tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 266834d1379778081-intercompany-consolidation-model-consolidation-example
Sheet: Contract B

 |  |  | 2014
Waste Type | Source | Destination | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Total
Black bag | transfer depot 123 | landfill | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 120
Plastic | households | sold | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 60
Paper and Card | households | sold | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 60
Spreadsheet: gerald_nemec__11549__Purchase Confirmation Apr 01
Sheet: Independent

CONFIRMED |  |  | FIRST OF MONTH SCHEDULED VOLUME
PURCHASER: |  |  | SELLER:
Enron North America Corp. |  |  | Independent Production Company, Inc.
1200 17th Street, [NAME] 2750 |  |  | 410 17th Street, Suite 570
Denver, Colorado  80202 |  |  | Denver, Colorado  80202
Attention:  [NAME] |  |  | Attention:   [NAME]
Phone:  (303) 575-6485 |  |  | Phone:  (303) 595-8829 (ext 27)
Fax:  (303) 534-0552 |  |  | Fax:  (303) 595-3653
E-mail Address:  [EMAIL] |  |  | E-mail Address:
Flow Month: | 2001-04-01 00:00:00 |  | Effective Date: | 2001-04-01 00:00:00
 |  |  | (start date for flow)
Contract #: | 96023736
 |  | Btu factor: | 0.955 | Effective 3/1/01
DELIVERY POINTS:
 | Meter # | [NAME] | Expected Volume Mcf/d | Expected Volume MMBtu/d | # of Days | Total MMBtu/for Month
 | 0814015 | Independent 47N 73W SEC 9 | 15800 |  | 30
 | Total Delivery Volume:
Spreadsheet: 27630d1221026930-stock-control-problem-multiple-vlookups-slobgenerator
Sheet: bw forecast

L1 Operating Group
L2 Franchise Group
L3 Franchise
[NAME]
L5 Product Major
L6 Product Minor
[NAME]
B2 Brand
B3 Base Product
B4 Variant
[NAME]
J&J Fiscal Year/Per
Company Code
Plant
Material
Material Type
Base Unit
Key Figures
Plant
[NAME]) | 008.2008
Company Code |  | Plant |  | Material |  | Material Type |  | Base Unit |  | Period 08 2008 | Period 09 2008 | Period 10 2008 | Period 11 2008 | Period 12 2008 | Period 01 2009 | Period 02 2009 | Period 03 2009 | Period 04 2009 | Period 05 2009 | Period 06 2009 | Period 07 2009
 |  |  |  | 111111 |  | [NAME] | Raw material | Piece | Opening Inventory | 111 | 222 | 333 | 444 | 555 | 666 | 777 | 888 | 999 | 111 | 0 | 0
 |  |  |  | 222222 |  | [NAME] | Raw material | Kilogram | Opening Inventory | 1111 | 2222 | 3333 | 4444 | 5555 | 6666 | 7777 | 8888 | 9999 | 1111 | 0 | 0
Spreadsheet: 07b55116-8861-406b-87aa-29103a77198f
Sheet: Sheet1

