tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 177927d1346523042-how-to-add-multiple-axis-in-the-chart-c-vs-p-as-on-31-08-12
Sheet: Sheet1 (2)

 | CATEGORYWISE PAYMENT MADE AS ON 31.08.12
 | Year | Capital |  | Chemical |  | Project |  | Service |  | Spares & Consumables |  | Welfare & Safety |  | Total |  |  |  | Mine |  |  |  | Acid
 |  | Paid | [NAME]. | Paid | [NAME]. | Paid | [NAME]. | Paid | [NAME]. | Paid | [NAME]. | Paid | [NAME]. | Paid | [NAME]. |  |  | Year | Production | Avg. Production |  | Year | Production | Avg. Production
 | 2009 | 1.51416701008018 | 0.2163095728685971 | 0.706943376 | 0.1009919108571429 | 2.41260505 | 0.3446578642857143 | 0.381588006965636 | 0.05451257242366229 | 14.2717723783826 | 2.038824625483229 | 0.473799897563001 | 0.06768569965185729 | 19.76087571899142 | 2.822982245570202 |  |  | 2008 | 552000 | 1514 | 1.5 | 2008
 | 2010 | 2.95847281855556 | 0.2465394015462966 | 0 | 0 | 4.417454596611109 | 0.3681212163842591 | 1.84582919902222 | 0.1538190999185183 | 16.90306961825 | 1.408589134854167 | 0.9167277014444449 | 0.07639397512037041 | 27.04155393388334 | 2.253462827823611 |  |  | 2009 | 903000 | 2472 | 2.5 | 2009 | 282716 | 775 | 7.8
 | 2011 | 5.18706724511111 | 0.4322556037592591 | 0.23882665 | 0.01990222083333333 | 2.33583847138889 | 0.1946532059490742 | 2.90319622978889 | 0.2419330191490742 | 18.1561552169483 | 1.513012934745692 | 0.7940700980222221 | 0.06617250816851851 | 29.61515391125941 | 2.467929492604951 |  |  | 2010 | 1055000 | 2890 | 2.9 | 2010 | 314088 | 861 | 8.6
 | 2012 | 3.23756011345833 | 0.4046950141822912 | 0.244358961111111 | 0.03054487013888888 | 0.20881862 | 0.0261023275 | 1.32683107076778 | 0.1658538838459725 | 8.871180126993892 | 1.108897515874236 | 0.511045799255556 | 0.0638807249069445 | 14.39979469158667 | 1.799974336448333 |  |  | 2011 | 1411000 | 3866 | 3.8 | 2011 | 391017 | 1071 | 10.7
 | Total |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2012 | 963000 | 3931 | 4 | 2012 | 239619 | 978 | 9.78
Spreadsheet: 538686d1505770429-calculations-going-wrong-sumif-from-another-sheet
Sheet: Sheet2

Store Number | Name | Audit Date | Range | Total Payments | Total Loss | Shrink % | Void % | Duplicate % | Total Inventory
112 | 105 Flatlands Ave | 2017-09-12 00:00:00 | 5/17 - 9/17 | 24750.07 | 495.44 | 0.02 | 0.0224 | 0.0201 | 2217.44
111 | Nostrand Ave | 2017-09-12 00:00:00 | 5/17 - 9/17 | 32608.8 | 251.38 | 0.0077 | 0.011 | 0.0327 | 440.05
71 | [NAME] | 2017-09-13 00:00:00 | 5/17 - 9/17 | 35961.78 | 1560.06 | 0.0434 | 0.0078 | 0.0184 | 1799.02
71 | [NAME] |  |  | 10000 | 200 | 0.0105 | 0.0078 | 0.01 | 200
Spreadsheet: 192680d1352489833-duration-calculation-and-results-populated-on-another-sheet-gantt-example
Sheet: Schedule

