tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 837723d1690379857-can-i-insert-rows-if-my-worksheets-are-linked-dahlias-7-26-2023-mini
Sheet: Vendor

NAME/CULTIVAR | FORM/TYPE | BLOOM SIZE | HEIGHT | COLOR | VENDOR | YEAR | COMMENTS
Arbatax | Formal Decorative | 4" | 3-4' | Bicolor | Blooms Flower Farm | 2022
Brown Sugar | [NAME] | 3.5" | 4-5' | Copper-orange; rusty red | Blooms Flower Farm | 2022
Chilson's Pride | Informal Decorative | 4" | 5' | Soft pink, creamy center | Blooms Flower Farm | 2022
[NAME] | Waterlily | 5" | 4' | Soft pink | Blooms Flower Farm | 2022
Autumn Orange | Cactus |  |  | Orange | [NAME] | 2022
Ginger Willo | Mini-pom | 2" | 4' | Warm tangerine, Burnt orange | [NAME] | 2022
Labyrinth | Informal Decorative | 7" | 5-6' | Peachy-raspberry (DB) | [NAME] | 2022
[NAME] | Anemone | 3" | 2.5-3' | Tangerine, rose-pink on petal reverse | [NAME] | 2022
[NAME] | Stellar | 4-5" | 4-6' | Red | [NAME] | 2022
Bride to Be | Waterlily | 3-4" | 4' | White | [NAME] | 2022
[NAME] of Barmera | Dinner plate | 10" | 38" | Peach center, coral-raspberry petals | Columbia River Dahlias | 2022
Punkin Spice | Informal Decorative | 6" | 4.5' | Bright orange; raspberry undertones or hints of gold & red | Columbia River Dahlias | 2022
[NAME] | Formal Decorative | 4" | 4' | [NAME] pink -> smokey coral in cooler weather | Dahlias by [NAME] | 2021
Merlot | Formal Decorative | 3.5" | 4' | Rich red, lightens w/ age | Dahlias by [NAME] | 2021
Sun Spot | [NAME] | 4" | 4-5' | Similar to [NAME], pinker | Dahlias by [NAME] | 2021
Tempest | Decorative | 5" | 4' | Coral | Dahlias by [NAME] | 2021
Crème de Cassis | Waterlily | 4" | 30-36" | Purple-Lavender | Fleur Farm | 2022
[NAME] (Brocade) | Anemone | 5" | 3' | Coral | Fleur Farm | 2022
Pink Carnival | Formal Decorative | 6-8" |  | Pink petal w/ red specks | Frey's Dahlias | 2022
Brown Sugar | [NAME] | 3.5" | 4-5' | Copper-orange; rusty red | Harvest Thyme | 2023
[NAME]'s Baby | [NAME] | 4" | 3.5-4' | Peach; sherbet tones | Laughing Goat Flower Farm | 2021
[NAME] | Semi-Cactus | 6" | 4-5' | Dark red | Laughing Goat Flower Farm | 2022
Arbatax | Formal Decorative | 4" | 3-4' | Bicolor | [NAME] | 2023
[NAME]'s Baby | [NAME] | 4" | 3.5-4' | Peach; sherbet tones | [NAME] | 2023
[NAME] | [NAME] | 3.5" | 4-5' | Coral, Peach, [NAME] mix (DB) | Stars of the Meadow Flower Farm | 2022
[NAME] | Formal Decorative | 7" | 3-4' | Deep purple, darker center | Swan Island Dahlias | 2022
Spreadsheet: 153610d1335973201-average-sales-using-changing-cell-for-iso-week-test_sales
Sheet: Sheet2

