tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: c1407dc6-11f2-4b15-bcc1-99621df5ecd8
Sheet: Top 10% of Decay & Expression

Gene Ontology Categories for genes with a concordant relationship between decay and gene expression across individuals
GO Subcategory | Expected | Observed | [NAME] | Enrichment
endopeptidase inhibitor activity | 4.25882 | 18 | 9.97062e-05 | up
peptidase regulator activity | 5.32352 | 20 | 9.97062e-05 | up
endopeptidase regulator activity | 4.34399 | 18 | 9.97062e-05 | up
extracellular region | 59.0698 | 97 | 0.000108886 | up
peptidase inhibitor activity | 4.55693 | 18 | 0.000108886 | up
serine-type endopeptidase inhibitor activity | 2.72564 | 13 | 0.000257162 | up
[NAME] | 2.34235 | 12 | 0.000257162 | up
cytoplasm | 260.299 | 314 | 0.000257162 | up
nucleobase, nucleoside, nucleotide and nucleic acid metabolic process | 144.587 | 99 | 0.000257162 | down
RNA metabolic process | 87.6039 | 51 | 0.000257162 | down
enzyme inhibitor activity | 8.60281 | 24 | 0.000477701 | up
extracellular space | 23.4235 | 46 | 0.000748705 | up
Spreadsheet: 08b521a2-ca93-46cb-ad3e-e427de38c997
Sheet: Sheet1

File Extension | Container | Video Codec | Resolution | Frame Rate (fps) | Bit Rate ([NAME]) | Audio Codec | USB | DLNA | Net TV | Open Internet | Video Store
 |  | MPEG4 SP | 640x480p | 30 | 3 | AAC | Yes | Yes | No | No | No
 |  | MPEG4 ASP | 720x576p | 30 | 8 | MP3/MPEG1 L2/ AC3 | Yes | Yes | No | No | No
.mkv | MKV | H.264 | 1920x1080p | 24 | 20 | HE-AAC, AC3, MP3, PCM | Yes | Yes | No | No | No
.asf .wmv | ASF | WMV9/VC1 SP | 352x288 | 15 | 0.384 | WMA | Yes | Yes | Yes | No | Yes
 |  | WMV9/VC1 MP | 1920x1080p | 25/30 | 20 | WMA | Yes | Yes | Yes | No | Yes
 |  | WMV9/VC1 AP | 1920x1080 | 24/30/60 | 20 | WMA | Yes | Yes | Yes | No | Yes
.mp4 | MP4 | H.264 BP | 720x576i | 15/30 | 5 | AAC/HE-AAC (v1&v2)/AC3 | Yes | Yes | Yes | No | Yes
 |  | H.264 MP | 720x576i | 15/30 | 10 | AAC/HE-AAC (v1&v2)/AC4 | Yes | Yes | Yes | No | Yes
 |  | H.264 HP | 1920x1080i | 15/30 | 20 | AAC/HE-AAC (v1&v2)/AC5 | Yes | Yes | Yes | No | Yes
 |  | MPEG4 SP | 640x480p | 30 | 3 | AAC | Yes | Yes | Yes | No | Yes
 |  | MPEG4 ASP | 720x576i | 30 | 8 | AAC | Yes | Yes | Yes | No | Yes
.ts | TS | MPEG2 | 1920x1080p | 30 | 20 | [NAME] | Yes | Yes | No | No | No
.mpg .mpeg .vob | PS | MPEG2 | 1920x1080p | 30 | 20 | [NAME] LPCM | Yes | Yes | No | No | No
 |  | MPEG1 | 352x288 | 30 | 1.5 | [NAME] | Yes | Yes | No | No | No
.rmvb .rm | RMVB | RealVideo  8,9,10 | 848x480 | 30 | 2 | RA8LBR/RAAC | Yes | No | No | No | No
Spreadsheet: daren_farmer__6600__egmnom-Mar
Sheet: EGM 201

