tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 603310d1545600903-creating-a-last-man-standing-spreadsheet-workbook-last-man-standing-template
Sheet: Setup

Carried over: |  |  | Cost to enter: | 10 |  | Pot: |  |  |  | Number of lives:
Teams |  | # | Player Name | Paid |  | Game 1 | Win, [NAME], Draw | Game 2 | Win, [NAME], Draw | Game 3 | Win, [NAME], Draw | Game 4 | Win, [NAME], Draw | Game 5 | Win, [NAME], Draw | Game 6 | Win, [NAME], Draw | Game 7 | Win, [NAME], Draw | Game 8 | Win, [NAME], Draw | Game 9 | Win, [NAME], Draw | Game 10 | Win, [NAME], Draw | Game 11 | Win, [NAME], Draw | Game 12 | Win, [NAME], Draw | Game 13 | Win, [NAME], Draw | Game 14 | Win, [NAME], Draw | Game 15 | Win, [NAME], Draw | Game 16 | Win, [NAME], Draw | Game 17 | Win, [NAME], Draw | Game 18 | Win, [NAME], Draw | Game 19 | Win, [NAME], Draw | Game 20 | Win, [NAME], Draw
AFC Bournemouth |  | 1 | Player 01
Arsenal |  | 2 | Player 02
Brighton & Hove Albion |  | 3 | Player 03
Burnley FC |  | 4 | Player 04
Cardiff City |  | 5 | Player 05
Chelsea |  | 6 | Player 06
Crystal Palace |  | 7 | Player 07
Everton |  | 8 | Player 08
Fulham |  | 9 | Player 09
Huddersfield Town |  | 10 | Player 10
Leicester City |  | 11 | Player 11
Liverpool |  | 12 | Player 12
Manchester City |  | 13 | Player 13
[NAME] |  | 14 | Player 14
Newcastle United |  | 15 | Player 15
Southampton |  | 16 | Player 16
[NAME] |  | 17 | Player 17
Watford |  | 18 | Player 18
West Ham United |  | 19 | Player 19
[NAME] |  | 20 | Player 20
Team 21 |  | 21 | Player 21
Team 22 |  | 22 | Player 22
Team 23 |  | 23 | Player 23
Team 24 |  | 24 | Player 24
Team 25 |  | 25 | Player 25
Team 26 |  | 26 | Player 26
Team 27 |  | 27 | Player 27
Team 28 |  | 28 | Player 28
Team 29 |  | 29 | Player 29
Team 30 |  | 30 | Player 30
 |  | 31 | Player 31
 |  | 32 | Player 32
 |  | 33 | Player 33
 |  | 34 | Player 34
 |  | 35 | Player 35
 |  | 36 | Player 36
 |  | 37 | Player 37
 |  | 38 | Player 38
 |  | 39 | Player 39
 |  | 40 | Player 40
 |  | 41 | Player 41
 |  | 42 | Player 42
 |  | 43 | Player 43
 |  | 44 | Player 44
 |  | 45 | Player 45
 |  | 46 | Player 46
 |  | 47 | Player 47
 |  | 48 | Player 48
 |  | 49 | Player 49
 |  | 50 | Player 50
Spreadsheet: 676230d1588709463-linking-two-cells-to-return-values-in-columns-2312-daily-production-report
Sheet: 2nd Shift

2nd Shift
Department | Machine | Issues | Action | Downtime | Date | Week
2312 | [NAME] | Spindle | Maintenance working on issue | 36 hrs | 2020-04-22 00:00:00
Spreadsheet: 775395d1649081095-formula-to-increase-buffer-on-certain-weekdays-formula-to-increase-buffer-cash-flow
Sheet: Sheet1

