tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: andy_zipper__231__Global_Prod 5-31-01 EM
Sheet: Not Available on 5-31-01

Global Products that were not made available on
but were available on
Global Product Short Desc.
[NAME] FOB              Jul-Sep01       USD/mt
Credit Dflt Swap Enel SpA                5 Years         bpa/USDm
Credit Dflt Swap Iberdrola               5 Years         bpa/USDm
Credit Dflt Swap Nokia OYJ               3 Years         bpa/USDm
Credit Dflt Swap RWE AG                  5 Years         bpa/USDm
Credit Dflt Swap Vattenfall              5 Years         bpa/USDm
[NAME] ARA                 Apr-Jun02       EUR/mt
[NAME] ARA                 Jan-Mar02       EUR/mt
[NAME] ARA                 Jul-Sep01       EUR/mt
[NAME] ARA                 Jul-Sep02       EUR/mt
[NAME] ARA                 Oct-Dec01       EUR/mt
[NAME] ARA                 Oct-Dec02       EUR/mt
For Curr Exch    Forward                 01Jun01         JPY/USD
For Curr Exch    Forward                 01Jun01         USD/EUR
For Curr Exch    Forward                 01Jun01         USD/GBP
For Curr LME     LME (Spot)              01Jun01         JPY/USD
For Curr LME     LME (Spot)              01Jun01         USD/EUR
For Curr LME     LME (Spot)              01Jun01         USD/GBP
Foreign Currency Reuters BOFC            30May01         CAD/USD
US Crude Fin Opt NYMEX WTI    EC28.5     Jul01           USD/bl/m
US Crude Fin Opt NYMEX WTI    EC29.0     Jul01           USD/bl/m
US Crude Fin Opt NYMEX WTI    EC29.5     Jul01           USD/bl/m
US Crude Fin Opt NYMEX WTI    EC30.0     Jul01           USD/bl/m
US Crude Fin Opt NYMEX WTI    EC30.5     Jul01           USD/bl/m
US Crude Fin Opt NYMEX WTI    EC31.0     Jul01           USD/bl/m
US Crude Fin Opt NYMEX WTI    EC31.5     Jul01           USD/bl/m
US Crude Fin Opt NYMEX WTI    EC32.0     Jul01           USD/bl/m
US Crude Fin Opt NYMEX WTI    EP26.5     Jul01           USD/bl/m
US Crude Fin Opt NYMEX WTI    EP27.0     Jul01           USD/bl/m
US Crude Fin Opt NYMEX WTI    EP27.5     Jul01           USD/bl/m
US Crude Fin Opt NYMEX WTI    EP28.0     Jul01           USD/bl/m
US Crude Fin Opt NYMEX WTI    EP28.5     Jul01           USD/bl/m
US Crude Fin Opt NYMEX WTI    EP29.0     Jul01           USD/bl/m
US Crude Fin Opt NYMEX WTI    EP29.5     Jul01           USD/bl/m
US HeatOil2 Swap Nymex NX2               Jun01           c/Gl-b
US HeatOil2 Swap TAS/NX2                 Jun01           c/Gl-b
US PuEthane Phy  MB Dia                  May01           c/Gl-b
US [NAME]Nymex NX2               Jun01           c/Gl-b
US [NAME]  TAS/NX2                 Jun01           c/Gl-b
US Wthr CDD Swap SAC 100/20K             May-Sep01       USD/CDD
Spreadsheet: 808905d1670753149-filter-function-how-to-condense-the-include-argument-include-argument-of-the-filter-function
Sheet: Sheet1

All Items | Tree | [NAME] | <- Drop-Down Box
[NAME] | Plant
Bowl | Tree
Bus | Cat
Cat | Plant
Chair | Rabbit
Honey | Jacket
Jacket | Bus
Key | Plant
Orange | Orange
Pants | Rabbit
Plant | Cat
Rabbit | Chair
Table | Orange
Tree | Orange
 | Key
 | Orange
 | Pants
 | Chair
 | Rabbit
 | Rabbit
 | Cat
 | Rabbit
 | Table
 | Key
Spreadsheet: 792845d1661185276-extract-value-from-top-row-table
Sheet: Sheet1

 |  |  |  |  |  |  |  |  |  |  | LETTER | NUMBER | RESULT
 |  |  | A | B | C | D | E |  |  |  | C | 2 |  | NEED TO BE D
 |  | A | 1 | 2 | 3 | 4 | 5 |  |  |  | D | 5 |  | NEED TO BE C
 |  | B | 5 | 1 | 2 | 3 | 4 |  |  |  | A | 1 |  | NEED TO BE A
 |  | C | 4 | 5 | 1 | 2 | 3
 |  | D | 3 | 4 | 5 | 1 | 2
 |  | E | 2 | 3 | 4 | 5 | 1
Spreadsheet: 890021d1741133737-trying-to-get-pages-to-update-2025-wr-log
Sheet: Quarterly

