | st1 | st1 |  |  |  | 2020-08-26 00:00:00 | 2020-08-30 00:00:00 | 2020-09-10 00:00:00
 |  |  |  |  |  | Flag with 1 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Completion Date |  |  |  | Number of Days to [NAME]
 | Attendance | 2020-09-12 00:00:00 | 2020-09-11 00:00:00 | 2020-09-10 00:00:00 | 2020-09-09 00:00:00 | 2020-09-08 00:00:00 | 2020-09-07 00:00:00 | 2020-09-06 00:00:00 | 2020-09-05 00:00:00 | 2020-09-04 00:00:00 | 2020-09-03 00:00:00 | 2020-09-02 00:00:00 | 2020-09-01 00:00:00 | 2020-08-31 00:00:00 | 2020-08-30 00:00:00 | 2020-08-29 00:00:00 | 2020-08-28 00:00:00 | 2020-08-27 00:00:00 | 2020-08-26 00:00:00 | 2020-08-25 00:00:00 | 2020-08-24 00:00:00 | 2020-08-23 00:00:00 |  | Stage 1 | Stage 2 | Stage 3 |  | Stage 1 | Stage 2 | Stage 3
 | Person 1 |  | 1 | 1 | 1 |  |  | 1 | 1 |  |  | 1 | 1 |  |  | 1 | 1 |  |  |  | Absent | Absent |  | 2020-08-28 00:00:00 | 2020-09-05 00:00:00 | 2020-09-11 00:00:00
 | Person 2 |  |  | 1 | 1 | 1 |  |  | 1 | 1 |  |  |  | 1 | 1 |  |  | 1 | 1 | 1 |  |  |  | 2020-08-25 00:00:00 | 2020-08-30 00:00:00 | 2020-09-09 00:00:00
 | Person 3 |  | 1 | 1 | 1 |  |  | 1 | 1 |  |  | 1 | 1 |  |  | 1 | 1 |  |  |  |  |  |  | 2020-08-28 00:00:00 | 2020-09-05 00:00:00 | 2020-09-11 00:00:00
 | Person 4 |  |  | 1 | 1 | 1 |  |  | 1 | 1 |  |  |  | 1 | 1 |  |  | 1 | 1 | 1 |  |  |  | 2020-08-26 00:00:00 | 2020-08-30 00:00:00 | 2020-09-10 00:00:00
Spreadsheet: 868234d1714981536-tier-incentive-will-be-automatically-calculated-based-on-tier-doctors-calculation-april-2024-allan-sampling-of-doing-formula-copy-1-aligw
Sheet: Ulthera

 | Ulthera
 | Service Name | No of mins per session/day | No of mins per Month | No of patient we can accomidate Per Day | No of patient we can accomidate Per Month
 | Ulthera Eye Brows | 20 mins | 11520 | 24 | 576
 | Ulthera Cheeks | 30 mins | 11520 | 16 | 384
 | Ulthera Upper Neck | 25 mins | 11520 | 19 | 460
 | Ulthera Full Face | 45 mins | 11520 | 10 | 255
 | Ulthera Full Face + Neck | 1 hr | 11520 | 8 | 192
 | Ulthera Machine Monthly Depreciation | 5000
 | [NAME] number of cases per month
 | Depreciation per case
Spreadsheet: 146049d1331877499-calculating-start-and-end-times-lp-and-roster
Sheet: Graph

 |  | 00:30:00 | 01:00:00 | 01:30:00 | 02:00:00 | 02:30:00 | 03:00:00 | 03:30:00 | 04:00:00 | 04:30:00 | 05:00:00 | 05:30:00 | 06:00:00 | 06:30:00 | 07:00:00 | 07:30:00 | 08:00:00 | 08:30:00 | 09:00:00 | 09:30:00 | 10:00:00 | 10:30:00 | 11:00:00 | 11:30:00 | 12:00:00 | 12:30:00 | 13:00:00 | 13:30:00 | 14:00:00 | 14:30:00 | 15:00:00 | 15:30:00 | 16:00:00 | 16:30:00 | 17:00:00 | 17:30:00 | 18:00:00 | 18:30:00 | 19:00:00 | 19:30:00 | 20:00:00 | 20:30:00 | 21:00:00 | 21:30:00 | 22:00:00 | 22:30:00 | 23:00:00 | 23:30:00 | 12:00:00
 | [NAME] doe | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | X | X | X | X | X | X | X | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y
 | [NAME] | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | Y | Y | Y | Y | Y | Y | Y | X | Y
 | [NAME] | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | X
 | hhh | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | X
 | 0 | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | X
 | 0 | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | X
 | 0 | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | X
 | 0 | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | X
 | 0 | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | X
 | 0 | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | X
 | 0
 | 0
 | 0
 | 0
 | 0
 | 0
 | 0
 | 0
 | 0
 | 0
 | 0
 | 0
 | 0
Spreadsheet: 807597d1669966226-bank-account-balance-for-each-account-in-one-table-sample
Sheet: List1

