tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 9cff9660-53d4-4284-9f97-e15a70fcae32
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7
Name |  |  |  | Major/Classification
Local Address |  |  |  |  |  |  | Telephone
Date of Referral
Reason for Referral
Referred to:
 |  | Academic Affairs Office
 |  | Business / Cashier's Office
 |  | Career Services
 |  | Center for Teaching, Learning and Advising (CTLA)
 |  | Disability Services & Veterans Affairs
 |  | Financial Aid Office
 |  | INSPIRE Student Support Services (Reading, Writing, Math)
 |  | Learning Plus Lab
 |  | Reading Lab (ASDS)
 |  | Student Affairs Office
 |  | Student Counseling, Assessment, and Development Center (SCAD)
 |  | University College
 |  | [NAME] Center
 |  | Other
(Person Making Referral) |  |  |  |  |  | (Date Received by Referred Unit)
Spreadsheet: 772318d1647197283-add-numbers-beside-a-column-filled-with-numbers-based-on-a-list-of-criteria-excel-example
Sheet: Excel example

 | List 1 |  |  | List 2 | List 3
 | 1911 |  |  | 1440 | 1439 |  | The light blue coloured cells (column C) are the ones that I would like to quickly fill with numbers that match between columns 2 and 3 (according to the examples in C2 - C11).
 | 9060 |  |  | 1450 | 1441 |  | List 1 (column B) contains numbers in a random order from List 2 (column E). Basically, I would like to match numbers in List 1 with the numbers from List 3, based on the vertical pair in lists 2 and 3.
 | 1440 |  |  | 1700 | 1701
 | 1777 |  |  | 1710 | 1701
 | 1777 |  |  | 1762 | 1762
 | 1810 |  |  | 1777 | 199999
 | 1440 |  |  | 1800 | 1849
 | 1440 |  |  | 1810 | 1819
 | 1440 |  |  | 1910 | 1920
 | 9080 |  |  | 1911 | 1921
 | 9320 |  |  | 1912 | 1922
 | 1912 |  |  | 1925 | 1911
 | 9355 |  |  | 1930 | 1910
 | 1942 |  |  | 1935 | 1912
 | 9355 |  |  | 1940 | 1913
 | 1940 |  |  | 1941 | 1930
 | 9070 |  |  | 1942 | 1914
 | 1710 |  |  | 1990 | 199999
 | 9020 |  |  | 2000 | 2000
 | 1710 |  |  | 2170 | 2141
 | 9020 |  |  | 2171 | 2143
 | 1710 |  |  | 2250 | 2251
 | 9020 |  |  | 2860 | 2860
 | 1941 |  |  | 2870 | 2871
 | 9330 |  |  | 2880 | 2871
 | 9330 |  |  | 2888 | 2961
 | 1440 |  |  | 2920 | 2921
 | 1440 |  |  | 2950 | 2961
 | 2920 |  |  | 2951 | 2979
 | 2950 |  |  | 5200 | 3030
 | 5200 |  |  | 7700 | 3181
 | 1925 |  |  | 7800 | 3178
 | 7940 |  |  | 7810 | 3178
 | 1930 |  |  | 7850 | 3184
 | 7940 |  |  | 7905 | 3176
 | 1930 |  |  | 7910 | 3180
 | 9340 |  |  | 7911 | 3180
 | 9340 |  |  | 7915 | 3179
 | 1930 |  |  | 7920 | 3183
 | 1930 |  |  | 7925 | 3172
 | 2870 |  |  | 7930 | 3171
 | 7911 |  |  | 7940 | 3175
 | 7930 |  |  | 7945 | 3170
 | 1930 |  |  | 7960 | 3170
 | 2950 |  |  | 7965 | 3070
 | 2920 |  |  | 9020 | 5050
 | 1930 |  |  | 9030 | 5110
 | 1930 |  |  | 9060 | 5120
 | 1930 |  |  | 9070 | 5140
 | 1777 |  |  | 9080 | 5130
 | 1710 |  |  | 9240 | 5101
 | 1930 |  |  | 9300 | 5520
 | 1710 |  |  | 9310 | 5500
 | 1930 |  |  | 9320 | 5530
 | 1930 |  |  | 9330 | 5600
 | 7700 |  |  | 9340 | 5550
 | 1710 |  |  | 9350 | 5580
 | 1935 |  |  | 9355 | 5540
 | 1935 |  |  | 9360 | 5510
 | 1935 |  |  | 9500 | 5690
 | 7940 |  |  | 9540 | 5601
 | 1777
 | 1777
 | 1777
Spreadsheet: eacfa50c-c340-4e1d-8739-538c02ebe385
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | SWIM | T1 | BIKE | T2 | RUN | POSITION | TOTAL TIME
5744 | 7456 | Peggy | Crome | GBR | 0 | 00:16:50 | 00:04:40 | 00:43:21 | 00:03:36 | 00:31:21 | 1 | 01:39:47
5744 | 41190 | Georgina | Jennings | GBR | 0 | [NAME] | 00:04:13 | 00:36:29 | 00:03:14 | [NAME] | 2 | 01:43:57
Spreadsheet: 329161d1404218424-need-to-copy-9-cells-to-another-worksheet-when-barcode-is-scanned-pallet
Sheet: Sheet1

