tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 63620d1264518169-how-to-validate-two-column-to-get-the-result-example2
Sheet: worksheetA

Name | Data | Output
May | A | 1
May | B | 0
Eva | A | 1
Eva | B | 1
Eva | C | 1
[NAME] | A | 0
[NAME] | C | 1
[NAME] | C | 0
[NAME] | D | 1
Spreadsheet: 785893d1656794284-new-to-excel-and-csv-how-to-move-data-under-the-same-name-into-another-csv-file-book3
Sheet: Sheet1

1001 | Mariya | Company AA | coffee
1002 | Mariya | Company AA | pears
1003 | [NAME] | Company B | coffee
1004 | [NAME] | Company B | beer
1005 | Mariya | Company AA | chocolate
1006 | Mariya | Company AA | tea
Spreadsheet: 0d28c796-2030-4953-9fa5-f6b5fea3dd7b
Sheet: Sheet1

PENNSYLVANIA EMERGENCY MANAGEMENT AGENCY
Hazard Mitigation Monthly Reconciliation Report
Reporting Month and Year:
Project Type:
Grant Year:
FEMA Identification Number:
Project Title & Location:
Township/County
Applicant’s Name (POC):
Applicant’s Telephone #:
Applicant’s Fax #:
Project Approval Date:
Project Start Date:
Anticipated Completion Date:
Percent Complete:
FINANCIAL DATA:
 |  | Total Funds Approved | Funds Advanced | Funds Expended | Funds Remaining | Funds Remaining
Account Balance
Federal Funds
Local Match
Interest Earned: |  |  |  | 0
Accumulated Interest: |  |  |  | 0
Anticipated Cost Overrun/Underrun: |  |  |  | 0
Summary of work completed past month:
Summary of anticipated work coming month:
Existing or potential changes or problems:
Summary of project status:
Distribution:
Spreadsheet: 1886d2ef-4b64-4be8-acff-69473226614b
Sheet: Sheet1

Number of Agencies and Population Covered | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4
by Population Group, 2011
Population Group | Crime in the United States |  | National Incident-Based Reporting System
 | Number of participating agencies | Population covered | Number of participating agencies | Population covered
Total | 18233 | 311591917 | 5880 | 87201771
Group I (Cities 250,000 and over) | 75 | 56398148 | 17 | 8695354
Group II (Cities 100,000 − 249,999) | 209 | 31323512 | 57 | 8389272
Group III (Cities 50,000 − 99,999) | 473 | 32816692 | 140 | 9809092
Group IV (Cities 25,000 − 49,999) | 888 | 30762527 | 296 | 10167061
Group V (Cities 10,000 − 24,999) | 1929 | 30586844 | 597 | 9398715
GroupVI1 (Cities under 10,000) | 9499 | 26669678 | 3041 | 8679331
Metropolitan Counties1 | 2111 | 72213378 | 586 | 19844119
Nonmetropolitan Counties1 | 3049 | 30821138 | 1146 | 12218827
1Includes universities and colleges, state police agencies, tribal agencies, other state agencies, and/or other agencies to which no population is attributed.
Spreadsheet: 137488d1327155812-pivot-table-nba-stats-show-last-5-games-pt-helper-nba-stats-tables-new
Sheet: Sheet1

 | [NAME] | (Multiple Items) | <<Change this filter for 1 to 5 for last 5 games only
 |  | VVV Change this filter to decide which stat(s) you need to see
 | Average of Last Game | Column Labels
 | Row Labels | NBA Team Field Goals Made per Game | NBA Team Free Throw % | Grand Total
 | Atlanta | 35.6 | 0.7454000000000001 | 18.1727
 | Boston | 30.4 | 0.7852 | 15.5926
 | Grand Total | 33 | 0.7653000000000001 | 16.88265
Spreadsheet: 782753d1654240820-finding-the-min-and-max-of-alphanumeric-values-based-on-multiple-criteria-test
Sheet: Sheet1

