tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 471674d1469129943-solver-constraint-if-statement-workaround-daily-production-binary-solver-example
Sheet: Sheet1

 | Machine | [NAME] tpd | Min tpd | VST |  | Inventory |  |  | Startup/Shutdown Cost
 | M1 | 250 | 175 | 40 |  | [NAME] | 9000 |  | M1 | 26000
 | M2 | 450 | 300 | 30 |  | Min | 2000 |  | M2 | 26000
 | M3 | 560 | 375 | 20 |  |  |  |  | M3 | 26000
 | External Purchases |  |  | 100
 | Total Cost
 |  |  |  |  |  |  |  |  |  |  |  |  |  | `
 |  | Day | 1 | 2 | 3 | 4 | 5 | 6 | 7
 | Production | M1 | 0 | 230 | 250 | 0 | 0 | 0 | 0
 |  | M2 | 0 | 450 | 450 | 440 | 300 | 0 | 330
 |  | M3 | 0 | 560 | 560 | 560 | 560 | 560 | 560
 | Startup Costs | M1
 |  | M2
 |  | M3
 | Production (Y/N) | M1 | 0 | 1 | 1 | 0 | 0 | 0 | 0
 |  | M2 | 0 | 1 | 1 | 1 | 1 | 0 | 1
 |  | M3 | 0 | 1 | 1 | 1 | 1 | 1 | 1
 |  | External Purch
 | [NAME] | M1
 |  | M2
 |  | M3
 |  | M1
 |  | M2
 |  | M3
 | Machine Shutdown | M1 | 0 |  |  |  |  |  |  | *Shutdown Costs are not included in solver optimization, but the 1 is basically showing when I need to apply the startup penalty
 |  | M2 | 0
 |  | M3 | 0
 | Startup/Shutdown Cost | M1
 |  | M2
 |  | M3
 | Demand |  | 1500 | 3000 | 2500 | 1000 | 500 | 800 | 1010
 | Inventory | Min
 |  | Inventory | 5000
 |  | [NAME]
 | VST Prod Cost | M1
 |  | M2
 |  | M3
 |  | Total Cost
Spreadsheet: 83740d1283785260-vlookup-and-if-book1-1-
Sheet: MOT & Service

Customer No. | Magic No | Customer | Address | Postcode | Phone 1 | Mobile | Description | Reg No. | [NAME] date | Del date | MOT Due | Next serv | Last work | Last MOT | Last ser | Mileage | Date In | In Count | WIP No | [NAME] | [NAME] | Text Contact | Letter Contact
34598 | 95059 |  |  |  |  |  |  |  |  | /  / |  |  |  |  |  |  |  |  |  |  |  | 2010-08-26 00:00:00 | 2010-08-05 00:00:00
Spreadsheet: 877391d1724232321-converting-table-by-index-match-need-help-index-attendance
Sheet: Sheet1

