tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 121067d1315825405-search-range-and-insert-value-sample1
Sheet: Sheet2

 |  |  |  |  |  |  |  |  |  |  |  | 0 | 5
 |  |  |  |  |  |  |  |  |  |  |  | 0.1 | 6
 |  |  |  |  |  |  |  |  |  |  |  | 0.2 | 7
 |  |  |  |  |  |  |  |  |  |  |  | 0.3 | 8
 |  |  |  |  |  |  |  |  |  |  |  | 0.4 | 9
 |  |  |  |  |  |  |  |  |  |  |  | 0.5 | 10
 |  |  |  |  |  |  |  |  |  |  |  | 0.6 | 11
 |  |  |  |  |  |  |  |  |  |  |  | 0.7 | 12
 |  |  |  |  |  |  |  |  |  |  |  | 0.8 | 13
 |  |  |  |  |  |  |  |  |  |  |  | 0.9 | 14
 |  |  |  |  |  |  |  |  |  |  |  | 1 | 15
 |  |  |  |  |  |  |  |  |  |  |  | 1.1 | 16
 |  |  |  |  |  |  |  |  |  |  |  | 1.2 | 17
 |  |  |  |  |  |  |  |  |  |  |  | 1.3 | 18
 |  |  |  |  |  |  |  |  |  |  |  | 1.4 | 19
 |  |  |  |  |  |  |  |  |  |  |  | 1.5 | 20
 |  |  |  |  |  |  |  |  |  |  |  | 1.6 | 21
 |  |  |  |  |  |  |  |  |  |  |  | 1.7 | 22
 |  |  |  |  |  |  |  |  |  |  |  | 1.8 | 23
 |  |  |  |  |  |  |  |  |  |  |  | 1.9 | 24
 |  |  |  |  |  |  |  |  |  |  |  | 2 | 25
 |  |  |  |  |  |  |  |  |  |  |  | 2.1 | 26
 |  |  |  |  |  |  |  |  |  |  |  | 2.2 | 27
 |  |  |  |  |  |  |  |  |  |  |  | 2.3 | 28
 |  |  |  |  |  |  |  |  |  |  |  | 2.4 | 29
 |  |  |  |  |  |  |  |  |  |  |  | 2.5 | 30
 |  |  |  |  |  |  |  |  |  |  |  | 2.6 | 31
 |  |  |  |  |  |  |  |  |  |  |  | 2.7 | 32
 |  |  |  |  |  |  |  |  |  |  |  | 2.8 | 33
 |  |  |  |  |  |  |  |  |  |  |  | 2.9 | 34
 |  |  |  |  |  |  |  |  |  |  |  | 3 | 35
 |  |  |  |  |  |  |  |  |  |  |  | 3.1 | 36
 |  |  |  |  |  |  |  |  |  |  |  | 3.2 | 37
 |  |  |  |  |  |  |  |  |  |  |  | 3.3 | 38
 |  |  |  |  |  |  |  |  |  |  |  | 3.4 | 39
 |  |  |  |  |  |  |  |  |  |  |  | 3.5 | 40
Spreadsheet: 790045d1659521051-extract-verified-cost-from-string-previous-to-simbol-example-text
Sheet: Hoja1

Text | Cost | Need
Cargo por chatarreo 105.93€ |  |  |  | Extract a number previous to first "€" simbol
Cargo pendiente de valorar
Cargo por chatarreo 500€
Chatarreo pzs NOK en DNN (680.22€)
[NAME] piezas en 8 Horas (8x22=176€) |  | 176
39,54€ - Cargo por pieza NOK
177,08€ (88,54€/unid)
Importe chatarra 4 piezas a 36.12€ |  | 36.12
Coste retrabajo en DNN (retrabajo) 286.2€
1193,07€ (retrabajo en cliente)
Cargo no aceptado
Spreadsheet: bfc43bbe-dc2e-42ba-b204-b8bf4e4ddbfd
Sheet: Sheet1

