tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 456322d1460747069-to-use-a-table-upon-a-variable-jhontopley3
Sheet: Sheet1

CABINETS | MODEL | Colour | Price | QUANTITY | TOTAL
 |  | Honey
BASE | B18 |  |  | 2
WALL | W12 |  |  | 1
BASE SINK | SB33 |  |  | 2
BASE SINK | SB30 |  |  | 2
LAZY SUSAN | LAZY1 |  |  | 3
BASE SINK | SB30 |  |  | 1
WALL | W12 |  |  | 1
BASE SINK | SB30 |  |  | 1
 |  |  |  | SUBTOTAL
 |  |  |  | TAX
 |  |  |  | TOTAL
Spreadsheet: 42345d1240928473-transposing-columns-of-data-into-rows-of-data-681509_ka_analyst
Sheet: Sheet1

ORIGINAL TABLE |  |  |  | END RESULT TABLE
Reference Number | Reason Number
reference no1 | reason1 | reference no1:1 |  | reference no1 | reason1
[NAME] | reason1 | reference no2:1 |  | [NAME] | reason1 | reason2 | [NAME] | reason4 | reason5
[NAME] | reason2 | reference no2:2 |  | reference no3 | reason1 | reason2
[NAME] | [NAME] | reference no2:3 |  | reference no4
[NAME] | reason4 | reference no2:4 |  | reference no5 | reason1
[NAME] | reason5 | reference no2:5 |  | reference [NAME] | reason1 | reason2 | [NAME]
reference no3 | reason1 | reference no3:1 |  | reference no7
reference no3 | reason2 | reference no3:2 |  | reference [NAME] | reason1
reference no4 |  | reference no4: |  | reference no9 | reason1
reference no5 | reason1 | reference no5:1 |  | reference no10 | reason1
reference [NAME] | reason1 | reference no6:1 |  | reference no11 | reason1 | reason2 | [NAME]
reference [NAME] | reason2 | reference no6:2 |  | reference no12
reference [NAME] | [NAME] | reference no6:3 |  | reference no13 | reason1 | reason2 | [NAME] | reason4 | reason5 | reason6
reference no7 |  | reference no7: |  | reference no14 | reason1
reference [NAME] | reason1 | reference no8:1 |  | reference no15
reference no9 | reason1 | reference no9:1 |  | reference no16 | reason1
reference no10 | reason1 | reference [NAME] |  | reference no17 | reason1 | reason2 | [NAME] | reason4
reference no11 | reason1 | reference no11:1
reference no11 | reason2 | reference [NAME]
reference no11 | [NAME] | reference no11:3
reference no12 |  | reference no12:
reference no13 | reason1 | reference no13:1
reference no13 | reason2 | reference no13:2
reference no13 | [NAME] | reference no13:3
reference no13 | reason4 | reference no13:4
reference no13 | reason5 | reference no13:5
reference no13 | reason6 | reference [NAME]
reference no14 | reason1 | reference no14:1
reference no15 |  | reference no15:
reference no16 | reason1 | reference [NAME]
reference no17 | reason1 | reference no17:1
reference no17 | reason2 | reference no17:2
reference no17 | [NAME] | reference no17:3
reference no17 | reason4 | reference no17:4
Spreadsheet: 120531d1315356315-linear-interpolation-between-just-two-points-betweentwopoints
Sheet: Median Sales

