tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 718637d1613243923-lookup-cell-value-based-on-other-cell-value-condition-leavecalculator
Sheet: Sheet1

 | Leave Calculator |  |  | Leave Entitlement per Year
 |  |  |  | 28 | 30 | 31 | 32 | 33
 | Leaving Date Window | 2020-04-01 00:00:00 | 2020-04-29 00:00:00 | 0 | 0 | 0 | 0 | 0
 |  |  |  | 2.5 | 2.5 | 3 | 3 | 3
 |  |  |  | 5 | 5 | 5.5 | 5.5 | 5.5
 |  |  |  | 7 | 7.5 | 8 | 8 | 8.5
 |  |  |  | 9.5 | 10 | 10.5 | 11 | 11
 |  |  |  | 12 | 12.5 | 13 | 13.5 | 14
 |  |  |  | 14 | 15 | 15.5 | 16 | 16.5
 |  |  |  | 16.5 | 17.5 | 18.5 | 19 | 19.5
 |  |  |  | 19 | 20 | 20.5 | 21.5 | 22
 |  |  |  | 21 | 22.5 | 23.5 | 24 | 25
 |  |  |  | 23.5 | 25 | 26 | 27 | 27.5
 |  |  |  | 26 | 27.5 | 28.5 | 29.5 | 30.5
 |  |  | 2020-03-31 00:00:00 | 28 | 30 | 31 | 32 | 33
 |  |  | DOJ | Leaving Date | LOS | Entitlement | [NAME]
 |  |  | 2018-09-25 00:00:00 | 2020-07-25 00:00:00 |  | 30
Spreadsheet: 867222d1714076276-line-of-credit-schedule-schedue-of-rates
Sheet: Data

Name | Starting Rate date | Payment Frequency Options | Number of rates | Next Rate 1 | Next Rate 2 | Next Rate 3 | Next Rate 4 | Next Rate 5
X1 | 07.01.2023 | Annual | 5 |  |  |  |  |  | Annual
X2 | 07.01.2024 | Annual | 5 |  |  |  |  |  | Monthly
X3 | 27.12.2022 | Annual | 5
X4 | 16.01.2020 | Annual | 5
X5 | 18.04.2019 | Monthly | 30
X6 | 24.06.2019 | Monthly | 12
X7 | 24.07.2019 | Monthly | 50
X8 | 14.08.2019 | Annual | 5
X9 | 04.10.2019 | Annual | 5
X10 | 04.10.2019 | Annual | 6
X11 | 31.10.2019 | Annual | 6
X12 | [NAME] | Annual | 7
X13 | 03.12.2019 | Annual | 8
X14 | 27.11.2019 | Annual | 9
X15 | 26.12.2019 | Annual | 10
X16 | 18.12.2019 | Annual | 12
X17 | 19.09.2019 | Annual | 5
X18 | 30.10.2019 | Annual | 5
X19 | 27.11.2019 | Annual | 5
X20 | 26.07.2018 | Annual | 5
X21 | 28.09.2018 | Annual | 5
X22 | 09.08.2019 | Annual | 5
X23 | 31.07.2019 | Annual | 5
X24 | 19.09.2019 | Annual | 5
X25 | 27.11.2019 | Annual | 5
[NAME] | 03.12.2019 | Annual | 5
X27 | 20.03.2019 | Monthly | 60
X28 | 08.02.2018 | Monthly | 30
X29 | 03.05.2018 | Monthly | 60
X30 | 19.07.2018 | Monthly | 60
X31 | 01.03.2019 | Monthly | 60
X32 | 25.02.2019 | Monthly | 60
X33 | 15.04.2019 | Monthly | 60
X34 | 15.04.2019 | Annual | 1
X35 | 18.04.2019 | Annual | 5
X36 | 18.06.2019 | Annual | 5
Spreadsheet: 844872d1696511942-filter-more-than-one-item-in-a-single-cell-example
Sheet: Sheet1