 | DAY | NIGHT | REST | RO |  |  |  |  | 2024-09-01 00:00:00 | 2024-09-02 00:00:00 | 2024-09-03 00:00:00 | 2024-09-04 00:00:00 | 2024-09-05 00:00:00 | 2024-09-06 00:00:00 | 2024-09-07 00:00:00 | 2024-09-08 00:00:00 | 2024-09-09 00:00:00 | 2024-09-10 00:00:00 | 2024-09-11 00:00:00 | 2024-09-12 00:00:00 | 2024-09-13 00:00:00 | 2024-09-14 00:00:00 | 2024-09-15 00:00:00 | 2024-09-16 00:00:00 | 2024-09-17 00:00:00 | 2024-09-18 00:00:00 | 2024-09-19 00:00:00 | 2024-09-20 00:00:00 | 2024-09-21 00:00:00 | 2024-09-22 00:00:00 | 2024-09-23 00:00:00 | 2024-09-24 00:00:00 | 2024-09-25 00:00:00 | 2024-09-26 00:00:00 | 2024-09-27 00:00:00 | 2024-09-28 00:00:00 | 2024-09-29 00:00:00 | 2024-09-30 00:00:00
2024-09-01 00:00:00 | B | A | C | D |  |  |  | A
2024-09-02 00:00:00 | B | A | C | D |  |  |  | B | DAY
2024-09-03 00:00:00 | C | D | A | B |  |  |  | C | REST
2024-09-04 00:00:00 | C | D | A | B |  |  |  | D | RO
2024-09-05 00:00:00 | C | D | A | B
2024-09-06 00:00:00 | C | D | A | B
2024-09-07 00:00:00 | A | B | D | C
2024-09-08 00:00:00 | A | B | D | C
2024-09-09 00:00:00 | A | B | D | C
2024-09-10 00:00:00 | A | B | D | C
2024-09-11 00:00:00 | D | C | B | A
2024-09-12 00:00:00 | D | C | B | A
2024-09-13 00:00:00 | D | C | B | A
2024-09-14 00:00:00 | D | C | B | A
2024-09-15 00:00:00 | B | A | C | D
2024-09-16 00:00:00 | B | A | C | D
2024-09-17 00:00:00 | B | A | C | D
2024-09-18 00:00:00 | B | A | C | D
2024-09-19 00:00:00 | C | D | A | B
2024-09-20 00:00:00 | C | D | A | B
2024-09-21 00:00:00 | C | D | A | B
2024-09-22 00:00:00 | C | D | A | B
2024-09-23 00:00:00 | A | B | D | C
2024-09-24 00:00:00 | A | B | D | C
2024-09-25 00:00:00 | A | B | D | C
2024-09-26 00:00:00 | A | B | D | C
2024-09-27 00:00:00 | D | C | B | A
2024-09-28 00:00:00 | D | C | B | A
2024-09-29 00:00:00 | D | C | B | A
2024-09-30 00:00:00 | D | C | B | A
Spreadsheet: 833785d1687256599-populate-matrix-table-with-two-axis-matrix
Sheet: matrix

Security | Return | Credit score
AAA | 0.1 | 5 |  |  |  | 1 | 2 | 3 | 5 | 7 | 10
BAB | 0.1 | 5 |  |  | -1 |  |  |  |  | TRE
RED | 0.15 | 1 |  |  | -0.1 | HJI
TRE | -1 | 7 |  |  | -0.05 |  | ERT
CCC | 0.25 | 10 |  |  | 0.05 |  |  | BEW
UVV | 0.22 | 5 |  |  | 0.07 | LKL
BEW | 0.05 | 3 |  |  | 0.1 |  |  |  | AAA,BAB | DEW
ERT | -0.05 | 2 |  |  | 0.15 | RED |  |  | OOO
HJI | -0.1 | 1 |  |  | 0.22 |  |  |  | UVV
OOO | 0.15 | 5 |  |  | 0.25 |  |  |  |  |  | CCC
LKL | 0.07 | 1
DEW | 0.1 | 7
Spreadsheet: 154969d1336637118-vat-returns-uk-excelforum-830270-vat-return
Sheet: Summary

 | Period Start: | 2012-03-01 00:00:00 |  |  | Period End:
 |  | [NAME] |  |  |  | VAT Collected
# | Invoice Date | Supplier | [NAME] | # | Invoice Date | Customer | [NAME]
 |  | TOTAL |  |  |  | TOTAL
 |  |  |  |  |  | VAT DUE PAGE 1
 | Period Start: |  |  |  | Period End: |  | Page 2
 | [NAME] |  |  |  | VAT Collected
 | Invoice Date | Supplier | [NAME] |  | Invoice Date | Customer | [NAME]
 |  | TOTAL |  |  |  | TOTAL
 |  |  |  |  |  | VAT DUE PAGE 1
 |  |  |  |  |  | VAT DUE PAGE 2
 |  |  |  |  |  | VAT DUE PAGE 1 + 2
Spreadsheet: 876177d1722859264-live-date-highlights-when-past-due-date-joetrimtech-concrete-cube-testing-aligw
Sheet: C3037