IV. Inland Water Fisheries | Unnamed: 1 | Unnamed: 2 | Unnamed: 3
2. Lake Fishery Statistics
(2) Statistics by Survey Lakes by Prefecture
(d) Private Management Entities
(iii) Number of New Workers
Lake |  | Prefecture | No. of new workers
 |  |  | Person
Total | １ |  | 31
Lake Kutcharo | ２ | Hokkaido | x
Poro Marsh | ３ | 〃 | -
Lake Notoro | ４ | 〃 | -
Lake Abashiri | ５ | 〃 | -
Lake Tofutsu | ６ | 〃 | -
Lake Mokoto | ７ | 〃 | -
Lake Tosanporo | ８ | 〃 | -
Lake Akan | ９ | 〃 | x
Lake Touro | 10 | 〃 | -
[NAME] | 11 | 〃 | -
Lake Toya | 12 | 〃 | 2
[NAME], [NAME], and [NAME] | 13 | 〃 | -
Panke Marsh | 14 | 〃 | x
Lake Shumarinai | 15 | 〃 | x
Lake Ogawara | 16 | Aomori | 3
Lake Towada | 17 | 〃 | -
[NAME] | 18 | 〃 | 1
Ichiyanagi Marsh | 19 | 〃 | -
[NAME] | 20 | 〃 | -
Lake Towada | 21 | Akita | -
Lake Hachiro | 22 | 〃 | -
Lake Inawashiro | 23 | [NAME] | -
Lake Hibara | 24 | 〃 | x
Lake Akimoto | 25 | 〃 | x
Lake Kasumigaura | 26 | Ibaraki | 2
Lake Sotonasakaura | 27 | 〃 | -
Lake Kitaura | 28 | 〃 | 2
Lake Hinuma | 29 | 〃 | 1
Ushiku Marsh | 30 | 〃 | -
Lake Chuzenji | 31 | Tochigi | -
Lake Jonuma | 32 | Gunma | x
Inba Marsh | 33 | Chiba | -
[NAME] | 34 | 〃 | x
Lake Yodaura | 35 | 〃 | x
Lake Ashi | 36 | Kanagawa | -
Lake Yamanaka | 37 | Yamanashi | -
Lake Kawaguchi | 38 | 〃 | x
Lake Suwa | 39 | Nagano | -
Lake Nakatsuna, Lake Aoki | 40 | 〃 | -
Lake Kizaki | 41 | 〃 | -
Lake Nojiri | 42 | 〃 | -
[NAME] | 43 | Niigata | -
Toyano Lagoon | 44 | 〃 | -
Shibayama Lagoon | 45 | Ishikawa | -
Ochi Lagoon | 46 | 〃 | x
Lake Mikata | 47 | Fukui | -
Lake Kitagata | 48 | 〃 | 1
Lake Biwa | 49 | Shiga | 5
Lake Yogo | 50 | 〃 | -
Lake Koyama | 51 | Tottori | -
Lake Togo | 52 | 〃 | 1
Lake [NAME] | 53 | Shimane | 12
Lake Jinzai | 54 | 〃 | 1
Lake Kojima | 55 | [NAME] | -
Lake Oe, Pinya | 56 | [NAME] | -
Meiji Shinden Dabu | 57 | 〃 | -
[NAME] | 58 | 〃 | -
[NAME] | 59 | 〃 | -
Notes:1) Because the statistical values of Lake Yamanaka and Lake Kawaguchi are each X, Lake Kawaguchi was aggregated with Lake Yamanaka.
2) Because the statistical values of Shibayama Lagoon and Ochi Lagoon are both X, Ochi Lagoon was aggregated in to Shibayama Lagoon.
Spreadsheet: 5370a4e4-d648-451e-97fe-c02be9123c2d
Sheet: Sheet1

THE UNIVERSITY OF TULSA | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8
COLLEGE OF ARTS AND SCIENCES | Name____________________________________ |  |  |  | ID#____________________________
Area of Concentration Requirements
 | BA ART
1. You must have a minimum GPA of 2.2 | Studio Emphasis - Ceramics, Graphic Design, Painting, |  |  |  |  | Hrs | Grd | Sem
in your area of concentration and a minimum of | Photography, Printmaking, or Sculpture |  |  |  | Upper Division Drawing Courses
2.0 TU GPA in order to graduate. |  |  |  |  | (3 Hours - 3000-4000 Level)
 | Core (12 hours) | Hrs | Grd | Sem | Art 3003 Life Drawing  or | _____ | _____ | _____
2. No Pass/D/F or CLEP credit may be applied | Art 1103 Drawing I | _____ | _____ | _____ | [NAME] | _____ | _____ | _____
toward your Area of Concentration | Art 1183 Design I | _____ | _____ | _____
 | Art 1193 Design  II | _____ | _____ | _____ | Upper Division Art Elective Courses
3.  Courses applied to meet Core and General | Art 2023 Drawing II | _____ | _____ | _____ | (6  Hours - 3000-4000 Level)
Curriculum requirements may not also apply in |  |  |  |  | ___________________________ | _____ | _____ | _____
your Area of Concentration. |  |  |  |  | ___________________________ | _____ | _____ | _____
 | [NAME] (9 Hours)
4.   Two thirds of the course work in your Major | (Choose THREE of the following, including |  |  |  | REQUIRED MINOR - Art History (12 Hours)
[NAME] must be at the 3000 or 4000 level. | ONE from Area of Emphasis): |  |  |  | ArtH 2203 Survey of [NAME] I | _____ | _____ | _____
 | Art 2113 Painting I | _____ | _____ | _____ | ArtH 2223 Survey of Art Hist II | _____ | _____ | _____
 | Art 2123 Printmaking I | _____ | _____ | _____
 | Art 2133 Ceramics I | _____ | _____ | _____ | (Additional hours - 3000-4000 Level)
 | Art 2103 Sculpture I | _____ | _____ | _____ | ArtH ____  __________________ | _____ | _____ | _____
 | Art 2153 Photography | _____ | _____ | _____ | ArtH ____  __________________ | _____ | _____ | _____
 | Art 3243 Graphic Comm I ** | _____ | _____ | _____
 | **Pre-reqs for Art 3243 include:
 | Art 1103, Art 2023 and
 | Art 3343 Photoshop
 | EMPHASIS ______________________     (9 Hours)
 | Upper Division Electives in Emphasis
 | (9hours - 3000-4000 Level)
 | _____________________________ | _____ | _____ | _____
 | _____________________________ | _____ | _____ | _____
 | _____________________________ | _____ | _____ | _____
Updated 6/15/2012 sb
Spreadsheet: 181048d1347905284-list-of-all-cell-combinations-in-a-given-range-that-equal-to-target-sum-tigeravatar-example-for-ricklou
Sheet: Sheet1