Early Syphilis Incidence,  by Selected Demographics, Maine 2011, and by Year, Maine 2002-2011 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3
 |  | Number | Rate*
Maine Total |  | 20 | 1.505810924357094
Sex
 | Male | 19 | 2.922793636924421
 | Female | 1 | 0.1474654377880184
Ethnicity
 | Hispanic | 0 | 0
 | Non-Hispanic | 15 | 1.144837165993757
 | Unknown | 5
Race
 | American Indian or [NAME] | 0 | 0
 | Asian, Native Hawaiian or Pacific Islander | 0 | 0
 | Black or African American | 0 | 0
 | White | 15 | 1.18320138008609
 | Multiple races | 0 | 0
 | Unknown | 5
Age Group (yrs)
 | 0-4 | 0 | 0
 | 5--14 | 0 | 0
 | 15-24 | 4 | 2.407477625504818
 | 25-44 | 14 | 4.48569863154151
 | 45-64 | 2 | 0.4822740184518039
 | 65+ | 0 | 0
Year
 | 2002 | 3 | 0.2317557973712712
 | 2003 | 15 | 1.148780913694388
 | 2004 | 2 | 0.1518311212804222
 | 2005 | 3 | 0.2270138970340634
 | 2006 | 16 | 1.210677570835988
 | 2007 | 14 | 1.06285496508901
 | 2008 | 20 | 1.519230418639134
 | 2009 | 14 | 1.061972948514793
 | 2010 | 38 | 2.860668146686029
 | 2011 | 20 | 1.505890289868822
* Rate = number of cases per 100,000 population using the corresponding year census estimate as the denominator.
Data not stratified by sex given small number of cases.
Spreadsheet: 1fe98130-b1a4-471d-85f9-88d59326acaf
Sheet: 18

Product* | January 31 | February 7 | February 14 | February 21 | February 28
Total**
Non-Deliverable Forwards | N/A | N/A | N/A | N/A | N/A
Options | N/A | N/A | N/A | N/A | N/A
Forwards | N/A | N/A | N/A | N/A | N/A
Swaps | N/A | N/A | N/A | N/A | N/A
OTHER | N/A | N/A | N/A | N/A | N/A
TOTAL
Gross notional amount outstanding, February 28 weekly snapshot, by product type, all participant types, tenors and currencies.
*See Data Dictionary for product descriptions and Explanatory Notes for data sources.
**These numbers are estimates.
***N/A indicates that data are not currently available.
The Commission requests feedback on the format and content of this CFTC Swaps Report table. Submit comments to [EMAIL].
Spreadsheet: 439984d1452623710-vacation-tracking-from-an-anniversary-date-from-year-to-year-vacation-tracking-summary1
Sheet: Data

Employee Name | Start | End | Partial day? (vac.hr) | Hrs | Check |  | HOLIDAYS
A | 2015-10-21 00:00:00 | 2015-10-22 00:00:00 | 2 |  |  |  | 2015-01-01 00:00:00
C | 2015-11-16 00:00:00 | 2015-11-17 00:00:00 | N |  |  |  | 2015-01-19 00:00:00
A | 2015-10-23 00:00:00 | 2015-10-24 00:00:00 | n |  |  |  | 2015-02-16 00:00:00
 |  |  |  |  |  |  | 2015-05-25 00:00:00
 |  |  |  |  |  |  | 2015-07-03 00:00:00
 |  |  |  |  |  |  | 2015-09-07 00:00:00
 |  |  |  |  |  |  | 2015-10-12 00:00:00
 |  |  |  |  |  |  | 2015-11-11 00:00:00
 |  |  |  |  |  |  | 2015-11-26 00:00:00
 |  |  |  |  |  |  | 2015-12-25 00:00:00 | Add On as they come
 |  |  |  |  |  |  | 2016-01-01 00:00:00 | ê
Spreadsheet: 710339d1608854404-help-pulling-data-from-a-range-copy-of-attendance-template-w-formula
Sheet: January

Employee Absence Schedule
January |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2021 |  | Tardies | 0.5
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | TOTAL |  |  |  |  | Excused Call-ins | 1
Employee Name | 1 | 2 | 3 | 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 | 31 | CI | T | NCNS | Total Points |  | Unexcused call-ins | 3
[NAME]
[NAME]
[NAME] | T
[NAME]
[NAME] |  |  | NCNS
[NAME]
[NAME]
[NAME] | T
[NAME] |  |  |  |  | T | T | T
[NAME]
[NAME]
[NAME]
[NAME]
[NAME]
[NAME]
Obed Attamah
[NAME]
[NAME]
Keath Grimes
[NAME]
[NAME]
[NAME]
[NAME]
 | [NAME] |  |  |  |  | CI | Call-in |  |  | T | Tardy |  |  | NCNS | Unexcused |  |  | FMLA | Custom 1 |  |  |  | Custom 2
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Call-in
Spreadsheet: 9fbbba32-2e5d-4e44-aa10-4b9a636c93a6
Sheet: Spring 2016