Date | Cus | Quantity | Sales | ISO Week Number | Day of the week
2012-01-10 00:00:00 |  | 4000 | 2300 | 2 | Tuesday
2012-01-10 00:00:00 |  | 5800 | 6000 | 2 | Tuesday
2012-01-10 00:00:00 |  | 6800 | 7250 | 2 | Tuesday
2012-01-16 00:00:00 |  | 24000 | 145000 | 3 | Monday
2012-01-17 00:00:00 |  | 450 | 1197 | 3 | Tuesday
2012-01-17 00:00:00 |  | 4000 | 2300 | 3 | Tuesday
2012-01-18 00:00:00 |  | 5800 | 6000 | 3 | Wednesday
2012-01-23 00:00:00 |  | 6800 | 7250 | 4 | Monday
2012-01-24 00:00:00 |  | 4000 | 2300 | 4 | Tuesday
2012-01-24 00:00:00 |  | 5800 | 6000 | 4 | Tuesday
2012-01-24 00:00:00 |  | 6800 | 7250 | 4 | Tuesday
2012-02-03 00:00:00 |  | 250 | 1120 | 5 | Friday
2012-02-03 00:00:00 |  | 1200 | 2560 | 5 | Friday
2012-02-03 00:00:00 |  | 500 | 2394 | 5 | Friday
2012-03-02 00:00:00 |  | 5800 | 6000 | 9 | Friday
2012-03-02 00:00:00 |  | 6800 | 7250 | 9 | Friday
2012-03-02 00:00:00 |  | 24000 | 145000 | 9 | Friday
2012-03-05 00:00:00 |  | 450 | 1197 | 10 | Monday
2012-03-05 00:00:00 |  | 4000 | 2300 | 10 | Monday
2012-03-06 00:00:00 |  | 5800 | 6000 | 10 | Tuesday
2012-03-06 00:00:00 |  | 6800 | 7250 | 10 | Tuesday
2012-03-07 00:00:00 |  | 4000 | 2300 | 10 | Wednesday
Spreadsheet: darrell_schoolcraft__7304__imball0201
Sheet: transcol

 | TransColorado
 | 500632
Day | Measured | Scheduled
1 | 106165 | 117417
2 | 117972 | 117437
3 | 124002 | 124207
4 | 100788 | 100788
5 | 104942 | 104207
6 | 104211 | 104207
7 | 84424 | 83518
8 | 77456 | 77234
9 | 89763 | 89032
10 | 93179 | 92822
11 | 100949 | 100822
12 | 93077 | 92822
13 | 93000 | 92822
14 | 92998 | 92822
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
2001-12-31 00:00:00 |  |  | 12821
2002-01-14 00:00:00
CBS Volume
 |  |  | -49782
Spreadsheet: 870302d1716841036-can-anyone-tell-what-mistake-i-am-doing-in-my-formulas-given-in-the-sample-file-sample-file
Sheet: Table 49

कार्यक्रम PROGRAM |  |  | तडतजटल जागरूकिा एर्िं साइबर सुरक्षा DIGITAL FINTECH AND PAYMENTS | PROG CODE
 |  |  |  | IT 1903
तर्षर् समूह/JOB FAMILY |  |  | DIGITAL BANKING &TECHNOLOGY
उद्देश्य/OBJECTIVE |  |  | TO HAVE AN INSIGHT ABOUT THE DIGITAL PRODUCTS OF OUR BANK AND THE AWARENESS ABOUT THE CYBER SECURITY & PREVENTION OF CYBER CRIMES
लतक्षि समूह/TARGET GROUP |  |  | MIXED (OFFICERS UPTO SCALE 3 & SWOs)
अर्तध/DURATION |  |  | 2 DAYS
DAY | SESSION | CONTENTS
Day 1 | I | Introduction  to Fintech and Key Technologies in FINTECH (Blockchain, AI, BigData) & Peer to peer payments systems
 | II | Digital payments: Net  Banking,  Mobile  Banking,  [NAME]  and Tech Products in CBS -RTGS/[NAME]
 | III | Cards (Debit and Credit) and its variants & Digital Devices – ATMs/PUMs/Cash Recyclers/CDMs etc
 | IV | Emerging trends in Digital FINTECH & Understanding    Account Aggregator    and    Digital Lending Concept.
Day 2 | I | Leveraging Digital Tools for augmenting business Using BI, BD360 & Digital  Product  Dashboard  to acquire new business and prevent attrition (BA & IS Wing expertise may be utilized)
 | II | Security in Digital payments including Important  Aspect  of  Cyber threat  and  Cyber Security & Mandatory, Offsite Transaction Monitoring.
 | III | Regulatory landscape and Compliance in Fintech and Digital payments.
 | IV | Case Studies – Successful Fintech implementations
Spreadsheet: 44716d1243486801-addition-of-cells-dependent-on-drop-down-list-in-another-column-book1
Sheet: Sheet1

