tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 766909d1644161439-averageifs-and-top-bottom-book1
Sheet: Sheet1

Y/N | AMT
N | 30 |  | Y
Y | 5 |  | N
N | 6
Y | -4
Y | 5
N | -20
Y | -30
N | -24
Y | -15
N | -8
Y | -4
N | 6
Y | 90
N | 45
Y | 82
N | 61
Y | -85
Y | -90
N | -100
N | 7.5
Y | 1.25
N | 1.5
Y | -1
Y | 1.25
N | -5
Y | -7.5
N | -6
Y | -3.75
N | -2
Y | -1
N | 1.5
Y | 22.5
N | 11.25
Y | 20.5
N | 15.25
Y | -21.25
Y | -22.5
N | -25
N | 1.875
Y | 0.3125
N | 0.375
Y | -0.25
Y | 0.3125
N | -1.25
Y | -1.875
N | -1.5
Y | -0.9375
N | -0.5
Y | -0.25
N | 0.375
Y | 5.625
N | 2.8125
Y | 5.125
N | 3.8125
Y | 20
Y | 3.333333333333333
N | 4
N | -2.666666666666667
Y | 3.333333333333333
N | -13.33333333333333
Y | -20
Y | -16
N | -10
Y | -5.333333333333333
N | -2.666666666666667
Y | 4
N | 60
Y | 30
N | 54.66666666666666
Y | 40.66666666666666
N | -56.66666666666666
Y | -60
N | -66.66666666666667
Y | 5
Y | 0.8333333333333334
N | 1
N | -0.6666666666666666
Y | 0.8333333333333334
N | -3.333333333333333
Y | -5
Y | -4
N | -2.5
Y | -1.333333333333333
N | -0.6666666666666666
Y | 1
N | 15
Y | 7.5
N | 13.66666666666667
Y | 10.16666666666667
N | -14.16666666666667
Y | -15
N | -16.66666666666667
Y | 1.25
Y | 0.2083333333333333
N | 0.25
N | -0.1666666666666667
Y | 0.2083333333333333
N | -0.8333333333333334
Y | -1.25
Spreadsheet: 76588d1277142961-match-index-from-data-sheet-to-individual-sheet-subj-reimb-credit-calculation-question
Sheet: Subj Reimbursement

Site: Example
COMS #: 2######
CVD Study #: 82#####
Sponsor: Example
Protocol: ###xyz
Line Item | Rate | Units | SubTotals
Unit Days | 999 | 15 | 14985
Unit Day (by Exception)* | 999 | 0 | 0
OPVs | 999 | 0 | 0
Extended OPVs | 999 | 0 | 0
Wash out < 5 Days | 99 | 0 | 0
Wash out > 5 Days but < 10 Days | 999 | 0 | 0
Wash out > 10 Days but < 15 Days | 999 | 0 | 0
Continued participation through follow-up calculated as [NAME] out above | 9 | 0 | 0
Diaries (per week)** | 99 | 0 | 0
Telephone Contacts | 99 | 0 | 0
 |  |  | 14985 | Total
Spreadsheet: 107616d1304725422-performing-multiple-vlookups-new-spreadsheet
Sheet: Price-Table

