tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: eric_saibi__9708__010402R
Sheet: Yates 01

Owner Name |  | Georgia Power Company
Station Name |  | Yates Power Station
Unit Name |  | Yates 01
NERC Region |  | SERC
State |  | GA
Fuel Type |  | Coal
Capacity |  | 123 MW
Start Date |  | 2002-03-08 00:00:00
End Date |  | 2002-03-22 00:00:00
Prv. Start Date |  | 2002-01-04 00:00:00
Prv. End Date |  | 2002-01-17 00:00:00
Comments |  | Scrubber Cleaning
SIC |  | 4911
Plant ID |  | 1013872
Unit ID |  | 1005523
Outage ID |  | 10062
Spreadsheet: 56355d1256555930-excel-2007-consolidating-monthly-sheets-via-pivot-table-eksempel-mnd-rapport
Sheet: March

Period: | March | 2009
 |  |  | Office |  | Workshop |  | Total
Description |  |  | Period | Total | Period | Total | Period | Total
Personell injuries with absence |  |  | 0 |  | 0
Personell injuries without absence |  |  | 0 |  | 0
Injuries causing alternative work |  |  | 0 |  | 0
Work conditioned illness with absence |  |  | 0 |  | 0
Work conditioned illness without absence |  |  | 0 |  | 0
First aid injuries |  |  | 0 |  | 0
RUH |  |  | 26 |  | 13
Sykefravær i prosent |  |  |  |  |  |  |  | 0.05
Total working hours |  |  | 4596 |  | 2602
Working hours overtime |  |  | 891 |  | 59
Overtime in %
Frequence (hours pr RUH)
H1-Value
H2-Value
H3-Value
M1-Value
M2-Value
Spreadsheet: 05e41bd9-353f-4021-8d1a-638f59e092c1
Sheet: ENGL

 | PROGRAM LEVEL | # | SLOs | # | ASSESSMENT METHOD DEFINED | # | ASSESSED  COURSE | # | DISCUSSION/ IMPROVEMENT | #
 | A.A. Degree English | 1
 | TOTAL
 | PERCENTAGE
 | COURSE
1 | ENGL 015 | 1 | X | 1 | X | 1 | 7 | 1 | 2 | 1
5 | ENGL 062 | 1 | X | 1 | X | 1
1 | ENGL 101 | 1 | X | 1 | X | 1 | 7 | 1 | 2 | 1
 | ENGL 101H | 1 | X | 1 | X | 1
1 | ENGL 102 | 1 | X | 1 | X | 1 | 4 | 1 | 2 | 1
 | ENGL 102H | 1 | X | 1 | X | 1
5 | ENGL 108 | 1 | X | 1 | X | 1
5 | ENGL 109 | 1 | X | 1 | X | 1
5 | ENGL 120 | 1 | X | 1 | X | 1
1 | ENGL 127X4 | 1 | X | 1 | X | 1 | 1 | 1 | 1 | 1
5 | ENGL 146 | 1 | X | 1 | X | 1
5 | ENGL 150 | 1 | X | 1 | X | 1
1 | ENGL 152 | 1 | X | 1 | X | 1 | 4 | 1 | 2 | 1
1 | ENGL 155 | 1 | X | 1 | X | 1 | 2 | 1 | 1 | 1
 | ENGL 155H | 1 | X | 1 | X | 1
1 | ENGL 160 | 1 | X | 1 | X | 1 | 2 | 1 | 1 | 1
5 | ENGL 163 | 1 | X | 1 | X | 1
1 | ENGL 170 | 1 | X | 1 | X | 1 | 2 | 1 | 1 | 1
5 | ENGL 175 | 1 | X | 1 | X | 1
5 | ENGL 226 | 1 | X | 1 | X | 1
1 | ENGL 232 | 1 | X | 1 | X | 1 | 2 | 1 | 1 | 1
1 | ENGL 250 | 1 | X | 1 | X | 1 | X | 1
1 | ENGL 260 | 1 | X | 1 | X | 1 | 1 | 1 | 1 | 1
1 | ENGL 261 | 1 | X | 1 | X | 1 | 1 | 1 | 1 | 1
4 | ENGL 270 | 1 | X | 1 | X | 1
1 | ENGL 271 | 1 | X | 1 | X | 1 | 1 | 1 | 1 | 1
1 | ENGL 275 | 1 | X | 1 | X | 1 | 2 | 1 | 2 | 1
5 | ENGL 280 | 1 | X | 1 | X | 1
5 | ENGL 281 | 1 | X | 1 | X | 1
5 | ENGL 908  (Deleted?) | 1 | X | 1 | X | 1
1 | ENGL 914 | 1 | X | 1 | X | 1 | 4 | 1 | 2 | 1
 | TOTAL
 | PERCENTAGE
Spreadsheet: 2dc7cf4a-66f4-4b0a-871d-f7d043cc891e
Sheet: Sheet1

