tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: louise_kitchen__22554__Hot List Update 07-24-01 - Management
Sheet: E-Commerce -50

Deal Description Sheet - 7/24/01
[NAME]
Project Name | Lead Originator | Counterparty | Description | Potential Valuation | Last Customer Contact | Probability | Expected Closing (Month/Year) | Weekly Updates / Comments
[NAME] | [NAME] | EOTT | Back office accounting services. | *$500,000 | 2001-07-13 00:00:00 | 0.25 | 2001-10-01 00:00:00 | EOTT met HMS in mid-June.  ENA has reviewed ATS proposal.  ENA will work with ATS to re-submit a more competitive proposal.  Meeting scheduled for July 25th.
Callon | [NAME] | Callon | Outsourcing | 100000 | 2001-07-14 00:00:00 | 0.1 | 2001-10-01 00:00:00 | Rescheduled meeting with COO for August.
[NAME] | [NAME] | Pure Resources | Integrated outsourcing products. | *$250,000 | 2001-06-11 00:00:00 | 0.25 | 2001-12-01 00:00:00 | Met with Pure senior management on 6/29.  Pure executive meeting on 7/2.  [NAME] has signed a CA and data gathering trip is planned.
Gather Company | [NAME] | Gather Company | Monetization and metering services. | 200000 | 2001-05-10 00:00:00 | 0.25 | 2001-12-01 00:00:00 | Follow up meeting in July, 2001.
Running Man | [NAME] | Marathon | Integrated outsourcing products. | *$1,000,000 | 2001-06-11 00:00:00 | 0.1 | 2001-12-01 00:00:00 | Meeting scheduled for August 2nd with VP marketing.
 |  |  |  |  |  |  |  | *Accrual
Spreadsheet: 05afdb2b-7a4d-4de9-9cc0-1b041ac3c442
Sheet: Sheet1

Date | Sport | Opponent | Time | Results
08/30/2014 | Football | vs. Alabama (Chick-fil-A Kickoff Game, Atlanta, Ga.) | 12:00 AM | TBA
09/06/2014 | Football | Towson | 12:00 AM | TBA
09/13/2014 | Football | at Maryland | 12:00 AM | TBA
09/20/2014 | Football | Oklahoma* | 12:00 AM | TBA
10/04/2014 | Football | Kansas* | 12:00 AM | TBA
10/11/2014 | Football | at Texas Tech* | 12:00 AM | TBA
10/18/2014 | Football | Baylor* | 12:00 AM | TBA
10/25/2014 | Football | at Oklahoma State* | 12:00 AM | TBA
11/01/2014 | Football | TCU* | 12:00 AM | TBA
11/08/2014 | Football | at Texas* | 12:00 AM | TBA
11/20/2014 | Football | Kansas State* (Thursday) | 12:00 AM | TBA
11/29/2014 | Football | at Iowa State* | 12:00 AM | TBA
Spreadsheet: 103759d1301480042-joining-two-lists-and-highlighting-lowest-value-coin_sfs_excel_example-2-
Sheet: Output

 | ARTICLE_ID | M0 | 04/2011 | 05/2011 | 06/2011 | 07/2011 | 08/2011 | 09/2011
 |  |  |  |  |  |  |  |  |  |  | I want to have in column A under Article ID so starting row 2
 |  |  |  |  |  |  |  |  |  |  | list of products (A1, A2 etc) based on columns A in Tabs
 |  |  |  |  |  |  |  |  |  |  | Forecast and Operations. No duplicates
 |  |  |  |  |  |  |  |  |  |  |  | value not in "Forecast" table
 |  |  |  |  |  |  |  |  |  |  |  | value not in "Operations" table
Spreadsheet: 376099d1423492075-lookup-multiple-lists-with-unique-part-numbers-for-total-quantity-martials-lists-temp
Sheet: Parts 1