 |  |  |  | 820/890
820/890 | EightTwenty |  | 0 | 566.95 | 566.95
830/840 | EightThirty |  | 6 | 1998.75 | 79.95
850/860 | EightFifty |  | 12 | 1748.75 | 69.95
870 | EightSeventy |  | 15 | 1548.75 | 61.95
880 | EightEighty |  |  | 830
3000A | Awning |  | 0 | 490.95 | 490.95
3000F | Casement |  | 6 | 1798.75 | 71.95
3002F | Casement2 |  | 12 | 1723.75 | 68.95
3003F | Casement3 |  | 15 | 1348.75 | 53.95
3004F | Casement4 |  |  | 3000A
3005F | Casement5 |  | 0 | 717.95 | 717.95
3000fg | Fixed |  | 7 | 2723.75 | 108.95
3002fg | Fixed2 |  | 9 | 2498.75 | 99.95
[NAME] | Fixed3 |  | 11 | 2173.75 | 86.95
3004fg | Fixed4 |  | 14 | 2023.75 | 80.95
3005fg | Fixed5 |  |  | 3000F
 |  |  | 0 | 418.95 | 659.95
 |  |  | 7 | 2273.75 | 90.95
 |  |  | 9 | 2048.75 | 81.95
 |  |  | 11 | 1873.75 | 74.95
 |  |  | 14 | 1798.75 | 71.95
 |  |  |  | 3002F
 |  |  | 0 | 418.95 | 659.95
 |  |  | 7 | 2273.75 | 90.95
 |  |  | 9 | 2048.75 | 81.95
 |  |  | 11 | 1873.75 | 74.95
 |  |  | 14 | 1798.75 | 71.95
 |  |  |  | 3003F
 |  |  | 0 | 418.95 | 699.95
 |  |  | 7 | 2373.75 | 94.95
 |  |  | 9 | 2148.75 | 85.95
 |  |  | 11 | 1998.75 | 79.95
 |  |  | 14 | 1898.75 | 75.95
 |  |  |  | 3004F
 |  |  | 0 | 418.95 | 699.95
 |  |  | 7 | 2373.75 | 94.95
 |  |  | 9 | 2148.75 | 85.95
 |  |  | 11 | 1998.75 | 79.95
 |  |  | 14 | 1898.75 | 75.95
 |  |  |  | 3005F
 |  |  | 0 | 418.95 | 699.95
 |  |  | 7 | 2373.75 | 94.95
 |  |  | 9 | 2148.75 | 85.95
 |  |  | 11 | 1998.75 | 79.95
 |  |  | 14 | 1898.75 | 75.95
 |  |  |  | 3000fg
 |  |  | 0 | 384.95 | 384.95
 |  |  | 7 | 1398.75 | 55.95
 |  |  |  | 30002fg
 |  |  | 0 | 384.95 | 384.95
 |  |  | 7 | 1398.75 | 55.95
 |  |  |  | [NAME]
 |  |  | 0 | 384.95 | 384.95
 |  |  | 7 | 1398.75 | 55.95
 |  |  |  | 30004fg
 |  |  | 0 | 384.95 | 384.95
 |  |  | 7 | 1398.75 | 55.95
 |  |  |  | 30005fg
 |  |  | 0 | 384.95 | 384.95
 |  |  | 7 | 1398.75 | 55.95
 |  |  |  | 860
 |  |  | 0 | 890.95 | 890.95
 |  |  | 10 | 2073.75 | 82.95
 |  |  | 19.9 | 1798.75 | 71.95
 |  |  | 25.9 | 1348.75 | 53.95
 |  |  | 40.9 | 1298.75 | 51.95
 |  |  |  | 870
 |  |  | 0 | 725.95 | 725.95
 |  |  | 6 | 2348.75 | 93.95
 |  |  | 12 | 2073.75 | 82.95
 |  |  | 15 | 1673.75 | 66.95
 |  |  |  | 880
 |  |  | 0 | 1028.95 | 1028.95
 |  |  | 10 | 2298.75 | 91.95
 |  |  | 19.9 | 1923.75 | 76.95
 |  |  | 25.9 | 1598.75 | 63.95
 |  |  | 40.9 | 1423.75 | 56.95
Spreadsheet: 121259d1315949941-automatically-fill-data-depending-on-choice-from-drop-down-menu-excel-help-1
Sheet: SE Region

Reporting Period: |  | P08 |  |  | SE HR Scorecard
 |  |  |  |  | Key Performance Indicator
 | Result Level: |  | Please Select Required Level | KPI Definition
 |  |  | KPIs | Unit | P 08/11 | P 09/11 | P 10/11 | P 11/11 | P 12/12 | Target | Comment
 |  |  |  | % | 1 | 1 | 1 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Please Select Required Level
 |  |  |  | % |  | 2 | 2 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | SE Region
 |  |  |  | % | 2 | 3 | 3 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Cluster Italy/Spain
 |  |  |  | % | 3 | 4 | 4 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Cluster Portugal
 |  |  |  | % |  | 5 | 5 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Cluster Hungary/Bulgaria/Romania
 |  |  |  | % | 1 | 3 | 3 | 1 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Cluster Israel/Greece/Cyprus/Malta/Albania
 |  |  |  | € | 2 | 4 | 4 | 2 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Cluster Hungary/Bulgaria/Romania
 |  |  |  | Avearge number | 3 | 1 | 1 | 3 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | [NAME]
 |  |  |  | % | 4 |  |  | 4
 |  |  |  | Avearge number | 2 |  |  | 5
 |  |  |  | % | 1 | 1 | 1 | 3 | 1
 |  |  |  | % | 2 | 2 | 2 | 4 | 2
 |  |  |  | % | 3 | 3 | 3 | 1 | 3
 |  |  |  | % | 4 | 4 | 4 | 4 | 4
 |  |  |  | % | 5 | 5 | 5 | 5 | 5
 |  |  |  | % | 3 | 3 | 3 | 3 | 3
 |  |  |  |  | 4 | 4 | 4 | 4 | 4
 |  |  |  | % | 1 | 1 | 1 | 1 | 1
Spreadsheet: sally_beck__33739__Metrics 0727
Sheet: Generation