Pallets | box1 | [NAME] | box3 | box4 | box5 | box6 | box7 | box8 | box9 | Enter the pallet |  |  | box1 | [NAME] | box3 | box4 | box5 | box6 | box7 | box8 | box9
p1 | toys | tshirt | food | books | NFI | apples | Carrot | soup | soap | p1 |  |  | toys | tshirt | food | books | NFI | apples | Carrot | soup | soap
p2 | toys | tshirt | food | books | NFI | apples | Carrot | soup | soap
p3 | soap | soap | soap | soap | soap | soap | soap | soap | soap
p4 | toys | tshirt | food | books | NFI | apples | apples | apples | apples
p5 | toys | tshirt | food | books | NFI | apples | Carrot | soup | soap
p6 | toys | tshirt | tshirt | tshirt | tshirt | tshirt | Carrot | soup | soap
Spreadsheet: 273235d1382642738-fromula-to-count-number-of-records-fro-each-month-per-salesperson-example
Sheet: Data

Client | Date | Sales Rep
A1 | 2013-01-03 00:00:00 | [NAME]
A2 | 2013-01-04 00:00:00 | Mark
A3 | 2013-01-05 00:00:00 | [NAME]
A4 | 2013-01-06 00:00:00 | Brent
A5 | 2013-01-07 00:00:00 | Mark
A6 | 2013-01-15 00:00:00 | Mark
A7 | 2013-01-16 00:00:00 | Brent
A8 | 2013-01-17 00:00:00 | [NAME]
A9 | 2013-01-18 00:00:00 | Brent
A10 | 2013-02-24 00:00:00 | Brent
A11 | 2013-02-25 00:00:00 | [NAME]
A12 | 2013-02-26 00:00:00 | Brent
A13 | 2013-03-03 00:00:00 | brent
A14 | 2013-03-06 00:00:00 | Mark
A15 | 2013-03-07 00:00:00 | Mark
A16 | 2013-03-08 00:00:00 | [NAME]
Spreadsheet: 683117d1592493309-inventory-with-ability-to-exclude-transactions-by-date-chemical-inventory
Sheet: Inventory