CONCRETE CUBE RESULTS
 |  |  |  |  |  |  |  |  |  | Acceptable mean result |  |  |  | = |  | N/sq.mm | [BS 5328 cl. 3.16.2 b] |  |  |  |  |  |  |  |  |  |  |  | grade strength |  |  | 37 |  | N/mm2
 |  |  |  | N/sq.mm |  |  |  |  |  | Acceptable mean of four |  |  |  | = |  | N/sq.mm | [BS 5328 cl. 3.16.2 a] |  |  |  | [except first three results] |  |  |  |  |  |  |  | compliance specification |  |  | 37 |  | N/mm2
 |  |  |  |  |  | 7 day test |  |  |  |  | 14 day test |  |  |  |  | 28 day test |  |  |  |  | Spare |  |  |  |  |  |  | 7-14 day strength gain |  | 14-28 day strength gain
Date of casting | Section | Bay No. | Location | RMC Ticket No. | Slump [NAME] | cube no. | density | Result due | Age at testing | strength | cube no. | density | Result due | Age at testing | strength | cube no. | density | Result due | Age at testing | strength | cube no. | density | Age at testing | strength | 28 day 'result' | 28 day strength | 28 day Rolling Mean | N/sq.mm | ratio | N/sq.mm | ratio | Rolling mean compliant?             Cl. 3.16.2 | Individual results compliant? Cl 3.16.2 | 28 day result valid?           Cl. 3.61.1 | NOTES
2024-07-02 00:00:00 |  |  | GIS RING BEAM FOUNDATION |  | 140 | GIS 1 | 2392 |  | 7 | 26 | GIS 2 | 2404 |  | 14 | 38.3 | GIS 3 |  |  |  |  | GIS 4 |  |  |  |  |  | not applicable |  |  |  |  | not applicable
2024-07-02 00:00:00 |  |  | GIS RING BEAM FOUNDATION |  | 120 | GIS 5 | 2416 |  | 7 | 32.2 | GIS 6 | 2412 |  | 14 | 37.3 | GIS 7 |  |  |  |  | GIS 8
2024-07-02 00:00:00 |  |  | GIS RING BEAM FOUNDATION |  | 130 | GIS 9 | 2392 |  | 7 | 28.4 | GIS 10 | 2394 |  | 14 | 36.7 | GIS 11 |  |  |  |  | GIS 12
2024-07-15 00:00:00 |  |  | GIS LOWER WALLS POUR 1 |  | 140 | GIS 13 | 2436 |  | 7 | 21.6 | GIS 14 |  |  |  |  | GIS 15 |  |  |  |  | GIS 16
2024-07-19 00:00:00 |  |  | SYNCON PEDESTAL POUR 1 |  | 170 | SCP17 |  |  |  |  | SCP18 |  |  |  |  | SCP19 |  |  |  |  | SCP20
2024-07-19 00:00:00 |  |  | SYNCON PEDESTAL POUR 1 |  | 151 | SCP21 |  |  |  |  | SCP22 |  |  |  |  | SCP23 |  |  |  |  | SCP24
2024-07-19 00:00:00 |  |  | SYNCON PEDESTAL POUR 1 |  | 157 | SCP25 |  |  |  |  | SCP26 |  |  |  |  | SCP27 |  |  |  |  | SCP28
2024-07-19 00:00:00 |  |  | SYNCON PEDESTAL POUR 1 |  | 170 | SCP29 |  |  |  |  | SCP30 |  |  |  |  | SCP31 |  |  |  |  | SCP32
2024-07-23 00:00:00 |  |  | GIS LOWER WALLS POUR 2 |  | 140 | GIS 33 |  |  |  |  | GIS 34 |  |  |  |  | GIS 35 |  |  |  |  | GIS 36
2024-07-29 00:00:00 |  |  | GIS UPPER WALLS POUR 1 |  | 135 | GIS 37 |  |  |  |  | GIS 38 |  |  |  |  | GIS 39 |  |  |  |  | GIS 40
2024-07-30 00:00:00 |  |  | GIS UPPER WALLS POUR 2 |  | 150 | GIS 41 |  |  |  |  | GIS 42 |  |  |  |  | GIS 43 |  |  |  |  | GIS 44
2024-08-01 00:00:00 |  |  | GIS UPPER WALLS POUR 3 |  |  | GIS 45 |  |  |  |  | GIS 46 |  |  |  |  | GIS 47 |  |  |  |  | GIS 48
Spreadsheet: 186ef81c-dcc4-4877-896d-e1e0cf549813
Sheet: B