Elftalindeling 2011-2012 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3
3e klasse F | 4e klasse 13 | 6e klasse 10 | 6e klasse 02
Bemmel SC 3 | AZC 2 10:00 | AZC 3 | AGOVV 4
Driel RKSV 2 | [NAME] 2 | Be [NAME] | Apeldoornse Boys 7
Eerbeekse Boys 2 | Be [NAME] | Doesburg SC 2 | Beekbergen 4
ONA '53 2 | [NAME] '76 3 | DVV 3 | Eerbeekse Boys 5
Arnhemse Boys 2 | FC [NAME] | EDS 1 | Epe 6
SCE 2 | Klarenbeek SC 3 | HC '03 4 | [NAME] 3
Eldenia 2 | [NAME]. UD 2 | [NAME] | [NAME] 6
[NAME] | Lochem SP 3 | Pax 7 | KCVO 5
Spero 3 | [NAME] | SHE 2 | Klarenbeek SC 4
[NAME] 2 | [NAME] | [NAME] | [NAME]
NSVV FC Kunde 2 | Warnsveldse Boys 3 | [NAME] | WSV 6
[NAME] | Zutphania 2 |  | WWNA 4
6e klasse 09 | 7e klasse 02 | 7e klasse 04 | Dames 5e klasse E
AZC 4 | Columbia 8 | AGOVV 5 | Activia DA1
Be [NAME] | Cupa 4 | Emst 5 | [NAME] DA1
Dierense Boys 3 | Edesche Boys 7 | Epe 8 | Brummen DA1
Eerbeekse Boys 4 | Emst 4 | KCVO 6 | Dierense Boys DA1
[NAME] | [NAME] | [NAME] | SC Doesburg DA1
[NAME] 2 | [NAME] et Velocitas 6 | [NAME] 3 | FC Zutphen DA1
Lochem SP 4 | SHE 4 | [NAME] et Velocitas 5 | [NAME] DA1
[NAME] | TKA 6 | V en L 3 | [NAME]
[NAME] | V en L 4 | Vaassen 4 | Pax DA1
Voorst 3 | [NAME] 6 | Welsum 1 | SHE DA1
Zutphania 3 | Voorwaarts T 13 | Wissel 3 | V en L DA1
 | WSV 10 | ZVV '56 5
Spreadsheet: 753299d1635350597-excel-numbering-and-subnumbering-formula-function-auto-numbering-example
Sheet: Sheet1

 | S/N | Family | Item | Color
 | 1.1.1 | Fruits | Orange | Orange
 | 1.2.1 | Fruits | [NAME] | Yellow
 | 1.3.1 | Fruits | Apple | Red
 | 1.3.2 | Fruits | Apple | Yellow
 | 1.3.3 | Fruits | Apple | Green
 | 2.1.1 | Vegetables | [NAME] | Green
 | 2.2.1 | Vegetables | Tomato | Red
 | 2.2.2 | Vegetables | Tomato | Yellow
Spreadsheet: 35852d1233587402-excel-2007-budgeting-question-post
Sheet: Sheet1

 | budget | Per Pay Period | Year to Date
tithing | 0.1 | 105.986 | 105.986 |  |  |  | 8
savings | 0.5 | 529.93 | 529.93 |  | [NAME]
living | 0.4 | 423.944 | 423.944 |  | 17
 |  | 1059.86
Pay Period | hours | wages | milage | pre tax | tax | total pay
1-10 to 1-23 | 74.5 | 1266.5 | 100 | 1366.5 | 306.64 | 1059.86
Total | 74.5 | 1266.5 | 100 | 1366.5 | 306.64 | 1059.86
Spreadsheet: 777322d1650322761-using-vlookups-within-an-if-book1
Sheet: Entity_Cleaned

Parent | Child | Generation
Entity | Member1
Member1 | Member2
Member2 | Member3
Member3 | Member4
Member4 | Member5
Member4 | Member6
Member6 | Member7
Member6 | Member8
Member4 | Member9
Member9 | Member10
Member9 | Member11
Member9 | Member12
Member4 | Member13
Spreadsheet: 53489d1253370345-leave-cells-blank-without-zeros-football
Sheet: Week1