2015-2016 Class Schedule |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | You may select up to three classroom attributes.  Select only course requirements, as the number of available classrooms will be reduced with each attribute selected.
MAEd Low Residency Learning Communities
Spring 2016
Subject | Course and Title | Campus Code & Location | Section | [NAME] | Part of Term | Dates | Days | Times | Credits | Instructor(s) | Instructor ID | FT or Adj | Contract Code | Percentage | Registration Approval | [NAME] | Blackboard Y/N | Campus: [NAME], [NAME], Online, Blended |  |  |  | Cross list?   SUBJ CRSE SEC | Comments
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Classroom Attribute A | Classroom Attribute B | Classroom Attribute C
Spreadsheet: chris_germany__1965__ENA-Reliant Prepay
Sheet: Mar 2002

ENA Purchases from Reliant - March 2002
For deliveries on FGT Zone 2 & 3
[NAME] |  | [NAME][PHONE]     [EMAIL]
Backup ENA Trader |  | [NAME]  [PHONE]  [EMAIL]
[NAME] |  | [NAME]  [EMAIL]
[NAME] |  | [NAME][PHONE]  [EMAIL]
[NAME] |  | [NAME]  [PHONE]  [EMAIL]
Reliant Contracts |  | [NAME]  [PHONE]  [EMAIL]
Reliant Contracts |  | [NAME]  [PHONE]  [EMAIL]
Reliant Settlements |  | [NAME]  [PHONE]  [EMAIL]
Reliant RES Cash Group |  | [NAME]  [PHONE]  [EMAIL]
Reliant RES Cash Group |  | [NAME]  [PHONE]  [EMAIL]
 | Date | Volume | Price [NAME] | GD Post | Price | Total |  | Prepayments | Balance
 |  |  |  |  |  |  |  | Balance from February 2002
Fri | 2002-03-01 00:00:00 | 2000 | [NAME] | 2.515 |  |  |  | 0
Sat |  | 2000 | [NAME] | 2.515 |  |  |  | 0
Sun |  | 2000 | [NAME] | 2.515 |  |  |  | 0
Mon |  | 2000 | [NAME] | 2.515 |  |  |  | 0
Tue |  | 2000 | [NAME] | 2.74 |  |  |  | 0
Wed |  | 2000 | [NAME] | 2.63 |  |  |  | 42000
Thu |  | 2000 | [NAME] | 2.525 |  |  |  | 0
Fri |  | 2000 | [NAME] | 2.72 |  |  |  | 0
Sat |  | 2000 | [NAME] | 2.805 |  |  |  | 0
Sun |  | 2000 | [NAME] |  |  |  |  | 0
Mon |  | 2000 | [NAME] |  |  |  |  | 0
Tue |  | 0 | [NAME] | 2.885 |  |  |  | 0
Wed |  | 0 | [NAME] | 2.93 |  |  |  | 0
Thu |  | 0 | [NAME] | 2.94 |  |  |  | 25000
Fri |  | 0 | [NAME] | 2.775 |  |  |  | 0
Sat |  | 0 | [NAME] | 2.985 |  |  |  | 0
Sun |  | 0 | [NAME] | 2.985 |  |  |  | 0
Mon |  | 0 | [NAME] | 2.985 |  |  |  | 0
Tue |  | 2000 | [NAME] | 3.185 |  |  |  | 0
Wed |  | 2000 | [NAME] | 3.35 |  |  |  | 0
Thu |  | 2000 | [NAME] | 3.32 |  |  |  | 30000
Fri |  | 2000 | [NAME] | 3.2 |  |  |  | 0
Sat |  | 0 | [NAME] | 3.555 |  |  |  | 0
Sun |  | 0 | [NAME] | 3.555 |  |  |  | 0
Mon |  | 0 | [NAME] | 3.555 |  |  |  | 0
Tue |  | 2000 | [NAME] | 3.445 |  |  |  | 0
Wed |  | 2000 | [NAME] | 3.58 |  |  |  | 0
Thu |  | 0 | [NAME]* | 0 |  |  |  | 40000
Fri |  | 0 |  | 0 |  |  |  | 0
Sat |  | 0 |  | 0 |  |  |  | 0
Sun |  | 0 |  | 0 |  |  |  | 0
 |  |  | Sitara deal #1199419
 | **  Estimated Gas Daily Midpoint used for flow date indicated.
Spreadsheet: 218428d1362456350-combining-two-if-functions-together-test_xadieu_ver1
Sheet: Sheet2