Course color corresponds with term of offering.  ORANGE for Fall semester, PURPLE for J-term, GREEN for both Fall and J-term.
 | AOK Designation | CAR Designation | Comment
Biology
BIOL 121 | Natural & Mathematical Sciences-Nat Sci w Lab
BIOL 122 | Natural & Mathematical Sciences-Nat Sci w Lab
BIOL 124 | Natural & Mathematical Sciences-Nat Sci w Lab
BIOL 125 | Natural & Mathematical Sciences-Nat Sci w Lab
BIOL 126 | Natural & Mathematical Sciences-Nat Sci w Lab
BIOL 127 | Natural & Mathematical Sciences-Nat Sci w Lab
BIOL 129 | Natural & Mathematical Sciences-Nat Sci w Lab
BIOL 133 | Natural & Mathematical Sciences-Nat Sci w Lab
BIOL 151 | Natural & Mathematical Sciences-Nat Sci w Lab
BIOL 155 | Natural & Mathematical Sciences-Nat Sci w Lab
BIOL 175 | Natural & Mathematical Sciences-Nat Sci w Lab
BIOL 181 | Natural & Mathematical Sciences-Nat Sci w Lab
BIOL 182 | Natural & Mathematical Sciences-Nat Sci w Lab
BIOL 250 |  | Experiential-Travel
BIOL 309 | Natural & Mathematical Sciences-Nat Sci w Lab
BIOL 315 | Natural & Mathematical Sciences-Nat Sci w Lab
BIOL 333 | Natural & Mathematical Sciences-Nat Sci w Lab | Experiential-Travel
BIOL 335 | Natural & Mathematical Sciences-Nat Sci w Lab | Experiential-Travel
BIOL 350 |  | Computing
BIOL 381 | Natural & Mathematical Sciences-Nat Sci w Lab |  | 2009-2010 (Flies, Fishes, and Foods)
BIOL381 | Natural & Mathematical Sciences-Nat Sci w Lab |  | Summer 2013 (Special Topics in General Zoology)
 |  |  | Fall 2011 (Evolution & Natural Selection)
BIOL 400 |  | Experiential-Research; Capstone
BIOL 450 |  | Experiential-Research
BIOL 487-488 |  | Experiential-Research; Capstone
BIOL 491-492 |  | Experiential-Research
BIOL 496-498 |  | Experiential-Research; Capstone
Black Studies
BLST 160 | Social Sciences | Non-Western, Experiential-Travel | Cross-listed with PSYC 160
BLST 201 | Social Sciences |  | Cross-listed with SOCI 225
BLST 381 |  | Experiential-Travel | J-Term 2009,2010;2012  Cross-listed with HIST 381
BLST 381 | Arts & Literature-Arts |  | J-Term 2013 (Black American Theatre)
Business
BUSN 111 | Social Sciences
BUSN 213 | Social Sciences
BUSN 336 |  | Computing
BUSN 425 |  | Capstone | Accounting & Economics/Business major
BUSN 450-451 |  | Experiential-Internship, Capstone | Economics/Business major
BUSN 452 |  | Capstone; Experiential-Internship | Accounting major
BUSN 455 |  | Capstone; Experiential-Field Studies
BUSN 481 |  | Experiential-Travel | J-Term 2014(Industrailization: Progression of Industrail Rev.In GB)
BUSN 491-492 |  | Capstone; Experiential-Research | Accounting & Economics/Business major
BUSN 496-498 |  | Capstone; Experiential-Research | Accounting & Economics/Business major
Spreadsheet: 819938d1677772209-need-formula-to-lookup-last-posted-balance-sample11-updated
Sheet: Sheet1