 | Nomination Change
 | ATTN: Transportation Specialist
HOUSTON PIPE LINE COMPANY
HPL Contract # |  | 012-27106-02-001
Shipper: | Entex Gas Marketing | Effective Dates:
Nominator: | Troy Benoit | Start:
Telephone: | (713)207-3376 | 2000-03-01 00:00:00
Fax: | (713)646-5799 | Stop:
 |  | 2000-03-31 00:00:00
RECEIPTS |  |  | MAR
METER # | [NAME] | SUPPLIER | 1
35 | MOSS BLUFF |  | 0
71 | TEXOMA |  | 0
584 | VALERO - AGUA DULCE |  | 0
644 | LONE STAR KATY |  | 0
701 | WESTERN HEADER |  | 0
4045 | EXXON CLEAR LAKE | SUPERIOR
4132 | EXXON KATY  (VAN) | MITCHELL | 5000
4132 | EXXON KATY | ECT | 0
4132 | EXXON KATY |  | 0
4132 | EXXON KATY  (AQ SS) |  | 0
4132 | EXXON KATY |  | 0
4531 | NEEDVILLE |  | 0
6269 | PG&E THOMPSONVILLE |  | 0
6351 | TEJAS THOMPSONVILLE |  | 0
6721 | PAWNEE PLANT |  | 0
6780 | [NAME] | Encina | 0
6780 | [NAME] | Quadalope | 0
7038 | TRANS TX AUGA DULCE |  | 0
7285 | MOSS BLUFF |  | 0
8740 | MID TX KATY |  | 0
6040 | VALERO RIVERSIDE |  | 0
7038 | [NAME] | CONOCO | 0
9643 | EXXON KING RANCH |  | 0
98675710 | CROW OCONNER | [NAME] | 150
ZZZZ | FORCED PAYBACK | ENTEX/HPL | 0
 |  | RECEIPT TOTAL
DELIVERIES
METER # | [NAME] | MARKET
35 | MOSS BLUFF
522 | HARDY
1000 | FORMOSA PLANT | FORMOSA
1060 | SHELL DEER PARK
1063 | LYONDELL/CITGO
1168 | [NAME]
1233 | TX CITY
1244 | KOCH REFINERY
1427 | GSU SABINE | ENTERGY
4132 | EXXON KATY HPL | AMOCO
7340 | LUFKIN CHAMPION | DONAHOE
1264 | WINNIE PIPELINE
1319 | ENERCORP
1326 | ENTERPRISE | ENTERPRISE
1373 | LYONDELL
1394 | HILL PETRTO | DYNEGY
1412 | HL&P PH ROBINSON
1427 | GSU SABINE | RES
1428 | DUPONT BEAUMONT | DUPONT
1431 | MARATHON TX CITY
1485 | OXY BATTLE GROUND | OXY
1507 | SABINE PIPELINE
1508 | IGS DODGE STREET
1563 | DESTECH
3069 | BAMMEL STORAGE | MIDCON/ENTEX
4132 | EXXON KATY HPL | RES
4531 | NEEDVILLE
3537 | [NAME] | KET
8020 | BAYPORT PLANT
 | HUNTSMAN | ENTEX
ZZZZ | IMBALANCE |  | 0
 |  | DELIVERY TOTAL
 |  | BALANCE
Spreadsheet: fb1c5222-194d-4d60-b5c0-c227af446103
Sheet: Sheet1

Information Resource Center Product Abstract | Unnamed: 1
Abstract Item | Place the answers in the blue fields below.
Name of Product: | Training Education Form
File Name: | "Housing Training Evaluation"
Category: | Trainings
Office: | Disability Law Center
Audience: | FHIP Grantees
Contact Number: | [PHONE]
Summary of Product: | fair housing training evaluation form
Date Completed:
Key Words: | fair housing, training, evaluation, forms
Spreadsheet: 552125d1513305152-issue-dealing-with-simple-excel-issue-formula-and-pivot-exercise
Sheet: Raw