 | Cost |  | User
 | 921.8
Day total | 88 |  |  |  | Dropdown lists
 | 22 |  | Person2 |  |  | Person1
 | 28 |  | Person2 |  |  | Person2
 | 23 |  | Person3 |  |  | Person3
 | 15 |  | Person4 |  |  | Person4
Day total | 202.9
 | 53.9 |  | Person1
 | 47 |  | Person4
 | 56 |  | Person3
 | 46 |  | Person4
Day total | 177
 | 95 |  | Person3 |  | Totals for week
 | 44 |  | Person2 |  | Person 1 | Person2 | Person3 | Person4
 | 20 |  | Person3 |  | 0
 | 18 |  | Person4
Day total | 47
 | 14 |  | Person1
 | 13 |  | Person2
 | 11 |  | Person1
 | 9 |  | Person4
Day total | 50
 | 9 |  | Person1
 | 15 |  | Person3
 | 16 |  | Person3
 | 10 |  | Person4
Day total | 50
 | 10 |  | Person3
 | 9 |  | Person2
 | 17 |  | Person4
 | 14 |  | Person4
Spreadsheet: 759875d1639769716-consolidate-multiple-tables-data-consolidate-multiple-tables-data
Sheet: Sheet1 (2)

("A") |  |  |  |  | ("B") |  |  |  | ("C")
Raw Material Code | Item Code | Qty. | Total Weight |  | Raw Material Code | Item Code | Unit [NAME]. |  | Raw Material Code | Weight |  |  | Raw Material Code | Weight of "C" | Weight of "A" (or) "B" | Difference
 | HY-05 | 2 | 181.752 |  | YYY111 | [NAME] | 8.242 |  | [NAME] | 65
 | [NAME] | 1 | 90.876 |  | YYY111 | [NAME] | 9.812 |  | AB135 | 209
[NAME] | [NAME] | 650 | 65 |  | XXX222 | [NAME] | 140.479 |  | AB137 | 647.5
AB135 | AB135 | 950 | 209 |  | YYY333 | HY-05 | 4.07 |  | ABC123 | 512.93
ABC123 | HY-04 | 22 | 512.93 |  | YYY333 | HY-05 | 4.296 |  | ZZZ555 | 19.02
ABC123 | HY-06 | 30 | 698.49 |  | XXX444 | HY-05 | 7.398 |  | ZZZ555 | 15.6
 |  |  |  |  | XXX444 | HY-05 | 75.112
DESIRED RESULT
Raw Material Code | Weight of "C" | Weight of "A" (or) "B" | Difference |  | The requirement is as follows:
[NAME] |  |  |  |  | 1. All the Raw Material codes are to be consolidated in one table (result table). (Unique values from "A", "B" & "C")
AB135 |  |  |  |  | 2. Wherever Raw Material codes are blank ([NAME]), need to get the Raw Material codes from "B" with reference to the [NAME] codes.
AB137 |  |  |  |  | 3. Weight of "C" to sumif the weights in Col.K
ABC123 |  |  |  |  | 3. Weight of "A" to come directly (if there are two Raw Material codes available, it should sum i.e. [NAME] is sum of D7 & D8)
YYY111 |  |  |  |  | 4. Weight of Raw Material Codes from "B" to sum Unit weights (of the Raw Material code i.e. Col.H) and multiple with Item code Qty. (Col. [NAME]:C8)
XXX222 |  |  |  |  | (Ex: for YYY111 there are 2 Raw Materials available (F3&F4) (sum 18.054) and multiply with 2 (C3) (with reference to item code [NAME])
YYY333
XXX444
ZZZ555
Raw Material Code | Weight of C | Weight of A or B | Different
[NAME] | 65 | 65 | 0
AB135 | 209 | 209 | 0
AB137 | 647.5 |  | 647.5
ABC123 | 512.93 | 1211.42 | -698.4900000000001
XXX222 |  | 140.479 | -140.479
XXX444 |  | 165.02 | -165.02
YYY111 |  | 18.054 | -18.054
YYY333 |  | 16.732 | -16.732
ZZZ555 | 34.62 |  | 34.62
Spreadsheet: 827894d1683109781-solve-for-inflated-payment-to-get-target-irr-need-help
Sheet: Sheet1