Start Date: | 2025-01-01 00:00:00
End Date: | 2025-03-31 00:00:00
Status | Clean Sweep | Delivery | Recycling | Material Handling | E-Waste | RA | Excess Furniture | Excess Equipment | Setup | Work Requests | Percentage |  | To/ From | Trips | [NAME] | Hours | Trips | [NAME] | Hours | Trips | [NAME] | Hours
In-Progress |  |  |  |  |  |  |  |  |  |  |  |  | 2nd Street-Globe
Closed On-Time |  |  |  |  |  |  |  |  |  |  |  |  | 2nd Street-Granite City
Closed Late (Alibied) |  |  |  |  |  |  |  |  |  |  |  |  | 2nd Street-N2W
Closed Late (Not Alibied) |  |  |  |  |  |  |  |  |  |  |  |  | 2nd Street-Other
Cancelled |  |  |  |  |  |  |  |  |  |  |  |  | Arnold-2nd Street
Total |  |  |  |  |  |  |  |  |  |  |  |  | [NAME]
 |  |  |  |  |  |  |  |  |  |  |  |  | [NAME]
 |  |  |  |  |  |  |  |  |  |  |  |  | [NAME]
 |  |  |  |  |  |  |  |  |  |  |  |  | [NAME]
 |  |  |  |  |  |  |  |  |  |  |  |  | Globe-Granite
 |  |  |  |  |  |  |  |  |  |  |  |  | Globe-Scott AFB
 |  |  |  |  |  |  |  |  |  |  |  |  | Granite-Other
 |  |  |  |  |  |  |  |  |  |  |  |  | Granite-Scott AFB
 |  |  |  |  |  |  |  |  |  |  |  |  | Other-Arn/2nd
 |  |  |  |  |  |  |  |  |  |  |  |  | Other-Other
 |  |  |  |  |  |  |  |  |  |  |  |  | Total
Spreadsheet: 874505d1721117996-paste-a-text-file-in-excel-to-draw-totals-to-correct-place-and-category-work-sheet
Sheet: Sheet1

 | NORTH |  |  | NORTH WEST |  |  | SOUTH |  |  | SOUTH WEST |  |  | SOUTH SOUTH WEST
 | CODE | TOTAL |  | CODE | TOTAL |  | CODE | TOTAL |  | CODE | TOTAL |  | CODE | TOTAL
 | FC1011 | 12 |  | FC1011 |  |  | FC1011 |  |  | FC1011 |  |  | FC1011
 | FC1021 | 50 |  | FC1021 |  |  | FC1021 |  |  | FC1021 |  |  | FC1021
 | FC1031 | 33 |  | FC1031 |  |  | FC1031 |  |  | FC1031 |  |  | FC1031
 | FC1041 | 0 |  | FC1041 |  |  | FC1041 |  |  | FC1041 |  |  | FC1041
 | NC1051 | 360 |  | NC1051 |  |  | NC1051 |  |  | NC1051 |  |  | NC1051
 | VC1061) | 4 |  | VC1061) |  |  | VC1061) |  |  | VC1061) |  |  | VC1061)
 | VC1071 | 39 |  | VC1071 |  |  | VC1071 |  |  | VC1071 |  |  | VC1071
 | 0001 | 220 |  | 0001 |  |  | 0001 |  |  | 0001 |  |  | 0001
 | 0002 | 99 |  | 0002 |  |  | 0002 |  |  | 0002 |  |  | 0002
 | 110003 | 72 |  | 110003 |  |  | 110003 |  |  | 110003 |  |  | 110003
 | 120004 | 54 |  | 120004 |  |  | 120004 |  |  | 120004 |  |  | 120004
 | I HAVE A PRINT REPORT IN TEXT FORMAT THAT I WANT TO PASTE INTO AN EXCEL SHEET.
 | CAN A FORMULA HELP TO DRAW THE TOTALS FOR EVERY CODE ACCORDING TO THE AREA INTO ITS OWN COLUMNS?
Spreadsheet: 743646d1628647438-conditional-formatting-cell-if-value-exists-on-another-table-with-the-same-column-header-conditional-formatting-help-example
Sheet: Lookup Values