1991-03-01 00:00:00 | -
1991-06-01 00:00:00 | 238
1991-09-01 00:00:00 | 220
1991-12-01 00:00:00 | 198
1992-03-01 00:00:00 | 230
1992-06-01 00:00:00 | 220
1992-09-01 00:00:00 | 235.3
1992-12-01 00:00:00 | 245
1993-03-01 00:00:00 | 223.5
1993-06-01 00:00:00 | 230
1993-09-01 00:00:00 | 223.5
1993-12-01 00:00:00 | 235
1994-03-01 00:00:00 | 250
1994-06-01 00:00:00 | 267.3
1994-09-01 00:00:00 | 270
1994-12-01 00:00:00 | 257.5
1995-03-01 00:00:00 | 251.5
1995-06-01 00:00:00 | 255
1995-09-01 00:00:00 | 248
1995-12-01 00:00:00 | 265
1996-03-01 00:00:00 | 272
1996-06-01 00:00:00 | 275
1996-09-01 00:00:00 | 289
1996-12-01 00:00:00 | 295
1997-03-01 00:00:00 | 310
1997-06-01 00:00:00 | 330
1997-09-01 00:00:00 | 340
1997-12-01 00:00:00 | 330
1998-03-01 00:00:00 | 320
1998-06-01 00:00:00 | 360
1998-09-01 00:00:00 | 350
1998-12-01 00:00:00 | 338
1999-03-01 00:00:00 | 340.5
1999-06-01 00:00:00 | 335
1999-09-01 00:00:00 | 343
1999-12-01 00:00:00 | 360
2000-03-01 00:00:00 | 355
2000-06-01 00:00:00 | 385
2000-09-01 00:00:00 | 362
2000-12-01 00:00:00 | 377
2001-03-01 00:00:00 | 440
2001-06-01 00:00:00 | 450
2001-09-01 00:00:00 | 465
2001-12-01 00:00:00 | 451
2002-03-01 00:00:00 | 451
2002-06-01 00:00:00 | 515.5
2002-09-01 00:00:00 | 533
2002-12-01 00:00:00 | 486
2003-03-01 00:00:00 | 520
2003-06-01 00:00:00 | 577
2003-09-01 00:00:00 | 565
2003-12-01 00:00:00 | 570
2004-03-01 00:00:00 | 597.5
2004-06-01 00:00:00 | 520
2004-09-01 00:00:00 | 540
2004-12-01 00:00:00 | 545
2005-03-01 00:00:00 | 540
2005-06-01 00:00:00 | 509
2005-09-01 00:00:00 | 510
2005-12-01 00:00:00 | 550
2006-03-01 00:00:00 | 545
2006-06-01 00:00:00 | 575
2006-09-01 00:00:00 | 533
2006-12-01 00:00:00 | 583.5
2007-03-01 00:00:00 | 600.3
2007-06-01 00:00:00 | 595
2007-09-01 00:00:00 | 565
2007-12-01 00:00:00 | 605
2008-03-01 00:00:00 | 550
2008-06-01 00:00:00 | 595
2008-09-01 00:00:00 | 564.4
2008-12-01 00:00:00 | 562.5
2009-03-01 00:00:00 | 558.5
2009-06-01 00:00:00 | 570
2009-09-01 00:00:00 | 570
2009-12-01 00:00:00 | 700
2010-03-01 00:00:00 | 758.3
2010-06-01 00:00:00 | 700
2010-09-01 00:00:00 | 680
2010-12-01 00:00:00 | 656
2011-03-01 00:00:00 | 661
Spreadsheet: 583227d1532331569-dependent-drop-down-or-vlook-ups-to-be-used-for-multiples-data-interconnected-rough-page-1
Sheet: MASTER SHEET

SR NO | ITEMS DESCRIPTION | QTY REQD | ITEMS | VENDOR / AGENCY NAME | ANY PARTICULAR COLOUR REQMNT | SPECIFICATION | VENDOR BASED AT | RATE PER SQ.FT / PER PIECE | SIZE | TOTAL SQ.FT | COST PER PIECE | GUARANTEE / WARRANTY | PERIOD FOR GUARANTEE / WARRANTY | AMOUNT | GST % | GST AMOUNT | TOTAL COST
1 | BRAND LOGO NEON FOR TERRACE |  | URINAL POTS | R K ENTP
 | URINAL POTS |  | URINAL POTS | BLUESTAR POLYMERS
 | LAPTOP
 | FAKE NOTE DETECTOR MACHINE
 | Q MANAGERS
 | UPS 05 KVA
Spreadsheet: 714852d1611402629-how-to-add-multiple-columns-based-on-criteria-in-rows-sum-columns-based-on-crieteria-on-rows-3-
Sheet: Sheet2