Inflation | 0.02 | 0.02 | 0.02 | 0.02 | 0.02
Investment | -300
Payment | 100
Interest | -3 | -3 | -3 | -3 | -3
Tax | -2 | -2 | -2 | -2 | -2
CFs
Target IRR | 0.13
NPV
Spreadsheet: f2cacb60-0e72-42e6-9d4e-cc4fdae81227
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | SWIM | T1 | BIKE | T2 | RUN | POSITION | TOTAL TIME
7937 | 60933 | [NAME] | [NAME] | USA | 27 | 00:05:21 | [NAME] | 00:35:14 | 00:01:36 | [NAME] | 1 | 01:11:07
7937 | 51373 | Danielle | Mclaughlin | USA | 24 | 00:06:07 | 00:02:34 | 00:37:58 | 00:01:26 | 00:23:25 | 2 | 01:11:32
7937 | 60938 | Allysa | Seely | USA | 25 | 00:05:44 | 00:02:21 | 00:38:25 | 00:01:35 | 00:29:36 | 3 | 01:17:43
Spreadsheet: 21f2bcab-9d1c-4675-8915-a05c2529c038
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
 |  |  |  |  |  |  |  |  |  |  |  |  |  | Monthly Report to the FHA Commissioner
 |  |  |  |  |  |  |  |  |  |  |  |  |  | on
 |  |  |  |  |  |  |  |  |  |  |  |  |  | FHA Business Activity
 |  |  |  |  |  |  |  |  |  |  |  |  |  | March 2011
 |  |  |  |  |  |  |  |  |  |  |  |  |  | Office of Risk Analysis and Regulatory Affairs
 |  |  |  |  |  |  |  |  |  |  |  |  |  | Federal Housing Administration
 |  |  |  |  |  |  |  |  |  |  |  |  |  | Department of Housing and Urban Development
Spreadsheet: 292b90db-3fee-4366-99d8-11e6f2f2822d
Sheet: Sheet1

