tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 468497d1467314318-vlookup-help-book3
Sheet: UPC

UPC | Number
ess.101 | fifty
60000638 | 1
60000642 | 1
60000822 | 1
60000866 | 1
60001711 | 2
60001749 | 0
60001835 | 0
60001919 | 2
60002038 | 1
60002395 | 2
60002647 | 2
60002652 | 1
60002713 | 1
60002817 | 1
60002818 | 0
60002844 | 0
60003007 | 1
60003012 | 2
60003052 | 0
60003148 | 0
60003176 | 0
60003178 | 0
60003180 | 0
60003183 | 0
60003184 | 2
60003185 | 2
60003270 | 2
60003271 | 2
60003272 | 1
60003292 | 2
60003694 | 2
60003695 | 2
60003789 | 2
60003790 | 0
60003945 | 2
60003947 | 2
60004162 | 0
60004163 | 2
60004165 | 2
60004166 | 0
60004356 | 2
60004435 | 2
60004437 | 2
60004513 | 2
60004514 | 2
60004517 | 2
60004519 | 0
60004547 | 0
60004549 | 2
60004587 | 2
60004624 | 0
60004625 | 2
60004778 | 2
60004780 | 0
60004918 | 0
60004919 | 2
60004920 | 2
60004959 | 0
60004961 | 2
60005006 | 2
60005008 | 2
60005012 | 0
60005034 | 2
60005040 | 0
60005041 | 0
60005042 | 2
60005043 | 1
60005044 | 2
60005045 | 2
60005130 | 2
60005133 | 0
60005250 | 0
60005340 | 2
60005842 | 2
60006195 | 2
60006422 | 2
60006424 | 2
60006618 | 2
60006698 | 2
60006752 | 2
60007191 | 2
60007224 | 2
60007234 | 2
60007264 | 2
60007266 | 2
60007268 | 2
60007270 | 2
60007329 | 2
60007330 | 2
60007331 | 2
60007332 | 2
60007390 | 2
60007392 | 2
60007393 | 2
60007395 | 2
60007494 | 2
60007537 | 2
60007539 | 0
60007579 | 2
60007580 | 0
60007719 | 2
60007727 | 2
60007728 | 2
60007731 | 2
60007788 | 2
60007813 | 0
60007822 | 2
60007826 | 0
60007917 | 0
60007926 | 2
60007955 | 2
60007958 | 2
60008053 | 2
60008066 | 1
60008125 | 2
60008131 | 0
60008175 | 2
60008341 | 2
60008370 | 1
60008380 | 0
60008415 | 0
60008510 | 1
60008512 | 2
60008543 | 2
60008545 | 2
60008578 | 2
60008703 | 2
60008739 | 2
60008769 | 2
60008770 | 2
60008776 | 2
60008846 | 2
60008850 | 2
60008881 | 0
60008889 | 2
60008890 | 2
60008937 | 1
60009036 | 0
60009039 | 2
60009361 | 2
60009362 | 2
60009364 | 0
60009529 | 2
60009530 | 2
60009531 | 2
60009536 | 2
60009538 | 0
60009633 | 2
60009650 | 2
60009752 | 2
60009753 | 2
60009761 | 2
60009765 | 2
60009839 | 0
60009920 | 2
60009953 | 2
60009994 | 2
60010099 | 2
60010217 | 2
60010223 | 2
60010251 | 2
60010432 | 2
60010433 | 2
60010526 | 2
60010551 | 2
60010589 | 2
60010903 | 2
60010959 | 2
60011141 | 2
60011240 | 2
60011368 | 2
Spreadsheet: 750966d1633749437-how-to-combine-a-formula-to-repeat-and-get-the-number-of-times-forum-help21-10-9
Sheet: Sheet1