Tax | Receipt | Travel | GST | BC (PST) | ON (HST) | QB (PST) | Total
GST | No |  |  |  |  |  | 105
GST | Yes |  |  |  |  |  | 105
HST(BC) | No |  |  |  |  |  | 105
HST(BC) | Yes |  |  |  |  |  | 105
HST(ON) | No |  |  |  |  |  | 105
HST(ON) | Yes |  |  |  |  |  | 105
HST (QB) | No |  |  |  |  |  | 105
HST (QB) | Yes |  |  |  |  |  | 105
 | Total
Spreadsheet: 801222d1666122478-average-if-for-an-average-rating-by-quarter-for-the-sections-example
Sheet: Sheet1

 | Enter Name | Enter Name | Enter Name | Enter Name | Enter Name | Enter Name | Enter Name |  |  |  | Q1 | Q2 | Q3 | Q4
 | Q1 | Q1 | Q1 | Q1 | Q2 | Q2 |  |  |  |  | [NAME] | [NAME] | [NAME] | [NAME]
The Company |  |  |  |  |  |  |  |  |  | The Company (questions 1 - 5) |  |  |  |  |  | I want to enter formulas in here that will automatically calculate the average by quarter
Question1 | 3 | 4 | 3 | 3 | 3 | 3 |  |  |  | The Manager (questions 6-8)
Question2 | 4 | 3 | 4 | 4 | 4 | 4 |  |  |  | Average all
Question3 | 2 | 2 | 2 | 2 | 2 | 3
Question4 | 3 | 3 | 3 | 3 | 3 | 1
Question 5 | 2 | 2 | 2 | 2 | 2 | 2
The Manager
Question 6 | 5 | 4 | 5 | 5 | 5 | 5
Question 7 | 5 | 3 | 5 | 5 | 5 | 5 |  |  |  |  | using office 365
Question 8 | 3 | 5 | 3 | 3 | 3 | 3
Question 9 | 1 | 2 | 1 | 1 | 1 | 1
 | There are more sections than just the two above in real life, for purposes of this example I just used two
Spreadsheet: 802205d1666703811-count-total-occurrences-without-counting-duplicates-2023-interview-tracker-building-
Sheet: Interview Log

