tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 779444d1651777170-combining-let-xlookup-and-replace-live
Sheet: New LIVE

Status | GTIN | UPC | Grocery Code | Colour of Label | Label 1 | Label 2 | Label 3 | Label 4 | Month of Production | Company | Category | Sub Category | Packaging | Brand | Type | Popularity | Delivery Method | Responsible Person | Responsible Person Last Name | Product Type | Net Weight gr | Net Vol ml | Units
In market | 1224 | N/A | FG4351-NFL | Red | N/A | N/A | N/A | N/A | April | Food Co. | Food | Fruit | N/A | Whole Foods | Apple | High | Train | [NAME] | Green | Edible | 400 | N/A | 1
In market | 6546 | N/A | FG1729 | Blue | N/A | N/A | N/A | N/A | June | Food Co. | Food | Fruit | N/A | Whole Foods | Peach | Low | Train | [NAME] | Goodman | Edible | 350 | N/A | 1
In market | 4512 | N/A | FG7527-QC | Orange | N/A | N/A | N/A | N/A | July | Food Co. | Food | Fruit | N/A | Whole Foods | [NAME] | Medium | Train | Fred | Mern | Edible | 250 | N/A | 1
In market | 6351 | N/A | FG8729 | Blue | N/A | N/A | N/A | N/A | September | Food Co. | Food | Fruit | N/A | Whole Foods | Watermelon | Low | Truck | Nadine | [NAME] | Edible | 670 | N/A | 1
In market | 1244 | N/A | FG8717 | Green | N/A | N/A | N/A | N/A | November | Food Co. | Food | Fruit | N/A | Whole Foods | [NAME] | Low | Truck / Plane | [NAME] | Christie | Edible | N/A | 500 | 3
In market | 7711 | N/A | FG8715 | Orange | N/A | N/A | N/A | N/A | September | Food Co. | Food | Fruit | N/A | Whole Foods | Grapes | Low | Train | [NAME] | [NAME] | Edible | 325 | N/A | 1
In market | 8001 | N/A | FG1890-AB | Violet | N/A | N/A | N/A | N/A | February | Food Co. | Food | Fruit | N/A | Whole Foods | Dragon Fruit | Medium | Plane | Nicole | Kurt | Edible | 275 | N/A | 1
In market | 3428 | N/A | BW9644 | Blue | N/A | N/A | N/A | N/A | June | Food Co. | Food | Fruit | N/A | Whole Foods | Blueberries | High | Plane | Billy | Rode | Edible | 200 | N/A | 1
Spreadsheet: 775145d1648840552-employee-attendance-tracker-employee-attendance-record
Sheet: Everyone

 | Employee [NAME]
 | Employee Name | Start Date | End Date | Type of Leave | Days | Hours Used
 | [NAME] 876 | 2022-03-30 00:00:00 | 2022-03-30 00:00:00 | Flex Time
 | [NAME] 876 | 2022-03-31 00:00:00 | 2022-03-31 00:00:00 | [NAME]
Spreadsheet: 113226d1309192692-finding-top-values-group-sampledatatop10
Sheet: Result

Top 10 Report
Period 2
Position | Keyword | Clicks | Impressions | Lookup
1 | Keyword 1 | 40 | 2351
2 | Keyword 29 | 28 | 2104
3 | Keyword 15 | 22 | 3954
4 | Keyword 10 | 17 | 1050
5 | Keyword 45 | 15 | 898
6 | Keyword 113 | 8 | 37
7 | [NAME] | 7 | 324
8 | Keyword 97 | 6 | 643
9 | Keyword 79 | 3 | 450
10 | Keyword 131 | 3 | 465
Spreadsheet: darron_c_giron__7957__midland_cogen
Sheet: firm9707