Week1
TOTTENHAM | 0 | 1 | ARSENAL
BOLTON | 3 | 2 | READING
CHARLTON |  |  | SHEFF UTD
FULHAM |  |  | BLACKBURN
LIVERPOOL |  |  | WIGAN
WATFORD |  |  | MAN CITY
WEST HAM |  |  | EVERTON
MAN UTD |  |  | MIDDLES'BORO
NEWCASTLE |  |  | CHELSEA
A.VILLA |  |  | PORTEMOUTH
Spreadsheet: 850519d1700856857-if-statement-help-pt-2-if-statement-sample
Sheet: Sheet1

Data source 1 | Data source 2 | Match? | FINAL output
Micro | Micro |  |  | <-Return value from cell B2 if true
Micro | Metro |  |  | <-Return value from B3 if false and when both cells have values
 | Metro |  |  | <-Return value from B4 if no value in A4
 | Micro |  |  | <-Return value from B5 if no value in A5
Metro |  |  |  | <-Return value from A6 if no value in B6
Micro |  |  |  | <-Return value from A7 if no value in B7
Spreadsheet: f9c84d0b-0ac0-4bfe-a8fe-5451fb1b9ba5
Sheet: Sheet1

STATE SENATE DISTRICT NO. 1 - REPUBLICAN | Unnamed: 1 | Unnamed: 2 | Unnamed: 3
 | King, Sr., r | Bradley, d | [NAME]
Atkinson & Gilmanton Academy Grant | 0
Bean's Grant | 0
Bean's Purchase | 0
[NAME] | 69 |  | 1
[NAME] | 99
[NAME] 3 | 166 |  | 1
[NAME] 4 | 48 |  | 1
Bethlehem | 127 |  | 1
Cambridge | 0
Carroll | 41
[NAME]'s Purchase | 0
[NAME] | 15
Colebrook | 136 |  | 2
Columbia | 32
Crawford's Purchase | 0
Cutt's Grant | 0
[NAME] | 40
Dix's Grant | 0
Dixville | 11
Dummer | 17
Errol | 28
Erving's Location | 0
Franconia | 91 |  | 3
[NAME] | 110
Green's Grant | 0
Hadley's Purchase | 0
[NAME] | 113
Kilkenny | 0
Lancaster | 233 |  | 3
Lisbon | 64 |  | 2
Littleton | 419 |  | 1
Low & Burbank's Grant | 0
Martin's Location | 0
Milan | 72
[NAME] | 5
Northumberland | 76
[NAME] | 0
[NAME]'s Grant | 0
Pittsburg | 63
Randolph | 41 | 4
Sargent's Purchase | 0
Second College Grant | 0
Shelburne | 19 | 1
[NAME] | 32
Stewartstown | 32 |  | 2
[NAME] | 18
Success | 0
[NAME] | 56 | 1 | 0
Thompson & Meserve's Purchase | 0
Wentworth's Location | 0
[NAME] | 84
Totals | 2357 | 6 | 17
Spreadsheet: 0791d3d9-ae77-4c49-bd54-8b3347914f8a
Sheet: 2006-07

Table N
Students Domiciled within the UK by Method of Study
Country/Region | Undergraduate |  |  | Graduate |  |  | Total
 | Full Time | Part Time | Total | Full Time | Part Time | Total
England
Greater London | 3739 | 103 |  | 1152 | 1213
South East | 2329 | 45 |  | 580 | 563
South West | 528 | 10 |  | 101 | 81
North and Yorkshire | 314 | 5 |  | 72 | 40
North West | 324 | 4 |  | 69 | 48
Midlands | 579 | 10 |  | 129 | 108
East Anglia | 293 | 2 |  | 81 | 92
Not Known | 0 | 0 |  | 2 | 0
Subtotal
Northern Ireland | 45 | 1 |  | 19 | 11
Scotland | 70 | 0 |  | 53 | 17
Wales | 188 | 4 |  | 50 | 25
Channel Isles and Isle of Man | 24 | 0 |  | 5 | 3
Not Known | 42 | 3 |  | 41 | 41
Total
This table is concerned with students whose domicile at the time of application is within the UK irrespective of nationality.
The sum of Tables N and O is equivalent to the total number of students attending UCL.
Spreadsheet: 664986d1582854253-cost-based-on-day-of-week-green-forum
Sheet: FEBRUARY