Numbers |  |  |  |  | Valid Combinations
15 |  | Target SUM: | 45 |  | 15, 10, 8, 6, 4, 2
14 |  | # of Cells to Use: | 6 |  | 14, 12, 10, 6, 2, 1
13 |  | # of Odds: | 1 |  | 14, 12, 10, 4, 3, 2
12 |  | # of [NAME]: | 5 |  | 14, 12, 8, 6, 4, 1
11 |  |  |  |  | 14, 12, 8, 6, 3, 2
10 |  |  |  |  | 14, 12, 8, 5, 4, 2
9 |  |  |  |  | 14, 12, 7, 6, 4, 2
8 |  |  |  |  | 14, 11, 8, 6, 4, 2
7 |  |  |  |  | 14, 10, 9, 6, 4, 2
6 |  |  |  |  | 14, 10, 8, 7, 4, 2
5 |  |  |  |  | 14, 10, 8, 6, 5, 2
4 |  |  |  |  | 14, 10, 8, 6, 4, 3
3 |  |  |  |  | 13, 12, 8, 6, 4, 2
2 |  |  |  |  | 12, 11, 10, 6, 4, 2
1 |  |  |  |  | 12, 10, 9, 8, 4, 2
 |  |  |  |  | 12, 10, 8, 7, 6, 2
 |  |  |  |  | 12, 10, 8, 6, 5, 4
Spreadsheet: 791704d1660557447-the-result-of-right-function-is-wrong-abdi_book2
Sheet: Sheet1

1.03565 |  | << C5 = B5 * 100000
Spreadsheet: 214887d1361176791-insert-absolute-reference-in-formula-excel-2010-book1
Sheet: M drum minim

 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10
1 | 0 | 2539 | 2130 | 3231 | 3813 | 3450 | 6222 | 3842 | 5131 | 6752
2 | 2539 | 0 | 1031 | 1377 | 2183 | 3221 | 5504 | 3235 | 4107 | 5154
3 | 2130 | 1031 | 0 | 2278 | 3084 | 3743 | 6339 | 3901 | 5008 | 6055
4 | 3231 | 1377 | 2278 | 0 | 806 | 2818 | 4127 | 2252 | 2730 | 3777
5 | 3813 | 2183 | 3084 | 806 | 0 | 2012 | 3321 | 1446 | 1924 | 3374
6 | 3450 | 3221 | 3743 | 2818 | 2012 | 0 | 2772 | 733 | 1681 | 3643
7 | 6222 | 5504 | 6339 | 4127 | 3321 | 2772 | 0 | 2438 | 1657 | 3766
8 | 3842 | 3235 | 3901 | 2252 | 1446 | 733 | 2438 | 0 | 1347 | 2910
9 | 5131 | 4107 | 5008 | 2730 | 1924 | 1681 | 1657 | 1347 | 0 | 2109
10 | 6752 | 5154 | 6055 | 3777 | 3374 | 3643 | 3766 | 2910 | 2109 | 0
 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10
1
2
3
4
5
6
7
8
9
10
Spreadsheet: 44541d1243322211-skip-blank-cells-seroleh-3
Sheet: Sheet1