Product: | Four
 |  |  |  |  | Hidden Columns
 | Active | Start | End | Duration | Start of Duration | End of Duration
Solution Engineer
Task A |  | 2012-11-05 00:00:00 | 2012-11-18 00:00:00 |  | [NAME] | D3
Task B |  | 2012-11-06 00:00:00 | 2012-11-20 00:00:00
Task C
Task D
Task E
Task F
Spreadsheet: 274506d1383138144-formula-to-count-days-overdue-5-10-15-20-25-30-60-90-eam-procrement-mro-status
Sheet: Stats

 | EAM MRO Procurement Status
 | Ttl Reqs Open | Project Related Reqs | P Status Reqs | Orders past Due | IN Routing | Auth But no PO | [NAME] | Due 0 - 5 days | Due 5 - 10 days | Overdue 15 days | Overdue 20 days | Overdue 25 days | Overdue 30 days | Overdue 60 days | Overdue 90+ days |  | Efficiency Rating | WoW | WoM
2013-06-14 00:00:00 | 252 | 19 | 57 |  | 3 | 14 | 195 | 17 | 31 | 9 | 28 | 18 | 18 | 67 | 64
2013-06-21 00:00:00 | 297 | 32 | 76 |  | 10 | 6 | 232 | 51 | 15 | 29 | 9 | 27 | 18 | 82 | 66
2013-06-28 00:00:00 | 295 | 42 | 94 |  | 17 | 15 | 211 | 72 | 35 | 23 | 12 | 18 | 8 | 79 | 48
2013-07-05 00:00:00 | 242 | 43 | 87 |  | 7 | 37 | 187 | 45 | 27 | 37 | 11 | 13 | 15 | 42 | 52
2013-07-12 00:00:00 | 250 | 37 | 63 |  | 4 | 9 | 197 | 47 | 37 | 24 | 22 | 10 | 12 | 52 | 46
2013-07-19 00:00:00 | 224 | 32 | 47 |  | 17 | 11 | 186 | 33 | 30 | 31 | 15 | 21 | 7 | 40 | 47
2013-07-26 00:00:00 | 193 | 31 | 29 |  | 3 | 8 | 193 | 10 | 21 | 22 | 32 | 15 | 17 | 32 | 44
2013-08-02 00:00:00 | 264 | 32 | 45 |  | 3 | 11 | 222 | 56 | 10 | 24 | 24 | 33 | 14 | 42 | 58
2013-08-09 00:00:00 | 237 | 32 | 34 |  | 3 | 11 | 203 | 10 | 35 | 9 | 21 | 24 | 28 | 46 | 64
2013-08-16 00:00:00 | 279 | 40 | 50 |  | 6 | 5 | 229 | 86 | 48 | 22 | 8 | 65 | 37 | 11 | 2
2013-08-23 00:00:00 | 286 | 39 | 36 | 31 | 3 | 5 | 250 | 62 | 48 | 41 | 17 | 7 | 65 | 45 | 1
2013-08-30 00:00:00 | 269 | 30 | 27 | 45 | 4 | 1 | 242 | 54 | 33 | 28 | 35 | 12 | 7 | 98 | 1
2013-09-06 00:00:00 | 267 | 27 | 35 | 6 | 7 | 1 | 232 | 65 | 29 | 22 | 21 | 33 | 8 | 88 | 1
2013-09-13 00:00:00 | 214 | 13 | 38 | 63 | 3 | 1 | 176 | 46 | 28 | 11 | 8 | 22 | 5 | 53 | 41
2013-09-20 00:00:00 | 222 | 12 | 51 | 34 | 8 | 17 | 168 | 37 | 34 | 20 | 11 | 8 | 22 | 41 | 49
2013-09-27 00:00:00 | 203 | 13 | 44 | 34 | 9 | 5 | 159 | 50 | 14 | 33 | 10 | 12 | 11 | 64 | 9
2013-10-04 00:00:00 | 214 | 19 | 41 | 65 | 8 | 12 | 173 | 42 | 10 | 21 | 20 | 12 | 6 | 42 | 61
2013-10-11 00:00:00 | 215 | 19 | 39 | 0 | 6 | 5 | 176 | 28 | 38 | 9 | 20 | 19 | 11 | 24 | 66
2013-10-18 00:00:00 | 199 | 18 | 33 | 4 | 6 | 13 | 167 | 21 | 18 | 31 | 7 | 19 | 15 | 24 | 64
2013-10-25 00:00:00 | 172 | 7 | 21 | 43 | 2 | 2 | 150 | 21 | 17 | 12 | 24 | 8 | 17 | 30 | 43
2013-11-01 00:00:00
Spreadsheet: 807968d1670199124-dynamic-dependent-dropdown-list-in-excel-categories-tms-v2
Sheet: Sheet1 (TMS v3)