Customer | Ind
Cesco Environmental Technologies Pte Ltd | OTRS
Cesco Environmental Technologies Pte Ltd | OTRS
Cesco Environmental Technologies Pte Ltd | OTRS
Cesco Environmental Technologies Pte Ltd | OTRS
Cesco Pipeline Technologies Pte Ltd | SI
Cesco Pipeline Technologies Pte Ltd | SI
Cesco Pipeline Technologies Pte Ltd | SI
Cesco Pipeline Technologies Pte Ltd | SI
Fisher Scientific Pte Ltd | PHAR
Fisher Scientific Pte Ltd | PHAR
Fisher Scientific Pte Ltd | PHAR
Fisher Scientific Pte Ltd | PHAR
Fisher Scientific Pte Ltd | PHAR
Fisher Scientific Pte Ltd | PHAR
PPD Global Central Lab | PHAR
PPD Global Central Lab | PHAR
BMSI -Biomedical Sciences Institute | ACAD
BMSI -Biomedical Sciences Institute | ACAD
Tessa Therapeutics Pte Ltd | PHAR
Nanyang Technological University-RRR | ACAD
Nanyang Technological University | ACAD
Nanyang Technological University | ACAD
Nanyang Technological University | ACAD
Lonza Biologics Tuas Pte Ltd | PHAR
National Neuroscience Institute | TEST
BMSI -Biomedical Sciences Institute R | ACAD
Lonza Biologics Tuas Pte Ltd | PHAR
Illumina Singapore Pte Ltd | PHAR
Illumina Singapore Pte Ltd | PHAR
Fluidigm Singapore Pte Ltd | PHAR
Fluidigm Singapore Pte Ltd | PHAR
Fluidigm Singapore Pte Ltd | PHAR
Illumina Singapore Pte Ltd | PHAR
Singapore Polytechnic | ACAD
BMSI -Biomedical Sciences Institute | ACAD
BMSI -Biomedical Sciences Institute | ACAD
Bio-Rad Laboratories (S) Pte Ltd | TEST
Lion TCR Pte Ltd | PHAR
Lion TCR Pte Ltd | PHAR
[NAME] | PHAR
[NAME] | PHAR
[NAME], Singapore Branch | PHAR
[NAME], Singapore Branch | PHAR
[NAME], Singapore Branch | PHAR
[NAME], Singapore Branch | PHAR
[NAME], Singapore Branch | PHAR
JMS Singapore Pte Ltd | PHAR
Cesco Pipeline Technologies Pte Ltd | SI
Cesco Pipeline Technologies Pte Ltd | SI
Cesco Pipeline Technologies Pte Ltd | SI
Cesco Pipeline Technologies Pte Ltd | SI
Spreadsheet: 37681d1235709586-count-the-occurence-of-a-value-across-multiple-worksheets-multisheetrankedsearch
Sheet: Sums

Results |  |  |  |  |  |  | Search |  | HelpDupe | NewCode
4 | ddd |  |  |  |  |  | aaa | 1 | 1 | 11
3 | [NAME] |  |  |  |  |  | bbb | 3 | 1 | 31
3 | bbb |  |  | Key Sum formula is in |  |  | [NAME] | 3 | 2 | 32
1 | aaa |  |  | column I here in the chart. |  |  | ddd | 4 | 1 | 41
 |  |  |  | This chart handles duplicate
 |  |  |  | values, too with no arrays.
 |  |  |  | Use chart on right to collect
 |  |  |  | the raw sums, then the formulas
 |  |  |  | in A and B to collate/rank the
 |  |  |  | data.
Spreadsheet: 868328d1715058163-in-a-column-the-text-values-is-not-generating-the-result-using-if-but-get-result-for-date-sample-283-aligw
Sheet: Sheet1