Grean Clean Clean Record |  |  |  |  |  |  |  |  |  |  |  | First Day of Month | 2020-02-01 00:00:00
Date |  |  |  |  |  |  |  |  |  |  |  | Total | Savings
TOTALS
Spreadsheet: 695360d1600173897-find-the-hourly-rate-for-each-role-estimations
Sheet: Sheet2

CNET IMPORT - Rebuild PHP - Retain mapping from Comwrap extension - Divide functionality into smaller pieces of module - Determine if Shared Catalog needs to be required | Document user stories, use cases | Requirements | BSA | 0
 | Create specification (includes review requirements) | Specification | [NAME] | 0
 | Create test cases (includes reviewing requirements) | Test cases | QA | 0
 | Develop | Customized feature | BE | 0
 | Conduct PHP code reviews (~10% of development time) |  | [NAME] | 0
 | Conduct QA (~30% of total development time) |  | QA | 0
 | Fix QA defects (~20% of development time) |  | BE | 0
STAGE I | Discovery | Requirements | BSA | 0
 | Functional Requirements |  | BSA | 80
 | Technical Specification |  | [NAME] | 60
 | Design | Specification | DESIGN | 320
 | Prepare Entities, Product | Test cases | BE | 60
 | Vehicle Search | Customized feature | BE | 60
 | Category Nav, Part Filters, Part Review Details Page |  | FE | 200
 | Conduct QA (~30% of total development time) |  | QA | 200
 | Fix QA defects (~20% of development time) |  | BE | 120
 | Product Scanners | Requirements | BSA | 0
 | Supplier 1 | Specification | BE | 120
 | Supplier 2 | Test cases | BE | 120
 | Supplier 3 | Customized feature | BE | 120
 | Supplier 4 |  | BE | 120
STAGE II | Conduct QA (~30% of total development time) |  | QA | 144
 | Fix QA defects (~20% of development time) |  | BE | 96
 | Cusstomer Registration | Requirements | FE | 40
 | [NAME] | Specification | BE | 60
 | "Make Purchase" | Test cases | FE | 80
 | Customer [NAME] |  | FE | 30
 |  | Customized feature | BE
 |  | Customized feature | FE
 |  |  | [NAME]
STAGE III | Conduct QA (~30% of total development time) |  | QA | 64
 | Fix QA defects (~20% of development time) |  | BE | 40
 | Company Portal | Requirements | FE | 180
 | Back office | Specification | BE | 80
 | Social Login | Test cases | FE | 60
 | Referral Program |  | BE | 60
 |  | Customized feature | BE
 |  | Customized feature | FE
 |  |  | [NAME]
TEST RUN OF NEW STORE CREATION - Need to deternine rollout timeframes and costs for future stores - Need to understand level of SAP integration work and rieks involved, [NAME] | Conduct QA (~30% of total development time) |  | QA |  | 124
 | Fix QA defects (~20% of development time) |  | BE |  | 80
 | Create fictional new store to test integrations and deployment |  | BSA | 0
 | Conduct QA (~30% of total development time) |  | QA | 0
 | Fix QA defects (~20% of development time) |  | BSA | 0
CONVERT CERN TO WHITE LABEL . Explain WL concept to client - Understand impact on current [NAME] configuration
TOTALS
 |  |  |  |  | Meetings | DEV Hours | Rate | Revenue
 |  |  | BSA |  |  |  | 95
 |  |  | [NAME] |  |  |  | 95
 |  |  | QA |  |  |  | 50
 |  |  | DESIGN |  |  |  | 50
 |  |  | BE |  |  |  | 75
 |  |  | FE |  |  |  | 75
 |  |  | DEVOPS |  |  |  | 85
Spreadsheet: 03fc966a-94b5-48bd-9fd3-0c706a96c372
Sheet: Sheet1