Job number | Name |  |  | Name | number of times
118 | B
118 | B |  |  | B
118 | B
118 | B
118 | B
161 | B
161 | B
191 | B
191 | B
191 | B
191 | B
191 | B
162 | B
162 | B
162 | B
162 | B
168 | A
168 | A
168 | A
168 | A
168 | A
168 | A
Spreadsheet: 174041d1344894354-autopopulate-table-in-sheet-1-when-entries-are-put-into-sheet-2-3-4-etc-autofill-table-on-another-sheet
Sheet: Sheet - 01

 |  | Sheet # | Sheet - 01
 |  | Key | AA | AB | AC | AD | AE |  | Done
1 | 1 | Sheet - 01 | 1 | 2 | 9 | no | ZA |  | Yes
2 | 1 | Sheet - 01 | 1 | 3 | 9 | no | ZA |  | Yes
3 | 1 | Sheet - 01 | 1 | 4 | 9 | no | ZA |  | Yes
4 | 1 | Sheet - 01 | 1 | 2 | 9 | no | ZB |  | Yes
5 | 1 | Sheet - 01 | 1 | 3 | 9 | no | ZB |  | Yes
6 | 1 | Sheet - 01 | 1 | 4 | 9 | no | ZB |  | Yes
7 | 1 | Sheet - 01 | 1 | 2 | 9 | no | ZC |  | Yes
8 | 1 | Sheet - 01 | 1 | 3 | 9 | no | ZC |  | Yes
9 | 1 | Sheet - 01 | 1 | 4 | 9 | no | ZC |  | Yes
10 | 1 | Sheet - 01 | 1 | 2 | 9 | no | ZD |  | Yes
11 | 1 | Sheet - 01 | 1 | 3 | 9 | no | ZD |  | Yes
12 | 1 | Sheet - 01 | 1 | 4 | 9 | no | ZD |  | Yes
 |  | Sheet - 01
 |  | Sheet - 01
 |  | Sheet - 01
 |  | Sheet - 01
 |  | Sheet - 01
 |  | Sheet - 01
 |  | Sheet - 01
 |  | Sheet - 01
 |  | Sheet - 01
 |  | Sheet - 01
 |  | Sheet - 01
 |  | Sheet - 01
 |  | Sheet - 01
 |  | Sheet - 01
 |  | Sheet - 01
 |  | Sheet - 01
 |  | Sheet - 01
 |  | Sheet - 01
 |  | Sheet - 01
Spreadsheet: 36379d1234270185-multiple-countif-with-criteria-in-different-columns-copy-of-sample
Sheet: Sheet4

Count of Count | Count
Product | 0 | 7.5 | 15 | 18.75 | 22.5 | 22.875 | 30 | 37.5 | Grand Total
 |  |  | 1 |  | 1 |  | 2 | 5 | 9
Mig | 14 | 1 |  | 3 | 1 |  |  | 28 | 47
NextG | 5 | 1 | 1 | 1 | 1 | 4 | 2 | 21 | 36
Grand Total | 19 | 2 | 2 | 4 | 3 | 4 | 4 | 54 | 92
Spreadsheet: 218804d1362585279-football-league-table-database
Sheet: Sumário - Tabela 2-1

[NAME]
Swansea | 3 | 0 | West Ham
[NAME] | 1 | 3 | Everton
Man United | 3 | 2 | Fulham
[NAME] | 1 | 1 | QPR
Southampton | 0 | 2 | [NAME]
Tottenham | 1 | 1 | West Brom
Chelsea | 2 | 0 | Newcastle
Stoke City | 0 | 0 | Arsenal
Liverpool | 2 | 2 | Man City
Sunderland | 3 | 0 | Reading
Spreadsheet: 818106d1676589958-if-and-or-q-and-d-feb-with-summary-end
Sheet: 7th

1 | Defect ID | Unit ID | Unit Date | Prod Date | Act Date | Shift | Year | Serial | z | ID #1 | ID #2 | ID #3 | Product | Color #1 | Color #2 | Part | Location | Concern | [NAME] | Rank | Grid Label | Responsible Area | Responsible Cell | Recording User | Recording Area | Recording Cell | Recording Station | Defect Status | Root Cause | Root Cause User | Comments | sequence no | 1st | 2nd | 3rd | Date
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
Spreadsheet: daren_farmer__5067__HPLN0516
Sheet: Sheet1