ENRON CAPITAL & TRADE RESOURCES
NETBACK AND FIRM CALCULATIONS
1997-07-01 00:00:00
IFGMR (TRKL/TX) |  |  | 2.07 |  |  | No. of Days: | 31
IFGMR (TRKL/LA) |  |  | 2.08
IFGMR (PEPL/TX/OK) |  |  | 2.01
IFGMR (ANR/LA) |  |  | 2.08
IFGMR (HENRY HUB) |  |  | 2.16
MIDLAND COGENERATION VENTURES
CONTRACT #16-60548-302 (Ultramar)
FIXED CONTRACT: | YEAR | PRICE | YEAR | PRICE
 | 1992 | 2.52 | 2001 | 3.93
 | 1993 | 2.4 | 2002 | 4.23
 | 1994 | 2.51 | 2003 | 4.73
 | 1995 | 2.61 | 2004 | 5.07
 | 1996 | 2.53 | 2005 | 5.43
 | 1997 | 2.65 | 2006 | 5.82 | JAN-SEP
 | 1998 | 2.67 | 2006 | 5.95 | OCT-DEC
 | 1999 | 2.9 | 2007 | 6.37
 | 2000 | 3.33
TERM: Through year 2004 ([NAME])  with annual renewal thereafter.
MaxDQ: 8500 MMBtu/DAY
MinDQ: 60% OF MaxDQ F7,000 MMBtu/DAY | DQ for December, January, and February, 80% of MaxDQ for all other months.
MIDLAND COGENERATION VENTURES
CONTRACT #016-60548-305 (Union Pacific)
PEPL VOLUME |  |  |  | BASIS DIFFERENTIAL
CONTRACT PRICE |  | 2.45 |  | IFGMR (HENRY HUB)
LESS BASIS DIFF |  |  |  | LESS IFGMR(PEPL-TX/OK)
FINAL SALES PRICE |  |  |  | BASIS DIFFERENTIAL
TERM: JUNE 1, 1996 THROUGH SEPTEMBER 30, 2006
DESIGNATED QUANTITY -PEPL |  | 5000 | MMBTU/D
ANR VOLUME |  |  |  | BASIS DIFFERENTIAL
CONTRACT PRICE |  | 2.45 |  | IFGMR (HENRY HUB)
LESS BASIS DIFF |  |  |  | LESS IFGMR (ANR/LA)
FINAL SALES PRICE |  |  |  | BASIS DIFFERENTIAL
TERM: JUNE 1, 1996 THROUGH SEPTEMBER 30, 2006
[NAME] -ANR |  | 4000 | MMBTU/D
TRKL/ LA-TRKL/TX AVG  VOLUME |  |  |  | BASIS DIFFERENTIAL
CONTRACT PRICE |  | 2.45 |  | IFGMR (HENRY HUB)
LESS BASIS DIFF |  |  |  | LESS AVG IFGMR (TRKL/LA)/IFGMR(TRKL/TX)
FINAL SALES PRICE |  |  |  | BASIS DIFFERENTIAL
DESIGNATED TRKL TOTAL |  | 6000 | MMBTU/D
*Customer prefers rounding to nearest penny.
Spreadsheet: lisa_gang__22230__EPE_MARCH_2002
Sheet: MARCH(24)

To: El Paso Marketing   -  fax # [PHONE]
El Paso Generation   -  fax # [PHONE]
 | 2002-03-24 00:00:00
HR ENDING | HR ENDING | FOUR CORNERS
Pacific | Mountain | SALE
Standard | Standard | EPMI
Time | Time | 22.25
 |  | CARRY OVER FROM 3/23
 |  | 3/1/02-3/31/02
 |  | EPMI TAG#41617 |  |  | TOTAL NET | NET PALO VERDE | NET FOUR CORNERS | NET EDDY
PST | MST | DIRECT BILL
2400 | 0100 | 25
0100 | 0200 | 0
0200 | 0300 | 0
0300 | 0400 | 0
0400 | 0500 | 0
0500 | 0600 | 0
0600 | 0700 | 0
0700 | 0800 | 0
0800 | 0900 | 0
0900 | 1000 | 0
1000 | 1100 | 0
1100 | 1200 | 0
1200 | 1300 | 0
1300 | 1400 | 0
1400 | 1500 | 0
1500 | 1600 | 0
1600 | 1700 | 0
1700 | 1800 | 0
1800 | 1900 | 0
1900 | 2000 | 0
2000 | 2100 | 0
2100 | 2200 | 0
2200 | 2300 | 0
2300 | 2400 | 0
2400 | 0100 | 0
 | MST Total |  |  |  |  |  |  |  | Today's Scheduled MWh
 |  |  | TOTAL SALES | TOTAL PURCHASES
 | PST TOTAL
 |  | EPE(G)4C
 |  | EPMI
 |  | AZPS(T)FC3/PPD2
 |  | WALC(T)PPD2/COOLIDGE
 |  | CRSP(L)COOLIDGE
Spreadsheet: 124346d1318344539-running-monthly-rate-of-return-for-investment-account-worksheet-example
Sheet: Sheet1