SWIFT Remediation Target Date | Condition | Output
To receive extended support evidence by 31Mar24 | If A2="To receive extended support evidence by 31Mar24" or Datevalue<15/07/2024 | in progress
2024-09-30 00:00:00 | if A3>15/07/2024 | Data set beyound 15Jul2024
2024-03-31 00:00:00 | if A4<=15/07/2024 | in progress
Upgraded 19.8.0.2.Build.86 | if A5=<Any text like A5> then | Under Validation
Uninstalled |  | Under Validation
TBD | if A7="TBD" or "TBD-CIO to review existing correspondence" | TBD
Upgraded to 5.9.1-329 |  | Under Validation
2024-04-30 00:00:00 | if A4<=15/07/2024 | in progress
2024-12-31 00:00:00 | if A4<=15/07/2024 | in progress
2024-11-30 00:00:00 | if A4<=15/07/2024 | in progress
2024-05-31 00:00:00 | if A4<=15/07/2024 | in progress
Decommissioned - CHG0418718 |  | Under Validation
2024-02-29 00:00:00 | if A4<=15/07/2024 | in progress
TBD-review existing correspondence | if A7="TBD" or "TBD-review existing correspondence" | TBD
Spreadsheet: a1463cc9-ce07-4072-a0df-bacd3565da9f
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | SWIM | T1 | BIKE | T2 | RUN | POSITION | TOTAL TIME
8545 | 60576 | [NAME] | Helt | USA | 47 | 00:19:36 | 00:09:04 | 00:42:32 | 00:01:33 | 00:22:19 | 1 | 01:35:07
Spreadsheet: 54d9976a-3d4a-44c0-9b21-0fcdee48a34e
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11 | Unnamed: 12 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8
 |  |  |  |  |  |  |  |  |  |  |  |  | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8
 |  |  |  |  |  |  |  |  | 第10表　親族人員（7区分）別一般世帯数，一般世帯人員及び親族人員（6歳未満・18歳未満親族のいる
 |  |  |  |  |  |  |  |  | 一般世帯－特掲） － 全国
 |  |  |  |  |  |  |  |  | Table10. Private Households, Household Members and Related Members, by Number of Related Members (7 Groups) - Japan
 |  |  |  |  |  |  | 地     　　　　域 |  |  |  |  |  | 総　　数 | 親族人員が  1 人 | 2 | 3 | 4 | 5 | 6 | 7 人以上
 |  |  |  |  |  |  | Area |  |  |  |  |  | Total | Related member |  |  |  |  |  | or more
 |  |  |  |  |  |  | 全　    　　　　　　国 |  |  |  | Japan
12 | 00000** |  |  |  | 1 |  |  | 一般世帯数 |  |  |  | (a) | 49062530 | 14725144 | 12802140 | 9181251 | 7689615 | 2842689 | 1203942 | 617749
12 | 00000** |  |  |  | 2 |  |  | 一般世帯人員 |  |  |  | (b) | 124973207 | 14999763 | 25653010 | 27573206 | 30771748 | 14221188 | 7227826 | 4526466
12 | 00000** |  |  |  | 3 |  |  | 親族人員 |  |  |  | (c) | 124592259 | 14725144 | 25604280 | 27543753 | 30758460 | 14213445 | 7223652 | 4523525
 |  |  |  |  |  |  | （再掲    Recount）
 |  |  |  |  |  |  |  | 6歳未満親族のいる一般世帯 |  |  |  | (d)
12 | 00000** |  |  |  | 4 |  |  |  | 世帯数 |  |  | (e) | 5171707 | 3 | 105271 | 1747042 | 1916630 | 767651 | 356395 | 278715
12 | 00000** |  |  |  | 5 |  |  |  | 世帯人員 |  |  | (f) | 21189924 | 4 | 212755 | 5244363 | 7669034 | 3840188 | 2139721 | 2083859
12 | 00000** |  |  |  | 6 |  |  |  | 6歳未満親族人員 |  |  | (g) | 6747793 | 3 | 105272 | 1774239 | 2814936 | 1113208 | 508434 | 431701
 |  |  |  |  |  |  |  | 18歳未満親族のいる一般世帯 |  |  |  | (h)
12 | 00000** |  |  |  | 7 |  |  |  | 世帯数 |  |  | (e) | 12403146 | 20259 | 477055 | 3386149 | 4832538 | 2111949 | 996522 | 578674
12 | 00000** |  |  |  | 8 |  |  |  | 世帯人員 |  |  | (f) | 51284197 | 20406 | 961850 | 10169172 | 19337042 | 10564583 | 5982298 | 4248846
12 | 00000** |  |  |  | 9 |  |  |  | 18歳未満親族人員 |  |  | (i) | 21211242 | 20259 | 477671 | 3760957 | 8678161 | 4613715 | 2155406 | 1505073
 |  |  |  |  |  |  |  | (a)   Number of private households |  |  |  |  |  |  | (f)   Household members
 |  |  |  |  |  |  |  | (b)   Private household members |  |  |  |  |  |  | (g)   Related members under 6 years of age
 |  |  |  |  |  |  |  | (c)   Related members |  |  |  |  |  |  | (h)   Private households with related members under 18 years of age
 |  |  |  |  |  |  |  | (d)   Private households with related members under 6 years of age |  |  |  |  |  |  | (i)   Related members under 18 years of age
 |  |  |  |  |  |  |  | (e)   Number of households
Spreadsheet: 166692d1341725724-sum-unique-values-according-to-criteria-sumif-unique-values-sumif_unique_values
Sheet: Sheet1

