tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 798697d1664649783-formula-to-seperate-date-and-data-from-single-cell-seperate-date-and-data
Sheet: Seperate Data without Date

 | Combined Data | Date | [NAME] fill | Expected
 | 04-12-21 SALARY |  | Salary | [NAME]
 | 05-02-22 Charges for |  | charges for | charges for
 | 05-02-22 Charges for |  | charges for | charges for
 | 05-02-22 NEFT-BARBV2203 |  | barbv2203 | NEFT-BARBV2203
 | 05-02-22 NEFT-BARBV2203 |  | barbv2203 | NEFT-BARBV2203
 | 05-02-22 TO |  | to | To
 | 05-03-22 Cash |  | cash | Cash
 | 05-03-22 Charges for |  | charges for | charges for
 | 05-06-21 TO ANDREW W |  | w | TO ANDREW W
 | 05-06-21 TO GYANA |  | gyana | TO GYANA
Spreadsheet: 7e980fdf-21c4-4eae-ab35-2448e3a1956e
Sheet: Sheet1

Test Referenced | Entry Type | Mayo ID | Description | Reporting Description | Method | Collection Container | Temperature | Stability | [NAME] | Unit of Measure | [NAME] | Minimum Volume | Reject Due To | Reference Values | Days/Times Performed | Analytic Time | Maximum Lab Time | CPT Units | CPT Code | LOINC® Code | LOINC® Attributes | Always Performed | Orderable Separately | Performing Location
EEST | Test | EEST | [NAME], Serum | Estradiol, S | Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS) | Serum Gel Tube: SGT |  |  | 1.2 | mL | Container/Tube:  Preferred: Red top  Acceptable: Serum gel [NAME]: 1.2 mL Collection Instructions: Serum must be separated from gel within 24 hours of draw. | 0.8 mL | Hemolysis	Mild OK; Gross OK Thawing	Warm OK; Cold OK Lipemia	Mild OK; [NAME] OK Icterus	Mild OK; [NAME] OK Other	NA | CHILDREN* 1-14 days: [NAME] levels in newborns are very elevated at birth but will fall to prepubertal levels within a few days. [NAME] Stages#	Mean Age	Reference Range Stage I (>14 days and prepubertal)	7.1 years	Undetectable-13 pg/mL Stage II	12.1 years	Undetectable-16 pg/mL Stage III	13.6 years	Undetectable-26 pg/mL Stage IV	15.1 years	Undetectable-38 pg/mL Stage V	18 years	10-40 pg/mL #[NAME] onset (transition from Tanner stage I to Tanner stage II) occurs for boys at a median age of 11.5 (+/- 2) years. For boys, there is no proven relationship between puberty onset and body weight or ethnic origin. Progression through Tanner stages is variable. Tanner stage V (adult) should be reached by age 18.   Females Tanner Stages#	Mean Age	Reference Range Stage I (>14 days and prepubertal)	7.1 years	Undetectable-20 pg/mL Stage II	10.5 years	Undetectable-24 pg/mL Stage III	11.6 years	Undetectable-60 pg/mL Stage IV	12.3 years	15-85 pg/mL Stage V	14.5 years	15-350 pg/mL** #[NAME] onset (transition from Tanner stage I to Tanner stage II) occurs for girls at a median age of 10.5 (+/- 2) years. There is evidence that it may occur up to 1 year earlier in obese girls and in African American girls. Progression through Tanner stages is variable. Tanner stage V (adult) should be reached by age 18.   *The reference ranges for children are based on the published literature(1,2), cross-correlation of our assay with assays used to generate the literature data, and on our data for young adults.   ADULTS Males: 10-40 pg/mL Females	 Premenopausal: 15-350 pg/mL** Postmenopausal: <10 pg/mL **E2 levels vary widely through the menstrual cycle. Conversion factor E2: pg/mL x 3.676=pmol/L (molecular weight=272) | Monday through Friday; 1 p.m. | 2 days | 4 days | 1 | 82670 |  |  |  |  | Rochester
EEST | [NAME] | SERUM | Serum |  |  |  | Refrigerated | 7 days
EEST | Result | 81816 | Estradiol, S | Estradiol, S | Numeric |  |  |  |  | pg/mL |  |  |  |  |  |  |  |  |  | 2243-4
Spreadsheet: 190099d1351525028-macro-for-selecting-scenario-and-copying-results-book2
Sheet: Sheet1