 |  |  |  |  | preff.display
 |  | Name | income | outcome | account balance | commment
 |  | Nina | 50 |  | 50 | starting balance
 |  | [NAME] | 42 |  | 42 | starting balance
 |  | [NAME] | 61 |  | 61 | starting balance
 |  | [NAME] | 73 |  | 73 | starting balance
 |  | [NAME] | 36 |  | 36 | starting balance
 |  | [NAME] | 11 |  | 53 | sallary
 |  | [NAME] |  | 8 | 45 | sugar
 |  | [NAME] |  | 9 | 27 | candles
 |  | [NAME] |  | 23 | 50 | gifts
 |  | [NAME] | 21 |  | 82 | sallary
 |  | [NAME] |  | 20 | 25 | petrol
 |  | [NAME] | 10 |  | 37 | sallary
 |  | [NAME] |  | 5 | 77 | food
 |  | [NAME] | 22 |  | 72 | sallary
 |  | Nina | 10 |  | 60 | sallary
 |  | Nina |  | 8 | 52 | food
Spreadsheet: 189370d1351173035-return-the-cell-value-of-the-same-day-sheet-1
Sheet: Sheet1

 | [NAME] of the history prior the week
 | Date | Apple | [NAME] | Orange
A | 2012-10-01 00:00:00 | 25 | 23 | 15
B | 2012-10-05 00:00:00 | 30 | 255 | 13
C | 2012-10-07 00:00:00 | 80 | 12 | 45
 | Apple |  |  |  |  |  |  | [NAME] |  |  |  |  |  |  | Orange
 | 2012-10-11 00:00:00 | 2012-10-12 00:00:00 | 2012-10-13 00:00:00 | 2012-10-14 00:00:00 | 2012-10-15 00:00:00 | 2012-10-16 00:00:00 | 2012-10-17 00:00:00 | 2012-10-11 00:00:00 | 2012-10-12 00:00:00 | 2012-10-13 00:00:00 | 2012-10-14 00:00:00 | 2012-10-15 00:00:00 | 2012-10-16 00:00:00 | 2012-10-17 00:00:00 | 2012-10-11 00:00:00 | 2012-10-12 00:00:00 | 2012-10-13 00:00:00 | 2012-10-14 00:00:00 | 2012-10-15 00:00:00 | 2012-10-16 00:00:00 | 2012-10-17 00:00:00
A | 25 | 23 | 33 | 23 | 23 | 19 | 23 | 651 | 648 | 648 | 634 | 636 | 639 | 625 | 3551.709961 | 3545.178955 | 3536.263916 | 3423.031982 | 3478.695068 | 3504.320068 | 3539.194092
B | 23 | 22 | 24 | 22 | 24 | 25 | 22 | 480 | 477 | 477 | 479 | 486 | 488 | 470 | 3722.909912 | 3714.166992 | 3700.237061 | 3695.301025 | 3757.601074 | 3742.978027 | 3684.279053
C | 50 | 67 | 83 | 84 | 73 | 91 | 78 | 141 | 141 | 140 | 141 | 142 | 142 | 140 | 4368.256836 | 4365.956055 | 4361.076172 | 4357.734863 | 4356.059082 | 4351.632813 | 4349.515137
 |  | [NAME] of the history after the week |  |  |  | [NAME] of the week
 | Date | Apple | [NAME] | Orange |  | Apple | [NAME] | Orange
A
B
C
Spreadsheet: 0367ea68-360f-4c26-b1eb-e664c60f37cc
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | RUN | T1 | BIKE | T2 | RUN.1 | POSITION | TOTAL TIME
8213 | 63711 | Celeste | Erasmus | RSA | 103 | 0:43:29 | 0:01:44 | 5:59:22 | 0:02:42 | 2:54:19 | 1 | 9:41:39
8213 | 60727 | [NAME] | Vandecasteele | BEL | 105 | 0:51:15 | 0:01:57 | 6:37:11 | 0:02:32 | 3:31:11 | 2 | 11:04:06
Spreadsheet: 494255d1482289484-help-with-if-statements-or-filters-purchase-orders-greater-than-or-equal-to-15k-pt-using-value-filter
Sheet: PT Mo by Amt