Cash Assets 2011
Investments | Jan | Feb | Mar | Apr | May | June | Jul | Aug | Sept | Oct | Nov | Dec | Annual %
Joint Acct.        0389 | 715080.06 | 723845.46 | 728959.85 | 746364.32 | 739109.79 | 736882.91 | 736649.97 | 719587.6
IRA Acct.           5765 | 187797.14 | 193816.32 | 198385.11 | 203489.76 | 198799.43 | 195668.11 | 195061.08 | 179652.89
IRA BTS            3204 | 188347.83 | 188258.06 | 187558.37 | 188741.09 | 189223.72 | 185006.55 | 184222.87 | 185546.32
Roth                3160 | 3397.2 | 3476.61 | 3238.35 | 3600.89 | 3298.24 | 3229.71 | 3242.98 | 3119.72
Survivor IRA   4976 | 27338.47 | 27723.32 | 27793.16 | 28440.05 | 28102.96 | 27898.32 | 27986.64 | 26401.47
Rollover IRA   5096 | 21768.53 | 21984.36 | 22056.65 | 22443.26 | 22258.46 | 22184.59 | 22241.79 | 21722.68
Roth IRA Ivy   6479 | 5923.28 | 6091.37 | 6186.7 | 6578.07 | 6394.33 | 6343.88 | 6439.28 | 5999.95
Annuity | 54804.51 | 55766.55 | 55793.82 | 57040.99 | 56622.58 | 55938.13 | 55467.28 | 53311.37
Spreadsheet: 126617d1319777928-isna-in-array-formula-problem-ranking-report
Sheet: Ranking Report

 |  | Ranking Report
SEOT | Keyword | URL |  |  |  | 2011-10-20 00:00:00 | 2011-10-21 00:00:00 | 2011-10-23 00:00:00 | 2011-10-24 00:00:00 | 2011-10-25 00:00:00 | 2011-10-26 00:00:00
 | cosmetics | http://faceofaustralia.com.au
 |  | http://faceofaustralia.com.au/cosmetics
 | makeup | http://faceofaustralia.com.au
 |  | http://faceofaustralia.com.au/makeup
 | mascara | http://faceofaustralia.com.au
 |  | http://faceofaustralia.com.au/mascara
 | eyeliner | http://faceofaustralia.com.au
 |  | http://faceofaustralia.com.au/eyeliner
 | primer | http://faceofaustralia.com.au
 |  | http://faceofaustralia.com.au/primer
 | [NAME] | http://faceofaustralia.com.au
 |  | http://faceofaustralia.com.au/blush
Spreadsheet: 702702d1604493139-google-sheets-how-to-embed-a-condition-with-if-clause-in-given-formula-live-tracking-unique
Sheet: UNIQUE ENTRIES

 |  |  |  | ORDER | CUTTING | SHIPPED | BALANCE | PACKING | PENDING | BOX
Spreadsheet: 224224c3-bc31-46f2-9909-4545d8d31c9f
Sheet: Sheet1

Table 4--U.S. fiber demand | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5
 | May | June | July |  | July
Item | 2013 | 2013 | 2013 |  | 2012
 | 1,000 480-lb. [NAME]
Cotton:
All consumed by mills 1/ | 307 | 297 | 301 |  | 284
Total since August 1 | 2902 | 3199 | 3500 |  | 3300
Daily rate | 13.3 | 14.9 | 13.1 |  | 12.9
Upland consumed by mills 1/ | 305 | 296 | 299 |  | 282
Total since August 1 | 2883 | 3179 | 3478 |  | 3278
Daily Rate | 13.3 | 14.8 | 13 |  | 12.8
Upland exports | 1267 | 791 | 541 |  | 917
Total since August 1 | 10858 | 11649 | 12190 |  | 11120
Sales for next season | 326 | 231 | 1202 |  | 1683
Total since August 1 | 1826 | 2056 | 3258 |  | 4176
Extra-long staple exports | 104.3 | 74.5 | 50 |  | 31.3
Total since August 1 | 711.8 | 786.3 | 836.3 |  | 594.1
Sales for next season | 3.4 | 4.5 | 86 |  | 118.5
Total since August 1 | 66.1 | 70.8 | 156.8 |  | 175.7
 | Apr. | May | June |  | June
 | 2013 | 2013 | 2013 |  | 2012
 | Million pounds
Manmade:
Raw fiber exports | 59.4 | 63.6 | 50.6 |  | 57.7
Noncellulosic | 58.8 | 62.8 | 50.3 |  | 57.2
Cellulosic | 0.6 | 0.8 | 0.3 |  | 0.5
Total since January 1 | 218.3 | 281.9 | 332.5 |  | 340.4
Total since January 1
 | 1,000 pounds
Wool and mohair:
Raw wool exports, clean | 496.2 | 1579.4 | 742.3 |  | 723.8
Total since January 1 | 2950.4 | 4529.8 | 5272.1 |  | 3170.7
Wool top exports | 231.6 | 179.7 | 170.8 |  | 79.5
Total since January 1 | 845.9 | 1025.5 | 1196.4 |  | 205.7
Mohair exports, clean | 374.6 | 37.2 | 31.7 |  | 0
Total since January 1 | 378.6 | 415.7 | 447.4 |  | 76.1
1/  Estimated by USDA.
Sources: USDA, Farm Service Agency; USDA, Foreign Agricultural Service,
U.S. Export Sales; U.S. Dept. of Commerce, U.S. Census Bureau; and [NAME].
Last update: 09/16/13.
Spreadsheet: 836665d1689577161-using-index-formula-to-summarise-training-database-index
Sheet: GIR