Animal | Vegetable | Mineral | Soda
Carrot | Gold | Coke | Dog
Potato | Silver | Pepsi | Cat
[NAME] | Platinum | [NAME] | Pig
Celery | Lead | [NAME] | Horse
Spreadsheet: 117691d1312968765-advanced-formula-for-linking-values-in-two-sheets-differ-under-conditions-help_request
Sheet: Vacations

2011 | Person | Role | Days of vacations in month
 |  |  | August | September | October | November | December
 | [NAME] | D | 10 |  |  | 1 | 5
 | [NAME] |  |  |  | 5 |  | 2
 | [NAME] | Tester | 10 | 3 |  | 2 | 2
 | [NAME] | Tester |  |  |  |  | 2
 | Eva Poland |  | 12 |  | 2 |  | 3
 | [NAME] |  | 8 |  | 1 |  | 3
 | [NAME] | Tester | 6 |  |  | 5 | 3
 | [NAME] | Tester | 1 |  |  |  | 8
Spreadsheet: 220306d1363116295-conditional-sum-ifs-help-please-name100v1
Sheet: Sheet1

Name1 | [NAME] | TotalCount | Name1>100&Name2<25 | [NAME] | Min of Name1>100&Name2<25 | Min of Name1<100&Name2<25
X1 | Y1 | 8 | 0 | 1 | 0 | 1
X2 | Y2 | 38 | 0 | 0 | 0 | 0
X3 | Y3 | 2 | 0 | 1 | 0 | 1
X4 | Y4 | 29 | 0 | 0 | 0 | 0
X4 | Y5 | 18 | 0 | 1 | 0 | 0
X4 | Y6 | 7 | 0 | 1 | 0 | 1
X4 | Y7 | 10 | 0 | 1 | 0 | 0
X5 | [NAME] | 4 | 1 | 0 | 0 | 0
X5 | Y9 | 80 | 0 | 0 | 0 | 0
X5 | Y10 | 32 | 0 | 0 | 0 | 0
X5 | Y11 | 93 | 0 | 0 | 1 | 0
X6 | Y12 | 54 | 0 | 0 | 0 | 0
X6 | Y13 | 22 | 1 | 0 | 1 | 0
X6 | Y14 | 68 | 0 | 0 | 0 | 0
X7 | Y15 | 6 | 1 | 0 | 1 | 0
X7 | Y16 | 9 | 1 | 0 | 0 | 0
X7 | Y17 | 100 | 0 | 0 | 0 | 0
X8 | Y18 | 3 | 0 | 1 | 0 | 1
Total
Spreadsheet: 7b97ea4a-4138-452d-aed2-a1d764ae98ac
Sheet: Sheet1

Prob 3-3 | Unnamed: 1 | 780000 | Unnamed: 3 | Unnamed: 4
 |  | 50000
 |  | -Div
 |  | 810000
Prob 3-5 |  | 212300000
 |  | +Net Inc
 |  | -22500000
 |  | 278900000
Prob 3-7a | NWC07 | 44000
 | NWC08 | 53725
b | FCF | 10675 |  | [NAME] ex. = Change in Net Fixed Asset + Depr
 |  |  |  | [NAME] ex = 8000
c |  | Stmt of Stockholder's Equity Includes Common Equity with Retained Earnings
Prob 3-9a |  | Ret Ern 07
 |  | +372
 |  | -146
 |  | 1600
b |  | 1600
c |  | 15
d |  | 620
Spreadsheet: 599428d1543065025-average-function-with-if-ak-sample-2-
Sheet: Sheet3

 |  |  |  | Main Entries
 |  | AVERAGE
 |  |  |  |  |  |  | 164 | 82 | 169 | 77 | 177 | 75
 |  |  |  |  |  |  | 154 | 58 | 185 | 33 | 45 | 21
 |  |  | I would also like to be rid of the unwanted #DIV
Spreadsheet: 815117d1674750869-multiple-selections-for-index-match-weekly-ytd-ad-spend_vwip2-1-
Sheet: Summary