ID | C1 | C2 | [NAME] | BIN |  |  | C1 | C2 | [NAME] | BIN_MIN | BIN_MAX | [ ax
5 | A | F | L | AA506 |  |  | A | M | L | [NAME] | AA484
2 | A | F | L | [NAME] | [NAME] |  | A | F | L | AA506 | AB076
6 | A | F | L | AB066 | Hi |  | A | F | M | AB224 | [NAME]
3 | A | F | L | AB001 |  |  | B | F | N | BD188 | BD203
765 | A | F | M | AB224 |  |  | A | M | M
764 | A | F | M | AB283 |  |  | B | M | L
763 | A | F | M | AB293 |  |  | B | F | L
766 | A | F | M | [NAME]
4 | A | M | L | [NAME]
1 | A | M | L | AA484
769 | A | M | M | AB113
762 | A | M | M | AB126
767 | A | M | M | AB130
3 | B | F | L | AD404
1 | B | F | L | AD422
2 | B | F | L | AD432
3349 | B | F | N | [NAME]
3350 | B | F | N | BD188
3348 | B | F | N | BD201
3347 | B | F | N | BD203
228 | B | M | L | AC101
214 | B | M | L | BA142
227 | B | M | L | BA145
189 | B | M | L | BA361
Spreadsheet: 479438d1473356777-converting-rows-to-columns-sample-data
Sheet: Division Emp

ID | Name | Location |  |  | Location | ID | Name | ID | Name | ID | Name | ID | Name
109585 | [NAME] | 0001 |  |  | 0001
110504 | [NAME] | 0001 |  |  | 0006
112264 | [NAME] | 0001 |  |  | 0008
113079 | [NAME] | 0006 |  |  | 0010
115254 | Aundrea McCadams | 0006 |  |  | 0011
115540 | [NAME] | 0006 |  |  | 0013
126861 | [NAME] | 0008
132071 | [NAME] | 0008 |  |  | What I need it to look like.
310832 | [NAME] | 0010
367207 | [NAME] | 0011
383678 | [NAME] | 0013
384484 | [NAME] | 0013
114102 | [NAME] | 0013
Raw Data is Above
Spreadsheet: 760226d1640087923-getting-data-from-different-tabs-book1
Sheet: WC 29th Nov

 |  | STARTS FROM (SCROLL RIGHT to see [NAME] IN --->)
[NAME] | [NAME] | 2021-11-29 00:00:00 | Daily site upload |  | Daily site upload |  | Daily site upload |  | Daily site upload |  | Daily site upload | in week total | previous week total
West London | A | 258 |  | 262 |  | 266 |  | 269 |  | 269
 | B | 553 |  | 562 |  | 578 |  | 580 |  | 583
 | C | 319 |  | 320 |  | 328 |  | 328 |  | 331
 | D | 596 |  | 632 |  | 632 |  | 636 |  | 646
 | E | 468 |  | 471 |  | 477 |  | 480 |  | 480
 | F | 255 |  | 256 |  | 258 |  | 258 |  | 258
 | G | 601 |  | 603 |  | 608 |  | 609 |  | 610
 | H | 277 |  | 278 |  | 280 |  | 281 |  | 281
 | I | 202 |  | 204 |  | 206 |  | 206 |  | 210
 | J | 236 |  | 238 |  | 238 |  | 238 |  | 239
 | K | 371 |  | 374 |  | 376 |  | 377 |  | 379
 | L | 326 |  | 333 |  | 337 |  | 338 |  | 341
 | M | 380 |  | 382 |  | 389 |  | 390 |  | 390
 | Totals
 |  |  | Day 1 |  | Day 1+2 | copied 23rd | Day 1+2+3 |  | Day 1+2+3+4 | copied 25th | Day 1+2+3+4+5
Spreadsheet: 717297d1612556504-if-or-vlookup-depending-on-what-column-c-says-how-do-i-look-up-its-value-sample-data
Sheet: Tab 1

Order # | Provider | Regular Fee | Service | DDU Rate | DDP Rate | Final Postal Rate?
85594-089 | APC | 11.49 | DDP |  | 51.45
85594-088 | APC | 11.49 | DDU | 39.26
27331 | UPS | 20.46 | Ground
10286 | Stamps.com | 14.13 | FCM
10285 | Stamps.com | 8.67 | PM
Spreadsheet: 842959d1694948761-blood-pressure-chart-help-please-test-2-
Sheet: Sheet1