Product | Alliance | Scottsbluff | Torrington | TOTAL
Amine 4
[NAME]
Bedliner
Choice Weathermaster (2x2.5 gal)
[NAME] (2x2.5 gal)
Ethofumesate 4SC (2x2.5 gal)
Glystar Plus (2x2.5 gal)
Intensity One (2x2.5 gal)
LI 700 (2x2.5 gal)
Mad Dog 5.4 (Bulk)
Maximizer (2x2.5 gal)
[NAME] (2x2.5 gal)
Outlook (2x2.5 gal)
Roundup Powermax (Bulk)
[NAME] (2.5 gal)
[NAME] (2x2.5 gal)
[NAME] (4x1 gal)
[NAME] (2x2.5 gal)
Spreadsheet: 103778d1301490321-making-a-spreadsheet-user-friendly-interfaceserver
Sheet: add to sales

home button | diary | search | rightmove | properties | rentals | sales
 |  | Title/ Name | georgia
 |  | Last Name | green
 |  | Address | a house
 |  | Postcode | l31 7bn
 |  | Telephone | [PHONE]
 |  | e-mail | [EMAIL]
 |  | Price
Spreadsheet: 716298d1612165468-unique-distinct-dependent-lists1-three-columns-test_unique-gk5
Sheet: Sheet1

order # id | Product | Continent |  | ID | Product | Continent
1010 | Graphics card | Europe |  | 1010 | Harddisk | Us
1010 | Soundcard | Asia
1010 | Motherboard | Us
1010 | Soundcard | Europe
1010 | Harddisk | *
1020 | Graphics card | Asia
1020 | Keyboard | Us
1020 | Motherboard | Europe
1020 | Graphics card | Us
1020 | Keyboard | Us
1030 | Harddisk | *
Spreadsheet: 697070d1601139164-sum-if-function-returning-0-similar-sumifs-working-fine-portfolio-tracker
Sheet: Asset Allocation

 |  |  |  |  | 0.05
 | Asset Allocations by Category Level One |  |  |  | 0.25
 | Asset Class | Target Allocation | Actual | Difference | Threshold | Value USD Equivalent | Value CAD Equivalent
 | North America Equity | 0.54
 | Bonds | 0.2
 | Real Estate | 0.1
 | Cash | 0.05
 | Commodities | 0.05
 | Intl. Equity | 0.05
 | Crypto | 0.01
 | Total
 | Allocation by Account | Actual (%) | Value
 | Questrade - TFSA
 | TD - TFSA
 | TD - Chequing
 | TD - RRSP
 | Currency | Actual % | Value
 | CAD
 | USD
Spreadsheet: 855271d1704899110-excel-calendar-display-to-do-item-across-calendar-dates-test-calendar-v1
Sheet: August

 |  |  | AUGUST
 |  |  | SUNDAY |  | MONDAY |  | TUESDAY |  | WEDNESDAY |  | THURSDAY |  | FRIDAY |  | SATURDAY
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4
8
6
2
Spreadsheet: 763975d1642515795-formula-to-determine-price-based-on-quantity-used-example
Sheet: Sheet1

Parent Code | [NAME] | Item Code | Description | Size | Cost
100 | A |  | Sugar, White - 10# | 1 | 4.98
100 | B |  | Sugar, White - 1# | 10
100 | C |  | Sugar, White - 1 cup | 20
100 | D |  | Sugar, White - 1 tbs | 362.5
100 | E |  | Sugar, White - 1tsp | 10875.5
101 | A |  | [NAME], [NAME] 50# | 1 | 53.67
101 | B |  | [NAME], [NAME] 1# | 50
101 | C |  | [NAME], [NAME] cup | 166.5
101 | D |  | [NAME], [NAME] tbs | 2903
101 | E |  | [NAME], [NAME] tsp | 8706
Spreadsheet: 201794d1356120458-help-with-autonumber-while-skipping-rows-book1
Sheet: Sheet1