Campaign | Oncology Awareness Global
Date Range | 2023-01-01 00:00:00 | to | 2023-01-24 00:00:00
 |  |  |  |  |  |  | Expected For General Awareness Campaign |  |  |  | Expected For IBD Awareness Campaign
Platform | Spent | Impressions | CTR | Clicks | CPC |  | Spent | Impressions | Clicks |  | Spent | Impressions | Clicks
Google Ads Awareness
Google [NAME]
Google Ads Jobs
LinkedIn Awareness Static
LinkedIn Awareness Spotlight
LinkedIn Awareness Text |  |  |  |  |  |  |  |  |  |  |  |  | 1
LinkedIn Awareness Video
LinkedIn Awareness Carousel
LinkedIn Conferences Static
LinkedIn (Conferences Video)
LinkedIn Lead Gen
LinkedIn Jobs
LinkedIn Boosted Organic
Programmatic
Spreadsheet: 86dd6f2c-47a2-4816-adb1-b5cb9a9ed561
Sheet: Sheet1

Unnamed: 0 | US Municipal Bond Issuance | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7
 | Table | Description | Time Period | Currency | Value | Last Value | Last Updated
 | 1.1. | US Municipal Issuance, Bond (Go/Revenue), Bid (Competitive/Negotiated), and Coupon Type | A, M | USD | Billions | Nov 2013 | 2013-12-02 00:00:00
 | 1.2. | US Municipal Issuance, Callable and Noncallable | A, M | USD | Billions | Nov 2013 | 2013-12-02 00:00:00
 | 1.3. | US Municipal Issuance, New Capital & Refunding | A, M | USD | Billions | Nov 2013 | 2013-12-02 00:00:00
 | 1.4. | US Municipal Issuance, Average Maturity | A, M |  | Years | Nov 2013 | 2013-12-02 00:00:00
 | 2.1. | FAQ |  |  |  |  | 2012-07-12 00:00:00
 | Contact
 | [NAME] | [EMAIL]
 | All data are subject to revision.
 | The Securities Industry and Financial Markets Association (SIFMA) prepared this material for informational purposes only. [NAME] obtained this information from multiple sources believed to be reliable as of the date of publication; SIFMA, however, makes no representations as to the accuracy or completeness of such third party information. SIFMA has no obligation to update, modify or amend this information or to otherwise notify a reader thereof in the event that any such information becomes outdated, inaccurate, or incomplete.
 | The Securities Industry and Financial Markets Association (SIFMA) brings together the shared interests of hundreds of securities firms, banks and asset managers. [NAME]'s mission is to support a strong financial industry, investor opportunity, capital formation, job creation and economic growth, while building trust and confidence in the financial markets. SIFMA, with offices in New York and Washington, D.C., is the U.S. regional member of the Global Financial Markets Association (GFMA). For more information, visit www.sifma.org.
 | FAQ
 | Issuance
 | Note: | Average maturity is based on issuance, rather than outstanding, volumes.
 | Source: | Thomson Reuters
Spreadsheet: 263577d1378542034-excel-2003-display-results-of-inventory-overall_inventory
Sheet: data