Date | Morning |  | Afternoon |  | Night |  |  | Show values for | 5 |  |  | Morning |  | Afternoon |  | Night
 | Sys | [NAME] | Sys | [NAME] | Sys | [NAME] | Raw data | days, going back from | 2023-09-14 00:00:00 |  |  | Sys | [NAME] | Sys | [NAME] | Sys | [NAME] |  | Data for the graph
2023-09-07 00:00:00 | 170 | 92 | 148 | 84 | 180 | 71 |  |  |  |  |  | 179 | 85 | 136 | 73 | 147 | 73
2023-09-08 00:00:00 | 152 | 73 | 132 | 72 | 158 | 70 |  |  |  |  | 2023-09-11 00:00:00 | 162 | 86 | 161 | 87 | 183 | 73
2023-09-09 00:00:00 | 127 | 84 | 182 | 100 | 161 | 92 |  |  |  |  | 2023-09-12 00:00:00 | 161 | 76 | 134 | 83 | 120 | 96
2023-09-10 00:00:00 | 179 | 85 | 136 | 73 | 147 | 73 |  |  |  |  | 2023-09-13 00:00:00 | 135 | 83 | 172 | 79 | 188 | 79
2023-09-11 00:00:00 | 162 | 86 | 161 | 87 | 183 | 73 |  |  |  |  | 2023-09-14 00:00:00 | 186 | 75 | 186 | 93 | 156 | 90
2023-09-12 00:00:00 | 161 | 76 | 134 | 83 | 120 | 96
2023-09-13 00:00:00 | 135 | 83 | 172 | 79 | 188 | 79
2023-09-14 00:00:00 | 186 | 75 | 186 | 93 | 156 | 90
2023-09-15 00:00:00 | 137 | 97 | 182 | 100 | 170 | 77
Spreadsheet: 798323d1664425220-unpivot-columns-without-power-query-unpivot-columns-without-power-query
Sheet: Sheet1

Province | City #1 | City #2 | City #3 | City #4 | City #5 |  |  |  | Desired Result in Dynamic Array WITHOUT Power Query
Ontario | Toronto | Ottawa | Kingston
British Columbia | Vancouver | Victoria | [NAME] | [NAME] |  |  |  |  | Province | City
Alberta | Edmonton | Calgary |  |  |  |  |  |  | Ontario | Toronto |  |  | Toronto
Quebec | Montreal |  |  |  |  |  |  |  | Ontario | Ottawa |  | Ontario | Ottawa
 |  |  |  |  |  |  |  |  | Ontario | Kingston |  | Ontario | Kingston
 |  |  |  |  |  |  |  |  | British Columbia | Vancouver |  | British Columbia | Vancouver
 |  |  |  |  |  |  |  |  | British Columbia | Victoria |  | British Columbia | Victoria
 |  |  |  |  |  |  |  |  | British Columbia | [NAME] |  | British Columbia | [NAME]
 |  |  |  |  |  |  |  |  | British Columbia | [NAME] |  | British Columbia | [NAME]
 |  |  |  |  |  |  |  |  | Alberta | Edmonton |  | Alberta | Edmonton
 |  |  |  |  |  |  |  |  | Alberta | Calgary |  | Alberta | Calgary
 |  |  |  |  |  |  |  |  | Quebec | Montreal |  | Quebec | Montreal
Spreadsheet: 266779d1379740302-how-to-one-text-be-converted-to-another-example
Sheet: Sheet1

 | Codes | lukarts code
 | MI-ACCMED
 | DG-CCSS-1104 | DG-CCSS-1104
 | EDG-CCSS-1104 | DG-CCSS-1104
 | MI-SACW
 | MI-ADCENT
 | MI-MIAMS | MI-MIAMS
 | MI-MIAMSHC | MI-MIAMS
 | MI-MIAMSNT | MI-MIAMS |  |  | this is like example, only there is much more trainings.
 | MI-MIAMSNAF | MI-MIAMS
 | MI-MIAMSWBS | MI-MIAMS
 | MI-ADNGS
 | MI-PESEM
Spreadsheet: 697881d1601581019-scheduling-formula-if-this-criteria-is-met-copy-cell-text-to-a-different-page-simple-rn-schedule
Sheet: Daily 2

Daily HC Schedule | Medicare | hrs MCR | A-Wing | hrs NCC | B-Wing | hrs NCC2
Census >>
Days
Nurse  6:30a-7:00p
QMA/Nurse 6:30a-7:00p
C.N.A. 6:30a-7:00p |  |  |  |  | Smith | 12
C.N.A. 6:30a-7:00p
Evenings/Nights
Nurse 6:30p-7:00a | Jared | 12
QMA/Nurse 6:30p-7:00a
C.N.A. 6:30m-7:00a
C.N.A. 6:30p-7:00a
Spreadsheet: 100617d1298930480-solved-rounddown-not-rounding-down-rounddown
Sheet: ROUNDDOWN

