tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 0ae7e2ec-5471-4c51-9dfb-54ed026903a6
Sheet: SCENARIO 2 Final

Estimates made in Nov. 2009 by [NAME]
SCENARIO 2: Full Implementation of Governor's Initiative and CSP by 2015:
-- 4% increase in electricity and heating in 2011 (increase for New Acadmic Building - decrease for Elmwood Commons)
-- Transition to use of 30% biomass for heating: 10% in 2010, 20% in 2011, 30% in 2012, then 30% to 2014
-- 82% biomass (75% syngas, 7% wood/paper) and 17% natural gas for heating starts 2015
-- 100% biomass (syngas) for heating starts 2020
-- 100% renewable electricity purchasing by 2015 (23% to 2010, 33% in 2011 when state goes to 20%, 50% 2012, 67% 2013, 84% 2014)
-- 3% reduction per year in efficiency for heat & electric (20% by 2017)
-- 3% reduction per year in commuting (20% by 2017)
-- C-neutral by 2025 (continue 3% reduction/yr in commuting + offsets for commuting starting 2015 are 8%, increase by 8% per year)
-- assume that any heating efficiencies or savings will be used to reduce coal before natural gas
-- dry anaerobic biodigester averts 1000 MT CO2e of electricity and 600 MT CO2e of coal 2011-2014 and nat. gas 2015-2019
 | MT CO2e | MT CO2e | MT CO2e |  |  |  |  | MT CO2e | MT CO2e
year | Electricity | Heating | Commuting |  |  |  |  | RECs electricity | Offset commuting
 |  |  |  | TOTAL | TOTAL-REC | Electric-REC | Commute-Offset
2003 | 20198 | 15550 | 6447 |  |  |  |  | -606
2004 | 19807 | 17983 | 6260 |  |  |  |  | -792
2005 | 19603 | 15930 | 6234 |  |  |  |  | -784
2006 | 19176 | 15164 | 6216 |  |  |  |  | -2109
2007 | 18969 | 17261 | 6248 |  |  |  |  | -2466
2008 | 18872 | 18261 | 6271 |  |  |  |  | -3963
2009 |  | 16002
2010 |  | 13757
2011 |  | 11489
2012 |  | 11045
2013 |  | 10614
2014 |  | 2640
2015 |  | 2340
2016 |  | 2049
2017 |  | 2049
2018 |  | 2049
2019 |  | 2049
2020 |  | 0
2021
2022
2023
2024
2025
Spreadsheet: 879583d1727171259-grade-from-score-chester-step-test
Sheet: Sheet1 (2)