 | 1
 | 2
 | 3
 | ScenarioIn
 |  |  |  |  | OutputsW
Select from drop-down | 1
output 1 |  |  | output 1 |  |  | output 1
output 2 |  |  | output 2 |  |  | output 2
output 3 |  |  | output 3 |  |  | output 3
 | target1 |  |  | target2 |  |  | target3
Spreadsheet: 1bc7aa4a-dc0e-4932-ac89-dcbd32bc9057
Sheet: Sheet1

Test Referenced | Entry Type | Mayo ID | Description | Reporting Description | Method | Collection Container | Temperature | Stability | [NAME] | Unit of Measure | [NAME] | Minimum Volume | Reject Due To | Reference Values | Days/Times Performed | Analytic Time | Maximum Lab Time | CPT Units | CPT Code | LOINC® Code | LOINC® Attributes | Always Performed | Orderable Separately | Performing Location
BAP | Test | BAP | Bone [NAME], Serum | Bone [NAME], S | Immunoenzymatic Assay | Serum Gel Tube: SGT |  |  | 0.6 | mL | Container/Tube:  Preferred: Red top Acceptable: Serum gel [NAME]: 0.6 mL | 0.5 mL | Hemolysis	Mild OK; Gross reject Thawing	Warm reject; Cold OK  Lipemia	Mild OK; [NAME] OK Icterus	NA Other	NA | Males <2 years: 25-221 mcg/L 2-9 years: 27-148 mcg/L 10-13 years: 35-169 mcg/L 14-17 years: 13-111 mcg/L Adults: < or =20 mcg/L Females <2 years: 28-187 mcg/L 2-9 years: 31-152 mcg/L 10-13 years: 29-177 mcg/L 14-17 years: 7-41 mcg/L Adults Premenopausal: < or =14 mcg/L Postmenopausal: < or =22 mcg/L | Monday through Friday 5 a.m.-midnight, Saturday 6 a.m.-6 p.m. | 1 day | 3 days | 1 | 84080 |  |  |  |  | Rochester
BAP | [NAME] | SERUM | Serum |  |  |  | Refrigerated | 7 days
BAP | Result | BAP | Bone [NAME], S | Bone [NAME], S | Numeric |  |  |  |  | mcg/L |  |  |  |  |  |  |  |  |  | 17838-4 | Alkaline phosphatase.bone:MCnc:Pt:Ser/Plas:Qn:
Spreadsheet: 688247d1595662004-using-sumifs-to-categorize-expenditures-monthly-example1
Sheet: expense

Expenses |  |  |  | JUN |  | JUL |  | AUG |  | September |  | October |  | November |  | December
Advertising |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 |  | 0
Truck Expenses |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 |  | 0
Lawn Equipment Purchases |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 |  | 0
Lawn Equipment Repar |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 |  | 0
Lawn Equipment Supplies |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 |  | 0
Gas |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 |  | 0
Lawn Oil/Gas |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 |  | 0
Licenses |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 |  | 0
Insurance (General Liability Insurance) |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 |  | 0
Food |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 |  | 0
Customer Repair |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 |  | 0
Spreadsheet: 855870d1705339204-looking-for-a-way-to-automate-scheduling-duos-into-different-squads-sample-scheduling-bsweet0us-
Sheet: Qualifiers

Team Member 1 | Team Member 2 | Count 1 | Count 2 | Squad
[NAME] | [NAME]
[NAME] | [NAME]
[NAME] | [NAME]
[NAME] | Briley Scantland
[NAME] | Nate Apgar
[NAME] | [NAME]
[NAME] | [NAME]
[NAME] | [NAME]
Bobbi [NAME] | [NAME]
[NAME] | [NAME]
[NAME] | [NAME]
[NAME] | [NAME]
[NAME] | [NAME]
Spreadsheet: 173985d1344878186-spreadsheet-wont-sort-by-time-time-sort-problem-example
Sheet: Sheet1 (2)