Unnamed: 0 | Gender | Ethnicity Desc | Admin Date | Test | Test Name | Final Result | Overall Score | Domain 1 % Correct | Domain 2 % Correct | Domain 3 % Correct
1 | Female | White | 2012-10-19 00:00:00 | 152 | School Counselor | P | 274 | 88 | 94 | 88
2 | Female | White | 2012-10-17 00:00:00 | 152 | School Counselor | P | 259 | 85 | 73 | 83
3 | *Male | Hispanic/Latino | 2012-10-19 00:00:00 | 152 | School Counselor | F | 216 | 54 | 53 | 75
4 | Female | White | 2012-10-17 00:00:00 | 152 | School Counselor | P | 276 | 88 | 94 | 92
5 | Female | White | 2012-10-19 00:00:00 | 152 | School Counselor | P | 262 | 77 | 87 | 79
6 | Female | White | 2012-10-17 00:00:00 | 152 | School Counselor | P | 258 | 75 | 75 | 92
7 | Female | White | 2013-01-05 00:00:00 | 152 | School Counselor | P | 253 | 69 | 90 | 71
8 | Female | White | 2013-01-05 00:00:00 | 152 | School Counselor | P | 259 | 75 | 75 | 96
9 | Female | Black/African American | 2013-01-04 00:00:00 | 152 | School Counselor | P | 258 | 71 | 78 | 92
10 | Female | White | 2013-01-05 00:00:00 | 152 | School Counselor | P | 243 | 63 | 69 | 88
11 | Female | White | 2013-01-05 00:00:00 | 152 | School Counselor | P | 258 | 83 | 91 | 71
12 | Female | White | 2013-01-02 00:00:00 | 152 | School Counselor | P | 273 | 96 | 81 | 92
13 | Female | Black/African American | 2013-01-03 00:00:00 | 152 | School Counselor | P | 268 | 96 | 81 | 83
14 | Female | White | 2013-01-05 00:00:00 | 152 | School Counselor | P | 253 | 77 | 83 | 71
15 | #[NAME] | Hispanic/Latino | 2013-01-04 00:00:00 | 152 | School Counselor | F | 225 | 58 | 66 | 67
16 | Female | White | 2013-01-04 00:00:00 | 152 | School Counselor | P | 276 | 83 | 97 | 92
17 | Female | White | 2013-03-06 00:00:00 | 152 | School Counselor | P | 259 | 71 | 84 | 88
18 | Female | White | 2013-03-07 00:00:00 | 152 | School Counselor | P | 247 | 83 | 75 | 75
19 | Female | White | 2013-03-07 00:00:00 | 152 | School Counselor | P | 257 | 79 | 78 | 83
20 | Female | Hispanic/Latino | 2013-03-07 00:00:00 | 152 | School Counselor | P | 248 | 67 | 81 | 75
21 | Male | Hispanic/Latino | 2013-03-07 00:00:00 | 152 | School Counselor | P | 271 | 79 | 88 | 100
22 | #[NAME] | Hispanic/Latino | 2013-03-07 00:00:00 | 152 | School Counselor | P | 247 | 71 | 75 | 88
23 | Female | White | 2013-03-07 00:00:00 | 152 | School Counselor | P | 290 | 96 | 91 | 100
24 | *Male | Hispanic/Latino | 2013-04-12 00:00:00 | 152 | School Counselor | F | 205 | 58 | 56 | 33
25 | Female | White | 2013-04-12 00:00:00 | 152 | School Counselor | P | 261 | 88 | 69 | 92
26 | Female | White | 2013-04-12 00:00:00 | 152 | School Counselor | P | 274 | 88 | 84 | 92
27 | Female | White | 2013-04-10 00:00:00 | 152 | School Counselor | P | 279 | 92 | 81 | 100
Spreadsheet: 39755d1238034226-combine-2-date-time-columns-combine-date-and-time-columns
Sheet: Sheet1

 | Date/Time 1 | value 1 |  | Date/Time 2 | value 2
 | 2009-03-20 07:02:00 | 1 |  | 2009-03-20 07:03:00 | 99
 | 2009-03-20 07:04:20 | 16 |  | 2009-03-20 07:19:21 | 86
 | 2009-03-20 07:06:00 | 2 |  | 2009-03-20 07:21:10 | 93
 | 2009-03-20 07:08:00 | 25
 | 2009-03-20 07:10:50 | 3
 | 2009-03-20 07:12:00 | 66
 | 2009-03-20 07:14:00 | 5
 | 2009-03-20 07:16:48 | 54
 | 2009-03-20 07:18:00 | 35
 | 2009-03-20 07:20:11 | 43
 | 2009-03-20 07:22:39 | 65
 | 2009-03-20 07:24:00 | 44
Spreadsheet: 98356d1297284930-dynamic-name-range-examplebook
Sheet: Sheet1