Part Number | Qty
10001 | 0
10002 | 0
10003 | 0
10004 | 0
10005 | 0
10006 | 0
10007 | 0
10008 | 1
10009 | 0
10010 | 0
10011 | 2
10012 | 0
10013 | 4
10014 | 0
10015 | 5
10016 | 21
10017 | 0
10018 | 0
10019 | 0
10020 | 5
Spreadsheet: 708027d1607591411-how-to-report-the-top-20-and-bottom-20-of-a-data-table-report-with-2-conditions-dashboard
Sheet: SPAIN

Country | Category of item | Brands | Name of item | Reference N of the item | End user price in local currency after VAT | GNI per capita | Bundled | End user price in EUR after VAT |  | Top 5  lowest price | AB | MedEL | Cochlear | OM | Custom label
Country | Category of item | Brands | Name of item | Reference N of the item | End user price in local currency after VAT | GNI per capita | Bundled | End user price in EUR after VAT |  | Top 5  highest price | AB | MedEL | Cochlear | OM | Custom label
Country | Category of item | Brands | Name of item | Reference N of the item | End user price in local currency after VAT | GNI per capita | Bundled | End user price in EUR after VAT |  | Antenna cable | AB | MedEL | Cochlear | OM | Custom label
Country | Category of item | Brands | Name of item | Reference N of the item | End user price in local currency after VAT | GNI per capita | Bundled | End user price in EUR after VAT |  | [NAME] | AB | MedEL | Cochlear | OM | Custom label
Country | Category of item | Brands | Name of item | Reference N of the item | End user price in local currency after VAT | GNI per capita | Bundled | End user price in EUR after VAT |  | Charger | AB | MedEL | Cochlear | OM | Custom label
Country | Category of item | Brands | Name of item | Reference N of the item | End user price in local currency after VAT | GNI per capita | Bundled | End user price in EUR after VAT |  | Recheargable battery | AB | MedEL | Cochlear | OM | Custom label
Country | Category of item | Brands | Name of item | Reference N of the item | End user price in local currency after VAT | GNI per capita | Bundled | End user price in EUR after VAT |  | Full swim kit | AB | MedEL | Cochlear | OM | Custom label
Spreadsheet: f6c41e3d-bc74-40d5-92c8-c754a78dab61
Sheet: Sheet1

CNV burden | AFFECTED | UNAFFECTED
Number of autosomal CNVs | 2530 | 4426
Number of segements/ sample | 14.62 | 15.31
Average segment size | 140.8 | 157.5
Number of genes spanned by CNVs | 15.98 | 17.54
Calculation of de novo CNVs within all available trios of examined families
Number of full trios | 53 | 41
Verified CNVs | 256 | 239
Number of de novo CNV | 6 | 3
[NAME] per transmission
Spreadsheet: 91652d1291316743-formula-to-change-sheet-number-when-dragged-master-list-template-1
Sheet: D409