E N R O N   N O R T H   A M E R I C A - H O T  L I S T  M E T R I C S |  |  |  |  |  |  |  |  |  |  |  |  | Team: | Generation Investments
Results based on Activity through July 27, 2000 |  |  |  |  |  |  |  |  |  |  |  |  | Week | 4
 |  | Weekly Summary - 2Q00 through 2Q01
 |  | # of Transactions
 |  | Week 1 | Week 2 | Week 3 | Week 4 | Week 5 | Week 6 | Week 7 | Week 8 | Week 9 | Week 10 | Week 11 | Week 12 | Week 13
 |  | 2000-07-07 00:00:00
Postings Rollforward:
Beginning |  | 11
+ Entrances |  | 0 | 0 | 7 | 0
- Exits |  | 0 | 0 | 0 | 2
- Executions |  | 0 | 0 | 0 | 0
Ending
Postings Rollforward:
Beginning
+ Entrances
- Exits
+/- [NAME]
- Executions
Ending
Average Deal Size
 |  | Quarterly Summary ($ millions)
 |  |  |  |  |  |  |  | Forward Quarters
 | YTD |  |  | Current Quarter |  | Per |  |  |  |  | Total Year
 | 2000 |  |  | 3Q00 |  | Hot List |  | 4Q00 |  |  | 2000 |  |  | 1Q01 |  |  | 2Q01
 | # | $ |  | # | $ |  |  | # | $ |  | # | $ |  | # | $ |  | # | $
Executions |  |  |  | 0 | 0 |  |  | 0 | 0 |  |  |  |  | 0 | 0 |  | 0 | 0
DPR/MPR |  |  |  |  |  |  |  |  | 0 |  |  |  |  |  | 0 |  |  | 0
Postings |  |  |  | 4 | 25 |  |  | 10 | 72.5 |  |  |  |  | 2 | 20 |  | 0 | 0
Identified Margin
Budget |  | 18.711
$ Coverage
Spreadsheet: 51707d1251329207-countif-and-index-formula-bill
Sheet: DataSheet

 | MOVEMENT AREA | TAKA |  |  | TAKA
 | BOGRA | 3600 |  |  |  | 3200
 | BOGRA | 3600 |  |  |  | 3600
 | BOGRA | 3700 |  |  |  | 3700
 | BOGRA Total | 10900 |  |  |  | 4200
 | CHITTAGONG | 4800 |  |  |  | 4600
 | CHITTAGONG | 4800 |  |  |  | 4800
 | CHITTAGONG Total | 9600 |  |  |  | 5200
 | COX'S BAZAR | 9200 |  |  |  | 9200
 | COX'S BAZAR | 9200
 | COX'S BAZAR Total | 18400
 | DINAJPUR | 4600
 | DINAJPUR | 4600
 | DINAJPUR | 4800
 | DINAJPUR Total | 14000
 | KONABARI | 3200
 | KONABARI | 4200
 | KONABARI | 4200
 | KONABARI | 4200
 | KONABARI | 4200
 | KONABARI | 4200
 | KONABARI | 4200
 | KONABARI | 4600
 | KONABARI | 4600
 | KONABARI | 4800
 | KONABARI | 4800
 | KONABARI | 4800
 | KONABARI | 4800
 | KONABARI Total | 56800
 | PABNA | 5200
 | PABNA Total | 5200
 | RANGPUR | 4200
 | RANGPUR Total | 4200
 | Grand Total | 119100
Spreadsheet: 800954d1666009371-extract-information-from-different-sheets-in-a-workbook-new-sample-file
Sheet: Group 2