 |  |  |  | 200000 | 450000 |  |  |  |  |  |  | Public Hollidays
 |  |  |  |  |  |  |  |  |  |  |  | 2022-01-01 00:00:00
 |  |  |  |  |  |  |  |  |  |  |  | 2022-03-21 00:00:00
 |  |  |  |  |  |  |  |  |  |  |  | 2022-04-15 00:00:00
 |  |  |  |  |  |  |  |  |  |  |  | 2022-04-16 00:00:00
 |  |  |  |  |  |  |  |  |  |  |  | 2022-04-17 00:00:00
 |  |  |  |  |  |  |  |  |  |  |  | 2022-04-27 00:00:00
 |  | OPENING | DEPOSITS | O/S CHQS | (TO)/FRM | CLOSING |  |  |  |  |  | 2022-05-01 00:00:00
 |  | BALANCE |  |  | Savings | BALANCE |  |  |  |  |  | 2022-05-02 00:00:00
Tuesday | 1 | 155205 |  | 45000 |  |  |  |  |  |  |  | 2022-05-08 00:00:00
Wednesday | 2 | 200206 |  | 85000 |  |  |  |  |  |  |  | 2022-06-06 00:00:00
Thursday | 3 | 205208 |  | 45000 |  |  |  |  |  |  |  | 2022-06-19 00:00:00
Friday | 4 | 200211 |  | 85000 |  |  |  |  |  |  |  | 2022-08-09 00:00:00
Saturday | 5 | 205215 |  |  |  |  |  |  |  |  |  | 2022-09-24 00:00:00
Sunday | 6 | 205215 |  |  |  |  |  |  |  |  |  | 2022-12-16 00:00:00
Monday | 7 | 205215 |  | 45000 |  |  |  |  |  |  |  | 2022-12-24 00:00:00
Tuesday | 8 | 200222 |  | 85000 |  |  |  |  |  |  |  | 2022-12-25 00:00:00
Wednesday | 9 |  |  |  |  |  |  |  |  |  |  | 2022-12-26 00:00:00
Thursday | 10
Friday | 11
Saturday | 12
Sunday | 13
Monday | 14
Tuesday | 15
Wednesday | 16
Thursday | 17
Friday | 18
Saturday | 19
Sunday | 20
Monday | 21
Tuesday | 22
Wednesday | 23
Thursday | 24
Friday | 25
Saturday | 26
Sunday | 27
Monday | 28
Tuesday
Wednesday |  | 183573.87 |  | 45000
Thursday |  | 208604 |  | 85000
Spreadsheet: 73957d1274522276-working-with-dates-output
Sheet: output

Issue # | Issue Identified | Opened | Solution Committed Date | Closed | Status
1-3735151 | 2009-12-07 14:52:46 | 2009-12-07 14:54:38 | 2009-12-19 15:16:00 |  | Raised
1-3734641 | 2009-12-07 09:54:23 | 2009-12-07 10:18:37 | 2010-02-01 11:55:00 | 2010-02-11 11:55:40 | Closed
1-3734748 | 2009-12-07 11:53:41 | 2009-12-07 11:57:55 | 2010-02-01 11:55:00 | 2010-02-01 12:55:00 | Raised
1-3734893 | 2009-12-07 13:02:56 | 2009-12-07 13:05:04 |  |  | Raised
1-3756494 | 2009-12-08 08:13:24 | 2009-12-08 08:17:09 |  |  | Raised
1-3756582 | 2009-12-08 08:13:24 | 2009-12-08 08:48:39 |  |  | Raised
1-3756626 | 2009-12-08 08:13:24 | 2009-12-08 09:19:43 |  |  | Raised
1-3839201 | 2009-12-14 08:13:24 | 2009-12-14 08:25:29 |  |  | Raised
1-4371473 | 2010-01-26 08:13:24 | 2010-01-27 07:23:15 |  |  | Raised
1-4371531 | 2010-01-26 08:13:24 | 2010-01-27 07:41:02 |  |  | Raised
1-5882417 | 2010-04-09 08:13:24 | 2010-04-09 13:13:51 |  |  | Raised
1-5882492 | 2010-04-09 08:13:24 | 2010-04-09 13:39:08 |  |  | Raised
1-5894669 | 2010-04-09 08:13:24 | 2010-04-09 14:25:13 |  |  | Raised
1-5359429 | 2010-03-16 08:13:24 | 2010-03-16 09:42:12 | 2010-01-19 15:18:00 | 2010-03-25 15:18:10 | Closed
1-5840946 | 2009-12-07 14:52:46 | 2010-04-07 11:52:43 | 2010-04-07 11:40:22 | 2010-04-09 08:48:10 | Closed
1-7343496 | 2010-05-19 07:13:24 | 2010-05-19 08:05:34 |  |  | Raised
1-7213048 | 2010-05-13 08:13:24 | 2010-05-14 07:44:14 |  |  | Raised
1-7182266 | 2010-05-11 08:13:24 | 2010-05-12 08:01:49 |  |  | Raised
1-7351242 | 2010-05-18 07:13:24 | 2010-05-19 10:18:49 |  |  | Raised
Spreadsheet: 108861d1305814870-collection-of-data-from-different-ranges-to-one-range-sample
Sheet: MY REQUIREMENT