Type | Base | Multiplier | L15H | L15M | Tier | Adj Base | Base + Comm | BONUS LEVEL H | BONUS LEVEL M |  |  | [NAME]Bonus | Base + Comm w/Bonus
I | 195 | 1.5 | 30 | 15 | 100 | 217 | 412 | 9 | 4 | 0.29 | 0.1 | 232.5 | 427.5
CT | 65 | 0.5 | 30 | 15 | 100 | 72 | 137 | 9 | 4 | 0.29 | 0.1 | 77.5 | 142.5
[NAME] | 390 | 3 | 30 | 15 | 100 | 435 | 825 | 9 | 4 | 0.29 | 0.1 | 465 | 855
A | 162 | 1.25 | 30 | 15 | 100 | 181 | 343 | 9 | 4 | 0.29 | 0.1 | 193.75 | 355.75
Bonus Lv | Add
1 | 0.02
2 | 0.05
3 | 0.07
4 | 0.1
5 | 0.15
6 | 0.18
7 | 0.22
8 | 0.25
9 | 0.29
10 | 0.33
11 | 0.38
12 | 0.43
13 | 0.48
14 | 0.54
15 | 0.6
16 | 0.67
17 | 0.75
18 | 0.82
19 | 0.91
20 | 1
Spreadsheet: 687708d1595356741-sumproduct-formula-help-to-total-numbers-per-month-dashboardhelp
Sheet: Analysis

 |  | Select Month |  | Jul |  | Running Total
 |  | Buddy Requests |  |  |  | Awaiting Pairing
 |  | Buddy Paired |  |  |  | Contact Made
Done | 1 | Select month to be a drop down
Think done | 2 | Buddy requests, the number of requests per month from tab 2 column A
 | 3 | Buddy paired, the number of pairs per month that have buddied up to a requestor (second 2 tab column D)
Done | 4 | Running total, the total number of requests in tab 2
 | 5 | Awaiting pairing, the number of blanks per month in tab 2 column D
 | 6 | Contact Made, the number of Yes in tab 2 column F per month
Spreadsheet: 167100d1341901330-filtering-one-specific-name-in-excel-2010-copy-of-morning-attendance-2-
Sheet: 20 March 2012

Daily Morning Staff |  |  |  |  | Tuesday
 | 07:30-14:30 |  | 2012-03-20 00:00:00
Name | Staff No. | Title | Time In | Out | Locations | Remarks
Naima Mohamed | 2166 | Client Relation Supervisor | 07:30:00 | 14:30:00 | EFS
Sheikha [NAME] | 2120 | Reservation Officer | 07:30:00 | 14:30:00 | TOPS
Syed Sultan | 2888 | Supervisor | 07:30:00 | 14:30:00 | EFS | Annual Leave
[NAME] | 4143 | Aircraft Team Leader | 07:30:00 | 14:30:00 | EFS
Jalil Nushadi | 1889 | Driver | 05:45:00 | 14:30:00 | EFS
[NAME] | 624 | Driver | 07:30:00 | 14:30:00 | EFS
Soud Sharar | 2097 | [NAME] Officer | 09:30:00 | 14:30:00 | [NAME] | late 09:30
[NAME] | 1897 | Manager | 07:30:00 | 14:30:00 | EFS | Sick leave
[NAME] | 4440 | Attendant | 07:30:00 | 14:30:00 | EFS | Annual Leave
[NAME] | 1861 | Duty Officer | 07:30:00 | 14:30:00 | EFS
Spreadsheet: 269005d1380912724-lookup-to-return-multiple-values-file-attached-sample-file
Sheet: Sheet1

Ticker: | Number of Clients: | Name of Client(s) | Total Assets
ABC
XYZ
L
M
N
O
P
 |  | *Want each row to include all names in the same box. Thus, if there are 3 clients in the fund, I'd want it to say "Client A, Client B, Client C"
Spreadsheet: 271940d1382113554-creating-arrays-from-multiple-worksheets-example
Sheet: #1