AI Eval # | AI # | MDCR # | TER # | DAJIC # | QA Audit Finding # | Orig. Dept | Subject/Project Name/Comments/Update Information | Product Line | Affected Manual(s) | ATA Code | Section | Task No. | Submitter Name | Submitter Phone # | [NAME] | Submission Year | Submission Date | Date Rec'd | Date Reviewed | MDCR Level 1 - 2 - 3 (TOPP 20-40-05) | Unacceptable (STOP) | Acceptable (GO) | Date to WPR Task List | Date Reassigned | Task Owner | EA # | EA REV | Date to Approver | Date to ORT | ORT Approval Date | MDCR Approval Date By [NAME] | ER/A Approval Date / MDCR Approval Date from Tech Pubs | WPR Completion Date | Request QTY | Completed QTY | Not Completed QTY |  | No. Days Submission to WPR Inbox | No. Days WPR Inbox to Review | No. Days Review to Task List Entry | No. Days Task List Entry to Re-assignment | No. Days Re-assignment to Approver | No. Days Approver to ORT Review | No. Days ORT Review to Approval | No. Days MDCR Approval by [NAME] | No. Days ER/A Approval / MDCR Approval from Tech Pubs | No. Days Approval to WPR Completion | No. Days submit for approval to Completion | No. Days WPR Inbox to WPR Completion | No. Days Submission to WPR Completion | Inbox to  Reassignment | Submit for Approval to Completion
Entry Rows
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 0 | 0 | 0 | No ORT | No ORT | 0 | 0 | not complete | not complete | 0 | 0 | 0 | not submitted for approval
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 0 | 0 | 0 | No ORT | No ORT | 0 | 0 | not complete | not complete | 0 | 0 | 0 | not submitted for approval
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 0 | 0 | 0 | No ORT | No ORT | 0 | 0 | not complete | not complete | 0 | 0 | 0 | not submitted for approval
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 0 | 0 | 0 | No ORT | No ORT | 0 | 0 | not complete | not complete | 0 | 0 | 0 | not submitted for approval
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 0 | 0 | 0 | No ORT | No ORT | 0 | 0 | not complete | not complete | 0 | 0 | 0 | not submitted for approval
409 Tasks
2011 | Task List
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 0 | 0 | 0 | No ORT | No ORT | 0 | 0 | not complete | not complete | 0 | 0 | 0 | not submitted for approval
2011 | Task Status |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 0 |  | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA
Spreadsheet: 109724d1306501121-excel-2007-specific-date-compared-to-date-range-fed-calc-v3
Sheet: Year 11

 | Case Number |  |  |  |  | Date Prepared
 | Non Custodial Parent |  |  |  |  |  | Reconciliation Date
 | CP/Caretaker
 | YEAR 11:
 |  | Amount Due |  |  |  |  |  | Charging
 |  |  |  |  |  |  |  | Order
Month |  | ORDER 1 | ORDER 2 | ORDER 3 | ORDER 4 | ORDER 5 |  | Amount
121 | January
122 | February
123 | March
124 | April
125 | May
126 | June
127 | July
128 | August
129 | September
130 | October
131 | November
132 | December
 | Support Due
 | Support Paid
 | [NAME]
 | Accrued Arrearage
 | Last Year Carryover
 | Lump/TANF
 | This Year
 | Total
 | Interest Rate
 | Arrears Interest
 | Fees Due
 | Fees Paid
 | Fees Owed
Spreadsheet: 599774d1543310296-amend-a-formula-which-can-total-perfectly-copy-of-semi-finished-domestic-stock
Sheet: Pivot Table 1

QUALITY | MANUFACTURED | DESIGN NO. | COLOUR | ROLLS GIVEN PROCESSING | SUM of METER | SUM of 60" | SUM of 68" | SUM of 81 | SUM of 90*100 | SUM of 96*110 | SUM of 102*120 | SUM of 108 | SUM of 120*120 | SUM of PILLOW | SUM of CUSHION | SUM of BOOSTER
FEATHER |  |  |  |  | 433.5 |  |  |  | 143 |  |  |  |  | 270
ROMAN | NATRAJ HANDLOOM | 1 | KORA | 2121 | 52 | 16 |  |  |  |  |  |  |  |  | 75 | 30
 |  |  |  |  | 829 | 227 |  |  | 45 |  |  |  |  | 90 | 750 | 315
 |  |  |  | (blank) | 52 | 16 |  |  |  |  |  |  |  |  | 75 | 30
 |  |  | KORA Total |  | 933 | 259 |  |  | 45 |  |  |  |  | 90 | 900 | 375
 |  |  | MIX | 2140 | 52 | 16 |  |  |  |  |  |  |  |  | 75 | 30
 |  |  |  | 2152 | 31 |  |  |  | 10 |  |  |  |  | 20
 |  |  |  | 2154 | 46 |  |  |  | 15 |  |  |  |  | 30
 |  |  |  | 2155 | 46 |  |  |  | 15 |  |  |  |  | 30
 |  |  |  | 2162 | 61 |  |  |  | 20 |  |  |  |  | 40
 |  |  |  |  | 576.5 | 64 |  |  | 120 |  |  |  |  | 240 | 300 | 120
 |  |  | MIX Total |  | 812.5 | 80 |  |  | 180 |  |  |  |  | 360 | 375 | 150
 |  | 1 Total |  |  | 1745.5 | 339 |  |  | 225 |  |  |  |  | 450 | 1275 | 525
 | NATRAJ HANDLOOM Total |  |  |  | 1745.5 | 339 |  |  | 225 |  |  |  |  | 450 | 1275 | 525
ROMAN Total |  |  |  |  | 1745.5 | 339 |  |  | 225 |  |  |  |  | 450 | 1275 | 525
(blank)
Grand Total |  |  |  |  | 2179 | 339 |  |  | 368 |  |  |  |  | 720 | 1275 | 525
Spreadsheet: 173b3307-149a-4bde-81b9-2da2489ed350
Sheet: Denials 2009

