tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 82868d1282866514-grouping-results-using-multisheet-consolidation-testing2-2
Sheet: INTLSummary

 |  |  |  |  |  |  |  |  |  | Choose Month | All
 | Country | State | Probability | Value | Month
 |  |  |  |  |  |  |  |  |  | Choose probability
 | Europe
 | Hungary |  | 0.9 | 10 | June
 | Sweden |  | 0.1 | 15 | June
 | France |  | 0.2 | 100 | May
 | Germany |  | 0.3 | 25 | August
 | England |  | 0.6 | 55 | April
 | US
 | USA | New York | 0.9 | 10 | June
 | USA | Florida | 0.1 | 15 | June
 | USA | Missouri | 0.2 | 100 | May
 | USA | Texas | 0.3 | 25 | August
 | USA | California | 0.6 | 55 | April
 | ME
 | Abu Dhabi |  | 0.9 | 10 | June
 | Jordan |  | 0.1 | 15 | July
 | Oman |  | 0.2 | 100 | June
 | Dhubi |  | 0.3 | 25 | June
 | TOTAL VALUE |  |  | 560
Spreadsheet: 108318d1305328341-conditional-formatting-in-out
Sheet: Sheet1

Employee In / Out Chart
Number in Camp | Name | Date In | Date Out
1 | [NAME] | 2011-04-24 00:00:00 | 2011-05-15 00:00:00
 | [NAME] | 2011-05-01 00:00:00
Spreadsheet: 761888d1641287493-count-amount-of-x-year-olds-between-values-count-amount-ans
Sheet: Sheet1

FROM | To | Count |  | Criteria | [NAME]
8 | 11 | 23 |  | 11
12 | 15 | 121
10 | 13 | 5
8 | 14 | 55
12 | 15 | 65
12 | 15 | 30
10 | 21 | 78
Spreadsheet: 09ec2925-6184-4717-a631-6996e9c8a7ba
Sheet: Orientation Form

 |  |  |  |  |  |  |  |  | High School Work Experience Program
Name of High School
ORIENTATION FORM
Student Agreement: I, |  |  |  |  |  | , hereby agree to abide by all established
 |  | First Name ‐ Middle Initial ‐ Last Name
Rules and regulations contained in the Work Experience Program.
Student’s Signature: Date: |  |  |  |  |  | Date:
Parental Approval:
As parent or legal guardian of the said student, I hereby approve of his/her application for and
participation in the ______________________ Work Experience Program; furthermore, I agree to abide
by all the provisions contained in the program, as well as assume liability for
 |  |  |  | while he/she travels to and from his/her job assignment.
Name of Student
Parent’s Signature: |  |  |  |  |  | Date:
School Official’s Signature: |  |  |  |  |  | Date:
EMPLOYER ORIENTATION ‐ Employer has reviewed rules and regulations of WEP program.
Employer’s Signature: |  |  |  |  |  | Date:
EMPLOYER VISITS  -  A school official will conduct a job site visitation every 9 weeks.
1st Nine Weeks
Employer’s Signature: |  |  |  |  |  | Date:
2nd Nine Weeks
Employer’s Signature: |  |  |  |  |  | Date:
3rd Nine Weeks
Employer’s Signature: |  |  |  |  |  | Date:
4th Nine Weeks
Employer’s Signature: |  |  |  |  |  | Date:
Spreadsheet: 853373d1703245431-group-by-id-and-sort-by-highest-first-and-export-thebest-from-each-group-christest
Sheet: Sheet1

ID | Name | April | Average
101 | [NAME] | 110 | 110
101 | [NAME] | 112 | 121
101 | Dawn | 116 | 109
102 | Fred | 122 | 116
102 | Rich | 129 | 130
102 | Lola | 140 | 138
102 | [NAME] | 132 | 128
102 | [NAME] | 123 | 129
103 | [NAME] | 99 | 100
103 | Rita | 111 | 108
103 | Sid | 111 | 110
103 | [NAME] | 103 | 101
Spreadsheet: 138217d1327574070-formula-with-sheet-name-variable-toys
Sheet: Item 003