No. | Product Description and Dimensions | Dimensions | Colour and Finishes | Manufacturer | Location | Meeting room | Quantity | Quality
39 | Stool | 770mm | Light pink | - Hitch Mylius | - Building 1 - First Floor - Building 3 - First Floor | - Customer room - Building 3 | 12 | Average
40 | Stool | 770mm | Blue | - Cappellini | - Building 3 - First Floor | - Customer room - Building 3 | 3 | Good
41 | Stool | 770mm | Grey | - Cappellini | - Building 3 - First Floor - Building 3 - Ground Floor | - Building 3 - First Floor - Building 3 - Ground Floor - Customer room - Building 3 | 5 | Good
42 | High table | [NAME] | White top [NAME] base | - Unknown | - Building 3 - First Floor - Customer room - Building 3 | - Building 3 - First Floor - Customer room - Building 3 | 2 | Good
43 | Soft seating |  | Blue, Yellow, Orange, Grey | - Senator | - Building 3 - First Floor | - Customer room - Building 3 | 8 | Good
44 | Meeting Chair |  | Grey fabric | - Brunner | - Building 3 - First Floor | - Customer room - Building 3 | 7 | Good
45 | Visitors chair |  | Grey plastic | - Brunner | - Building 1 - Ground Floor - Building 1 - Second Floor - Building 1 - Third Floor - Building 3 - First Floor | - Customer room - Building 3 - Innovate - Building 1 - Momentum - Building 1 | 111 | Good
Spreadsheet: 675424d1588275946-problem-using-ifs-function-project-budget-template-blank-hourly-multirate
Sheet: Labor Data

Rates
Designation | Position | UNIT | AVG PAY | S/T Rate | O/T Rate | D/T Rate
Prjct Mgr | Project Manager | HR | 54 | 88.98 | 118.37 | 147.75
Safety Supv A | Safety Supervisor | HR | 36 | 59.97 | 79.56 | 99.15
QAQC Tech A | QA/QC | HR | 41 | 68.03 | 90.34 | 112.65
Timekeeper - A | Cost Technician | HR | 27 | 45.46 | 60.15 | 74.85
Inspector Specialist | API-510 Inspector | HR | 53 | 87.37 | 116.21 | 145.05
Cat Supv C | Cardox Supervisor | HR | 54 | 88.98 | 118.37 | 147.75
Prjct Mgr B | Mechanical Project Manager | HR | 55 | 90.59 | 120.52 | 150.45
Cat Supt | Superintendent | HR | 41 | 68.03 | 90.34 | 112.62
Cat Supv A | Console Supervisor | HR | 32 | 53.52 | 70.93 | 88.35
Cat Supv B | Top Side Supervisor | HR | 33 | 55.13 | 73.09 | 91.05
Cat Labor A | Technician A | HR | 31 | 51.91 | 68.78 | 85.65
Cat Labor B | Technician B | HR | 26 | 43.85 | 58 | 72.15
Cat Lead | [NAME] | HR | 35 | 58.35 | 77.4 | 96.45
Welder A | [NAME] | HR | 33 | 55.13 | 73.09 | 91.05
Mechanical Lead | Mechanical Technician | HR | 32 | 53.52 | 70.93 | 88.35
Spreadsheet: 39560d1237836201-trouble-with-lookups-and-dropdowns-table-and-lookup-test
Sheet: Sheet1

 | smell | taste | feel | sound
birds | neutral to bad | good | feathery | tweet
cats | fine | ew | soft | meow
dogs | fine to bad | ew | soft | woof
fish | bad | v. bad to v. good | yuck | ---
 |  | my trial vlookup:
 |  | sample entry: | smell:
 |  | dogs | VLOOKUP(C11;$A$2:$E$5;2;FALSE)
 |  |  | ^^ removed the '=', cause excel won't let me do anything if there's an error
 |  |  | but it doesn't tell me what the error actually is…
ANIMALS |  | taste | smell | sound | feel
 | birds
 | fish
Spreadsheet: 101195d1299326304-chart-that-measures-amount-of-swimming-lengths-weight-and-date-767020
Sheet: Sheet1