 |  |  |  |  |  |  |  |  |  |  |  |  |  | Chester Step Test
 |  |  |  |  |  |  |  |  | Name |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Date of Birth |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Age
 | Taken on a 25cm Step |  |  |  |  |  |  |  | 1 |  |  |  | 2 |  |  |  | 3 |  |  |  | 4 |  |  |  | 5 |  |  |  |  |  | [NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Date of Test
 | Heart Rate |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 80% of Maximum |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Aerobic Fitness
 | Exertion Level |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Fitness Rating
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Remarks
 | Rediness to exercise check
 | Contra Indications to exercise
 | [NAME] and activity check
 |  |  |  |  |  |  |  |  | Males |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Females
 | Fitness Rating |  |  |  |  |  |  |  | 15-19 |  |  |  | 20-29 |  |  |  | 30-39 |  |  |  | 40-49 |  |  |  | 50-59 |  |  |  | 60-65 |  |  |  |  | 15-19 |  |  |  | 20-29 |  |  |  | 30-39 |  |  |  | 40-49 |  |  |  | 50-59 |  |  |  | 60-65 |  |  |  |  | Conducted By: |  |  |  |  |  |  |  |  |  | [NAME]
 | Excellent |  |  |  |  |  |  |  | 60+ |  |  |  | 55+ |  |  |  | 50+ |  |  |  | 46+ |  |  |  | 44+ |  |  |  | 40+ |  |  |  |  | 55+ |  |  |  | 50+ |  |  |  | 46+ |  |  |  | 43+ |  |  |  | 41+ |  |  |  | 39+ |  |  |  |  |  |  |  |  |  |  | Occupational Health Adisor
 | Good |  |  |  |  |  |  |  | 48-59 |  |  |  | 48-50 |  |  |  | 40-49 |  |  |  | 37-45 |  |  |  | 35-43 |  |  |  | 33-39 |  |  |  |  | 44-54 |  |  |  | 40-49 |  |  |  | 36-45 |  |  |  | 34-42 |  |  |  | 33-40 |  |  |  | 31-38
 | Average |  |  |  |  |  |  |  | 39-47 |  |  |  | 35-43 |  |  |  | 34-39 |  |  |  | 32-36 |  |  |  | 29-34 |  |  |  | 25-32 |  |  |  |  | 36-43 |  |  |  | 32-39 |  |  |  | 30-35 |  |  |  | 28-33 |  |  |  | 26-32 |  |  |  | 24-30 |  |  |  |  |  |  |  |  |  | Signed :
 | Below Average |  |  |  |  |  |  |  | 30-38 |  |  |  | 28-34 |  |  |  | 26-33 |  |  |  | 25-31 |  |  |  | 23-28 |  |  |  | 20-24 |  |  |  |  | 29-35 |  |  |  | 27-31 |  |  |  | 25-29 |  |  |  | 22-27 |  |  |  | 21-25 |  |  |  | 19-23
 | Poor |  |  |  |  |  |  |  | <30 |  |  |  | <28 |  |  |  | <26 |  |  |  | <25 |  |  |  | <23 |  |  |  | <20 |  |  |  |  | <29 |  |  |  | <27 |  |  |  | <25 |  |  |  | <22 |  |  |  | <21 |  |  |  | <19
Spreadsheet: 0b11ce9f-37af-427a-b513-29c0f9821677
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | RUN | T1 | BIKE | T2 | SKI | POSITION | TOTAL TIME
7986 | 45993 | Nadia | [NAME] | ITA | 113 | 00:27:15 | 00:00:00 | 00:40:50 | 00:00:00 | 00:42:10 | 1 | 01:50:16
Spreadsheet: 695030d1599983287-average-total-by-no-of-days-in-a-month-excluding-weekends-book2
Sheet: Sheet1

February
 | SULAY
 | A/B
 | QNTY
DATE | M³
 | 569
 | 429
 | 530
 | 654
 | 586
 | 447.5
 | 382
 | 881
 | 431
 | 673
 | 528
 | 560
 | 507
 | 900
 | 709
 | 427
 | 479
 | 578
 | 517
 | 383
 | 244
 | 551
 | 253
 | 579
 | 464
 | 483
 | 451
 | 319
 | 568 |  | I want formula to calculate average by number of days automatically as data is entered in the table excluding weekends
 | 0
 | 0
Total
Average
Spreadsheet: 830391d1684876343-sum-and-count-values-with-criteria-sum-and-count-values-with-criteria
Sheet: Sheet1

Salespeople |  | Salesperson | Sales | Month |  | Problem #1 |  |  |  | Salesperson | Total Sales
[NAME] |  | Regan | 49 | May |  |  | [NAME] | $ Total Sales |  | [NAME] | 326
[NAME] |  | [NAME] | 25 | February |  |  |  |  |  | [NAME] | 170
Mark |  | Molly | 83 | March |  |  |  |  |  | [NAME] | 164
Regan |  | [NAME] | 39 | May
[NAME] |  | [NAME] | 74 | April
Shaun |  | [NAME] | 78 | June
Molly |  | [NAME] | 80 | July
[NAME] |  | Heather | 23 | August |  | Problem #2 |  |  |  | Salesperson | Month | TotalSales
Heather |  | [NAME] | 43 | September |  |  | [NAME] | $ Sales in MAY |  | [NAME] | May | 170
[NAME] |  | [NAME] | 64 | October |  |  |  |  |  | Regan | May | 49
[NAME] |  | Mark | 91 | November |  |  |  |  |  | [NAME] | May | 2
Lauren |  | Lauren | 86 | December
[NAME] |  | [NAME] | 90 | January
 |  | [NAME] | 2 | May
 |  | [NAME] | 36 | March
 |  | Shaun | 69 | April |  | Problem #3 |  |  |  | Salesperson | Nr of Sales
 |  | [NAME] | 84 | May |  |  | [NAME] | Number of Sales in MAY |  | [NAME] | 3
 |  | [NAME] | 47 | May |  |  |  |  |  | [NAME] | 1
 |  |  |  |  |  |  |  |  |  | Regan | 1
Spreadsheet: 125332d1318970675-multiple-if-statements-in-a-conditional-formatting-praccy
Sheet: Sheet1

 | Severity | Reported Date/Time | Response Date/Time | Resolved Date/Time | Response KPI | Resolved KPI | Comments
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
39
40
41
42
43
44
45
46
Spreadsheet: 115557d1311117374-copying-tables-daily-scratch-its-week-1-copy
Sheet: Admin