 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Last Price Check | hi
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Number of Sellers
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Highest Price
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Shipping Price
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Total Value
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | From
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Location
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Lowest Price
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Shipping Price
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Total Value
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | From
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Location
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Average Total Value
Item
Year
Condition
Description
Spreadsheet: 180585d1347646712-need-help-formatting-small-business-web-design-business-related-spreadsheets-example
Sheet: Startup Expenses

Startup Expenses
Enter your company name here
SOURCES OF CAPITAL
Owners' Investment (name and percent ownership)
Your name and percent ownership |  | 0
Other investor |  | 0
Other investor |  | 0
Other investor |  | 0
Total Investment |  | 0
Bank Loans
Bank 1 |  | 0
Bank 2 |  | 0
Bank 3 |  | 0
Bank 4 |  | 0
Total Bank Loans |  | 0
Other Loans
Source 1 |  | 0
Source 2 |  | 0
Total Other Loans |  | 0
STARTUP EXPENSES
Buildings/Real Estate
Purchase |  | 0
Construction |  | 0
Remodeling |  | 0
Other |  | 0
Total Buildings/Real Estate |  | 0
Leasehold Improvements
Item 1 |  | 0
Item 2 |  | 0
Item 3 |  | 0
Item 4 |  | 0
Total Leasehold Improvements |  | 0
Capital Equipment List
Furniture |  | 0
Equipment |  | 0
Fixtures |  | 0
Machinery |  | 0
Other |  | 0
Total Capital Equipment |  | 0
Location and Admin Expenses
Rental |  | 0
Utility deposits |  | 0
Legal and accounting fees |  | 0
Prepaid insurance |  | 0
Pre-opening salaries |  | 0
Other |  | 0
Total Location and Admin Expenses |  | 0
Opening Inventory
Category 1 |  | 0
Category 2 |  | 0
Category 3 |  | 0
Category 4 |  | 0
Category 5 |  | 0
Total Inventory |  | 0
Advertising and Promotional Expenses
Advertising |  | 0
Signage |  | 0
Printing |  | 0
Travel/entertainment |  | 0
Other/additional categories |  | 0
Total Advertising/Promotional Expenses |  | 0
Other Expenses
Other expense 1 |  | 0
Other expense 2 |  | 0
Total Other Expenses |  | 0
Reserve for Contingencies |  | 0
Working Capital |  | 0
SUMMARY STATEMENT
Sources of Capital
Owners' and other investments |  | 0
Bank loans |  | 0
Other loans |  | 0
Total Source of Funds |  | 0
Startup Expenses
Buildings/real estate |  | 0
Leasehold improvements |  | 0
Capital equipment |  | 0
Location/administration expenses |  | 0
Opening inventory |  | 0
Advertising/promotional expenses |  | 0
Other expenses |  | 0
Contingency fund |  | 0
Working capital |  | 0
Total Startup Expenses |  | 0
SECURITY AND COLLATERAL FOR LOAN PROPOSAL
Collateral for Loans |  | Value |  | Description
Real estate |  | 120000 |  | Residence at Main St., Seattle, WA
Other collateral |  | 0
Other collateral |  | 0
Other collateral |  | 0
Owners
Your name here
Other owner
Other owner
Loan Guarantors (other than owners)
Loan guarantor 1
Loan guarantor 2
Loan guarantor 3
Spreadsheet: kate_symes__18479__Palo
Sheet: DJ Palo Verde Electricity Index