 | text
 | text
 | text | Date |  | 9 | 10 | 11 | 12 | 13 | 14 | 15
 | CLIENT |  |  | Sun | Mon | Tue | Wed | Thur | Fri | Sat | Units
 | state |  | Staff
1 | client name | [NAME]
 |  | [NAME]
 |  | [NAME]
 |  | [NAME]
2 | client name | [NAME]
 |  | [NAME]
 |  | [NAME]
 |  | [NAME]
3 | client name | [NAME]
 |  | [NAME]
 |  | [NAME]
 |  | [NAME]
4 | client name | [NAME]
 |  | [NAME]
 |  | [NAME]
 |  | [NAME]
5 | client name | [NAME]
 |  | [NAME]
 |  | [NAME]
 |  | [NAME]
6 | client name | [NAME]
 |  | [NAME]
 |  | [NAME]
 |  | [NAME]
7 | client name | [NAME]
 |  | [NAME]
 |  | [NAME]
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8 | client name | [NAME]
 |  | [NAME]
 |  | [NAME]
 |  | [NAME]
9 | client name | [NAME]
 |  | [NAME]
 |  | [NAME]
 |  | [NAME]
10 | client name | [NAME]
 |  | [NAME]
 |  | [NAME]
 |  | [NAME]
1 | client name | [NAME]
 |  | [NAME]
 |  | [NAME]
 |  | [NAME]
2 | client name | [NAME]
 |  | [NAME]
 |  | [NAME]
 |  | [NAME]
3 | client name | [NAME]
 |  | [NAME]
 |  | [NAME]
 |  | [NAME]
4 | client name | [NAME]
 |  | [NAME]
 |  | [NAME]
 |  | [NAME]
5 | client name | [NAME]
 |  | [NAME]
 |  | [NAME]
 |  | [NAME]
6 | client name | [NAME]
 |  | [NAME]
 |  | [NAME]
 |  | [NAME]
7 | client name | [NAME]
 |  | [NAME]
 |  | [NAME]
 |  | [NAME]
8 | client name | [NAME]
 |  | [NAME]
 |  | [NAME]
 |  | [NAME]
9 | client name | [NAME]
 |  | [NAME]
 |  | [NAME]
 |  | [NAME]
10 | client name | [NAME]
 |  | [NAME]
 |  | [NAME]
 |  | [NAME]
Spreadsheet: 842941d1694934206-automatically-updates-score-sheet-live-working-copy-1-
Sheet: SELECTIONS

 | VENUE 1 |  |  |  |  |  |  |  |  |  |  | VENUE 2 |  |  |  |  |  |  |  |  |  |  | Venue 1 points per race |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Venue 2 points per race
NAME | R1 | R2 | R3 | R4 | R5 | R6 | R7 | R8 | R9 | R10 |  | R1 | R2 | R3 | R4 | R5 | R6 | R7 | R8 | R9 | R10 |  | 1ST | 2ND | 3RD | 1ST | 2ND | 3RD | 1ST | 2ND | 3RD | 1ST | 2ND | 3RD | 1ST | 2ND | 3RD | 1ST | 2ND | 3RD | 1ST | 2ND | 3RD | 1ST | 2ND | 3RD | 1ST | 2ND | 3RD | 1ST | 2ND | 3RD | total |  | 1ST | 2ND | 3RD | 1ST | 2ND | 3RD | 1ST | 2ND | 3RD | 1ST | 2ND | 3RD | 1ST | 2ND | 3RD | 1ST | 2ND | 3RD | 1ST | 2ND | 3RD | 1ST | 2ND | 3RD | 1ST | 2ND | 3RD | 1ST | 2ND | 3RD | total
HOPE | 1 | 1 | 5 | 4 | 5 | 3 | 3 | 4 | 2 | 2
FAITH | 4 | 1 | 5 | 5 | 3 | 8 | 3 | 1 | 6 | 1
ab | 3 | 1 | 5 | 5 | 3 | 8 | 3 | 1 | 6 | 1
cb | 5 | 1 | 7 | 5 | 3 | 8 | 3 | 1 | 6 | 2
db | 10 | 1 | 7 | 5 | 3 | 8 | 3 | 1 | 6 | 2
ek | 10 | 1 | 7 | 5 | 3 | 8 | 4 | 2 | 5 | 2
rk | 1 | 1 | 7 | 5 | 1 | 4 | 4 | 2 | 5 | 2
sk | 1 | 1 | 2 | 5 | 1 | 4 | 4 | 2 | 5 | 2
 | 1 | 1 | 2 | 5 | 1 | 4 | 4 | 2 | 5 | 2
 | 1 | 9 | 2 | 6 | 1 | 4 | 1 | 3 | 6 | 3
 | 1 | 9 | 2 | 6 | 1 | 5 | 1 | 3 | 6 | 3
 | 5 | 9 | 2 | 6 | 9 | 5 | 1 | 3 | 6 | 3
 | 5 | 9 | 5 | 6 | 9 | 5 | 3 | 3 | 6 | 3
 | 5 | 9 | 5 | 4 | 9 | 5 | 3 | 3 | 5 | 3
 | 5 | 9 | 5 | 4 | 9 | 8 | 3 | 1 | 5 | 2
 | 5 | 9 | 2 | 4 | 9 | 8 | 4 | 1 | 5 | 2
 | 5 | 9 | 2 | 4 | 9 | 8 | 4 | 1 | 5 | 2
 | 5 | 6 | 2 | 5 | 9 | 5 | 4 | 1 | 7 | 2
 | 10 | 6 | 7 | 5 | 3 | 5 | 4 | 1 | 7 | 3
 | 10 | 6 | 7 | 5 | 3 | 5 | 4 | 1 | 7 | 3
Spreadsheet: 116641d1311962995-multi-line-cell-spliting-sampleadlist-1-
Sheet: Sheet1