 |  | From Week | Wk-4
 |  | To Week | Wk-11
 |  | Destination | Korea
 |  | Sales R | [NAME]
 |  | Product | Course
 |  | Sum
 | Destination | Sales R | Product | Wk-1 | Wk-2 | Wk-3 | Wk-4 | Wk-5 | Wk-6 | Wk-7 | Wk-8 | Wk-9 | Wk-10 | Wk-11
 | US | All | Course | 151 | 138 | 135 | 198 | 104 | 103 | 178 | 198 | 152 | 106 | 100
 | Canada | Asia | Accommodation | 124 | 185 | 187 | 185 | 194 | 171 | 168 | 122 | 121 | 123 | 100
 | US | [NAME] | Course | 198 | 146 | 164 | 140 | 161 | 199 | 171 | 123 | 105 | 126 | 100
 | Canada | All | Course | 160 | 171 | 169 | 148 | 178 | 139 | 107 | 191 | 196 | 200 | 100
 | UK | Asia | Accommodation | 149 | 176 | 139 | 109 | 150 | 181 | 112 | 131 | 155 | 135 | 100
 | Korea | [NAME] | Course | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100
Spreadsheet: 209994d1359342010-tracking-athletic-records-book1
Sheet: Sheet1

Results |  |  |  | Records
Number | Event | Performance | Time | Name | Number | 80m | 100m | 200m | 300m | 400m | 1500m
1025 | 100m | [NAME] |  | [NAME] | 1025
6587 | 200m | [NAME] |  | [NAME] | 6587
2398 | 80m | 9.6 Sec |  | [NAME] | 2398
1568 | 300m | 1 Min 5.3 Sec |  | Cara | 1568
1426 | 100m | 25.3 Sec |  | Emma | 1426
7845 | 400m | 2 Min 6.8 Sec |  | Martin | 7845
3355 | 1500m | 5 Min 22.1 Sec |  | [NAME] | 3355
1025 | 100m | 11.3 Sec
6587 | 200m | 24.8 Sec
2398 | 80m | 9.63 Sec
1568 | 300m | 1 Min 15.3 Sec
1426 | 100m | 22.3 Sec
7845 | 400m | 1 Min 46.8 Sec
3355 | 1500m | 4 Min 32.1 Sec
Spreadsheet: 0206efd8-f0d8-420d-b485-bd3bf75d849c
Sheet: +60 WD qualification 