Date | Weight | Laps | LapsWithWeighin | Laps | LapsWithWeighin |  |  | X | Y | WeightScale
2011-01-01 00:00:00 | 178 |  | 17 |  |  |  |  | 0.5 | 190
 | 182 | 27 |  |  |  |  |  | 0.5 | 189
 | 182 | 21 |  |  |  |  |  | 0.5 | 188
 | 177 | 32 |  |  |  |  |  | 0.5 | 187
 | 183 | 20 |  |  |  |  |  | 0.5 | 186
 | 183 | 22 |  |  |  |  |  | 0.5 | 185
 | 177 | 28 |  |  |  |  |  | 0.5 | 184
 | 178 |  | 30 |  |  |  |  | 0.5 | 183
 | 179 | 29 |  |  |  |  |  | 0.5 | 182
 | 180 | 29 |  |  |  |  |  | 0.5 | 181
 | 178 | 26 |  |  |  |  |  | 0.5 | 180
 | 182 | 29 |  |  |  |  |  | 0.5 | 179
 | 177 | 17 |  |  |  |  |  | 0.5 | 178
 | 179 | 19 |  |  |  |  |  | 0.5 | 177
 | 177 |  | 26 |  |  |  |  | 0.5 | 176
 | 183 | 22 |  |  |  |  |  | 0.5 | 175
 | 183 | 22 |  |  |  |  |  | 0.5 | 174
 | 181 | 29 |  |  |  |  |  | 0.5 | 173
 | 183 | 19 |  |  |  |  |  | 0.5 | 172
 | 180 | 23 |  |  |  |  |  | 0.5 | 171
 | 183 | 15 |  |  |  |  |  | 0.5 | 170
 | 180 |  | 20 |  |  |  |  | 0.5 | 169
 | 178 | 27 |  |  |  |  |  | 0.5 | 168
 | 180 | 26 |  |  |  |  |  | 0.5 | 167
 | 178 | 28 |  |  |  |  |  | 0.5 | 166
 | 179 | 27 |  |  |  |  |  | 0.5 | 165
 | 180 | 17 |  |  |  |  |  | 0.5 | 164
 | 178 | 17 |  |  |  |  |  | 0.5 | 163
 | 182 |  | 19 |  |  |  |  | 0.5 | 162
 | 177 | 24 |  |  |  |  |  | 0.5 | 161
 | 179 | 31 |  |  |  |  |  | 0.5 | 160
 | 177 | 15 |  |  |  |  |  | 0.5 | 159
 | 183 | 31 |  |  |  |  |  | 0.5 | 158
 | 183 | 20 |  |  |  |  |  | 0.5 | 157
 | 181 | 28 |  |  |  |  |  | 0.5 | 156
 | 183 |  | 32 |  |  |  |  | 0.5 | 155
 | 180 | 21 |  |  |  |  |  | 0.5 | 154
 | 183 | 32 |  |  |  |  |  | 0.5 | 153
 | 180 | 18 |  |  |  |  |  | 0.5 | 152
 | 178 | 23 |  |  |  |  |  | 0.5 | 151
 | 180 | 28 |  |  |  |  |  | 0.5 | 150
 | 183 | 31
Spreadsheet: 005b6801-8580-4d96-b866-5fd00c9c0c81
Sheet: 24

 |  | Transactions
Product Type |  | Cleared** | Uncleared
Total Metals* | Exotic
 | Option
 | Spot/Forward
 | Swap
Total Energy | Exotic
 | Option
 | Spot/Forward
 | Swap
Total Agricultural | Exotic
 | Option
 | Spot/Forward
 | Swap
Total Index | Exotic
 | Option
 | Spot/Forward
 | Swap
Total Other*** | Exotic
 | Option
 | Spot/Forward
 | Swap
TOTAL |  | N/A**** | N/A
Estimated swap dollar volumes, week ending November 9, by product type and cleared status (value of all trades in millions of USD), all participant types, tenors, and currencies. Data are adjusted for double-counting of cleared trades to show a single exposure for each trade.
Total(s) may be less than total shown for this asset class in the All Swaps reports and/or other CFTC Swaps Report tables if products were excluded from this table that (a) presented disclosure risk or (b) did not belong in the categories shown. See Explanatory Notes for more detail.
*See Data Dictionary for product descriptions.
**See Explanatory Notes for cleared and uncleared descriptions.
***Environment, Freight, Multi-Commodity Exotic
****N/A indicates that data are not currently available.
The Commission requests feedback on the format and content of this CFTC Swaps Report table. Submit comments to [EMAIL].
Spreadsheet: 163706d1340402285-excel-2007-pivot-subtotal-percent_subtotal
Sheet: pivot

