tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 2b834ec3-05e1-4e5d-9289-cb5e490825fd
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | SWIM | T1 | BIKE | T2 | RUN | POSITION | TOTAL TIME
259417 | 40952 | [NAME] | Egan | GBR | 76 | 00:15:27 | 00:00:58 | 00:52:48 | 00:01:09 | 00:20:34 | 1 | 1:30:53
Spreadsheet: 39663d1237936886-excel-data-validation-question-diminishingdropdownlist-nonarray
Sheet: Sheet1

Eligible Names |  |  | Remaining Names
[NAME] | 1 | 1 | [NAME] | this yellow is a named |  |  | [NAME]
[NAME] |  | 2 | [NAME] | range called "List1" |  |  | [NAME] |  | Add and delete names from
[NAME] | 2 | 3 | [NAME] | and is used in the |  |  |  |  | these cells and the "remaining names"
[NAME] | 3 | 4 | Jeremiah | cells to the right |  |  |  |  | list reasserts/removes names.
Jeremiah | 4 | 5 | Jasmine |  |  |  | [NAME]
Jasmine | 5 | 6 | [NAME] |  |  |  |  |  | Da
[NAME] | 6 | 7 | Julias
[NAME] |  | 8 | [NAME]
Julias | 7 | 9 | Jezebel
[NAME] | 8 | 10
Jezebel | 9 | 11
Spreadsheet: daren_farmer__5054__HPLN0428
Sheet: Sheet1

HPLN0428.XLS |  | Fax # [PHONE]
TO:  DARREN FARMER / ENRON;  CARY METZ / ENRON;  [NAME] / HPL;  LIZ BELLAMY / ENRON
FROM:  MELISSA JONES - TXU ELECTRIC & GAS  (TU ELECTRIC)
SUBJECT:  TXU FUELS NOMINATION - April 28, 2001
 |  |  |  |  |  | **Sat/Sun | **Monday
HPL AND ENRON NOMINATIONS: |  |  |  |  |  | 4/28-29/2001 | 2001-04-30 00:00:00
 |  |  |  |  |  | Eff. 0900 hrs. | Eff. 0900 hrs.
 |  |  |  |  | PRIOR | NOMINATED | NOMINATED
CONTRACT |  | DELIVERY POINT |  | Upstream
 |  | Firm Summary
 |  | Enron North America Spot/3959
OTHER ENRON/HPL TRANSPORTS: |  |  |  | Downstream
 |  | Total Other Transports:
NOTE:  Additional swing volumes may be requested at Teco Tap, or Texoma by TUFCO Gas Control under either the
Wagner Brown K# 1901 or HPL K# 3949 agreements.
*  Nominations to continue until TU Electric changes such nominations.
CC:   [NAME] | [NAME]
R. Skerik | [NAME]
G. Green | K. English
B. Fleming | GCC Dispatcher
Spreadsheet: 485419d1476877808-i-need-to-find-a-formula-that-calculates-how-much-time-falls-into-a-certain-criteria-sampel-work-cal-_-as-_-different-options-available
Sheet: Ark1

 |  | Rates of pay per H
 |  | Base Pay | 00-24 | 13.74
 |  | Mon-fri | 18-24 | 0.75
 |  | Sat | 14-24 | 2.05
 |  | Nights | 24-06 | 1.5
 |  | Sunday | 00-24 | 2.35
 | Hours of work
 | Day | Start time | end time | HH:MM | hours |  |  |  |  |  | Sum
 | sat | 2016-10-15 20:30:00 | 2016-10-16 07:15:00
 | [NAME] | 2016-10-16 22:30:00 | 2016-10-17 07:15:00
 | Mon | 2016-10-17 22:30:00 | 2016-10-18 07:15:00
 | tue | 2016-10-18 22:30:00 | 2016-10-19 06:15:00
 | thu | 2016-10-20 07:30:00 | 2016-10-20 18:15:00
 | Hours of work
 | Day | Start time | end time | HH:MM | hours |  |  |  |  |  | Sum
 | sat | 2016-10-15 20:30:00 | 2016-10-16 07:15:00
 | [NAME] | 2016-10-16 22:30:00 | 2016-10-17 07:15:00
 | Mon | 2016-10-17 22:30:00 | 2016-10-18 07:15:00
 | tue | 2016-10-18 22:30:00 | 2016-10-19 06:15:00
 | thu | 2016-10-20 07:30:00 | 2016-10-20 18:15:00
Spreadsheet: darrell_schoolcraft__7783__imbalsumm0107
Sheet: Calpine

 | Calpine So. Point Power Del
 | 78113
Day | Measured | Scheduled
1 | -41811 | -40000
2 | -75942 | -40000
3 | -74100 | -50000
4 | -68369 | -65300
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
2001-06-30 00:00:00 |  |  | -373656
2001-07-04 00:00:00
Spreadsheet: 77630d1278067261-how-to-extract-specific-cell-entries-as-csv-sample1
Sheet: Sheet1