Date | Type | Start time
2012-10-10 00:00:00 | Rounds | 09:30:00
2012-10-10 07:30:00 | Seminar | 07:30:00
2012-10-24 00:00:00 | Rounds | 09:30:00
2012-10-24 07:30:00 | Seminar | 07:30:00
2012-10-31 00:00:00 | Special Session | 14:00:00
2012-10-31 10:00:00 | Seminar | 10:00:00
2012-11-28 00:00:00 | Rounds | 09:30:00
2012-11-28 07:30:00 | Seminar | 07:30:00
2012-11-28 07:30:00 | Special Session | 12:00:00
2013-01-16 00:00:00 | Rounds | 09:30:00
2013-01-16 07:30:00 | Seminar | 07:30:00
Spreadsheet: 785787d1656688821-formula-for-gating-value-from-pivot-table-and-by-verifying-the-date-filter-pivot-query
Sheet: Sheet1

Date | Quarter | Month | Year | Consumption | Year | 2016
2015-01-01 00:00:00 | Q4 | Jan | 2014 | 1250
 | Q4 | Jan | 2014 | 1658 | Row Labels | Sum of Consumption
 | Q4 | Feb | 2014 | 1798 | Q1 | 10873
 | Q4 | Mar | 2014 | 4963 | Q2 | 12819
 | Q1 | Apr | 2015 | 7896 | Q3 | 27708.6642
 | Q1 | May | 2015 | 1238 | Q4 | 10820.3379
 | Q1 | May | 2015 | 2098 | Grand Total | 62221.0021
 | Q1 | Jun | 2015 | 7964
 | Q2 | Jul | 2015 | 1597
 | Q2 | Aug | 2015 | 9876
 | Q2 | Sep | 2015 | 7958 | Year | Consumption
 | Q3 | Oct | 2015 | 1656 | 2015
 | Q3 | Oct | 2015 | 2597
 | Q3 | Nov | 2015 | 7965
 | Q3 | Dec | 2015 | 1597
 | Q4 | Jan | 2015 | 9876
 | Q4 | Feb | 2015 | 7958
 | Q4 | Mar | 2015 | 1656
 | Q4 | Mar | 2015 | 2597
 | Q1 | Apr | 2016 | 7965
 | Q1 | May | 2016 | 1250
 | Q1 | Jun | 2016 | 1658
 | Q2 | Jul | 2016 | 1798
 | Q2 | Jul | 2016 | 4963
 | Q2 | Aug | 2016 | 1128
 | Q2 | Sep | 2016 | 4930
 | Q3 | Oct | 2016 | 2282
 | Q3 | Nov | 2016 | 5450.5133
 | Q3 | Dec | 2016 | 6435.2475
 | Q3 | Dec | 2016 | 1350
 | Q4 | Jan | 2016 | 4834.3825
 | Q4 | Feb | 2016 | 2443.7409
 | Q4 | Mar | 2016 | 3542.2145
 | Q1 | Apr | 2017 | 1658
Spreadsheet: 769994d1645774989-pull-balance-consonants-wild-card-pull
Sheet: Sheet1

DLN
TENDRIL |  | s | 569 | DEILNRT | RT
TRINDLE |  | ds | 570 | DEILNRT | RT
ENTROLD |  |  | 683 | DELNORT | RT
DARNELS |  |  | 1492 | ADELNRS | RS
ENLARDS |  |  | 1493 | ADELNRS | RS
LANDERS |  |  | 1494 | ADELNRS | RS
RELANDS |  |  | 1495 | ADELNRS | RS
SLANDER |  | s | 1496 | ADELNRS | RS
SNARLED |  |  | 1497 | ADELNRS | RS
DENTALS |  |  | 1501 | ADELNST | ST
SLANTED |  |  | 1502 | ADELNST | ST
Spreadsheet: 80348d1280509977-solving-exponential-scratch
Sheet: Sheet1

