tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 594a4f06-a6f4-46d6-af7f-b6af1ad1d396
Sheet: Sheet1

Informació per omplir la fitxa | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6
Orientacions de les Façanes (DB-HE1, [NAME])
 |  |  |  |  | [NAME] | a<60; a0≥300
 |  |  |  |  | Este | 60≤a0<111
 |  |  |  |  | Sureste | 111≤a0<162
 |  |  |  |  | Sur | 162≤a0<198
 |  |  |  |  | Suroeste | 198≤a0<249
 |  |  |  |  | Oeste | 249≤a0<300
L'orientació de qualsevol façana ve donada per la normal (perpendicular) a cadascuna de les façanes
Quadres a omplir pel projectista
Quadres a omplir per l'OLH
Les mitgeres tindran la consideració tècnica com una façana sense obertures
(*) En les cobertes, Utotal = ([NAME]. x U) part massissa + (Sup. x U) lluernaris / Sup. part mass. + Sup. [NAME]
≤ 0,41 zones climàtiques B i C,   i   ≤ 0,35 zones climàtiques D i E
En expedients [NAME] sol habitatge, pertanyent a un edifici plurifamiliar, el càlcul del percentatge
per façana (buit/total sup. [NAME]), es farà per les superfícies que corresponguin a aquest
habitatge per a cada orientació a rehabilitar.
En la cel·la per definir [NAME], quan es refereixi a un edifici, s'assenyalarà, quan
no sigui comunitària, [NAME] sigui [NAME] la totalitat dels habitatges a rehabilitar.
Spreadsheet: 472852d1469808297-pivot-table-with-calculated-item-with-two-rows-label-pivot-table-with-calculated-item-with-two-rows-label-pivot-problem
Sheet: Sheet1

Group | Sub Group | Year | Sales
Braking | Pads | 2015 | 10 |  |  | Pivot Table - Showing All subgroup |  |  |  |  |  |  |  | I want below in Pivot
Braking | Disc | 2015 | 23
Braking | Calliper | 2015 | 54 |  |  | Sum of Sales |  | Year
Fliters | Air | 2015 | 60 |  |  | Group | Sub Group | 2015 | 2016 | [NAME] | Grand Total |  |  | Group | Sub Group | Year | Total
Fliters | Oil | 2015 | 432 |  |  | Braking | Air |  |  | 0 | 0 |  |  | Braking | Calliper | 2015 | 54
Fliters | Pollen | 2015 | 76 |  |  |  | Calliper | 54 | 45 | -9 | 90 |  |  |  |  | 2016 | 45
Fliters | Fuel | 2015 | 30 |  |  |  | Disc | 23 | 32 | 9 | 64 |  |  |  |  | Varrinance | -9
Braking | Pads | 2016 | 20 |  |  |  | Fuel |  |  | 0 | 0 |  |  |  | Disc | 2015 | 23
Braking | Disc | 2016 | 32 |  |  |  | Oil |  |  | 0 | 0 |  |  |  |  | 2016 | 32
Braking | Calliper | 2016 | 45 |  |  |  | Pads | 10 | 20 | 10 | 40 |  |  |  |  | Varrinance | 9
Fliters | Air | 2016 | 76 |  |  |  | Pollen |  |  | 0 | 0 |  |  |  | Pads | 2015 | 10
Fliters | Oil | 2016 | 120 |  |  | Braking Total |  | 87 | 97 | 10 | 194 |  |  |  |  | 2016 | 20
Fliters | Pollen | 2016 | 34 |  |  | Fliters | Air | 60 | 76 | 16 | 152 |  |  |  |  | Varrinance | 10
Fliters | Fuel | 2016 | 56 |  |  |  | Calliper |  |  | 0 | 0 |  |  | Braking Total |  |  | 194
 |  |  |  |  |  |  | Disc |  |  | 0 | 0 |  |  | Fliters | Air | 2015 | 60
 |  |  |  |  |  |  | Fuel | 30 | 56 | 26 | 112 |  |  |  |  | 2016 | 76
 |  |  |  |  |  |  | Oil | 432 | 120 | -312 | 240 |  |  |  |  | Varrinance | 16
 |  |  |  |  |  |  | Pads |  |  | 0 | 0 |  |  |  | Fuel | 2015 | 30
 |  |  |  |  |  |  | Pollen | 76 | 34 | -42 | 68 |  |  |  |  | 2016 | 56
 |  |  |  |  |  | Fliters Total |  | 598 | 286 | -312 | 572 |  |  |  |  | Varrinance | 26
 |  |  |  |  |  | Grand Total |  | 685 | 383 | -302 | 766 |  |  |  | Oil | 2015 | 432
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2016 | 120
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Varrinance | -312
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Pollen | 2015 | 76
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2016 | 34
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Varrinance | -42
 |  |  |  |  |  |  |  |  |  |  |  |  |  | Fliters Total |  |  | 572
 |  |  |  |  |  |  |  |  |  |  |  |  |  | Grand Total |  |  | 766
Spreadsheet: 328540d1403941711-formula-to-sum-by-month-and-financial-year-sum-by-mth-and-financial-year
Sheet: July to June