Calibration | LAT | 71
None. | Weigh | 18
Automated | Sample | 20
Tooling | Post | 19
Station | Pack-out | 10
Machine | Operator | 56
Traceibility | Percent | 48
Spreadsheet: 140619d1328821171-inventory-yfeb-food-total-values
Sheet: 2-8-12

 | Breakfast | Quantity | Measure | Food Item | Cost | Daily Points
 |  | 1 | Cup | Cheerios
 | Daily Total | 0.5 | Cup | Milk
 | Lunch | Quantity | Measure | Food Item | Cost | Daily Points
 |  | 1 | Piece | English Muffin
 |  | 24 | Gram | [NAME]
 |  | 29 | Gram | Turkey
 |  | 1 | Slice | [NAME]
 |  | 0.5 | Piece | [NAME]
 |  | 2 | Stick | Carrot
 |  | 0.25 | Slices | Tomatoes on the Vine
 |  | 1 | Pack | Honey and Oats
 | Dinner | Quantity | Measure | Food Items | Cost | Daily Points
 |  | 1 | Serving | [NAME]
Spreadsheet: 25119d1216237001-finding-matches-inside-a-whole-column-help
Sheet: FR Ports

COL A | Which values in Col F match values in Col A | which values in Col F match values in D | COL D | COL E | COL F
11.OBFJ.000095..SUV | #N/A | #N/A | .OBFJ.000017..SUV | 36037 | 41.HCGS.983503..SUV
11.OBFJ.000161..SUV | #N/A | #N/A | 11.HCFJ.000061..SUV | 36037 | 41.HCGS.999633..SUV
11.OBFJ.000784..SUV | #N/A | #N/A | 11.HCFJ.000092..SUV | 36037 | 41.HCGS.999657..SUV
14.OBFJ.000039..SUV | #N/A | #N/A | 11.HCFJ.000100..SUV | 36037 | 41.HXGS.999587..SUV
15.OBFJ.000029..SUV | #N/A | #N/A | 11.HCFJ.000360..SUV | 36037 | 41.HXGS.999681..SUV
15.OBFJ.000043..SUV | #N/A | #N/A | 11.HCFJ.000362..SUV | 36037 | 41.HXGS.999682..SUV
21.OBGJ.000009..SUV | #N/A | #N/A | 11.HCFJ.000363..SUV | 36037 | 41.HXGS.999737..SUV
22.OBGJ.000188..SUV | #N/A | #N/A | 11.HCFM.000053..SUV | 36037 | 43.HCGM.003521..SUV
22.OBGJ.000797..SUV | #N/A | #N/A | 11.HCFM.000058..SUV | 36033 | 43.HCGS.989971..SUV
41.HCGS.983503..SUV | #N/A | #N/A | 11.HCFM.000105..SUV | 36033 | 43.HXGS.988850..SUV
41.HCGS.999622..SUV | #N/A | #N/A | 11.HCFM.000108..SUV | 36033 | 43.HXGS.988883..SUV
41.HCGS.999633..SUV | #N/A | #N/A | 11.HCFM.000125..SUV | 36033 | 43.XHGS.989565..SUV
41.HCGS.999657..SUV | #N/A | #N/A | 11.HCFM.000133..SUV | 36033 | 44.HCGS.999901..SUV
41.HCGS.999937..SUV | #N/A | #N/A | 11.HCFM.000141..SUV | 36049 | 45.HCGM.002249..SUV
41.HXGS.999587..SUV | #N/A | #N/A | 11.HCFM.000146..SUV | 36067 | 45.HCGM.008475..SUV
41.HXGS.999681..SUV | #N/A | #N/A | 11.HCFM.000300..SUV | 36098 | 45.HCGM.009612..SUV
41.HXGS.999682..SUV | #N/A | #N/A | 11.HCFM.000304..SUV | 36033 | 45.HCGS.000168..SUV
41.HXGS.999737..SUV | #N/A | #N/A | 11.HCFM.000336..SUV | 36070 | 45.HCGS.000180..SUV
41.OBGJ.000088..SUV | #N/A | #N/A | 11.HCFM.000355..SUV | 36033 | 45.HCGS.000712..SUV
42.OBGJ.000070..SUV | #N/A | #N/A | 11.HCFM.000380..SUV | 36033 | 45.HCGS.000715..SUV
43.HCGM.003521..SUV | #N/A | #N/A | 11.HCFM.000395..SUV | 36043 | 45.HCGS.000818..SUV
43.HCGS.989820..SUV | #N/A | #N/A | 11.HCFM.000420..SUV | 36030 | 45.HCGS.008731..SUV
43.HCGS.989971..SUV | #N/A | #N/A | 11.HCFM.000422..SUV | 36037 | 45.HCGS.984471..SUV
43.HCGS.989971..SUV | #N/A | #N/A | 11.HCFM.000425..SUV | 36033 | 45.HCGS.988621..SUV
43.HXGS.988850..SUV | #N/A | #N/A | 11.HCFM.000429..SUV | 36037 | 45.HCGS.999488..SUV
43.HXGS.988883..SUV | #N/A | #N/A | 11.HCFM.000436..SUV | 36075 | 45.HCGS.999688..SUV
43.OBGJ.000284..SUV | #N/A | #N/A | 11.HCFM.000450..SUV | 36033 | 45.HCGS.999776..SUV
43.OBGJ.000297..SUV | #N/A | #N/A | 11.HCFM.000481..SUV | 36078 | 45.HCGS.999813..SUV
43.OBGJ.000298..SUV | #N/A | #N/A | 11.HCFM.000548..SUV | 36042 | 45.HCGS.999818..SUV
Spreadsheet: 270824d1381691906-index-match-one-step-away-multi-branch-dead-stock-look-up-jacc
Sheet: DATA