HPLN0516.XLS |  | Fax # [PHONE]
TO:  DARREN FARMER / ENRON;  CARY METZ / ENRON;  [NAME] / HPL;  LIZ BELLAMY / ENRON
FROM:  MELISSA JONES - TXU ELECTRIC & GAS  (TU ELECTRIC)
SUBJECT:  TXU FUELS NOMINATION - May 16, 2001
 |  |  |  |  |  | **Wednesday
HPL AND ENRON NOMINATIONS: |  |  |  |  |  | 2001-05-16 00:00:00
 |  |  |  |  |  | Eff. 0900 hrs.
 |  |  |  |  | PRIOR | NOMINATED
CONTRACT |  | DELIVERY POINT |  | Upstream
 |  | Firm Summary
Enron (S) |  | Mivida |  | Enron | 0 | 10
Enron (S) |  | TUFCO Waha |  | Enron | 10 | 10
Enron (S) |  | Sandhills |  | Enron | 8 | 8
 |  | Enron North America Spot/3959
OTHER ENRON/HPL TRANSPORTS: |  |  |  | Downstream
 |  | Total Other Transports:
NOTE:  Additional swing volumes may be requested at Teco Tap, or Texoma by TUFCO Gas Control under either the
Wagner Brown K# 1901 or HPL K# 3949 agreements.
*  Nominations to continue until TU Electric changes such nominations.
CC:   [NAME] | [NAME]
R. Skerik | [NAME]
G. Green | K. English
B. Fleming | GCC Dispatcher
Spreadsheet: 276910d1384107360-same-name-in-cells-is-formatted-differently-how-can-i-replace-with-a-consistent-format-for-excel-forum-wk-10-11-10-13
Sheet: 4. Ryan's Rankings

Rank | Avg | Name | Team | Age | Att | Yards | TD | Fum | Rec | ReYd | ReTD | Comments
1 | 2.14 | LeSean McCoy | PHI | 25 | 200 | 840 | 2 | 4 | 54 | 373 | 3 | Showing his upside in a [NAME] offense
2 | 2.71 | [NAME] | KC | 26 | 285 | 1509 | 5 | 5 | 35 | 236 | 1 | Has not disappointed as the focal point of [NAME]'s offense
3 | 8.71 | Giovani Bernard | CIN | 21 | - | - | - | - | - | - | - | Electric player, huge dynasty value at only 21 years old
4 | 6 | [NAME] | IND | 22 | 267 | 950 | 11 | 3 | 51 | 367 | 1 | Struggles this year are a concern, but still a valuable asset at only 22 years old
5 | 6.43 | [NAME] | BUF | 26 | 207 | 1244 | 6 | 2 | 43 | 459 | 2 | Can never seem to [NAME]
6 | 3 | [NAME] | TB | 24 | 319 | 1454 | 11 | 1 | 49 | 472 | 1 | TB has struggled and affected Martin's performance. Still a stud, buy low.
7 | 5.57 | [NAME] | MIN | 28 | 348 | 2097 | 12 | 3 | 40 | 217 | 1 | The best RB in the game, but not the best dynasty option, long term
8 | 14.71 | Eddie Lacy | GB | 22 | - | - | - | - | - | - | - | Has impressed early in his career, GB may have found a workhorse back
9 | 10.57 | [NAME] | CHI | 27 | 248 | 1094 | 5 | 2 | 44 | 340 | 1 | Looks lean and rejuvenated in [NAME] offense
10 | 8.71 | [NAME] | SEA | 27 | 315 | 1590 | 11 | 4 | 23 | 196 | 1 | Becoming one of the most steady, reliable backs in the game
11 | 19.43 | [NAME] | MIA | 22 | 51 | 250 | 1 | 0 | 6 | 45 | 0 | Off to a slow start in 2013, but still carries value due to age & starting role
12 | 22.14 | [NAME] | PIT | 21 | - | - | - | - | - | - | - | Has overcome early injury, should be every down back in [NAME] for next few years
13 | 7.43 | [NAME] | BAL | 26 | 257 | 1143 | 9 | 1 | 61 | 478 | 1 | Has been inconsisten this year, but still a solid perfomer
14 | 16.86 | [NAME] | DET | 28 | 227 | 986 | 6 | 4 | 35 | 292 | 2 | Huge short term value, not as many carries as most 28 year olds
15 | 19.14 | [NAME] | NYG | 22 | 71 | 358 | 4 | 1 | 4 | 34 | 1 | Disappointing and now injured, losing value
I call this sheet "[NAME]'s Rankings" and use the term "[NAME]" on my initial spreadsheet.
I want to search this spreadsheet for [NAME], and return the ranking value of "7" AND the age of "28"
Spreadsheet: 157350d1337705674-excel-to-access-text-lf-and-cr-accessimport
Sheet: Sheet1