 |  |  | Firm | Volume | Firm | Volume | Non Firm | Volume | Non Firm | Volume |  | Sunday & NERC | Volume
 | DATE |  | On [NAME] | [NAME] | [NAME] | [NAME] | On [NAME] | [NAME] | [NAME] | [NAME] |  | 24 HOUR | [NAME]
 | 2001-01-19 00:00:00 |  | 452.36 | 4400 | 226.5 | 2000
 | 2001-01-18 00:00:00 |  | 379.51 | 8960 | 214.86 | 2800 | 279.1 | 6115 | 157.96 | 2108
 | 2001-01-17 00:00:00 |  | 220.81 | 12080 | 122 | 3800 | 232.88 | 4018 | 186.65 | 824
 | 2001-01-16 00:00:00 |  | 173.04 | 18112 | 105.14 | 4120 | 231.33 | 632 | 127.03 | 579
 | 2001-01-15 00:00:00 |  | 173.04 | 18112 | 104.82 | 3960 | 169.46 | 718 | 107.24 | 593
 | 2001-01-14 00:00:00 |  | 152.5 | 0 | 103 | 0 | 130.52 | 713 | 116.11 | 446 |  | 107.23 | 13560
 | 2001-01-13 00:00:00 |  | 152.77 | 14160 | 107.23 | 4520 | 138.98 | 1547 | 120.82 | 1165
 | 2001-01-12 00:00:00 |  | 159.03 | 18032 | 90.92 | 3800 | 160.71 | 727 | 98 | 450
 | 2001-01-11 00:00:00 |  | 160.31 | 19472 | 90.92 | 3800 | 153.64 | 1669 | 94.86 | 1106
 | 2001-01-10 00:00:00 |  | 143.16 | 18208 | 84.37 | 3352 | 129.46 | 2981 | 93.14 | 1118
 | 2001-01-09 00:00:00 |  | 132.19 | 14400 | 75.61 | 4552 | 145.14 | 850 | 87.82 | 1753
 | 2001-01-08 00:00:00 |  | 127.4 | 15728 | 68.15 | 5768 | 140.11 | 1652 | 87.68 | 460
 | 2001-01-07 00:00:00 |  | 121.67 | 2400 | 65 | 800 | 84.12 | 1047 | 58.43 | 682 |  | 69.34 | 16944
 | 2001-01-06 00:00:00 |  | 121.11 | 22672 | 71.97 | 5784 | 90.26 | 442 | 59.63 | 622
 | 2001-01-05 00:00:00 |  | 121.35 | 23072 | 72.24 | 5984 | 105.21 | 932 | 98.02 | 734
 | 2001-01-04 00:00:00 |  | 131.61 | 14064 | 79.75 | 6272 | 120.52 | 512 | 71.21 | 514
 | 2001-01-03 00:00:00 |  | 143.06 | 13168 | 85.45 | 3584 | 129.29 | 613 | 75.14 | 791
 | 2001-01-02 00:00:00 |  | 149.82 | 10992 | 93.38 | 2840 | 124.91 | 1327 | 56.75 | 526
 | 2001-01-01 00:00:00 |  | 145 | 0 | 100 | 0 | 70.68 | 2284 | 50.55 | 1025 |  | 93.52 | 7320
 | 2000-12-31 00:00:00 |  | 94.03 | 2480 | 88.53 | 680 | 55.11 | 1961 | 56.69 | 816 |  | 89.07 | 1992
 | 2000-12-30 00:00:00 |  | 121.88 | 6160 | 88.79 | 1344 | 90.2 | 1203 | 69.44 | 897
 | 2000-12-29 00:00:00 |  | 169.36 | 5600 | 86.08 | 1088 | 146.94 | 2282 | 91.56 | 880
 | 2000-12-28 00:00:00 |  | 169.36 | 5600 | 86.08 | 1088 | 138.35 | 2041 | 123.17 | 293
 | 2000-12-27 00:00:00 |  | 232 | 10048 | 123.85 | 728 | 128.78 | 2370 | 96.27 | 690
 | 2000-12-26 00:00:00 |  | 250.55 | 12960 | 173.75 | 800 | 124.75 | 1488 | 90.47 | 590
 | 2000-12-25 00:00:00 |  | 217.21 | 2080 | 175 | 0 | 78.91 | 709 | 55.11 | 871 |  | 204.22 | 10800
 | 2000-12-24 00:00:00 |  | 217.21 | 2080 | 175 | 0 | 92.39 | 584 | 65.56 | 160 |  | 204.22 | 10800
 | 2000-12-23 00:00:00 |  | 276.77 | 11728 | 192.64 | 2800 | 140 | 35 | 121.09 | 184
 | 2000-12-22 00:00:00 |  | 276.77 | 11728 | 192.64 | 2800 | 267.5 | 0 | 80 | 375
 | 2000-12-21 00:00:00 |  | 276.77 | 11728 | 192.64 | 2800 | 252.65 | 1831 | 132.45 | 530
 | 2000-12-20 00:00:00 |  | 269.33 | 15200 | 190.33 | 2688 | 198.54 | 3261 | 151.82 | 927
Spreadsheet: 873717d1720260865-formula-on-drag-returning-values-not-required-excel-help-formula-error
Sheet: Sheet1