 | Values
 | Counts |  |  | 2003 Work Around |  |  | 2007 Work Around
Year : Month | Android | iPhone | Windows | Android | iPhone | Windows | Android | iPhone | Windows
2011 | 554 | 418 | 177 | 1 | 1 | 0.9999999999999999 | 1 | 1 | 0.9999999999999999
Jan | 43 | 35 | 15 | 0.0776173285198556 | 0.08373205741626795 | 0.0847457627118644 | 0.0776173285198556 | 0.08373205741626795 | 0.0847457627118644
Feb | 46 | 37 | 12 | 0.08303249097472924 | 0.08851674641148326 | 0.06779661016949153 | 0.08303249097472924 | 0.08851674641148326 | 0.06779661016949153
Mar | 43 | 35 | 12 | 0.0776173285198556 | 0.08373205741626795 | 0.06779661016949153 | 0.0776173285198556 | 0.08373205741626795 | 0.06779661016949153
Apr | 50 | 33 | 14 | 0.09025270758122744 | 0.07894736842105263 | 0.07909604519774012 | 0.09025270758122744 | 0.07894736842105263 | 0.07909604519774012
May | 43 | 32 | 12 | 0.0776173285198556 | 0.07655502392344497 | 0.06779661016949153 | 0.0776173285198556 | 0.07655502392344497 | 0.06779661016949153
Jun | 50 | 34 | 18 | 0.09025270758122744 | 0.08133971291866028 | 0.1016949152542373 | 0.09025270758122744 | 0.08133971291866028 | 0.1016949152542373
Jul | 49 | 32 | 19 | 0.08844765342960288 | 0.07655502392344497 | 0.1073446327683616 | 0.08844765342960288 | 0.07655502392344497 | 0.1073446327683616
Aug | 48 | 35 | 12 | 0.08664259927797834 | 0.08373205741626795 | 0.06779661016949153 | 0.08664259927797834 | 0.08373205741626795 | 0.06779661016949153
Sep | 40 | 39 | 19 | 0.07220216606498195 | 0.09330143540669857 | 0.1073446327683616 | 0.07220216606498195 | 0.09330143540669857 | 0.1073446327683616
Oct | 48 | 40 | 16 | 0.08664259927797834 | 0.09569377990430622 | 0.0903954802259887 | 0.08664259927797834 | 0.09569377990430622 | 0.0903954802259887
Nov | 46 | 33 | 11 | 0.08303249097472924 | 0.07894736842105263 | 0.06214689265536723 | 0.08303249097472924 | 0.07894736842105263 | 0.06214689265536723
Dec | 48 | 33 | 17 | 0.08664259927797834 | 0.07894736842105263 | 0.096045197740113 | 0.08664259927797834 | 0.07894736842105263 | 0.096045197740113
2012 | 268 | 207 | 88 | 1 | 0.9999999999999999 | 1 | 1 | 0.9999999999999999 | 1
Jan | 42 | 32 | 16 | 0.1567164179104478 | 0.1545893719806763 | 0.1818181818181818 | 0.1567164179104478 | 0.1545893719806763 | 0.1818181818181818
Feb | 44 | 39 | 17 | 0.1641791044776119 | 0.1884057971014493 | 0.1931818181818182 | 0.1641791044776119 | 0.1884057971014493 | 0.1931818181818182
Mar | 50 | 35 | 15 | 0.1865671641791045 | 0.1690821256038647 | 0.1704545454545454 | 0.1865671641791045 | 0.1690821256038647 | 0.1704545454545454
Apr | 42 | 35 | 11 | 0.1567164179104478 | 0.1690821256038647 | 0.125 | 0.1567164179104478 | 0.1690821256038647 | 0.125
May | 44 | 31 | 11 | 0.1641791044776119 | 0.1497584541062802 | 0.125 | 0.1641791044776119 | 0.1497584541062802 | 0.125
Jun | 46 | 35 | 18 | 0.1716417910447761 | 0.1690821256038647 | 0.2045454545454546 | 0.1716417910447761 | 0.1690821256038647 | 0.2045454545454546
Grand Total | 822 | 625 | 265 | 2 | 2 | 2 | 2 | 2 | 2
Spreadsheet: 857317d1706343021-expand-relative-content-based-on-numbers-column-c-bk1
Sheet: Sheet1