 | ln(b) | [NAME])
 | 0.01607133424704201 | 6.068638410417844 | << from LINEST
 | b | m
 | 1.016201172766151 | 432.0919489630949 | << y intercept
 | y |  | x | y = m*b^x
 | 140 | 60.5342 | -60.5342 | 163.3300579454944
 | 200 | 47.0959 | -47.0959 | 202.7035283068985
 | 300 | 27.4384 | -27.4384 | 278.012676845266
 | 400 | 10.3562 | -10.3562 | 365.8416021408252
 | 500 | 4.82192 | 4.82192 | 466.9084026290619
 | 600 | 17 | 17 | 567.8464755249292
 | 700 | 28.1781 | 28.1781 | 679.5957077732022
 | 800 | 38.1644 | 38.1644 | 797.9063535764614
 | 900 | 46.9315 | 46.9315 | 918.6362502707098
 | 1000 | 54.274 | 54.274 | 1033.69392989094
 | 1100 | 61.2877 | 61.2877 | 1157.03215944312
 | 1200 | 66.6301 | 66.6301 | 1260.763814712088
Spreadsheet: 120899d1315611142-cell-reads-other-cells-from-another-sheet-nfl-football-schedule-2011-2012
Sheet: Records

AFC teams | Record |  |  | NFC Teams | Record
AFC North | Win | Lose |  | NFC North | Win | Lose
Baltimore Ravens |  |  |  | Chicago Bears
Cincinnati Bengals |  |  |  | Detroit Lions
[NAME] |  |  |  | Green Bay Packers
Pittsburgh Steelers |  |  |  | Minnesota Vikings
AFC South |  |  |  | NFC South
Houston Texans |  |  |  | Atlanta Falcons
Indianapolis Colts |  |  |  | Carolina Panthers
[NAME] |  |  |  | New Orleans Saints | 0 | 1
Tennessee Titans |  |  |  | Tampa Bay Buccaneers
AFC East |  |  |  | NFC East
Buffalo Bills |  |  |  | Dallas Cowboys
[NAME] |  |  |  | New York Giants
New England Patriots |  |  |  | Philadelphia Eagles
New York Jets |  |  |  | Washington Redskins
AFC West |  |  |  | NFC West
Denver Broncos |  |  |  | Arizona Cardinals
Kansas City Chiefs |  |  |  | San Francisco 49ers
Oakland Raiders |  |  |  | [NAME]
San Diego Chargers |  |  |  | St. Louis Rams
Spreadsheet: 804060d1667863292-xlookup-fow-two-different-values-excel-formula
Sheet: Sheet2

Numbers | What I want it to show | My attemt at formula
4 | No Result
2 | No Result
16 | No Result
18 | No Result
4 | 4
4 | 4
9 | No Result
7 | No Result
12 | No Result
5 | 5
5 | 5
9 | 5
13 | 5
20 | 5
13 | 13
1 | 5
3 | 5
5 | 5
1 | 5
8 | 5
11 | 5
18 | 5
11 | 11
6 | 5
16 | 5
1 | 1
4 | 5
18 | 18
9 | 5
10 | 5
1 | 1
Spreadsheet: 10ef94a1-10aa-4741-a7e0-908492be1a59
Sheet: 4mills