Item | Size | New | Used/worn | Total | Issued | In Stock
Trousers | 30 / Short | 5 | 0 | 5 | 0 | 5
Trousers | 30 / Reg | 0 | 0 | 0 | 0 | 0
Trousers | 30 / Tall | 0 | 0 | 0 | 0 | 0
Trousers | 32 / Short | 0 | 0 | 0 | 0 | 0
Trousers | 32 / Reg | 0 | 0 | 0 | 0 | 0
Trousers | 32/ / Tall | 0 | 0 | 0 | 0 | 0
Trousers | 34 / Short | 11 | 0 | 11 | 0 | 11
Trousers | 34 / Reg | 8 | 0 | 8 | 0 | 8
Trousers | 34 / Tall | 10 | 0 | 10 | 0 | 10
Trousers | 36 / Short | 7 | 0 | 7 | 0 | 7
Trousers | 36 / Reg | 7 | 0 | 7 | 0 | 7
Trousers | 36 / Reg | 2 | 1 | 3 | 0 | 3
Trousers | 38 / Short | 0 | 0 | 0 | 0 | 0
Trousers | 38 / Reg | 1 | 1 | 2 | 1 | 1
Trousers | 38 / Tall | 11 | 1 | 12 | 1 | 11
Trousers | 40 / Short | 5 | 0 | 5 | 1 | 4
Trousers | 40 / Reg | 0 | 0 | 0 | 0 | 0
Trousers | 40 / Tall | 0 | 0 | 0 | 0 | 0
Trousers | 42 / Short | 5 | 0 | 5 | 0 | 5
Trousers | 42 / Reg | 0 | 0 | 0 | 0 | 0
Trousers | 42 / Tall | 0 | 0 | 0 | 0 | 0
Trousers | 44 / Short | 0 | 0 | 0 | 0 | 0
Trousers | 44 / Reg | 6 | 0 | 6 | 0 | 6
Trousers | 44 / Tall | 0 | 0 | 0 | 0 | 0
Trousers | 46 / Short | 3 | 0 | 3 | 0 | 3
Trousers | 46 / Reg | 0 | 0 | 0 | 0 | 0
Trousers | 46 / Tall | 0 | 0 | 0 | 0 | 0
Jackets | SML / Short | 1 | 0 | 1 | 0 | 1
Jackets | SML / Reg | 0 | 0 | 0 | 0 | 0
Jackets | SML / Tall | 0 | 0 | 0 | 0 | 0
Jackets | MED / Short | 0 | 0 | 0 | 0 | 0
Jackets | MED / Reg | 1 | 0 | 1 | 0 | 1
Jackets | Med / Tall | 1 | 0 | 1 | 0 | 1
Jackets | LGE / Short | ? | 0 | 0 | 0 | 0
Jackets | LGE / Reg | 13 | 1 | 14 | 0 | 14
Jackets | LGE/ Tall | 12 | 0 | 12 | 0 | 12
Jackets | XL / Short | 1 | 0 | 1 | 0 | 1
Jackets | XL / Reg | 23 | 0 | 23 | 0 | 23
Jackets | XL / Tall | 7 | 0 | 7 | 0 | 7
Jackets | XXL / Short | 13 | 0 | 13 | 0 | 13
Jackets | XXL / Reg | 6 | 0 | 6 | 0 | 6
Jackets | XXL / Tall | 0 | 0 | 0 | 0 | 0
Jackets | XXXL / Short | 0 | 0 | 0 | 0 | 0
Jackets | XXXL / Reg | 0 | 0 | 0 | 0 | 0
Jackets | XXXL / Tall | 3 | 0 | 3 | 0 | 3
Jackets | XXXXL / Short | 0 | 0 | 0 | 0 | 0
Jackets | XXXXL / Reg | 0 | 0 | 0 | 0 | 0
Jackets | XXXXL / Tall | 4 | 0 | 4 | 0 | 4
Dustcoats/Chesters | SML | 2 | 0 | 2 | 0 | 2
Dustcoats/Chesters | MED | 0 | 0 | 0 | 0 | 0
Dustcoats/Chesters | LGE / Reg | 5 | 0 | 5 | 0 | 5
Dustcoats/Chesters | XLG / Reg | 3 | 1 | 4 | 0 | 4
Boiler Suits | SML | 4 | 0 | 4 | 0 | 4
Boiler Suits | MED / Short | 2 | 0 | 2 | 0 | 2
Boiler Suits | MED / Reg | 3 | 0 | 3 | 0 | 3
Boiler Suits | LGE | 12 | 0 | 12 | 0 | 12
Boiler Suits | LGE / Tall | 6 | 0 | 6 | 0 | 6
Boiler Suits | XLG | 4 | 0 | 4 | 0 | 4
Boiler Suits | XLG / Tall | 6 | 0 | 6 | 0 | 6
Boiler Suits | XXL | 4 | 0 | 4 | 0 | 4
Boiler Suits | XXXXL | 4 | 0 | 4 | 0 | 4
Boiler Suits | MED / Proban | 1 | 0 | 1 | 0 | 1
Bib and Brace | SML | 2 | 0 | 2 | 0 | 2
Bib and Brace | MED | 8 | 0 | 8 | 0 | 8
Bib and Brace | LRG | 6 | 0 | 6 | 0 | 6
Bib and Brace | XXL | 2 | 0 | 2 | 0 | 2
Spreadsheet: 882386d1730772020-find-the-most-recent-entry-in-a-table-sample
Sheet: PP Dates