Code | Name
SH600036 | A | 5 |  | SH600036 | A |  |  |  | A
SH601899 | AD | 4 |  | SH600036 | A |  |  | SH600036 | A
SH601390 | F | 1 |  | SH600036 | A |  |  | SH600036 | A
 |  |  |  | SH600036 | A |  |  | SH600036 | A
 |  |  |  | SH600036 | A |  |  | SH600036 | A
 |  |  |  | SH601899 | AD |  |  | SH601899 | AD
 |  |  |  | SH601899 | AD |  |  | SH601899 | AD
 |  |  |  | SH601899 | AD |  |  | SH601899 | AD
 |  |  |  | SH601899 | AD |  |  | SH601899 | AD
 |  |  |  | SH601390 | F |  |  | SH601390 | F
Spreadsheet: 198011d1354636787-formula-to-predict-missing-values-in-a-range-projection
Sheet: Sheet2

2009 | Aug | 0.01 | 0.01 | 0.01 | 0.01 | 0.01 | 0.01 | 0.01 | 0.01 | 0.01 | 0.022 | 0.027
 | Sep
 | Oct
 | Nov
 | Dec
2010 | Jan
 | Feb
 | Mar
 | Apr
 | May
 | Jun
 | Jul
 | Aug
 | Sep
 | Oct
 | Nov
 | Dec
2011 | Jan
 | Feb
 | Mar
 | Apr
 | May
 | Jun
 | Jul
 | Aug
 | Sep
 | Oct
 | Nov
 | Dec
2012 | Jan | 0.084 | 0.266 | 0.313 | 0.147 | 0.313 | 0.079 | 0.291 | N/A | 0.037 | 0.374 | 0.299
 | Feb | 0.091 | 0.269 | 0.311 | 0.143 | 0.312 | 0.072 | 0.295 | N/A | 0.03 | 0.381 | 0.296
 | Mar | 0.079 | 0.244 | 0.283 | 0.121 | 0.285 | 0.06 | 0.287 | N/A | 0.025 | 0.357 | 0.279
 | Apr | 0.088 | 0.265 | 0.303 | 0.123 | 0.298 | 0.071 | 0.286 | N/A | 0.029 | 0.363 | 0.299
 | May | 0.109 | 0.269 | 0.315 | 0.126 | 0.295 | 0.071 | 0.287 | N/A | 0.03 | 0.366 | 0.293
 | Jun | 0.102 | 0.262 | 0.311 | 0.127 | 0.273 | 0.072 | 0.286 | N/A | 0.036 | 0.354 | 0.296
 | Jul | 0.068 | 0.241 | 0.295 | 0.114 | 0.247 | 0.067 | 0.275 | N/A | 0.032 | 0.342 | 0.291
 | Aug
 | Sep
 | Oct
 | Nov
 | Dec
2013 | Jan
 | Feb
 | Mar
 | Apr
 | May
 | Jun
 | Jul
 | Aug
 | Sep
 | Oct
 | Nov
 | Dec
2014 | Jan
 | Feb
 | Mar
 | Apr
 | May
 | Jun
 | Jul
 | Aug
 | Sep
 | Oct
 | Nov
 | Dec
Spreadsheet: 854038d1703996179-calculating-annual-days-of-business-wrkday-2-
Sheet: Sheet1

 |  | 2020
 | HOLIDAY | DAY |  | Reflected |  | 2024-04-01 00:00:00 | 2024-06-22 00:00:00 |  |  | 2024-06-23 00:00:00 | 2024-08-31 00:00:00 |  |  | 2024-09-01 00:00:00 | 2025-01-25 00:00:00 |  |  | 2025-01-26 00:00:00 | 2025-03-31 00:00:00
 | Memorial Day |  |  | SUN |  | SUN | WEEK | SAT |  | SUN | WEEK | SAT |  | SUN | WEEK | SAT |  | SUN | WEEK | SAT
 | Juneteenth |  |  | WEEK
 | Fourth of July |  |  | SUN |  | 12 | 59 | 12 |  | 11 | 49 | 10 |  | 26 | 98 | 23 |  | 10 | 45 | 10
 | Labor Day |  |  | SUN
 | Columbus Day |  |  | SAT
 | Election Day |  |  | WEEK
 | Veteran's Day |  |  | SAT
 | Thanksgiving |  |  | SUN
 | Christmas |  |  | SUN
 | New Year's Day |  |  | SUN
 | MLK Day |  |  | SUN
 | Presidents Day |  |  | SAT
 | Christmas Eve
 | New Year's Eve
Spreadsheet: 57154d1257304412-median-nba
Sheet: Team