Group Members : Group 2
Description
Generated at |  | 2022-10-17 09:53:49
S.No | Display Name |  | [NAME] |  | Primary Group | Department
1 | TEST Name5 |  | JKLDJO |  | Domain Users | Credit
2 | TEST Name6 |  | JFHUIKD |  | Domain Users | IT
3 | TEST Name7 |  | NBHDFL |  | Domain Users | Finance
5 | TEST Name8 |  | [NAME] |  | Domain Users | IT
Spreadsheet: 826150d1681828016-combine-if-with-offset-dynamic-lookup-dummy-data_adativs
Sheet: Data_Loc

Trainees at each garage after passing training school
4. Input trainees at locations. The more actuals we have, the more accurate the trend analysis
Depot | P01 | P02 | P03 | P04 | P05 | P06 | P07 | P08 | P09 | P10 | P11 | P12 | P13 | Average
London | 0.2
Paris | 0.02
Helsinki | 0.15
Geneva | 0.14
Stockport | 0.02
Edinburgh | 0.05
Birmingham | 0.03
[NAME] | 0.02
Liverpool | 0.04
Marseille | 0.08
Madrid | 0.11
Barcelona | 0.05
Zurich | 0.09
Total
Spreadsheet: 861625d1709517358-sum-of-values-using-dynamic-references-and-2-conditions-ivka-tracker
Sheet: Sheet1

 | Product Codes
 | BMR1 | [NAME]. | BY1 | [NAME]. | ROS1 | [NAME]. | BSK1 | [NAME].
 | 1 | LB111 | 1 | [NAME] | - | - | 3 | [NAME]
 | 2 | LB111 | - | - | 2 | LB116 | 3 | LB118
 | 3 | LB112 | 5 | [NAME] | - | - | 2 | [NAME]
 | Product Code | [NAME]. | Total
 | BMR1 | LB111 |  |  | SUM of the Values if Product Code & Batch Nr. Are Matching
 | BMR1 | LB112
 | BY1 | [NAME]
 | BY1 | LB116
 | BSK1 | [NAME]
 | BSK1 | LB118
Spreadsheet: cae6fa32-e317-45f0-97ae-583b6432e20b
Sheet: Table 4.1

4.1 Turnover of retail establishments
Month | 2009–10 | 2010–11 | 2011–12 | 2012–13 | 2013-14
Value (a)(b) – $ million
July | 19598.7 | 20395 | 20764.9 | 21583.1 | 22026
August | 19656.1 | 20448.8 | 20903.6 | 21582.9 | 22155
September | 19653.2 | 20434 | 20908.6 | 21684.1 | 22375.6
October | 19765.2 | 20237.8 | 20966.6 | 21658.9 | 22492.2
November | 20124 | 20384.1 | 21023.4 | 21603 | 22650.2
December | 19987.8 | 20427.4 | 20998.9 | 21527 | 22799.4
January | 20049.1 | 20425.8 | 20995.6 | 21745.7 | 23059.6
February | 19895.6 | 20646.6 | 21031.7 | 22019.4 | 23113.9
March | 19949.2 | 20542.7 | 21270.2 | 21914 | 23133.2
April | 20164.5 | 20725.5 | 21275.4 | 21911.4 | 23168.2
May | 20189.7 | 20652.4 | 21437.2 | 21943
June | 20267.8 | 20571.8 | 21690.9 | 21976
Annual | 239300.9 | 245891.9 | 253267 | 261148.5
Annual change (a) – per cent
July | 4.874303021222403 | 4.063024588365565 | 1.813679823486154 | 3.940303107647992 | 2.052068516570841
August | 5.658075093396391 | 4.032844765747029 | 2.224091389225762 | 3.249679481046329 | 2.650709589536149
September | 6.098166663067659 | 3.972889911057734 | 2.322599588920426 | 3.709000124350737 | 3.188972565151431
October | 5.66800320769849 | 2.391071175601553 | 3.601181946654293 | 3.301918289088363 | 3.847379137444634
November | 7.288517825440223 | 1.292486583184257 | 3.136267973567655 | 2.756927994520382 | 4.847474887747083
December | 2.355616096027219 | 2.199341598375028 | 2.797712875843231 | 2.514893637285766 | 5.910716774283472
January | 2.9531683270001 | 1.878887331600936 | 2.789609219712318 | 3.572653317838032 | 6.042114073127095
February | 3.551724855828269 | 3.774703954643229 | 1.865198144004339 | 4.69624424083645 | 4.970616819713541
March | 1.167401998072933 | 2.975056643875448 | 3.541404002395026 | 3.026769847016027 | 5.563566669708877
April | 2.1302782125112 | 2.782117086959744 | 2.653253238763838 | 2.989368002481726 | 5.735827012422746
May | 1.269524392323689 | 2.291762631440804 | 3.800042610059833 | 2.359449928162263
June | 2.210858624063249 | 1.499916123111532 | 5.439971222741818 | 1.314376074759465
Annual | 3.718868744763709 | 2.754272967631952 | 2.99932612664347 | 3.111933256207864
(a) Figures are seasonally adjusted.
(b)  Excludes hotels, licensed clubs, video hire outlets, hairdressing and beauty salons,
motor vehicle sales, motor vehicle parts and tyre retailing, fuel retailing and
marine equipment retailing. |  |  |  |  |  |  |  | Update
Source: ABS, Retail Trade, Australia, cat. no. 8501.0. April 2014 release. |  |  |  |  |  |  |  | 2014-07-03 00:00:00
Spreadsheet: 60259d1260826722-multiple-columns-transfered-to-one-column-709494_branco
Sheet: Plan1 (2)