Data 1 | Data 2 | Data 3 | Data 4 | Data 5
186.3 | 1 | True | Text that goes here.  There are extra lines. | 1
194.1 | 0 | True | Sometimes it is  Multiple lines of text and a few long lines of text.  It really   just depends on the text box data | 2
201.9 | 1 | False | Sometimes it is just one single line of text and no lf or cr. | 3
209.7 | 0 | True | Vestibulum vel [NAME], ac viverra leo. Praesent in pharetra orci. Phasellus iaculis leo eget purus dictum feugiat.  Phasellus vehicula leo nec dui sodales commodo.  Vestibulum ullamcorper posuere tellus, a porttitor urna tristique at.  Fusce accumsan felis non sapien tristique pellentesque. Quisque molestie congue orci quis volutpat. [NAME] at mi velit. Nam facilisis blandit mauris, in luctus est   cursus mollis. [NAME] libero [NAME],  dignissim vitae elementum et, placerat eget enim. [NAME] sollicitudin suscipit hendrerit. Class aptent taciti sociosqu ad litora torquent per conubia nostra, per inceptos himenaeos. Vivamus luctus adipiscing massa, ac [NAME] eget. | 4
217.5 | 1 | True | Sometimes it is just one single line of text and no lf or cr. | 5
225.3 | 1 | False | Sometimes... it is...  Multiple lines of text and a few long lines of text.  It really   just depends on the text box data | 6
233.1 | 1 | True | Vestibulum vel [NAME], ac viverra leo. Praesent in pharetra orci. Phasellus iaculis leo eget purus dictum feugiat.  Phasellus vehicula leo nec dui sodales commodo. Vestibulum ullamcorper posuere tellus, a porttitor urna tristique at. Fusce accumsan felis non sapien tristique pellentesque. Quisque molestie congue orci quis volutpat. [NAME] at mi velit. Nam facilisis blandit mauris, in luctus est cursus mollis. [NAME] libero [NAME], dignissim vitae elementum et, placerat eget enim. [NAME] sollicitudin suscipit hendrerit. Class aptent taciti sociosqu ad litora torquent per conubia nostra, per inceptos himenaeos. Vivamus luctus adipiscing massa, ac [NAME] eget. | 7
Spreadsheet: 763330d1642105003-build-a-continuous-column-val-sku-store-lists
Sheet: Sheet1

Input |  |  |  |  | Ideal Output
Stores |  | Items |  |  | Stores | Item |  |  | 3 Items |  |  | 4 items
1 |  | A |  |  | 1 | A
2 |  | B |  |  | 1 | B
3 |  | C |  |  | 1 | C
4 |  | D |  |  | 2 | A
 |  |  |  |  | 2 | B
 |  |  |  |  | 2 | C
 |  |  |  |  | 3 | A
 |  |  |  |  | 3 | B
 |  |  |  |  | 3 | C
 |  |  |  |  | 4 | A
 |  |  |  |  | 4 | B
 |  |  |  |  | 4 | C
Spreadsheet: 85168d1285223209-divide-by-zero-errors-kitchen-replacement-programme-2010-11_revised_web_upload2
Sheet: Decent Homes Completions CPHA