Product Type | Global sum
Product 1 | 2 |  |  | I am looking for a formula that given a condition (Product type), sums all the unique values on another column (Global sum)
Product 2 | 4
Product 1 | 2
Product 2 | 4 |  |  | Expected results from example data:
Product 3 | 4 |  |  | Sum all unique values in column B for Product 1 = 2+3 = 5
Product 1 | 3 |  |  | Sum all unique values in column B for Product 2 = 4+5 = 9
Product 2 | 5
Product 3 | 3
Product 1 | 3 |  |  | I tried the solution on another post that seemed to describe my problem, but it didn't work…
Product 2 | 5 |  |  | SUM(IF(ISNUMBER(1/FREQUENCY(IF(B2:B13<>"";IF(A2:A13<>"";MATCH(A2:A13;A2:A13;0)));ROW(A2:A13)-ROW(A2)+1));B2:B13))
Product 1 | 3 |  |  | [NAME] result :
Product 2 | 5
Product Type | Global sum | << Advanced Filter Criteria
 |  | << Make sure the Unique Box is checked
Product Type | Global sum |  |  | Pivot Table of the Unique Advanced Filter.
Product 1 | 2 | <<Advanced Filter |  | Row Labels | Sum of Global sum
Product 2 | 4 | Answer here |  | Product 1 | 5
Product 3 | 4 |  |  | Product 2 | 9
Product 1 | 3 |  |  | Product 3 | 7
Product 2 | 5 |  |  | Grand Total | 21
Product 3 | 3
Spreadsheet: 273984d1382977015-call-every-nth-cell-from-another-sheet-j5extract
Sheet: Sheet1

 |  |  |  |  |  |  |  |  | this is $J$5
 |  |  |  |  |  |  |  |  | this is $J$6
 |  |  |  |  |  |  |  |  | this is $J$7
 |  |  |  |  |  |  |  |  | this is $J$8
 |  |  |  |  |  |  |  |  | this is $J$9
 |  |  |  |  |  |  |  |  | this is $J$10
 |  |  |  |  |  |  |  |  | this is $J$11
 |  |  |  |  |  |  |  |  | this is $J$12
 |  |  |  |  |  |  |  |  | this is $J$13
 |  |  |  |  |  |  |  |  | this is $J$14
 |  |  |  |  |  |  |  |  | this is $J$15
 |  |  |  |  |  |  |  |  | this is $J$16
 |  |  |  |  |  |  |  |  | this is $J$17
 |  |  |  |  |  |  |  |  | this is $J$18
 |  |  |  |  |  |  |  |  | this is $J$19
 |  |  |  |  |  |  |  |  | this is $J$20
 |  |  |  |  |  |  |  |  | this is $[NAME]
 |  |  |  |  |  |  |  |  | this is $J$22
 |  |  |  |  |  |  |  |  | this is $J$23
 |  |  |  |  |  |  |  |  | this is $[NAME]
 |  |  |  |  |  |  |  |  | this is $J$25
 |  |  |  |  |  |  |  |  | this is $J$26
 |  |  |  |  |  |  |  |  | this is $J$27
 |  |  |  |  |  |  |  |  | this is $J$28
 |  |  |  |  |  |  |  |  | this is $J$29
 |  |  |  |  |  |  |  |  | this is $J$30
 |  |  |  |  |  |  |  |  | this is $J$31
 |  |  |  |  |  |  |  |  | this is $J$32
 |  |  |  |  |  |  |  |  | this is $J$33
 |  |  |  |  |  |  |  |  | this is $J$34
 |  |  |  |  |  |  |  |  | this is $J$35
 |  |  |  |  |  |  |  |  | this is $J$36
 |  |  |  |  |  |  |  |  | this is $J$37
 |  |  |  |  |  |  |  |  | this is $J$38
 |  |  |  |  |  |  |  |  | this is $J$39
 |  |  |  |  |  |  |  |  | this is $[NAME]
 |  |  |  |  |  |  |  |  | this is $[NAME]
 |  |  |  |  |  |  |  |  | this is $J$42
 |  |  |  |  |  |  |  |  | this is $J$43
Spreadsheet: 240926d1370452589-need-totals-in-child-tables-sheets-linked-into-parent-table-sheet-example
Sheet: MDP1