Invoice Date | Cust Po Number | Sum of Extended Amount
Jan | 361028 | 18330.18
 | 362637 | 20917.4
 | 362926 | 25230
Feb | 364526 | 15691.84
 | 364842 | 19010
 | 364886 | 17791.84
Apr | 368051 | 17401.84
 | 369223 | 17791.84
 | 370116 | 31996
 | 370119 | 32711.84
 | 370236 | 33622.19
 | 370248 | 16482.38
May | 370802 | 33597.73
 | 372410 | 39110.35
 | 372436 | 15958.46
Jun | 13976849 | 61397.40000000001
 | 373130 | 56501.18000000001
 | 373589 | 34407.43
 | 375048 | 18583.13
 | 375171 | 25422.38
Jul | 375404 | 18288.73
 | 376335 | 34991.53
 | 376543 | 16540
 | 377226 | 17894.31
 | 377323 | 28582.38
 | 377461 | 30237.07999999999
 | 377468 | 18492.71
Aug | 377889 | 29591.84
 | 380094 | 17891.97
Sep | 381256 | 18904.31
Oct | 383197 | 17054.31
 | 383546 | 21705.87
 | 383547 | 15242.4
Nov | 386455 | 20363.68
 | 387134 | 52009.7
Spreadsheet: daf3b945-c158-4fa6-8d01-dd05110b5f66
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
42245380 | 2014-07-10 20:56:22 | AXIS | 0 | 4 | 6 | 225841 | sacas | 7271 | western | 1944-12-18 | 1944-12-18 | [NAME] | Villages jumeaux
42245819 | 2014-07-10 21:30:59 | ALLIES | 0 | 5 | 6 | 225841 | sacas | 7271 | western | 1944-12-18 | 1944-12-18 | [NAME] | Villages jumeaux
Spreadsheet: daren_farmer__5890__hpl0601
Sheet: Sheet1

HPLN0601.XLS |  | Fax # [PHONE]
TO:  DARREN FARMER / ENRON;  CARY METZ / ENRON;  [NAME] / HPL;  AMI_CHOSKI / ENRON
FROM:  [NAME]  (TU ELECTRIC)
SUBJECT:  NOMINATIONS - Effective June 01, 2000
 |  |  |  |  |  | ** Thursday
HPL AND ENRON NOMINATIONS: |  |  |  |  |  | 2000-06-01 00:00:00
 |  |  |  |  |  | Eff. 0900 hrs.
 |  |  |  |  | PRIOR | NOMINATED
CONTRACT |  | DELIVERY POINT |  | Upstream | NOM | VOLUME
Enron (FM) |  | LS HPL [NAME] |  | HPL | 0 | 40
Enron (FM) |  | HPL - Texoma |  | HPL | 0 | 20
 |  | Firm Summary
Enron (S) |  | Oasis Turbine |  | ENA | 0 | 5
Enron (S) |  | Oasis Sealy |  | ENA | 0 | 25
Enron (S) |  | Reklaw |  | ENA | 0 | 30
 |  | Enron North America Spot/3959
OTHER ENRON/HPL TRANSPORTS: |  |  |  | Downstream
Empire (Enron) |  | [NAME]. |  | Empire | 0 | 8
Empire (Enron) |  | SANDHILLS |  | Empire | 0 | 0.65
Empire (Enron) |  | Delhi TOG #3 |  | Empire | 0 | 1.4
Empire (Enron) |  | Oasis Turbine |  | Empire | 0 | 7.95
 |  | Total Other Transports:
NOTE:  Additional swing volumes may be requested at Teco Tap, or Texoma by TUFCO Gas Control under either the
Wagner Brown K# 1901 or HPL K# 3949 agreements.
*  Nominations to continue until TU Electric changes such nominations.
CC:   [NAME] | [NAME]
R. Skerik | [NAME]
G. Green | K. English
B. Fleming | GCC Dispatcher
Spreadsheet: 67518d1268138275-i-dont-want-blank-cell-in-drop-down-cell-test-for-dropdown
Sheet: Sheet1