 |  | data
 |  | No | Name | Date | [NAME]
 |  | 631 | [NAME] | 2009-02-05 00:00:00 | Go
 |  | 632 | Beckham
 |  | 633 | [NAME] | 2009-02-07 00:00:00 | Not
 |  | 634 | Lampard
 |  | 635 | Gerrard | 2009-02-08 00:00:00 | Go
 |  | 636 | [NAME] | 2009-02-09 00:00:00 | Not
 |  | 637 | [NAME]
 |  | solution
 |  | No | Name | [NAME]
 |  | 1 | [NAME] | Go
 |  | 2 | [NAME] | Not
 |  | 3 | Gerrard | Go
 |  | 4 | [NAME] | Not
Spreadsheet: 877779d1724689593-extracting-only-certain-numbers-and-names-from-a-column-of-data-ltv-lending-rates-1-
Sheet: Sheet1

 | LTV
1inch Network 1INCH | 0.3
AAVE AAVE | 0.3
Algorand ALGO | 0.3
ApeCoin APE
LTV
0.25
0.5
0.3
0.5
Aptos APT
LTV
0.15
Arbitrum ARB
LTV
0.3
15
10
Avalanche AVAX
LTV
0.33
1
0.1
0.1
Axie Infinity AXS
LTV
0.33
0.28
0.1
0.2
BNB BNB
LTV
0.3
0.1
0.05
0.05
BONK BONK
LTV
[NAME] BAL
LTV
0.3
2
Basic Attention Token [NAME]
LTV
0.3
30
Bitcoin BTC
LTV
0.5
0.001
0.001
0.001
[NAME]
LTV
0.3
0.001
0.005
0.005
Cardano ADA
LTV
0.3
10
1
5
Celestia TIA
LTV
0.3
1
0.6
1
Chainlink LINK
LTV
0.3
0.1
0.3
0.3
Chiliz CHZ
LTV
0.3
120
Compound COMP
LTV
0.3
0.5
[NAME] CVX
LTV
0.3
3
Cosmos ATOM
LTV
0.33
1
0.2
1
[NAME] CRV
LTV
0.3
10
DAI DAI
LTV
0.9
1 USD
10
1
2
DYDX DYDX
LTV
0.3
12
Decentraland MANA
LTV
0.3
3
Dogecoin DOGE
LTV
0.3
20
10
EOS EOS
LTV
0.3
1
0.5
0.5
EURX EURx
LTV
1 USD
1
1
Enjin Coin ENJ
LTV
0.3
Ethena ENA
LTV
0.3
Ether.fi ETHFI
LTV
0.3
3
Ethereum ETH
LTV
0.5
0.01
0.01
0.01
Ethereum Name Service ENS
LTV
0.3
1.5
[NAME]
LTV
0.3
36000
Fantom FTM
LTV
0.33
60
2
5
Frax Share FXS
LTV
0.3
3
GALA GALA
LTV
0.25
40
GBPX GBPx
LTV
1 USD
1
1
GMX GMX
LTV
0.3
Hedera HBAR
LTV
0.3
200
[NAME] HT
LTV
0.0001
3
Injective INJ
LTV
0.3
0.3
0.15
0.3
Internet Computer ICP
LTV
0.3
[NAME]
LTV
0.33
0.05
0.1
0.1
Kyber Network KNC
LTV
0.3
15
[NAME] LDO
LTV
0.3
10
Litecoin LTC
LTV
0.3
0.01
0.01
0.01
Maker MKR
LTV
0.3
0.008
NEAR Protocol NEAR
LTV
0.33
10
0.5
1
NETH NETH
LTV
0.5
0.005
NEXO Token NEXO
LTV
0.15
1 USD
1
1
1
ONDO ONDO
LTV
0.3
15 USD
15
Optimism OP
LTV
0.33
10
Osmosis OSMO
LTV
0.3
28
28
PAX Gold PAXG
LTV
0.7
0.001
0.001
0.001
0.001
PEPE PEPE
LTV
0.3
1750000
Pancake Swap CAKE
LTV
0.3
3
Pax Dollar USDP
LTV
0.9
1 USD
10
1
2
Pendle PENDLE
LTV
0.3
3
Polkadot DOT
LTV
0.3
1
0.5
0.5
Polygon MATIC
LTV
0.33
10
1
5
Render RENDER
LTV
0.3
1
SEI SEI
LTV
0.3
STEPN GMT
LTV
0.3
35
SUI SUI
LTV
0.3
Shiba Inu SHIB
LTV
0.3
350000
Solana SOL
LTV
0.3
0.5
0.1
0.1
Stellar XLM
LTV
0.3
3
20
20
SushiSwap SUSHI
LTV
0.3
4
Sweat Economy SWEAT
LTV
0.1
500
Synthetix SNX
LTV
0.3
10
THORChain RUNE
LTV
0.33
TRON TRX
LTV
0.0001
20
150
150
Terra LUNA
LTV
0.0001
TerraClassicUSD USTC
LTV
The Graph GRT
LTV
0.3
200
115
115
The Sandbox SAND
LTV
0.3
3
Toncoin TON
LTV
0.3
TrueUSD [NAME]
LTV
0.0001
10
1
2
USD Coin USDC
LTV
0.9
1 USD
10
1
2
USDT [NAME]
LTV
0.9
1 USD
10
1
2
USDX USDx
LTV
1 USD
1
1
Uniswap UNI
LTV
0.3
1
Worldcoin WLD
LTV
0.3
5
Wormhole W
LTV
0.3
XRP XRP
LTV
0.3
25
5
5
dogwifhat WIF
LTV
0.3
yearn.finance YFI
LTV
0.3
0.001
Spreadsheet: 456807d1461072468-nested-if-and-vlookup-nested-if
Sheet: Sheet1