 |  |  |  |  | Sold Volume |  |  |  |  |  | Price
 | Region | Customer | Model | X | Jan | Feb | Mar | Apr | May | Jun | Jan | Feb | Mar | Apr | May | Jun
 | Europe | A | aa | Europe:A:aa | 20 | 30 | 40 | 50 | 50 | 10 | 10 | 11 | 12 | 13 | 14 | 15
 | Europe | B | bb | Europe:B:bb | 40 | 31 | 25 | 42 | 20 | 1 | 12 | 11 | 12 | 32 | 43 | 54
 | Europe | C | aa | Europe:C:aa | 20 | 30 | 40 | 50 | 50 | 10 | 10 | 11 | 12 | 13 | 14 | 15
 | Asia | D | bb | Asia:D:bb | 20 | 50 | 40 | 15 | 50 | 10 | 12 | 11 | 12 | 32 | 43 | 54
 | Asia | E | cc | Asia:E:cc | 2050 | 301 | 900 | 349 | 3854 | 5439 | 10 | 11 | 12 | 13 | 14 | 15
 | North America | F | aa | North America:F:aa | 43 | 43 | 95 | 593 | 59 | 53 | 12 | 11 | 12 | 32 | 43 | 54
Spreadsheet: 739577d1625788182-make-cell-blank-if-value-over-70-excel-help
Sheet: B