PP | Start Date | End Date
21-2024 | 16/10/2024 | 31/10/2024
22-2024 | 01/11/2024 | 15/11/2024
23-2024 | 16/11/2024 | 30/11/2024
24-2024 | 01/12/2024 | 15/12/2024
01-2025 | 16/12/2024 | 31/12/2024
02-2025 | 01/01/2025 | 15/01/2025
03-2025 | 16/01/2025 | 31/01/2025
04-2025 | 01/02/2025 | 15/02/2025
05-2025 | 16/02/2025 | 28/02/2025
06-2025 | 01/03/2025 | 15/03/2025
07-2025 | 16/03/2025 | 31/03/2025
08-2025 | [NAME] | 15/04/2025
09-2025 | 16/04/2025 | 30/04/2025
10-2025 | 01/05/2025 | 15/05/2025
11-2025 | 16/05/2025 | 31/05/2025
12-2025 | 01/06/2025 | 15/06/2025
13-2025 | 16/06/2025 | 30/06/2025
14-2025 | 01/07/2025 | 15/07/2025
15-2025 | 16/07/2025 | 31/07/2025
16-2025 | 01/08/2025 | 15/08/2025
17-2025 | 16/08/2025 | 31/08/2025
18-2025 | 01/09/2025 | 15/09/2025
19-2025 | 16/09/2025 | 30/09/2025
20-2025 | 01/10/2025 | 15/10/2025
21-2025 | 16/10/2025 | 31/10/2025
22-2025 | 01/11/2025 | 15/11/2025
23-2025 | 16/11/2025 | 30/11/2025
24-2025 | 01/12/2025 | 15/12/2025
01-2026
02-2026
03-2026
04-2026
05-2026
06-2026
07-2026
08-2026
09-2026
10-2026
11-2026
12-2026
13-2026
14-2026
15-2026
16-2026
17-2026
18-2026
19-2026
20-2026
21-2026
22-2026
23-2026
24-2026
Spreadsheet: rick_buy__32935__Tab 9
Sheet: Sheet2

 | 20141 | 17136 | 18718 | 19934 | 22559 | 25574 | 28176 | 31010 | 24964 | 21296 | 18652 | 20462
 | 0.8997476007177372
 | 0.7655069205053942
 | 0.8361787195389804
 | 0.8905004057746573
 | 1.007765559038351
 | 1.14245296364408
 | 1.258690650802987
 | 1.385292343888438
 | 1.115202775647564
 | 0.9513442681537625
 | 0.8332303385426361
 | 0.9140874537454117
1 | 37539
2 | 35634
3 | 33878
4 | 33637
5 | 33149
6 | 33807
7 | 35624
8 | 36393
9 | 38598
10 | 41598
11 | 44557
12 | 46742
13 | 48860
14 | 50565
15 | 52553
16 | 52528
17 | 53425
18 | 52544
19 | 52437
20 | 49847
21 | 48094
22 | 47107
23 | 44455
24 | 41325
Spreadsheet: e08bdd9c-70d6-46de-acda-2c2c2e733c88
Sheet: Sheet1

PROG ID | ATHLETE ID | TEAM FIRST | TEAM LAST | NATIONALITY | START NUMBER | LEG 1 | LEG 2 | LEG 3 | LEG 4 | POSITION | TOTAL TIME
7122 | 11445 | Team I | Russia | RUS | 0 | 00:27:35 | 00:00:00 | [NAME] | 00:00:00 | 1 | 01:26:47
Spreadsheet: 737369d1624374356-rotating-schedule-with-multiple-criteria-cps-2
Sheet: Rotation

[NAME]
Year |  |  | Month |  |  |  |  |  |  |  |  |  | Shift Schedule |  |  |  |  |  |  | C | B | I
2021 |  |  | 7
Non Working Days |  |  | Start Day |  |  |  |  |  |  |  |  |  |  |  | Starting | 2021-07-01 00:00:00
Saturday, Sunday |  |  | 1
 |  |  | CPS Rotation Schedule
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | [42]
TD
MM
TC
TB
RH
JM
BI
MD
Non Working Days |  | Code | Weekend1 | Weekend2
None |  | 0000000 | 0 | 0
Holidays only |  | 0000000 | 0 | 0
Saturday, Sunday |  | 1 | 7 | 1
Sunday, Monday |  | 2 | 1 | 2
Monday, Tuesday |  | 3 | 2 | 3
Tuesday, Wednesday |  | 4 | 3 | 4
Wednesday, Thursday |  | 5 | 4 | 5
Thursday, Friday |  | 6 | 5 | 6
Friday, Saturday |  | 7 | 6 | 7
Sunday only |  | 11 | 1 | 0
Monday only |  | 12 | 2 | 0
Tuesday only |  | 13 | 3 | 0
Tuesday only |  | 13 | 4 | 0
Wednesday only |  | 14 | 5 | 0
Thursday only |  | 15 | 6 | 0
Friday only |  | 16 | 7 | 0
Tuesday only |  | 13 | 8 | 0
Saturday only |  | 17 | 9 | 0
CHOSEN
Spreadsheet: 761216d1640723627-conditional-format-and-copying-whole-week-and-increase-days-correresponding-bok1
Sheet: Tjänstegörningslista