 |  |  | FIRST | SECOND | THIRD | FOURTH
 |  | [NAME] | 50 | 4587 | 587 | 7878 |  |  |  | 1 | [NAME]
 |  | KHALID | 4587 | 57487 | 457 | 0 |  |  |  | 2 | KHALID
 |  | [NAME] | 878 | 4548 | 548 | 548 |  |  |  | 3 | [NAME]
 |  |  |  |  |  |  |  |  |  | 0 | IQBAL
 |  |  |  |  |  |  |  |  |  | 0 | RAMZAN
 |  | IQBAL | 45 | 545 | NEXT | PRE |  |  |  | 6 | [NAME]
 |  | RAMZAN | OUT | MAR | DEC | 285 |  |  |  | 7 | KABPPOOR
 |  |  |  |  |  |  |  |  |  | 0 | VIJAUY
 |  |  |  |  |  |  |  |  |  | 0 | MABINDA
 |  | [NAME] | 50 | 4587 | 587 | 7878 |  |  |  | 10 | MICHLE
 |  | KABPPOOR | 4587 | 57487 | 457 | 0 |  |  |  | 11 | [NAME]
 |  | VIJAUY | 878 | 4548 | 548 | 548 |  |  |  | 12 | RASH
 |  | MABINDA | 878 | 4548 | 548 | 548 |  |  |  | 13 | MINSH
 |  | MICHLE | 878 | 4548 | 548 | 548 |  |  |  | 14 | MIHSA
 |  |  |  |  |  |  |  |  |  | 0 | MAI
 |  |  |  |  |  |  |  |  |  | 0 | [NAME]
 |  |  |  |  |  |  |  |  |  | 0 | RAJA
 |  | [NAME] | 50 | 4587 | 587 | 7878 |  |  |  | 18 | [NAME]
 |  | RASH | 4587 | 57487 | 457 | 0 |  |  |  | 19 | #N/A
 |  | MINSH | 4587 | 57487 | 457 | 0 |  |  |  | 20 | #N/A
 |  | MIHSA | 878 | 4548 | 548 | 548 |  |  |  | 21 | #N/A
 |  | MAI | 878 | 4548 | 548 | 548 |  |  |  | 22 | #N/A
 |  |  |  |  |  |  |  |  |  | 0 | #N/A
 |  |  |  |  |  |  |  |  |  | 0 | #N/A
 |  |  |  |  |  |  |  |  |  | 0 | #N/A
 |  | [NAME] |  |  |  |  |  |  |  | 26 | #N/A
 |  | RAJA |  |  |  |  |  |  |  | 27 | #N/A
 |  | [NAME] |  |  |  |  |  |  |  | 28 | #N/A
Spreadsheet: 377647d1424104820-need-spreadsheet-for-the-calculation-of-futa-and-suta-payroll-taxes-master_futa_suta
Sheet: Sheet1

 |  | 7000 | 35700 | 0.006 | 0.02
 | Earnings | FUTA                  7000 only | SUTA                  35700 only | FUTA x.006 | SUTA x.02 | Quartal
Jan | 1245.23 |  |  |  |  | 1
Feb | 2356.25 |  |  |  |  | 1
March | 1234.58 |  |  |  |  | 1
April | 1500 |  |  |  |  | 2
May | 4000 |  |  |  |  | 2
June | 16000 |  |  |  |  | 2
July | 6000 |  |  |  |  | 3
Aug | 12000 |  |  |  |  | 3
Sept |  |  |  |  |  | 3
Oct |  |  |  |  |  | 4
Nov |  |  |  |  |  | 4
Dec. |  |  |  |  |  | 4
Q
1
2
3
4
 | Monthly earnings only cumulative at the Quarters | This Column should stop adding column A when value reaches 7000 | This Column should stop adding column A when value reaches 35700 | This column should calculate a 6% tax on earnings | This column should calculate a 2% tax on earnings
Spreadsheet: 468076d1467125005-copying-row-formula-from-one-sheet-to-another-sheet-template
Sheet: 15K