 |  | NO | SECTOR | WT | CREDIT | CASH | CUST | JOB | DATE OF DSR
 |  | 254 | RTW | 250 | 0 | 2500 | JONE | 2011-11-25 00:00:00 | 2011-05-14 00:00:00
 |  | 255 | RTW | 250 | 0 | 2500 | JONE | 2011-11-25 00:00:00 | 2011-05-14 00:00:00
 |  | 256 | RTW | 250 | 0 | 2500 | JONE | 2011-11-25 00:00:00 | 2011-05-14 00:00:00
 |  | 257 | RTW | 250 | 0 | 2500 | JONE | 2011-11-25 00:00:00 | 2011-05-14 00:00:00
 |  | 258 | RTW | 250 | 0 | 2500 | JONE | 2011-11-25 00:00:00 | 2011-05-14 00:00:00
R |  | 259 | RTW | 250 | 0 | 2500 | JONE | 2011-11-25 00:00:00 | 2011-05-15 00:00:00
 |  | 260 | RTW | 250 | 0 | 2500 | JONE | 2011-11-25 00:00:00 | 2011-05-15 00:00:00
 |  | 261 | RTW | 250 | 0 | 2500 | JONE | 2011-11-25 00:00:00 | 2011-05-15 00:00:00
 |  | 262 | RTW | 250 | 0 | 2500 | JONE | 2011-11-25 00:00:00 | 2011-05-15 00:00:00
 |  | 263 | RTW | 250 | 0 | 2500 | JONE | 2011-11-25 00:00:00 | 2011-05-15 00:00:00
 |  | 265 | RTW | 250 | 0 | 2500 | JONE | 2011-11-25 00:00:00 | 2011-05-18 00:00:00
 |  | 266 | RTW | 250 | 0 | 2500 | JONE | 2011-11-25 00:00:00 | 2011-05-18 00:00:00
 |  | 267 | RTW | 250 | 0 | 2500 | JONE | 2011-11-25 00:00:00 | 2011-05-18 00:00:00
 |  | 268 | RTW | 250 | 0 | 2500 | JONE | 2011-11-25 00:00:00 | 2011-05-18 00:00:00
 |  | 269 | RTW | 250 | 0 | 2500 | JONE | 2011-11-25 00:00:00 | 2011-05-18 00:00:00
Spreadsheet: 190753d1351780659-help-combining-different-rows-with-the-same-words-in-the-sample-excel-explains-it-better-sample
Sheet: Oct 2012