Day | Total
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
Employee's
BM
JH
ML
NM
PH
SH
Spreadsheet: 818238d1676657497-lookup-formula-for-the-item-in-merged-cell-lookup-problem_shiva
Sheet: Sheet1

 | Book1 |  |  | Book2 |  |  | Book3
 | Store | Shop | Total | Store | Shop | Total | Store | Shop | Total
2023-04-22 00:00:00 | 10 | 50 |  | 100 | 50 |  | 20 | 50
2023-04-23 00:00:00 | 25 | 35 |  | 25 | 40 |  | 25 | 35
2023-04-24 00:00:00 | 5 | 20 |  | 5 | 35 |  | 30 | 20
2023-04-25 00:00:00 | 23 | 28 |  | 23 | 40 |  | 25 | 28
 | Total
 | Book1 |  |  | Book2 |  |  | Book3
 | Store | Shop | Total | Store | Shop | Total | Store | Shop | Total
 |  | ? | ? |  | ? | ? |  | ? | ?
 | Hlookup
Spreadsheet: 173331d1344518012-sum-if-0a32trial-1-
Sheet: Sheet1

 |  |  |  | Helper Columns |  |  |  | Budget |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1 | JAN |  |  | Fruits
 |  |  |  | You can hide these |  |  |  | Apple | 10 |  |  |  |  |  |  |  |  |  |  |  |  |  | 2 | FEB |  |  | Apple
 |  |  |  |  |  |  |  | Orange | 10 |  |  |  |  |  |  |  |  |  |  |  |  |  | 3 | MARTC |  |  | Orange
DATE | Commodity | PRIZE |  |  |  |  |  | Grapes | 5 |  |  |  |  |  |  |  |  |  |  |  |  |  | 4 | APR |  |  | Grapes
2012-06-01 00:00:00 | Apple | 2 |  |  |  |  | Annual Epenses |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5 | MAY |  |  | Total Expenses
2012-06-03 00:00:00 | Orange | 2 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6 | JUN |  |  | [NAME]
2012-07-08 00:00:00 | Grapes | 2 |  |  |  |  | Month | Commodity | Expenses | Above Budget | Below Budget |  |  |  |  |  |  |  |  |  |  |  | 7 | JUL |  |  | Kiwi
2012-07-10 00:00:00 | Water Melon | 5 |  |  |  |  |  | Grapes |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8 | AUG |  |  | Total expenses
2012-07-16 00:00:00 | [NAME] | 5 |  |  |  |  |  | Orange |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9 | SEPT
2012-07-16 00:00:00 | Kiwi | 20 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10 | OKT
2012-07-17 00:00:00 | Apple | 8 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11 | NOV
2012-07-17 00:00:00 | Orange | 0.3 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12 | DEC
2012-07-17 00:00:00 | Apple | 3
2012-07-17 00:00:00 | Orange | 5
2012-07-17 00:00:00 | Grapes | 2
2012-07-17 00:00:00 | Water Melon | 2
2012-07-21 00:00:00 | [NAME] | 4.8
2012-07-21 00:00:00 | Kiwi | 4.8
2012-07-22 00:00:00 | Apple | 10 |  |  |  |  |  |  | 2 |  | 8
2012-07-22 00:00:00 | Orange.in | 1 |  |  |  |  |  |  | 21 | 11
2012-07-22 00:00:00 | Orange.uk | 2
2012-07-22 00:00:00 | Orange.bl | 3
Spreadsheet: 841309d1693496958-match-date-on-two-different-pages-and-paste-data-in-columns-copy-of-ef-file
Sheet: 3-10 Night