 |  |  |  |  | date range | 2024-06-24 00:00:00 | 2024-06-28 00:00:00
itemName | itemsViewed | itemRevenue | date |  | item name | revenue
Red Jumper | 0 | 44 | 2024-06-24 00:00:00 |  | Red Jumper
Blue Coat | 0 | 100 | 2024-06-25 00:00:00 |  | Blue Coat
Pink Skirt | 0 | 200 | 2024-06-26 00:00:00 |  | Pink Skirt
Purple t-shirt | 0 | 44 | 2024-06-27 00:00:00 |  | Purple t-shirt
Red Shoes | 0 | 555 | 2024-06-28 00:00:00 |  | Red Shoes
Spreadsheet: 599463d1543093580-solver-not-maximizing-stocks
Sheet: Summary

 |  |  |  | 2018-11-22 00:00:00 |  |  |  |  |  |  |  | Solver
Equity | Ticker | Sector | Sub Sector | Rating | Morning Star | Current Price | 1 Mo % | Quantity | Total | % of Portfolio |  | High Target | 225000
AbbVie | ABBV | Health Care | BioTech | C | 3 |  |  | 353 |  |  |  | Low Target | 215000
Apple | AAPL | IT | Tech Hardware | B | 3 |  |  | 0 |  |  |  | Total
Bank of America | BAC | Financial | Banks | B | 3 |  |  | 0 |  |  |  | Holdings
Buckle | BKE | Consumer Des | [NAME] | C | - |  |  | 0 |  |  |  | % Growth
Caterpillar | CAT | Industrials | Construction | C | 4 |  |  | 250
Citigroup | C | Financial | Banks | C | 4 |  |  | 0
Chevron | CVX | Energy | Oil and Gas Integrated | B | 4 |  |  | 109
Coca-Cola | COKE | [NAME] | Soft-Drinks | C | - |  |  | 166
Constellation Brands | STZ | [NAME] | Distillers | D | 3 |  |  | 0
DaVita | DVA | Health Care | Services | B | 4 |  |  | 0
Ebay | EBAY | Consumer Des | Internet Retail | C | 4 |  |  | 0
[NAME] | ECA | Energy | Oil and Gas Exploration | A | 3 |  |  | 0
ExxonMobil | XOM | Energy | Oil and Gas Integrated | C | 4 |  |  | 0
Facebook | FB | Communication Services | Interactive Media | C | 4 |  |  | 0
General Motors | GM | Consumer Des | Auto | B | 4 |  |  | 903
Amazon | AMZN | Consumer Des | Internet Retail | B | 4 |  |  | 0
Gilead Sciences | GILD | Health Care | BioTech | B | 4 |  |  | 0
H.B.Fuller | FUL | Materials | Chemicals | C | - |  |  | 692
[NAME] | HLT | Consumer Des | Hotels | D | 4 |  |  | 441
IBM | IBM | IT | Services | C | 4 |  |  | 0
Intel | INTC | IT | Semiconductors | B | 4 |  |  | 3
J.P. Morgan Chase | JPM | Financial | Banks | A | 3 |  |  | 12
[NAME] | KMI | Energy | Oil and Gas Storage | C | 4 |  |  | 0
Las Vegas Sands | LVS | Consumer Des | Casinos | C | 4 |  |  | 0
[NAME]'s | LOW | Consumer Des | Home Improv | B | 3 |  |  | 0
[NAME] | [NAME] | Consumer Des | [NAME] | C | 1 |  |  | 0
Merck&Co | MRK | Health Care | Pharm | C | 2 |  |  | 0
Microsoft | MSFT | Internet | Systems Software | A | 4 |  |  | 12
Micron Technology | MU | IT | Semiconductors | B | 3 |  |  | 0
Netflix | NFLX | Communication Services | Movies | F | 1 |  |  | 10