 | Panel Designation:
 |  |  |  |  |  | I created sheets 1A, 1B, and MDP2 by copying this sheet, then renamed them.... in the order they are arranged left to right.
 | Load | Column1 | Column2 | Column3 |  | Also deleted the two rows with descriptive text from 1A and 1B.
 | Lighting1 | 1 | 15 |  |  | Each sheet will have multiple Tables as in this example.
 | Lighting2 | 2 | 10
 | Lighting3 | 3 | 5
 | Lighting(1A) |  |  | I need Total of this column from subpanel 1A, i.e. sheet 1A.
 | Lighting(1B) |  |  | I need Total of this column from subpanel 1B, i.e. sheet 1B.
 |  | Total
 |  |  |  |  | <<< Reporting the Totals from other sheets outside the table is possibly a viable alternative.
 |  |  |  |  | <<< Reporting the Totals from other sheets outside the table is possibly a viable alternative.
 | Load | Column1 | Column2 | Column3
 | Lighting1 | 1 | 15
 | Lighting2 | 2 | 10
 | Lighting3 | 3 | 5
 | Lighting(1A) |  |  | I need Total of this column from subpanel 1A, i.e. sheet 1A.
 | Lighting(1B) |  |  | I need Total of this column from subpanel 1B, i.e. sheet 1B.
 |  | Total
 |  |  |  |  | <<< Reporting the Totals from other sheets outside the table is possibly a viable alternative.
 |  |  |  |  | <<< Reporting the Totals from other sheets outside the table is possibly a viable alternative.
 | Load | Column1 | Column2 | Column3
 | Lighting1 | 1 | 15
 | Lighting2 | 2 | 10
 | Lighting3 | 3 | 5
 | Lighting(1A) |  |  | I need Total of this column from subpanel 1A, i.e. sheet 1A.
 | Lighting(1B) |  |  | I need Total of this column from subpanel 1B, i.e. sheet 1B.
 |  | Total
 |  |  |  |  | <<< Reporting the Totals from other sheets outside the table is possibly a viable alternative.
 |  |  |  |  | <<< Reporting the Totals from other sheets outside the table is possibly a viable alternative.
Spreadsheet: 286595d1388398871-how-can-i-get-column-a-to-identify-the-item-number-by-the-first-6-characters-exercise
Sheet: Sheet1

Fruit | Item Number
Bananna | GW30BF0000001
Pear | GW37VS0000002
Orange | GW14SO0000003
Apple | GW20SM0000004
Grape | GW30AA0000005
Coconut | GW65XM0000006
Bananna | GW30BF0000007
Pear | GW37VS0000008
Orange | GW14SO0000009
Apple | GW20SM0000010
Grape | GW30AA0000011
Coconut | GW65XM0000012
How can I get column A to identify the item number by the first 6 characters. Example GW30BF, [NAME],etc
Spreadsheet: 832795d1686591177-recurring-values-on-specific-dates-across-worksheets-forum-example
Sheet: January

 |  |  |  |  | Year |  | 2023
 |  |  |  |  | Month |  | 1
 |  |  |  |  | Monthly Total: |  |  |  |  | Running Yearly Total
 | Thu |  | Fri |  | Sat |  | Sun |  | Mon |  | Tue |  | Wed |  | Weekly Totals
 |  |  |  | 9 |  |  | car | 580 | blank | 0 | blank | 0 | blank | 0
 |  |  |  |  |  |  | blank | 0 | blank | 0 | blank | 0 | blank | 0
 |  |  |  |  |  |  | blank | 0 | blank | 0 | blank | 0 | blank | 0
 |  |  |  |  |  |  | blank | 0 | blank | 0 | blank | 0 | blank | 0
 |  |  |  |  |  |  | blank | 0 | blank | 0 | blank | 0 | blank | 0
 | Thu |  | Fri |  | Sat |  | Sun |  | Mon |  | Tue |  | Wed |  | Weekly Totals
 |  | 0 | blank | 0 | blank | 0 | blank | 0 | blank | 0 | blank | 0 | blank | 0
 | blank | 0 | blank | 0 | blank | 0 | blank | 0 | blank | 0 | blank | 0 | blank | 0
 | blank | 0 | blank | 0 | blank | 0 | blank | 0 | blank | 0 | blank | 0 | blank | 0
 | blank | 0 | blank | 0 | blank | 0 | blank | 0 | blank | 0 | blank | 0 | blank | 0
 | blank | 0 | blank | 0 | blank | 0 | blank | 0 | blank | 0 | blank | 0 | blank | 0
Spreadsheet: 851712d1701877805-calculating-movement-between-stages-for-loans-helpstages-1-
Sheet: Sheet1