CÔNG TY TNHH GE-SHEN VIỆT NAM |  |  |  |  |  | Form: | HR-F01
GE-SHEN (VIETNAM) CO., LTD. |  |  |  |  |  | Rev: | C
GHI CHÉP ĐÀO TẠO CÁ NHÂN/ NHÓM
GROUP / INDIVIDUAL TRAINING RECORD
Ngày bắt đầu |  | 2022-01-05 00:00:00 |  | [NAME] điểm
Start date |  |  |  | Venue
[NAME] |  |  |  | Người đào tạo
End date |  |  |  | Trainer's name
Số ngày |  |  |  | Chức danh đào tạo | 6S Training
Time/ No. Of Days |  |  |  | Training Title
TT | Tên người tham gia | Emp. No. | Dept | Khóa đào tạo | Kết quả đào tạo | Chữ ký | Ghi chú
No. | Participant Name |  |  | Training Course | Result | Signature | Remarks
1 |  |  |  |  |  |  |  |  | C7 | manually key in
2 |  |  |  |  |  |  |  |  | J11 | manually key in
3 |  |  |  |  |  |  |  |  | D16 | Emp. No. here will be tabulated based on the training title and date above
4 |  |  |  |  |  |  |  |  | B16 | name here will be tabulated based on the training title and date above
5 |  |  |  |  |  |  |  |  | E16 | lookup value from Database sheet or Employee name
6 |  |  |  |  |  |  |  |  | B17 to B45 | list of participant attended for that date
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
Ghi chép bởi
Recorded by
Spreadsheet: 168179d1342282585-text-date-to-excel-date-dateproblem
Sheet: Sheet1

Raw Data |  |  | Concentated Date | Day | Month | Year |  | these are my calcs to extract the day month and year from column B
March 31 23:59:54 2009 EDT
April 1 00:00:03 2009 EDT
Spreadsheet: 493468d1481731249-which-value-is-closer-example-2
Sheet: Sheet1

 |  |  |  | Amount | Account | The closer one is | which is closest to
 |  |  |  | 405 | 111 | 405 | 480
 |  |  |  | 595 | 111 | 405 | 480
 |  |  |  | 1054 | 333 | 1054 | 900
 |  |  |  | 450 | 333 | 1054 | 900
 |  |  |  | 390 | 333 | 1054 | 900
 |  |  |  | 800 | 888 | 800 | 700
 |  |  |  | 900 | 888 | 800 | 700
Spreadsheet: 174526d1345100102-conditional-format-on-2-criteria-excel-2010-in-compatibility-mode-to-2003-conditional-format-on-2-conditions
Sheet: Sheet1

Inbound Type | Total Calls Answered | Total VA's | Total VA %
 | 0
 | 0
 | 252 | 16
 | 0
 | 691 | 45
 | 430 | 40
 | 312 | 18
 | 365 | 49
I need column D to highlight font RED if:
If A=Client and D < 6.5%
If A = NB and D < 15%
Spreadsheet: 889545d1740405181-xlookup-to-return-player-attendance-attendance-and-availability2
Sheet: Sheet1