If your Financial Year is From April to Mar
Year | SubTotal by FinYear Prod1 | SubTotal by FinYear Prod2 | SubTotal by FinYear Prod3 | SubTotal by FinYear Prod4 | Total by FinYear |  | Monthly Total by Fin. Year Across All Products | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec
12/13
13/14
14/15
1. [NAME] for calculating given income for given month in financial year across all products.
2. [NAME] for calculating given income for given financial year for given product.
In | Prod1 | Prod2 | Prod3 | Prod4
2012-08-01 00:00:00 |  |  | 1760 | 720
2012-11-03 00:00:00 |  | 300 |  | 720
2012-05-05 00:00:00 | 200 |  | 1760
2013-07-02 00:00:00 |  |  |  | 425
2013-09-14 00:00:00 | 2337.5
2014-02-25 00:00:00 |  |  | 1760 | 720
2014-06-02 00:00:00 |  | 550
2014-12-25 00:00:00 |  |  |  | 240
2014-01-02 00:00:00 |  |  | 1116
2014-02-25 00:00:00 | 800
2014-06-02 00:00:00 |  | 350 |  | 550
Spreadsheet: 83314d1283318517-offset-incorporating-max-or-large-fn-copy-of-example
Sheet: Sheet2

 | 1st
 | 2nd
 | 3rd
 | 4th
 | 5th
 | 6th
 | 7th
 | 8th
Spreadsheet: 802719d1666986105-can-some-one-help-with-a-multi-criteria-index-match-excel-simple-array-logic-please
Sheet: Schedule Data

Activity ID | Activity Name | Activity Type | BL Project Duration | Current Duration | BL Project Start | BL Project Early Start | BL Project Late Start | BL Project Actual Start | [NAME] | Early Start | Start | BL Project Finish | BL Project Early Finish | BL Project Late Finish | BL Project Actual Finish | [NAME] | Early Finish | Finish
1.1 | Clean Toilets | Start Milestone | 1199 | 1199 | 2021-03-15 00:00:00 | 2022-02-28 00:00:00 | 2022-03-03 00:00:00 | 2021-03-15 00:00:00 | 2021-03-15 00:00:00 | 2022-09-30 00:00:00 | 2021-03-15 00:00:00 | 2026-01-02 00:00:00 | 2026-01-02 00:00:00 | 2026-01-02 00:00:00 |  | 2026-01-02 00:00:00 | 2026-01-02 00:00:00 | 2026-01-02 00:00:00
2.1 | Make Cups of tea | Task Dependent | 1123 | 1123 | 2021-07-05 00:00:00 | 2022-02-28 00:00:00 | 2022-03-03 00:00:00 | 2021-07-05 00:00:00 | 2021-07-05 00:00:00 | 2022-09-30 00:00:00 | 2021-07-05 00:00:00 | 2026-01-02 00:00:00 | 2026-01-02 00:00:00 | 2026-01-02 00:00:00 |  | 2026-01-02 00:00:00 | 2026-01-02 00:00:00 | 2026-01-02 00:00:00
3.1 | Go to work | Finish Milestone |  |  | 2021-08-12 00:00:00 | 2021-08-10 00:00:00 | 2021-08-14 00:00:00 | 2021-08-13 00:00:00 | 2021-08-11 00:00:00 | 2021-09-11 00:00:00 | 2021-09-12 00:00:00 | 2022-11-12 00:00:00 | 2022-11-13 00:00:00 | 2022-11-14 00:00:00 | 2022-11-15 00:00:00 | 2022-11-16 00:00:00 | 2022-11-17 00:00:00 | 2022-11-18 00:00:00
Spreadsheet: 212260d1360079304-splitting-known-range-based-on-cell-values-book1
Sheet: Sheet1