 |  | Properties Instructed |  | Projected Spend
 |  | Proposed Property Completions |  | Initial Costs |  | Final Costs |  |  |  | Actual Property Completions |  | Actual Costs
 |  | Aug |  |  |  |  |  |  |  | Aug
 |  | Sept |  |  |  |  |  |  |  | Sept
 |  | Oct |  |  |  |  |  |  |  | Oct
 |  | Nov |  |  |  |  |  |  |  | Nov
 |  | Dec |  |  |  |  |  |  |  | Dec
 |  | Jan |  |  |  |  |  |  |  | Jan
 |  | Feb |  |  |  |  |  |  |  | Feb
 |  | Mar |  |  |  |  |  |  |  | Mar
 |  | Apr |  |  |  |  |  |  |  | Apr
 |  | May |  |  |  |  |  |  |  | May
 |  | Jun |  |  |  |  |  |  |  | Jun
 |  | All Properties |  | Projected Spend |  |  |  |  |  | Average Figures
 |  | Proposed Property Completions |  | Initial Costs |  | Final Costs
 |  |  |  |  |  |  |  |  |  | Initial Works Order Value
 |  | Aug
 |  | Sept |  |  |  |  |  |  |  | Variations
 |  | Oct
 |  | Nov |  |  |  |  |  |  |  | Final Works Order Value
 |  | Dec
 |  | Jan
 |  | Feb
 |  | Mar
 |  | Apr
 |  | May
 |  | Jun
 |  | Over All Totals
 |  | Initial Works Order Value
 |  | Variations
 |  | Final Works Order Value
Spreadsheet: 97629d1296753401-cross-sheet-calc-that-would-omit-0-possible-solution-but-am-getting-a-ref-error-2011trending
Sheet: 0103

01/03/11  Performance Data
 |  | 1st Work |  |  |  | QC |  |  | Total Points Earned | Unavailability |  | Actual Processing  Hours | Avg pts per hour
 |  | SURNOT SURNOTACKL MNBENMMIG SURDTHCERT | SURBENCSMG SURFRM SURVALDOD SURCUSFLUP SURSPLIGO SRSPNIGO SURBENSPLT RAIDPS RAIDNP/TAIDIN-IA FAID/FAIDWF IAID/FAIDCO SURINQ | SURBENRSCH SURBENUPDT RAIDPB RAIDAR | SURBENLEGL SURPAYLNPO | MNTBENMMIG SURSPLIGO SURSPNIGO SURBENSPLT RAIDPS FAID | SURBENRSCH (PASS) SURBENUPDT (PASS/FAIL) RAIDPB RAIDAR | SURBENRSCH (FAIL)
 |  |  |  |  |  |  |  |  |  | # of Hrs | Reason?
Team Members | Flint |  | 3 | 10 |  |  |  |  | 89 | 2 | reporting | 5.75 | 15.47826086956522
 | Dustin | 2 | 25 | 8 |  |  |  |  | 143 | 2.5 | trending/capmgmt | 5.5 | 26
 | Sharron | 9 | 7 | 15 |  |  |  |  | 159 |  |  | 9.25 | 17.18918918918919
 | Roxy | 1 | 7 | 11 |  |  |  |  | 111 | 0.5 | catch up | 7.75 | 14.32258064516129
 | [NAME] |  |  |  |  | 3 | 17 |  | 142 |  |  | 8.75 | 16.22857142857143
 | Ana |  |  |  |  |  |  |  | 0.01 |  | out of office | 0.01 | 1
 | [NAME] | 11 | 30 | 10 |  |  |  |  | 192 | 0.5 | CISS | 9 | 21.33333333333333
 | Petra | 3 |  |  |  | 1 | 12 | 3 | 128 | 1.75 | catch up | 9 | 14.22222222222222
 | Regina |  |  |  |  |  |  |  | 0.01 |  | out of office | 0.01 | 1
 | Noy |  |  |  |  | 2 | 6 | 10 | 132 | 0.5 | SWT | 7.25 | 18.20689655172414
 | [NAME] |  |  |  |  | 7 | 19 |  | 166 |  |  | 9.75 | 17.02564102564103
 | [NAME] | 31 |  |  |  |  |  |  | 62 |  | SME | 3.5 | 17.71428571428572
 | Michelle |  |  |  |  |  |  |  | 0.01 |  | out of office | 0.01 | 1
 | Keisha |  | 15 |  |  |  |  |  | 45 |  |  | 5 | 9
 | [NAME] |  | 13 | 5 |  |  |  |  | 79 |  |  | 9.25 | 8.54054054054054
TEAM TOTALS | Pts Earned: | 2 | 3 | 8 | 12 | 2 | 8 | 8 |  |  |  |  | 189.7209809796936
 | TASK VOLUME: | 57 | 100 | 59 | 0 | 13 | 54 | 13 | 1448 | 7.75 |  | 89.78 | 16.12831365560258
 | Pts Earned: | 114 | 300 | 472 | 0 | 26 | 432 | 104
 |  |  |  |  |  |  |  | Average PTS | 96.53533333333333 |  | Total Task Volume |  | 296
 | MID-DAY PPH  15.69
Spreadsheet: 844544d1696333399-extracting-values-vertically-based-on-two-categories-sample-workbook
Sheet: Output