Current Date
Card 1
Date | Card Type | Balance
2023-02-15 00:00:00 | Card 1 | 901.66
2023-02-16 00:00:00 | Card 2 | 1004.45
2023-02-20 00:00:00 | Card 1 | 850.65
2023-02-22 00:00:00 | Card 1 | 320.33
2023-02-22 00:00:00 | Card 2 | 501.23
Spreadsheet: 1646e901-f508-4772-bdda-58151a2be777
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5
Table S1. EST Generation and Clustering.
EST Generation & Clustering |  |  | A. suum |  | H. conturtus
EST Generation:
 | cDNA libraries |  | 18 |  | 6
 | Total ESTs submitted |  | 31416 |  | 14014
 | Total bases in ESTs (bp) |  | 13604503 |  | 6322152
EST Contig Building:
 | Total contigs |  | 17989 |  | 9842
 | Total ESTs in contigs |  | 38978 |  | 22152
 | Internal ESTs included |  | 29724 |  | 14006
 | External ESTs included |  | 9354 |  | 8146
 | Total bases in contigs (bp) |  | 7738893 |  | 4701900
 | Average contig length (bp) |  | 430 |  | 478
 | Median contig length (bp) |  | 389 |  | 498
 | Longest contig length (bp) |  | 14284 |  | 9196
EST [NAME]:
 | Total EST clusters |  | 9947 |  | 5058
Spreadsheet: 781878d1653597835-using-conditional-formatting-with-multiple-criterias-penetration-report-template-2022
Sheet: Sheet1

 |  |  |  |  |  |  |  | HURDLE
Program | AutoEnroll |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | HURDLE
Community | Months using AP | Units on AP | Total Units | AssetProtect Penetration % | Total on 3rd Party | Total Percent Insured |  | Months using AP | Expected Penetration % Auto Enroll | Expected Penetration % Preferred Partner | Expected Penetration % Opt Out |  |  |  |  |  |  |  |  |  |  |  |  | Month | Auto Enroll | Preferred Partner | Opt Out
Apartment 123 | 3 | 35 | 47 |  | 3 |  |  | 1 | 0 | 0 | 0 |  |  |  |  |  |  |  |  |  |  |  |  | 1 | 0 | 0 | 0
Apartment 124 | 7 | 12 | 240 |  | 73 |  |  | 2 | 0.06 | 0.03 | 0.03 |  |  |  |  |  |  |  |  |  |  |  |  | 2 | 0.06 | 0.03 | 0.03
Apartment 125 | 10 | 64 | 287 |  | 70 |  |  | 3 | 0.15 | 0.06 | 0.06 |  |  |  |  |  |  |  |  |  |  |  | AutoEnroll | 3 | 0.15 | 0.06 | 0.06
Apartment 126 | 20 | 20 | 104 |  | 15 |  |  | 4 | 0.22 | 0.09 | 0.09 |  |  |  |  |  |  |  |  |  |  |  | Preferred Partner | 4 | 0.22 | 0.09 | 0.09
Apartment 127 | 15 | 22 | 52 |  | 5 |  |  | 5 | 0.29 | 0.12 | 0.12 |  |  |  |  |  |  |  |  |  |  |  | Opt Out | 5 | 0.29 | 0.12 | 0.12
Apartment 128 | 15 | 17 | 200 |  | 71 |  |  | 6 | 0.36 | 0.15 | 0.15 |  |  |  |  |  |  |  |  |  |  |  |  | 6 | 0.36 | 0.15 | 0.15
Apartment 129 | 6 | 3 | 288 |  | 25 |  |  | 7 | 0.43 | 0.18 | 0.18 |  |  |  |  |  |  |  |  |  |  |  |  | 7 | 0.43 | 0.18 | 0.18
Apartment 130 | 9 | 90 | 252 |  | 32 |  |  | 8 | 0.5 | 0.21 | 0.21 |  |  |  |  |  |  |  |  |  |  |  |  | 8 | 0.5 | 0.21 | 0.21
Apartment 131 | 11 | 11 | 240 |  | 40 |  |  | 9 | 0.5700000000000001 | 0.24 | 0.24 |  |  |  |  |  |  |  |  |  |  |  |  | 9 | 0.5700000000000001 | 0.24 | 0.24
Apartment 132 | 14 | 120 | 264 |  | 86 |  |  | 10 | 0.64 | 0.27 | 0.27 |  |  |  |  |  |  |  |  |  |  |  |  | 10 | 0.64 | 0.27 | 0.27
Apartment 133 | 19 | 181.7416676299175 | 240 |  | 24 |  |  | 11 | 0.71 | 0.3 | 0.3 |  |  |  |  |  |  |  |  |  |  |  |  | 11 | 0.71 | 0.3 | 0.3
 |  |  |  |  |  |  |  | 12 | 0.78 | 0.33 | 0.33 |  |  |  |  |  |  |  |  |  |  |  |  | 12 | 0.78 | 0.33 | 0.33
 |  |  |  |  |  |  |  | 13 | 0.85 | 0.36 | 0.36 |  |  |  |  |  |  |  |  |  |  |  |  | 13 | 0.85 | 0.36 | 0.36
 |  |  |  |  |  |  |  | 14 | 0.88 | 0.4 | 0.4 |  |  |  |  |  |  |  |  |  |  |  |  | 14 | 0.88 | 0.4 | 0.4
Spreadsheet: 174041d1344894354-autopopulate-table-in-sheet-1-when-entries-are-put-into-sheet-2-3-4-etc-autofill-table-on-another-sheet
Sheet: Sheet - Template