 |  |  |  |  |  |  |  | Mean/Average |  |  |  | Median |  |  |  | Standard Deviation
 |  | Games |  | Pts For |  | Pts Against |  | Goals For |  | Goals Against |  | Goals For |  | Goals Against |  | Goals For |  | Goals Against
Team |  | A | H | A | H | A | H | A | H | A | H | A | H | A | H | A | H | A | H
1 | ATL
2 | BOS
3 | CHA
4 | CHI
5 | CLE
6 | DAL
7 | DEN
8 | DET
9 | GS
10 | HOU
11 | IND
12 | LAC
13 | LAL
14 | MEM
15 | MIA
16 | MIL
17 | MIN
18 | NJ
19 | NO
20 | NY
21 | OKL
22 | ORL
23 | PHI
24 | PHO
25 | POR
26 | SA
27 | SAC
28 | TO
29 | UT
30 | WAS
Spreadsheet: 58872d1259158418-daily-repetitive-import-and-sort-macro-lookup-or-am-i-totally-on-the-wrong-track-book1
Sheet: Base Data

 | SKU NUMBER | SKU NAME | SPEC | PROCESS | MACHINE | TYPE | UOM | CAPACITY | RATE HR
 | 100 | A | 1 | MEASURE | 1 | MEASURE | BATCH | 1 | 10
 |  | B |  | MIX |  | MEASURE | BATCH | 1 | 10
 |  | C |  | FILL |  | MIX | BATCH | 1 | 10
 |  | D |  | BAKE |  | MIX | BATCH | 1 | 10
 |  | E |  | SLICE |  | FILL | BATCH | 1 | 10
 |  | F |  | PACK |  | FILL | BATCH | 1 | 10
 |  | G |  |  |  | FILL | BATCH | 1 | 10
 |  | H |  |  |  | FILL | BATCH | 1 | 10
 |  | I |  |  |  | BAKE | RACK | 1 | 10
 |  | J |  |  |  | BAKE | RACK | 1 | 10
 | 999 | Z | 11 |  |  | BAKE | RACK | 1 | 10
 |  |  |  |  |  | BAKE | RACK | 1 | 10
 |  |  |  |  |  | BAKE | BATCH | 1 | 10
 |  |  |  |  |  | BAKE | BATCH | 1 | 10
 |  |  |  |  |  | SLICE | BATCH | 1 | 10
 |  |  |  |  |  | SLICE | BATCH | 1 | 10
 |  |  |  |  |  | PACK | BATCH | 1 | 10
 |  |  |  |  |  | PACK | BATCH | 1 | 10
 |  |  |  |  |  | PACK | BATCH | 1 | 10
 |  |  |  |  |  | PACK | BATCH | 1 | 10
Spreadsheet: 691692d1597832385-help-with-formula-show-results-based-on-date-2020-08-19-oeldere-stefvdm-691689d1597831575-help-with-formula-show-results-based-on-date-voo
Sheet: Blad1