Table 7.   Rates of Population Increase for Prefectures 1) - Total population | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7
(‰)
Prefectures |  |  | Oct. 1, 1993 to | Oct. 1, 1994 to | Oct. 1, 1995 to | Oct. 1, 1996 to | Oct. 1, 1997 to
 |  |  | Sep. 30, 1994 | Sep. 30, 1995 | Sep. 30, 1996 | Sep. 30, 1997 | Sep. 30, 1998
 |  |  | 2) | 2)
 |  | Japan | 2.6 | 2.4 | 2.3 | 2.4 | 2.5
 | 1 | Hokkaido | 2 | 2 | 1.2 | 0.5 | -0.3
 | 2 | Aomori-ken | 2.1 | 1.5 | 0.7 | -1.6 | -1.4
 | 3 | Iwate-ken | 0.9 | 0.9 | 0.1 | -1.3 | -0.9
 | 4 | Miyagi-ken | 6 | 6.9 | 4.1 | 4.3 | 3
 | 5 | [NAME] | -1.1 | -1.9 | -3 | -3.7 | -3.7
 | 6 | Yamagata-ken | 0.1 | 0.7 | -0.9 | -0.8 | -1.2
 | 7 | [NAME] | 2.6 | 2.3 | 1.2 | 0.3 | -0.1
 | 8 | Ibaraki-ken | 6.9 | 5.3 | 5.4 | 3.9 | 4.2
 | 9 | Tochigi-ken | 4 | 3.8 | 4.2 | 4.1 | 3.3
 | 10 | [NAME] | 3.2 | 3.5 | 3.7 | 3.3 | 3.6
 | 11 | Saitama-ken | 9.5 | 8.4 | 7.4 | 6.3 | 6.1
 | 12 | Chiba-ken | 6.4 | 5.3 | 4.5 | 4.9 | 6
 | 13 | Tokyo-to | -4.5 | -1.9 | -0.1 | 3.1 | 1.8
 | 14 | Kanagawa-ken | 5 | 4.7 | 4.4 | 5.2 | 8
 | 15 | Niigata-ken | 1.9 | 1.8 | 1.6 | 0.6 | -0.1
 | 16 | Toyama-ken | 0.4 | 1.5 | 2.2 | 0.4 | 0.3
 | 17 | Ishikawa-ken | 2.3 | 3.4 | 1.9 | 1.2 | 1.4
 | 18 | Fukui-ken | 1.8 | 1.9 | 2.4 | 0.6 | 1
 | 19 | Yamanashi-ken | 6.9 | 6.2 | 4.6 | 3.6 | 3.5
 | 20 | Nagano-ken | 3.9 | 4.7 | 5.6 | 3.3 | 2.9
 | 21 | [NAME] | 2.7 | 2.7 | 3 | 2.2 | 1.9
 | 22 | Shizuoka-ken | 3.4 | 2.4 | 3.1 | 2.7 | 2.7
 | 23 | [NAME] | 4.3 | 4.3 | 4.2 | 5 | 6.1
 | 24 | Mie-ken | 5.5 | 4.8 | 3.9 | 3.7 | 3.1
 | 25 | [NAME] | 10.1 | 10.7 | 8.9 | 9.3 | 9.8
 | 26 | Kyoto-fu | 1.5 | 2.9 | 0.7 | 0 | 0.8
 | 27 | [NAME] | -0.3 | 4.4 | 0.7 | -0.2 | 0.3
 | 28 | [NAME] | 2.3 | -12.3 | 1.5 | 4.2 | 5.1
 | 29 | [NAME] | 5.8 | 7.5 | 5.4 | 3.8 | 1.8
 | 30 | Wakayama-ken | 2 | 0.8 | -0.8 | -1.4 | -2
 | 31 | [NAME] | 0.3 | 1.1 | -0.7 | -0.2 | 0.7
 | 32 | Shimane-ken | -1.2 | -0.2 | -1.9 | -2.5 | -2.8
 | 33 | [NAME] | 2.3 | 3 | 1 | 1.5 | 1.2
 | 34 | Hiroshima-ken | 1.3 | 1.7 | 0.1 | 0.2 | 0.5
 | 35 | Yamaguchi-ken | -1.5 | -2 | -2.9 | -2.5 | -2.9
 | 36 | Tokushima-ken | -0.5 | 2.3 | -0.6 | -0.7 | -0.4
 | 37 | Kagawa-ken | 1 | 1.4 | 0.8 | 0.4 | 0.6
 | 38 | Ehime-ken | -0.5 | -0.7 | -1 | -1 | -1.3
 | 39 | [NAME] | -0.8 | -0.1 | -2.1 | -1.8 | -1.9
 | 40 | Fukuoka-ken | 5 | 4.9 | 3.8 | 3.7 | 3.7
 | 41 | Saga-ken | 2.6 | 1.9 | 1.4 | -0.9 | -0.3
 | 42 | Nagasaki-ken | -0.7 | -2.4 | -2.3 | -3.7 | -3.9
 | 43 | [NAME] | 2.8 | 2.6 | 1.1 | 0.8 | 0.6
 | 44 | Oita-ken | 0.3 | -0.2 | -0.8 | -1 | -1.2
 | 45 | Miyazaki-ken | 3 | 1.5 | 1.4 | -0.6 | -0.8
 | 46 | [NAME] | 1.3 | 1.9 | -0.5 | -0.5 | -0.9
 | 47 | [NAME] | 9.9 | 9 | 7.3 | 6.6 | 7.7
Note  1)  Per 1,000 persons at the beginning of the period.
2)  [NAME] adjusted by the results of 1990 Population Census and 1995 Population Census.
Spreadsheet: 778307d1650987359-unique-count-of-ids-where-column-b-contains-one-word-only-test25
Sheet: Sheet1

ID | Name |  |  |  | Expected | [NAME]
566389864104 | [NAME] |  |  | Total Unique IDs with Only One Word in Column B | 3
566409616107 | [NAME]
566416280107 | [NAME]
566416896101 | [NAME]
566443976104 | [NAME]
566475744101 | [NAME]
566485169106 | [NAME]
566531457104 | [NAME]
566538271105 | [NAME]
566557260102 | [NAME]
566655261101 | [NAME]
566655795106 | [NAME]
566656140106 | [NAME]
566667095104 | Kiernan
566667095104 | Kiernan
566667124109 | [NAME]
Spreadsheet: 08e47e76-851e-42c2-8e80-98702da0e01a
Sheet: Sheet1