Statewide 4 [NAME] by County
County | 2008 AV |  | If 4 mills |  | [NAME] |  | 4 Mills as a
 |  |  |  |  |  |  | Percent of Total
Adams | 4663107410 |  |  |  | 103.573
[NAME] | 131935340 |  |  |  | 74.83
Arapahoe | 7737071230 |  |  |  | 91.914
Archuleta | 362456800 |  |  |  | 60.096
[NAME] | 73315713 |  |  |  | 58.203
Bent | 64823088 |  |  |  | 66.793
Boulder | 5620401630 |  |  |  | 78.854
[NAME] | 1065139700 |  |  |  | 101.25
Chaffee | 336715811 |  |  |  | 44.309
[NAME] | 149021170 |  |  |  | 39.267
Clear Creek | 435303310 |  |  |  | 70.079
Conejos | 48827180 |  |  |  | 70.353
Costilla | 111152646 |  |  |  | 58.943
Crowley | 34796904 |  |  |  | 64.319
Custer | 87846930 |  |  |  | 60.328
Delta | 318049330 |  |  |  | 58.528
Denver | 10863244130 |  |  |  | 70.626
Dolores | 54135179 |  |  |  | 61.653
[NAME] | 4678184640 |  |  |  | 102.75
Eagle | 3187469090 |  |  |  | 58.88
Elbert | 284691190 |  |  |  | 82.966
El Paso | 6578146500 |  |  |  | 67.299
Fremont | 433619100 |  |  |  | 58.671
[NAME] | 3270585030 |  |  |  | 45.605
[NAME] | 352492340 |  |  |  | 40.017
Grand | 857090230 |  |  |  | 57.142
Gunnison | 780639940 |  |  |  | 48.955
Hinsdale | 49996800 |  |  |  | 45.66
Huefano | 113230890 |  |  |  | 71.795
[NAME] | 30766370 |  |  |  | 45.769
[NAME] | 7356400430 |  |  |  | 94.268
[NAME] | 33136560 |  |  |  | 84.524
[NAME] | 115718463 |  |  |  | 78.938
Lake | 94093301 |  |  |  | 82.635
[NAME] | 3017991395 |  |  |  | 28.073
Larimer | 4121837079 |  |  |  | 84.442
[NAME] | 691068530 |  |  |  | 28.711
Lincoln | 71583233 |  |  |  | 78.493
Logan | 242402790 |  |  |  | 76.147
Mesa | 1880987220 |  |  |  | 62.411
Mineral | 30386390 |  |  |  | 56.191
Moffat | 443165070 |  |  |  | 64.286
Montezuma | 437366540 |  |  |  | 49.695
Montrose | 578622313 |  |  |  | 57.054
Morgan | 382848100 |  |  |  | 80.465
Otero | 116770834 |  |  |  | 63.33
Ouray | 196889200 |  |  |  | 50.872
Park | 417184635 |  |  |  | 52.049
Phillips | 48975466 |  |  |  | 86.288
Pitkin | 2777168530 |  |  |  | 35.397
Prowers | 120442280 |  |  |  | 66.596
Pueblo | 1256800490 |  |  |  | 92.736
Rio Blanco | 821281380 |  |  |  | 41.398
Rio Grande | 173323350 |  |  |  | 57.42
Routt | 1120440200 |  |  |  | 49.558
Saguache | 62008408 |  |  |  | 73.713
San Juan | 55547330 |  |  |  | 38.899
[NAME] | 893064930 |  |  |  | 38.146
Sedgwick | 57766970 |  |  |  | 67.639
Summit | 1583254970 |  |  |  | 51.842
Teller | 470899780 |  |  |  | 59.683
Washington | 113226075 |  |  |  | 60.404
Weld | 4565823440 |  |  |  | 71.333
Yuma | 326902670 |  |  |  | 60.785
State |  |  |  |  | 72.748
SOURCE: Colo. Division of Property Taxation, 2008 Annual Report
Spreadsheet: 5f2ba08e-4d1c-49cb-a19f-47acfda9c698
Sheet: Sheet1