 | CR1 | Priority | Headcount
1 | Alinity RV | High | 0.25
2 | Alinity RV | High | 0.25
3 | Alinity RV | High | 0.25
4 | Alinity RV | High | 0.25
5 | Alinity RV | High | 0.25
12 | PCR Tube | High | 0.25
13 | Baxter cap | High | 0.25
9 | Architect RV | High | 0.25
15 | [NAME] sleeve | Med/High | 3 | Run only if you have enough people
16 | Architect RV | High | 0.25
17 | Alinity RV | High | 0.25
50 | Baxter SIV Assy | Medium |  | If you run WC15 tonight, send the people to WC50, when 15 completes
31 | Architect RV | High | 0.25
8 | Alinity RV | High | 0.25
10 | Architect RV | High | 0.25
11 | [NAME] | Low
18 | Architect RV | High | 0.25
19 | Architect RV | High
20 | [NAME] | High | 0.5
21 | Architect RV | High
22 | Architect RV | High | 0.25
23 | Architect RV | High | 0.25
30 | Architect RV | High | 0.25
7 | Architect SC | Med/High | 0.25
Total
 | CR2 | Priority
71 | PP4 | High | 0.25
72 | 8ul ES | *
73 | PP1 | High | 0.25
74 | Side Cassette A | High | 0.25
76 | PP3 OQ | *
77 | Base Cassette | High | 1
78 | Side Cassette B | High | 0.25
79 | [NAME] | High | 0.25
87 | Top Frame A | High | 0.25
52 | Architect RV | High | 0.25
53 | Architect RV | High | 0.25
54 | Siemens KS860 | High | 0.5
59 | Architect RV | High | 0.25
61 | [NAME] trays | High | 0.5
66 | [NAME] | High | 0.5
83 | Over [NAME] | Medium | 2 | If you cannot run this, please run 95/96 instead
84 | Ceph MB#1 | Med/High
86 | [NAME] | Med/High | 0.25
62 | NP227 | Low
63 | NP Birdcage | Low
64 | Siemens 1ML
67 | [NAME] | High | 0.25
69
88 | Side Pump | High | 0.25
89 | Top Frame B | High | 0.25
95 | Beckman Unicel E | Low
96 | Beckman Unicel F | Low
106
107 | Snap Ring | Medium
108 | [NAME] shell | High | 0.25
109 | over cap | Medium | 0.25
Total
 | [NAME] |  | 1.25 |  |  |  |  | 18
 | [NAME] |  | 1
Spreadsheet: 121113d1315853959-subtotaling-data-with-a-sum-and-count-for-multiple-criteria-pt-multiple-subtotalt
Sheet: Sheet1

name | fac | Year | Month | IP_OP | MarginWBadDebt |  |  |  | IP_OP | (All) | << Look at this filter
[NAME] | UT | 2010 | 10 | I | 15
[NAME] | UT | 2010 | 11 | I | 11 |  |  |  | Sum of MarginWBadDebt
[NAME] | UT | 2010 | 11 | O | 1 |  |  |  | name | Total
[NAME] | UT | 2010 | 12 | I | 15 |  |  |  | [NAME] | 1239
[NAME] | UT | 2010 | 12 | O | 15 |  |  |  | [NAME] | 83
[NAME] | UT | 2011 | 1 | I | 11 |  |  |  | Grand Total | 1322
[NAME] | UT | 2011 | 2 | I | 1
[NAME] | UT | 2011 | 3 | I | 5
[NAME] | UT | 2011 | 4 | I | 3
[NAME] | UT | 2011 | 5 | I | 4
[NAME] | UT | 2011 | 6 | I | 1
[NAME] | UT | 2011 | 7 | I | 1
[NAME] | TX | 2010 | 10 | I | 5
[NAME] | TX | 2010 | 10 | O | 5
[NAME] | TX | 2010 | 11 | I | 1
[NAME] | TX | 2010 | 11 | O | 58
[NAME] | TX | 2010 | 12 | I | 58
[NAME] | TX | 2010 | 12 | O | 417
[NAME] | TX | 2011 | 1 | I | 100
[NAME] | TX | 2011 | 1 | O | 250
[NAME] | TX | 2011 | 2 | I | 345
Spreadsheet: 813213d1673617251-running-totals-for-bank-balances-bank-balances
Sheet: Credit Cards