Summary | Total
Participants | 0
Materials | 0
Meals & Accomodations | 0
Total | 0
Attendance | Rate | Day | Total
[NAME] |  |  | 0
[NAME] |  |  | 0
Marge |  |  | 0
Michelle |  |  | 0
[NAME] |  |  | 0
Total |  |  | 0
Materials | Unit Rate | Quantity | Total
Handouts |  |  | 0
Information Package
Total |  |  | 0
Meals & Accomodations | Unit Rate | Quantity | Total
Snacks |  |  | 0
Lunch |  |  | 0
Hotel |  |  | 0
Conference Room |  |  | 0
Total |  |  | 0
Spreadsheet: 702821d1604563429-tracing-continuity-in-data-chart-info
Sheet: Sheet1

 |  |  |  |  |  |  |  |  | Period
 |  |  |  |  |  |  |  |  | 1 | L1 | L2
 |  |  |  |  |  |  |  |  | 2 | L1 | L3
 |  | Loads | Load (Amperes) | Start time (min) | End time (min) |  |  |  | 3 | L1 | L3 | [NAME] | L5
 |  | L1 | 40 | 0 | 180 |  |  |  | 4 | L1 | L3 | [NAME]
 |  | L2 | 280 | 0 | 1 |  |  |  | 5 | L1
 |  | L3 | 60 | 1 | 120 |  |  |  | 6 | L1 | L6
 |  | [NAME] | 100 | 30 | 120
 |  | L5 | 80 | 30 | 60
 |  | L6 | 80 | 179 | 180
 |  |  | Period | Total amperes per period (Amperes)
 |  |  | 1
 |  |  | 2
 |  |  | 3
 |  |  | 4
 |  |  | 5
 |  |  | 6
Spreadsheet: 25425d1216734380-using-a-list-to-generate-different-data-for-each-choice-book3
Sheet: Sheet1