 |  |  |  |  | This:
 | 1 | OUT |  |  | OUT-A-D-C-B-E-IN-OUT-B-A-E-C-D-IN
 | 33 | A
 | 12 | D
 | 7 | C |  |  | Automatically split into this:
 | 24 | B |  |  | OUT-A-D-C-B-E-IN | OUT-B-A-E-C-D-IN |  | Each range is delimited by the "OUT" & "IN" values
 | 22 | E |  |  | 1 | 6 | 3 | 5
 | 13 | IN
 | 44 | OUT
 | 15 | B
 | 19 | A |  |  | Both green and blue ranges could be of any size but each will have an "OUT" & "IN" at the start and end.
 | 6 | E
 | 64 | C |  |  | So rather than have the whole data range displayed in full as "F3" I want to split into two displayed ranges as "F7" & "G7" and also output the minimum value for each range separately.
 | 37 | D
 | 72 | IN
 | 9 | OUT
 | 33 | A
 | 12 | D
 | 3 | C
 | 24 | B
 | 22 | E
 | 13 | IN
 | 44 | OUT
 | 15 | B
 | 19 | A
 | 5 | E
 | 11 | C
 | 37 | D
 | 72 | IN
Spreadsheet: 714161d1611127152-sumproduct-iferror-help-needed-forumhelp
Sheet: ENTRY

NUMBER | serial | ext | OUTPUT_survey | totalext | crop | cropext | cultivator
721468155261
968047478678
558862288012
597882830394
399900960516
394588931704
214880810005
840352530148
827853029063
363276262465
472116109840
888443886880
483278995489
458020255975
385291345637
507145249800
994588620209
897818448887
350910187470
635340796248
342276210202
709310903391
274726168458
989685953421
507468221728
698122155915
404673635421
576977801502
416252875853
201328094894
881700929090
940465231889
780600840974
420476284557
740252787736
573639020337
573275752520
607424311888
763383563525
987906951019
655773911445
732333003115
963258385708
494728102774
505632342203
245755630955
603386751964
810829261815
703539890657
561598098569
619313011545
693578007959
430570964109
679224591379
325610712737
630928545676
937167810080
371226046753
740222514316
611912683888
885243644294
554777273528
552529500854
959632508807
358499405281
256242713615
955858359065
826706848246
625546448059
315815792660
893378791115
823757444311
447249375852
707814348159
590016634753
594044027725
893336946397
822769047145
203048866149
716800274959
545440484267
477644154278
402418208184
556515541498
766456060526
318109223507
633884781867
501173918273
587779773640
352912009909
955463425027
652885776075
573027861381
610655245644
735700984298
370464426681
237636028359
762818705508
643573434719
964631323046
990727020614
679478590938
968167010499
868241651090
654384006450
734739314878
776890526946
867959747088
468727892883
912543297977
402930281417
622686104331
623914051773
451036809220
920201997069
908428507962
850821400940
252889501962
386797707260
375779898935
861541642277
495205971521
605315820358
279071201872
899807296688
824415066093
644546513242
829412958589
701862963251
317390933614
688282937240
891008501313
425358764814
383500920069
707848393916
878736280278
451828146705
688170502234
481347258638
866521427291
544817108103
424871238953
758601256055
535286845884
611729210757
516519797999
633625335557
772245648352
409207086978
564033834134
837607689065
782226321970
607915727072
908921340810
315609231337
519701877407
604498111914
381807369641
556595317945
289141454821
675361867392
960670905959
541398733094
986135748691
586285919483
362968736694
768964097182
436443767411
721297532815
904704913240
692959113936
723061128124
349042051324
987294550265
416346574784
643433756681
476790809364
259853454017
317550675147
713722500483
963483740465
257211302149
627068500504
418064932515
330934732470
Spreadsheet: 236677d1368941199-optimize-wells-with-24-hour-clock-well-on-off-timings
Sheet: Sheet1