Key | Year sold | Sold Price |  |  | Desired Results
^0^1^0^1^ | 2009 | 200 |  |  | 1. dynamically create arrays by selecting the last row that does not have "" in it using "BigNum".
^0^1^0^0^ | 2009 | 275 |  |  | 2. find the [NAME]/min/average where the key = ^0^1^*^1^ and year is 2010
^0^1^0^1^ | 2009 | 302
^0^1^1^1^ | 2009 | 175
^0^1^0^0^ | 2009 | 210 |  |  | Here's what I think I'm supposed to be doing:
^0^1^0^1^ | 2009 | 425 |  |  | Max price
^0^1^0^1^ | 2009 | 330 |  |  | Year | [NAME]
^1^0^0^1^ | 2009 | 779 |  |  | 2010 |  | I tried using [NAME] to find the value
^0^1^0^0^ | 2009 | 125 |  |  | 2010 |  | I tried using "if" to find the value
^0^1^1^1^ | 2009 | 213
^0^1^1^1^ | 2010 | 217
^1^0^0^0^ | 2010 | 327 |  |  | Min Price
^1^0^0^1^ | 2010 | 449 |  |  | 2010 | (would be same as [NAME] only min.  :-)
^0^1^0^1^ | 2010 | 515
^0^1^0^0^ | 2010 | 213 |  |  | Average
^0^1^0^1^ | 2010 | 329 |  |  | 2010 |  | not working and I thought I could use [NAME] with wildcards?
^0^1^0^1^ | 2010 | 999 | Should Find this value for [NAME]
^1^0^0^1^ | 2010 | 477
^0^1^1^1^ | 2010 | 72 | should find this value for Min
^0^1^0^0^ | 2010 | 300
^1^0^0^0^ | 2010 | 301
^0^1^0^1^ | 2010 | 211 |  |  | Questions
^0^1^0^1^ | 2010 | 219 |  |  | Have I defined the arrays correctly?
^0^1^0^0^ | 2010 | 543 |  |  | Why aren't my [NAME]/min/avg working?
^1^0^0^1^ | 2010 | 762
 |  |  | entries go down to here
Spreadsheet: 83142d1283194429-finding-the-min-of-cells-grouped-in-pairs-snow1cse
Sheet: Sheet1

Restaurant Type |  | BER | BER | Snow+Sa;t
District
Unit # |  | 447 | 555
Address |  | 770 E Main St | 4602 [NAME]
City, State, Zip |  | Jackson OH 45640 | New Boston OH 45662
Incumbent Supplier |  | Lloyds Contracting | [NAME]
Incumbent RFI Score (100 possible)
Field Survey Rating (5 highest) |  | N/A | N/A
Current Pricing |  | 1615 | 200
Incumbent [NAME] |  | 170
Best Bidder [NAME]
Second Best Bidder [NAME] |  | ????
Best Bidding Supplier
Second Best Bidding Supplier
Annual Savings
% Savings
[NAME] (100 possible)
Second Best Bid RFI Score (100 possible) |  |  |  |  | <<< This formula needs to be Ctrl-Shift-Entered to work
Best Bid # of Locations Bid
Individual Location # of Bids |  |  |  | Total
[NAME] | Snow | 50 |  |  | << - Look at this formula
 | Salt | 50
 | RFI
[NAME] and Son Lawn Care | Snow | 100
 | Salt | 100
 | RFI
George's Snowplow Service | Snow
 | Salt
 | RFI
Althaus Farms | Snow
 | Salt
 | RFI
[NAME] and Snow Removal | Snow
 | Salt
 | RFI
[NAME]'s Snow Removal and Lawn Care | Snow
 | Salt
 | RFI
[NAME] and Lawn Care | Snow
 | Salt
 | RFI
[NAME] | Snow
 | Salt
 | RFI
S&K Mow and [NAME] | Snow
 | Salt
 | RFI
[NAME] | Snow | 110
 | Salt | 60
 | RFI
Firelands Lawn & Landscape | Snow
 | Salt
 | RFI
One Source | Snow
 | Salt
 | RFI
Showcase Lawn and Landscape | Snow
 | Salt
 | RFI
[NAME] LLC | Snow
 | Salt
 | RFI
Perfect Sweep | Snow
 | Salt
 | RFI
J's Lawn Care | Snow
 | Salt
 | RFI
Custom Lawn Care and Landscaping | Snow
 | Salt
 | RFI
[NAME] | Snow
 | Salt
 | RFI
#1 Landscaping | Snow
 | Salt
 | RFI
[NAME] | Snow
 | Salt
 | RFI
[NAME] | Snow | 288 | 288
 | Salt | 120 | 120
 | RFI
[NAME] LLC | Snow
 | Salt
 | RFI
[NAME]'s Landscaping
Cornerstone Landscape | Snow
 | Salt
 | RFI
Agroscapes Inc. | Snow
 | Salt
 | RFI
[NAME] and [NAME] | Snow
 | Salt
 | RFI
The Lawn Care Company | Snow
 | Salt
 | RFI
Martin's Landscaping Company | Snow
 | Salt
 | RFI
Halter | Snow
 | Salt
 | RFI
Classic Lawncare and Tree Trimming | Snow
 | Salt
 | RFI
[NAME] | Snow
 | Salt
 | RFI
EA Outdoor Services | Snow | 200 | 200
 | Salt | 110 | 110
 | RFI
HAM Landscaping | Snow
 | Salt
 | RFI
[NAME] | Snow
 | Salt
 | RFI
Custom Touch Builders ([NAME]) | Snow
 | Salt
 | RFI
Brickman Group | Snow | 184 | 184
 | Salt | 123 | 114
 | RFI
[NAME] Constructin Company | Snow
 | Salt
 | RFI
Yardmaster | Snow
 | Salt
 | RFI
 | Snow
 | Salt
 | RFI
 | Snow
 | Salt
 | RFI
 | Snow
 | Salt
 | RFI
 | Snow
 | Salt
 | RFI
 | Snow
 | Salt
 | RFI
 | Snow
 | Salt
 | RFI
 | Snow
 | Salt
 | RFI
 | Snow
 | Salt
 | RFI
 | Snow
 | Salt
 | RFI
 | Snow
 | Salt
 | RFI
 | Snow
 | Salt
 | RFI
 | Snow
 | Salt
 | RFI
 | Snow
 | Salt
 | RFI
 | Snow
 | Salt
 | RFI
 | Snow
 | Salt
 | RFI
 | Snow
 | Salt
 | RFI
 | Snow
 | Salt
 | RFI
 | Snow
 | Salt
 | RFI
 | Snow
 | Salt
 | RFI
 | Snow
 | Salt
 | RFI
 | Snow
 | Salt
 | RFI
 | Snow
 | Salt
 | RFI
 | Snow
 | Salt
 | RFI
 | Snow
 | Salt
 | RFI
 | Snow
 | Salt
 | RFI
 | Snow
 | Salt
 | RFI
 | Snow
 | Salt
 | RFI
Spreadsheet: 473364d1470168933-array-formulas-limitatins-could-be-pc-memory-size-problem-20160802-ef-multi-data-comparison-using-array-formulas
Sheet: 6 POINT LOOK