BWF World Senior Championships 2013
WD 60-Qualification
Badminton Tournament Planner - bwf.tournamentsoftware.com
WD 60 - Group A
 | Member ID | St. | Cnty | Flag |  | 1 | 2 | 3
1 | 91532  89552 |  | DEN  DEN |  | [NAME] [1]  [NAME] |  | R2 | R3
2 | 97659  84995 |  | FRA  FRA |  | [NAME] | R2 |  | R1
3 | 70164  73004 |  | ENG  ENG |  | [NAME]  Margo Jane Witty | R3 | R1
 | Standings | Pts | Pl. |  | Games |  |  | Points
1 | [NAME] [NAME] | 0 | 0 | 0 | - | 0 | 0 | - | 0
1 | [NAME] | 0 | 0 | 0 | - | 0 | 0 | - | 0
1 | [NAME] Margo Jane Witty | 0 | 0 | 0 | - | 0 | 0 | - | 0
WD 60 - Group B
 | Member ID | St. | Cnty | Flag |  | 1 | 2 | 3
1 | 52534  61054 |  | ENG  ENG |  | [NAME] [2]  [NAME] |  | R2 | R3
2 | 92602  88181 |  | NED  SWE |  | Jessy, [NAME] | R2 |  | R1
3 | 60470  81604 |  | CAN  CAN |  | [NAME]  Siew Har Hong | R3 | R1
 | Standings | Pts | Pl. |  | Games |  |  | Points
1 | [NAME][NAME] | 0 | 0 | 0 | - | 0 | 0 | - | 0
1 | Jessy, [NAME] | 0 | 0 | 0 | - | 0 | 0 | - | 0
1 | [NAME] Siew Har Hong | 0 | 0 | 0 | - | 0 | 0 | - | 0
WD 60 - Group C
 | Member ID | St. | Cnty | Flag |  | 1 | 2 | 3
1 | 87296  95726 |  | FRA  FRA |  | [NAME] |  | R2 | R3
2 | 63872  59665 |  | IND  IND |  | Sunita Dsouza  Punita Nagalia | R2 |  | R1
3 | 87036  91927 |  | JPN  JPN |  | [NAME][NAME] | R3 | R1
 | Standings | Pts | Pl. |  | Games |  |  | Points
1 | [NAME] | 0 | 0 | 0 | - | 0 | 0 | - | 0
1 | Sunita Dsouza Punita Nagalia | 0 | 0 | 0 | - | 0 | 0 | - | 0
1 | [NAME][NAME] | 0 | 0 | 0 | - | 0 | 0 | - | 0
WD 60 - Group D
 | Member ID | St. | Cnty | Flag |  | 1 | 2 | 3 | 4
1 | 56763  97899 |  | ENG  ENG |  | [NAME][NAME] |  | R2 | R3 | R1
2 | 52541  87871 |  | GER  GER |  | [NAME]  Brigitte Prax | R2 |  | R1 | R3
3 | 76319  59450 |  | JPN  JPN |  | [NAME]  [NAME] | R3 | R1 |  | R2
4 | 61928  81731 |  | FIN  FIN |  | [NAME]  Ulla Roinela | R1 | R3 | R2
 | Standings | Pts | Pl. |  | Games |  |  | Points
1 | [NAME][NAME] | 0 | 0 | 0 | - | 0 | 0 | - | 0
1 | [NAME] Brigitte Prax | 0 | 0 | 0 | - | 0 | 0 | - | 0
1 | [NAME] [NAME] | 0 | 0 | 0 | - | 0 | 0 | - | 0
1 | [NAME] Ulla Roinela | 0 | 0 | 0 | - | 0 | 0 | - | 0
Spreadsheet: 297956d1392656229-selecting-a-table-based-on-two-dropdown-lists-selecting-a-table-ndm
Sheet: Table summary

 | Size | Format
 | A34x8.5 | Gloss 4+0
 | 0-499 | 500-4.999 | 5.000-10.000 | 10.000+
Spreadsheet: 746787d1631025677-how-to-search-based-on-two-criteria-and-return-a-specific-content-of-the-cell-not-sum-if-test
Sheet: Sheet1

T179 | 1400.Hellenic Ret | HELLENIC | CY19 0050 0290 0002 9007 8650 2501
T180 | 1400.Hellenic Ret | HELLENIC | CY19 0050 0290 0002 9007 8650 2501
T181 | 1400.Hellenic Ret | HELLENIC | CY19 0050 0290 0002 9007 8650 2501 |  | [NAME] result
T182 | 1400.Hellenic Ret | HELLENIC | CY19 0050 0290 0002 9007 8650 2501
T196 | 1400.HCOB | HCOB | DE49 2105 0000 1200 0726 93 |  | I want this cell to search through columns A and B; once it meets both "T196" from cell A5 AND "1400.HCOB" from cell B5, to return the content of cell D5
T196 | 1495.MIN | HCOB | DE17210500001200072687
T197 | 1400.HCOB | HCOB | DE54 2105 0000 1200 0727 00
T197 | 1420.DD Reserve | HCOB | DE49 2105 0000 1200 0726 93
T197 | 1495.MIN | CIT | [PHONE]
T198 | 1365.CIT Bank | CIT | [PHONE]
T198 | 1495.MIN | HCOB | DE61210500001200072671
T199 | 1400.HCOB | HCOB | DE54 2105 0000 1200 0727 00
T199 | 1420.DD Reserve | HCOB | DE49 2105 0000 1200 0726 93
Spreadsheet: 819050d1677190333-looking-exact-criteria-from-other-sheet-parts
Sheet: Allocat