PER DIEM
 |  | SERVICE TECHNICIAN: | [NAME]
 |  | ORDER NUMBER: |  |  |  |  |  |  |  | Total Charge:
 |  | CUSTOMER: |  |  |  |  |  |  |  | Credit Amount:
 |  |  |  |  |  |  |  |  |  | Net Charge:
 | SELLING PRICE |  |  |  | CREDIT APPLIED |  |  |  | TOTAL DUE
Type | Hours | Rate | Total |  | Hours | Rate | Total |  | Hours | Rate | Total
Labor Hours-Reg M-F 1st 8,6am-6pm | 0 |  |  |  | 0
Labor Hours-OT M-F After 1st 8,6pm-6am | 0 |  |  |  | 0
Labor Hours-Sat All Hours | 0 |  |  |  | 0
Labor Hours-Sun All Hours | 0 |  |  |  | 0
Labor Hours-Hol All Hours | 0 |  |  |  | 0
Labor Hours-Layover Day M-F | 0 |  |  |  | 0
Labor Hours-Layover Day Sat | 0 |  |  |  | 0
Labor Hours-Layover Day Sun | 0 |  |  |  | 0
Labor Hours-Layover Day Hol | 0 |  |  |  | 0
Total Hours
 |  |  |  |  | Enter all credits as negative numbers.
Travel Expenses |  | Rate | Total |  |  | Rate | Total |  |  | Rate | Total
Mileage | 0 | 0.63 |  |  | 0
Airfare | 0 |  |  |  | 0
Auto Rental | 0 |  |  |  | 0
Taxi/Bus | 0 |  |  |  | 0
Parking | 0 |  |  |  | 0
Gas/Oil | 0 |  |  |  | 0
Other | 0 |  |  |  | 0
10% Administrative Surcharge
Total Travel Expenses
Living Expenses |  |  | Total |  |  |  | Total |  |  |  | Total
Hotel | 0 |  |  |  | 0
Laundry | 0 |  |  |  | 0
PER DIEM MEALS | 0 | Days @ $50 |  |  | 0
Other | 0 |  |  |  | 0
Other | 0 |  |  |  | 0
Other | 0 |  |  |  | 0
10% Administrative Surcharge
Total Living Expenses
Total Invoice
Service Invoice - Costing
 |  | ORDER NUMBER:
 |  | CUSTOMER:
 | TOTAL COST |  |  |  | COST OF CREDIT APPLIED |  |  |  | COST OF CHARGES
Type | Hours | Rate | Total |  | Hours | Rate | Total |  | Hours | Rate | Total
Labor Hours-Reg M-F 1st 8,6am-6pm |  | 93.68
Labor Hours-OT M-F After 1st 8,6pm-6am |  | 93.68
Labor Hours-Sat All Hours |  | 93.68
Labor Hours-Sun All Hours |  | 93.68
Labor Hours-Hol All Hours |  | 93.68
Labor Hours Worked on Layover Day M-F | 0 | 93.68 |  |  | 0
Labor Hours Worked on Layover Day Sat | 0 | 93.68 |  |  | 0
Labor Hours Worked on Layover Day Sun | 0 | 93.68 |  |  | 0
Labor Hours Worked on Layover Day Hol | 0 | 93.68 |  |  | 0
Total Hours | Enter actual
 | hours worked on layover days.
Travel Expenses |  | Rate | Total |  |  | Rate | Total |  |  | Rate | Total
Mileage |  | 0.505
Airfare
Auto Rental
Taxi/Bus
Parking
Gas/Oil
Other
Total Travel Expenses
Living Expenses |  |  | Total |  |  |  | Total |  |  |  | Total
Hotel
Laundry
PER DIEM MEALS |  | Days @ $46
Other
Other
Other
Total Living Expenses
Total Labor Cost
Total Overhead Cost
Total of Travel & Living Expenses
Total Cost |  |  |  |  | This is cost of theNO CHARGE |  |  |  | This is cost of the CHARGE
 |  |  |  |  | portion of the service invoice. |  |  |  | portion of the service invoice.
Cost of the 10% Administrative Surcharge is in overhead. |  |  |  |  |  |  |  |  |  | MARGIN $
 |  |  |  |  |  |  |  |  |  | MARGIN %
Spreadsheet: 215150d1361284150-help-with-linked-data-which-fails-to-display-correctly-sc_sample_v1
Sheet: RAGs_Summary