Branch | Item | Size | Description | Product Group | UOM | Cost | On Hand | Available | On Order | Backordered | Sep-13 | Aug-13 | Jul-13 | Jun-13 | [NAME] | Apr-13 | Mar-13 | Feb-13 | [NAME] | Dec-13 | Nov-13 | Total | Average | Months | Days On Hand | Weighted Average | Last 3 | Next 3 | Mid 5 |  |  |  | Location
BIR | CBS340810 | 3/4X8X10 | SEL QUALITY BEVEL CEDAR KD | 01 01LCD | EAC | 959.01 /MBF | 435 | 435 | 0 | 0 | 32 | 96 | 0 | 40 | 288 | 20 | 0 | 0 | 0 | 32 | 8 | 564 | 47 | 12
BIR | CBS340812 | 3/4X8X12 | SEL QUALITY BEVEL CEDAR KD | 01 01LCD | EAC | 963.99 /MBF | 64 | 64 | 0 | 0 | 8 | 184 | 80 | 0 | 0 | 0 | 0 | 40 | 0 | 32 | 24 | 400 | 33 | 12
Spreadsheet: 842857d1694849444-retrieve-a-specified-number-of-rows-from-a-table-excel-forum-question-selected-amount-of-rows-2-
Sheet: Sheet1

Row | Date | Revenue | Expense |  |  |  |  |  |  | Row | Date | Revenue | Expense
 | 2023-09-16 00:00:00 | 100 | 50 |  |  |  |  |  |  |  | 2024-01-09 00:00:00 | 1600 | 200
 | 2023-09-20 00:00:00 | 200 | 50 |  | Choose number of rows: |  |  | 5 |  | 17 | 2024-01-10 00:00:00 | 1700 | 200
 | 2023-09-20 00:00:00 | 300 | 50 |  |  |  |  |  |  | 18 | 2024-01-11 00:00:00 | 1800 | 200
 | 2023-10-10 00:00:00 | 400 | 50 |  |  |  |  |  |  | 19 | 2024-03-14 00:00:00 | 1900 | 200
 | 2023-10-11 00:00:00 | 500 | 50 |  |  |  |  |  |  | 20 | 2024-03-18 00:00:00 | 2000 | 200
 | 2023-10-12 00:00:00 | 600 | 50
 | 2023-10-30 00:00:00 | 700 | 50
 | 2023-10-30 00:00:00 | 800 | 100
 | 2023-11-14 00:00:00 | 900 | 100
 | 2023-11-15 00:00:00 | 1000 | 100
 | 2023-11-16 00:00:00 | 1100 | 100
 | 2023-11-17 00:00:00 | 1200 | 100
 | 2023-12-18 00:00:00 | 1300 | 100
 | 2023-12-18 00:00:00 | 1400 | 200
 | 2023-12-18 00:00:00 | 1500 | 200
 | 2024-01-09 00:00:00 | 1600 | 200
 | 2024-01-10 00:00:00 | 1700 | 200
 | 2024-01-11 00:00:00 | 1800 | 200
 | 2024-03-14 00:00:00 | 1900 | 200
 | 2024-03-18 00:00:00 | 2000 | 200
Spreadsheet: 67380d1268031931-string-concatenation-of-values-sample-data_version1
Sheet: Output