08:00:00 | well 1 | 30 | 90
 | well 2 | 60 | 60
 | well 4 | 15 | 120
 | well 1 | 30 | 90
 | well 2 | 60 | 60
 | well 3 | 1440 | 0
 | well 4 | 15 | 120
 | well 1 | 30 | 90
 | well 2 | 60 | 60
 | well 3 | 1440 | 0
 | well 4 | 15 | 120
Spreadsheet: 852203d1702306614-need-help-converting-a-google-sheets-formula-to-excel-ks-schedule-12112023
Sheet: HP's

HP |  | Total hours
Time to Print | Job # | Line # | Customer | QTY | H | W | Material | Sides to Print | [NAME] | Due_Date | Est. usage | PRESS | Notes
 | 242111 | 1 | Caleres | 4050 | 28 | 47 | PAP-SO-1374 - FOAMCORE 3/16IN WHITE 48X96 | 2 | 5-Pass | 2024-01-15 00:00:00 |  | HP | For production quote- [NAME]
 | 242695 | 1 | SupplyLogic | 47 | 42 | 42 | ART-4399 - WHT 70/30 PERF VINYL 54X300 | 1 | 5-Pass | 2023-12-01 00:00:00 |  | HP
 | 242683 | 1 | Ad Trends Advertising | 5 | 16 | 94 | ART-4399 - WHT 70/30 PERF VINYL 54X300 | 1 | 5-Pass | 2023-12-01 00:00:00 |  | HP
Spreadsheet: 93190d1292792435-dynamic-report-linked-to-pivot-table-prod-scheduling-modified-
Sheet: SUMMARY

 |  |  |  |  | MACHINE TYPE
ORD NO | START DATE | END DATE | No OF DAYS | QTY | TYPE-A | TYPE-B | TYPE-C |  | NOTE
 |  |  |  |  | 780 |  |  |  | 1 | THIS REPORT IS DERIVED FROM PIVOT-2 SHEET.
 |  |  |  |  | 288 |  |  |  | 2 | IN THIS DIFFERENT FORMULA WERE USED AS ABSOLUTE DATA
 |  |  |  |  |  |  |  |  | 3 | THE LINKED PIVOT TABLE IS [NAME], EX. IF WE ADD ANY NEW ORDER
 |  |  |  |  |  |  |  |  |  | IN THE MASTER SHEET, ON REFRESING, THE PIVOT TABLE UPDATE NEW
 |  |  |  |  |  |  |  |  |  | ORD NUMBER
 |  |  |  |  |  |  |  |  | 4 | ALSO IN THE COLUMN A THE ORD NO DETAILS ARE TAKEN FROM THE LABELS IN THE
 |  |  |  |  |  |  |  |  |  | PIVOT TABLE.  IN THIS REPORT WE HV USED ABSOLUTE VALUE BUT WHEN IT IS [NAME]
 |  |  |  |  |  |  |  |  |  | TO PIVOT, WE NEED IT TO BE DYNAMIC.
 |  |  |  |  |  |  |  |  | 5 | ALSO I AM NOT ABLE TO GET THE TOTAL QTY UNDER EACH TYPE OF MACHINES AS SHOWN
Crteria |  |  |  |  |  |  |  |  |  | IN THE LEFT SIDE REPORT IN F3:H10 RANGE.
MONTH | DATE | M/C TYPE | M/C NO | ORD NO | OUT PUT
 |  | TYPE-B |  | ORD-3 |  |  |  |  | WHAT I NEED IS
Formulae
 |  |  |  |  |  |  |  |  | 1 | FORMULAS IN THIS SHEET SHOULD BE DYNAMIC AND SELECT RANGES AS PER THE PIVOT TABLE
 |  |  |  |  |  |  |  |  | 2 | THE USER SHOULD NOT DO ANYTHING MANUALLY TO GET THIS REPORT BY ADJUSTING THE RANGES
 |  |  |  |  |  |  |  |  |  | MANUALLY.
Spreadsheet: 029e172b-3e34-49d3-b66e-886bf2df91f7
Sheet: CPA-2