Starting point |  |  |  |  |  | Needed end result
name | stage | loan value | date |  |  | stage 1 to 2 | stage 1 to 3 | stage 2 to 2 (stays the same)
A | 1 | 55 | 2000-01-31 00:00:00 |  |  |  |  |  |  |  | I need sum of all the numbers that meet each above criteria
B | 1 | 150 | 2000-01-31 00:00:00 |  |  |  |  |  |  |  | PPP and QQQ should not be added to any sum
C | 2 | 70 | 2000-01-31 00:00:00
D | 1 | 200 | 2000-01-31 00:00:00
E | 1 | 500 | 2000-01-31 00:00:00
PPP | 2 | 150 | 2000-01-31 00:00:00
A | 2 | 50 | 2000-02-28 00:00:00
B | 3 | 140 | 2000-02-28 00:00:00
C | 2 | 60 | 2000-02-28 00:00:00
D | 2 | 190 | 2000-02-28 00:00:00
E | 3 | 350 | 2000-02-28 00:00:00
QQQ | 3 | 70 | 2000-02-28 00:00:00
Spreadsheet: 30f62029-1a33-4e69-a759-7504375a14a5
Sheet: Sheet1

BOYS 4 X 100 RELAY | Unnamed: 1 | Unnamed: 2 | Unnamed: 3
TEAM | Time | [NAME] | Pts
Hallsville | 46.97 | 3 | 6
[NAME] | 50.19 | 5 | 4
Southern Boone | 46.5 | 2 | 8
Mexico | 46.44 | 1 | 10
Van Far | 48.68 | 4 | 5
MMA | 52.78 | 6 | 3
Spreadsheet: 886085d1736081883-get-data-if-the-month-is-less-than-the-month-and-mentioned-above-book2
Sheet: Sheet2

Confirmation code | Status | Guest name | # of adults | # of children | # of infants | Start date | End date | # of nights | Booked | Listing
HMHDHANNHP | Confirmed | [NAME] | 1 | 0 | 0 | 7/19/2025 | 8/23/2025 | 35 | 45529 | 5mins walk to BTS Thonglor; 1 bed fully furnished
HMBWPW9TDP | Trip change requested | [NAME] | 1 | 0 | 0 | 2025-11-02 00:00:00 | 2025-11-03 00:00:00 | 28 | 45519 | 5mins walk to BTS Thonglor; 1 bed fully furnished
HM8HJHMSHQ | Confirmed | [NAME] | 2 | 0 | 0 | 1/19/2025 | 2025-09-02 00:00:00 | 21 | 45621 | 5 mins to BTS Ekkamai, One Bed Fully-Furnished
HMNDNJTZAQ | Confirmed | Egor Bondarevskii | 5 | 0 | 0 | 2025-11-01 00:00:00 | 2025-09-02 00:00:00 | 29 | 45652 | Thonglor 3 Bed Fully Furnished
HMPBCN2AAD | Confirmed | [NAME] GÃ¼elfo | 2 | 0 | 0 | 2025-11-01 00:00:00 | 2025-09-02 00:00:00 | 29 | 45475 | 5mins walk to BTS Thonglor; 1 bed fully furnished
HM9DSDN8EB | Confirmed | [NAME] | 2 | 0 | 0 | 2025-07-01 00:00:00 | 2025-08-03 00:00:00 | 60 | 45330 | 5-Mins walk to BTS Thonglor, Skyline One Bedroom
HMWZJMQHEA | Confirmed | [NAME] | 1 | 0 | 0 | 2025-07-01 00:00:00 | 2025-06-02 00:00:00 | 30 | 45510 | 7mins walk to BTS Thonglor; easy access 1-bedroom
HM3TTZKD3Y | Currently hosting | [NAME] | 2 | 0 | 0 | 2025-01-01 00:00:00 | 2025-09-02 00:00:00 | 39 | 45650 | 2 Bed Fully Furnished - Thonglor
HMPPXTEY2K | Currently hosting | [NAME] | 2 | 0 | 0 | 12/28/2024 | 1/23/2025 | 26 | 45648 | 2 Bed Fully Furnished Thonglor
HMRZ8AKP8Z | Currently hosting | [NAME] | 4 | 0 | 0 | 12/22/2024 | 1/19/2025 | 28 | 45647 | 2 Bed Fully Furnished Thonglor
HM2KMWTNCF | Currently hosting | [NAME] | 1 | 0 | 0 | 12/21/2024 | 1/19/2025 | 29 | 45646 | 2 Bed Fully Furnished Thonglor
HMYEDJYEQY | Currently hosting | Nacima May | 2 | 0 | 0 | 12/21/2024 | 1/14/2025 | 24 | 45646 | 2 Bed Fully Furnished Thonglor
HME5DT349E | Awaiting guest review | [NAME] | 1 | 0 | 0 | 2024-06-12 00:00:00 | 2025-05-01 00:00:00 | 30 | 45445 | 5mins walk to BTS Thonglor; 1 bed fully furnished
HMFQK5KFYA | Currently hosting | [NAME] | 2 | 0 | 0 | 11/13/2024 | 2025-11-01 00:00:00 | 59 | 45559 | 5 mins to BTS Ekkamai, One Bed Fully-Furnished
Spreadsheet: 025cde29-0f28-41be-a5a9-3eba19b31a53
Sheet: Sheet1