Date | [NAME] | NSO | Check In | Scheduled Time | Start | End | Gross Wait Time | Net Wait Time | Interview Length
2023-01-01 00:00:00 |  | [NAME] | 10:16:00 | 10:30:00 | 10:25:00 | 10:47:00
2023-01-01 00:00:00 |  | [NAME] | 11:03:00 | 11:15:00 | 11:16:00 | 11:30:00
2023-01-01 00:00:00 |  | [NAME] | 11:54:00 | 12:00:00 | 11:57:00 | 12:08:00
2023-01-01 00:00:00 |  | [NAME] | 12:08:00 | 12:15:00 | 12:10:00 | 12:16:00
2023-01-01 00:00:00 |  | [NAME] | 12:15:00 | 12:30:00 | 12:17:00 | 12:45:00
2023-01-01 00:00:00 |  | [NAME] | 12:45:00 | 13:00:00 | 12:47:00 | 13:09:00
2023-01-01 00:00:00 |  | [NAME] | 13:23:00 | 14:00:00 | 13:55:00 | 14:10:00
2023-01-01 00:00:00 |  | [NAME] | 13:59:00 | 14:15:00 | 14:15:00 | 14:24:00
2023-01-01 00:00:00 |  | Butler | 15:11:00 | 15:15:00 | 15:15:00 | 15:35:00
2023-01-01 00:00:00 |  | DSO | 08:30:00 | 08:45:00 | 09:10:00 | 09:30:00
2023-01-01 00:00:00 |  | [NAME] | 08:31:00 | 08:45:00 | 08:44:00 | 09:12:00
2023-01-01 00:00:00 |  | [NAME] | 08:59:00 | 09:15:00 | 09:15:00 | 09:40:00
2023-01-01 00:00:00 |  | DSO | 09:14:00 | 09:45:00 | 09:55:00 | 10:20:00
2023-01-01 00:00:00 |  | DSO | 11:23:00 | 11:30:00 | 11:30:00 | 12:20:00
2023-01-02 00:00:00 |  | [NAME] | 11:30:00 | 11:45:00 | 11:50:00 | 12:23:00
2023-01-02 00:00:00 |  | [NAME] | 13:30:00 | 14:00:00 | 14:00:00 | 14:21:00
2023-01-02 00:00:00 |  | DSO | 13:55:00 | 14:30:00 | 14:30:00 | 15:25:00
2023-01-02 00:00:00 |  | Butler | 08:39:00 | 09:00:00 | 09:00:00 | 09:25:00
2023-01-02 00:00:00 |  | [NAME] | 09:40:00 | 09:45:00 | 09:44:00 | 10:10:00
2023-01-02 00:00:00 |  | [NAME] | 11:15:00 | 11:15:00 | 11:15:00 | 11:30:00
2023-01-03 00:00:00 |  | [NAME] | 11:20:00 | 11:30:00 | 11:30:00 | 12:00:00
2023-01-03 00:00:00 |  | Butler | 08:30:00 | 08:45:00 | 08:35:00 | 09:45:00
2023-01-03 00:00:00 |  | DSO | 08:44:00 | 08:45:00 | 09:00:00 | 10:00:00
2023-01-03 00:00:00 |  | Butler | 09:07:00 | 09:15:00 | 09:25:00 | 10:25:00
2023-01-03 00:00:00 |  | Butler | 09:21:00 | 09:30:00 | 10:15:00 | 10:45:00
2023-01-03 00:00:00 |  | DSO | 09:26:00 | 10:00:00 | 11:10:00 | 11:20:00
2023-01-03 00:00:00 |  | Butler | 09:43:00 | 09:45:00 | 10:38:00 | 11:20:00
2023-01-03 00:00:00 |  | Butler | 09:44:00 | 11:00:00 | 11:00:00 | 11:30:00
2023-01-05 00:00:00 |  | DSO | 09:47:00 | 11:00:00 | 11:30:00 | 12:15:00
2023-01-05 00:00:00 |  | Butler | 10:43:00 | 11:00:00 | 11:39:00 | 12:07:00
2023-01-05 00:00:00 |  | Butler | 11:17:00 | 11:30:00 | 11:35:00 | 11:50:00
2023-01-05 00:00:00 |  | [NAME] | 12:35:00 | 12:45:00 | 12:42:00 | 12:53:00
2023-01-06 00:00:00 |  | Butler | 13:00:00 | 13:00:00 | 13:00:00 | 14:10:00
2023-01-06 00:00:00 |  | Butler | 13:17:00 | 13:30:00 | 13:20:00 | 13:45:00
2023-01-06 00:00:00 |  | Butler | 13:58:00 | 14:00:00 | 14:10:00 | 15:00:00
Spreadsheet: 186719d1350169444-itemlist-orderlist-ef218_orderlist
Sheet: ItemList

 | Company | Retailer
 | OrderDate | 10-10-2012
 | OrderNR | 4556
 | ItemNr | ItemDesc | QtyOrder | Price | TotPrice
Sweets
 | 110001 | Item 1 | 5 | 2
 | 110002 | Item 2 |  | 5
 | 110003 | Item 3 |  | 2
 | 110004 | Item 4 | 5 | 1
 | 110005 | Item 5 |  | 3
 | 110006 | Item 6 | 10 | 1
 | 110007 | Item 7 |  | 5
Sodas
 | 110008 | Item 8 |  | 2
 | 110009 | Item 9 |  | 2
 | 110010 | Item 10 | 3 | 2
 | 110011 | Item 11 |  | 2
 | 110012 | Item 12 | 1 | 2
 | 110013 | Item 13 |  | 2
 | 110014 | Item 14 |  | 2
Snacks
 | 110015 | Item 15 |  | 6
 | 110016 | Item 16 |  | 4
 | 110017 | Item 17 | 1 | 2
 | 110018 | Item 18 |  | 5
 | 110019 | Item 19 | 10 | 4
 | 110020 | Item 20 |  | 3
Spreadsheet: 845144d1696667394-filter-by-column-and-by-row-competence-matrix-filter
Sheet: Sheet2