Percent Dissolved at Different Times from a 80mg ER tablets Product with Corresponding Percent and Amounts in mg Obtained within Sampling Interval.
Values Represent Averages of 6 tablets
Time | % Released Cumulative | % Released (Within Sampling Interval | Amt. (mg) (within Sampling Interval) | Strength
0 | 0 | 0 | 0 | 80
1 | 29.27 | 29.27
2 | 41.61441944444444
3 | 51.86857219903543
4 | 60.21699495080058
5 | 68.33108193665578
6 | 74.3659546995193
7 | 80.02718252398243
8 | 83.77602511657501
9 | 87.22757174857803
10 | 90.02199554737683
11 | 93.24219765303577
12 | 95.48956394305462
13 | 97.15981696135304
14 | 98.58686202938026
15 | 99.60369254707854
16 | 100.5189620294449
17 | 100.7911914928827
18 | 101.5028733802495
19 | 101.7173049601999
20 | 101.2300154412996
21 | 102.6327281970846
22 | 103.3547866262034
23
24 | 102.3417102013329
Spreadsheet: 04c68325-fb04-4d0e-85cf-e49d77ee618a
Sheet: Report Summary

Freed-Hardeman University
College of Business
Major Field Test  in Masters of Business - Results
 | Peer Group* | FHU Graduate Business
Overall Results | 8-yrs ended 8/2013 | 10/11 | 11/12 | 12/13
# Students Tested |  | 22 | 32 | 24
Institutional Mean Score | 248.8 | 252.4 | 257.1 | 251.8
National Institutional Mean | 249.1 | 248.9 | 248.5 | 248.4
National Percentile Ranking | 43rd | 62nd | 85th | 58th
 |  | FHU Graduate Business - Student Counts in the Range
FHU Student Counts by Percentile |  | 10/11 | 11/12 | 12/13
=>90th percentile |  | 3 | 5 | 2
80-89th percentile |  | 3 | 8 | 2
70-79th percentile |  | 2 | 2 | 3
60-69th percentile |  | 4 | 3 | 4
50-59th percentile |  | 2 | 5 | 5
40-49th percentile |  | 2 | 4 | 2
30-39th percentile |  | 1 | 2 | 2
20-29th percentile |  | 1 | 1
=<19th percentile |  | 4 | 2 | 4
Total number of students
Percentage of students scoring above the national mean |  | 0.541 | 0.563 | 0.458
FHU Percentile results by Discipline |  | 10/11 | 11/12 | 12/13
Marketing |  | 49th | 88th | 64th
Management |  | 51st | 81st | 65th
Finance |  | 55th | 60th | 43rd
Managerial Accounting |  | 77th | 89th | 61st
Strategic Integration |  | 66th | 86th | 59th
*Peer group scores reflect results for the period September 2010 through September 2013.  Peer group consists of the following institutions (# of students):  Belmont University (161), Bethel University (300), Brenau University (245), Christian Brothers University (60), Hardin-Simmins University (31), Oklahoma Christian University (606), Piedmont College (92), Southeastern Oklahoma State University (7), Sul Ross State University-Alpin (10), Tennessee Tech University (188).
Spreadsheet: 858963d1707439105-maxifs-max-count-based-on-multliple-criteria-tracking-test-01
Sheet: SUMMARY

 |  |  |  |  | START: | 2024-01-01 00:00:00
BANKS ISSUED | TOTAL COUNT | DAY | SWING | GRAVE | END: | 2024-02-28 00:00:00
BANK #01
BANK #03
BANK #04
BANK #02 (ISSUES)
BANK #02 (RETURNS)
DATE | SHIFT | EMPLOYEE | EMP # | TYPE | OUTLET | AMOUNT
 | DAY | 0 | 0 | ISSUE | BANK #01 | 900
2024-01-01 00:00:00 | DAY | 0 | 0 | ISSUE | BANK #01 | 900
2024-01-01 00:00:00 | DAY | 0 | 0 | ISSUE | BANK #02 | 15000
2024-01-01 00:00:00 | DAY | 0 | 0 | ISSUE | BANK #02 | 15000
2024-01-01 00:00:00 | DAY | 0 | 0 | ISSUE | BANK #03 | 687.5
2024-01-01 00:00:00 | DAY | 0 | 0 | ISSUE | BANK #04 | 687.5
2024-01-02 00:00:00 | SWING | 0 | 0 | ISSUE | BANK #01 | 900
2024-01-02 00:00:00 | SWING | 0 | 0 | ISSUE | BANK #01 | 900
2024-01-02 00:00:00 | DAY | 0 | 0 | ISSUE | BANK #02 | 15000
2024-01-02 00:00:00 | SWING | 0 | 0 | RETURN | BANK #02 | 15000
2024-01-02 00:00:00 | SWING | 0 | 0 | RETURN | BANK #02 | 15000
2024-01-02 00:00:00 | SWING | 0 | 0 | RETURN | BANK #02 | 15000
2024-01-02 00:00:00 | SWING | 0 | 0 | ISSUE | BANK #03 | 687.5
2024-01-02 00:00:00 | SWING | 0 | 0 | ISSUE | BANK #03 | 687.5
2024-01-02 00:00:00 | SWING | 0 | 0 | ISSUE | BANK #04 | 687.5
2024-01-03 00:00:00 | DAY | 0 | 0 | ISSUE | BANK #01 | 900
2024-01-03 00:00:00 | DAY | 0 | 0 | ISSUE | BANK #01 | 900
2024-01-03 00:00:00 | SWING | 0 | 0 | ISSUE | BANK #01 | 900
2024-01-03 00:00:00 | SWING | 0 | 0 | ISSUE | BANK #02 | 15000
2024-01-03 00:00:00 | SWING | 0 | 0 | ISSUE | BANK #02 | 15000
2024-01-03 00:00:00 | SWING | 0 | 0 | ISSUE | BANK #02 | 15000
2024-01-03 00:00:00 | GRAVE | 0 | 0 | RETURN | BANK #02 | 15000
2024-01-03 00:00:00 | GRAVE | 0 | 0 | RETURN | BANK #02 | 15000
2024-01-03 00:00:00 | GRAVE | 0 | 0 | RETURN | BANK #02 | 15000
2024-01-03 00:00:00 | GRAVE | 0 | 0 | RETURN | BANK #02 | 15000
2024-01-03 00:00:00 | GRAVE | 0 | 0 | ISSUE | BANK #02 | 15000
2024-01-03 00:00:00 | DAY | 0 | 0 | RETURN | BANK #02 | 15000
2024-01-03 00:00:00 | DAY | 0 | 0 | ISSUE | BANK #02 | 15000
2024-01-03 00:00:00 | DAY | 0 | 0 | ISSUE | BANK #02 | 15000
2024-01-03 00:00:00 | DAY | 0 | 0 | ISSUE | BANK #02 | 15000
2024-01-03 00:00:00 | DAY | 0 | 0 | ISSUE | BANK #02 | 15000
2024-01-03 00:00:00 | SWING | 0 | 0 | RETURN | BANK #02 | 15000
2024-01-03 00:00:00 | SWING | 0 | 0 | RETURN | BANK #02 | 15000
2024-01-03 00:00:00 | DAY | 0 | 0 | ISSUE | BANK #03 | 687.5
2024-01-03 00:00:00 | DAY | 0 | 0 | ISSUE | BANK #04 | 687.5
2024-01-04 00:00:00 | SWING | 0 | 0 | ISSUE | BANK #01 | 900
2024-01-04 00:00:00 | SWING | 0 | 0 | ISSUE | BANK #03 | 687.5
2024-01-04 00:00:00 | SWING | 0 | 0 | ISSUE | BANK #03 | 687.5
2024-01-04 00:00:00 | SWING | 0 | 0 | ISSUE | BANK #03 | 687.5
2024-01-04 00:00:00 | SWING | 0 | 0 | ISSUE | BANK #04 | 687.5