MULTNOMAH COUNTY LOAN DENIAL RATES BY INCOME-RACE GROUPINGS : 2009
Home Purchase & Occupation
I.  Total Applications
Race/Ethnicity | 0-30% MFI | 31-50% MFI | 51-80% MFI | 81-95% MFI | >95% MFI | Total
American Indian | 0 | 4 | 6 | 3 | 16 | 29
Asian | 31 | 108 | 158 | 47 | 207 | 559
Black or African American | 1 | 13 | 29 | 8 | 38 | 90
Native Hawaiian or Pacific Islander | 0 | 6 | 4 | 1 | 8 | 21
White | 45 | 339 | 951 | 412 | 2415 | 4208
Hispanic | 1 | 17 | 54 | 18 | 72 | 163
Overall Total | 83 | 509 | 1241 | 523 | 2967 | 5398
II.  Total Denials
 | 0-30% MFI | 31-50% MFI | 51-80% MFI | 81-95% MFI | >95% MFI | Total
American Indian | 0 | 1 | 0 | 1 | 2 | 4
Asian | 13 | 31 | 32 | 10 | 23 | 109
Black or African American | 0 | 3 | 4 | 2 | 13 | 23
Native Hawaiian or Pacific Islander | 0 | 3 | 0 | 0 | 2 | 6
White | 14 | 63 | 126 | 43 | 243 | 499
Hispanic | 1 | 3 | 13 | 2 | 9 | 29
Overall Total | 28 | 110 | 178 | 61 | 315 | 705
III. Denial Rates (II/I) * 100
 | 0-30% MFI | 31-50% MFI | 51-80% MFI | 81-95% MFI | >95% MFI | Total
American Indian | 0 | 0
Asian
Black or African American
Native Hawaiian or Pacific Islander | 0
White
Hispanic
Overall Total
Source: HMDA (LAR)
Note: Data reported here is for Multnomah County. These are loans for the purpose of purchasing a home. The loans are for homes that are meant for a primary occupancy of the owner. These are all represented for conventional loans. For ethnic and racial breakout, these are loans originated by households where either the applicant or co-applicant are representative of that group.
Spreadsheet: c86eae99-c7ed-4862-80d2-ee1b53781815
Sheet: Sheet1