 | Credit Card 1 | Credit Card 2
Opening Balances | 1000 | 2000 |  |  |  |  |  |  |  | 2546.88
Statement Month | Date | Description | Amount | Balance | Card
2023-01-01 00:00:00 | 2022-12-21 00:00:00 | PAYMENT RECEIVED - THAN | -1280 | Balance should equal the 'Opening Balance' of whatever card it is (B2 or [NAME] by the amound spent in D5 | Credit Card 1
2023-01-01 00:00:00 | 2022-12-22 00:00:00 | Spend 1 | 2.49 | As above but corresponding to the next row down i.e. D6 | Credit Card 2
2023-01-01 00:00:00 | 2022-12-22 00:00:00 | Spend 2 | 40.45 | As above D7 | Credit Card 2
2023-01-01 00:00:00 | 2022-12-22 00:00:00 | Spend 3 | 179.01 | etc | Credit Card 2
2023-01-01 00:00:00 | 2022-12-24 00:00:00 | Spend 4 | 50 | etc | Credit Card 2
2023-01-01 00:00:00 | 2022-12-25 00:00:00 | Spend 5 | 41.5 | EXAMPLE IN CELLS BELOW: | Credit Card 2
2023-01-01 00:00:00 | 2022-12-26 00:00:00 | Spend 6 | 55.99 | 2055.99 | Credit Card 2
2023-01-01 00:00:00 | 2022-12-28 00:00:00 | Spend 7 | -147.75 | 852.25 | Credit Card 1
2023-01-01 00:00:00 | 2022-12-28 00:00:00 | Spend 8 | 41.46 | 2097.45 | Credit Card 2
2023-01-01 00:00:00 | 2022-12-29 00:00:00 | Spend 9 | 140 | 2237.45 | Credit Card 2
2023-01-01 00:00:00 | 2022-12-29 00:00:00 | Spend 10 | -300 | 1937.45 | Credit Card 2
2023-01-01 00:00:00 | 2022-12-29 00:00:00 | Spend 11 | -71.51 | 780.74 | Credit Card 1
2023-01-01 00:00:00 | 2022-12-30 00:00:00 | Spend 12 | 55.99 |  | Credit Card 1
2023-01-01 00:00:00 | 2022-12-30 00:00:00 | Spend 13 | -50 |  | Credit Card 1
2023-01-01 00:00:00 | 2022-12-30 00:00:00 | Spend 14 | -41.5 |  | Credit Card 2
2023-01-01 00:00:00 | 2022-12-30 00:00:00 | Spend 15 | 2.49 |  | Credit Card 2
2023-01-01 00:00:00 | 2022-12-30 00:00:00 | Spend 16 | 74.02 |  | Credit Card 1
2023-01-01 00:00:00 | 2022-12-31 00:00:00 | Spend 17 | -70 |  | Credit Card 2
Spreadsheet: 800683d1665798796-formula-for-counting-occurrences-of-shift-times-dummy-1-
Sheet: attempt 1

 | Time of Arrival
 | 2021-10-01 03:01:00
 | 2021-10-02 23:21:00
 | 2021-10-31 06:42:00
 | 2021-12-08 15:02:00
 | 2021-10-15 16:11:00 |  |  | Time of Day (as per shift allocations)
 | 2021-12-08 15:27:00 |  |  | 08:01:00 | 14:30:00
 | 2021-12-24 11:35:00 |  |  | 14:31:00 | 22:00:00 | 8
 | 2021-10-23 16:13:00 |  |  | 22:01:00 | 08:00:00 | 6
 | 2021-12-11 03:46:00
 | 2021-12-12 10:08:00
 | 2022-01-09 19:20:00
 | 2022-01-16 07:04:00
 | 2022-02-07 13:06:00
 | 2021-12-30 20:25:00
 | 2022-01-03 13:29:00
 | 2022-02-12 12:20:00
 | 2021-10-18 20:18:00
 | 2022-02-17 23:12:00
 | 2022-02-27 15:01:00
Spreadsheet: 65786d1266444801-vlookup-index-columns-to-rows-excel-help-2-17-10
Sheet: Sheet2