 |  | Sheet # | Master
 |  | Key | AA | AB | AC | AD | AE
 |  | Master
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Spreadsheet: 806840d1669629608-stop-average-calculation-when-condition-met-darts-scorer
Sheet: Game 1

 | Single
 |  |  |  |  |  |  |  |  |  | Game
 | Throws |  |  |  |  |  |  | Round
 | 1 | 100 | 45 | 90 | 56 | 56 | 100
 | 2 | 23 | 65 | 65 | 45 | 45 | 21
 | 3 | 20 | 50 | 12 | 45 | 12
 | 4
 | 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
 | Averages
 | Position
 | Finish (2)
Spreadsheet: 841342d1693512537-sumproduct-with-if-statement-jf456-example
Sheet: example

Crop | wheat | barley | sunflower | corn | barley | corn | soybean |  | total acres
acres | 100 | 150 | 100 | 150 | 100 | 100 | 100
share of acres | 1 | 0.7 | 0.8 | 0.75 | 1 | 1 | 0.8
 | Share of Acres
Barley | 205
Corn | 212.5
Soybean | 80
Sunflower | 80
Wheat | 100
Total
Spreadsheet: dan_hyvl__4885__Engage Energy Canada LP Amend
Sheet: ANEWSWP2

ISDA SWAP AGREEMENT INFORMATION SHEET
 |  | ATTORNEY:
DATE: | 2000-05-02 00:00:00 | DEAL MAKER:
COUNTERPARTY: | Engage Energy Canada L.P. | CONTACT: | Nithya Venkatesan
ADDRESS: | Five Greenway Plaza | TITLE: | Credit Analyst
 | Suite 1200 | PHONE: | [PHONE]
 | Houston, TX  77046 | FAX: | [PHONE]
Incorporation State | Alberta | S&P Rating | n/a
STRUCTURE | COUNTERPARTY | ECC
GUARANTOR (RATING) | Westcoast Gas Inc. | Enron Corp (BBB-)
LIMIT $ MILLIONS | US $10MM | $10MM
Incorporation State | British Columbia, Canada | Oregon
COLLATERAL  THRESHOLD
 | US $10MM | US $10MM
Specify Type of Debt:
COLLATERAL TYPE
Letter of Credit | OK | OK
Cash | OK | OK
MINIMUM TRANSFER $ | 1 | 1
COLLATERAL ROUNDING
Delivery Amount | 250000 | 250000
Return Amount | 250000 | 250000
HOLDING and USE OF COLLATERAL
Permitted
Minimum S & P/Moody's
rating permitted
MATERIAL ADVERSE CHANGE TRIGGERS - if Matrix not applicable
APPLY TO:
-Counterparty
-Guarantor | X | X
Debt Ratings Change |  | X
-Below = S&P/Moody's |  | BBB- | S&P
Financial Covenants
-Funded debt/Worth | 2:1
-Minimum Net Worth | C$ 1B
-Cash Flow/CMLTD
Ownership Change | X
-Less than 50% owned by: | X
Westcoast Energy, Inc. | X
Non-Specific
-Unilateral
Non-Standard Definitions
-Funded Debt
-Net Worth
EVENTS OF DEFAULT
3rd party debt | X | X
-Counterparty ($[NAME])
-Guarantor ($[NAME]) | US $50MM | $100MM
Change in ownership
FINANCIAL STATEMENTS
-Standard | X | X
- Request financials on:
CREDIT DECISION: | APPROVED :  X | DECLINED:
OUTSTANDING SWAP TRANSACTIONS: |  | YES: | NO:
ALL SWAPS TO ROLL UP UNDER NEW MASTER: |  | YES: | NO:
CREDIT PROVISIONS OF MASTER TO GOVERN: |  | YES: | NO:
OTHER COMMENTS:
Enegage Energy has received a new guarantor (Western Gas, Inc.) The ISDA should be amended appropriately.
In addition, an amended/new guaranty should be executed in the name of the new guarantor.
I have highlited in red the amended changes
CREDIT REVIEW  PREPARED BY: |  | [NAME] | x5-7095
Spreadsheet: 105898d1303164616-solved-finding-values-in-a-matrix-automatically-matrix
Sheet: Sheet1