 | STEP 1
 | Categories |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Prep
 | Cat 1 | << 1. Up to 10 but not necessarily 10 (and with blanks) |  |  |  |  | << 2. Categories reorganized to remove blanks
 |  |  |  |  |  | Cat 3
 | Cat 3 |  |  |  |  | Cat 4
 | Cat 4 |  |  |  |  | Cat 5 |  |  | Cat 1 | << 3. Dropdown on only available categories, without blanks
 | Cat 5 |  |  |  |  | Cat 6 |  |  | "DV: $G$5#"
 |  |  |  |  |  | Cat 7
 | Cat 6
 | Cat 7
 | STEP 2 | << Up to 16 but not necessarily 16 (and with blanks). Each associated with a Category
 | Sub Categories | Associated Cat
1 | Sub 1 | Cat 1 | << Using categories dropdown previously created to associate category to each sub
 | Sub 2 | Cat 4
 | Sub 3 | Cat 6
 | Sub4 | Cat 4 |  | Cat Dropdown
 | Sub 5 | Cat 4 |  | Cat 1 |  |  | Cat 3 | Cat 4 | Cat 5 | Cat 6 | Cat 7
 | Sub 6 | Cat 3 |  | "DV: $G$5#" |  | Cat_1T
 |  |  |  | [NAME]?? |  |  | Sub 13 | Sub4 | Sub 12 | Sub 10 | Sub 11
 | Sub7 | Cat 1 |  | Sub 1 |  |  |  | Sub 5 |  |  |  |  |  |  |  |  | Sub7
 | Sub 8 | Cat 7 |  | "DV: =INDIRECT(SUBSTITUTE($E$24," ","_"))"
 | Sub 9 | Cat 5
 | Sub 10 | Cat 6
 |  |  |  | (copied across)
 | Sub 11 | Cat 7
 | Sub 12 | Cat 5 |  | Sub 1
 | Sub 13 | Cat 3
Spreadsheet: 718150d1613014504-formula-to-consolidate-data-from-multiple-sheets-get-data-from-multiple-sheets
Sheet: 19

 |  |  | Date | 2021-01-19 00:00:00
Machine | From | To | Total Time | Failure Code | Extention Code | Delay Code | Equip. Name | Stoppage Code | Stoppage Description | Stoppage Category
Machine1 | 10:00:00 | 12:00:00 |  |  |  |  |  | 1000 | Stoppage 1 | Category 1
Machine1 | 09:00:00 | 10:00:00 |  |  |  |  |  | 505 | Stoppage 2 | Category 2
Machine2 | 12:00:00 | 13:00:00 |  |  |  |  |  | 1001 | Stoppage 3 | Category 3
Machine3 | 09:00:00 | 10:00:00 |  |  |  |  |  | 505 | Stoppage 4 | Category 1
Machine4 | 15:00:00 | 1 day, 0:00:00 |  |  |  |  |  | 1004 | Stoppage 3 | Category 4
Machine5 | 08:00:00 | 09:00:00 |  |  |  |  |  | 505 | Stoppage 2 | Category 2
Machine5 | 10:00:00 | 11:00:00 |  |  |  |  |  | 505 | Stoppage 2 | Category 2
Machine5 | 13:00:00 | 14:00:00 |  |  |  |  |  | 505 | Stoppage 2 | Category 2
Machine5 | 15:00:00 | 16:00:00 |  |  |  |  |  | 505 | Stoppage 2 | Category 2
Machine5 | 20:00:00 | 23:00:00 |  |  |  |  |  | 505 | Stoppage 2 | Category 2
Machine6 | 20:00:00 | 1 day, 0:00:00 |  |  |  |  |  | 505 | Stoppage 2 | Category 2
Spreadsheet: 266469d1379620825-use-selections-from-two-data-validation-lists-to-lookup-and-return-a-combined-result-state-county-fips-codes
Sheet: NEW HAMPSHIRE-28

 | COUNTY | CODE
 | Belknap | 1
 | Carroll | 3
 | Cheshire | 5
 | Coos | 7
 | [NAME] | 9
 | Hillsborough | 11
 | Merrimack | 13
 | Rockingham | 15
 | [NAME] | 17
 | [NAME] | 19
Spreadsheet: 720847d1614318186-filter-formula-to-pull-data-from-matching-range-group-filter-group-example-2
Sheet: DATA TEST