Row Labels | Count of  Nume
c | 1
x | 1
(blank) | 1
(blank) | 1
x | 1
(blank) | 1
(blank) | 1
c | 1
(blank) | 3
c | 1
x | 1
(blank) | 1
(blank) | 2
x | 2
(blank) | 2
(blank)
(blank)
Grand Total | 5
Spreadsheet: 108612d1305645680-collating-data-from-multiple-sheets-wages
Sheet: Chris Price

Date Invoiced | Invoice Number | Invoice Value | Payment Due | Net Amount | CIS Amount | Paid Employee | Paid CIS | Overdue |  | Amounts Match? |  | Yes/No Options
2011-05-08 00:00:00 | - | 400 |  |  |  | Yes | Yes |  |  |  |  | Yes
 |  |  |  |  |  |  |  |  |  |  |  | No
Spreadsheet: 837997d1690579145-get-values-from-connected-columns-in-excel-based-on-multiple-criteria-28072023-excel-forum-solution-
Sheet: Sheet1

Result columns
GOPENH | EWS | Fileds | Data field |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | helper1 | helper2
 |  | 1003 - Government College of Pharmacy 10031 - Pharm D ( Doctor of Pharmacy) |  | GOPENH |  | GSCH |  | GSTH |  | GVJH |  | GNT1H | GNT2H | GOBCH | LOPENH | LSCH | [NAME] | PWDOPENH | PWDRSCH
 |  | 1003 - Government College of Pharmacy 10031 - Pharm D ( Doctor of Pharmacy) |  | 2743 (96.1745367) |  | 4497 (94.1671647) |  | 9109 (89.3679174) |  | 2848 (96.0660092) |  | 3478 (95.3035568) | 4410 (94.2772446) | 4288 (94.3395273) | 1421 (97.8307797) | 4054 (94.6439628) | 3662 (95.0597286) | 16794 (81.2142273) | 17491 (80.4712960)
 |  | 1003 - Government College of Pharmacy 10031 - Pharm D ( Doctor of Pharmacy)
 |  | State Level |  | DEFOPENS |  | EWS
 |  | State Level |  | 4890 |  | 1249
 |  | State Level |  | -93.7076961 |  | -98.0573819
 |  | State Level
 |  | 1003 - Government College of Pharmacy 10031 - Pharm D ( Doctor of Pharmacy) |  | GOPENH |  | GSCH |  | GSTH |  | GVJH |  | GNT1H | GNT2H | GNT3H | GOBCH | LOPENH | LSCH | LSTH | [NAME] | PWDOPENH | PWDROBCH
 |  | 1003 - Government College of Pharmacy 10031 - Pharm D ( Doctor of Pharmacy) |  | 946 (98.4409244) |  | 2395 (96.6092771) |  | 12246 (85.7120925) |  | 1468 (97.7839057) |  | 2283 (96.7401872) | 1454 (97.7984245) | 1674 (97.4944320) | 1071 (98.2424768) | 623 (98.8942020) | 2197 (96.8146159) | 9199 (89.0749561) | 672 (98.8214555) | 10066 (88.0979149) | 13279 (84.6831342)
 |  | 1003 - Government College of Pharmacy 10031 - Pharm D ( Doctor of Pharmacy)
 |  | State Level |  | DEFOPENS |  | TFWS |  | DEFROBCS |  | EWS |  | ORPHAN
 |  | State Level |  | 3101 (95.7300057) |  | 316 (99.3722764) |  | 4880 (93.7076961) |  | 1021 (98.3387194) |  | 49705 (36.3808258)
 |  | State Level
 |  | 1115 - Mandela's Institute of Pharmacy |  | GOPENH |  | GSCH |  | GSTH |  | GVJH |  | GNT1H | GNT2H | GNT3H | GOBCH | LOPENH | LSCH | LSTH | [NAME]
 |  | 1115 - Mandela's Institute of Pharmacy |  | 10006 (88.1048795) |  | 15353 (82.5723830) |  | 16484 (81.6073162) |  | 10265 (87.9411764) |  | 11934 (86.1344749) | 15159 (82.9026150) | 42866 (49.8329621) | 12909 (85.1325805) | 3578 (95.2218601) | 13648 (84.4789798) | 31102 (66.0248119) | 5984 (92.4743268)
 |  | 1115 - Mandela's Institute of Pharmacy
 |  | State Level |  | DEFOPENS |  | TFWS |  | EWS
 |  | State Level |  | 11530 |  | 5516 |  | 6729
 |  | State Level |  | -86.5205507 |  | -93.0508899 |  | -91.7036962
 |  | State Level
Spreadsheet: 39e62831-dd58-4033-829c-6e2bc28e18a3
Sheet: Sheet1