Table 1 -- Mexico: sugar production and supply, and sugar and HFCS utilization | 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
Fiscal year (Oct/Sept) | 2010/11 | 2011/12   1/
 | 1,000 metric tons, raw value
Beginning stocks | 973.0000000000034 | 805.50036
Production | 5494.51 | 5300
Imports | 306.50854 | 405.49558
Imports for consumption | 113.89488 | 224.05856
Imports for other uses (includes IMMEX) | 192.61366 | 181.43702
Total Supply | 6774.018540000004 | 6510.99594
Disappearance
Human consumption | 4186.98198 | 4252.23664
Other deliveries (IMMEX) | 310.34574 | 300
Miscellaneous | -86.3512799999965
Total | 4410.976440000004 | 4552.23664
Exports | 1557.54174 | 1023.2672392
Total use | 5968.518180000004 | 5575.5038792
Ending stocks | 805.50036 | 935.4920608
 | 1,000 metric tons, [NAME]/actual weight
Beginning stocks | 917.92452830189 | 759.906
Production | 5183.5 | 5000
Imports | 289.159 | 382.543
Imports for consumption | 107.448 | 211.376
Imports for other uses (includes IMMEX) | 181.711 | 171.167
Total supply | 6390.58352830189 | 6142.449
Disappearance
Human consumption | 3949.983 | 4011.544
Other deliveries (IMMEX) | 292.779 | 283.0188679245283
Miscellaneous | -81.46347169811042
Total | 4161.29852830189 | 4294.562867924528
Exports | 1469.379 | 965.3464520754713
Exports to the United States & Puerto Rico | 1431.836 | 955.3464520754713
Exports to other countries | 37.54299999999989 | 10
Total use | 5630.67752830189 | 5259.90932
Ending stocks | 759.906 | 882.53968
Stocks-to-human Consumption | 19.2382093796353 | 22
Stocks-to-use | 13.4958181529741 | 16.77861016813119
High fuctose corn syrup consumption (dry weight) | 1635.114 | 1635
1/ Forecast
Source: USDA, WASDE and ERS, MTED, Sugar and Sweeteners Outlook.
 |  |  |  |  |  |  |  |  |  |  | 4692.74 | 22.67485608371645 | 1194.964915611857 | 5097 | 0.2344447548777431
 |  |  |  |  |  |  |  |  |  |  | 4861.74 | 22.05138788051045 | 1237.964915611857 | 5380 | 0.2301050029018321 | 2.010942709542895e-18 | 1.144264338361668e+17
 |  |  |  |  |  |  |  |  |  |  | 4713.227 | 28.70021590164625 | 1583.964915611857 | 5257 | 0.3013058618245875
 |  |  |  |  |  |  |  |  |  |  | 4648.878 | 32.342718500758 | 1785.964915611857 | 5260 | 0.3395370561999728
Spreadsheet: 816912d1675886922-nested-if-with-vlookup-based-on-a-yes-no-selection-test-for-vlookup-mr-excel-etaf-3
Sheet: new dining

 |  |  |  |  |  |  |  | Ignoring Blank |  |  |  |  | Let
 |  |  | Black | [NAME] | Yes |  |  |  | Black | [NAME] | Yes |  |  | Black | [NAME] | Yes
 |  | Mrs | [NAME] | [NAME] | Yes |  |  | Mrs | [NAME] | [NAME] | Yes |  | Mrs | [NAME] | [NAME] | Yes
 |  | Mr | 0 | [NAME] | Yes |  |  | Mr |  | [NAME] | Yes |  | Mr |  | [NAME] | Yes
 |  | Mr | 0 | [NAME] | Yes |  |  | Mr |  | [NAME] | Yes |  | Mr |  | [NAME] | Yes
 |  | Ms | Ward | [NAME] | Yes |  |  | Ms | Ward | [NAME] | Yes |  | Ms | Ward | [NAME] | Yes
 |  | Mrs | White | [NAME] | Yes |  |  | Mrs | White | [NAME] | Yes |  | Mrs | White | [NAME] | Yes
Spreadsheet: 702865d1604582436-sumifs-question-greenmonster123-example-update
Sheet: Sheet1 original