 | <-SHT REF |  | CODE CNT->
Count |  | Description | WEIGHT OFF (Kgs) | WEIGHT ON (Kgs)
1 | 1SAMBTSG
2
3
4
5
6
Spreadsheet: 00682437-8ec5-4565-8328-bd1c54db0aeb
Sheet: Sheet1

City Officials Statements | Unnamed: 1 | Unnamed: 2 | Unnamed: 3
For Quarter Ending 12/31/2012
(As of 1/25/2013)
Name | Title | Personal Benefits Reported | City Benefits Reported
Adams, Sam | Mayor | 1000
Ansary, Raihana | At-will staff for Mayor [NAME]
[NAME] | At-will staff for Commissioner Saltzman | 65.03
Chavier, Sofia | At-will staff for Mayor [NAME]
Clarke, [NAME] | At-will staff for Mayor [NAME]
Fish, [NAME] | Commissioner | 216.83 | 4140
Fritz, Amanda | Commissioner | 100
Gonzales, Cevero | At-will staff for Mayor [NAME]
Griffin-Valade, [NAME] | City Auditor
[NAME], [NAME] | At-will staff for Mayor [NAME]
[NAME], [NAME] | At-will staff for Mayor [NAME]
Leonard, [NAME] | Commissioner
[NAME], [NAME] | At-will staff for Mayor [NAME]
Mansoory, Atha | At-will staff for Mayor [NAME]
Marriot, [NAME] | Director of Bureau of Environmental Services
[NAME], [NAME] | Director of Office of Transportation
Morgan, [NAME] | At-will staff for Mayor [NAME]
Neal, Clay | At-will staff for Mayor [NAME]
Parisot, [NAME] | At-will staff for Mayor [NAME]
Pellegrino, [NAME] | Director of Government Relations
[NAME], [NAME] | At-will staff for Mayor [NAME]
Reese, [NAME] | Director of Bureau of Police
Ruiz, [NAME] | At-will staff for Mayor [NAME]
Saltzman, [NAME] | Commissioner
[NAME], [NAME] | Director of Bureau of Development Services
[NAME], [NAME] | At-will staff for Mayor [NAME] | 35
Thayer, Jeana | At-will staff for Mayor [NAME]
Uwagbae, Grace | At-will staff for Mayor [NAME]
Spreadsheet: 856305d1705589788-getting-number-out-of-a-row-excel-forum-help
Sheet: Sheet1