Adresseliste fra www.proff.no | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7
[NAME]:Alarm- og sikringsanlegg
FIRMANAVN | ADRESSE | POSTNR. | POSTSTED | TELEFON | TELEFAKS
Access Lås & Nøkkel AS | Bergensveien 4B | 0963 | Oslo | 22 82 00 50 | 22 82 00 59
Nortronik AS | Flovegen 12 | 6800 | [NAME] | 57 83 20 00 | 57 83 07 81
UTC Fire & Security Norge AS | Grenseveien 82 | 0663 | Oslo | 22 64 11 00 | 22 64 11 01
Vakt og Alarm AS | Gjerde | 5590 | Etne | 53 77 10 00 | 53 77 10 10
Nortronix AS | Hummerbakkveien 200 | 3294 | Stavern | 33 14 10 40
Sector [NAME] | Storgata 150C | 2390 | [NAME] | 03033
Phono-elektro-akustikk A/S | Hoff terrasse 2 | 0275 | Oslo | 22 50 87 00 | 22 50 87 03
[NAME] | Flatebygd | 4735 | Evje | 37 93 33 34 | 37 93 33 35
Honeywell Life Safety AS | [NAME] | 3400 | Lier | 32 24 48 00 | 32 24 48 01
Varanger Security AS | Ørtangen 10 | 9800 | Vadsø | 400 01 553 | 78 95 00 01
Viste & Sømme AS | Prinsens vei 10A | 4315 | Sandnes | 51 96 12 00 | 51 96 12 01
Urheims Elektrokompani AS |  | 5012 | Bergen | 55 90 44 20
[NAME] and Security AS | [NAME] | 4623 | Kristiansand | 38 06 61 00 | 38 06 61 01
[NAME] | [NAME] vei 44 | 0668 | Oslo | 02514
Sector [NAME] | Stoaveien 3C | 4848 | Arendal | 03033
Oslo Låsservice AS | Caspar Storms vei 16 | 0664 | Oslo | 905 42 222
Signaltech AS | Vestre Vardane 88 | 5306 | Erdal | 922 29 011
Norwegian Security Assist DA | Paal Bergs vei 48 | 1348 | Rykkinn | 476 18 000
[NAME] | Nordsetergrenda 15A | 1161 | Oslo | 918 93 523
Netcam Norge AS | Hoffsveien 16B | 0275 | Oslo | 21 68 23 00
Vicon Norway A/S | Munkerudtunet 10 | 1164 | Oslo | 22 74 10 01 | 22 28 85 01
Kaba Møllerundall AS avd Bærum | Brynsveien 96 | 1352 | [NAME] | 06866
Hemer Lås & Dørtelefon AS | [NAME] g 56 | 0477 | Oslo | 23 05 80 10
Alcom AS | [NAME] 18 | 1659 | Torp | 69 17 57 50 | 69 17 57 60
Adi-Alarmsystem Norge AS | [NAME] | 3047 | Drammen | 32 20 28 60
Trenger du oppdaterte adresselister til DM /TM? [NAME] (www.forvalt.no) tilbyr ett segmenterings- og uttekksverktøy hvor du [NAME] frem til din målgruppe og eksportere lister til Excel. Du kan gjøre oppslag så ofte du vil, med en begrensning på 3500 selskap per søk. Våre telefonnummere er hentet fra Telefonkatalogen og [NAME].  Med segmenteringsverktøy kan du: - Hente ut adresseliste før en DM utsendelse - Lage ringelister - Hente ut bransjestatistikker - Oppdatere din kundedatabase  Se http://forvalt.no/segmenteringsverktoy/
Spreadsheet: 218804d1362585279-football-league-table-database
Sheet: Sumário - Tabela 2-3-1-1-1-21

Jornada | 23
Liverpool | 5 | 0 | Norwich City
Manchester City | 2 | 0 | Fulham
Newcastle United | 1 | 2 | Reading
Swansea City | 3 | 1 | Stoke City
West Ham United | 1 | 1 | Queen Parks Rangers
Wigan Athletic | 2 | 3 | Sunderland
West Bromwich Albion | 2 | 2 | [NAME]
Chelsea | 2 | 1 | Arsenal
[NAME] | 1 | 1 | [NAME]
Southampton | 0 | 0 | Everton
Spreadsheet: 807027d1669719334-how-to-combine-sumif-subtotal-commands-financial-statistics
Sheet: TEST