 | CLASS 1 |  |  | CLASS B |  |  | CLASS 4 |  |  | CLASS G
 | NAME | SCORE | CRITERIA | NAME | SCORE | CRITERIA | NAME | SCORE | CRITERIA | NAME | SCORE | CRITERIA
 | [NAME] | 50 | PASS | SAM | 550 | PASS | [NAME] | 51 | PASS | JAKE | 551 | FAIL
 | TOM | 300 | FAIL | WILL | 270 | FAIL | FRANK | 301 | FAIL | JENNY | 271 | FAIL
 | BILL | 25 | FAIL | BOB | 15 | PASS | [NAME] | 26 | FAIL | WILMA | 16 | PASS
 | FRED | 250 | FAIL | TOM | 275 | PASS | PAT | 251 | PASS | OLGA | 276 | FAIL
 | SUE | 5 | PASS | [NAME] | 25 | FAIL | [NAME] | 6 | PASS | EUGENE | 26 | PASS
 | [NAME] | 250 | FAIL | HARRY | 50 | PASS | FRED | 251 | PASS | [NAME] | 51 | PASS
 |  |  |  |  |  |  |  |  |  |  |  |  |  | CLASS: | CLASS 1
 |  |  |  |  |  |  |  |  |  |  |  |  |  | NAME: | TOM
 |  |  |  |  |  |  |  |  |  |  |  |  |  | SCORE:
 |  |  |  |  |  |  |  |  |  |  |  |  |  | CRITERIA:
 |  |  |  |  |  |  |  |  |  |  |  |  |  | ALL FAILS FOR SPECIFIED CLASS
 |  |  |  |  |  |  |  |  |  |  |  |  |  | NAME | SCORE
Spreadsheet: f077162d-edb9-40c8-b5a4-605d785811b7
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | SWIM | T1 | BIKE | T2 | RUN | POSITION | TOTAL TIME
259738 | 75740 | [NAME] | Gajardo Wulf | CHI |  | [NAME] | 00:00:45 | 02:36:22 | 00:00:56 | 01:44:10 | 1 | 04:52:43
259738 | 75730 | Sergio | Avendaño | CHI |  | 00:47:19 | [NAME] | 03:19:35 | 00:00:45 | 01:58:31 | 2 | 06:07:01
259738 | 75742 | [NAME] | Olivares [NAME] | CHI |  | 00:44:27 | 00:02:03 | 03:25:50 | 00:01:13 | 02:02:57 | 3 | 06:16:30
259738 | 75739 | [NAME] | [NAME] | CHI |  | 00:37:04 | 00:01:14 | 03:22:25 | 00:00:47 | 02:46:02 | 4 | 06:47:32
259738 | 75737 | [NAME] | [NAME] | CHI |  | 00:00:01 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | DNF | 00:00:00
259738 | 75741 | Felipe | [NAME] | CHI |  | 00:00:01 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | DNF | 00:00:00
259738 | 75761 | Jorge | Orrego Rivera | CHI |  | 00:00:01 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | DNF | 00:00:00
Spreadsheet: 858179d1706909330-distribute-data-to-columns-named-month-table-dj-1
Sheet: Found

[NAME] | January | February | March | April | May | June | July | August | September | October | November | December
[NAME]
ABC
[NAME]
ATA
AEG
HOBBIT
 |  | How can we bring the data in the column we want from the section with month names on the data page to the columns of the months?
 |  | It is to count and find the days of the customers with the letter s in the months in the other page of the columns named month.
Spreadsheet: 150102d1334288007-take-column-data-from-one-sheet-to-another-based-on-unique-identifier-sample1
Sheet: Email Versions

[NAME] | Version
[EMAIL] | Version A
[EMAIL] | Version A
[EMAIL] | Version A
[EMAIL] | Version B
[EMAIL] | Version B
[EMAIL] | Version B
[EMAIL] | Version B
[EMAIL] | Version B
[EMAIL] | Version A
[EMAIL] | Version A
[EMAIL] | Version A
[EMAIL] | Version A
[EMAIL] | Version A
[EMAIL] | Version A
[EMAIL] | Version B
[EMAIL] | Version B
[EMAIL] | Version B
[EMAIL] | Version B
[EMAIL] | Version B
[EMAIL] | Version B
[EMAIL] | Version B
[EMAIL] | Version B
[EMAIL] | Version B
[EMAIL] | Version B
[EMAIL] | Version B
[EMAIL] | Version B
[EMAIL] | Version A
[EMAIL] | Version A
[EMAIL] | Version A
[EMAIL] | Version A
[EMAIL] | Version A
[EMAIL] | Version A
[EMAIL] | Version B
[EMAIL] | Version B
Spreadsheet: 98824d1297679394-combine-bar-and-line-graphs-book1
Sheet: Sheet2