Title | Name | Address | Postcode | [NAME] | [NAME] | [NAME] | [NAME]
Mr | [NAME] | Madeup House Imaginary Street Crazy Town Weird Area Silly County | BL4 8LA | [EMAIL] | 123456789 | 9876543210 | 5678901234
Mr | [NAME] | Madeup House Imaginary Street Crazy Town Weird Area Silly County | BL4 8LA | [EMAIL] | 123456789 | 9876543210 | 5678901234
Mr | [NAME] | Madeup House Imaginary Street Crazy Town Weird Area Silly County | BL4 8LA | [EMAIL] | 123456789 | 9876543210 | 5678901234
Spreadsheet: mark_taylor__24661__List
Sheet: Sheet1

Portland General Electric Company
Counter Party Name List
American Electric Power Services Corporation (Ohio Power)
Amoco Canada Petroleum Company, LTD
Amoco Energy Trading Corporation
Aquila Canada Corp
Aquila Energy Marketing
Arizona Public Service Company
Avista Energy, Inc.
Barrett Resources Corporation
Bonneville Power Administration
British Columbia Hydro and Power Authority
Burbank, City of
Cabot Oil & Gas Marketing Corporation
Canby Utility Board
Catex Vitol
Cinergy Marketing Services
Citizens Lehman Power  LP
Clallum County PUD
CNG Energy
Con Agra Energy
Crestar Energy, Inc.
Duke Energy Trading & Marketing (Louis Dreyfus)
Dynegy (Electric Clearinghouse Inc)
e'prime
El Paso Electric Company
El Paso Energy Marketing Canada
Engage Energy Canada LP (Coastal Electric)
Engage Energy Services LP (Coastal Electric)
ENRON Power Marketing
Eugene Water & Electric Board
Glendale, City of
Idaho Power Company
IGI Resources
Illinova Power Marketing, Inc.
LG&E Power Marketing Inc.
Los Angeles Department of Water and Power
Merchant Energy Group of America
N P Energy Inc
Noram Energy Services
[NAME]
Pacific Gas and Electric Energy Trading Canada Corp
Pacific Northwest Generation Cooperative
PacificCorp Power Marketing
PacifiCorp
PG&E Energy Services
PG&E Energy Trading Corporation
Portland, City of
Questar Energy Trading Company
Salt River Project
San Diego Gas & Electric Company
Santa Clara, City of
Sempra (AIG Trading Corporation)
Snohomish County PUD
Southern Energy Marketing
Statoil (Eastern Power Distribution, Inc.)
Texaco Natural Gas
Tractibel Energy Services
Trans Alta Energy Marketing U.S., Inc.
TransAlta Utilities Corporation
U.S. Generating Company
Vantus Energy
Washington Water Power Company
Western Gas Resources
[NAME]
Spreadsheet: 274723d1383206663-mapping-data-to-different-spreadsheets-amanda_reply-2
Sheet: Conditions Unassigned