Unnamed: 0 | Goals | Short/ Long Term | Priority | Success Metrics | Obstacles
1 | Targeted Communication | short | high | Survey | resistance by faculty/staff, send same communication thru many differenct channels
2 | SSO Portal/email/naznet | short | high
3 | successful acceptance of zimbra | short | high
4 | Collaboration (faculty) - access to folders | short | high | % of faculty/staff using it | policy regarding storage limit, financial decision on medium
5 | simplify aggregated lay-out, ease of use | short | high | usability assessment groups feedback, help desk call analytics
6 | Student centric - leading through process | short | high
7 | standardized support from ITS (eg. [NAME]) | short | high
8 | Centralized and integrated communication channels | continuing | high
9 | self-service awareness, financial aid, registration, help desk | continuing | high
10 | scheduling college facilities (by students, faculty, staff) | long | high
11 | reduce volumne on help desk | long | high
12 | SSO Access to library services and resources - interface to library systems | long | low
13 | alumni channels | long | pending
Spreadsheet: 107933d1305060909-excel-2007-3-color-scale-ignore-0-values-unit_sales_example-modified-
Sheet: Sheet1

 |  | Red: | >=100%*AVERAGE(Previous Three months):
 |  | Yellow: | <100% and >= 75%*AVERAGE(Previous three months)
 |  | Green: | <75%*AVERAGE(Previous three months)
 |  |  | 2011 |  |  |  |  |  |  |  |  |  |  |  | 2012 |  |  |  |  |  |  |  |  |  |  |  | 2013
 |  |  | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec
 |  | Sales of Product | 0 | 0 | 46 | 58 | 78 | 88 | 89 | 92 | 87 | 105 | 120 | 140 | 125 | 70 | 89 | 98 | 75 | 62 | 50 | 10 | 15 | 7 | 0 | 1 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 | =100%*AVG(Previous three months): |  |  |  | 0
 | =75%*AVG(Previous three months) |  |  |  | 0
Spreadsheet: 173452d1344555804-help-calculating-results-of-last-10-games-and-win-loss-tie-streak-in-standings-workbook-2003-04-nhl-season
Sheet: Conference (NBA)

 |  | Eastern Conference | GP | W | L | T | Pts | GF | GA | [NAME] | Home | Away | RT | OT | Conf | Div | E #
 | 1
 | 2
 | 3
 | 4
 | 5
 | 6
 | 7
 | 8
 | 9
 | 10
 | 11
 | 12
 | 13
 | 14
 | 15
 |  | Western Conference | GP | W | L | T | Pts | GF | GA | [NAME] | Home | Away | RT | OT | Conf | Div | E #
 | 1
 | 2
 | 3
 | 4
 | 5
 | 6
 | 7
 | 8
 | 9
 | 10
 | 11
 | 12
 | 13
 | 14
 | 15
Spreadsheet: 137353d1327073030-how-to-return-value-if-several-conditions-are-met-mobiles
Sheet: DATA