U.S. DEPARTMENT OF AGRICULTURE   Natural Resources Conservation Service |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | NRCS-CPA-2 9-13
 |  | EVALUATING IMPLEMENTATION OF THE FARMLAND PROTECTION ACT (FPPA)  ANNUAL REPORT
STATE: | Fiscal Year: | Date of Report:
Person Completing Report: |  | FEDERAL  AGENCY  ASSISTED
 |  | I | II | III | IV | V | VI | VII | VIII | IX | X | XI | XII | XII | XIV | XV | XVI | XVII | TOTAL
Federal Agency Reporting |  | NRCS | HUD | FHWA | FEMA | RD | EPA | FAA | OSM | RUS | DE | HRSA | VA | EDA | DOT
A. AD-1006 and  CPA-106 requests received
B. AD-1006 and CPA-106 forms completed
C. AD-1006 and CPA-106 returned by agency
D. Farmland Conversions:
1. Total land - acres proposed
Total land - acres converted
2. Total important farmland - acres proposed
Total important farmland - acres converted
3. Prime and [NAME] farmland - acres proposed
Prime and [NAME] farmland - acres converted
4. State and Local farmland - acres proposed
State and Local farmland - acres converted
5. Average weighted relative value proposed
Average weighted relative value converted
E. Corridors evaluated (number)
F. Proposals with at least one alternative in addition to number proposed |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
[NAME] where local LESA was available |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
[NAME] where a local LESA was used for evaluation |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
[NAME] systems on State Conservationist list |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
J. Land evaluation systems developed (total in state): |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
[NAME] (Comments) |  | NRCS |  | Natural Resources Conservation Service |  |  |  |  |  | FAA |  | Federal Aviation Administration
 |  | HUD |  | Housing and Urban Development |  |  |  |  |  | OSM |  | Office of Surface Mining
 |  | FHWA |  | Federal Highway Administration |  |  |  |  |  | RUS |  | Rural Utilities Service
 |  | FEMA |  | Federal Emergency Management Agency |  |  |  |  |  | DE |  | Department of Energy
 |  | RD |  | Rural Development |  |  |  |  |  | EDA |  | Economic Development Agency
 |  | EPA |  | Environmental Protection Agency |  |  |  |  |  | HRSA |  | Health Resources and Services Administration
 |  | DOT |  | Department of Transportation |  |  |  |  |  | VA |  | Veterans Administration
 |  | ARS |  | Agricultural Research Service |  |  |  |  |  | USACE |  | Army Corps of Engineers
 |  | BIA |  | Bureau of Indian Affairs |  |  |  |  |  | BLM |  | Bureau of Land Management
 |  | BOP |  | Bureau of Prisons |  |  |  |  |  | BOR |  | Bureau of Reclamation
 |  | CBP |  | Customs and Border Protection |  |  |  |  |  | DOA |  | Department of Army
Spreadsheet: tracy_geaccone__40259__C0366-111727
Sheet: Dept_100158

ENRON PROPERTY & SERVICES CORP
1400 Smith Street
Houston, Texas   77251 - 1188
MONTHLY INVOICE DETAIL
PHONE OPERATORS - Dept. 100158
June, 2001
0366  EOC - Executive
Date | Ticket Number | Work Order | Service Name | Service Description | # [NAME] | Unit Cost | UOM | Service | Ticket
 |  |  |  |  |  |  |  | Total | Total
 |  |  | R/C 111727
2001-06-21 00:00:00 | PHN2001/06-0366/111727 |  | Work Place | Work Place Count | 7 | 3.75 | /MO | 26.25
 |  |  |  |  |  |  | Ticket Total |  | 26.25
 |  |  |  |  |  |  | Total for R/C: 111727 |  | 26.25
 |  |  |  |  |  |  | Total for Dept_100158 |  | 26.25
Spreadsheet: 453564d1459359992-cant-copy-formula-down-16-03-08-formulaire-des-prix
Sheet: Goutte

 | La goutte d'or
 | Produit | Status | Code | Prix | Qté | /Kg | Marque | Provenance | Note
 | Huile de tournesol Vrac |  |  | 70.42 | 7.31 |  | [NAME] d'or | Québec
 | Huile d'olive extra vierge 1L |  |  | 9.78 | 1 |  | [NAME] d'or | Tunisie
 | Huile d'olive extra vierge Vrac |  |  | 74.5 | 7.22 |  | [NAME] d'or | Tunisie
 | [NAME] |  |  | 42.78 | 6.2 |  | [NAME] d'or
 | [NAME] |  |  | 62 | 6.52 |  | [NAME] d'or |  | 6%, 8 étoiles
 | [NAME] cidre 5% |  |  | 35 | 7.5 |  | [NAME] d'or | Ontario | 0.05
Spreadsheet: 106222d1303397933-counting-pages-and-lines-added-issue-copy-of-example1
Sheet: Sheet1