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 | 32 | 33 | 34 | 35
25 | 17 | 34 | 27 | 25 | 19 | 13 | 21 | 7.999999999999999 | 11 | 10 | 21 | 9.999999999999998 | 13 | 9 | 14 | 9 | 6 | 23 | 20 | 4 | 17 | 11 | 5 | 15 | 11 | 12 | 3 | 13 | 5 | 10 | 16 | 6 | 14 | 8.999999999999998
Spreadsheet: 464552d1465201948-create-list-summaries-book2
Sheet: Jobs

1 | Job 01
2 | Job 02
3 | Job 03
4 | Job 04
5 | Job 05
6 | Job 06
7 | Job 07
8 | Job 08
9 | Job 09
10 | Job 10
11 | Job 11
12 | Job 12
13 | Job 13
14 | Job 14
15 | Job 15
16 | Job 16
17 | Job 17
18 | Job 18
19 | Job 19
20 | Job 20
21 | Job 21
22 | Job 22
23 | Job 23
24 | Job 24
25 | Job 25
26 | Job 26
27 | Job 27
28 | Job 28
29 | Job 29
30 | Job 30
Spreadsheet: 79131d1279383754-excel-2007-graph-amount-per-time-interval-trucks
Sheet: Sheet1

DAY 1
ARRIVE TIME | LEAVE TIME
1900-01-01 00:00:00 | 1900-01-01 00:00:00
08:40:00 | 09:10:00
09:15:00 | 09:45:00
09:45:00 | 10:10:00
10:20:00 | 10:45:00
10:40:00 | 11:00:00
10:40:00 | 11:55:00
10:45:00 | 11:30:00
10:45:00 | 11:55:00
11:00:00 | 11:30:00
11:00:00 | 14:00:00
11:30:00 | 11:50:00
12:05:00 | 12:50:00
12:10:00 | 1900-01-01 00:00:00
12:30:00 | 13:00:00
12:35:00 | 12:50:00
12:50:00 | 13:25:00
12:30:00 | 01:15:00
13:25:00 | 13:45:00
13:35:00 | 13:55:00
13:45:00 | 14:35:00
13:50:00 | 14:05:00
14:35:00 | 14:45:00
15:00:00 | 15:25:00
15:20:00 | 16:00:00
16:20:00 | 16:50:00
16:25:00 | 16:30:00
16:27:00 | 16:45:00
16:55:00 | 17:25:00
15:00:00 | 17:50:00
17:45:00 | 18:05:00
17:30:00 | 18:10:00
18:00:00 | 19:00:00
18:30:00 | 19:00:00
DAY 2
07:00:00 | 07:50:00
07:00:00 | 08:00:00
07:00:00 | 08:30:00
08:10:00 | 08:40:00
08:05:00 | 08:30:00
08:45:00 | 10:00:00
09:00:00 | 09:30:00
10:05:00 | 11:04:00
08:45:00 | 09:26:00
09:36:00 | 10:20:00
09:30:00 | 09:50:00
09:40:00 | 10:40:00
08:45:00 | 10:30:00
09:00:00 | 10:30:00
10:54:00 | 11:22:00
11:00:00 | 11:26:00
11:10:00 | 11:30:00
11:30:00 | 11:50:00
11:38:00 | 12:10:00
11:39:00 | 12:10:00
11:40:00 | 12:10:00
Spreadsheet: 791685d1660550679-formula-enhancement-for-detecting-numbers-lower-or-greater-by-1-in-row-above-lower-or-greater-by-1
Sheet: PRP

NUMBERS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | LOWER by 1 | GREATER by 1 |  |  | PRIME | NON-prime | EVEN | ODD | NEXT |  |  |  |  |  |  |  |  |  | PRIME/NON-prime |  |  |  |  |  |  |  |  |  | EVEN/ODD
2 | 2 | 0 | 6
3 | 2 | 3 | 3
2 | 2 | 1 | 1
2 | 7 | 1
0 | 0 | 3 | 7
1 | 0 | 2 | 7
1 | 2 | 2 | 6
1 | 5 | 4 | 1
0 | 3 | 5
0 | 4 | 6
0 | 6 | 3
1 | 0 | 6 | 5
3 | 1 | 7
3 | 1 | 1 | 1
2 | 2 | 1 | 4
1 | 0 | 1
1 | 10
1 | 2 | 1 | 0
0 | 1 | 4 | 3