Part | Current Balance | Group Number
992 | 0.001 | ALLAIIPL
5639 | 0 | ALLAIIPL
5639 | 163 | [NAME]
7076 | 9052 | ALLAIIPL
52755 | 0.001 | [NAME]
52755 | 2 | ALLAIIPL
52755 | 0.001 | ALLAIXXX
56160 | 0.001 | ALLAIXXX
56160 | 375.66 | ALLAIIPL
56160 | 0.001 | [NAME]
56173 | 0.001 | [NAME]
56173 | 13 | ALLAIIPL
56798 | 0.001 | ALLAIXXX
57760 | 3975 | ALLAIIPL
58541 | 0.001 | ALLAIXXX
58541 | 0.7509999999999994 | [NAME]
58541 | 405 | ALLAIIPL
70017 | 0.001 | [NAME]
70017 | 0.0001 | ALLAIIPL
70057 | -29.999 | ALLAAGXX
70057 | 0.001 | [NAME]
72404 | -9.999 | [NAME]
72404 | 78 | ALLAIIPL
ST73 | 0.0001 | ALLAIIPL
Spreadsheet: 41775d1240302297-find-range-and-delete-duplicate-value-in-specified-column-with-vb-macro-find-and-delete
Sheet: Sheet1

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1060 | fix windows xp
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1063 | windows xp error messages
Spreadsheet: 59579d1260190082-performance-indicator-quality-scoring-example
Sheet: Score Criteria

 | Less than or Equal to | SCORE | Less than or Equal to | SCORE | Less than or Equal to | SCORE | Less than or Equal to | SCORE | Greater than or Equal to | SCORE
Efficiency % (target 100%) | 0.2 | 5 | 0.4 | 4 | 0.6 | 3 | 0.8 | 2 | 1 | 1
Audit Quality % (Target 98%) | 0.2 | 5 | 0.4 | 4 | 0.6 | 3 | 0.8 | 2 | 1 | 1
BAU Quality%  (Target 98%) | 0.2 | 5 | 0.4 | 4 | 0.6 | 3 | 0.8 | 2 | 1 | 1
Number of Service Failures |  | 1 | 1 | 2 | 2 | 3 | 3 | 4 | 4 | 5
Training Audits % Quality  (Target 98%) | 0.2 | 5 | 0.4 | 4 | 0.6 | 3 | 0.8 | 2 | 1 | 1
Benchmart Met (Failures Counted) |  | 1 | 1 | 2 | 2 | 3 | 3 | 4 | 4 | 5
Compliments Received |  | 5 | 2 | 4 | 3 | 3 | 4 | 2 | 5 | 1
Awards Received |  | 5 | 1 | 4 | 2 | 3 | 4 | 2 | 6 | 1
Instances of Lateness |  | 1 | 1 | 2 | 2 | 3 | 3 | 4 | 4 | 5
Core Standards Met |  | 1 | 1 | 2 | 2 | 3 | 3 | 4 | 4 | 5
Financial Losses | 0 | 1 | 10 | 2 | 30 | 3 | 50 | 4 | 100 | 5
Data Breaches |  | 1 | 1 | 2 | 2 | 3 | 3 | 4 | 4 | 5
Suggestions Made |  | 5 | 2 | 4 | 3 | 3 | 4 | 2 | 5 | 1
Compliance Failures |  | 1 | 1 | 2 | 2 | 3 | 3 | 4 | 4 | 5
Spreadsheet: 219110d1362670066-time-formatting-pilot
Sheet: Sheet1

 | speaker | time in 1 | time out 1 | time in 2 | time out 2 | Time in 3 | Time out 3 | Start time 4 | End time 4 | Time in 5 | time out 5 | total time
 | Gingrich | 00:23:00 | 00:56:00 | 01:29:00 | 04:00:00 | 05:20:00 | 11:44:00 | 11:56:00 | 12:52:00 | 13:05:00 | 13:10:00
 | words | Well Let's Start | Next few years | speaker Boehnor | Republicans in 2014 | Now Conservative lawmakers | Win in 2014 | Last Question | across the planet | Alright former house | Great thank you
 | [NAME] | 00:22:00 | 01:05:00 | 01:38:00 | 01:49:00 | 02:46:00 | 04:45:00 | 10:10:00 | 11:56:00
 |  | Ambassador [NAME] thank | roman catholic church | let's talk for | be an american | well cardinal omahaly | the roman catholic church | last question | sure ya
 | [NAME] | 00:05:00 | 04:22:00
 |  | Join us now | Thank you [NAME]
 | Mahisha Dellinger | 00:20:00 | 01:05:00 | 01:49:00 | 02:39:00 | 02:48:00 | 03:18:00 | 07:04:00 | 08:40:00 | 09:13:00 | 10:13:00
 |  | Mahisha Thanks so much | epic Market | What about challeneges | that now | another challenge perhaps | be difficult | ok, well I also | yes absolutely | alright well it's an | Thank you so much
 | [NAME] | 00:20:00 | 07:37:00
 |  | Mr. [NAME] is | for the opportunity
 | [NAME] | 00:18:00 | 08:05:00
 |  | dr. Price it's | Take care
Spreadsheet: 870302d1716841036-can-anyone-tell-what-mistake-i-am-doing-in-my-formulas-given-in-the-sample-file-sample-file
Sheet: Table 32