 |  |  | Staff 1 | Staff 2 | Staff 3 | Staff 4 | Staff 5 | Average
 |  | Jan | 5704.837352941178 | 7398.837500000001 | 7245.35 | 2276.514375 | 3555.315652173913 | 4671.880430107527
 |  | Feb | 4596.564945054945 | 2829.916 | 43032.61500000001 | 2149.680188679245 | 4703.900178571429 | 4432.939289340101
 |  | Mar | 4408.371117647059 | 5765.819473684211 | 8745.76 | 1262.3034375 | 3926.4405 | 4057.660497925312
 |  | Apr | 3654.939664804469 | 5277.382307692308 | 2023.59 | 1295.045789473684 | 2250.81 | 3408.557617021277
 |  | May | 3110.735462184874 | 6441.602222222222 | 10905.68166666667 | 2045.722432432432 | 2361.389090909091 | 3362.389801980197
 |  | Jun | 3552.494285714286 | 9419.971428571429 | 4365.21 | 1051.20425 | 2491.087884615385 | 3242.448943661972
 |  | Jul | 3128.649271070615 | 7740.75 | 7421.336428571429 | 2633.1204 | 2849.956216216216 | 3223.944291845492
 |  | Aug | 3995.353146853147 | 3509.531333333333 | 7254.85 | 888.8920454545455 | 2055.86 | 3147.516387665198
Spreadsheet: 794709d1662232907-formula-for-a-counter-when-analyzing-two-columns-formula-for-counter
Sheet: Sheet1

 |  | NEED A Formula
Individual setup | Group Setup Needed | Final
 | 1 | 1
1 |  | 2
 | 2 | 3
 | 3 | 4
2 |  | 5
3 |  | 6
 | 4 | 7
Spreadsheet: 55321d1255456296-assist-drop-down-list-master-exp-report-fy10
Sheet: Transportation Log

Transportation Log
Name: | 0
NOTE:  Do not enter charges on this sheet and on the expense report, this causes duplicate entries.  The transportation log is to be used when you have multiple entries.
Date | Type | From (City, State) | To (City, State) | Total Miles | Total $$
 | POV |  |  | 0 | 0
 | POV |  |  | 0 | 0
 | POV |  |  | 0 | 0
 | POV |  |  | 0 | 0
 | POV |  |  | 0 | 0
 | POV |  |  | 0 | 0
 | POV |  |  | 0 | 0
 | POV |  |  | 0 | 0
 | POV |  |  | 0 | 0
 | POV |  |  | 0 | 0
 | POV |  |  | 0 | 0
 | POV |  |  | 0 | 0
 | POV |  |  | 0 | 0
 | POV |  |  | 0 | 0
 | POV |  |  | 0 | 0
 | POV |  |  | 0 | 0
 | POV |  |  | 0 | 0
 | POV |  |  | 0 | 0
 | POV |  |  | 0 | 0
 | Metro |  |  |  | 0
 | Metro |  |  |  | 0
 | Metro |  |  |  | 0
 | Metro |  |  |  | 0
 | Metro |  |  |  | 0
 | Metro |  |  |  | 0
 | Metro |  |  |  | 0
 | Metro |  |  |  | 0
 | Metro |  |  |  | 0
 | Metro |  |  |  | 0
 | Metro |  |  |  | 0
 | Taxi |  |  |  | 0
 | Taxi |  |  |  | 0
 | Taxi |  |  |  | 0
 | Taxi |  |  |  | 0
 | Taxi |  |  |  | 0
 | Taxi |  |  |  | 0
 | Taxi |  |  |  | 0
 | Taxi |  |  |  | 0
 | Taxi |  |  |  | 0
 | Taxi |  |  |  | 0
 | Parking/Tolls |  |  |  | 0
 | Parking/Tolls |  |  |  | 0
 | Parking/Tolls |  |  |  | 0
 | Parking/Tolls |  |  |  | 0
 | Parking/Tolls |  |  |  | 0
 | Parking/Tolls |  |  |  | 0
 | Parking/Tolls |  |  |  | 0
 | Parking/Tolls |  |  |  | 0
 | Parking/Tolls |  |  |  | 0
 | Parking/Tolls |  |  |  | 0
 | Total |  |  |  | 0
Please attach this to your expense report for reimbursement.
Spreadsheet: 267379d1380057969-using-array-formulas-to-pull-data-from-one-tab-to-another-caseload-roster
Sheet: Case Load