Adresseliste fra www.proff.no | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7
Bransje:Regnskapstjenester
FIRMANAVN | ADRESSE | POSTNR. | POSTSTED | TELEFON | TELEFAKS
OrbitArena Regnskap AS | Trondheimsv. - Jessheim 116 | 2068 | Jessheim | 63 94 11 00 | 63 94 11 01
[NAME] | Industriv. 23 | 2069 | Jessheim | 63 93 45 30 | 63 93 45 39
[NAME] | Trondheimsv. - Jessheim 125C | 2068 | Jessheim | 950 10 129 | 63 97 41 72
Team Regnskap Jessheim AS | Energiv. 14B | 2069 | Jessheim | 63 94 61 60 | 63 94 61 61
Storen AS | Storg. 2 | 2050 | Jessheim | 911 49 535 | 63 97 62 70
Økonor [NAME] | Elektrovegen 4 | 2069 | Jessheim | 63 94 38 00 | 63 94 38 19
[NAME] | Elektrovegen 2 | 2069 | Jessheim | 957 21 284
Kristiansen Bjarne AS | Hilton 151D | 2040 | Kløfta | 63 98 01 60
[NAME] France [NAME] | Nordskog 2 | 2069 | Jessheim | 481 47 086
[NAME] | [NAME] 20 | 2050 | Jessheim | 63 97 30 55
Kløfta Regnskap DA | Trondheimsvegen - Kløfta 65 | 2040 | Kløfta | 63 93 49 00
Safe Accounts AS | Bakkevegen - Kløfta 30 | 2040 | Kløfta | 958 83 017 | 63 93 68 78
BoAs Regnskap AS | Berglia 7 | 2056 | Algarheim | 63 97 69 40 | 63 97 28 86
Adico Regnskap AS | [NAME] 91 | 2052 | Jessheim | 468 19 997
Sevilhaugs Regnskapskontor AS | Elektrovegen 4 | 2069 | Jessheim | 63 94 38 00
Connect Regnskap AS | Balder allé 2 | 2060 | Gardermoen | 63 92 88 00 | 63 97 40 50
Tema Regnskap Jessheim AS | Industrivegen 5 | 2069 | Jessheim | 63 98 63 98
[NAME] | Trondheimsvegen - Jessheim 65 | 2050 | Jessheim | 63 92 65 00 | 63 92 65 01
Kr Økonomi AS | Trondheimsvegen - Kløfta 65 | 2040 | Kløfta | 63 93 49 00
Gardermoen Økonomi AS | Elektrovegen 2 | 2069 | Jessheim | 63 93 68 35
Trenger du oppdaterte adresselister til DM /TM? [NAME] (www.forvalt.no) tilbyr ett segmenterings- og uttekksverktøy hvor du [NAME] frem til din målgruppe og eksportere lister til Excel. Du kan gjøre oppslag så ofte du vil, med en begrensning på 3500 selskap per søk. Våre telefonnummere er hentet fra Telefonkatalogen og [NAME].  Med segmenteringsverktøy kan du: - Hente ut adresseliste før en DM utsendelse - Lage ringelister - Hente ut bransjestatistikker - Oppdatere din kundedatabase  Se http://forvalt.no/segmenteringsverktoy/
Spreadsheet: 40414d1238719822-top-10-from-two-criteria-cvt39a-version-1-
Sheet: Sheet1