 |  |  |  | [NAME]: |  |  |  | 2022
Vecka |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Första måndagen: |  | Rör ej
 |  | Bil | Ant. | Bil | Ant. | Bil | Ant. | Bil | Ant. | Bil | Ant. | Bil | Ant. | Bil | Ant. |  | Helgdagar | Datum | [NAME] automatiskt.
Björk Andre |  | Test | test |  |  |  |  |  |  |  |  |  |  |  |  |  | Nyårsdagen |  | Ja
[NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | [NAME] |  | Ja
[NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Långfredagen | 2022-03-07 00:00:00 | Nej
Dunstrand Ronny |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Påsk | 2022-03-09 00:00:00 | Nej
[NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Annandag påsk | 2022-03-10 00:00:00 | Nej
Eneqvist Christoffer |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Första maj |  | Ja
Gardell Emelie |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | [NAME] | 2022-05-18 00:00:00 | Nej
[NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Pingstdagen | 2022-05-28 00:00:00 | Nej
Hammerin Danne |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Sveriges nationaldag |  | Ja
Heidemar Jimmy |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Midsommardagen | 2022-06-24 00:00:00 | Nej
Holtmer Mattias |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Alla helgons dag | 2022-11-04 00:00:00 | Nej
Jakobsson Andreas |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Juldagen |  | Ja
[NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Annandag jul |  | Ja
[NAME]
[NAME]
[NAME]
[NAME]
[NAME]
Liljedahl [NAME]
[NAME]
[NAME]
Malmqvist [NAME]
[NAME]
[NAME]
[NAME]
[NAME]
[NAME]
Svensson Josie
Söderling Olle
[NAME]
Törebrant Magnus
[NAME]
[NAME]
[NAME]
Åman Mats
[NAME]
[NAME]
Lövbacker [NAME]
Vecka
 |  | Bil | Ant. | Bil | Ant. | Bil | Ant. | Bil | Ant. | Bil | Ant. | Bil | Ant. | Bil | Ant.
Björk Andre
[NAME]
[NAME]
Dunstrand Ronny
[NAME]
Eneqvist Christoffer
Gardell Emelie
[NAME]
Hammerin Danne
Heidemar Jimmy
Holtmer Mattias
Jakobsson Andreas
[NAME]
[NAME]
[NAME]
[NAME]
[NAME]
[NAME]
Liljedahl [NAME]
[NAME]
[NAME]
Malmqvist [NAME]
[NAME]
[NAME]
[NAME]
[NAME]
[NAME]
Svensson Josie
Söderling Olle
[NAME]
Törebrant Magnus
[NAME]
[NAME]
[NAME]
Åman Mats
[NAME]
[NAME]
Lövbacker [NAME]
Spreadsheet: 0f129210-21c8-4a5f-b773-9f342423b51a
Sheet: Sheet1

Unnamed: 0 | No. of Members | Interdisciplinary Task Force/Committee | Purpose and Scope of Task Force/Committee | Guidelines for Decision Making                   of Task Force/Committee                    (Is RN voting/non-voting member) | Nurse Member(s)                     (Last Name, First Name, MI) | Nurse Member Role on Committee | Nurse Member Work Unit | Nurse Member             Work Unit Role
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
36
37
38
 | NOTE:  If a committee has more members than are visible in the cell, please insert a row(s) beneath the row of the committee and continue to add the additional names.
Spreadsheet: 743332d1628417188-counting-serial-duplicates-countif
Sheet: Sheet1

 | unique
111-222
333-444
555-666
111-222
333-444
333-444
111-222
111-222
Spreadsheet: b9e755f7-6f4d-4ccc-9c6b-80bd5854d6d5
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
 |  | U.S. Census Bureau
 |  | Source: Construction Spending
 |  | Total Construction: U.S. Total
 |  | Seasonally Adjusted Total Construction [Millions of Dollars]
 |  | Period: 2002 to 2012
 |  | Data Extracted on: August 22, 2014 (5:45 pm)
Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
Spreadsheet: 474945d1470981724-displaying-unique-results-from-a-custom-made-lookup-formula-ultimate-vlookup-trick-needs-adjustment
Sheet: Ultimate VLOOKUP