S.No. | Apple | Orange | Pineapple | Mango |  |  |  |  |  |  |  |  |  |  |  |  |  |  | India
 | https://www.excelforum.com/excel-formulas-and-functions/1412585-extracting-values-vertically-based-on-two-categories.html | https://www.excelforum.com/excel-formulas-and-functions/ | https://www.excelforum.com/excel-formulas-and-functions/ | https://www.excelforum.com/excel-formulas-and-functions/ |  |  |  |  | Singapore |  | S.No. | Apple | Orange | Pineapple | Mango |  |  |  | Singapore
 | https://www.excelforum.com/excel-formulas-and-functions/ | https://www.excelforum.com/excel-formulas-and-functions/ | https://www.excelforum.com/excel-formulas-and-functions/ |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Nepal
 | https://www.excelforum.com/excel-formulas-and-functions/ | https://www.excelforum.com/excel-formulas-and-functions/ |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | France
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | USA
Spreadsheet: 96973d1296203824-prevent-cells-selction-of-conditionally-formatted-hidden-cells-new-invoice-template
Sheet: Bank Letter

 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Name | Picture Name
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | [NAME] | Picture 1 | Managing Director | [EMAIL]
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | [NAME] | Picture 2 | Administrator | [EMAIL]
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | [NAME] | Picture 3 | Graphic Designer | [EMAIL]
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Administrator | Picture 4 | Administrator | [EMAIL]
 |  |  |  | The Manager
Dear Sir/Madam
I am writing to enclose a Standing Order Mandate in favour of TWD Marketing Limited drawn on an account held at your branch. Please can you arrange for this to be processed accordingly.
Yiours sincerely,
Spreadsheet: 07a67ae0-0601-4d56-8045-309c5385b7ce
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | OWS-2 Cost Sharing Funds Request Form | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6
 |  | Company Name Here
Labor Funding Request |  |  |  |  |  | Running Total
Function or Task | WBS Task | Assigned Personnel | [NAME] | Projected Labor Hours | Task Funding Request
Write GetView spec | WBS 4.2.1 Item 3 | Sr. Software Eng. | 50 | 100 | 5000
Modify brand x client to support with GetView | WBS 4.2.1 Item 4 | Assoc. Software Eng. | 30 | 150 | 4500
 |  | Expand form as needed
Total Labor |  |  |  |  | 9500 | 9500
Travel Funding Request
Function or Event | Duration | Aspects of Travel | Est. Trip Cost | # of Travelers | Trip Funding Request
OWS-2 Kickoff | 3 days | flight, lodging, per diem | 3000 | 1 | 3000
OWS-2 Demo | 3 days | flight, lodging, per diem | 3000 | 2 | 6000
Total Travel |  |  |  |  | 9000 | 18500
Other Expense Requests
Expense Type | Purpose or Use | Justification | Est. Cost | Amount (Units) | Expense Funding Request
Brand X Server CPU | Host WBS software | Required by submitter in order to have adequate infrastructure to show results | 5000 | 1 | 5000
[NAME] (Seat licenses) | Data storage and retrieval | Required by submitter in order to have adequate infrastructure to show results | 3000 | 20 | 60000
Total Other Expenses |  |  |  |  | 65000 | 83500
Grand Total Matching Funds Request |  |  |  |  | 83500
Spreadsheet: 887201d1737451404-pulling-information-formulas-receiving-book-1-2-
Sheet: Tally Sheet

Product |  | UPC | Weight | Count | Customer
NFL Football | white | 90071 | 9960 | 24 | HOF
NFL Football | red | 90071 | 9960 | 24 | HOF
NFL Football | white | 90071 | 9960 | 24 | HOF
NFL Football | white | 90071 | 4150 | 10 | HOF
NFL Football | yellow | 90071A | 9960 | 24 | HOF
NFL Football | green | 90071J | 9960 | 24 | ATL
College Football | white | 80071 | 9960 | 24 | MIA
College Football | red | 80071 | 830 | 2 | MIA
College Football | white | 80071M | 4980 | 12 | FTL
Highschool Football | white | 20071 | 9960 | 24 | FPW
Highschool Football | white | 20071 | 9545 | 23 | FPW
Standard Baseball | red | 1422SS | 8700 | 60 | FPW
Standard Baseball | red | 1422SA | 8700 | 60 | FPW
Spreadsheet: 725342d1616631249-averaging-one-cell-based-on-number-of-times-cell-criteria-occurs-sample-data
Sheet: Orders