SUMMARY OF ACTIVITIES - 2013 - Manually keyed data |  |  |  | Complete monthly RAGs as required   →
 |  |  |  | RED |  | AMBER |  | GREEN |  | RED |  | AMBER |  | GREEN |  | RED |  | AMBER |  | GREEN |  | RED |  | AMBER |  | GREEN
TASK REFERENCE | Activities | Frequency | Activities GROUP_CODES | January |  |  |  |  |  | February |  |  |  |  |  | March |  |  |  |  |  | April
 | TASK_1 | Monthly | 2.1.1.1.1 | n |  | n | 2 | n | 5 | n |  | n | 2 | n | 5 | n |  | n |  | n |  | n |  | n |  | n
 | TASK_2 | Monthly | 2.1.1.2.1 | n | 5 | n | 0 | n | 2 | n |  | n |  | n | 7 | n |  | n |  | n |  | n |  | n |  | n
 | TASK_3 | Monthly | 2.1.5.1.1 | n |  | n | 3 | n | 4 | n |  | n | 3 | n | 4 | n |  | n |  | n |  | n |  | n |  | n
 | TASK_4 | Monthly | 2.1.3.1.1 | n |  | n | 1 | n | 6 | n |  | n | 1 | n | 6 | n |  | n |  | n |  | n |  | n |  | n
 | TASK_5 | Monthly | 2.1.2.1.1 | n |  | n | 0 | n | 7 | n |  | n |  | n | 7 | n |  | n |  | n |  | n |  | n |  | n
 | TASK_6 | Monthly | 2.1.4.1.1 | n |  | n |  | n | 6 | n |  | n |  | n | 6 | n |  | n |  | n |  | n |  | n |  | n
 | TASK_7 | Monthly | 2.1.2.2.1 | n | 1 | n | 1 | n | 5 | n | 1 | n | 1 | n | 5 | n |  | n |  | n |  | n |  | n |  | n
 | TASK_8 | Monthly | 2.1.6.1.1 | n |  | n |  | n | 3 | n |  | n |  | n | 3 | n |  | n |  | n |  | n |  | n |  | n
 | TASK_3 | Monthly | 2.1.5.1.1 | n | 4 | n | 0 | n | 3 | n |  | n |  | n |  | n |  | n |  | n |  | n |  | n |  | n
 | TASK_3 | Monthly | 2.1.5.1.1 | n | 1 | n | 1 | n | 2 | n |  | n |  | n |  | n |  | n |  | n |  | n |  | n |  | n
 | TASK_3 | Monthly | 2.1.5.1.1 | n | 6 | n | 0 | n | 1 | n |  | n |  | n |  | n |  | n |  | n |  | n |  | n |  | n
 | TASK_3 | Monthly | 2.1.5.1.1 | n | 1 | n | 3 | n | 4 | n |  | n |  | n |  | n |  | n |  | n |  | n |  | n |  | n
 | TASK_2 | Monthly | 2.1.1.2.1 | n | 0 | n | 1 | n | 6 | n |  | n |  | n |  | n |  | n |  | n |  | n |  | n |  | n
 | TASK_2 | Monthly | 2.1.1.2.1 | n | 0 | n | 6 | n | 1 | n |  | n |  | n |  | n |  | n |  | n |  | n |  | n |  | n
 | TASK_2 | Monthly | 2.1.1.2.1 | n | 7 | n | 7 | n | 1 | n |  | n |  | n |  | n |  | n |  | n |  | n |  | n |  | n
 | TASK_2 | Monthly | 2.1.1.2.1 | n | 2 | n | 0 | n | 5 | n |  | n |  | n |  | n |  | n |  | n |  | n |  | n |  | n
 | TASK_2 | Monthly | 2.1.1.2.1 | n | 9 | n | 0 | n | 5 | n |  | n |  | n |  | n |  | n |  | n |  | n |  | n |  | n
Spreadsheet: 869975d1716492239-how-i-can-generate-a-table-with-mean-time-to-resolve-hours-minutes-seconds-in-totals-esaji-count-custom-hours
Sheet: Solution

Row Labels | Min of TTD | MTTD | [NAME] |  |  |  | Row Labels | Min TTR | MTTR | [NAME]
P1 | 0:00:51 | 0:00:51 | 0:00:51 |  |  |  | P1 | 10 days, 2:33:27 | 10 days, 2:33:27 | 10 days, 2:33:27
P2 | 0:00:27 | 0:00:27 | 0:00:27 |  |  |  | P2 | 10 days, 10:19:24 | 10 days, 10:19:24 | 10 days, 10:19:24
P3 | 0:00:06 | 0:00:54.342000 | 0:09:48 |  |  |  | P3 | 0:03:21 | 11 days, 10:45:40.009000 | 27 days, 13:43:19
(blank) |  |  |  |  |  |  | Grand Total | 0.002326388888888889 | 11.42803440293742 | 27.57174768518518
Grand Total | 6.944444444444444e-05 | 0.000625897988505747 | 0.006805555555555555
Spreadsheet: 219988d1363027824-table-values-dados
Sheet: Sheet2