GROUP |  |  |  |  | [NAME] |  |  | Florence Nightingale |  |  | [NAME] |  |  | [NAME] |  |  | [NAME]
Name | House | Running Total | Search Key |  | Student 8 | 372 |  | Student 1 | 231 |  | Student 12 | 372 |  | Student 21 | 306 |  | Student 24 | 225 |  | #N/A | 0
Student 1 | Florence Nightingale | 231 | Florence Nightingale231 |  | Student 11 | 225 |  | Student 2 | 225 |  | Student 14 | 174 |  | Student 19 | 188 |  | Student 23 | 137 |  | #N/A | 0
Student 2 | Florence Nightingale | 225 | Florence Nightingale225 |  | Student 10 | 196 |  | Student 3 | 108 |  | Student 15 | 117 |  | Student 20 | 63 |  | Student 22 | 79 |  | #N/A | 0
Student 3 | Florence Nightingale | 108 | [NAME] |  | Student 9 | 120 |  | Student 5 | 99 |  | Student 17 | 86 |  | Student 26 | 28 |  | Student 27 | 38
Student 4 | Florence Nightingale | 88 | [NAME] |  | Student 7 | 112 |  | Student 4 | 88 |  | Student 16 | 47 |  | Student 18 | 0 |  | Student 25 | 24
Student 5 | Florence Nightingale | 99 | Florence Nightingale99 |  |  |  |  | Student 6 | 4 |  | Student 13 | 36 |  |  |  |  | Student 28 | 23
Student 6 | Florence Nightingale | 4 | Florence Nightingale4
Student 7 | [NAME] | 112 | [NAME]
Student 8 | [NAME] | 372 | [NAME] Curie372
Student 9 | [NAME] | 120 | [NAME] Curie120
Student 10 | [NAME] | 196 | [NAME]
Student 11 | [NAME] | 225 | [NAME] Curie225
Student 12 | [NAME] | 372 | [NAME]
Student 13 | [NAME] | 36 | [NAME]
Student 14 | [NAME] | 174 | [NAME]
Student 15 | [NAME] | 117 | [NAME]
Student 16 | [NAME] | 47 | [NAME]
Student 17 | [NAME] | 86 | [NAME]
Student 18 | [NAME] | 0 | Rosa Parks0
Student 19 | [NAME] | 188 | [NAME]
Student 20 | [NAME] | 63 | [NAME]
Student 21 | [NAME] | 306 | [NAME] Parks306
Student 22 | [NAME] | 79 | [NAME]
Student 23 | [NAME] | 137 | [NAME]
Student 24 | [NAME] | 225 | [NAME]
Student 25 | [NAME] | 24 | [NAME]
Student 26 | [NAME] | 28 | [NAME]
Student 27 | [NAME] | 38 | [NAME]
Student 28 | [NAME] | 23 | [NAME]
0 | 0 | 0 | 00
0 | 0 | 0 | 00
0 | 0 | 0 | 00
Spreadsheet: 759043d1639257805-need-help-in-formula-completion-of-the-sales-form-template
Sheet: Drop Downs

Products | Status | Won | Open | Oppurtunity Type
P-Series | OB | Lost | Close | A
iSeries Plus | ST | Defferred |  | B+ Upside
N-Series | IFRS |  |  | B+30
Preparative LC |  |  |  | B+60
LCMS TQ |  |  |  | B
LCMS SQ |  |  |  | C
LCMS Q ToF |  |  |  | B-
PPSQ |  |  |  | D
MALDI
Ipkg Labsolutions CS
Labsolution Bix
i-LIMS/ LIMS
Kits
Columns
Software Upgrade
Spreadsheet: 724729d1616341846-change-total-column-to-top-6-column-so-i-can-still-have-top-10-column-working-testing-1-
Sheet: Sheet1