Norfolk Southern | NSC | Industrials | Railroads | C | 3 |  |  | 0
Novartis | NVS | Health Care | Pharm | B | 3 |  |  | 0
PepsiCo | PEP | [NAME] | Soft-Drinks | B | 4 |  |  | 0
Pfizer | PFE | Health Care | Pharm | A | 3 |  |  | 25
Polaris Indistrucies | PII | Consumer Des | Leisure | D | 4 |  |  | 0
Regions Financial | RF | Financial | Banks | B | 3 |  |  | 0
Target | TGT | Consumer Des | [NAME] | A | 3 |  |  | 0
United Parcel Service | UPS | Industrials | Logistics | D | 3 |  |  | 0
Upwork | UPWK | Industrials | Services | - | - |  |  | 0
US Bankcorp | USB | Financial | Banks | B | 3 |  |  | 0
Walt Disney | DIS | Communication Services | Entertainment | C | 4 |  |  | 0
United | UAL | Industrials | Airlines | A | 3 |  |  | 25
Spreadsheet: 053b2228-9793-4c61-b7d5-187dbc70a652
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 | Unnamed: 13 | Unnamed: 14 | Unnamed: 15 | Unnamed: 16 | Unnamed: 17 | Unnamed: 18 | Unnamed: 19
 |  |  |  |  |  |  |  |  |  |  | ACTA D'AVALUACIÓ FINAL DEL CURS
 |  |  |  |  |  |  |  |  |  |  | CERTIFICAT D'ASSISTÈNCIA (BOIB núm. 66 del 2/06/2001 Art. 22 .1a)
 |  |  | [NAME] preferentment a:
 |  |  |  |  |  |  |  | Persones ocupades
 |  |  |  |  |  |  |  | Persones desocupades
 |  | CENTRE COL·LABORADOR:
 |  | [NAME] D'IMPARTICIÓ:
 |  | DENOMINACIÓ DEL CURS:
 |  | NÚM. D'EXPEDIENT: |  |  |  |  |  |  |  |  |  |  |  |  | HORES:
 |  | DATA D'INICI: |  |  |  |  |  |  |  |  | DATA D'ACABAMENT:
 | RELACIÓ D'ALUMNES |  |  |  |  |  |  |  |  |  |  | DNI |  |  |  | % HORES |  |  | APTE/NO APTE
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
 | PER L´ENTITAT IMPARTIDORA DEL CURS |  |  |  |  |  |  |  |  |  |  |  |  |  |  | PER L'ADMINISTRACIÓ
 | El director |  |  |  |  |  | El/s docent/s del curs |  |  |  |  |  |  |  |  | El tècnic de Seguiment
 | del centre
 | (signatura i segell) |  |  |  |  |  | (signatura) |  |  |  |  |  |  |  |  | (signatura i segell)
 |  |  |  |  |  |  |  |  |  |  |  | Palma,
Spreadsheet: 884729d1733985972-find-data-within-a-dynamic-range-calendar-feed-2-
Sheet: data

 | 2025-03-21 00:00:00
 | ID | Project | Review
 | P0404 | Project AAA | R5
 | P0562 | Project AAB | R7
 | P0578 | Project CGA | R7
 | 2025-03-07 00:00:00
 | ID | Project | Review
 | P0702 | Project MRG | R7
 | P0573 | Project RSA | R6
 | 2025-02-04 00:00:00
 | ID | Project | Review
 | P0509 | Project HRD | R7
 | P0573 | Project RSA | R5
 | 2022-12-18 00:00:00
 | ID | Project | Review
 | P0404 | Project AAA | R4
 | P0573 | Project RSA | R4
 | P0206 | Project MES | R5
 | P0702 | Project MRG | R6
Spreadsheet: 09e6a2e2-2356-4f26-b5a7-d165817acf12
Sheet: RMTP