Conditions Unassigned
Current Status | Date | Last Name | Lender Name | Type of Loan | [NAME] | Purpose | Prop Type | Title Company | Loan Officer | Loan Amount | Processor | Notes |  | Match (All data Row)
Spreadsheet: 164583d1340813567-trying-to-select-a-name-out-of-a-cell-given-by-certain-critera-within-an-adjacent-cell-racertest
Sheet: Sheet1

Racers and Best Time
Events
 | Column1 | Race 1 | Race 2 | Race 3 | Race 4 | Value | Race One |  | Race Two
 | Racer 1 | 42.59 | 41.8 | 40.92 | 42.39
 | [NAME] | 42.59 | 58.53 | 56.68 | 54.68 |  | 2 |  | 2
 | Racer 3 | 42.59 | 33.9 | 56.68 | 25.36 |  | 1 |  | 1
 | [NAME] | 42.59 | 51.49 | 44.62 | 78.27 |  | 3 |  | 3
 | Racer 5 | 42.59 | 51.05 | 54.32 | 47.72 |  | Race Three |  | Race 4
 | Racer 6 | 42.59 | 34.08 | 46.44 | 78.27
 | Racer 7 | 33.75 | 58.53 | 56.68 | 78.27 |  | 2 |  | 2
 | Racer 8 | 24.6 | 25.75 | 33.08 | 22.63 |  | 1 |  | 1
 | Racer 9 | 42.59 | 25.72 | 29.28 | 62.3 |  | 3 |  | 3
Spreadsheet: 14334f31-0ede-4a9d-82e3-26cb029fc023
Sheet: Total US by Qtr & Year

 |  |  |  |  | PricewaterhouseCoopers/National Venture Capital Association
 |  |  |  |  | MoneyTree™ Report, Data: Thomson Reuters
 |  |  |  |  | Total U.S. Investments by Year Q1 1995 - Q3 2012
Quarter | 1995 |  | 1996 |  | 1997 |  | 1998 |  | 1999 |  | 2000 |  | 2001 |  | 2002 |  | 2003 |  | 2004 |  | 2005 |  | 2006 |  | 2007 |  | 2008 |  | 2009 |  | 2010 |  | 2011 |  | 2012
 | # of Deals | Amount Invested | # of Deals | Amount Invested | # of Deals | Amount Invested | # of Deals | Amount Invested | # of Deals | Amount Invested | # of Deals | Amount Invested | # of Deals | Amount Invested | # of Deals | Amount Invested | # of Deals | Amount Invested | # of Deals | Amount Invested | # of Deals | Amount Invested | # of Deals | Amount Invested | # of Deals | Amount Invested | # of Deals | Amount Invested | # of Deals | Amount Invested | # of Deals | Amount Invested | # of Deals | Amount Invested | # of Deals | Amount Invested
1 | 505 | 1704960500 | 587 | 2423792000 | 774 | 3074985300 | 868 | 4145000800 | 936 | 6638020700 | 2163 | 28460744800 | 1323 | 13110764600 | 863 | 6993322900 | 724 | 4402836900 | 740 | 5393442900 | 760 | 5231019900 | 904 | 6634128600 | 905 | 7530666900 | 1055 | 8126012700 | 680 | 3910648900 | 815 | 5183631900 | 894 | 6733415600 | 836 | 6186605000
2 | 465 | 2546374400 | 676 | 3116130000 | 777 | 3674377200 | 912 | 5777028500 | 1332 | 11081875900 | 2143 | 28027621500 | 1239 | 11505396900 | 879 | 6122166200 | 755 | 4995472200 | 877 | 6346479300 | 859 | 6442783500 | 1006 | 7386519200 | 1111 | 7835302800 | 1104 | 8082224900 | 759 | 5183139200 | 1017 | 7130345700 | 1068 | 8129492300 | 935 | 7311129700
3 | 434 | 1705757500 | 603 | 2597618300 | 758 | 3723336800 | 928 | 5391562700 | 1443 | 13604135100 | 1958 | 26626981100 | 1030 | 8284787800 | 710 | 4540147200 | 732 | 4633651800 | 723 | 5096342100 | 810 | 6082612300 | 950 | 6860291600 | 1048 | 8260357400 | 1046 | 7639143800 | 756 | 5440442800 | 877 | 5419351900 | 992 | 7339903800 | 890 | 6488277300
4 | 494 | 2070607900 | 777 | 3212701800 | 914 | 4460510000 | 1023 | 6141864800 | 1893 | 23411301100 | 1778 | 22110899800 | 1003 | 8155918200 | 753 | 4567983100 | 809 | 5655236100 | 870 | 6441200800 | 861 | 5862150300 | 1010 | 6769651400 | 1139 | 8437370000 | 963 | 6243014000 | 937 | 5916642000 | 902 | 5650326600 | 952 | 7241170900
Grand Total | 1898 | 8027700300 | 2643 | 11350242100 | 3223 | 14933209300 | 3731 | 21455456800 | 5604 | 54735332800 | 8042 | 105226247200 | 4595 | 41056867500 | 3205 | 22223619400 | 3020 | 19687197000 | 3210 | 23277465100 | 3290 | 23618566000 | 3870 | 27650590800 | 4203 | 32063697100 | 4168 | 30090395400 | 3132 | 20450872900 | 3611 | 23383656100 | 3906 | 29443982600 | 2661 | 19986012000
 | Source:  PricewaterhouseCoopers/National Venture Capital Association MoneyTree™ Report, Data:  Thomson Reuters
Spreadsheet: 3274aaab-e298-4626-b1d0-45a850ae90c6
Sheet: Sheet1