 | Names | Week One | Week Two | Week Three | Week Four | Week Five | Week Six | Week Seven | Week Eight |  | Total |  | Top 6 Scores |  | Top 10 Players score
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Rank Helper
 | D Frith | 15 | 14 |  |  | 0 | 0 | 0 | 0
 | P Carter | 15 | 12 |  |  | 0 | 0 | 0 | 0
 | T Seymore | 15 | 15 |  |  | 0 | 0 | 0 | 0
 | A Terry | 14 | 15 |  |  | 0 | 0 | 0 | 0
 | J Vince | 14 | 10 |  |  | 0 | 0 | 0 | 0
 | M Frith | 14 | 8 |  |  | 0 | 0 | 0 | 0
 | [NAME] | 12 | 8 |  |  | 0 | 0 | 0 | 0
 | M Micklefield | 12 | 10 |  |  | 0 | 0 | 0 | 0
 | K Ellis | 12 | 16 |  |  | 0 | 0 | 0 | 0
 | K Lester | 12 | 11 |  |  | 0 | 0 | 0 | 0
 | C Medlin | 12 | 0 |  |  | 0 | 0 | 0 | 0
 | K De Veen | 12 | 12 |  |  | 0 | 0 | 0 | 0
 | J Thompson | 12 | 12 |  |  | 0 | 0 | 0 | 0
 | K  Thompson | 12 | 14 |  |  | 0 | 0 | 0 | 0
 | G Godhard | 12 | 7 |  |  | 0 | 0 | 0 | 0
 | L Lester | 12 | 11 |  |  | 0 | 0 | 0 | 0
 | L Harvey | 10 | 0 |  |  | 0 | 0 | 0 | 0
 | S Kinson | 10 | 15 |  |  | 0 | 0 | 0 | 0
 | C Micklefield | 10 | 15 |  |  | 0 | 0 | 0 | 0
 | D Bridges | 10 | 0 |  |  | 0 | 0 | 0 | 0
 | H De Veen | 10 | 15 |  |  | 0 | 0 | 0 | 0
 | L Bray | 10 | 7 |  |  | 0 | 0 | 0 | 0
 | W Seymore | 10 | 11 |  |  | 0 | 0 | 0 | 0
 | M Bray | 10 | 7 |  |  | 0 | 0 | 0 | 0
 | G Atkinson | 10 | 11 |  |  | 0 | 0 | 0 | 0
 | [NAME] | 10 | 8 |  |  | 0 | 0 | 0 | 0
 | D Ebdon | 8 | 15 |  |  | 0 | 0 | 0 | 0
 | J Sunderland | 8 | 11 |  |  | 0 | 0 | 0 | 0
 | A Levelle | 8 | 7 |  |  | 0 | 0 | 0 | 0
 | B Green | 7 | 11 |  |  | 0 | 0 | 0 | 0
 | C Laverty | 7 | 0 |  |  | 0 | 0 | 0 | 0
 | D Colquhoun | 7 | 8 |  |  | 0 | 0 | 0 | 0
 | M Holmes |  | 15 |  |  | 0 | 0 | 0 | 0
 | K Burnam | 0 | 7 |  |  | 0 | 0 | 0 | 0
 | [NAME] | 0 | 8 |  |  | 0 | 0 | 0 | 0
Spreadsheet: 708284d1607703087-non-consecutive-count-sample-workbook-3-
Sheet: Dates

Dates
Spreadsheet: 107a7d36-a976-45df-abca-39aeb5e9282d
Sheet: Sheet1

QUALITY INDICATORS for PROGRAM REVIEW
School to Employment Programs
Instructions for Self-Study
Purpose:
Quality Indicators are designed for school districts to assess transition services for students with developmental disabilities in school to employment programs. By using this tool, school district teams will have a common understanding of what constitutes quality programming and best practice in secondary special education and transition. This activity will promote planning and continuous improvement to increase post-school outcomes for students.
The Quality Indicators focus on four domains:
1.  School-based Activities
2.  Work-based Activities
3.  Independent Living Activities
4.  Connecting Activities
Suggested Review Team Members:
1. Special Education Teacher(s)
2. Special Education Administration
3. Support Personnel: counselor, psychologist, transition specialist
4. Building Administration
5. CTE/career education staff
6. Student or family, if possible
Directions:
There are two formats available for review teams to use:  computer-scored review and
manually-scored review.  This is the computer-scored format.
Almost Always=occurs more than 76% of the time ~ Frequently=occurs 51%-75% of the time Sometimes=occurs 26%-50% of the time ~ Almost Never=occurs 25% or less of the time
Computer-scored format:
1. This is an Excel spreadsheet document; enter all ratings on a computer;
2. There is no need to mark on the score sheet; the computer will calculate the results as the
review is completed;
3. On the Score Sheet-insert the name of your school or district; this will appear on each subsequent page.
4. Using the computer, rate each Indicator (100) as Almost Always, Frequently, Sometimes,
or Almost Never;  mark an X in the corresponding box; mark only 1 X for each statement;
5.  After marking an X click "Enter" to move down the page; do NOT use the down arrow (↓)
6.  If you put an X in the wrong column or want to change your decision to another cell, use the
DELETE key, not the space bar to clear the cell.
7. When all 100 items have been rated, the score sheet will be complete, including
percentage scores in each category and a total;
8. To print the results, click on File, Print, [NAME].
Spreadsheet: 222098d1363761588-compare-two-list-and-sort-matched-values-comparelist-and-order
Sheet: Sheet1