Group | Subgroup | Members | Remarks | Status | In-charge | Level | Units
Lopez | A2 | 0006 | Sec A | Completed | [NAME] | Beginner | 12
[NAME] | B2 | 0003 | Sec B | On-going | Siy | Proficient | 13
Martinez | A2 | 88 | Sec C | Not started | [NAME] | Beginner | 21
Martinez | A2 | 99 | Sec C | Not started | [NAME] | Beginner | 21
Martinez | A2 | 66 | Sec C | Not started | [NAME] | Beginner | 21
Martinez | A2 | 88 | Sec C | Not started | [NAME] | Beginner | 21
Martinez | A2 | 78 | Sec C | Not started | [NAME] | Beginner | 21
Martinez | A2 | 63 | Sec C | Not started | [NAME] | Beginner | 21
Martinez | A2 | 48 | Sec C | Not started | [NAME] | Beginner | 21
[NAME] | A2 | 88 | Sec D | Completed | [NAME] | Beginner | 20
[NAME] | A2 | 99 | Sec D | Completed | [NAME] | Beginner | 20
[NAME] | A2 | 66 | Sec D | Completed | [NAME] | Beginner | 20
[NAME] | A2 | 88 | Sec D | Completed | [NAME] | Beginner | 20
[NAME] | A2 | 78 | Sec D | Completed | [NAME] | Beginner | 20
[NAME] | A2 | 63 | Sec D | Completed | [NAME] | Beginner | 20
[NAME] | A2 | 48 | Sec D | Completed | [NAME] | Beginner | 20
Ramos | A2 | 88 | Sec E | Not started | Dy | Beginner | 16
Ramos | A2 | 99 | Sec E | Not started | Dy | Beginner | 16
Ramos | A2 | 66 | Sec E | Not started | Dy | Beginner | 16
Ramos | A2 | 88 | Sec E | Not started | Dy | Beginner | 16
Ramos | A2 | 78 | Sec E | Not started | Dy | Beginner | 16
Ramos | A2 | 63 | Sec E | Not started | Dy | Beginner | 16
Ramos | A2 | 48 | Sec E | Not started | Dy | Beginner | 16
Uy | A2 | 88 | Sec F | On-going | Han | Proficient | 11
Uy | A2 | 99 | Sec F | On-going | Han | Proficient | 11
Uy | A2 | 66 | Sec F | On-going | Han | Proficient | 11
Uy | A2 | 88 | Sec F | On-going | Han | Proficient | 11
Uy | A2 | 78 | Sec F | On-going | Han | Proficient | 11
Uy | A2 | 63 | Sec F | On-going | Han | Proficient | 11
Uy | A2 | 59 | Sec F | On-going | Han | Proficient | 11
[NAME] | B2 | 0003 | Sec G | Started | Niy | Proficient | 13
[NAME] | C2 | 0007 | Sec H | Completed | [NAME] | Proficient | 11
Spreadsheet: 123140d1317373124-separate-numbers-raceno-rework1
Sheet: Sheet1