कार्यक्रम PROGRAM |  |  | कृ तष सार्तध ऋण AGRICULTURAL TERM LOAN | PROG CODE
 |  |  |  | IT 1700
तर्षर् समूह/JOB FAMILY |  |  | CREDIT
उद्देश्य/OBJECTIVE |  |  | ENABLING   TRAINEES   FOR   BETTER   IDENTIFICATION   AND APPRAISAL OF TL PROPOSALS
लतक्षि समूह/TARGET GROUP |  |  | AEOs
अर्तध/DURATION |  |  | 5 DAYS
DAY | SESSION | CONTENTS
Day 1 | I | Inauguration, Entry Test and Overview of Agri Lending in Banking
 | II | Due Diligence in respect of Project Appraisal & Important aspect of TAT/TAT Tracker, Overview on LAPS
 | III & IV | Balance  sheet  analysis,  [NAME]  analysis,  Cash  flow  and  fund  flow analysis
Day 2 | I | Working Capital Assessment; Turnover, [NAME] and Cash Budget
 | II | [NAME]Schemes  &  AIF,  AHIDF,  PM-FME,  PM  KUSUM, CBG, EBP.
 | III | Introduction  to  FPO,  National  Policy  for  the  promotion  of  FPO  / Strategies to convert SHG and JLG into FPO
 | IV | Sound Business Plan for FPO
Day 3 | I & II | Financing   Start-ups,   Understanding   Revenue   Statements   and Projections
 | III | Pre  and  post  sanction  documentation  for  different  types  of  term loans.
 | IV | Negotiation Skills and Conflict Management
Day 4 | I to IV | Filed Visit and Interaction with FPO
Day 5 | I | Customer Relationship Management & Augmenting Quality Proposals
 | II | Motivation & Effective Communication Skills
 | III | Business Ethics and Value System
 | IV | Implementation   of   OL   at   workplace,   Prevention   of   Sexual Harassment and Valediction
Spreadsheet: 560727d1518431083-highlighting-column-with-current-week-number-ycpt
Sheet: 2018 Plan

 |  |  |  |  |  | Q1 |  |  |  |  |  |  |  |  |  |  |  |  | Q2 |  |  |  |  |  |  |  |  |  |  |  |  | Q3 |  |  |  |  |  |  |  |  |  |  |  |  | Q4
 |  |  |  |  |  | January |  |  |  |  | February |  |  |  | March |  |  |  | April |  |  |  | May |  |  |  |  | June |  |  |  | July |  |  |  | August |  |  |  |  | September |  |  |  | October |  |  |  |  | November |  |  |  | December
 |  |  |  |  |  | w1 | w2 | w3 | w4 | w5 | [NAME] | w7 | w8 | w9 | w10 | w11 | w12 | w13 | w14 | w15 | w16 | w17 | w18 | w19 | w20 | w21 | w22 | w23 | w24 | w25 | w26 | w27 | w28 | w29 | w30 | w31 | w32 | w33 | w34 | w35 | w36 | w37 | w38 | w39 | w40 | w41 | w42 | w43 | w44 | w45 | w46 | w47 | w48 | w49 | w50 | w51 | w52
Spreadsheet: kimberly_watson__20555__imbalsumm0108
Sheet: NGPL