Team | [NAME] | Set | PPG | PPB | 15PG
Auburn A | Huskie Bowl (Uber) | RMTPB | 422 | 25.6 | 8.5
Auburn B | Huskie Bowl (Standard) | RMTPB | 362.3 | 17.81
Belvidere A | Huskie Bowl (Standard) | RMTPB | 81.7 | 8.41
Belvidere B | Huskie Bowl (Standard) | RMTPB | 40.6 | 6.96 | 0
Belvidere North A | Huskie Bowl (Uber) | RMTPB | 296 | 22.91 | 5.1
Belvidere North B | Huskie Bowl (Standard) | RMTPB | 169.4 | 10.32
Carbondale | Huskie Bowl (Uber) | RMTPB | 383.5 | 24.48 | 7.3
Christian Life | Huskie Bowl (Standard) | RMTPB | 65.6 | 6.94
Fenton | Huskie Bowl (Standard) | RMTPB | 355 | 18.07
IMSA A | Huskie Bowl (Uber) | RMTPB | 359.5 | 24.05 | 6.7
IMSA B | Huskie Bowl (Standard) | RMTPB | 227.2 | 15.5
IMSA C | Huskie Bowl (Standard) | RMTPB | 66.7 | 7.22
Keith Country Day | Huskie Bowl (Standard) | RMTPB | 234.4 | 15.3 | 2
Lisle | Huskie Bowl (Standard) | RMTPB | 155 | 9.86
Loyola A | Huskie Bowl (Uber) | RMTPB | 399.5 | 25.61 | 6.6
Loyola B | Huskie Bowl (Standard) | RMTPB | 231.7 | 15.35
Maine South A | Huskie Bowl (Standard) | RMTPB | 285.6 | 19.59
Maine South B | Huskie Bowl (Standard) | RMTPB | 176.7 | 15
New Trier | Huskie Bowl (Uber) | RMTPB | 289.5 | 23.73 | 3.8
[NAME] | Huskie Bowl (Standard) | RMTPB | 317.8 | 18.67
Saint Viator A | Huskie Bowl (Standard) | RMTPB | 267.2 | 14.9
Saint Viator B | Huskie Bowl (Standard) | RMTPB | 198.3 | 11.95
UIC College Prep | Huskie Bowl (Standard) | RMTPB | 94.4 | 8.37
Westmont | Huskie Bowl (Standard) | RMTPB | 168.9 | 13.18
Spreadsheet: 712922d1610476613-set-references-to-separate-tabs-to-absolute-purpla_ex
Sheet: RESULT

Comparing Long Produce |  |  |  |  |  | Comment:
 |  | Length (in.) | Kilocalories | Kilocalories per Inch
Results if I drag formula down & change "MAIN" to "COMPARE" |  |  |  |  |  | All relative references change, so the cell reference breaks, i.e. doesn't include the top row.
Results if I set all references to absolute, drag down, & change "MAIN" to "COMPARE" |  |  |  |  |  | Cell references remain the same, but cell E5 does not reference externally & thus calculates via row 3 instead of row 5.
Intended Result | [NAME] | 7 | 10500 | 1500
 | The goal is for these cell references to remain absolute… |  |  | while these references remain relative.
Spreadsheet: 50930d1250525022-is-there-a-way-to-use-a-referenced-formula-for-different-data-calculating
Sheet: Sheet1

 |  |  |  |  |  |  | add | multiply | subtract | divide
1 | 10 | -9 | subtract |  |  |  | 11 | 10 | -9 | 0.1
2 | 20 | -18 | subtract |  |  |  | 22 | 40 | -18 | 0.1
3 | 30 | 90 | multiply |  |  |  | 33 | 90 | -27 | 0.1
4 | 40 | -36 | subtract |  |  |  | 44 | 160 | -36 | 0.1
5 | 50 | 55 | add |  |  |  | 55 | 250 | -45 | 0.1
Spreadsheet: 839972d1692340630-textsplit-function-is-it-possible-to-spill-an-empty-cell-with-zero-txtsplit-gk-1-
Sheet: Sheet1