 | DATA
Provider | Date | Number | User | Service | Netto | VAT | Non-taxable | Total
Vip | 2012-01-31 00:00:00 | 091 123 456 | Person 1 | mobile phone | 674.36 |  | 10
Vip | 2012-01-31 00:00:00 | 091 234 567 | Person 2 | mobile phone | 296.94 |  | 35
Vip | 2012-01-31 00:00:00 | 091 345 678 | Person 1 | mobile internet | 40.24 |  | 10
Vip | 2012-01-31 00:00:00 | 091 456 789 | Person 2 | mobile internet | 40.24 |  | 10
Vip | 2012-01-31 00:00:00 | 091 567 890 | Person 2 | MI - iPad | 56.1 |  | 10
T-Mobile | 2012-01-31 00:00:00 | 098 123 456 | Person 1 | mobile internet | 100 |  | 10
T-Mobile | 2012-01-31 00:00:00 | 098 234 567 | Person 2 | mobile phone | 350 |  | 10
T-Mobile | 2012-01-31 00:00:00 | - | Company | interests | 0 |  | 3.72
Vip | 2012-02-29 00:00:00 | 091 123 456 | Person 1 | mobile phone | 100 |  | 10
Vip | 2012-02-29 00:00:00 | 091 234 567 | Person 2 | mobile phone | 2000 |  | 10
Vip | 2012-02-29 00:00:00 | 091 345 678 | Person 1 | mobile internet | 40.24 |  | 10
Vip | 2012-02-29 00:00:00 | 091 456 789 | Person 2 | mobile internet | 100 |  | 10
Vip | 2012-02-29 00:00:00 | 091 567 890 | Person 2 | MI - iPad | 56.1 |  | 10
Vip | 2012-02-29 00:00:00 | - | Company | interests | 0 |  | 2.56
T-Mobile | 2012-02-29 00:00:00 | 098 123 456 | Person 1 | mobile internet | 100 |  | 10
T-Mobile | 2012-02-29 00:00:00 | 098 234 567 | Person 2 | mobile phone | 350 |  | 10
Spreadsheet: 754963d1636602768-repeating-the-values-from-previous-row-whe-a-row-is-all-zeros-nonzero-rows
Sheet: Sheet1

2249 | 0 | 0 | 0 | 0 | 0
2249.5 | 0 | 0 | 0 | 0 | 0
2250 | 60 | 15 | 25 | 0 | 0
2250.5 | 0 | 0 | 0 | 0 | 0
2251 | 0 | 0 | 0 | 0 | 0
2251.5 | 0 | 0 | 0 | 0 | 0
2252 | 0 | 0 | 0 | 0 | 0
2252.5 | 0 | 0 | 0 | 0 | 0
2253 | 0 | 0 | 0 | 0 | 0
2253.5 | 0 | 0 | 0 | 0 | 0
2254 | 0 | 0 | 0 | 0 | 0
2254.5 | 0 | 0 | 0 | 0 | 0
2255 | 30 | 20 | 40 | 10 | 0
2255.5 | 0 | 0 | 0 | 0 | 0
2256 | 0 | 0 | 0 | 0 | 0
2256.5 | 0 | 0 | 0 | 0 | 0
2257 | 0 | 0 | 0 | 0 | 0
2257.5 | 0 | 0 | 0 | 0 | 0
2258 | 0 | 0 | 0 | 0 | 0
2258.5 | 0 | 0 | 0 | 0 | 0
2259 | 0 | 0 | 0 | 0 | 0
2259.5 | 0 | 0 | 0 | 0 | 0
2260 | 0 | 20 | 60 | 20 | 0
2260.5 | 0 | 0 | 0 | 0 | 0
2261 | 0 | 0 | 0 | 0 | 0
2261.5 | 0 | 0 | 0 | 0 | 0
2262 | 0 | 0 | 0 | 0 | 0
2262.5 | 0 | 0 | 0 | 0 | 0
2263 | 0 | 0 | 0 | 0 | 0
2263.5 | 0 | 0 | 0 | 0 | 0
2264 | 0 | 0 | 0 | 0 | 0
2264.5 | 0 | 0 | 0 | 0 | 0
2265 | 0 | 35 | 50 | 15 | 0
Spreadsheet: 227246d1365642016-if-a-cell-contains-codes-listed-i-a-column-it-will-show-its-equivalent-description-delivery-order-format
Sheet: Sheet1

Customer \ [NAME] Name:
Address:
 | ITEM CODE | [NAME] | QUANTITY |  |  | PRICE
 |  |  | CASE | BAG | PIECE | CASE | BAG | PIECE | TOTAL
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
 |  |  |  |  |  |  |  | TOTAL SALES ORDER | 0