Country Name | 1995 | 1996 | 1997 | 1998 | 1999 | 2000
Germany | 0.08888889021343639 | 0.08215297898144981 | 0.08357348794253373 | 0.08139534384060598 | 0.08284023714551389 | 0.07761193745171845
Austria | 0.2312500029802322 | 0.2322580583633915 | 0.2225913529685473 | 0.2152317826420921 | 0.2006578941176803 | 0.1914191530289138
Belgium | 0.09540636468102458 | 0.09782608733210237 | 0.09454545107754793 | 0.08088235242556538 | 0.09302326226118406 | 0.07364341210634134
Denmark | 0.1629629664950901 | 0.146067415128346 | 0.1401515189828514 | 0.1353383403385372 | 0.1264367779342713 | 0.1309523750955377
Spain | 0.2980132375044352 | 0.2847457497806873 | 0.2675585318416549 | 0.2524590101398406 | 0.2345276752552026 | 0.217532466728222
Finland | 0.298507471184445 | 0.276119414404098 | 0.2546125460605334 | 0.2344322444771077 | 0.226277368451938 | 0.2205882291067844
France | 0.1821561399574158 | 0.1811320826692401 | 0.1735849020616063 | 0.1673003887075095 | 0.1596958148708507 | 0.1558935370178668
Greece | 0.8793102994685238 | 0.8864628635466941 | 0.8799999660915798 | 0.7715516823225455 | 0.7565217225447944 | 0.7699114745501042
Ireland | 0.3105802258847656 | 0.3003533649876831 | 0.2736842172187671 | 0.2413793103448276 | 0.2536231849003781 | 0.2346570332480466
Italy | 0.1958456900657022 | 0.1831831845162236 | 0.1809816064884493 | 0.1773700322756045 | 0.1666666617609348 | 0.1635220105038531
Luxembourg | 0.1513944181101154 | 0.1184210586856059 | 0.1034482765708043 | 0.1355140255636416 | 0.08755759950953894 | 0.1159420293193567
Netherlands | 0.1637168135057835 | 0.1605504643344167 | 0.1627906976744186 | 0.1520737251748037 | 0.1415094288696639 | 0.1485148458758497
Portugal | 0.357142848680796 | 0.3897763612345335 | 0.4290322642172536 | 0.3931624156881225 | 0.3673469580680237 | 0.3633720769051806
United Kingdom | 0.07326007530743597 | 0.06959707066873601 | 0.06741572662480025 | 0.06415094519561192 | 0.0625 | 0.05976095526705198
Sweden | 0.1196911177718574 | 0.1111111131410692 | 0.1076923058583186 | 0.1011673084610131 | 0.0996015921117533 | 0.09795918756601762
Spreadsheet: 174a123a-b730-4784-8753-600da4111155
Sheet: Suzi Wizowaty

Suzi Wizowaty
Fair Share Fee: Those Who Don't Pay Their Fair Share
Agree
Explain your fair share position, if you choose.
No response
Teachers' Retirement: Support in the State Budget
Agree
Explain your teachers' retirement position, if you choose.
No response
Health Care: Continuing System Reform
I'd like to explain my position
Explain your health care reform position, if you choose
I do not know what the transition to the new health care system will look like. I would certainly hope that teachers would be able to continue with the same coverage
they have now. But I want to see all Vermonters have decent coverage, and if we all have to pay a little more so that everyone can get coverage, I will support that.
At the same time, I will do everything I can to protect teachers and other state employees--for that matter, all Vermonters--from bearing undue burden.
Teaching Career: Retaining New Teachers
Agree
Explain your teaching career position, if you choose
No response
Teaching Profession: Simplifying Professional Relicensing
Agree
Explain your relicensing position, if you choose
No response
Name | email address | Address | Office sought | Are you an incumbent? |  | County
Suzi Wizowaty | [EMAIL] | 177 Locust Terrace | Representative | Yes |  | Chittenden
Spreadsheet: 191476d1352132469-combo-box-excel-2007-___sata
Sheet: Sheet2

 | Month
 |  |  | 4
 | Fare Class |  | Origin | Destination
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2 | 1
 |  | Fare  : |  |  |  |  |  |  |  |  |  |  |  |  | 1
 |  |  |  | 7 | 1 | 7
 |  |  |  | X | YYZ | YEG
 |  |  |  | P | YUL | YHZ
 |  |  |  | M |  | YOW
 |  |  |  | L |  | YQM
 |  |  |  | Q |  | YQT
 |  |  |  | B |  | YUL
 |  |  |  | V |  | YVR
 |  |  |  | Y |  | YWG
 |  |  |  |  |  | YYG
 |  |  |  |  |  | YYC
 |  |  |  |  |  | YYJ
 |  |  |  |  |  | YXX
 |  |  |  |  |  | YYT
 |  |  |  |  |  | YXE
 |  |  |  |  |  | YQR
 |  |  |  |  |  | YLW
 |  |  |  |  |  | YKA
 |  |  |  |  |  | YQB
 |  |  |  |  |  | YYX
 |  |  |  |  |  | FLL
 |  |  |  |  |  | LAS
 |  |  |  |  |  | MIA
 |  |  |  |  |  | BDA
Spreadsheet: 845300d1696846058-populating-client-wise-sub-table-from-master-sales-table-daily-sales
Sheet: Database