5:9 – 5:22
9:7 – 9:21
10:15 – 12:1
12:22 – 13:21
14:11 – 14:14
14:18 – 15:4
16:3 – 17:14
18:9 – 19:17
19:21 – 20:15
20:18 – 21:15
21:18 – 22:6
22:9 – 23:5
23:8 – 24:15
24:18 – 25:12
25:15 – 26:1
26:7 – 26:23
27:11 – 27:13
27:16 – 28:6
28:9 – 28:15
Spreadsheet: 170213d1343210203-if-to-work-when-cell-blank-also-testing
Sheet: Data

GBP | 1
Euro | 1.2156
USD | 1.5774
Client Code | Client Name | Partner | Yearly Fee | Currency | GBP Yearly Fee | From | To | Change Reason | a | b | c | 2012-01-31 00:00:00 | 2012-02-28 00:00:00 | 2012-03-31 00:00:00 | 2012-04-30 00:00:00 | 2012-05-31 00:00:00 | 2012-06-30 00:00:00 | 2012-07-31 00:00:00 | 2012-08-31 00:00:00 | 2012-09-30 00:00:00 | 2012-10-31 00:00:00 | 2012-11-30 00:00:00 | 2012-12-31 00:00:00 | 2013-01-31 00:00:00 | 2013-02-28 00:00:00 | 2013-03-31 00:00:00 | 2013-04-30 00:00:00 | 2013-05-31 00:00:00 | 2013-06-30 00:00:00 | 2013-07-31 00:00:00 | 2013-08-31 00:00:00 | 2013-09-30 00:00:00 | 2013-10-31 00:00:00 | 2013-11-30 00:00:00 | 2013-12-31 00:00:00
 | #N/A |  | 180000 | GBP | 180000 | 2012-01-01 00:00:00 | 2012-04-01 00:00:00 | Fee Increase |  |  |  | 15000 | 15000 | 15000 | 15000 | 15000 | 15000 | 15000 | 15000 | 15000 | 15000 | 15000 | 15000 | 15000 | 15000 | 15000 | 15000 | 15000 | 15000 | 15000 | 15000 | 15000 | 15000 | 15000 | 15000
 | #N/A |  | 200000 | GBP | 200000 | 2012-07-01 00:00:00 | 2014-01-01 00:00:00 | Fee Increase |  |  |  |  |  |  |  |  |  | 16666.66666666667 | 16666.66666666667 | 16666.66666666667 | 16666.66666666667 | 16666.66666666667 | 16666.66666666667 | 16666.66666666667 | 16666.66666666667 | 16666.66666666667 | 16666.66666666667 | 16666.66666666667 | 16666.66666666667 | 16666.66666666667 | 16666.66666666667 | 16666.66666666667 | 16666.66666666667 | 16666.66666666667 | 16666.66666666667
Fee Increase
Fee Decrease
Cancelled
Spreadsheet: 838932d1691523285-formula-to-add-values-formula
Sheet: Sheet1

N/L Code | Dept | April | May | June | July | August | September | October | November | December | January
4000 | 420 | 67016 | 80039 | 36178 | 17492 | 5983 | 34879 | 24475 | 57024 | 55875 | 61789
4100 | 420 | 69128 | 92872 | 28088 | 95711 | 31898 | 80297 | 66815 | 47887 | 60620 | 94833
4110 | 430 | 25581 | 98731 | 34410 | 90391 | 57264 | 21288 | 98903 | 20298 | 94604 | 19540
4120 | 425 | 82564 | 49471 | 30213 | 78961 | 42718 | 12936 | 51293 | 87438 | 56095 | 995
5000 | 325 | 67081 | 37242 | 76643 | 43313 | 67088 | 48467 | 64183 | 87134 | 58871 | 68231
4000 | 420 | 47272 | 74324 | 53564 | 17349 | 23294 | 49331 | 66031 | 28908 | 71043 | 44912
5110 | 420 | 1914 | 9428 | 3083 | 48758 | 85421 | 27852 | 6523 | 45208 | 45481 | 18760
5120 | 420 | 43677 | 62098 | 57197 | 35968 | 37256 | 52959 | 39469 | 93280 | 21122 | 66919
 | Code | 4000
 | Dept | 420
 | Month | June
 | Answer
Spreadsheet: michelle_lokay__26699__imball0112
Sheet: burlington