area.code | state |  | AL | 205 | 251 | 256 | 334 | 659
205 | ? |  | AK | 907
97 | ? |  | AR | 480 | 520 | 602 | 623 | 928
602 | ?
623 | ?
334 | ?
I would like the question marks in the state column to become |  |  |  |  |  | AL
 |  |  |  |  |  | AK
 |  |  |  |  |  | AR
 |  |  |  |  |  | AR
 |  |  |  |  |  | AL
Spreadsheet: 06e742fa-c933-4acb-8b82-34a80fe2b0cd
Sheet: Grade 8 Reading

2013 Minnesota Comprehensive Assessments-Series III (MCA-III)
[NAME]
Scale Score | Level | Percentile Rank
802 | D | 1
803 | D | 1
804 | D | 1
805 | D | 1
806 | D | 1
807 | D | 2
808 | D | 2
809 | D | 2
810 | D | 2
811 | D | 2
812 | D | 2
813 | D | 3
814 | D | 3
815 | D | 3
816 | D | 4
817 | D | 4
818 | D | 4
819 | D | 5
820 | D | 5
821 | D | 6
822 | D | 6
823 | D | 7
824 | D | 7
825 | D | 8
826 | D | 9
827 | D | 10
828 | D | 10
829 | D | 11
830 | D | 12
831 | D | 13
832 | D | 14
833 | D | 16
834 | D | 17
835 | D | 18
836 | D | 20
837 | D | 21
838 | D | 23
839 | D | 24
840 | P | 26
841 | P | 28
842 | P | 30
843 | P | 32
844 | P | 34
845 | P | 36
846 | P | 38
847 | P | 40
848 | P | 43
849 | P | 45
850 | M | 47
851 | M | 49
852 | M | 52
853 | M | 54
854 | M | 56
855 | M | 59
856 | M | 61
857 | M | 63
858 | M | 66
859 | M | 68
860 | M | 70
861 | M | 72
862 | M | 74
863 | M | 76
864 | M | 78
865 | M | 80
866 | M | 82
867 | E | 83
868 | E | 85
869 | E | 86
870 | E | 88
871 | E | 89
872 | E | 90
873 | E | 91
874 | E | 92
875 | E | 93
876 | E | 94
877 | E | 95
878 | E | 95
879 | E | 96
880 | E | 96
881 | E | 97
882 | E | 97
883 | E | 98
884 | E | 98
885 | E | 98
886 | E | 98
887 | E | 99
888 | E | 99
889 | E | 99
890 | E | 99
891 | E | 99
892 | E | 99
893 | E | 99
894 | E | 99
895 | E | 99
896 | E | 99
897 | E | 99
898 | E | 99
End of Worksheet
Spreadsheet: 137309d1327055336-how-to-sum-negative-times-arbeitsnachweis-monat_probe
Sheet: Arbeitsnachweis Monat