 | Total Qty | Total Amount |  |  |  | Total Qty | Total Amount |  |  |  | Total Qty | Total Amount |  |  |  | Total Qty | Total Amount |  |  |  | Total Qty | Total Amount
[NAME] |  |  |  |  | [NAME] |  |  |  |  | [NAME] |  |  |  |  | Vipul Prajapati - Amdavad |  |  |  |  | New Customer - City
Date | Item | Qty | Total |  | Date | Item | Qty | Total |  | Date | Item | Qty | Total |  | Date | Item | Qty | Total |  | Date | Item | Qty | Total
2023-09-09 00:00:00 | [NAME] | 500 | 5000 |  | 2023-09-09 00:00:00 | 5 KG Bags | 40 | 1000
2023-09-09 00:00:00 | [NAME] | 300 | 4500 |  | 2023-09-09 00:00:00 | [NAME] | 25 | 1250
2023-09-09 00:00:00 | [NAME] | 100 | 2000 |  | 2023-09-09 00:00:00 | 01 KG Bags | 15 | 150
Spreadsheet: 58932d1259214214-pivot-table-source-accross-worksheets-book1
Sheet: Week 1

Week | Filter | Project | Unapproved Days | Name
Week 1 | True | [NAME] | 5 | Mark
Week 1 | True | EM | 5 | [NAME]
Week 1 | True | EA | 5 | [NAME]
Week 1 | True | Rel 3 | 5 | [NAME]
Week 1 | False | Rel 3 | 1 | Ursula
Week 1 | True | Rel 3 | 5 | [NAME]
Week 1 | True | [NAME] | 4 | Greg
Week 1 | True | [NAME] | 2 | [NAME]
Week 1 | True | [NAME] | 2 | [NAME]
Week 1 | True | Rel 3 | 2 | [NAME]
Week 1 | True | Rel 3 | 1 | George
Week 1 | True | [NAME] | 1 | [NAME]
Week 1 | True | [NAME] | 5 | [NAME]
Spreadsheet: 237686d1369289770-dynamic-row-column-change-on-list-box-combo-excel-query
Sheet: Sheet1

 |  |  | All | [NAME] or Combo
 |  |  | A1
 |  |  | A2
 |  |  | A3
 |  | For selection of ALL
 |  | All | B1 | B2
 |  | Data1 | Data 10 | Data 20
 |  | Data2 | Data 11 | Data 21
 |  | Data3 | Data 12 | Data 22
 |  | For selection of A1
 |  | A1 | B1 | B2
 |  | Data1 | Data 10 | Data 20
 |  | Data2 | Data 11 | Data 21
 |  | Data3 | Data 12 | Data 22
 |  | row for [NAME] only | Data 13 | Data 23
 |  | For selection of A2
 |  | A2 | B1 | B2
 |  | Data1 | Data 10 | Data 20
 |  | Data2 | Data 11 | Data 21
 |  | Data3 | Data 12 | Data 22
 |  | row for A2 only | Data 14 | Data 24
Spreadsheet: chris_germany__1969__MARGAS
Sheet: mar02