56423
Day | Measured | Scheduled | Imbal
1 | 150014 | 149436
2 | 160216 | 158454
3 | 159349 | 165965
4 | 155848 | 155735
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
 |  |  |  |  |  |  | 20
2001-11-30 00:00:00 |  |  | -23010 |  |  |  | 530
2001-12-04 00:00:00
 |  |  |  |  |  |  | 5989
CBS Volume
 |  |  | -10969
Spreadsheet: 06418a6d-26ec-4f85-84eb-c14399c6840c
Sheet: FACULTY INFORMATION FORM

Please use capital letters & no punctuation | EXAMPLE | class 1 info | class 2 info | class 3 info | class 4 info | class 5 info | class 6 info
Last Name | LOGAN
First Name | SARAH
MI | M
Printed Course Prefix (e.g. NUR, RNSG) and Number | PSY3303
Printed Date/Time (e.g. MW 08:00 AM, TR 12:30 PM or MWF 18:00 PM) | TR 18:00 PM
Bubbled in Meeting Days (MTWRFSN) NO [NAME] or Spaces | TR
In the Classroom Survey = Face  OR  Online Survey = Online | Face
Eight Week Course = Y (yes) or N (no).    If YES… 1 for first eight weeks or 2 for second eight weeks | Y-2
For On-line courses ONLY - Print course title. In addition, please provide a class roster with [NAME] "username@angelo .edu" with your FIF.  Dropped students can be withdrawn later. | Learning  and Cognition
Objectives:  (Scale - M = Minor or No Importance,  I = Important,                              E = Essential) | M, I, E | M, I, E | M, I, E | M, I, E | M, I, E | M, I, E | M, I, E
1.  Gaining factual knowledge (terminology, classifications, methods,       trends) | E
2.  Learning fundamental principles, generalizations, or theories | E
3.  Learning to apply course material (to improve thinking, problem       solving,  and decisions) | E
4.  Developing specific skills, competencies, and points of view needed       by professionals in the field most closely related to this course | I
5.  Acquiring skills in working with others as a member of a team | I
6.  Developing creative capacities (writing, inventing, designing,       performing in art, music, drama, etc.) | M
7.  Gaining a broader understanding and appreciation of       intellectual/cultural activity (music, science, literature, etc.) | M
8.  Developing skill in expressing oneself orally or in writing | M
9.  Learning how to find and use resources for answering questions or       solving problems | M
10.  Developing a clearer understanding of, and commitment to, personal         values | M
11.  Learning to analyze and critically evaluate ideas, arguments,         and points of view | M
12.  Acquiring an interest in learning more by asking questions and         seeking answers | M
[NAME] (e.g. NUR, RNSG) | PSY
Discipline codes: Nursing = 5116                            (4 digits) | 4200
[NAME] (e.g. 800, 1230, or 1800) | 800
Bubbled Course Number                                                 (4 digits) | 3303
Enrollment | 23
NO Local Code for NURSING                                     Leave Blank
Long (L)  Forms | L | L | L | L | L | L | L
Number of Additional Questions to be answered on the Survey  ([NAME]. number of Additional questions that can be asked for Long form = 19 & Short form = 10) | 12
Is this class [NAME]?   Y or N | N
Spreadsheet: 126620d1319779522-isna-in-array-formula-problem-ranking-report
Sheet: PR

 |  | PR Report
SEOT | Keyword | URL
Spreadsheet: 8924ba11-d0ca-4f44-8711-70c592a38d42
Sheet: Sheet1

analytica 2012 - Aussteller Liste | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5
 | Suche über Produkt- und Dienstleistungsverzeichnis (5 [NAME]):
 | 2 Analytik 2.4 Spektroskope 2.4.13 Laser-Spektrometer
Nr. | Firma | Land | Ort | PLZ | Halle/Stand
1 | Fraunhofer-Institut für Physikalische Messtechnik IPM | Deutschland | Freiburg | 79110 | A1.433/530
2 | [NAME] Analysentechnik | Deutschland | Wegberg | 41844 | A1.434
3 | IMM Photonics GmbH | Deutschland | Unterschleißheim | 85716 | A2.335
4 | PAS-Analytik GmbH | Deutschland | Hamburg | 22419 | B2.430/6
5 | TOPTICA Photonic AG | Deutschland | Gräfelfing | 82166 | A1.400