HOLE | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | OUT | Unnamed: 11
PLACEMENT | Blue | Red | White | Blue | Red | White | Blue | Red | White
DISTANCE | 498 | 276 | 319 | 318 | 180 | 330 | 364 | 261 | 282 | 2828
PAR | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 27
 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | IN | TOTAL
 | Blue | Red | White | Blue | Red | White | Blue | Red | White
 | 290 | 204 | 224 | 342 | 329 | 262 | 399 | 306 | 372 | 2728 | 5556
 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 27 | 54
Spreadsheet: 156803d1337472998-auto-update-for-monthly-balance-countif-for-andyl3
Sheet: Mar

Mar |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | E | P | H
 | 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 |  |  |  | Need formulas to "Auto update from Feb"
[NAME] | E | H | P | H | E | P | P | P | P | H | E | E | E | P | P | P | E | E | E | E | P | P | H | H | E | E | E | P | P | E | H |  |  |  | [NAME] to update balance
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Need formulas to "Auto update from Feb"
[NAME] | P | P | P | E | E | H | H | H | E | E | H | H | H | P | P | P | E | E | E | E | H | H | E | E | E | E | E | H | H | H | P |  |  |  | [NAME] to update balance
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Need formulas to "Auto update from Feb"
[NAME] | E | E | H | E | H | H | H | H | E | H | P | P | E | P | H | H | H | H | E | E | E | E | H | H | P | E | P | P | H | H | E |  |  |  | [NAME] to update balance
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Original Data
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | E | P | H
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 29 | 29 | 33
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 16 | 17 | 27
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 28 | 32 | 31
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 15 | 25 | 20
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 36 | 38 | 28
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 25 | 32 | 14
Spreadsheet: 833193d1686832865-if-statement-uses-more-than-64-levels-of-nesting-excel-for-forum
Sheet: Φύλλο1