 |  |  |  | WINDEMERE - FEEDING PROJECTIONS
 |  |  | NOTE: Generally 18% feeding diet is not required at the start of lay
 |  |  | Formula # | KCAL/KG
 |  |  | 240 | 2875 | 16% Broiler [NAME]
 |  |  | 243 | 2875 | 16% High Energy Broiler [NAME]
 |  |  | B160 | 2875 | 18% High Energy Broiler [NAME]
 |  |  | B160 | 2875 | 18% Broiler [NAME]
 |  |  | Start % lay | [NAME] |  | Start % lay | [NAME]
 |  |  | 2.5 | 381 |  | 2.5 | 401
 |  |  | End % lay | End Kcal |  | End % lay | End Kcal
 |  |  | 60 | 460 |  | 62.5 | 460
 |  |  |  | Kcal/day |  |  | Kcal/day
 |  |  |  | 3.434782608695652 |  |  | 2.458333333333333
Date | Day |  | Barn #5 |  |  | Barn #6
 |  |  | Feed |  |  | Feed
 |  |  | Lbs/100 |  |  | Lbs/100
 |  |  | Birds |  |  | Birds
 | 1 |  | 27 |  |  | 27
 | 2 |  | 27.4545 |  |  | 27.4545
 | 3 |  | 27.909 |  |  | 27.909
 | 4 |  | 28.3635 |  |  | 28.3635
 | 5 |  | 28.818 |  |  | 28.818
 | 6 |  | 29.2725 |  |  | 29.2725
 | 7 |  | 29.727 |  |  | 29.727
 | 8 |  | 30.1815 |  |  | 30.1815
 | 9 |  | 30.636 |  |  | 30.636
 | 10 |  | 31.0905 |  |  | 31.0905
 | 11 |  | 31.54499999999999 |  |  | 31.54499999999999
 | 12 |  | 31.99949999999999 |  |  | 31.99949999999999
 | 13 |  | 32.45399999999999 |  |  | 32.45399999999999
 | 14 |  | 32.9085 |  |  | 32.9085
 | 15 |  | 33.363 |  |  | 33.363
 | 16 |  | 33.8175 |  |  | 33.8175
 | 17 |  | 34.27200000000001 |  |  | 34.27200000000001
 | 18 |  | 34.72650000000001 |  |  | 34.72650000000001
 | 19 |  | 35.18100000000001 |  |  | 35.18100000000001
 | 20 |  | 35.63550000000001 |  |  | 35.63550000000001
 | 21 |  | 36.09000000000002 |  |  | 36.09000000000002
 | 22 |  | 36.54450000000002 |  |  | 36.54450000000002
 | 23 |  | #N/A |  |  | 36.99900000000002
 | 24 |  | #N/A |  |  | 37.45350000000003
 | 25 |  | #N/A |  |  | 37.90800000000003
 | 26 |  | #N/A |  |  | 38.36250000000003
 | 27 |  | #N/A |  |  | 38.81700000000004
 | 28 |  | #N/A |  |  | 39.27150000000004
 | 29 |  | #N/A |  |  | 39.72600000000004
Spreadsheet: 861832d1709658089-return-results-based-on-changing-sheet-name-and-column-course-info
Sheet: Solve

 |  |  |  |  |  |  |  |  | EXAMPLE RESULT
 |  |  | Type: | Data A | <<-- drop down of tab names |  |  |  | Type: | Data A | <<-- drop down of tab names
 |  |  | Subject: | Science | <<-- drop down of subjects |  |  |  | Subject: | Science | <<-- drop down of subjects
 | Tabs
 | Data A |  | Name | Class |  |  |  |  | Name | Class
 | Data B |  |  | E |  |  |  |  | [NAME] | E
 |  |  | [NAME] | D |  |  |  |  | [NAME] | D
 | Subject |  | [NAME] | S |  |  |  |  | [NAME] | S
 | Math |  | [NAME] | A |  |  |  |  | [NAME] | A
 | Science |  | [NAME] | A |  |  |  |  | [NAME] | A
 | French |  | Sophia | S |  |  |  |  | Sophia | S
 | Spanish |  | [NAME] | F |  |  |  |  | [NAME] | F
 | English |  | [NAME] | T |  |  |  |  | [NAME] | T
 | History |  | [NAME] | T |  |  |  |  | [NAME] | T
 | Literature |  | Joel | T |  |  |  |  | Joel | T
 | Finance
 | Econ
 | Psych
 | Gym
 | German
 | Writing
 | Business
 | DEI
 | Accounting
 | Anthro
 | Biology
 | Engineering
 | Civics
 | Geomoetry
 | Design
 | Art
 | Design
 | Humanities
Spreadsheet: 681792d1591749278-importing-data-from-several-sheets-for-voucher-system
Sheet: DV-PISU

 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | P |  | 9021.05 |  |  |  |  | 504483
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 500623
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 504491
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Less: 5% FVAT |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | -402.72 |  |  |  |  | 651271711
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2% EWT |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | -161.09
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | TOTAL |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | P |  | 8457.24
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Amount Due |  |  |  |  |  |  |  |  |  |  |  |  | P |  | 8457.24
B. Accounting Entry:
Account Title |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | UACS Code |  |  |  |  |  | Debit |  |  |  |  |  | Credit
 |  | Telephone Expenses - Landline |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 50205020 02 |  |  |  |  |  | 4541.05
 |  | Internet Subscription Expense |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 50205030 00 |  |  |  |  |  | 4480
 |  |  |  | Due to BIR - Withholding Tax on Suppliers/Creditors |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 20201010 00 02 |  |  |  |  |  |  |  |  |  |  |  | 563.8100000000001
 |  |  |  | Cash - Modified Disbursement System (MDS), Regular |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10104040 00 |  |  |  |  |  |  |  |  |  |  |  | 8457.24 |  |  |  |  |  | 9021.05
Spreadsheet: 751377d1634065289-highlight-or-list-volunteers-who-having-been-assigned-volunteer-schedulefilterandisna
Sheet: Locations