 | 52862 |  | 6828
 | Measured | Scheduled | Measured | Scheduled | Imbalance
1 | 53256 | 50455
2 | 35225 | 42864
3 | 9749 | 31925
4 | 13680 | 13148
5 | 39257 | 39446
6 | 39309 | 39455
7 | 17078 | 21455
8 | 38021 | 38122
9 | 50313 | 34788
10 | 41422 | 41455 | -663
11 | 41404 | 41455 | -302
12 | 51512 | 46739
13 | 46816 | 46871
14 | 44923 | 44937
15 | 49883 | 44937
16 | 51915 | 46937
17 | 54916 | 49937
18 | 63907 | 58936
19 | 63938 | 58937
20 | 58756 | 58727
21 | 49619 | 49630
22 | 62677 | 62726
23 | 25217 | 24938
24 | 47555 | 47771
25 | 61590 | 59450
26 | 62611 | 59665
27 | 40004 | 39938
28
29
30
31
2001-07-31 00:00:00
2001-08-27 00:00:00
CBS Dollars
Spreadsheet: stacey_white__38839__West Limits Fax
Sheet: Limits

 | NA WEST POWER VaR
 |  |  |  |  | Increase/ | Average Daily
 | Portfolio | Portfolio | Trader | VaR | (Decrease) | VaR Limits | VaR Limit | Violation
 | Name | Name | Name | ($) | in VaR | ($) | ($)
 | ALL REGIONS
 | NA WEST POWER | POWER-WEST-TOTL | [NAME] | 10547967.84106773 | -845401.1311809141 | 4900000 | 10000000 | VIOLATION
 | WEST-LT | POWER-WEST-LT | [NAME] | 8734224.714677522 | -71824.50064872578 | 3800000 | 7900000 | VIOLATION
 | WEST-LT | POWER-WEST-LT | [NAME] | 8734224.714677522 | -71824.50064872578 | 3800000 | 7900000 | VIOLATION
 | WEST-ST | POWER-WEST-ST1 | [NAME] | 3082525.195152889 | -1507790.671578519 | 1700000 | 3300000
 | CANADA | FT-CAND-PWR-1 | [NAME] | 35330750.75252587 | 926565.3255859986 |  |  | VIOLATION
 | TOTAL WEST POWER |  | [NAME] | 44189915.28537162 | -518475.276480265
 | WEST POWER LONG TERM
 | MANAGEMENT | POWER-WM-LT | [NAME] | 2920957.617383915 | 265888.0410647779 | 1300000 | 2400000 | VIOLATION
 | CALIFORNIA | POWER-CA-LT | [NAME] | 844992.2775648542 | -144369.5774532994 | 1300000 | 2400000
 | NORTHWEST REGION | POWER-NW-LT | [NAME] | 5293905.039123687 | -354119.3432042776 | 3100000 | 6100000
 | SOUTHWEST REGION | POWER-SW-LT | [NAME] | 4845562.333286012 | 375896.424358177 | 1300000 | 2800000 | VIOLATION
 | WEST-LT | POWER-WEST-LT |  | 8734224.714677522 | -71824.50064872578 | 3800000 | 7900000 | VIOLATION
 | WEST POWER SHORT TERM
 | CA-ST | POWER-CA-ST | [NAME] Richter | 1207005.710291976 | 36589.26792455837 | 1000000 | 3000000
 | NW-ST | POWER-NW-ST | [NAME] | 1004486.597264141 | -221398.9932739036 | 1000000 | 1400000
 | SW-ST | POWER-SW-ST | [NAME]/[NAME] | 1176236.069629832 | -1586892.316785082 | 1000000 | 1300000
 | WEST-ST | POWER-WEST-ST1 | [NAME] | 3082525.195152889 | -1507790.671578519 | 1700000 | 3300000
Spreadsheet: 857967d1706795098-formula-import-and-export-inventory-according-to-expiration-date-and-age-of-inventory-nhap-xuat-ton-date-hongnhung88-
Sheet: Input