sitara
purchase | 1200911
sale | 1200914
 |  | Purchased | Sold | price | Total | paid |  | Purchased | Sold | price | conterparty | Total
2002-03-01 00:00:00 | x | 25000 |  | 2.55 |  | 111600 |  | 20000 |  | 2.523 | apache
2002-03-02 00:00:00 | x | 15000 |  | 2.48 |  | x |  | 20000 |  | 2.523 | apache
2002-03-03 00:00:00 | x | 15000 |  | 2.48 |  | x |  | 20000 |  | 2.523 | apache
2002-03-04 00:00:00 | x | 15000 |  | 2.48 |  | x |  | 20000 |  | 2.523 | apache |  |  | 2.005
2002-03-05 00:00:00 | x | 15000 |  | 2.56 |  | 187500 |  | 20000 |  | 2.523 | apache |  |  | 1.94
2002-03-06 00:00:00 |  |  |  |  |  |  |  | 20000 |  | 2.523 | apache |  |  | 1.755
2002-03-07 00:00:00 |  |  | -20000 | 2.31 |  | 128450 |  | 20000 |  | 2.523 | apache |  |  | 1.745
2002-03-08 00:00:00 |  | 20000 |  | 2.6 |  |  |  | 20000 |  | 2.523 | apache |  |  | 2.045
2002-03-09 00:00:00 |  | 20000 |  | 2.715 |  |  |  | 20000 |  | 2.523 | apache |  |  | 2.045
2002-03-10 00:00:00 |  | 20000 |  | 2.715 |  |  |  | 20000 |  | 2.523 | apache |  |  | 2.045
2002-03-11 00:00:00 |  | 20000 |  | 2.715 |  | 388000 |  | 20000 |  | 2.523 | apache |  |  | 2.255
2002-03-12 00:00:00 |  | 20000 |  | 2.82 |  |  |  | 20000 |  | 2.523 | apache |  |  | 2.46
2002-03-13 00:00:00 |  | 15000 |  | 2.81 |  |  |  | 20000 |  | 2.523 | apache |  |  | 2.38
2002-03-14 00:00:00 |  | 4000 |  | 2.83 |  |  |  | 20000 |  | 2.523 | apache |  |  | 2.32
2002-03-15 00:00:00 |  | 4000 |  | 2.665 |  |  |  | 20000 |  | 2.523 | apache |  |  | 2.305
2002-03-16 00:00:00 |  | 2000 |  | 2.94 |  |  |  | 20000 |  | 2.523 | apache |  |  | 2.305
2002-03-17 00:00:00 |  | 2000 |  | 2.94 |  |  |  | 20000 |  | 2.523 | apache |  |  | 2.305
2002-03-18 00:00:00 |  | 2000 |  | 2.94 |  |  |  | 20000 |  | 2.523 | apache |  |  | 2.475
2002-03-19 00:00:00 |  | 2000 |  | 3.11 |  |  |  | 20000 |  | 2.523 | apache |  |  | 2.505
2002-03-20 00:00:00 |  | 2000 |  | 3.26 |  |  |  | 20000 |  | 2.523 | apache |  |  | 2.505
2002-03-21 00:00:00 |  | 2000 |  | 3.28 |  |  |  | 20000 |  | 2.523 | apache |  |  | 2.475
2002-03-22 00:00:00 |  | 2000 |  | 3.15 |  |  |  | 20000 |  | 2.523 | apache |  |  | 2.505
2002-03-23 00:00:00 |  | 11000 |  | 3.48 |  |  |  | 20000 |  | 2.523 | apache |  |  | 2.505
2002-03-24 00:00:00 |  | 11000 |  | 3.48 |  |  |  | 20000 |  | 2.523 | apache |  |  | 2.505
2002-03-25 00:00:00 |  | 11000 |  | 3.48 |  |  |  | 20000 |  | 2.523 | apache |  |  | 2.505
2002-03-23 00:00:00
2002-03-24 00:00:00
2002-03-25 00:00:00 |  |  | -31000 | 3.2
2002-03-26 00:00:00 |  |  | -20000 | 3.32 |  |  |  |  |  |  |  |  |  | 2.505
2002-03-27 00:00:00 |  |  | -20000 | 3.41 |  |  |  |  |  |  |  |  |  | 2.93
2002-03-28 00:00:00 |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.505
2002-03-29 00:00:00 |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.54
2002-03-30 00:00:00 |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.54
2002-03-31 00:00:00 |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.54
 |  |  |  |  |  | 3.2 | 300000
 |  |  |  |  | 1000000
 |  |  |  |  | 3.25
 |  |  |  |  | -250000
 |  |  |  |  | -270000
Spreadsheet: 843220d1695135004-looking-for-a-formula-to-exclude-rows-from-a-filtered-table-workqueue-template-colbyjackqueso-
Sheet: RA Research

[PLAN NAME] Enrollment |  |  |  |  |  | TRC | 016 | 085 | 138 | 154 | 155 | 305
ID | Beneficiary ID | Last Name | First Name | DOB | Contract Num | State Code | County Code | TRC | TRC Short Name | File Name
26 | RAND0M1D-085/154/306 | JONES | MIKE | 19630226 | CONTRACT | SC | 0CC | 154 | OUT OF AREA | EFTO.RH6328.DTRRD.D230901
57 | TH1515ANMB1-305 | DUCK | [NAME] | 19510915 | CONTRACT | SC | 0CC | 305 | ZIP CD CHANGE | EFTO.RH2171.DTRRD.D230902
88 | B3N3F1C1@RY-085/154/306 | [NAME] | MICKEY | 19500205 | CONTRACT | SC | 0CC | 154 | OUT OF AREA | EFTO.RH6328.DTRRD.D230907
107 | RUNN1NG0UT-305 | [NAME] | MINNIE | 19560804 | CONTRACT | SC | 0CC | 305 | ZIP CD CHANGE | EFTO.RH2171.DTRRD.D230907
161 | 2M0R3EXMPL5-085/305 | JACOB | [NAME] | 19701008 | CONTRACT | SC | 0CC | 85 | NEW SCC | EFTO.RH2171.DTRRD.D230912
164 | [NAME] | WOMAN | WONDER | 19551108 | CONTRACT | SC | 0CC | 85 | NEW SCC | EFTO.RH2171.DTRRD.D230912
Spreadsheet: 694644d1599734331-multiply-a-vlookup-by-exchange-rate-with-different-rates-excel-forums-example
Sheet: Currency Conversion