 |  |  | Monday [NAME] | Tuesday [NAME] | Wednesday [NAME] | Thursday [NAME] | Friday [NAME]
 | Location 1 |  | Volunteer 2 | Volunteer 10 | Volunteer 1 | Volunteer 9 | Volunteer 7
 | Location 2 |  | Volunteer 16 |  | Volunteer 4
 | Location 3 |  |  |  |  |  | Volunteer 8
 | Location 4 |  |  | Volunteer 7 | Volunteer 3
 | Location 5 |  |  |  |  |  | Volunteer 13
 | Location 6
 | Location 7 |  |  | Volunteer 16
 | Location 8
 | Location 9
 | Location 10
 | Location 11
 | Location 12
 | Location 13
 |  |  | Mon Volunteers Unused | Tue Volunteers Unused | Wed Volunteers Unused | Thur Volunteers Unused | Fri Volunteers Unused
 |  |  | Volunteer 7 |  | Volunteer 9 | Volunteer 4 | Volunteer 1
 |  |  | Volunteer 10
 |  |  | Volunteer 12
Spreadsheet: 702943d1604625027-dynamic-drop-down-list-data-validation-issue-for-multi-rowed-table-dynamicdropdown-forumsafe-
Sheet: P List

First Name | Last Name | Job Title | Title | Direct Line | Direct Ext. | [NAME] | Associated Region | Office Name | Office Address 1 | Office Address 2 | City | State | Zip | Office Line | Office Ext.
 |  |  |  |  |  |  | 3 | G - 3 | dropdown for option 1
 |  |  |  |  |  |  | 5 | L - 5 | dropdown for option 2
Spreadsheet: 200340d1355501437-combining-two-data-bases-combine-example
Sheet: Sheet2

Date |  | DATA B
2012-01-01 00:00:00 | [NAME] | xyz
 | bob | xyz
 | [NAME] | xyz
 | [NAME] | xyz |  | Can be deleted
 | [NAME] | xyz
 | wally | xyz
 | [NAME] | xyz
 | [NAME] | xyz
 | sue | xyz
 | indie | xyz
 | [NAME] | xyz
 | jill | xyz
 | [NAME] | xyz
 | vader | xyz
 | [NAME] | xyz
 | [NAME] | xyz
Spreadsheet: 0c3d01da-dd0d-469d-a5a9-3e9d7759aa9f
Sheet: Sheet1

A.  General Information | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5
A0 | Respondent Information (Not for Publication)
A0 | Name: |  | [NAME]
A0 | Title: |  | Institutional Research Analyst
A0 | Office: |  | Office of Academic Assessment and Institutional Research
A0 | Mailing Address: |  | Ball State University, West Quad #200
A0 | City/State/Zip/Country: |  | Muncie, IN 47306
A0 | Phone: |  | (765) 285-8919
A0 | Fax: |  | (765) 285-2374
A0 | E-mail Address: |  | [EMAIL]
A0 | Are your responses to the CDS posted for reference on your institution's Web site? |  |  | Yes | No
 |  |  |  | X
A0 | If yes, please provide the URL of the corresponding Web page:
 | http://www.bsu.edu/web/assessment/stats_commondata.htm
A1 | Address Information
A1 | Name of College/University: | Ball State University
A1 | Mailing Address: | 2000 University Avenue
A1 | City/State/Zip/Country: | Muncie, IN 47306
A1 | Main Phone Number: | (765) 289-1241
A1 | WWW Home Page Address: | www.bsu.edu
A1 | Admissions Phone Number: | (765) 285-8300
A1 | Admissions Toll-Free Phone Number: | (800) 482-4BSU
A1 | Admissions Office Mailing Address: | Office of Admissions, [NAME]
A1 | City/State/Zip/Country: | Muncie, IN 47306
A1 | Admissions Fax Number: | (765) 285-1632
A1 | Admissions E-mail Address: | [EMAIL]
A1 | If there is a separate URL for your school’s online application, please specify: ______________ | www.bsu.edu/admissions
A2 | Source of institutional control (Check only one):
A2 | Public | X
A2 | Private (nonprofit)
A2 | Proprietary
A3 | Classify your undergraduate institution:
A3 | Coeducational college | X
A3 | Men's college
A3 | Women's college
A4 | Academic year calendar:
A4 | Semester | X
A4 | Quarter
A4 | Trimester
A4 | 4-1-4
A4 | [NAME]
A4 | Differs by program (describe):
A5 | Degrees offered by your institution:
A5 | Certificate
A5 | Diploma
A5 | Associate | X
A5 | Transfer Associate
A5 | Terminal Associate
A5 | Bachelor's | X
A5 | Postbachelor's certificate | X
A5 | Master's | X
A5 | Post-master's certificate | X
A5 | Doctoral | X
A5 | First professional
A5 | First professional certificate
Spreadsheet: 00c53247-4da0-4db0-b2f9-03b1fab739fd
Sheet: Sheet1