DATE | BANK | TYPE | [NAME] | Transaction amount | Positive prices |  | Numb. Of Credits | Credit Total
29/10/2022 | BANK NATIONAL | CHARGE | - | -150
28/10/2022 | BANK NATIONAL | CHARGE | - | -58.94 |  |  | Numb. Of Charges | Charges Total
28/10/2022 | BANK NATIONAL | CHARGE | - | -22.67
28/10/2022 | BANK NATIONAL | CHARGE | - | -59.92
28/10/2022 | BANK NATIONAL | CHARGE | - | -93.5 |  |  | SUMIF
26/10/2022 | BANK NATIONAL | CHARGE | - | -399
26/10/2022 | BANK NATIONAL | CHARGE | - | -458.01
25/10/2022 | BANK XYX | CHARGE | - | -83.23
24/10/2022 | BANK XYX | CHARGE | - | -0.3
24/10/2022 | BANK XYX | CHARGE | - | -220
24/10/2022 | BANK NATIONAL | CHARGE | - | -87.71
24/10/2022 | BANK NATIONAL | CREDIT | - | 500
20/10/2022 | BANK NATIONAL | CREDIT | - | 888
11/10/2022 | BANK XYX | CREDIT | - | 25
07/10/2022 | BANK BBBB | CHARGE | - | -13.5
03/10/2022 | BANK BBBB | CHARGE | - | -3999
03/10/2022 | BANK BBBB | CREDIT | - | 50
03/10/2022 | BANK NATIONAL | CREDIT | - | 150
03/10/2022 | BANK XYX | CREDIT | - | 350
03/10/2022 | BANK BBBB | CREDIT | - | 156
03/10/2022 | BANK BBBB | CREDIT | - | 190
2022-10-07 00:00:00 | BANK XYX | CHARGE | - | -1.5
2022-10-07 00:00:00 | BANK BBBB | CHARGE | - | -93.5
2022-10-07 00:00:00 | BANK BBBB | CHARGE | - | -1.5
2022-10-07 00:00:00 | BANK BBBB | CHARGE | - | -56.5
Spreadsheet: 797356d1663842257-need-to-return-the-worker-site-based-on-a-table-with-his-working-hours-example-hd
Sheet: Sheet with formula

Worker number | [NAME]
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 |  |  | DE.1052
30 |  |  | DE.1052
31 |  |  | DE.1053
32 |  |  | DE.1054
33 |  |  | DE.1053
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52 |  |  | Check
53
54
55
56
57
58
59
60
61
62 |  |  | DE.1052
63
64
65
66
67
68
69
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Spreadsheet: 761307d1640810299-conditional-formatting-to-change-colour-based-on-percentage-bands-bobs-project-list1
Sheet: WESCO Hosted Event Budget