Code displayed in product tab | [NAME]] | [NAME]] | [NAME]] | Images | Wholesale net price | Availability
 |  |  |  |  | 7.35
 |  |  |  |  | 0.67
 |  |  |  |  | 0.24
 |  |  |  |  | 6.79
 |  |  |  |  | 1.83
 |  |  |  |  | 5.87
 |  |  |  |  | 1.15
 |  |  |  |  | 13.98
 |  |  |  |  | 3.56
 |  |  |  |  | 2.68
 |  |  |  |  | 2.17
 |  |  |  |  | 11.46
 |  |  |  |  | 4.5
 |  |  |  |  | 7.89
 |  |  |  |  | 7.89
 |  |  |  |  | 2.63
Spreadsheet: 692466d1598380116-stopping-duplicate-conditional-formatting-example
Sheet: Escalations

[NAME] | Restaurant | ID | Original Action | Actual Action | Intake Agent | Notes |  |  | Total
 | C251 |  | Escalation | 911 |  |  |  | 911
 | C417 |  | Escalation | Escalation |  |  |  | Escalation
 | C129 |  | Non-Escalation | Non-Escalation |  |  |  | Non-Escalation
 | C252 |  | Non-Escalation | Non-Escalation |  |  |  | More Info
 | C344 |  | Escalation | 911
 | C361 |  | Escalation | Escalation |  |  |  | High [NAME] |  |  |  |  |  | Restaurant Key:
 | C358 |  | Escalation | 911 |  |  |  | 1) Immediate positive test results (when we have them or have confirmed). |  |  |  |  |  | If Cell is RED then it is a High Alert Restaurant
 | C213 |  | Non-Escalation | Non-Escalation
 | C148 |  | 911 | Non-Escalation |  |  |  | 2) Outbreak potential situations (multiple CMs impacted).
 | C033 |  | Non-Escalation | Non-Escalation |  |  |  |  |  |  |  |  |  | If Cell is ORANGE then it is a California Restaurant (Overrided by HARs)
 | C418 |  | 911 | 911 |  |  |  | 3) COVID-related Hospitalizations of any kind.
 | C217 |  | Non-Escalation | Non-Escalation
 | C148 |  | Non-Escalation | Escalation |  |  |  | 4) Multiple CMs that are testing. |  |  |  |  |  | If cell is YELLOW then the Restaurant has multiple cases (Overrided by HARs/CA)
 |  |  |  |  |  |  |  | Recap email [NAME], [NAME], [NAME], [NAME], [NAME] and [NAME]
 |  |  |  |  |  |  |  | High Alert / CA Locations |  | Total Occurances
 |  |  |  |  |  |  |  | Location # | Case count
 |  |  |  |  |  |  |  | C118
 |  |  |  |  |  |  |  | C200
 |  |  |  |  |  |  |  | C287
 |  |  |  |  |  |  |  | C324
 |  |  |  |  |  |  |  | C338
 |  |  |  |  |  |  |  | C446
 |  |  |  |  |  |  |  | C189
 |  |  |  |  |  |  |  | C190
 |  |  |  |  |  |  |  | C200
 |  |  |  |  |  |  |  | C206
 |  |  |  |  |  |  |  | C211
 |  |  |  |  |  |  |  | C272
 |  |  |  |  |  |  |  | C281
 |  |  |  |  |  |  |  | C282
 |  |  |  |  |  |  |  | C292
 |  |  |  |  |  |  |  | C300
 |  |  |  |  |  |  |  | C320
 |  |  |  |  |  |  |  | C321
 |  |  |  |  |  |  |  | C331
 |  |  |  |  |  |  |  | C327
 |  |  |  |  |  |  |  | C329
 |  |  |  |  |  |  |  | C330
 |  |  |  |  |  |  |  | C332
 |  |  |  |  |  |  |  | C337
 |  |  |  |  |  |  |  | C338
 |  |  |  |  |  |  |  | C349
 |  |  |  |  |  |  |  | C357
 |  |  |  |  |  |  |  | C358
 |  |  |  |  |  |  |  | C365
 |  |  |  |  |  |  |  | C366
 |  |  |  |  |  |  |  | C373
 |  |  |  |  |  |  |  | C380
 |  |  |  |  |  |  |  | C384
 |  |  |  |  |  |  |  | C389
 |  |  |  |  |  |  |  | C390