Name: |  |  |  | Monat: |  |  | [NAME]:
Tag | [NAME] | Ende | Pausen | Tägliche Arbeitszeit | Sollarbeitszeit | Tagessaldo | Kumulativsaldo | Arbeitsstatus
Übertrag Vormonat |  |  |  |  |  |  | 08:20:00
Kontrolle durch [NAME] |  |  |  | Kontrolle durch [NAME]
Datum: |  |  |  | Datum:
Unterschrift: |  |  |  | Unterschrift:
Spreadsheet: 176687d1346073424-indexing-with-duplicates-issue-department-position-status-working-file
Sheet: Claims

Claims | Claims
 | Filled Positions |  |  |  |  |  |  |  |  |  |  |  |  | Open Positions
 | Title | Location | Category |  | Hiring Manager | Number of Openings | Number Filled | Date Activated | Date Filled | Start Date | Business Days to Offer | Comments |  |  | Title | Location | Category | Hiring Manager | Created Date | Age | Comments
Spreadsheet: 861622d1709514796-error-if-not-leap-year-value-error-shows-sample-book
Sheet: Sheet3

 |  |  | 2023-02-01 00:00:00 | Week No. |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Leave | Weekdays | Weekend | Holiday
 |  |  |  | Day
 |  |  |  |  | 1 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1 | 1 |  |  |  |  | 1
Spreadsheet: 885094d1734522258-need-help-with-my-excel-attendance-sheet-working-days-rekod-cuti-staff-oriental
Sheet: Jenis Cuti

 | JENIS CUTI
 | [NAME] | Details | Kelayakan/tahun
 | MC | [NAME] | 14 hari | 14 hari
 | AL | [NAME] | 5 hari semasa tempoh percubaan setahun | 10 hari selepas tempoh percubaan
 | EL (Unpaid Leave) | [NAME] | 3 hari semasa tempoh percubaan setahun | 5 hari selepas tempoh percubaan
 | ML | Cuti Kelahiran | 90 hari | 90 hari
Spreadsheet: 123259d1317443415-calculating-percent-of-one-field-over-the-sum-of-another-coloraggres
Sheet: aggregated

school | year | gender | StudentCount | Color | ColorCount |  | % of Students Selecting each Color
ABC | 2008 | Female | 7 | Green | 7 |  |  | These are the percents I'd like to calculate in the pivot table.
ABC | 2008 | Female | 7 | Blue | 5
ABC | 2008 | Female | 7 | Red | 2
ABC | 2008 | Male | 8 | Green | 8
ABC | 2008 | Male | 8 | Blue | 5
ABC | 2008 | Male | 8 | Red | 3
XYZ | 2008 | Female | 1 | Green | 1
XYZ | 2008 | Female | 1 | Blue | 1
XYZ | 2008 | Male | 1 | Red | 1
XYZ | 2008 | Male | 1 | Blue | 1
How to read StudentCount: |  |  |  |  |  |  |  |  |  | Data
- there are 7 females in ABC in year 2008 |  |  |  |  |  |  | school | gender | Color | Sum of StudentCount | Sum of ColorCount | Average of %
- there are 8 males in ABC in year 2008 |  |  |  |  |  |  | ABC | Female | Green | 7 | 7 | 1
- etc. |  |  |  |  |  |  |  |  | Blue | 7 | 5 | 0.7142857142857143
 |  |  |  |  |  |  |  |  | Red | 7 | 2 | 0.2857142857142857
How to read ColorCount: |  |  |  |  |  |  |  | Male | Green | 8 | 8 | 1
- 7 out of the 7 females in ABC in 2008 selected Green |  |  |  |  |  |  |  |  | Blue | 8 | 5 | 0.625
- 5 out of the 7 females in ABC in 2008 selected Blue |  |  |  |  |  |  |  |  | Red | 8 | 3 | 0.375
- etc. |  |  |  |  |  |  | XYZ | Female | Green | 1 | 1 | 1
 |  |  |  |  |  |  |  |  | Blue | 1 | 1 | 1
 |  |  |  |  |  |  |  | Male | Blue | 1 | 1 | 1
 |  |  |  |  |  |  |  |  | Red | 1 | 1 | 1