 |  |  |  |  |  |  |  |  |  |  |  |  |  | Mockup |  |  |  |  |  |  |  |  | GK
 | # Name |  | Style Pnts | E1 | E2/ LP | Speed |  | E1 | E2 | LP | Speed |  |  | Style | Points | E1 | E2 | LP | Speed |  |  |  | E1 | E2 | LP | Speed
 | 2 Sir [NAME] |  | ++E/P 4 | 86 | 90/ 71 * | 73* |  |  |  | 71 |  |  |  | E/P | 4 | 86 | 90 | 71 | 73 |  |  |  |  | 90 | 71 | 73
 | 5 Moonflyer |  | P 1 | 84 | 85/ 72 * | 68* |  |  |  | 72 |  |  |  | P | 1 | 84 | 85 | 72 | 68 |  |  |  | 84 | 85 | 72 | 68
 | 1 Saratoga Sky |  | +E/P 3 | 85 | 76/ 57 * | 64* |  |  |  | 57 |  |  |  | E/P | 3 | 85 | 76 | 57 | 64 |  |  |  | 85 | 76 | 57 | 64
 | 3 Subversive |  | NA | 87 | 77/ 75 * | 63* |  |  |  | 75 |  |  |  | NA | 0 | 87 | 77 | 75 | 63 |  |  |  | 87 | 77 | 75 | 63
 | 6 It's a Pity |  | P 3 | 63 | 74/ 72 * | 63* |  |  |  | 72 |  |  |  | P | 3 | 63 | 74 | 72 | 63 |  |  |  | 63 | 74 | 72 | 63
 | 9 The Golden One |  | S | 93 | 92/ 57 * | 63* |  |  |  | 57 |  |  |  | S | 0 | 93 | 92 | 57 | 63 |  |  |  | 93 | 92 | 57 | 63
 | 4 Keep Dem Talking |  | E 4 | 85 | 80/ 73 * | 62* |  |  |  | 73 |  |  |  | E | 4 | 85 | 80 | 73 | 62 |  |  |  | 85 | 80 | 73 | 62
 | 7 M B's Munning |  | NA |  |  |  |  |  |  |  |  |  |  | NA | 0 | 0 | 0 | 0 | 0 |  |  |  | 0 | 0 | 0 | 0
 | 8 Lucky James |  | NA |  |  |  |  |  |  |  |  |  |  | NA | 0 | 0 | 0 | 0 | 0 |  |  |  | 0 | 0 | 0 | 0
 | 10 Rockin the Bank |  | E 5 |  |  |  |  |  |  |  |  |  |  | E | 5 | 0 | 0 | 0 | 0 |  |  |  | 0 | 0 | 0 | 0
 |  |  |  |  |  |  |  |  |  |  |  |  |  | rorya modified |  | GK
 | # Name |  | Style Pnts | E1 | E2/ LP | Speed |  | E1 | E2 | LP | Speed |  |  | Style | Points | E1 | E2 | LP | Speed
 | 2 Sir [NAME] |  | ++E/P 4 | 86 | 90/ 71 * | 73* |  |  |  |  |  |  |  |  | 4 |  | 90 | 71 | 73
 | 5 Moonflyer |  | P 1 | 84 | 85/ 72 * | 68* |  |  |  |  |  |  |  |  | 1 | 84 | 85 | 72 | 68
 | 1 Saratoga Sky |  | +E/P 3 | 85 | 76/ 57 * | 64* |  |  |  |  |  |  |  |  | 3 | 85 | 76 | 57 | 64
 | 3 Subversive |  | NA | 87 | 77/ 75 * | 63* |  |  |  |  |  |  |  |  | 0 | 87 | 77 | 75 | 63
 | 6 It's a Pity |  | P 3 | 63 | 74/ 72 * | 63* |  |  |  |  |  |  |  |  | 3 | 63 | 74 | 72 | 63
 | 9 The Golden One |  | S | 93 | 92/ 57 * | 63* |  |  |  |  |  |  |  |  | 0 | 93 | 92 | 57 | 63
 | 4 Keep Dem Talking |  | E 4 | 85 | 80/ 73 * | 62* |  |  |  |  |  |  |  |  | 4 | 85 | 80 | 73 | 62
 | 7 M B's Munning |  | NA |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 0 | 0 | 0
 | 8 Lucky James |  | NA |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 0 | 0 | 0
 | 10 Rockin the Bank |  | E 5 |  |  |  |  |  |  |  |  |  |  |  | 5 | 0 | 0 | 0 | 0
Spreadsheet: 94368d1294210357-matching-information-from-two-versions-of-a-worksheet-matchdataontwosheets
Sheet: Sheet1