ID# | Count | Attribute | Answer | Count of Response | All Answers Available | Final
27625 |  |  |  | 0 |  | 0 |  | 1.  Totals for "Final" are for each different value in column A value
27651 |  |  |  | 0 |  | 0 |  | 2.  Count of response (column e) counts total of column A for each different value in A
27621 |  |  |  | 0 |  | 0 |  | 3.  All Answers (column F) column are vlookup pulled from another spreadsheet
27418 | 1 | Racks | YES | 1 |  | 1
27419 | 1 | Type Off | Home | 6 |  | 1
27419 |  | Type Off | Work | 6 |  | 0 |  | So what I need is a formula that says:
27419 |  | Type Off | Store | 6 |  | 0
27419 |  | Type Off | Military | 6 |  | 0 |  | At each different value in column A
27419 |  | Type Off | Club | 6 |  | 0 |  | And if column B has the value "1"
27419 |  | Type Off | Warehouse/Club | 6 |  | 0 |  | And if column E is not equal and less than column F (see formula in "F" to see if we can roll it into this formula)
27420 | 1 | Type Off | Home | 6 |  | 1 |  | So all my final answers in column G should be a 1 or blank (can we also hide the zero)
27420 |  | Type Off | Work | 6 |  | 0
27420 |  | Type Off | Store | 6 |  | 0
27420 |  | Type Off | Military | 6 |  | 0
27420 |  | Type Off | Club | 6 |  | 0
27420 |  | Type Off | Warehouse/Club | 6 |  | 0
27851 | 1 | Display | 4-5 Case | 4 |  | 0
27851 |  | Display | 6-2 Case | 4 |  | 0
27851 |  | Display | 0 to 3 Case | 4 |  | 0
27851 |  | Display | Mass Displays | 4 |  | 0
27857 | 1 | Display | 4-5 Case | 4 |  | 0
27857 |  | Display | 6-2 Case | 4 |  | 0
27857 |  | Display | Bin to 3 Case | 4 |  | 0
27857 |  | Display | Mass Displays | 4 |  | 0
27864 | 1 | Display | 4-5 Case | 4 |  | 0
27864 |  | Display | 6-2 Case | 4 |  | 0
27864 |  | Display | Bin to 3 Case | 4 |  | 0
27864 |  | Display | Mass Displays | 4 |  | 0
27871 | 1 | Type Off | Home | 6 |  | 0
27871 |  | Type Off | Work | 6 |  | 0
Spreadsheet: 159122d1338502573-how-to-find-cell-value-pace-time-chart
Sheet: Sheet2

 |  |  |  |  | 6 FURLONGS DIRT
 |  |  |  |  |  |  |  |  |  |  |  | 7 | 25.4 | 0.0005269675925925927 | 0.0006685763888888888 | 00:01:10
 |  | RATE | 1ST | 2ND | 3RD | FINAL | FF | TURN |  | fin
 |  | *** | 21.71
 |  | ** | 21.93
 |  | * | 22.12
 | 100 | 128 | 22.18 | 43.76 | 0 | 67.67 | 23.91 | 21.58 |  | 00:01:08
 | 99 | 127 | 22.21 | 43.86 | 0 | 67.87 | 24.01 | 21.65 |  | 00:01:08
 | 98 | 126 | 22.24 | 43.96 | 0 | 68.07 | 24.11 | 21.72 |  | 00:01:08
 | 97 | 125 | 22.27 | 44.06 | 0 | 68.27 | 24.21 | 21.79 |  | 00:01:08
 | 96 | 124 | 22.3 | 44.16 | 0 | 68.47 | 24.31 | 21.86 |  | 00:01:08
 | 95 | 123 | 22.33 | 44.26 | 0 | 68.67 | 24.41 | 21.93 |  | 00:01:09
 | 94 | 122 | 22.36 | 44.36 | 0 | 68.87 | 24.51 | 22 |  | 00:01:09
 | 93 | 121 | 22.39 | 44.46 | 0 | 69.07 | 24.61 | 22.07 |  | 00:01:09
 | 92 | 120 | 22.41 | 44.54 | 0 | 69.22 | 24.68 | 22.12 |  | 00:01:09
 | 91 | 119 | 22.42 | 44.58 | 0 | 69.3 | 24.72 | 22.16 |  | 00:01:09
 | 90 | 118 | 22.42 | 44.69 | 0 | 69.37 | 24.67 | 22.27 |  | 00:01:09
 | 89 | 117 | 22.42 | 44.85 | 0 | 69.54 | 24.69 | 22.42 |  | 00:01:10
 | 88 | 116 | 22.42 | 44.99 | 0 | 69.77 | 24.79 | 22.56 |  | 00:01:10
 | 87 | 115 | 22.44 | 45.11 | 0 | 69.96 | 24.85 | 22.67 |  | 00:01:10
 | 86 | 114 | 22.47 | 45.18 | 0 | 70.12 | 24.94 | 22.71 |  | 00:01:10
 | 85 | 113 | 22.51 | 45.26 | 0 | 70.29 | 25.02 | 22.75 |  | 00:01:10
 | 84 | 112 | 22.57 | 45.38 | 0 | 70.46 | 25.08 | 22.81 |  | 00:01:10
 | 83 | 111 | 22.61 | 45.47 | 0 | 70.58 | 25.11 | 22.86 |  | 00:01:11
 | 82 | 110 | 22.63 | 45.51 | 0 | 70.62 | 25.12 | 22.88 |  | 00:01:11
 | 81 | 109 | 22.65 | 45.56 | 0 | 70.74 | 25.18 | 22.91 |  | 00:01:11
 | 80 | 108 | 22.68 | 45.64 | 0 | 70.89 | 25.25 | 22.95 |  | 00:01:11
 | 79 | 107 | 22.74 | 45.82 | 0 | 71.06 | 25.24 | 23.08 |  | 00:01:11
 | 78 | 106 | 22.81 | 46.04 | 0 | 71.29 | 25.25 | 23.23 |  | 00:01:11
 | 77 | 105 | 22.86 | 46.18 | 0 | 71.5 | 25.32 | 23.32 |  | 00:01:12
 | 76 | 104 | 22.89 | 46.29 | 0 | 71.71 | 25.41 | 23.4 |  | 00:01:12
 | 75 | 103 | 22.92 | 46.4 | 0 | 71.91 | 25.51 | 23.48 |  | 00:01:12
 | 74 | 102 | 22.95 | 46.5 | 0 | 72.11 | 25.61 | 23.55 |  | 00:01:12
 | 73 | 101 | 22.98 | 46.6 | 0 | 72.31 | 25.71 | 23.62 |  | 00:01:12
 | 72 | 100 | 23.01 | 46.7 | 0 | 72.51 | 25.81 | 23.69 |  | 00:01:13
 | 71 | 99 | 23.04 | 46.8 | 0 | 72.71 | 25.91 | 23.76 |  | 00:01:13
 | 70 | 98 | 23.07 | 46.9 | 0 | 72.91 | 26.01 | 23.83 |  | 00:01:13
 |  | avr raw | 22.58709677419355 | 45.28612903225807 |  | 70.25290322580643 | 24.96645161290323 | 22.69774193548388 |  | 00:01:10
Spreadsheet: e991bc4b-be69-433c-b7ac-7630cda5787f
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
 | Time | Monday-04 | Tusday-05 | Wednesday-06 | Thursday-07 | Friday-08 | Saturday-09 | Sunday-10 | Monday-11 | Tuesday-12 | [NAME] | Thursday-14 | Time
 | 06.00 to 08.00 |  |  |  |  |  |  |  |  |  |  |  | 06.00 to 08.00
 | 08.00 to 08.45 |  |  |  |  |  |  |  |  |  |  |  | 08.00 to 08.45
 | 09.00 to 10.00 |  |  |  |  |  |  |  |  |  |  |  | 09.00 to 10.00
 | 10.15 to 11.15 |  |  |  |  |  |  |  |  |  |  |  | 10.15 to 11.15
 | 11.30 to -13.00 |  |  |  |  |  |  |  |  |  |  |  | 11.30 to 13.00
 | 13.00 to 14.00 |  |  |  |  |  |  |  |  |  |  |  | 13.00 to 14.00
 | 14.00 to 15.00 |  |  |  |  |  |  |  |  |  |  |  | 14.00 to 15.00
 | 15.00       -                    --to    -----           18.00 |  |  |  |  |  |  |  |  |  |  |  | 15.00        to      18.00
 | 18.00 to 19.00 |  |  |  |  |  |  |  |  |  |  |  | 18.00 to 19.00
 | 19.00 to 21.00 |  |  |  |  |  |  |  |  |  |  |  | 19.00 to 21.00
 | 21.00 to 22.30 |  |  |  |  |  |  |  |  |  |  |  | 21.00 to 22.30
 | 23.00 - |  |  |  |  |  |  |  |  |  |  |  | 23.00 -
Spreadsheet: 743090d1628200066-multiple-data-for-stock-portfolio-x12
Sheet: ROUGH

SL | ST | TICKER | GRAB
iii | EXP | ALIF
 | EXP | ANWARGALV
 | EXP | AOL
XV | GRAB | DACCADYE | 110
 | EXP | DOMINAGE | 1 Bar
XV | EXP | DOREENPWR
 | EXP | DSSL | 1 Bar
 | GRAB | EGEN | 110
XV | GRAB | FORTUNE | 80
XV | EXP | FUWANGFOOD
 | EXP | GBBPOWER | 1 Bar
 | EXP | GOLDENSON
XV | GRAB | INTRACO | 105
 | EXP | KBPPWBIL
 | EXP | LHBL
 | EXP | LRBDL
 | GRAB | MAKSONSPIN | 120
XV | GRAB | NFML | 105
 | EXP | PENINSULA
 | GRAB | SALAMCRST | 75
 | EXP | [NAME]
 | EXP | SINGERBD
 | EXP | SQURPHARMA
 | EXP | SSSTEEL
 | EXP | TITASGAS
 | EXP | ZAHINTEX
 |  | ACFL
 |  | ACTIVEFINE
 |  | FUWANGCER
 |  | GOLDENSON
 |  | GPHISPAT
 |  | INTRACO
 |  | KPCL
 |  | MBL1STMF
 |  | SSSTEEL
 |  | STYLECRAFT
Spreadsheet: 93437d1293021029-formula-needed-to-fetch-data-from-different-worksheets-and-include-adjacent-cells-copy-of-core-staff-leave-2010
Sheet: ST

ST
HOLIDAYS TAKEN
2010
Tuesday | 1900-03-16 00:00:00 | ST
Wednesday | 1900-03-17 00:00:00 | ST
Tuesday | 1900-04-06 00:00:00 | ST
Tuesday | 1900-06-01 00:00:00 | ST
Wednesday | 1900-06-02 00:00:00 | ST
Thursday | 1900-06-03 00:00:00 | ST
Friday | 1900-06-04 00:00:00 | ST
Monday | 1900-08-23 00:00:00 | ST
Monday | 1900-10-25 00:00:00 | ST
Tuesday | 1900-10-26 00:00:00 | ST
Wednesday | 1900-10-27 00:00:00 | ST
Thursday | 1900-10-28 00:00:00 | ST
Friday | 1900-10-29 00:00:00 | ST
STATUTORY |  | 8
Spreadsheet: 883539d1732152242-how-to-avoid-circular-references-in-a-user-input-auto-fill-table-components_lookup-eba-2
Sheet: Example Sheet

DESIRED VOLUME | DESIGN ITEM | INGREDIENTS
2 | COMPUTER | 10 |  | Circuit Board | 5 |  | Plastic | 17 |  | Copper | 12 |  | Wire | 4 |  | Electrode
4 | CIRCUIT BOARD | 5 |  | Plastic | 3 |  | Copper | 1 |  | Gold | 2 |  | Solder
 | WIRE | 2 |  | Copper
 | COPPER | 1 |  | Ore
 | ELECTRODE | 3 |  | Copper | 1 |  | [NAME] | 2 |  | Wire
Spreadsheet: louise_kitchen__22711__North America Plan 01-09 inc AA adj (2)
Sheet: Canada Orig w-AA

 | Canada Origination
 | 2002 Plan
 |  |  |  |  |  |  |  | Per HC | New HC | Adjust Comp
 |  | 2001-09-01 00:00:00 |  | 2002 |  | 2002 |  |  |  |  |  |  |  | 2002
 |  | YTD Actual |  | Forecast |  | Plan |  |  |  |  |  |  |  | Plan
ENACOMP | Compensation |  |  |  |  |  | Compensation | 0
 | Special Pays
 | Analysts & Associates | 0 |  | 0
ENABENTX | Benefits & Payroll Taxes |  |  |  |  |  | Other
ENAEMPEX | Employee Expense
ENAT&EEX | Travel & Entertainment Expense |  |  |  |  |  | Total
ENAOUTSV | Outside Services
ENASUPP | Supplies Expense
ENAMKTEX | Marketing |  |  |  |  |  | [NAME] | 33600 | 0
ENACONTR | Charitable Contributions |  |  |  |  |  | [NAME] | 52800 | 0
ENARENT | Rent |  |  |  |  |  | Staff | 54000 | 0
ENATECH | Technology |  |  |  |  |  | Specialist | 63000 | 0
ENATRANS | Transportation |  |  |  |  |  | Sr. Specialist | 78000 | 0
ENAOTHEX | Other Expenses |  |  |  |  |  | Analyst | 66000 | 0
ENATAXES | Taxes Other than Income |  |  |  |  |  | Associate | 97200 | 0
ENATOTDR | Total Direct Expenses |  |  |  |  |  | Manager | 120000 | 5
 |  |  |  |  |  |  | Director | 156000 | 2
 | Headcount |  |  |  |  | 11 | Sr. Director | 180000 | 0
 |  |  |  |  |  |  | VP | 216000 | 2
 | Analyst & Associate Headcount |  |  |  |  |  | CEO | 240000 | 0
 | Total Headcount |  |  |  |  |  |  |  |  |  |  |  |  | 1
ENAOUTLG | *  Analysts and Associates are billed through normal payroll for Canada. |  |  |  |  | Other Expense Calculation
ENAOUTTX
ENAINSUR |  |  |  |  |  | Total Misc Exp | Old HC | Exp/Old HC | New HC | Exp/New HC
ENASYSDV
ENACORIT
ENACORRN
ENAOTHAL
ENADEPR
Spreadsheet: 845470d1696968326-problem-with-league-table-golfscoresmultiplayerlive
Sheet: Summary

 | Golf Scores - Team Summary |  |  |  |  |  |  |  |  |  | Team: | Team2
 | Rounds Played |  |  |  | High Score |  |  |  |  |  |  |  |  | Data Entry |  |  | Below Par
 |  |  |  |  | [NAME] |  |  |  |  |  |  |  |  | Par |  |  | Most frequent
 |  | 1st | 2nd | 3rd | 4th | 5th | 6th | 7th | 8th | 9th | Front | 10th | 11th | 12th | 13th | 14th | 15th | 16th | 17th | 18th | Back | Total
 | Course Par | 4 | 4 | 3 | 5 | 4 | 4 | 4 | 3 | 4 |  | 4 | 4 | 3 | 4 | 5 | 3 | 4 | 4 | 5
 | HighScore
 | AvScore
 | <= -3 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | -3
 | Eagles |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | -2
 | Birdies |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | -1
 | Pars |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
 | Bogeys |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1
 | Double Bogeys |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2
 | >= +3 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3
 | Total