ID | Name | Date | Month
100 | Jan |  |  |  |  |  |  | Hey everyone, I've been working on a formula for several hours but can't seem to figure it out.
101 | Pieter | 2020-02-10 00:00:00
103 | Marleen | 2020-02-10 00:00:00 |  |  |  |  |  | At each end of the month I need a formule in the yellow field that shows the 'available' ID numbers of each person. A
104 | Jan
105 | Pieter | 2020-03-10 00:00:00 |  |  |  |  |  | For exemple: For January, it shows that everybody has all of there ID numbers available. But at the end of February, Marleen has used all of her ID numbers (once on 10/02, 15/02 and 20/02). But for [NAME] in February he has only used one ID number (on 10/02) and will use his other ID numbers in March and April. But for February the formula needs to detect the 2 available numbers in February.
107 | Marleen | 2020-02-15 00:00:00
108 | Jan |  |  |  |  |  |  | I really hope you guys can help me figure this out! Thanks in advance!
109 | Pieter | 2020-04-10 00:00:00
111 | Marleen | 2020-02-20 00:00:00
Yet to accomplish | Jan | Pieter | Marleen |  |  | Jan | Pieter | Marleen |  |  | Jan | Pieter | Marleen
January | 100 | 101 | 103 |  | February | 100 | 105 |  |  | March | 100 | 109
 | 104 | 105 | 107 |  |  | 104 | 109 |  |  |  | 104
 | 108 | 109 | 111 |  |  | 108 |  |  |  |  | 108
DC HJ | 2019-12-31 00:00:00 | 2020-02-01 00:00:00 |  |  |  |  |  | Aantal [NAME] |  | Month
 | 2020-01-31 00:00:00 | 2020-03-01 00:00:00 |  |  |  |  |  | Name | ID | 1 | 2 | 3 | 4 | Eindtotaal
 | 2020-02-29 00:00:00 | 2020-04-01 00:00:00 |  |  |  |  |  | Jan | 100 | 1 |  |  |  | 1
 | 2020-03-31 00:00:00 | 2020-05-01 00:00:00 |  |  |  |  |  | Jan | 104 | 1 |  |  |  | 1
 | 2020-04-30 00:00:00 | 2020-06-01 00:00:00 |  |  |  |  |  | Jan | 108 | 1 |  |  |  | 1
 | 2020-05-31 00:00:00 | 2020-07-01 00:00:00 |  |  |  |  |  | Marleen | 103 |  | 1 |  |  | 1
 | 2020-06-30 00:00:00 | 2020-08-01 00:00:00 |  |  |  |  |  | Marleen | 107 |  | 1 |  |  | 1
 | 2020-07-31 00:00:00 | 2020-09-01 00:00:00 |  |  |  |  |  | Marleen | 111 |  | 1 |  |  | 1
 | 2020-08-31 00:00:00 | 2020-10-01 00:00:00 |  |  |  |  |  | Pieter | 101 |  | 1 |  |  | 1
 | 2020-09-30 00:00:00 | 2020-11-01 00:00:00 |  |  |  |  |  | Pieter | 105 |  |  | 1 |  | 1
 | 2020-10-31 00:00:00 | 2020-12-01 00:00:00 |  |  |  |  |  | Pieter | 109 |  |  |  | 1 | 1
 | 2020-11-30 00:00:00 | 2021-01-01 00:00:00 |  |  |  |  |  | Eindtotaal |  | 3 | 4 | 1 | 1 | 9
Spreadsheet: 140886d1328923648-large-database-yfeb-food-total-values
Sheet: 2-20-12

 | Breakfast | Quantity | Measure | Food Item | Cost | Daily Points
 | Daily Total
 | Lunch | Quantity | Measure | Food Item | Cost | Daily Points
 | Dinner | Quantity | Measure | Food Items | Cost | Daily Points
Spreadsheet: tracy_geaccone__40256__C0366-112458
Sheet: Dept_100164

ENRON PROPERTY & SERVICES CORP
1400 Smith Street
Houston, Texas   77251 - 1188
MONTHLY INVOICE DETAIL
FACILITY MAINT. - Dept. 100164
May, 2001
0366  EOC - Executive
Date | Ticket Number | Work Order | Service Name | Service Description | # [NAME] | Unit Cost | UOM | Service | Ticket
 |  |  |  |  |  |  |  | Total | Total
 |  |  | R/C 112458
2001-05-29 00:00:00 | FMT100164-2001-05-0366-112458 |  | Facility Maintenance | Sq. Ft. Occupied | 90 | 0.04 | /EACH | 3.6
 |  |  |  |  |  |  | Ticket Total |  | 3.6
 |  |  |  |  |  |  | Total for R/C: 112458 |  | 3.6
 |  |  |  |  |  |  | Total for Dept_100164 |  | 3.6
Spreadsheet: 229510d1366410934-print-formatting-help-excel-2007-print36
Sheet: Print