 |  | End Stock
 |  | PRODUCT | Sản phẩm A | Sản phẩm B | Sản phẩm C | Sản phẩm A | Sản phẩm A | Sản phẩm B | Sản phẩm B | Sản phẩm C
 |  | Date | 2022-11-30 00:00:00 | 2022-11-30 00:00:00 | 2022-11-30 00:00:00 | 2023-01-01 00:00:00 | 2022-12-31 00:00:00 | 2023-12-31 00:00:00 | 2024-01-01 00:00:00 | 2024-01-01 00:00:00
 |  | AMOUNT | 5 | 20 | 20 | 100 | 50 | 150 | 200 | 80
PRODUCT | AMOUNT
Sản phẩm A | 5
Sản phẩm A | 5
Sản phẩm A | 20
Sản phẩm B | 20
Sản phẩm B | 30
Sản phẩm B | 120
Spreadsheet: 491051d1480279520-vba-code-for-changing-font-colors-my-book-1-
Sheet: Φύλλο2

 | TEAM 1 |  |  | TEAM 2
 | SUPERVISOR 1 | B. |  | SUPERVISOR 1 | L.
 | SUPERVISOR 2 | X. |  | SUPERVISOR 2 | I.
 | SUPERVISOR 3 | A. |  | SUPERVISOR 3 | S.
 | SUPERVISOR 4 | J. |  | SUPERVISOR 4 | T.
 | Here This form is printed. For example I have chosen one person from each table, randomly.
 | I put the colors manually, as I enter the last name of a person gets to be colored font, according to the color corresponding respectively to the table where the name?
 | Go to sheet 3.
Spreadsheet: 587884d1535370613-off-day-schedule-schedulerotation
Sheet: Future Schedule May 2019

Date | Employee1 | Employee2 | Employee3 | Employee4 | Employee5 | Employee6 | Employee7 | Weekday
2019-05-01 00:00:00
Spreadsheet: 2523f0c0-21c4-4371-9ce0-08a9f0f278ee
Sheet: Sheet1

Battle ID | Date & Time | Side | Victory | Score | Opp. Score | Opp. ID | Opp. Name | Scenario ID | Front | Start Date | End Date | Name EN | Name FR
42830243 | 2014-08-22 12:17:07 | AXIS | 1 | 7 | 4 | 807136 | Melnire | 7594 | eastern | 1943-07-05 | 1943-07-09 | Ponyri | Ponyri
42830408 | 2014-08-22 12:30:55 | ALLIES | 0 | 1 | 7 | 807136 | Melnire | 7594 | eastern | 1943-07-05 | 1943-07-09 | Ponyri | Ponyri
42903491 | 2014-08-27 14:43:33 | AXIS | 1 | 6 | 4 | 1362585 | NEMAUS | 6150 | mediterranean | 1944-08-25 | 1944-08-25 | [NAME] | [NAME]
42903611 | 2014-08-27 14:59:20 | ALLIES | 0 | 5 | 6 | 1362585 | NEMAUS | 6150 | mediterranean | 1944-08-25 | 1944-08-25 | [NAME] | [NAME]
42903759 | 2014-08-27 15:46:15 | AXIS | 1 | 10 | 6 | 668571 | Jf Orion | 7662 | eastern | 1942-10-22 | 1942-10-22 | Red Barricades Factory | Les Barricades Rouges
42904152 | 2014-08-27 16:21:31 | ALLIES | 0 | 6 | 10 | 668571 | Jf Orion | 7662 | eastern | 1942-10-22 | 1942-10-22 | Red Barricades Factory | Les Barricades Rouges
42907294 | 2014-08-27 20:48:10 | AXIS | 1 | 6 | 5 | 1526787 | browndog | 12509 | western | 1944-06-06 |  | [Normandy] Vaumicel Manor | Château de Vaumicel
42907615 | 2014-08-27 21:06:31 | ALLIES | 1 | 6 | 4 | 1526787 | browndog | 12509 | western | 1944-06-06 |  | [Normandy] Vaumicel Manor | Château de Vaumicel
42946729 | 2014-08-30 18:09:58 | AXIS | 1 | 6 | 4 | 1611464 | player1611464 | 6152 | western | 1944-12-20 | 1944-12-22 | [NAME] | St. Vith