INITIALS |  | TIME ON (UTC) |  | TIME OFF (UTC) |  | TOTAL | TOTAL |  | INITIALS |  | TIME ON (UTC) |  | TIME OFF (UTC) |  | TOTAL | TOTAL
JP |  | 630 |  | 830 |  |  |  |  | MT |  | 630 |  | 1030
MT |  | 1500 |  | 1830 |  |  |  |  | JP |  | 830 |  | 1200
 |  |  | MT HOURS |  |  |  | [NAME]
Spreadsheet: 69010d1269532285-solution-to-a-div-0-error-required-please-eng-dat-sample
Sheet: Sheet1

Engine |  |  |  |  | UNIT |  | PERCENTILE (%)
Engine Rated Output (kw)(hp) | 9 | 12.07 | 6.4 | 8.58 | 2.6 | 3.49 | 40.625 | 40.67599067599068
Engine [NAME] (Nm) | 44.8 |  |  |  | 44.8 |  | #N/A
Engine Rated Speed (rpm) | 2200 |  | 2450 |  | -250 |  | -10.20408163265307
Machine Electrical System (a) | 40 |  |  |  | 40 |  | #N/A
Spreadsheet: andy_zipper__185__DYNEGY-ICE VOL May16
Sheet: ICE-ECC

Enron Canada Corporation
Activity on ICE
UOM | Deals | Volume
 |  |  |  |  |  |  | START | END
Enron Canada Corp.
Commodity Type:  All
Instruments:  All
Trade Dates:  May-16-01 thru May-16-01
Trade Date | Deal ID | Leg ID | B/S | Product | Hub | Strip | START | END | Option | Strike | Style | Counterparty | Price | Price Units | Qty Per Period | Periods | Total Quantity | Qty Units | Trader
Spreadsheet: 860331d1708464726-maxifs-max-count-based-on-multliple-criteria-tracking-test-03
Sheet: DATA

BANK ISSUES & RETURNS TRACKING
DATE | SHIFT | EMPLOYEE | EMP # | TYPE | OUTLET | AMOUNT
2024-01-01 00:00:00 | DAY |  |  | ISSUED | BANK #01 | 900
2024-01-01 00:00:00 | DAY |  |  | ISSUED | BANK #01 | 900
2024-01-02 00:00:00 | SWING |  |  | ISSUED | BANK #01 | 900
2024-01-02 00:00:00 | SWING |  |  | ISSUED | BANK #01 | 900
2024-01-03 00:00:00 | DAY |  |  | ISSUED | BANK #01 | 900
2024-01-03 00:00:00 | DAY |  |  | ISSUED | BANK #01 | 900
2024-01-03 00:00:00 | SWING |  |  | ISSUED | BANK #01 | 900
2024-01-04 00:00:00 | SWING |  |  | ISSUED | BANK #01 | 900
2024-01-01 00:00:00 | DAY |  |  | ISSUED | BANK #02 | 15000
2024-01-01 00:00:00 | DAY |  |  | ISSUED | BANK #02 | 15000
2024-01-02 00:00:00 | DAY |  |  | ISSUED | BANK #02 | 15000
2024-01-02 00:00:00 | SWING |  |  | RETURNED | BANK #02 | 15000
2024-01-02 00:00:00 | SWING |  |  | RETURNED | BANK #02 | 15000
2024-01-02 00:00:00 | SWING |  |  | RETURNED | BANK #02 | 15000
2024-01-03 00:00:00 | DAY |  |  | ISSUED | BANK #02 | 15000
2024-01-03 00:00:00 | DAY |  |  | ISSUED | BANK #02 | 15000
2024-01-03 00:00:00 | DAY |  |  | ISSUED | BANK #02 | 15000
2024-01-03 00:00:00 | DAY |  |  | ISSUED | BANK #02 | 15000
2024-01-03 00:00:00 | SWING |  |  | ISSUED | BANK #02 | 15000
2024-01-03 00:00:00 | SWING |  |  | ISSUED | BANK #02 | 15000
2024-01-03 00:00:00 | SWING |  |  | ISSUED | BANK #02 | 15000
2024-01-03 00:00:00 | GRAVE |  |  | ISSUED | BANK #02 | 15000
2024-01-03 00:00:00 | DAY |  |  | RETURNED | BANK #02 | 15000
2024-01-03 00:00:00 | SWING |  |  | RETURNED | BANK #02 | 15000
2024-01-03 00:00:00 | SWING |  |  | RETURNED | BANK #02 | 15000
2024-01-03 00:00:00 | GRAVE |  |  | RETURNED | BANK #02 | 15000
2024-01-03 00:00:00 | GRAVE |  |  | RETURNED | BANK #02 | 15000
2024-01-03 00:00:00 | GRAVE |  |  | RETURNED | BANK #02 | 15000
2024-01-03 00:00:00 | GRAVE |  |  | RETURNED | BANK #02 | 15000
2024-01-01 00:00:00 | DAY |  |  | ISSUED | BANK #03 | 687.5
2024-01-02 00:00:00 | SWING |  |  | ISSUED | BANK #03 | 687.5
2024-01-02 00:00:00 | SWING |  |  | ISSUED | BANK #03 | 687.5
2024-01-03 00:00:00 | DAY |  |  | ISSUED | BANK #03 | 687.5
2024-01-04 00:00:00 | SWING |  |  | ISSUED | BANK #03 | 687.5
2024-01-04 00:00:00 | SWING |  |  | ISSUED | BANK #03 | 687.5
2024-01-04 00:00:00 | SWING |  |  | ISSUED | BANK #03 | 687.5
2024-01-01 00:00:00 | DAY |  |  | ISSUED | BANK #04 | 687.5
2024-01-02 00:00:00 | SWING |  |  | ISSUED | BANK #04 | 687.5
2024-01-03 00:00:00 | DAY |  |  | ISSUED | BANK #04 | 687.5
2024-01-04 00:00:00 | SWING |  |  | ISSUED | BANK #04 | 687.5
Spreadsheet: 40846d1239226590-how-do-i-get-a-date-cell-to-update-all-data-on-worksheet-excell-date-problem
Sheet: TK Gauges