ORIOLES | 2025-01-01 00:00:00 | 2025-01-02 00:00:00 | 2025-01-03 00:00:00 | 2025-01-04 00:00:00 | 2025-01-05 00:00:00 |  |  | TEAM | DATE | NAMES | POSITION |  |  |  | Orioles
[NAME] | 1B | P | 1B | 1B | 1B |  |  | Yankees | 2025-01-02 00:00:00 | Olivia | P |  |  |  | Yankees
[NAME] | 2B | 1B | 2B | 2B | 2B |  |  |  |  | [NAME] | 1B
Marcy | 3B | 2B | 3B | 3B | 3B |  |  |  |  | Emma | 2B
[NAME] | SS | 3B | SS | SS | SS |  |  |  |  | [NAME] | 3B
Stephon | LF | SS | LF | LF | LF |  |  |  |  | Ava | SS
[NAME] | RF | LF | RF | RF | RF |  |  |  |  | [NAME] | LF
[NAME] | CF | RF | CF | CF | CF |  |  |  |  | Sophia | RF
[NAME] | C | CF | C | C | C |  |  |  |  | Elijah | CF
[NAME] | P | C | X | X | X |  |  |  |  | [NAME] | C
[NAME] | X | X | P | X | X |  |  |  |  | [NAME] | X
Stanley | X | X | X | P | X |  |  |  |  | [NAME] | X
[NAME] | X |  | X | X | P |  |  |  |  | Amelia | X
Greg | X |  | X | X | X |  |  |  |  | Charlotte | X
[NAME] |  | X |  |  |  |  |  |  |  | Mason | X
Kendall |  | X
Veronica |  | X
YANKEES
Olivia | 1B | P | 1B | 1B | 1B
[NAME] | 2B | 1B | 2B | 2B | 2B
Emma | 3B | 2B | 3B | 3B | 3B
[NAME] | SS | 3B | SS | SS | SS
Ava | LF | SS | LF | LF | LF
[NAME] | RF | LF | RF | RF | RF
Sophia | CF | RF | CF | CF | CF
Elijah | C | CF | C | C | C
[NAME] | P | C | X | X | X
[NAME] | X | X | P | X | X
[NAME] | X | X | X | P | X
[NAME] | X |  | X | X | P
Amelia | X | X | X | X | X
Lucas
Charlotte |  | X
Mason |  | X
 |  |  | X |  | X
Spreadsheet: 783693d1655081094-run-win-margin-by-turn-scrabble-board-22-mak-vs-toyo
Sheet: Sheet1

B | R | A | V | E |  | K | E | G |  |  |  |  | G | O | TOYO | WORD | MAK | RACK | LEAD | WORD
 |  |  | I |  |  |  | R |  |  |  |  |  | A | D | 40 | MOSQUE | 42 | WIZEJCE |  | ZE
 | P | O | L | I | C | I | ? | R |  |  |  |  | L | A | 28 | FLAT | 24 | [NAME] |  | AJI
 |  |  | E |  | L |  | V |  |  |  |  |  | O |  | 30 | WAX | 10 | CCWLING |  | CLINGS
 |  |  |  |  | I |  |  |  |  | O |  |  | R |  | 21 | ADD | 23 | CWMPIOR |  | CWM
 |  |  | H | U | N | T |  |  | F | L | A | T | E |  | 47 | CHERE | 81 | [NAME]? |  | POLICIER
 |  |  |  |  | G |  |  | Z | E | D |  | I | S |  | 21 | NONE | 27 | FLAGPOO |  | FOP
S |  |  | M | O | S | Q | U | E |  |  |  |  |  |  | 30 | EREV | 86 | GALORES | 76 | GALORES
A |  | W | A | X |  |  |  | A | J | I |  |  |  |  | 7 | EUOI | 28 | SYYTENA |  | [NAME]
T |  |  | N | O | N | E |  |  | A | D | D |  | Y | A | 15 | ODA | 39 | SENTERY |  | STY
I |  |  |  |  |  |  | C | W | M |  | E | U | O | I | 19 | TET | 24 | BREAKEN |  | BRAIN
N |  |  |  |  |  |  | H |  | S | T | Y |  |  |  | 3 | TUI | 8 | KENEVUG |  | KEG
E |  |  |  |  |  | F | E | T |  |  |  |  |  |  | 21 | OLD | 22 | ENEVUIA |  | VILE
? |  |  |  |  |  | O | R | E |  |  |  |  |  |  | 6 | TI | 30 | HUBRANE |  | BRAVE
 |  |  |  |  |  | P | E | T |  |  |  |  |  |  | 0 | NEATINGS | 7 | [NAME] |  | [NAME]
ROUND 8
Spreadsheet: 40810d1239206744-cell-transpose-transpose
Sheet: Sheet 1

What it is now |  |  | How I need it
E | 370-1426 |  | E | 370-1426 | X595A
L | X595A
E | 76H3587 |  | E | 76H3587 | 7XXX-2493 | 07H0169 | 07L7763 | 40H6674 | 76H6865 | 93H4902 | 07L5474
L | 7XXX-2493
L | 07H0169
L | 07L7763
L | 40H6674
L | 76H6865
L | 93H4902
L | 07L5474
E | SG-XARY030A |  | E | SG-XARY030A | 596-2305
L | 596-2305
E | SG-XTAPDLT-021A |  | E | SG-XTAPDLT-021A | 599-2127
Spreadsheet: 856097d1705481818-how-to-automatically-update-formula-if-there-is-no-table-update-array-formula-automatically
Sheet: Sheet1

Data |  |  |  |  |  |  |  |  |  |  |  | Help |  |  |  | Help
1st Level | 2nd Level | 3rd Level | 4th Level | 5th Level | 6th Level | 7th Level | 8th Level | 9th Level | 10th Level | 11th Level |  | 1st Level | 2nd Level |  |  | 2nd Level | 3rd Level
Alaric | Blackthoon | Percival | Thornfield | Thorne | Emberstone | Orion | Nightfall | Vesper | Nightshade | Jasper
Asher | Stormrider | Thalia | Nightshade | [NAME] | Starlight | Isadora | Frostbloom | Bastian | Stormwatch | [NAME] |  | Asher |  |  |  | Blackthorn
Astrid | [NAME] | Verity | Blaise | Victor | Storm | Odalys | Silvermoon | Peregrine | Storm | Twilight |  | Astrid |  |  |  | Creedsong
[NAME] | [NAME] | Xander | Eclipsesong | Nightshade | Orion | Augustus | Peregrine | Frost | [NAME] | Isadora |  | [NAME] |  |  |  | Crowe
Atticus | Frost | Maximilian | Ravenwood | Zephyr | Hawthorne | Odalys | Silvermoon | Peregrine | Storm | Leopold |  | Atticus |  | Frostwood |  | Fox
Atticus | Frostwood | Isolde | Frostwood | Thorne | Blackthorn | Isolde | Ravenwood | Twilightwhisper | Nightingale | Valerian |  | Augustus |  |  |  | Frost |  | [NAME]
Augustus | Blackthorn | [NAME] | [NAME] | Seraphina | Nova | Xander | Winter | Sapphira | Iliad | Odalys |  | Bastian |  |  |  | Frostwood
Bastian | Wilder | Vesper | Frost | Lysandra | Frost | [NAME] | Phoenix | Zephyrine | Starwhisper | Hawkmoon |  | Blackthorn |  |  |  | [NAME]
Blackthorn | [NAME] | Shadow | [NAME] | Nova | Cassius | Frost | Orion | Shadow | Seraphina | Everhart |  | Briar |  |  |  | [NAME]
Briar | Phoenix | Thorne | Twilight | Odessa | Obsidian | Lysandra | Frost | Frost | Moonwhisper | Lysandra |  | Calista |  |  |  | [NAME]
Calista | Fox | Seraphim | Stardust | Thorne | [NAME] | Evangeline | Frost | Sapphira | Winters | [NAME] |  | Calypso |  |  |  | Nightshade
Calista | Nightshade | [NAME] | Hawkmoon | Thistle | Skywhisper | Amara | Quillon | Shadow | [NAME] | [NAME] |  | [NAME] |  |  |  | Phoenix
Calypso | Frost | [NAME] | Frost | Quillon | Shadow | Xander | Nightshade | Cassiopeia | Frostfire | Moonstone |  | Caspian |  |  |  | Stormrider
Calypso | Nightshade | Briar | Obsidian | [NAME] | Rosewood | Orion | Emberstorm | Crowesong | Frost | Eclipse |  |  |  |  |  | Stormwhisper
[NAME] | Creedsong | Odessa | Frost | Storm | Zephyrine | Caspian | Asher | [NAME] | [NAME] | Seraphina |  |  |  |  |  | Wilder
[NAME] | Crowe | Amara | Creed | Bastian | Rain | Orion | [NAME] | [NAME] | Twilightwhisper | [NAME]
Caspian | Stormwhisper | Orion | Frostwhisper | Winter | Veridian | Thorne | Octavia | Frost | [NAME] | Odessa
Dropdown
1st Level | 2nd Level | 3rd Level | 4th Level | 5th Level | 6th Level | 7th Level | 8th Level | 9th Level | 10th Level | 11th Level
Spreadsheet: 133863d1324716741-freeze-panes-or-rows-that-dont-move-when-you-scrool-down-123
Sheet: Protein