1
Spreadsheet: darrell_schoolcraft__7309__imball0201
Sheet: DEFS

 | 23995 |  | 22051
 | 59687 |  | 10703
Day | Measured | Scheduled | Measured | Scheduled | Totals
1 |  |  | 23592 | 24000
2 |  |  | 24358 | 24000
3 |  |  | 24506 | 24000
4 |  |  | 24638 | 24000
5 |  |  | 24617 | 24000
6 |  |  | 24627 | 24000
7 |  |  | 24565 | 24000
8 |  |  | 24616 | 24000
9 |  |  | 24626 | 24000
10 |  |  | 24629 | 24000
11 |  |  | 24633 | 24000
12 |  |  | 23308 | 24000
13 |  |  | 24655 | 24000
14 |  |  | 25210 | 24000
15 |  |  | 24932 | 24000
16 |  |  | 24697 | 24000
17 |  |  | 24663 | 24000
18 |  |  | 24599 | 24000
19 |  |  | 24683 | 24000
20 |  |  | 24690 | 23812
21 |  |  | 24674 | 24000
22 |  |  | 24691 | 24000
23
24
25
26
27
28
29
30 |  |  |  |  |  |  | CBS Volume | 23995 | 22051
31 |  |  |  |  |  |  |  | -183022 | -128597
2001-12-31 00:00:00 | Balance | -1033420.01 |  | -571850.34
2002-01-22 00:00:00 | Balance
 |  |  |  | Contract #
 |  |  |  | 22864 | 0 | Zia |  |  | 22864
 |  |  |  | 20379 | -51695.87 | Grayco/Artesia |  |  | 20379 | 2979
 |  |  |  | 26357 |  | [NAME] |  |  | 26357
 |  |  |  | 21544 | 61340.16 | [NAME], [NAME] |  |  | 21544 | 36108
 |  |  |  | 24532 | -1164285.8 | 500211,500212,500219,500230 - Coburn points |  |  | 24532 | -152764
 |  |  |  | Duke
20379
24532
21544
26357
22864
23995
22051
21665
22664
24361
26393
24268
Spreadsheet: 42563d1241103502-employee-schedule-help-schedule09d-bargraph
Sheet: Week

 |  | Area | Sunday |  | Monday |  | Tuesday |  | Wednesday |  | Thursday |  | Friday |  | Saturday |  |  | Total Hours
 |  | Service | Hours | 29 | Hours | 8 | Hours | 8 | Hours | 8 | Hours | 8 | Hours | 8 | Hours | 8 |  | 77
1 | 62 | [NAME] | 07:00:00 | 13:00:00 | 08:00:00 | 14:00:00 | 08:00:00 | 14:00:00 | 08:00:00 | 14:00:00 | 08:00:00 | 14:00:00 | 08:00:00 | 14:00:00 | 08:00:00 | 14:00:00
2 | 74 | Hayley | 18:00:00 | 22:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00
3 | 9 | [NAME] | 09:00:00 | 16:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00
4 | 26 | [NAME] | 13:00:00 | 18:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00
5 | 43 | Ramsay | 11:00:00 | 18:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00 | 1900-01-01 00:00:00
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
Spreadsheet: 747046d1631197096-formula-to-combine-forecast-data-with-ingoing-materials-of-forecasted-items-book1-6-
Sheet: Ingoing material per SKU

 |  | Ingoing material per SKU
 |  | Item name | Item 1 | Item 2 | Item 3 | Item 4 | Item 5 | Item 6 | Item 7 | Item 8 | Item 9 | Item 10
 |  | SKU 1 | 1 | 1 |  |  | 2 |  | 2
 |  | SKU 2 | 1 |  | 1 |  | 2 |  |  | 2
 |  | SKU 3 | 1 |  | 1 |  |  | 2 | 2
 |  | SKU 4
 |  | SKU 5 |  |  | 1 | 1 | 2 | 2
 |  | SKU 6 |  |  | 1 | 1 | 2 |  | 2
 |  | SKU 7 |  | 1 | 1 |  | 2 |  | 2
 |  | SKU 8 | 1 |  |  | 1
 |  | SKU 9 | 1 | 1 |  |  | 2 |  | 2
 |  | SKU 10 | 1 |  | 1 |  | 2 |  |  | 2 | 2
 |  | SKU 11 | 1 |  | 1 |  |  | 2 | 2 |  |  | 2
 |  | SKU 12
 |  | SKU 13 | 1 | 1 |  |  | 2 |  | 2
 |  | SKU 14 | 1 |  | 1 |  | 2 |  |  | 2 |  | 2
 |  | SKU 15 | 1 |  | 1 |  |  | 2 | 2 |  |  | 2
 |  | SKU 16 |  |  |  |  |  |  |  |  |  | 2
 |  | SKU 17 |  |  | 1 | 1 | 2 | 2 |  |  | 2
 |  | SKU 18 |  |  | 1 | 1 | 2 |  | 2 |  | 2
 |  | SKU 19 |  | 1 | 1 |  | 2 |  | 2 |  | 2
 |  | SKU 20 | 1 |  |  | 1 |  |  |  |  | 2