 |  | Q1 | Q2 | Q3 | Q4
[NAME] | 2008 | 5 | 10 | 2 | 3
[NAME] | 2009 | 6 | 8 | 12 | 14
[NAME] | 2010 | 3 | 5 | 2 | 9
[NAME] | 2008 | 2 | 3 | 4 | 5
[NAME] | 2009 | 10 | 11 | 1 | 0
[NAME] | 2010 | 7 | 8 | 9 | 6
[NAME] | 2008 | 5 | 10 | 2 | 3
[NAME] | 2009 | 6 | 8 | 12 | 14
[NAME] | 2010 | 3 | 5 | 2 | 9
Betty | 2008 | 2 | 3 | 4 | 5
Betty | 2009 | 10 | 11 | 1 | 0
Betty | 2010 | 7 | 8 | 9 | 6
Spreadsheet: 72574d1273253592-create-a-table-with-size-based-on-a-formula-vba-book1
Sheet: Sheet1

 |  | 0 | 0.4 | 0.8 | … | x
 | 0 | formula | formula | formula | … | formula |  |  |  | x - formula
 | 0.4 | formula | formula | formula | … | formula |  |  |  | y - formula
 | 0.8 | formula | formula | formula | … | formula
 | … | … | … | … | … | formula
 | y | formula | formula | formula | formula | formula
Spreadsheet: 95519d1295109822-selecting-rows-row-finder
Sheet: Sheet1

Importing rows #1 - #100 :
Row #1 : Product Name not found
Row #9 : Product Name not found
Row #13 : Product Name not found
Row #14 : Product Name not found
Row #15 : Product Name not found
Row #16 : Product Name not found
Row #18 : Product Name not found
Row #19 : Product Name not found
Row #20 : Product Name not found
Row #21 : Product Name not found
Row #29 : Product Name not found
Row #30 : Product Name not found
Row #31 : Product Name not found
Row #32 : Product Name not found
Row #33 : Product Name not found
Row #34 : Product Name not found
Row #66 : Product Name not found
Row #86 : Product Name not found
Row #87 : Product Name not found
Importing rows #100 - #199 :
Row #106 : Product Name not found
Row #108 : Product Name not found
Row #109 : Product Name not found
Row #110 : Product Name not found
Row #113 : Product Name not found
Row #120 : Product Name not found
Row #121 : Product Name not found
Row #126 : Product Name not found
Row #127 : Product Name not found
Row #131 : Product Name not found
Row #132 : Product Name not found
Row #133 : Product Name not found
Row #134 : Product Name not found
Row #135 : Product Name not found
Row #136 : Product Name not found
Row #137 : Product Name not found
Row #138 : Product Name not found
Row #139 : Product Name not found
Row #140 : Product Name not found
Row #141 : Product Name not found
Row #142 : Product Name not found
Row #143 : Product Name not found
Row #144 : Product Name not found
Row #150 : Product Name not found
Row #153 : Product Name not found
Row #154 : Product Name not found
Row #159 : Product Name not found
Row #167 : Product Name not found
Row #168 : Product Name not found
Row #169 : Product Name not found
Row #172 : Product Name not found
Row #174 : Product Name not found
Row #175 : Product Name not found
Row #178 : Product Name not found
Row #179 : Product Name not found
Row #196 : Product Name not found
Importing rows #200 - #299 :
Row #207 : Product Name not found
Row #208 : Product Name not found
Row #220 : Product Name not found
Row #221 : Product Name not found
Row #252 : Product Name not found
Row #253 : Product Name not found
Row #255 : Product Name not found
Row #273 : Product Name not found
Row #275 : Product Name not found
Row #285 : Product Name not found
Row #287 : Product Name not found
Row #288 : Product Name not found
Row #290 : Product Name not found
Importing rows #300 - #399 :
Row #316 : Product Name not found
Row #318 : Product Name not found
Row #323 : Product Name not found
Row #325 : Product Name not found
Row #328 : Product Name not found
Row #329 : Product Name not found
Row #330 : Product Name not found
Row #334 : Product Name not found
Row #346 : Product Name not found
Row #347 : Product Name not found
Row #357 : Product Name not found
Row #363 : Product Name not found
Row #367 : Product Name not found
Row #369 : Product Name not found
Row #370 : Product Name not found
Row #375 : Product Name not found
Row #384 : Product Name not found
Row #388 : Product Name not found
Row #391 : Product Name not found
Spreadsheet: 760085d1639990063-list-missing-number-in-a-sequence-to-another-row-horizontaly-book5
Sheet: Sheet1