 | Protein | 60 | 61 | 62 | 63 | 64 | 65 | 66 | 67 | 68 | 69 | 70
 | Total Bags
 | [NAME] | 64
Row # | Date | [NAME] | Lot No | Code | Moisture | TVBN | Bag No FROM | Bag No TO | Total       Bags | Issued | Remaining Bags | Fish Item
Spreadsheet: jeff_dasovich__14112__FIN group project
Sheet: attendance

 | Year | Attendance | price 1 |  | PV @ 7/96, dr | PV @ 7/96, dr2 | PV @ 7/96, dr3 | PV @ 7/96, dr4 | PV @ 7/96, dr5 | PV @ 7/96, dr6
1 | 1999 | 2703704 | 15.64
2 | 2000 | 2478395 | 16.23
3 | 2001 | 2253086 | 16.87
4 | 2002 | 2253086 | 17.54
5 | 2003 | 2253086 | 18.26
6 | 2004 | 2253086 | 19.01
7 | 2005 | 2253086 | 19.79
8 | 2006 | 2253086 | 20.6
9 | 2007 | 2253086 | 21.45
10 | 2008 | 2253086 | 22.32
11 | 2009 | 2253086 | 23.24
12 | 2010 | 2253086 | 24.19
13 | 2011 | 2253086 | 25.18
14 | 2012 | 2253086 | 26.22
15 | 2013 | 2253086 | 27.29
16 | 2014 | 2253086 | 28.42
17 | 2015 | 2253086 | 29.58
18 | 2016 | 2253086 | 29.58
19 | 2017 | 2253086 | 29.58
20 | 2018 | 2253086 | 29.58
Spreadsheet: 97924d1297025740-formatting-time-codes-help-with-date-time-codes
Sheet: diary

 | Date/Time Serial number | Time only | Date only
 | 40179.30417 | 2010-01-01 07:18:00 | 2010-01-01 07:18:00
 | 40179.35417 | 2010-01-01 08:30:00 | 2010-01-01 08:30:00
 | 40179.39417 | 2010-01-01 09:27:36 | 2010-01-01 09:27:36
 | 40179.41824 | 2010-01-01 10:02:16 | 2010-01-01 10:02:16
 | 40179.4334 | 2010-01-01 10:24:06 | 2010-01-01 10:24:06
 | 40179.43889 | 2010-01-01 10:32:00 | 2010-01-01 10:32:00
 | 40179.59653 | 2010-01-01 14:19:00 | 2010-01-01 14:19:00
 |  | 00:14:00 | 2009-01-01 00:00:00
 |  | 12:31:00 | 2009-01-01 00:00:00
 |  | 17:30:00 | 2009-01-01 00:00:00
 |  | 09:01:00 | 2009-01-01 00:00:00
 |  | 08:00:00 | 2009-01-02 00:00:00
 |  | 10:00:00 | 2009-01-02 00:00:00
 |  | 10:00:00 | 2009-01-02 00:00:00
 |  | 17:00:00 | 2009-01-02 00:00:00
Spreadsheet: 796284d1663198534-need-help-returning-multiple-values-to-one-cell-based-on-a-two-criteria-excel-workbook-v2
Sheet: Summary Dashboard

Property |  |  |  | Property | Tenant | Expiration
Property 1 |  |  |  | Property 1 | Tenant 1 | 2022-09-30 00:00:00
Property 2 |  |  |  | Property 1 | [NAME] | 2022-09-30 00:00:00
Property 3 |  |  |  | Property 2 | Tenant 3 | 2022-10-31 00:00:00
 |  |  |  | Property 2 | [NAME] | 2022-09-30 00:00:00
 |  |  |  | Property 3 | Tenant 5 | 2022-10-31 00:00:00
 |  |  |  | Property 3 | Tenant 6 | 2022-10-31 00:00:00
Spreadsheet: 840316d1692644332-total-each-poker-players-best-25-weeks-over-four-sheets-sample
Sheet: 1st Qtr