2009 Daily Gauge Report
2009-03-23 00:00:00
TANK |  |  |  | PROD. |  |  |  |  |  |  |  |  |  | TOTAL |  |  | GROSS | PROD |  | AMB |  | TS | TS |  |  | Temp. | VOL. | NET | PROD. | STORAGE | PRODUCT TOTAL NET STAND.
NUMBER |  | [NAME] | PRODUCT | CODE | TANK STATUS | F/T | IN. | FR. |  |  |  | F/T | IN. | OBSERVE | W. | W. | OBSERVE | TEMP | GR. | TEMP |  | TEMP | FAC |  | ROOF | A.P.I for | CORR. | [NAME] | AVAIL. | AVAIL.
40 |  | 3.2 |  |  |  | 32 | 11 | 0 | 76949 | 0 | 115421 | 3661423 | 105802.5833333333 | 3767225.583333333 | 0 | 0 | 3767225.583333333 | 60 | 47 | 60 | 480 | 60 | 1 |  | 4217.575757575758 | 60.0/60.0 | 1 | 89595.42875180376 | 81462.68055555556 | 23826.03373015873 | L/S/T/F | 0
41 |  | 3.2 |  |  |  | 21 | 2 | 0 | 8968 | 0 | 115293 | 2402933 | 19215.5 | 2422148.5 | 0 | 0 | 2422148.5 | 60 | 47 | 60 | 480 | 60 | 1 |  | 23528.0303030303 | 60.0/60.0 | 1 | 57110.01118326119 | 47999.91666666666 | 54924.84523809524 |  | 0
51 |  | 3.2 |  |  |  | 34 | 3 | 0 | 15763 | 0 | 115400 | 3905641 | 28850 | 3934491 | 0 | 0 | 3934491 | 60 | 47 | 60 | 480 | 60 | 1 |  | 2557.727272727273 | 60.0/60.0 | 1 | 93617.45887445888 | 82115 | 23129.80952380952 | RFG87 | 0
57 |  | 3.2 |  |  |  | 34 | 2 | 0 | 2727 | 0 | 84895 | 2849943 | 14149.16666666667 | 2864092.166666667 | 0 | 0 | 2864092.166666667 | 60 | 47 | 60 | 480 | 60 | 1 |  | 2338.030303030303 | 60.0/60.0 | 1 | 68137.00324675324 | 62457.57539682539 | 447.9007936507974 | CON87 | 0
 |  |  |  |  |  |  | TOTAL |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 308459.902056277 | 274035.1726190476 | 102328.5892857143
 | NOTE:  TANK GAUGES ONLY USED AS CHECK FIGURE
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | `