tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 219419d1362754949-copying-a-formula-but-changing-a-row-reference-sample080313a
Sheet: Data

 | January
 | Sales table 1 | Target Jan | Actual Jan
 | Metric 1 | 1 | 2
 | Metric 2 | 2 | 3
 | Metric 3 | 0.03 | 0.04
 | Metric 4 | 4 | 5
 | Metric 5 | 5 | 6
 | Metric 6 | 6 | 7
 | Metric 7 | 7 | 8
 | Metric 8 | 8 | 9
 | Metric 9 | 0.09 | 0.1
 | Metric 10 | 10 | 11
 | Metric 11 | 11 | 12
 | Metric 12 | 12 | 13
 | Metric 13 | 13 | 14
 | Metric 14 | 14 | 15
 | Metric 15 | 15 | 16
 | Metric 16 | 16 | 17
 | Metric 17 | 17 | 18
 | Metric 18 | 18 | 19
 | Metric 19 | 19 | 20
 | Metric 20 | 20 | 21
 | Metric 21 | 21 | 22
 | Metric 22 | 22 | 23
 | Metric 23 | 23 | 24
 | Metric 24 | 24 | 25
 | Metric 25 | 25 | 26
 | Metric 26 | 26 | 27
 | Metric 27 | 27 | 28
 | Sales table 2 | Target Jan | Actual Jan
 | Metric 100 | 1 | 2
 | Metric 101 | 2 | 3
 | Metric 102 | 0.03 | 0.04
 | Metric 103 | 4 | 5
 | Metric 104 | 5 | 6
 | Metric 105 | 6 | 7
 | Metric 106 | 7 | 8
 | Metric 107 | 8 | 9
 | Metric 108 | 0.09 | 0.1
 | Metric 109 | 10 | 11
 | Metric 110 | 11 | 12
 | Metric 111 | 12 | 13
 | Metric 112 | 13 | 14
 | Metric 113 | 14 | 15
 | Metric 114 | 15 | 16
 | Metric 115 | 16 | 17
 | Metric 116 | 17 | 18
 | Metric 117 | 18 | 19
 | Metric 118 | 19 | 20
 | Metric 119 | 20 | 21
 | Metric 120 | 21 | 22
 | Metric 121 | 22 | 23
 | Metric 122 | 23 | 24
 | Metric 123 | 24 | 25
 | Metric 124 | 25 | 26
 | Metric 125 | 26 | 27
 | Metric 126 | 27 | 28
 | February
 | Sales table 1 | Target | Actual
 | Metric 1 | 29 | 28
 | Metric 2 | 30 | 29
 | Metric 3 | 0.31 | 0.3
 | Metric 4 | 32 | 31
 | Metric 5 | 33 | 32
 | Metric 6 | 34 | 33
 | Metric 7 | 35 | 34
 | Metric 8 | 36 | 35
 | Metric 9 | 0.37 | 0.36
 | Metric 10 | 38 | 37
 | Metric 11 | 39 | 38
 | Metric 12 | 40 | 39
 | Metric 13 | 41 | 40
 | Metric 14 | 42 | 41
 | Metric 15 | 43 | 42
 | Metric 16 | 44 | 43
 | Metric 17 | 45 | 44
 | Metric 18 | 46 | 45
 | Metric 19 | 47 | 46
 | Metric 20 | 48 | 47
 | Metric 21 | 49 | 48
 | Metric 22 | 50 | 49
 | Metric 23 | 51 | 50
 | Metric 24 | 52 | 51
 | Metric 25 | 53 | 52
 | Metric 26 | 54 | 53
 | Metric 27 | 55 | 54
 | Sales table 2 | Target Feb13 | Actual Feb13
 | Metric 100 | 29 | 28
 | Metric 101 | 30 | 29
 | Metric 102 | 0.31 | 0.3
 | Metric 103 | 32 | 31
 | Metric 104 | 33 | 32
 | Metric 105 | 34 | 33
 | Metric 106 | 35 | 34
 | Metric 107 | 36 | 35
 | Metric 108 | 0.37 | 0.36
 | Metric 109 | 38 | 37
 | Metric 110 | 39 | 38
 | Metric 111 | 40 | 39
 | Metric 112 | 41 | 40
 | Metric 113 | 42 | 41
 | Metric 114 | 43 | 42
 | Metric 115 | 44 | 43
 | Metric 116 | 45 | 44
 | Metric 117 | 46 | 45
 | Metric 118 | 47 | 46
 | Metric 119 | 48 | 47
 | Metric 120 | 49 | 48
 | Metric 121 | 50 | 49
 | Metric 122 | 51 | 50
 | Metric 123 | 52 | 51
 | Metric 124 | 53 | 52
 | Metric 125 | 54 | 53
 | Metric 126 | 55 | 54
Spreadsheet: 082a7ad5-dc3b-451d-a389-3f0eb46c93b1
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
 | Time Series Workbook
 | 5609.0 Housing Finance, Australia
 | TABLE 12. HOUSING LOAN OUTSTANDINGS TO HOUSEHOLDS (OWNER OCCUPATION AND INVESTMENT HOUSING)
Related Information: | Summary Publication | Explanatory Notes | Inquiries
 | Glossary
Data Item Description |  |  | Series Type | Series ID | Series Start | Series End | No. Obs. | Unit | Data Type | [NAME]. | Collection Month
Owner-occupied housing ;  [NAME] ; |  |  | Original | A2435226X | 2002-03-01 00:00:00 | 2012-02-01 00:00:00 | 120 | $ Millions | STOCK | Month | 1
Owner-occupied housing ;  Permanent Building Societies ; |  |  | Original | A2435228C | 2002-03-01 00:00:00 | 2012-02-01 00:00:00 | 120 | $ Millions | STOCK | Month | 1
Owner-occupied housing ;  Credit Co-operatives ; |  |  | Original | A2435230R | 2002-03-01 00:00:00 | 2012-02-01 00:00:00 | 120 | $ Millions | STOCK | Month | 1
Owner-occupied housing ;  Total Authorised Deposit-taking Institutions (ADIs) ; |  |  | Original | A2435232V | 2002-03-01 00:00:00 | 2012-02-01 00:00:00 | 120 | $ Millions | STOCK | Month | 1
Investment housing ;  [NAME] ; |  |  | Original | A2435227A | 2002-03-01 00:00:00 | 2012-02-01 00:00:00 | 120 | $ Millions | STOCK | Month | 1
Investment housing ;  Permanent Building Societies ; |  |  | Original | A2435229F | 2002-03-01 00:00:00 | 2012-02-01 00:00:00 | 120 | $ Millions | STOCK | Month | 1
Investment housing ;  Credit Co-operatives ; |  |  | Original | A2435231T | 2002-03-01 00:00:00 | 2012-02-01 00:00:00 | 120 | $ Millions | STOCK | Month | 1
Investment housing ;  Total Authorised Deposit-taking Institutions (ADIs) ; |  |  | Original | A2435233W | 2002-03-01 00:00:00 | 2012-02-01 00:00:00 | 120 | $ Millions | STOCK | Month | 1
All residential housing ;  [NAME] ; |  |  | Original | A2435234X | 2002-03-01 00:00:00 | 2012-02-01 00:00:00 | 120 | $ Millions | STOCK | Month | 1
All residential housing ;  Permanent Building Societies ; |  |  | Original | A2435235A | 2002-03-01 00:00:00 | 2012-02-01 00:00:00 | 120 | $ Millions | STOCK | Month | 1
All residential housing ;  Credit Co-operatives ; |  |  | Original | A2435245F | 2002-03-01 00:00:00 | 2012-02-01 00:00:00 | 120 | $ Millions | STOCK | Month | 1
All residential housing ;  Total Authorised Deposit-taking Institutions (ADIs) ; |  |  | Original | A2435246J | 2002-03-01 00:00:00 | 2012-02-01 00:00:00 | 120 | $ Millions | STOCK | Month | 1
All residential housing ;  Securitisation Vehicles ; |  |  | Original | A2435238J | 2002-03-01 00:00:00 | 2012-02-01 00:00:00 | 120 | $ Millions | STOCK | Month | 1
All residential housing ;  Other Lenders ; |  |  | Original | A2435241W | 2002-03-01 00:00:00 | 2012-02-01 00:00:00 | 120 | $ Millions | STOCK | Month | 1
All residential housing ;  Total (Lender Housing) ; |  |  | Original | A2435244C | 2002-03-01 00:00:00 | 2012-02-01 00:00:00 | 120 | $ Millions | STOCK | Month | 1
© Commonwealth of Australia  2012
Spreadsheet: 0301438a-b4c6-420f-b9db-cfe19e3cfcbd
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Coordinate geometry results | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11 | Unnamed: 12
 |  |  |  | x1 | y1 |  |  | x2 | y2 |  | distance | 13.41640786499874
 |  |  |  | -8 | 0 |  |  | 4 | 6 |  | gradient | 0.5
 |  |  |  | 2 | 10 |  |  | 14 | 16 |  | angle | 26.56505163022892
 |  |  |  |  |  | scaling | 1
1 | : | 1
Division at | x | -2
 | y | 3
51 |  | 51
-8 | 0
-2 | 3
4 | 6
Spreadsheet: 884711d1733951970-tabs-that-feed-on-specific-tab-tracking-correios_2
Sheet: Database

Shipping store | [NAME] | Client name | Ship date | Invoice nb | Track number
 | U11 | U12 | U13 | U14 | U15
ubx | u16 | u17 | u18 | u19 | u20
uck | U21 | U22 | U23 | U24 | U25
uck | u26 | u27 | u28 | u29 | u30
Spreadsheet: 103602d1301345967-automated-shipping-estimator-daily_rates-1-
Sheet: UPS CWT Tier 2

 |  |  |  |  |  |  |  |  | 2011 Rates
 | Domestic
 | UPS Hundredweight Service Tier 2
 | Guaranteed Delivery Service Options
 | UPS Next Day Air |  |  |  |  |  |  |  |  |  | Hundredweight Shipment Rates Per Pound
 | Zones | 102 | 103 | 104 | 105 | 106 | 107 | 108 | 124 | 125 | 126
 | 100 Lbs. or more | 1.23 | 1.8 | 2.52 | 2.72 | 3 | 3.13 | 3.32 | 3.51 | 3.3 | 3.85
 | UPS Next Day Air Saver |  |  |  |  |  |  |  |  |  | Hundredweight Shipment Rates Per Pound
 | Zones | 132 | 133 | 134 | 135 | 136 | 137 | 138 | Service Not Available
 | 100 Lbs. or more | 0.98 | 1.49 | 2.47 | 2.68 | 2.84 | 3.03 | 3.19
 | UPS 2nd Day Air A.M. |  |  |  |  |  |  |  |  |  | Hundredweight Shipment Rates Per Pound
 | Zones | 242 | 243 | 244 | 245 | 246 | 247 | 248 | Service Not Available
 | 100 Lbs. or more | 0.76 | 0.87 | 1.17 | 1.68 | 2.59 | 2.94 | 3.09
 | UPS 2nd Day Air |  |  |  |  |  |  |  |  |  | Hundredweight Shipment Rates Per Pound
 | Zones | 202 | 203 | 204 | 205 | 206 | 207 | 208 | 224 | 225 | 226
 | 100 Lbs. or more | 0.66 | 0.78 | 1.03 | 1.43 | 2.32 | 2.63 | 2.76 | 2.84 | 2.57 | 3.15
 | UPS 3 Day Select |  |  |  |  |  |  |  |  |  | Hundredweight Shipment Rates Per Hundredweight Unit
 | Zones | 302 | 303 | 304 | 305 | 306 | 307 | 308 | Service Not Available
 | 200 to 499 Lbs. | 31 | 36.6 | 41.55 | 46 | 76.2 | 108.95 | 122.9
 | 500 to 999 Lbs. | 26.85 | 31.35 | 36.35 | 40.65 | 67.4 | 96.3 | 108.55
 | 1,000 Lbs. or more | 28.1 | 32.7 | 38.05 | 42.45 | 70.3 | 100.2 | 113
 | [NAME] |  |  |  |  |  |  |  |  |  | Hundredweight Shipment Rates Per Hundredweight Unit
 | Zones | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 44 | 45 | 46
 | 200 to 499 Lbs. | 23.4 | 29.25 | 32.85 | 38.6 | 48.45 | 55.15 | 63.4 | 168.2 | 168.2 | 199.45
 | 500 to 999 Lbs. | 20.45 | 25.4 | 28.65 | 33.85 | 42.45 | 48.25 | 55.45 | 146.3 | 146.3 | 172.95
 | 1,000 Lbs. or more | 20.8 | 25.95 | 29.4 | 34.55 | 43.45 | 49.2 | 56.75 | 149.1 | 149.1 | 176.5
 | Minimum Charges
 | UPS 3 Day Select Zones |  |  | 302 | 303 | 304 | 305 | 306 | 307 | 308 | Service Not Available
 | Minimum Charge |  |  | 47 | 47 | 47 | 47 | 47 | 47 | 47
 | [NAME] |  |  | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 44 | 45 | 46
 | Minimum Charge |  |  | 41 | 41 | 45 | 45 | 45 | 45 | 45 | 225 | 225 | 275
Spreadsheet: 0b4f956c-e22e-4dd0-8025-eb84bd81c907
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6
 | Fig. 13.2.19 - Turnover (millions di euro) for DOP and IGP products by region. Italy - Year 2009 and 2009/08 % var.
 | Source: processing by [NAME] on [NAME] data
 | Fig. 13.2.19 - Turnover (millions di euro) for DOP and IGP products by region. Italy. Year 2009 and 2009/08 % var.
 | Regions | 2007 | 2008 | 2009 | 09/08 % var. | 2009 % share
 | [NAME] | 1944.209941755062 | 2021.225109093961 | 2175.307584791964 | 7.623221926382712 | 40.90944507736656
 | Lombardia | 1208.971680802645 | 1291.129221061909 | 1325.645527623156 | 2.673342528245055 | 24.93046191881069
 | [NAME] | 313.2617954099999 | 319.3372775400001 | 350.0213369019999 | 9.608668176284676 | 6.582599517423278
 | Trentino Alto Adige | 435.5850540142734 | 376.495437414256 | 302.4135651335126 | -19.67669855165641 | 5.687274397410426
 | Veneto | 291.3745777167916 | 301.5013467726815 | 288.5573561114319 | -4.293178388688536 | 5.426690640919027
 | Campania | 237.3556703986505 | 226.5954246130337 | 245.5425247861 | 8.361642873161735 | 4.617741648179621
 | Piemonte | 149.1056422923891 | 175.3880465487773 | 178.5310643497585 | 1.792036494406756 | 3.357505312205639
 | Sardegna | 194.9502254401277 | 190.5822851204828 | 177.3450522255417 | -6.945678548545471 | 3.335200835268241
 | Toscana | 82.42722756502637 | 85.23022913103537 | 104.8016346340381 | 22.9629859059901 | 1.970928960140339
 | [NAME] | 54.02469458258675 | 40.90144322525472 | 46.06270549863071 | 12.61877788749799 | 0.8662681700212791
 | Umbria | 12.8136974062683 | 26.29929269697507 | 33.96787972177437 | 29.15890975912572 | 0.638809481283272
 | [NAME] | 20.63928707458065 | 33.22595075499004 | 30.930367244 | -6.909007744933477 | 0.5816851689560981
 | Marche | 16.337656805464 | 10.27836892677473 | 17.00968386557281 | 65.49010827256141 | 0.3198888896204383
 | Puglia | 14.60748776124529 | 13.20264035609721 | 16.316380110203 | 23.58422005086138 | 0.3068504245773692
 | Sicilia | 8.721702233960698 | 12.43269515807869 | 10.90546449096027 | -12.28398708164285 | 0.2050912265259152
 | Calabria | 3.75097648567989 | 6.078534812929857 | 6.255187334758001 | 2.90616945143393 | 0.1176368089317328
 | [NAME] | 4.102516655328814 | 1.5218081874 | 4.8784660632576 | 220.5703651517626 | 0.091745802235926
 | Abruzzo | 3.515364965109544 | 2.996052242089823 | 2.738198321 | -8.606456104716093 | 0.05149532627341052
 | Molise | 1.3106976682 | 0.9879437553256203 | 0.135038525665 | -86.33135490385358 | 0.002539572420766048
 | Basilicata | 4.415123878000001 | 2.059254155722253 | 0.007488000000000001 | -99.63637319952993 | 0.0001408214299811843
 | Source: processing by [NAME] on Ismea data
Spreadsheet: 876888d1723602528-divide-number-of-months-to-add-to-columns-saftyfast-book2
Sheet: Sheet1

 |  | 2024-08-01 00:00:00
 |  | [NAME]. Building Work Days | Total of Floors | Total Building Work Days | Workdays in a month | Months
 |  | 39 | 24 |  | 20
 |  | 39 | 60 |  | 20
 |  | 39 | 70 |  | 20
 |  | 39 | 80 |  | 20
 |  | 39 | 90 |  | 20
 |  |  |  |  |  | The idea is that it will calculate the number of months from the 'total building work days', then divide that by 20(for the number of days in a month)
 |  |  |  |  |  | It will then get the 'total of floors' divid that by the number of 'months' and then roundup and fill in the quantity of months from the provided month
Spreadsheet: tracy_geaccone__40511__ETS - Transwestern IC 0914
Sheet: Enterprise Portal Solutions

E N R O N   N et Works
2 0 0 2   P L A N
 | SAP PROFIT CENTER: |  | 10737
 | PROFIT CENTER OWNER: |  | [NAME]
 | SAP COST CENTER: |  | 140569 |  |  |  |  |  |  |  | DUE DATE: |  | 2001-09-05 00:00:00
Direct expenses
Indirect expenses
TOTAL EXPENSES
OTHER COMPENSATION EXPENSES
TOTAL EXPENSES
Spreadsheet: 848727d1699378620-a-cumulative-formula-is-needed-for-tracking-positive-and-negative-times-for-a-flexi-balanc-gk-ef
Sheet: 2020

Day | In | Out | Hours | Flexi-time |  |  | Standard Day
1 | 06:52:00 | 12:02:00 |  |  |  |  | 07:00:00
2 | 06:54:00 | 13:01:00
3 | 06:51:00 | 12:54:00
4 | 06:54:00 | 15:30:00
5 | 06:57:00 | 16:30:00
6
7
8 | 06:55:00 | 12:55:00
9 | 06:53:00 | 16:55:00
10 | 06:55:00 | 17:00:00
11 | 06:54:00 | 16:55:00
12 | 06:56:00 | 15:40:00
 |  | Totals
Spreadsheet: 691070d1597430996-display-only-part-of-the-cell-value-on-dropdown-from-a-table-list-dropdown
Sheet: Merge_All (2)

 | S10T1 | 422 |  |  |  |  |  |  | Dropdown list to contain S10,S2,S36,S38,S4,S7
 | S2C2T1 | 462 |  |  |  |  |  |  | S36
 | S36T1 | 869
 | S36T2.1 | 156
 | S36T2.3 | 154
 | S38T2.A | 838
 | S4T1 | 882
 | [NAME] | 482
 | S4T4 | 644
 | S7T9.1.1 | 739
Spreadsheet: 156c2fd8-b4d5-4c05-aef5-45c77fed333d
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | California State University Dominguez Hills | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11 | Unnamed: 12 | Unnamed: 13 | Unnamed: 14 | Unnamed: 15
 |  |  | Request for Reimbursement of Petty Cash
 | Accounting Services |  |  |  |  |  |  |  |  |  | 2005-09-27 00:00:00
 | To |  |  |  |  |  |  |  |  |  | Date
 | From |  |  |  |  |  |  |  |  |  | Date required
 |  |  |  |  |  |  |  |  |  |  | Note:  [NAME] should be in accounts payable two (2) weeks prior to the required date.
 | Date |  | Description |  |  |  |  |  |  |  | Acct No.
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
 |  |  |  |  |  |  |  |  |  |  |  |  |  | Total to be reimbursed | 0
 | [NAME] |  |  |  |  |  |  |  |  |  | Date
 | Supporting documentation is attached:
 | Examples:  [NAME] and receipts.
 | Petty Cash Administrator |  |  |  |  |  |  |  |  |  | Date
ACCOUNTING OFFICE USE ONLY
Vendor Number |  |  |  |  |  |  | Invoice Number |  |  |  |  |  |  | Invoice Date
Spreadsheet: eric_saibi__9784__020102R
Sheet: Prairie Island 02

Owner Name |  | Northern States Power Company
Station Name |  | Prairie Island Nuclear Power Station
Unit Name |  | Prairie Island 02
NERC Region |  | MAPP
State |  | MN
Fuel Type |  | Nuclear
Capacity |  | 544 MW
Start Date |  | 2002-02-02 00:00:00
End Date |  | 2002-03-01 00:00:00
Prv. Start Date |  | 2002-02-03 00:00:00
Prv. End Date |  | 2002-03-02 00:00:00
Comments |  | Refuel
SIC |  | 4911
Plant ID |  | 1013897
Unit ID |  | 1006650
Outage ID |  | 8427
Spreadsheet: 731491d1620369318-help-formula-to-find-a-match-for-cell-and-return-value-of-the-title-of-that-column-league
Sheet: DOGE

S.N. | Particulars | Bought  Units | Unit or KCS Price | Bought/ Sold Price  ($US) | Bought/ Sold Price (BTC) | Token Unit Price During Txn | Activity  Date | Received Date | Fee  ($US) | Fee (%) | Total Price ($US) | Estimated  Price ($US) | Status | Notes
1 | Dogecoin @ Bittrex - Purchase 1 | 518822.10138889 | 2.6e-07 |  | -0.14043216 | 8011.8 | 2017-11-23 00:00:00 | 2017-11-23 00:00:00 |  |  |  |  | SOLD
2 | Dogecoin @ Bittrex - Purchase 2 | 2955555.55555556 | 2.6e-07 |  |  | 8011.8 | 2017-11-23 00:00:00 | 2017-11-23 00:00:00 |  |  |  |  | SOLD
3 | Fees for transferring 100000 DOGE from Bittrex to Ledger | -2 |  |  |  |  | 2017-12-04 00:00:00
4 | Dogecoin @ Bittrex - Sale 1 | -1687188.82847223 | 1.5e-07 |  | 0.26927534 | 16789.3 | 2017-12-11 00:00:00
5 | Dogecoin @ Bittrex - Sale 2 | -1687188.82847222 | 1.5e-07 |  | 0.26927533 | 16789.3 | 2017-12-11 00:00:00
6 | Dogecoin @ Bittrex - Purchase 3 | 111157.23012295 | 6e-07 |  | -0.06797542 | 14740.1 | 2018-01-02 00:00:00 | 2018-01-02 00:00:00 |  |  |  |  | SOLD
7 | Fees for transferring 111157.23012295 DOGE from Bittrex to Ledger | -2
8 | Fees for transferring 211153.23012295 DOGE from Ledger to Bittrex | -1 |  |  |  |  | 2018-01-23 00:00:00
9 | Dogecoin @ Bittrex - Sale | -211152.23012295 | 6.1e-07 |  | 0.13058701 | 10820.8 | 2018-01-23 00:00:00
10
11
12
13
14
15
16
17
18
 | Next Buy
 | Dogecoin in [NAME] | 0
 | Dogecoin in Bittrex | 0
 | Dogecoin in BitStamp | 0
 | Total Investment Loss/Profit ($US)
 | Website: https://
 | Contract address:
 | Symbol:
 | Decimals:
 | About/Idea
 | Team Members (reputation, prior projects, LinkedIn, social presence)
 | Website Design
 | White Paper
 | ICO Rating
 | www.icoranker.com
 | www.icobench.com
 | www.tokenmarket.net
 | Marketing
 | Twitter
 | Instagram
 | Facebook
 | CEO Presence in the market
 | Roadmap & timeline
 | When are they hitting the exchanges?
Spreadsheet: 844849d1696505966-count-if-acrross-several-tabs-help
Sheet: SUMMARY

 | SUMMARY
 | HEO Learning Needs Analysis
 |  |  |  |  |  | COUNT & % (count/heo)
 | Learning Area | Courses | Reference | Media | Access From | 1 |  | 2 |  | 3 |  | 4
 | Induction &  Onboarding | DWP Induction | N/A | Various | Intranet
 |  |  | N/A | E-LEARNING | Civil Service Learning
 |  |  | N/A | Open Learning | Intranet
Spreadsheet: 769157d1645356094-iferror-index-and-match-return-0-xlsx-test-1-
Sheet: Sheet1

Components details
ATR 1 | ATR 1 Value
Component1 | 1
Component2 | 2
Component3 | 3
Component4 | 4
Component5
Component6 | 6
Component7 | 7
Component8 | 8
Component9 | 9
Component10
Component11
Component12
Component13
Component14 | 14
Component 15 | 15
Spreadsheet: louise_kitchen__23934__AugQTD Orig w notes
Sheet: Mexico

Mexico Origination
For the Quater Ended August 31
By Team
Originator |  | Commodity |  | Team |  | Total |  | %Total
[NAME] |  | Gas |  | Mexico Origination |  | 504604
[NAME] |  | Gas |  | Mexico Origination |  | 354927
[NAME] |  | Gas |  | Mexico Origination |  | 4515
Total
Spreadsheet: darrell_schoolcraft__7762__imbalsumm0106
Sheet: Amoco

 | Florida Plant
Day | Measured | Scheduled | Imbal
1 | 123747 | 125404
2 | 136303 | 136568
3 | 133829 | 132786
4 | 121812 | 124335
5 | 135753 | 135000
6 | 93187 | 92162
7 | 117640 | 128075
8 | 91512 | 84712
9 | 84604 | 91453
10 | 90899 | 91453
11 | 131808 | 130588
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
2001-05-31 00:00:00 |  |  | 94855
2001-06-11 00:00:00
Spreadsheet: 821232d1678528025-formula-if-cell-contains-x-return-the-first-number-following-x-stock
Sheet: Stock

Cadre
Cadre 100
Cadre 120
Cadre 120 x 25
Cadre 125
Cadre 125 x 25
[NAME]
[NAME]
[NAME] 25
[NAME] 50
[NAME] |  | [NAME]
 |  | Milieu
 |  | Fin
[NAME] x 50
Spreadsheet: 696782d1600969948-taking-a-list-of-data-and-transforming-it-adding-a-drop-down-to-make-it-searchable-excel-help-forum
Sheet: Summary

 |  | Monday | Tuesday | Wednesday | Thursday | Friday | Average
 | Service Level % Actual | 77 | 69 | 65 | 77 | 51 | 68
 | Calls Offered Actual | 476 | 501 | 410 | 396 | 416 | 440
 | Forecast Calls Offered | 460 | 427 | 409 | 403 | 376 | 415
 | Forecast Accuracy | 96.6 | 85.2 | 99.8 | 101.8 | 90.4 | 94.8
 | Average Handle Time Actual | 00:14:07 | 00:14:21 | 00:15:28 | 00:14:32 | 00:14:33 | 00:14:35
 | Average Handle Time Forecast | 00:12:52 | 00:13:03 | 00:13:14 | 00:13:09 | 00:13:21 | 00:13:07
 | Handle Time Accuracy | 91.2 | 91 | 85.6 | 90.5 | 91.8 | 90
 | Average Speed of Answer | 00:00:42 | 00:01:09 | 00:01:25 | 00:00:44 | 00:01:39 | 00:01:07
 | [NAME] (Full) | 2.1 | 5.4 | 4.9 | 2.8 | 6.5 | 4.3
Spreadsheet: 758399d1638849182-how-to-get-dates-whose-number-of-consecutive-days-must-be-greater-than-or-equal-to-5-days-12-07
Sheet: Sheet1

Date |  |  |  |  | Date
2021-12-01 00:00:00 |  |  |  |  | 2021-12-06 00:00:00
2021-12-02 00:00:00 |  |  |  |  | 2021-12-07 00:00:00
2021-12-03 00:00:00 |  |  |  |  | 2021-12-08 00:00:00
2021-12-06 00:00:00 |  |  |  |  | 2021-12-09 00:00:00
2021-12-07 00:00:00 |  |  |  |  | 2021-12-10 00:00:00
2021-12-08 00:00:00
2021-12-09 00:00:00
2021-12-10 00:00:00
2021-12-12 00:00:00
2021-12-13 00:00:00
2021-12-18 00:00:00
2021-12-19 00:00:00
2021-12-22 00:00:00
2021-12-23 00:00:00
2021-12-26 00:00:00
2021-12-28 00:00:00
2021-12-29 00:00:00
2021-12-30 00:00:00
2021-12-31 00:00:00
Spreadsheet: 793355d1661426635-how-to-update-a-list-tab-based-on-an-evolving-data-tab-test
Sheet: Anon_Data_AFTER

CENTRE | F_AREA | COL1 | COL2 | [NAME] | COL4 | [NAME] | CRS_TITLE | COL6 | COL7 | [NAME] | COL9 | AO | CODE | Level | COL10 | COL11 | COL12 | Year | COL13 | COL14 | COL15
Centre 01 | Area 01 | XYZ | XYZ | XYZ | XYZ | XYZ | Course 01 | XYZ | XYZ | XYZ | XYZ | AO1 | 001 | 1 | XYZ | XYZ | XYZ | 22/23 | XYZ | XYZ | XYZ
Centre 02 | Area 02 | XYZ | XYZ | XYZ | XYZ | XYZ | Course 02 | XYZ | XYZ | XYZ | XYZ | AO2 | 002 | 1 | XYZ | XYZ | XYZ | 22/23 | XYZ | XYZ | XYZ
Centre 04 | Area 03 | XYZ | XYZ | XYZ | XYZ | XYZ | Course 03 | XYZ | XYZ | XYZ | XYZ | AO3 | 002 | 2 | XYZ | XYZ | XYZ | 22/23 | XYZ | XYZ | XYZ
Centre 01 | Area 04 | XYZ | XYZ | XYZ | XYZ | XYZ | Course 04 | XYZ | XYZ | XYZ | XYZ | AO4 | 002 | X | XYZ | XYZ | XYZ | 22/23 | XYZ | XYZ | XYZ
Centre 02 | Area 05 | XYZ | XYZ | XYZ | XYZ | XYZ | Course 05 | XYZ | XYZ | XYZ | XYZ | AO5 | 005 | E | XYZ | XYZ | XYZ | 22/23 | XYZ | XYZ | XYZ
Centre 03 | Area 06 | XYZ | XYZ | XYZ | XYZ | XYZ | Course 06 | XYZ | XYZ | XYZ | XYZ | AO6 | 006 | E | XYZ | XYZ | XYZ | 22/23 | XYZ | XYZ | XYZ
Centre 05 | Area 07 | XYZ | XYZ | XYZ | XYZ | XYZ | Course 07 | XYZ | XYZ | XYZ | XYZ | NONE | 007 | E | XYZ | XYZ | XYZ | 22/23 | XYZ | XYZ | XYZ
Centre 06 | Area 08 | XYZ | XYZ | XYZ | XYZ | XYZ | Course 08 | XYZ | XYZ | XYZ | XYZ | AO7 | 007 | 1 | XYZ | XYZ | XYZ | 22/23 | XYZ | XYZ | XYZ
Centre 04 | Area 09 |  |  |  |  |  | Course 09 |  |  |  |  | AO8 | 007 | 2 |  |  |  | 22/23
Centre 04 | Area 10 |  |  |  |  |  | Course 10 |  |  |  |  | AO9 | 010 | E |  |  |  | 22/23
Centre 05 | Area 11 |  |  |  |  |  | Course 11 |  |  |  |  | AO10 | 011 | E |  |  |  | 22/23
 | [NAME]
 | New Rows
Spreadsheet: a813fc38-9129-4da4-bea5-fd928c2c40f2
Sheet: Sheet1

IRN | District | County | Amount of Subaward | Disbursed | Org Type
43752 | Cincinnati City | [NAME] | 17450554.31 | 4791887.62 | Public District
43794 | Cleveland Heights-University Heights City | Cuyahoga | 1992960 | 578616.4 | Public District
43786 | Cleveland Municipal | Cuyahoga | 27505290 | 6307902.52 | Public District
43802 | Columbus City School District | Franklin | 20181961 | 3897094.22 | Public District
143412 | Crittenton Community School | Franklin | 650250 | 222075 | Community School
43844 | Dayton City | Montgomery | 3154833 | 642706.73 | Public District
44222 | Lima City | [NAME] | 4057188.57 | 1477833.84 | Public District
44412 | Mt Healthy City | [NAME] | 3327441 | 695429.41 | Public District
277 | Scholarts Preparatory and Career Center for Children | Franklin | 1500000 | 449999.9999999999 | Community School
44818 | Springfield City | [NAME] | 4244000 | 1417307.54 | Public District
45922 | Trimble Local | Athens | 861685 | 294917.88 | Public District
45153 | Xenia Community City | Greene | 5776119.3 | 1870675.49 | Public District
45161 | Youngstown City Schools | Mahoning | 4387311 | 1108100.81 | Public District
 |  |  | 95089593.17999999 | 23754547.46