 |  | Week 1 | Week 2 | Week 3 | Week 4 | Week 5 | Week 6 | Week 7 | Week 8 | Week 9 |  |  |  | Quarterly | Total | Adjusted | Weeks
Rank | Player | 2023-02-05 00:00:00 | (Didn’t Run) | 2023-02-19 00:00:00 | 2023-02-26 00:00:00 | 2023-03-05 00:00:00 | 2023-03-12 00:00:00 | 2023-03-19 00:00:00 | 2023-03-26 00:00:00 | 2023-04-02 00:00:00 | N/A | N/A | N/A | Points | Points | Total 1 | Played
1 | Amad | 19 | 0 | 13 | 31 | 34 | 1 | 10 | 42 | 16 | 0 | 0 | 0
2 | BamaT8er | 40 | 0 | 0 | 0 | 37 | 0 | 0 | 0 | 0 | 0 | 0 | 0
3 | Bdshort14 | 0 | 0 | 4 | 0 | 16 | 0 | 31 | 0 | 0 | 0 | 0 | 0
4 | Beakertwang | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
5 | Billydice55 | 34 | 0 | 19 | 16 | 25 | 0 | 0 | 0 | 0 | 0 | 0 | 0
6 | BillyMadison | 68 | 0 | 60 | 40 | 31 | 45 | 7 | 25 | 19 | 0 | 0 | 0
7 | Burke | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
8 | DoubleEagle | 4 | 0 | 46 | 28 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0
9 | eightyWon | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
10 | FCSD36 | 63 | 0 | 28 | 10 | 49 | 50 | 25 | 28 | 47 | 0 | 0 | 0
11 | Gator | 0 | 0 | 43 | 25 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0
12 | Headhunter | 0 | 0 | 0 | 0 | 0 | 31 | 0 | 0 | 0 | 0 | 0 | 0
13 | [NAME] | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
14 | [NAME] | 13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
15 | IaHawk | 46 | 0 | 37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
16 | [NAME] | 49 | 0 | 16 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
17 | JeffW |  |  |  |  |  |  | 19 | 10
18 | JoeSensitive | 0 | 0 | 31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
19 | [NAME] | 58 | 0 | 49 | 34 | 7 | 19 | 4 | 19 | 1 | 0 | 0 | 0
20 | LaCroix238 | 16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
21 | [NAME] | 43 | 0 | 10 | 7 | 0 | 40 | 1 | 22 | 4 | 0 | 0 | 0
22 | moose | 0 | 0 | 40 | 0 | 59 | 22 | 50 | 37 | 37 | 0 | 0 | 0
23 | Pokerdoc13 | 31 | 0 | 55 | 46 | 13 | 34 | 28 | 13 | 22 | 0 | 0 | 0
24 | Rocket19 | 37 | 0 | 25 | 37 | 43 | 10 | 16 | 16 | 0 | 0 | 0 | 0
25 | shorticus | 0 | 0 | 0 | 51 | 28 | 13 | 0 | 0 | 0 | 0 | 0 | 0
26 | sicko | 52 | 0 | 22 | 13 | 54 | 25 | 34 | 31 | 28 | 0 | 0 | 0
27 | [NAME] | 1 | 0 | 1 | 4 | 22 | 7 | 40 | 1 | 25 | 0 | 0 | 0
28 | ThePiper | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0
29 | Treebarkx | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0
30 | TX_Tiger | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 31 | 0 | 0 | 0
31 | Wimp85 | 22 | 0 | 7 | 22 | 10 | 16 | 22 | 7 | 10 | 0 | 0 | 0
32 | win-winjd | 25 | 0 | 65 | 19 | 19 | 0 | 45 | 4 | 42 | 0 | 0 | 0
33 | Zscharps | 28 | 0 | 34 | 56 | 40 | 28 | 13 | 47 | 13 | 0 | 0 | 0
Spreadsheet: 717429d1612644007-dependent-dropdown-list-dropdown-list
Sheet: Sheet1

pick 1 | [NAME] |  |  |  | Names |  | Names | town | bldg
pick 2 | Kings |  |  |  | [NAME] |  | [NAME] | Kings | 542
 |  |  |  |  | ted |  | [NAME] | kings 1 | 854
 |  |  |  |  | [NAME] |  | [NAME] | [NAME] | 642
 |  |  |  |  | [NAME] |  | [NAME] | not 1 | 159
 |  |  |  |  |  |  | [NAME] | not 2 | 753
 |  |  |  |  |  |  | [NAME] | not 3 | 328
Spreadsheet: 471131d1468879340-insert-a-table-in-a-column-table-for-excelforum
Sheet: Sheet2

Date | Account # | Account Name | Type | Units
2016-07-20 00:00:00 | 769387 | Bayer | CAC | 50
2016-07-21 00:00:00 | 584714 | [NAME] | LPX | 32
2016-07-22 00:00:00 | 374824 | Odeco | LPX | 120
2016-07-23 00:00:00
2016-07-24 00:00:00
2016-07-25 00:00:00
2016-07-26 00:00:00
2016-07-27 00:00:00
2016-07-28 00:00:00