 | [NAME]
 | Name: | [NAME] |  | <--- Select from the drop-down list to change the table below.
 | # of kids: | 28 | Total Hours/Week: | 0 |  |  |  |  | Add names of therapist to show up on [NAME]-Down list
 |  |  |  |  |  |  |  |  | ESBA Therapist List / Status (Column K)
 | DON'T TOUCH/EDIT/DELETE THE TABLE BELOW!! (Information is pulled from the Other tabs- go change stuff there if you want to change something)
# | Last Name | First Name | HRS | Service | Case Manager | Report Due Date | Completed (Y/N) |  | Therapist |  | LEGEND:
1 |  |  |  |  |  |  |  |  | Pending |  | *Pending- awaiting auth & eval.
2 |  |  |  |  |  |  |  |  | Waitlist |  | *In Process- working with family to schedule.
3 |  |  |  |  |  |  |  |  | [NAME] |  | *Waitlist-special circumstances i.e. home child, etc.
4 |  |  |  |  |  |  |  |  | Norma
5 |  |  |  |  |  |  |  |  | [NAME]
6 |  |  |  |  |  |  |  |  | [NAME]
7 |  |  |  |  |  |  |  |  | Betty
8 |  |  |  |  |  |  |  |  | [NAME]
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
Spreadsheet: 0fda912a-6dbb-487d-8837-aca41cd5ef49
Sheet: 11c

Product1 | 0-34 | 3-6 | 6-12 | 12-24 | 24-60 | 60-120 | 120-360 | 360+ | TOTAL
Cross-Currency Basis | 38 | 7 | 56 | 94 | 167 | 157 | 115 | 7 | 641
Cross-Currency Fixed-Fixed | - | - | 8 | 3 | 23 | 7 | 21 | 4 | 66
Cross-Currency Fixed-Float | 29 | 5 | 32 | 61 | 48 | 55 | 24 | - | 254
TOTAL | 67 | 12 | 96 | 158 | 238 | 219 | 160 | 11 | 961
Spreadsheet: 94687d1294423335-how-may-entries-within-a-given-radius-distancefrompoint
Sheet: Sheet1

X | y |  | From pt (x,Y) | 4 | 5 | distance= | 3
1 | 1
2 | 1 |  |  |  | How Many =
3 | 1
4 | 1
5 | 1
6 | 1
7 | 1
8 | 1
9 | 1
10 | 1
1 | 2
2 | 2
3 | 2
4 | 2
5 | 2
6 | 2
7 | 2
8 | 2
9 | 2
10 | 2
1 | 3
2 | 3
3 | 3
4 | 3
5 | 3
6 | 3
7 | 3
8 | 3
9 | 3
10 | 3
1 | 4
2 | 4
3 | 4
4 | 4
5 | 4
6 | 4
7 | 4
8 | 4
9 | 4
10 | 4
1 | 5
2 | 5
3 | 5
4 | 5
5 | 5
6 | 5
7 | 5
8 | 5
9 | 5
10 | 5
1 | 6
2 | 6
3 | 6
4 | 6
5 | 6
6 | 6
7 | 6
8 | 6
9 | 6
10 | 6
1 | 7
2 | 7
3 | 7
4 | 7
5 | 7
6 | 7
7 | 7
8 | 7
9 | 7
10 | 7
1 | 8
2 | 8
3 | 8
4 | 8
5 | 8
6 | 8
7 | 8
8 | 8
9 | 8
10 | 8
1 | 9
2 | 9
3 | 9
4 | 9
5 | 9
6 | 9
7 | 9
8 | 9
9 | 9
10 | 9
1 | 10
2 | 10
3 | 10
4 | 10
5 | 10
6 | 10
7 | 10
8 | 10
9 | 10
10 | 10
Spreadsheet: jeff_dasovich__14257__Strategy Master
Sheet: Technology Leaders