Order Number | Date | State | Price for Item | Shipping | State Tax | Fee | Total Cost | Total Net
m68796389420 | 2021-01-20 00:00:00 | TN |  |  |  |  |  | 28.44
785095192096585 | 2021-01-31 00:00:00 | AL | 25 | 5 | 2.4
880913659370153 | 2021-02-13 00:00:00 | MO | 8 | 5.5 | 0
m50396078189 | 2021-02-14 00:00:00 | CO | 30 |  |  |  |  | 25.83
4117274388297433 | 2021-02-21 00:00:00 | WA | 20 | 9 | 2.41
464982971316861 | 2021-03-23 00:00:00 | TX | 8 | 3.75 | 0.97
Spreadsheet: 236486d1368804484-sequence-conundrum-sequence_problem-ciaran01-oeldere-
Sheet: Sheet1

GL Code | TB Group | Column Required
141001 | Cash | [NAME]
141001 | Cash | [NAME]
141002 | Cash | Cash2
148001 | Equalisation | Equalisation1
148002 | Equalisation | Equalisation2
148001 | Equalisation | Equalisation1
Spreadsheet: 108178d1305232693-adding-a-unique-hyperlinks-to-a-column-quickly-book1
Sheet: Sheet1

4329-03-01 00:00:00
4339-03-01 00:00:00
4342-03-01 00:00:00
4368-03-01 00:00:00
4378-03-01 00:00:00
4379-03-01 00:00:00
4382-03-01 00:00:00
4391-03-01 00:00:00
4400-03-01 00:00:00
4405-03-01 00:00:00
4408-03-01 00:00:00
4421-03-01 00:00:00
4433-03-01 00:00:00
4438-03-01 00:00:00
4441-03-01 00:00:00
4453-03-01 00:00:00
4469-03-01 00:00:00
4474-03-01 00:00:00
4502-03-01 00:00:00
4509-03-01 00:00:00
4512-03-01 00:00:00
4524-03-01 00:00:00
4526-03-01 00:00:00
4529-03-01 00:00:00
4537-03-01 00:00:00
4538-03-01 00:00:00
4540-03-01 00:00:00
4545-03-01 00:00:00
4554-03-01 00:00:00
4574-03-01 00:00:00
4576-03-01 00:00:00
4578-03-01 00:00:00
4582-03-01 00:00:00
4591-03-01 00:00:00
4596-03-01 00:00:00
4604-03-01 00:00:00
4608-03-01 00:00:00
4611-03-01 00:00:00
4612-03-01 00:00:00
4618-03-01 00:00:00
4619-03-01 00:00:00
4631-03-01 00:00:00
4633-03-01 00:00:00
4634-03-01 00:00:00
4635-03-01 00:00:00
4636-03-01 00:00:00
4644-03-01 00:00:00
4645-03-01 00:00:00
4654-03-01 00:00:00
4655-03-01 00:00:00
4660-03-01 00:00:00
4665-03-01 00:00:00
4671-03-01 00:00:00
4676-03-01 00:00:00
4687-03-01 00:00:00
4690-03-01 00:00:00
4691-03-01 00:00:00
4697-03-01 00:00:00
4705-03-01 00:00:00
4712-03-01 00:00:00
Spreadsheet: 706195d1606520169-find-the-value-in-a-range-and-return-the-adjacent-cell-sample-3
Sheet: Medical Scale