Record | Record2 | Record3 | Record4 | Record5 | Record6 | Record7 | Record8 | Record9 | Record10 | Record11 | Record12 | Record13 | Record14 | Record15 | Record16 | Record17 | Record18 | Record19 | Record20 | Record21 | Record22 | Record23 | Record24 | Record25 | Record26 | Record27 | Record28 | Record29 | Record30 | Record31 | Record32 | Record33 | Record34 | Record35 | Record36 | Record37 | [NAME] | Record39 | Record40 | Record41 | Record42 | Record43 | Record44 | Record45 | Record46 | Record47 | Record48 | Record49 | Record50 | Missing | Missing2 | Missing3 | Missing4 | Missing5 | Missing6 | Missing7 | Missing8 | Missing9 | Missing10 | Missing11 | Missing12 | Missing13 | Missing14 | Missing15 | Missing16 | Missing17 | Missing18 | Missing19 | Missing20 | Missing21 | Missing22 | Missing23 | Missing24 | Missing25 | Missing26 | Missing27 | Missing28 | Missing29 | Missing30 | Missing31 | Missing32 | Missing33 | Missing34 | Missing35 | Missing36 | Missing37 | Missing38 | Missing39 | Missing40 | Missing41 | Missing42 | Missing43 | Missing44 | Missing45 | Missing46 | Missing47 | Missing48 | [NAME] | Missing50
1003 | 1004 | 1004 | 1006 | 1007 | 1008 | 1009 | 1010 | 1011 | 1012 | 1013 | 1014 | 1015 | 1016 | 1017 | 1018 | 1019 | 1020 | 1021 | 1022 | 1023 | 1024 | 1025 | 1026 | 1027 | 1028 | 1029 | 1030 | 1031 | 1032 | 1033 | 1034 | 1035 | 1036 | 1037 | 1038 | 1039 | 1040 | 1041 | 1042 | 1043 | 1044 | 1045 | 1046 | 1047 | 1048 | 1049 | 1050 |  |  | 1001 | 1002 | 1005
Good day! I need to extract missing numbers in sequence from Column A to AX to Column AY to CV, or just simply identify or count any missing number. Here's the sample, please see attached file.) Thankss. :)
Spreadsheet: 863079d1710633303-dynamically-tracking-comments-redditcomments
Sheet: Raw Data

Sub | Votes | Comment
Ask Reddit | 12 | Microsoft Excel
Advice | 10 | You don't deserve her
Aviation | 200 | 777X
Ask Men | 250 | Bus Driver
Ask Reddit | 46 | "Looks like you've had enough already"
Advice | 82 | Dump him
Aviation | 380 | Airbus A380
Ask Reddit | 129 | Farting in a school
Ask Reddit | 87 | Your boss at work
Aviation | 210 | Private Jet
Ask Men | 24 | Children
Ask Men | 163 | Well, he was 99 years old at the time …
Aviation | 90 | Airbus A350
Aviation | 360 | Antonov AN225
Ask Reddit | 63 | [NAME], you've found all 7 of them
Ask Reddit | 110 | Playing the long game, I see
Ask Men | 4 | Subscriptions
Ask Men | 8 | They were magnificent
Ask Men | 90 | I love them all
Ask Reddit | 10 | I'm a Brit, and I remember tricking a group of Americans into thinking the Queen signed PhD certificates
Ask Men | 358 | Sadly, I don't have another ladder
Advice | 21 | Let's not get carried away now
Ask Men | 28 | My childhood
Advice | 99 | "Yes, I'll marry you!"
Ask Reddit | 101 | No, no. He, ….....just looks like that
Aviation | 350 | Eurofighter Typhoon
Advice | 21 | Oh dear
Ask Reddit | 12 | Wives?
Ask Men | 3 | I think they're great
Aviation | 3 | Airforce One
Advice | 12 | Have you considered a second job?
Ask Reddit | 15 | Looks like his last attempt wasn't a complete success
Aviation | 75 | Boeing 777
Advice | 75 | You need to be more rational in your decisions
Advice | 23 | There's no point in taking the higher paid job if the additional money is going towards transport costs
Ask Reddit | 98 | "Life finds a way"
Advice | 100 | Well, she didn't see that coming
Advice | 74 | You need to make time when you have kids
Ask Men | 236 | I can't imagine you'd have much of a choice if he was serious about it