Technology Leaders
[NAME]
Target |  |  |  | Contact |  |  | Enron | Status
IBM |  |  |  | Gerstner/Palmisano |  |  | Lay/Skilling
Sun Micro |  |  |  | McNeely |  |  | Lay/Skilling
Oracle |  |  |  | [NAME] |  |  | Lay/Skilling
Cypress Semi |  |  |  | TJ Rodgers |  |  | Lay/Skilling
Compaq |  |  |  |  |  |  | Lay/Skilling
AOL |  |  |  | Case |  |  | Lay/Skilling
Messages
 | Electricity market is borken nationally (CA tip of iceberg)
 | New economy won't survive unless electricity market is fixed
 | [NAME] is not the problem, it's the answer
Briefing Material
 | National Load Growth vs. National Supply Growth
 | California Load Growth vs. California Supply Growth
 | Regional Load Growth vs. Regional Supply Growth
 | Technology SIC electricity spending
 | Load Growth driven by internet economy
 | Reliability indicators
Action Items |  |  |  |  |  | Status
 | Signature on Op-Ed
 | Mention in Speech
 | Letter to FERC
 | Agree to take media referrals
 | Identify the “point” person inside company
Spreadsheet: 836205d1689169711-minutes-formula-rota-template
Sheet: Rota

 | Care at Home Services - Timesheets by Service User
 | Start | End | Duration |  | Service Type |  | Employee
 |  | 2023-07-10 00:00:00
 | 07:15:00 | 07:30:00 |  |  | EC Personal Care - AM Visit
 | 19:00:00 | 19:15:00 |  |  | EC Personal Care - Evening Visit
 | 22:15:00 | 22:30:00 |  |  | EC Personal Care - Night Visit
 | 07:15:00 | 07:30:00 |  |  | EC Personal Care - AM Visit
 | 19:00:00 | 19:15:00 |  |  | EC Personal Care - Evening Visit
 | 22:15:00 | 22:30:00 |  |  | EC Personal Care - Night Visit
 | 07:15:00 | 07:30:00 |  |  | EC Personal Care - AM Visit
 | 19:15:00 | 19:30:00 |  |  | EC Personal Care - Evening Visit
 | 22:15:00 | 22:30:00 |  |  | EC Personal Care - Night Visit
 | 07:15:00 | 07:30:00 |  |  | EC Personal Care - AM Visit
 | 19:00:00 | 19:15:00 |  |  | EC Personal Care - Evening Visit
 | 22:15:00 | 22:30:00 |  |  | EC Personal Care - Night Visit
 | 07:15:00 | 07:30:00 |  |  | EC Personal Care - AM Visit
 | 19:15:00 | 19:30:00 |  |  | EC Personal Care - Evening Visit
 | 22:15:00 | 22:30:00 |  |  | EC Personal Care - Night Visit
 | 07:15:00 | 07:30:00 |  |  | EC Personal Care - AM Visit
 | 19:00:00 | 19:15:00 |  |  | EC Personal Care - Evening Visit
 | 21:45:00 | 22:00:00 |  |  | EC Personal Care - Night Visit
 | 07:15:00 | 07:30:00 |  |  | EC Personal Care - AM Visit
 | 18:45:00 | 19:00:00 |  |  | EC Personal Care - Evening Visit
 | 22:15:00 | 22:30:00 |  |  | EC Personal Care - Night Visit
 | 07:15:00 | 07:30:00 |  |  | EC Personal Care - AM Visit
 | 18:45:00 | 19:00:00 |  |  | EC Personal Care - Evening Visit
 | 22:15:00 | 22:30:00 |  |  | EC Personal Care - Night Visit
 | 07:15:00 | 07:30:00 |  |  | EC Personal Care - AM Visit
 | 18:45:00 | 19:00:00 |  |  | EC Personal Care - Evening Visit
 | 22:15:00 | 22:30:00 |  |  | EC Personal Care - Night Visit
Spreadsheet: 90164d1289925801-search-for-multiple-keywords-within-a-single-text-cell-test2
Sheet: Raw Data