DATA |  |  |  |  | Compared and Ordered List |  |  | Request:
List1 | List 2 |  |  |  | List1 | List 2 |  | In order to get the Ordered List
1 | 1 |  |  |  | 1 | 1 |  | Column F and G need a formula
1 | 2 |  |  |  | 1 | BLANK
2 | 2 |  |  |  | 2 | 2
2 | 3 |  |  |  | 2 | 2 |  | Note: Data Lists sorted A-Z
3 | 3 |  |  |  | 3 | 3 |  | But, possible to be unsorted.
4 | 4 |  |  |  | BLANK | 3
5 | 4 |  |  |  | 4 | 4
6 | 6 |  |  |  | BLANK | 4
7 | 6 |  |  |  | 5 | BLANK
8 | 7 |  |  |  | 6 | 6
10 | 9 |  |  |  | BLANK | 6
11 | 10 |  |  |  | 7 | 7
11 | 11 |  |  |  | 8 | BLANK
11 | 11 |  |  |  | BLANK | 9
11 | 12 |  |  |  | 10 | 10
12 | 13 |  |  |  | 11 | 11
14 | 14 |  |  |  | 11 | 11
 |  |  |  |  | 11 | BLANK
 |  |  |  |  | 11 | BLANK
 |  |  |  |  | 12 | 12
 |  |  |  |  | BLANK | 13
 |  |  |  |  | 14 | 14
 |  |  |  |  | Manually Listed(required  FORMULA)
Spreadsheet: 755644d1637004227-using-nested-if-and-or-statements-and-maybe-indirect-waitlist-therapist-list
Sheet: Anais

Anais | Monday | Tuesday | Wednesday | Thursday | Friday
07:30:00 | Weekly | Weekly |  | Filled
08:15:00 | Weekly | Filled |  | Filled
09:00:00 | Filled | Weekly |  | Filled
09:45:00 | unavailable | unavailable |  | unavailable
10:30:00 | unavailable | unavailable |  | unavailable
11:15:00 | Filled | Filled |  | Weekly
12:00:00 | unavailable | unavailable |  | unavailable
01:00:00 | Filled | Filled |  | Filled
01:45:00 | Weekly | Filled |  | e/o week
02:30:00 | Filled | Filled |  | Filled
03:15:00 | Filled | e/o week |  | Filled
04:00:00 | Filled | Filled |  | Filled
04:45:00 | Filled | Filled |  | Filled
05:30:00 | Filled | Filled |  | Weekly
Spreadsheet: 721028d1614434690-lookup-and-if-combined-van-check-out-in
Sheet: Out

Timestamp | [NAME] | Unit | Signed Back In? | Sign In Time | Latest Time
2021-02-27 12:00:00 | [NAME] | 1791 |  |  | 2021-02-27 17:00:00
2021-02-27 11:41:00 | [NAME] | 1797 |  |  | 2021-02-27 16:41:00
2021-02-26 12:00:00 | [NAME] | 1791 |  |  | 2021-02-26 17:00:00
 |  |  |  | In E4 above works if the timestamp on the IN sheet is sorted correctly.
 | What I'd like to be able to do is read the sign in time from the "In" tab if the entry falls between the "Timestamp" & latest time, but taking into account the colleague & unit number ~(example of result below)
2021-02-26 12:00:00 | [NAME] | 1791 |  | 2021-02-26 17:00:00 | 2021-02-26 17:00:00