First Name | Surname | Uniqe Reference |  |  |  | CURRENT RESULT | Desired Result Unique (not repeated)
[NAME] | [NAME] | CAR |  |  | [NAME] | CAR | CAR
[NAME] | [NAME] | BIKE |  |  | [NAME] | CAR | BIKE
[NAME] | [NAME] | BUS |  |  | [NAME] | CAR | BUS
[NAME] | [NAME] | HELICOPTER
[NAME] | [NAME] | CAR
[NAME] | [NAME] | BIKE
[NAME] | [NAME] | BUS
[NAME] | [NAME] | CAR
[NAME] | [NAME] | BIKE
[NAME] | [NAME] | BUS
[NAME] | [NAME] | HELICOPTER
[NAME] | [NAME] | HELICOPTER
[NAME] | [NAME] | HELICOPTER
[NAME] | [NAME] | HELICOPTER
[NAME] | [NAME] | HELICOPTER
Spreadsheet: 779438d1651775235-tweak-in-existing-if-conditions-to-give-a-certain-output-only-for-a-set-of-accounts-sample
Sheet: Ref

Columns | AQ | AH | AP
Account Numbers | Reported | Disable | Completion
25401 | 150 | 60 | 20
36997 | 150 | 60 | 20
102789 | 150 | 60 | 20
105980 | 150 | 60 | 20
108159 | 150 | 60 | 20
868538 | 150 | 60 | 20
878268 | 150 | 60 | 20
878336 | 150 | 60 | 20
Spreadsheet: 101941d1300009621-stacked-bar-chart-columns-are-in-reverse-order-book5
Sheet: Sheet1

 | time1 | time2 | time3 | helper
C Series | 5 | 6 | 7
B Series | 3 | 4 | 5
A Series | 2 | 3 | 4
Blank
Blank
Blank
Spreadsheet: 830920d1685265991-most-frequent-value-based-on-criteria-most-frequent-value-excel2016-
Sheet: Sheet1

Client Number | Client Name | [NAME] | Amount | Sales Month |  | [NAME]
 | Client 1 | [NAME] | 12 | February |  | If [NAME] is empty, then exclude from calculation.
 | Client 2 | [NAME] | 45 | February |  | Also, if [NAME] is empty or includes the text "Unknown", then exclude from calculation.
 | Client 3 | Mark | 27 | May
 | Client 4 | Suzanne | 87 | April |  |  | [NAME] | Which Sales Person appears most frequently overall?
 | Client 5 | [NAME] | 19 | March
 | Client 6 | Suzanne | 52 | March |  |  | [NAME] | Which Sales Person appears most frequently in May?
 | Client 7 |  | 24 | January
 | Client 8 | Suzanne | 67 | April
 | Client 9 | Alfred | 42 | May |  | Expected results: |  | Suzanne overall
 | Client 10 | Mark | 52 | May |  |  |  | Mark in May
 | Client 11 | Unknown YEL | 57 | May
 | Client 12 |  | 93 | January
 | Client 13 | Mark | 12 | May
 | Client 14 | [NAME] | 42 | February
 | Client 15 | Becky | 36 | May
 | Client 16 | Becky | 91 | March
 | Client 17 | Suzanne | 33 | April
 | Client 18 | Mark | 18 | May
 | Client 19 | Suzanne | 36 | March
 | Client 20 | [NAME] | 43 | February
 |  | Unknown PTT
 |  | RES Unknown
 |  | PLF Unknown
 |  | Unknown GRF
Spreadsheet: darrell_schoolcraft__7779__imbalsumm0106
Sheet: NNG

NNG
 | Measured | Scheduled | Imbalance
1635 | -46799
3531 | -274395 | -169301
60667 |  | -56295
60749 |  | -712522
61206
61334 | -137542
62960
INDEX
2001-05-31 00:00:00 |  |  | 1177095.58
2001-06-27 00:00:00