ID | Title | First Name | Second Name | On  Sheet2?
000006 | Mr. | Sherlock | [NAME]
000007 | Mr. | Atticus | Finch
000008 | Mrs. | Molly | Bloom
000009 | Mr. | Stephen | Dedalus
000010 | Mrs. | Lily | [NAME]
000011 | Mrs. | Holly | Golightly
000012 | Mr. | Gregor | [NAME] | Match found
000013 | Mr. | Invisible | Man | Match found
000014 | Mrs. | [NAME] | [NAME] | Match found
000015 | Mrs. | Aureliano | Buendia | Match found
000016 | Mrs. | Clarissa | Dalloway | Match found
000017 | Mr. | Ignatius | Reilly | Match found
000018 | Mr. | George | [NAME] | Match found
000020 | Mr. | [NAME] | Bigger | Match found
000021 | Mr. | Nick | Adams | Match found
000022 | Mr. | [NAME] | [NAME] | Match found
000023 | Mrs. | [NAME] | O'Hara | Match found
000024 | Mr. | Scout | Finch | Match found
000025 | Mr. | [NAME] | [NAME] | Match found
000026 | Mr. | Conrad | Kurtz | Match found
000027 | Mr. | Rondo | [NAME]
000028 | Mr. | [NAME] | Piovasco
000029 | Mr. | [NAME] | the Pooh
000030 | Mr. | [NAME] | Matzerath
000038 | Mrs. | Wilma | Filntstone | Match found
000039 | Mr. | Barney | Rubble | Match found
000040 | Mrs. | Betty | Rubble | Match found
000041 | Mr. | Augustus | McCrae | Match found
000042 | Mr. | [NAME] | Spade | Match found
000043 | Mr. | Judge | Holden | Match found
000044 | Mr. | Willie | [NAME]
000045 | Mr. | Stephen | Maturin
000046 | Mr. | [NAME] | Pan
000047 | Mr. | [NAME] | Duck
000048 | Miss | [NAME] | [NAME]
000053 | Mr. | Jake | Barnes | Match found
000054 | Miss | Phoebe | Caulfield | Match found
000055 | Miss | [NAME] | Crawford | Match found
000056 | Mrs. | Antonia | [NAME] | Match found
000057 | Mr. | [NAME] | Willis | Match found
000058 | Mr. | Gulley | Jimson | Match found
000059 | Mr. | Big | Brother | Match found
000060 | Mr. | [NAME] | Ripley | Match found
000061 | Mr. | [NAME] | [NAME]
000062 | Mr. | [NAME] | Moriarty
000063 | Mrs. | Charlotte | White
000064 | Mr. | T.S. | Garp
000065 | Mr. | Nick | [NAME]
000066 | Mr. | [NAME] | Bond
000067 | Mr. | [NAME] | Wayne
000068 | Mr. | [NAME] | Firmin
000069 | Mr. | Benjy | Faulkner
000070 | Mr. | [NAME] | Kinbote
000071 | Mrs. | [NAME] | [NAME]
000072 | Mr. | [NAME] | Ryder
000086 | Mrs. | Hana | [NAME] | Match found
000087 | Ms. | [NAME] | [NAME] | Match found
000088 | Mr. | [NAME] | [NAME] | Match found
000089 | Mr. | [NAME] | Bendrix | Match found
000090 | Mr. | Lennie | Small | Match found
000091 | Mr. | Never | Everwas | Match found
000092 | Mr. | Alden | Pyle | Match found
000093 | Mr. | [NAME] | Kimball | Match found
000094 | Mr. | Newland | [NAME] | Match found
000095 | Mr. | Clyde | Griffiths | Match found
000096 | Mr. | Eeyore | Milne | Match found
000097 | Mr. | Quentin | Compson | Match found
000098 | Mr. | [NAME] | Marlow | Match found
000099 | Miss | Celie | Walker | Match found
000100 | Mrs. | Augie | March | Match found