Kyneton Raceguide - 29 September 2011
Track:  Showers. ([NAME]: 16)
1
TAB
1 | 1 | 1
2 | 2 | 2
3 | 3 | 3
4 | 4 | 4
5 | 5 | 5
6 | 6 | 6
7 | 7 | 7
8 | 8 | 8
9 | 9 | 9
10 | 10 | 10
11 | 11 | 11
12 | 12 | 12
13 | 13 | 13
E14 | 14 | 14
E15 | 15 | 15
E16 | 16 | 16
E17 | 17 | 17
 |  | 0
2 |  | 2
 |  | 0
 |  | 0
 |  | 0
TAB | AB | AB
1 | 1 | 1
2 | 2 | 2
3 | 3 | 3
4 | 4 | 4
5 | 5 | 5
6 | 6 | 6
7 | 7 | 7
8 | 8 | 8
9 | 9 | 9
10 | 10 | 10
11 | 11 | 11
12 | 12 | 12
13 | 13 | 13
E14 | 14 | 14
 |  | 0
 |  | 0
3 |  | 3
 |  | 0
 |  | 0
 |  | 0
TAB | AB | AB
1 | 1 | 1
2 | 2 | 2
3 | 3 | 3
4 | 4 | 4
5 | 5 | 5
6 | 6 | 6
7 | 7 | 7
8 | 8 | 8
9 | 9 | 9
10 | 10 | 10
11 | 11 | 11
12 | 12 | 12
13 | 13 | 13
14 | 14 | 14
E15 | 15 | 15
E16 | 16 | 16
E17 | 17 | 17
E18 | 18 | 18
 |  | 0
4 |  | 4
 |  | 0
 |  | 0
 |  | 0
TAB | AB | AB
1 | 1 | 1
2 | 2 | 2
3 | 3 | 3
4 | 4 | 4
5 | 5 | 5
6 | 6 | 6
7 | 7 | 7
8 | 8 | 8
9 | 9 | 9
10 | 10 | 10
E11 | 11 | 11
E12 | 12 | 12
[NAME] | 13 | 13
 |  | 0
5 |  | 5
 |  | 0
 |  | 0
 |  | 0
TAB | AB | AB
1 | 1 | 1
2 | 2 | 2
3 | 3 | 3
4 | 4 | 4
5 | 5 | 5
6 | 6 | 6
7 | 7 | 7
8 | 8 | 8
9 | 9 | 9
10 | 10 | 10
E11 | 11 | 11
E12 | 12 | 12
 |  | 0
 |  | 0
6 |  | 6
 |  | 0
 |  | 0
 |  | 0
TAB | AB | AB
1 | 1 | 1
2 | 2 | 2
3 | 3 | 3
4 | 4 | 4
5 | 5 | 5
6 | 6 | 6
7 | 7 | 7
8 | 8 | 8
9 | 9 | 9
10 | 10 | 10
11 | 11 | 11
 |  | 0
7 |  | 7
 |  | 0
 |  | 0
 |  | 0
TAB | AB | AB
1 | 1 | 1
2 | 2 | 2
3 | 3 | 3
4 | 4 | 4
5 | 5 | 5
6 | 6 | 6
7 | 7 | 7
8 | 8 | 8
9 | 9 | 9
10 | 10 | 10
11 | 11 | 11
 |  | 0
8 |  | 8
 |  | 0
 |  | 0
 |  | 0
TAB | AB | AB
1 | 1 | 1
2 | 2 | 2
3 | 3 | 3
4 | 4 | 4
5 | 5 | 5
6 | 6 | 6
7 | 7 | 7
8 | 8 | 8
9 | 9 | 9
10 | 10 | 10
11 | 11 | 11
12 | 12 | 12
13 | 13 | 13
E14 | 14 | 14
E15 | 15 | 15
E16 | 16 | 16
E17 | 17 | 17
Spreadsheet: 102724d1300702928-tornado-chart-tornado-chart
Sheet: Sheet1

Age Group (08/09) | Continuing Further Education | Employment | Entered Higher Education | Other | Unemployed | Unknown Completed | Unknown Withdrew | Grand Total |  |  |  |  | Age Group (08/09) | Continuing FE | Employment | Entered HE | Other | Unemployed | Unknown Completed | Unknown Withdrew
16-18 | 0.8167539267015707 | 0.02617801047120419 | 0.008900523560209424 | 0.05130890052356021 | 0.004188481675392671 | 0.06910994764397906 | 0.02356020942408377 | 0.9999999999999999 |  |  |  |  | 16-18 | 0.8167539267015707 | 0.02617801047120419 | 0.008900523560209424 | 0.05130890052356021 | 0.004188481675392671 | 0.06910994764397906 | 0.02356020942408377
19+ | 0.6163223840162546 | 0.2289197426346089 | 0.01100575685743312 | 0.06688113782593973 | 0.007280731459532679 | 0.04842533017270572 | 0.02116491703352523 | 0.9999999999999999 |  |  |  |  | 19+ | -0.62 | -0.23 | -0.01 | -0.07 | -0.01 | -0.05 | -0.02
Grand Total | 0.6653019447287615 | 0.1793756397134084 | 0.01049129989764585 | 0.06307574206755373 | 0.006525076765609007 | 0.05348004094165814 | 0.02175025588536336 | 1