 | EVENT BUDGET
 | EVENT NAME |  |  |  | EVENT OWNER(S) | [add budget owner name] |  | SUPPLIER REGISTRATION LINK
 | EVENT DATE(S) |  |  |  | EVENT SUPPORT | [add marketing/event support staff] |  | CUSTOMER REGISTRATION LINK
 | [NAME] |  |  |  | SAR/BILLING CODE
 |  |  |  | TOTAL COST | REVENUE | NET COST | EMPLOYEE T&E
 |  |  |  |  |  |  |  | Fields will auto-populate based on data entered below
 | CATEGORY |  | COST | QTY | TOTAL | COMMENTS / NOTES
 | Location/Venue |  |  |  |  |  | SUBTOTAL | Make sure to account for additional fees such as taxes and gratuities
 | Meeting Room/Exhibit Space Rental |  | 0 | 1
 | Furniture Rental |  | 0 | 1
 | Equipment Rental |  | 0 | 1
 | Labor Fees (set up, clean up) |  | 0 | 1
 | Internet |  | 0 | 1
 | Audio Visual |  | 0 | 1
 | Electric |  | 0 | 1
 | Parking |  | 0 | 1
 | Tips (Bellman, Shipping) |  | 0 | 1
 | Venue Staff/Security |  | 0 | 1
 | Misc. Other |  | 0 | 1
 |  |  | 0 | 1
 | Food and Beverage |  |  |  |  |  | SUBTOTAL
 | Breakfast |  | 0 | 1
 | Lunch |  | 0 | 1
 | Dinner |  | 0 | 1
 | Breaks/Snacks (fruit, cookies, trailmix, chips) |  | 0 | 1
 | Reception Appetizers |  | 0 | 1
 | Coffee, Soda, Water |  | 0 | 1
 | Alcohol |  | 0 | 1
 | Staff Fee (Bartender, Catering) |  | 0 | 1
 | Service Charge |  | 0 | 1
 |  |  | 0 | 1
 | Misc. Event Expenses & Enhancements |  |  |  |  |  | SUBTOTAL
 | Raffle Prizes |  | 0 | 1
 | Notebooks |  | 0 | 1
 | Pens |  | 0 | 1
 | Welcome [NAME] |  | 0 | 1
 | Décor |  | 0 | 1
 | Lighting |  | 0 | 1
 | Shipping (banner, literature, signs etc.) |  | 0 | 1
 | Insurance, Permits Requirements |  | 0 | 1
 |  |  | 0 | 1
 | Entertainment |  |  |  |  |  | SUBTOTAL
 | Music (Band, DJ) |  | 0 | 1
 | Professional Speaker |  | 0 | 1
 | Game/Activity Rentals |  | 0 | 1
 | Photo Booth / Photographer |  | 0 | 1
 | Other Entertainment |  | 0 | 1
 |  |  | 0 | 1
 | Branded Materials / Displays |  |  |  |  |  | SUBTOTAL
 | [NAME] |  | 0 | 1
 | Branded Tablecloth |  | 0 | 1
 | Branded Giveaway Items |  | 0 | 1
 | Branded Staff Shirts |  | 0 | 1
 | Branded Plastic/Reusable Bags |  | 0 | 1
 |  |  | 0 | 1
 | Print Items / Signage |  |  |  |  |  | SUBTOTAL
 | Printed Literature |  | 0 | 1
 | Directional Signage |  | 0 | 1
 | Sponsor Signage |  | 0 | 1
 | Banners |  | 0 | 1
 | Handouts (Agenda, Evaluation, Class Certificate) |  | 0 | 1
 | Name Badges |  | 0 | 1
 | Misc. Print Items |  | 0 | 1
 |  |  | 0 | 1
 | Revenue |  |  |  |  |  | SUBTOTAL
 | Sponsorship Tier 1 |  | 0 | 1
 | Sponsorship Tier 2 |  | 0 | 1
 | Sponsorship Tier 3 |  | 0 | 1
 | Sponsorship Tier 4 |  | 0 | 1
 | Customer Fee |  | 0 | 1
 |  |  | 0 | 1
 |  |  | 0 | 1
 | Employee Travel & Entertainment |  |  |  |  |  | SUBTOTAL
 | Round Trip Airfare |  | 0 | 1
 | Round Trip Ground Trans. |  | 0 | 1
 | Hotel |  | 0 | 1
 | Meals |  | 0 | 1
 | Misc. Travel/Entertainment Costs |  | 0 | 1
 |  |  | 0 | 1
Spreadsheet: 733899d1621873041-help-with-an-area-formula-plate-project_scrumpywill2
Sheet: Sheet1

 |  |  |  |  |  |  |  |  |  |  |  | 1
 |  |  |  |  |  |  |  |  |  |  |  |  | Machines | [NAME] | Length |  | Sheet [NAME] | Sheet [NAME] | surface area
 |  |  | [NAME] |  | Machine Spec |  | [NAME] | Length | number on sheeet | % utilization | % waste |  | Bobst 76 | 556 | 798 |  | 1250 | 1700
 |  |  | 1250x1700 |  | Bobst 142 |  |  |  |  |  |  |  | Bobst 102 | 715 | 1052 |  | 1500 | 2200
 |  |  | 1500x2200 |  |  |  |  |  |  |  |  |  | Bobst 104 | 736 | 1074
 |  |  |  |  |  |  |  |  |  |  |  |  | Bobst 106s | 760.5 | 1090
 |  |  |  |  |  |  |  |  |  |  |  |  | Bobst 106c | 730 | 1090
 |  |  |  |  |  |  |  |  |  |  |  |  | Bobst SPO 1600 | 1090 | 1629
 |  |  |  |  |  |  |  |  |  |  |  |  | Bobst 142 | 1028 | 1449
 |  |  |  |  |  |  |  |  |  |  |  |  | Bobst 145 | 1064 | 1484
 |  |  |  |  |  |  | 3300000
 |  |  |  |  |  |  |  |  |  |  |  |  | MAYBE