WFDF WORLD ULTIMATE CHAMPIONSHIP EVENT BUDGET | Unnamed: 1 | Unnamed: 2 | Unnamed: 3
Instructions
Please use this budget as a guideline for putting together your budget as part of you bid to host a WFDF Championship event.  Although you won't know all costs at this time, this will help WFDF when evaulating bids and selecting the best possible host.  If your bid is selected, you can build upon this budget as you plan the event.  Feel free to adjust or add to the headings as needed for your particular event and situation.  If you have any questions, please contact WFDF.
Background Information
Competitors |  | # of Teams | # of Players
 | Ultimate
 | -Open
 | -Women
 | -Mixed
 | -Masters
 | -Junior Open
 | -Junior Women's
 | Guts
Other |  | Total
 | Guests
 | Volunteers
 | Staff
Event Fees |  | Amount
 | Per Player
 | Per Team
 | Per Guest
WFDF Fee Structure |  | Fee (per player) USD
 | WUGC and WUCC | $30,00
 | WJUC and WU23C | 15
 | Regional Championships | 10
Spreadsheet: 93839d1293623269-charts-data-from-different-sheets-example
Sheet: November

2010-11-01 00:00:00 | 6.77
2010-11-02 00:00:00 | 6.86
2010-11-03 00:00:00 | 6.95
2010-11-04 00:00:00 | 7.08
2010-11-05 00:00:00 | 7.25
2010-11-06 00:00:00 | 7.35
2010-11-07 00:00:00 | 7.5
2010-11-08 00:00:00 | 7.66
2010-11-09 00:00:00 | 7.81
2010-11-10 00:00:00 | 7.9
2010-11-11 00:00:00 | 7.99
2010-11-12 00:00:00 | 8.1
2010-11-13 00:00:00 | 8.22
2010-11-14 00:00:00 | 8.33
2010-11-15 00:00:00 | 8.43
2010-11-16 00:00:00 | 8.56
2010-11-17 00:00:00 | 8.67
2010-11-18 00:00:00 | 8.75
2010-11-19 00:00:00 | 8.89
2010-11-20 00:00:00 | 9.03
2010-11-21 00:00:00 | 9.14
2010-11-22 00:00:00 | 9.24
2010-11-23 00:00:00 | 9.35
2010-11-24 00:00:00 | 9.49
2010-11-25 00:00:00 | 9.66
2010-11-26 00:00:00 | 9.78
2010-11-27 00:00:00 | 9.95
2010-11-28 00:00:00 | 10.1
2010-11-29 00:00:00 | 10.27
2010-11-30 00:00:00 | 10.49
Average
Spreadsheet: 833484d1687005695-hide-used-items-in-drop-down-list-sample-chart
Sheet: Sheet1

BLOOD | NAME | AGE | GENDER |  |  |  | SUPPORT | SUPPORT | NAME
A | [NAME] | 18 | Male
B | [NAME] | 22 | Female
O | [NAME] | 32 | Female
AB | [NAME] | 23 | Male
O | [NAME] | 11 | Male
B | [NAME] | 25 | Male
AB | [NAME] | 24 | Male
O | [NAME] | 23 | Female
B | Drake | 22 | Female
O | [NAME] | 11 | Female