Level | 1 | 1 | 1 | 1 | 2 | 2 | 2 | 2 | 3 | 3 | 3 | 3 | 4 | 4 | 4 | 4 | 5 | 5 | 5 | 5 | 6 | 6 | 6 | 6 | 7 | 7 | 7 | 7
Grade | 1 | 2 | 3 | 4 | 1 | 2 | 3 | 4 | 1 | 2 | 3 | 4 | 1 | 2 | 3 | 4 | 1 | 2 | 3 | 4 | 1 | 2 | 3 | 4 | 1 | 2 | 3 | 4
Consultant | 25415 | 26105 | 26795 | 27485 | 29225 | 29990 | 30755 | 31520 | 33230 | 34060 | 34890 | 35720 | 37330 | 38230 | 39130 | 40030 | 41505 | 42475 | 43445 | 44415 | 45725 | 46760 | 47795 | 48830 | 49945 | 51055 | 52165 | 53275
Senior Registrar+Reg | 19025 | 19580 | 20135 | 20690 | 22110 | 22730 | 23350 | 23970 | 25375 | 26055 | 26735 | 27415 | 28795 | 29540 | 30285 | 31030 | 32310 | 33110 | 33910 | 34710 | 35870 | 36735 | 37600 | 38465 | 39465 | 40395 | 41325 | 42255
Resident | 15640 | 16135 | 16630 | 17125 | 18450 | 19005 | 19560 | 20115 | 21420 | 22040 | 22660 | 23280 | 24565 | 25245 | 25925 | 26605 | 27845 | 28590 | 29335 | 30080 | 31220 | 32020 | 32820 | 33620 | 34615 | 35480 | 36345 | 37210
Consultant | 16060 | 16565 | 17070 | 17575 | 18310 | 18870 | 19430 | 19990 | 20670 | 21290 | 21910 | 22530 | 23100 | 23775 | 24450 | 25125 | 25580 | 26315 | 27050 | 27785 | 28060 | 28850 | 29640 | 30430 | 31840 | 32695 | 33550 | 34405
Senior Pharmacist | 13310 | 13785 | 14260 | 14735 | 15495 | 16000 | 16505 | 17010 | 17640 | 18200 | 18760 | 19320 | 19885 | 20505 | 21125 | 21745 | 22195 | 22870 | 23545 | 24220 | 24545 | 25280 | 26015 | 26750 | 28045 | 28835 | 29625 | 30415
Pharmacist | 10760 | 11200 | 11640 | 12080 | 12835 | 13310 | 13785 | 14260 | 14925 | 15430 | 15935 | 16440 | 16970 | 17530 | 18090 | 18650 | 19110 | 19730 | 20350 | 20970 | 21300 | 21975 | 22650 | 23325 | 24525 | 25260 | 25995 | 26730
Consultant | 12645 | 13120 | 13595 | 14070 | 14905 | 15410 | 15915 | 16420 | 17310 | 17870 | 18430 | 18990 | 19990 | 20610 | 21230 | 21850 | 22940 | 23615 | 24290 | 24965 | 26170 | 26905 | 27640 | 28375 | 29670 | 30460 | 31250 | 32040
Senior Specialist | 10530 | 10970 | 11410 | 11850 | 12630 | 13105 | 13580 | 14055 | 14895 | 15400 | 15905 | 16410 | 17295 | 17855 | 18415 | 18975 | 19970 | 20590 | 21210 | 21830 | 22930 | 23605 | 24280 | 24955 | 26155 | 26890 | 27625 | 28360
Specialist | 8560 | 8970 | 9380 | 9790 | 10520 | 10960 | 11400 | 11840 | 12620 | 13095 | 13570 | 14045 | 14880 | 15385 | 15890 | 16395 | 17280 | 17840 | 18400 | 18960 | 19960 | 20580 | 21200 | 21820 | 22910 | 23585 | 24260 | 24935
Technician | 5610 | 5970 | 6330 | 6690 | 7315 | 7695 | 8075 | 8455 | 9140 | 9550 | 9960 | 10370 | 11100 | 11540 | 11980 | 12420 | 13200 | 13705 | 14210 | 14715 | 15595 | 16155 | 16715 | 17275 | 18275 | 18895 | 19515 | 20135
Med. Assistant | 4725 | 5020 | 5315 | 5610 | 6130 | 6455 | 6780 | 7105 | 7680 | 8040 | 8400 | 8760 | 9385 | 9765 | 10145 | 10525 | 11210 | 11650 | 12090 | 12530 | 13310 | 13815 | 14320 | 14825 | 15705 | 16265 | 16825 | 17385