COURSE TITLE | NO | PROFESSOR | EXAM DATE | EXAM TIME | EXAM ROOM
BUSINESS ORGANIZATIONS | 631 | HUSSEY | 2013-07-18 00:00:00 | 6:00 - 9:00PM | L202
CONFLICTS | 700 | SEALING | 2013-07-22 00:00:00 | 6:00 - 9:00PM | L202
PROFESSIONAL RESPONSIBILITY | 702 | ROBINETTE | 2013-07-22 00:00:00 | 6:00 - 9:00PM | L204
OPT OUT OF EXAMSOFT DEADLINE - July 10th
DEFERRED EXAM / SPECIAL ACCOMMODATION REQUEST DEADLINE  - July 10th
Spreadsheet: 883395d1732020174-formula-error-help-formul-error-v2
Sheet: MİP

Start Date | 2024-11-12 00:00:00 | Finish Date | 2024-11-12 00:00:00
GENEL BİLGİLER
Machine | Product Code | Product Description | Amount
Spreadsheet: john_arnold__15488__Quote Sheet - Final 9-21-01
Sheet: AK Steel (2)

Trader |  | Originator |  | Structurer(s) |  | Customer
Quigley |  | [NAME] |  | [NAME] / [NAME] Alex Hernandez |  | AK Steel
 |  |  |  | x3-6751  / x5-3561 / x54059
 |  |  |  |  |  | [NAME]
Start | Stop |  | Total |  |  | Nymex
Date | Date | Term | MMbtu | NOTES | Pricing Pt. | Offer
2002-04-01 00:00:00 | 2004-03-01 00:00:00 | 2 Y - 0 M |  | Customer expected to transact next week
 |  | Monthly Volumes
 | 2002-04-01 00:00:00 | 2404629
 | 2002-05-01 00:00:00 | 2585924
 | 2002-06-01 00:00:00 | 2443310
 | 2002-07-01 00:00:00 | 2526543
 | 2002-08-01 00:00:00 | 2598306
 | 2002-09-01 00:00:00 | 2555937
 | 2002-10-01 00:00:00 | 2563566
 | 2002-11-01 00:00:00 | 2891563
 | 2002-12-01 00:00:00 | 3055846
 | 2003-01-01 00:00:00 | 2868007
 | 2003-02-01 00:00:00 | 2529225
 | 2003-03-01 00:00:00 | 2641866
 | 2003-04-01 00:00:00 | 2614629
 | 2003-05-01 00:00:00 | 2802924
 | 2003-06-01 00:00:00 | 2653311
 | 2003-07-01 00:00:00 | 2743543
 | 2003-08-01 00:00:00 | 2815306
 | 2003-09-01 00:00:00 | 2765937
 | 2003-10-01 00:00:00 | 2780566
 | 2003-11-01 00:00:00 | 2891563
 | 2003-12-01 00:00:00 | 3055846
 | 2004-01-01 00:00:00 | 2868007
 | 2004-02-01 00:00:00 | 2529225
 | 2004-03-01 00:00:00 | 2641866