Conversion Rate | USD
AUD | 0.69
CAD | 0.71
EUR | 1.09
NZD | 0.6
GBX | 1.23
POU | 1.23
YEN | 0.0093
BRL | 0.17
SGD | 0.7
CHF | 1.03
AND | 0.06
Spreadsheet: 726932d1617613283-match-codes-from-file-master-code-list-with-added-weeks
Sheet: Wk11 After Sweep saving

 | 050001 T03912 | SWEEP
 | 585270 10SPM | SWEEP
 | 554761 SPM | SWEEP
 | 050001 T02505 | WASH
 | 555933 SPM | WASH
 | 871022 SPM | WASH
 | 513063 3CB | WASH
 | 513158 CB | WASH
 | 513155 CB | WASH
 | 555656 CB | SWEEP
 | 589798 8CB | WASH
 | 513153 CB | WASH
 | 513111 CBK | SWEEP
 | 513111 CB | WASH
 | 050001 34616996 | WASH
 | 534199 65SPM | SWEEP
 | 522631 SPMK | SWEEP
 | 534199 2SPM | SWEEP
 | 534199 SPM | WASH
 | 050001 T12533 | WASH
 | 510404 SPM | WASH
 | 508053 SPM | WASH
 | 589411 CB | WASH
 | 522870 CB | WASH
 | 548168 CB | WASH
 | 589372 CBT | WASH
 | 588261 CB | WASH
 | 579375 CB | WASH
 | 513310 CB | WASH
 | 555567 CB | WASH
 | 554818 CB | WASH
 | 589559 CB | WASH
 | 585309 1SPM | SWEEP
 | 585309 10SPM | WASH
 | 513287 1CB | WASH
 | 521556 CB | WASH
 | 554251 2CB | SWEEP
 | 589399 CB | SWEEP
 | 589122 SPM | WASH
 | 513609 CB | WASH
Spreadsheet: 44863d1243600077-condittional-formatting-range-of-days-worksheet
Sheet: PO2POD

LOG | Status | LOG | LOG | LOG | LOG | LOG | LOG | LOG | LOG | LOG | LOG | CM | LOG | LOG | CM | PLANNER | PLANNER | CM | LOG | LOG | LOG | CM | CM | LOG | LOG | LOG
 | OPEN |  |  | [PHONE] | HPCHILE/TECHDATA | CHILE |  | HPMCC376A#697 | Comm | 12 | Trade | b | 2009-05-14 00:00:00 | 2009-05-04 00:00:00 | 2009-05-11 00:00:00 |  |  |  | 2009-05-15 00:00:00 |  | 2009-05-18 00:00:00 |  | 2009-05-20 00:00:00 | 2009-05-29 00:00:00 | 2009-05-20 00:00:00 | 2009-05-26 00:00:00
 | CLOSED |  |  | [PHONE] | BELLCHILE | CHILE |  | HPMCE462A#697 | Comm | 36 | Athena | c | 2009-04-23 00:00:00 | 2009-04-23 00:00:00 | 2009-05-19 00:00:00 |  |  |  | 2009-05-25 00:00:00 | 2006-05-26 00:00:00 | 2009-05-26 00:00:00 | 2009-05-28 00:00:00 | 2009-05-28 00:00:00 | 2009-05-30 00:00:00 | 2009-05-28 00:00:00 | 2009-05-11 00:00:00
Spreadsheet: 525749d1498864146-split-cells-data-into-specific-columns-book1-farhangul-
Sheet: Sheet1

 |  | gr | [NAME] | Internal spaces
something 500gr 100mm
something else 500gr 100mm
something else 300gr 100mm
something else 300gr 100mm
something else 300gr 100mm