firstName | lastName | Employer | Job Title | Industry | Focus |  |  | Keywords | Corresponding Industry
Blaine | Penny | [NAME] | Geo-technical director for Canada |  |  |  |  | Highway | Urban Roads
[NAME] | [NAME] | Yukon Department of Highways and Public Works | Assistant Deputy Minister |  |  |  |  | Urban | Urban Roads
[NAME] | Magnuson | Yukon Department of Highways and Public Works | Assistant Deputy Minister |  |  |  |  | Bridge | Transit
[NAME] | Marynowski | Yukon Department of Highways and Public Works | Aggregates & Materials Technician |  |  |  |  | Operations | Active Transport
Zoltan | [NAME] | Zoltan Kuun Associates | Principal |  |  |  |  | Water | Water
[NAME] | [NAME] | Rocky Mountain Engineering | President |  | Design |  |  | Infrastructure | Urban Roads
Todd | Oldford | Atcon Construction Inc | Engineering Manager, Transportation |  |  |  |  | Rail | Transit
Mohammad | Ashraf | Government of  Alberta - Transportation & Infrastructure | Highway Operations Engineer |  |  |  |  | Project Manager | Undefined
Nusrat | [NAME] | AECOM | Transportation Engineer |  |  |  |  | Project Engineer | Undefined
[NAME] | Bain | AECOM | Transportation Engineer |  |  |  |  | Transportation Engineer | Undefined
Ferhan | Bhanji | AECOM | Transportation Engineer
Vedran | [NAME] | AECOM | Transportation Engineer
Leanne | Binetruy | AECOM | Transportation Engineer
Nikolay | Danilov | AECOM | Highway Designer Engineer
[NAME] | Henderson | AECOM | Senior Transportation Engineer
[NAME] ([NAME]) | [NAME] | AECOM | Transportation Engineer
Doug | [NAME] | AECOM | Transportation Engineer
[NAME] | Mendoza | AECOM | Junior Transportation Engineer
Rene | [NAME] | AECOM | Transportation Engineer
[NAME] ([NAME]) | Sargeant | AECOM | Transportation Engineer
[NAME] | [NAME] | AECOM | Transportation Engineer
Roberta | Clifford | AMEC | Senior Transportation Engineer
Moh | [NAME] | Director of Highway Operations
 |  |  |  | Planning
Spreadsheet: richard_ring__31561__ResidentialAugust2001
Sheet: RECAP

 |  |  | RESIDENTIAL |  |  |  | RESIDENTIAL
YEAR 2000 NUMBERS
UPDATED AS OF: |  |  |  | UPDATED AS OF:
Prepared By: |  | A  J  Braden | 713.632. 8553 | Prepared By: |  | Annette Tafallo | [PHONE]
Month | Product | Customers | Consumption | Month 2001 | Product | Customers | Consumption
JAN | C100 | 799 | 482438 | 2001-01-01 00:00:00 | C100 | 1536 | 661953
 | C20 | 660 | 426975 |  | C20 | 1241 | 381122
 | C50 | 321 | 216738 |  | C50 | 572 | 191993
FEB | C100 | 937 | 555605 | 2001-02-01 00:00:00 | C100 | 726 | 411328
 | C20 | 760 | 480922 |  | C20 | 560 | 335585
 | C50 | 362 | 222838 |  | C50 | 1533 | 144354
MAR | C100 | 1109 | 638688 | 2001-03-01 00:00:00 | C100 | 756 | 398856
 | C20 | 876 | 523690 |  | C20 | 858 | 323478
 | C50 | 414 | 248184 |  | C50 | 293 | 161243
APRIL | C100 |  |  | 2001-04-01 00:00:00 | C100 | 648 | 279118
 | C20 |  |  |  | C20 | 475 | 221957
 | C50 |  |  |  | C50 | 243 | 116704
MAY | C100 | 712 | 330212 | 2001-05-01 00:00:00 | C100 | 658 | 294942
 | C20 | 507 | 252992 |  | C20 | 524 | 246150
 | C50 | 282 | 110278 |  | C50 | 259 | 120953
[NAME] | C100 | 1079 | 568272 | 2001-06-01 00:00:00 | C100 | 675 | 297057
 | C20 | 810 | 488855 |  | C20 | 510 | 246976
 | C50 | 402 | 224363 |  | C50 | 255 | 124524
JULY | C100 | 175 | 93240 | 2001-07-01 00:00:00 | C100 | 788 | 354321
 | C20 | 303 | 187703 |  | C20 | 617 | 326110
 | C50 | 89 | 52616 |  | C50 | 315 | 140210
AUG | C100 | 1384 | 702479
 | C20 | 862 | 474979
 | C50 | 493 | 271797 | 2001-08-01 00:00:00 | C100 | 0 | 0
 |  |  |  |  | C20 | 2 | -2578
SEPT | C100 | 1101 | 576394 |  | C50 | 1 | 252
 | C20 | 849 | 499203
 | C50 | 408 | 229418 | 2001-09-01 00:00:00 | C100
 |  |  |  |  | C20
OCT | C100 | 845 | 414176 |  | C50
 | C20 | 657 | 355453
 | C50 | 324 | 174311 | 2001-10-01 00:00:00 | C100
 |  |  |  |  | C20
NOV | C100 | 763 | 398304 |  | C50
 | C20 | 584 | 328769
 | C50 | 283 | 149931
DEC | C100 | 767 | 467391
 | C20 | 583 | 371188
 | C50 | 291 | 181332