October 2012
Category | [NAME] | Total Sales | Profit Margin
[NAME]/S Tee | 23 | 185 | -0.7522
Adidas Crews | 3 | 150 | 0.5284
Adidas Skate Shoes | 130 | 7282.67 | 0.4462
Adidas Tees | 14 | 332.73 | 0.4345
[NAME] | 12 | 615 | 0.4433
ADIDAS TOTAL
Adio Crews | 2 | 90 | 0.4667
Adio Kid S/S Tees | 1 | 7.5 | 0.56
Adio Skate Shoes | 235 | 6714.65 | 0.4934
Adio Tees | 5 | 60 | 0.1808
[NAME] | 6 | 23 | 0.4629
Air Fresheners | 1 | 4 | 0.457
Akumu Ink Tees | 34 | 455 | 0.4189
[NAME] S/S Tees | 4 | 49 | 0.2134
Alchemy Skates | 1 | 95 | 0.3432
Alien Completes | 1 | 175 | 0.4171
Alien Workshop Decks | 5 | 294.1 | 0.2884
Almost Completes | 1 | 100 | 0.4
Almost Decks | 13 | 623 | 0.4779
Almost Wheels | 11 | 222.8 | 0.5272
[NAME] and Pants | 7 | 315 | 0.52
[NAME] | 4 | 42 | 0.4633
[NAME] | 38 | 590.4 | 0.4743
[NAME] | 14 | 537.9 | 0.4181
Altamont Crews | 3 | 152 | 0.4607
Altamont Jackets | 7 | 581.5 | 0.4987
Altamont Jeans and Pants | 17 | 1031.75 | 0.4895
[NAME] | 2 | 105 | 0.4698
[NAME] | 22 | 475.75 | 0.4102
[NAME] | 5 | 277.25 | 0.459
Analog Crews | 1 | 57 | 0.4947
Analog Jackets | 3 | 259 | 0.4848
Analog Jeans and Pants | 3 | 186.85 | 0.498
Analog Tees | 9 | 190 | 0.3626
[NAME] | 2 | 70 | 0.184
Ankle Guards | 2 | 28 | 0.5179
Anti Hero decks | 4 | 170 | 0.3132
Anti Hero Tees | 4 | 92 | 0.5043
Axle Nuts and Spacers | 6 | 6 | 0.568
223097nv
Spreadsheet: 143474d1330438075-excel-2007-rows-from-multiple-sheets-into-one-exclude-those-without-values-safety-tour
Sheet: (18) Machine

Date: | 1/16 & 1/17 |  | Back to Department Listing
DEPARTMENT/LOCATION: |  | Weld/Mason/Blacksmith & Machine Shops
 |  | 0
ITEM # | ISSUES FOUND | [NAME] | STATUS | INTERIM SOLUTION
x | clean up hydraulic oil on floor | around boring machine & nw corner | carryover
x | repair hydraulic leak | geddings & lewis boring machine | carryover
ENVIRONMENT: PROPER HOUSEKEEPING, INSPECTION AND MAINTENANCE, STANDARD OPERATING PROCEDURES - Housekeeping okay, oil/water puddled on floor
ESCORT: | M. Hotchkiss
Spreadsheet: 789053d1658861515-separate-and-remove-text-from-a-cell-based-on-data-from-another-sheet-sample_2
Sheet: Locations

Original Data |  | Desired Results |  |  |  | [NAME]
Name |  | Bldg | Room | [NAME] |  | Bldg | Room | [NAME]
3A1116-INS |  | --- | 3420 | 01
3A1118-SR |  | 3A | 100 | 01
3A2100-SR |  | 3A | 2106 | A1-1
3A2102-SR |  | 3A | 2108 | 01
3A2106-A3-1 |  | 3B | 111 | 02
3A2106-A3-2 |  | 3E | 5122
3E5123-CONF |  | 3E | 5123
3H1060-01 |  | 3H | 1060 | 01
3H1060-02 |  | 3H | 1060 | 02
5C210D-01 |  | 5C | 210D | 01
DS-3A1175-01 |  | 3A | 1175 | 01
[NAME] |  | CH | 244A | 01
[NAME] |  | --- | 124A | 01
Spreadsheet: 72865d1273585679-event-calendar-conditional-formatting-with-if-function-across-worksheets-remediation-event-schedule
Sheet: June

2010-06-01 00:00:00 | 2010-06-02 00:00:00 | 2010-06-03 00:00:00 | 2010-06-04 00:00:00 | 2010-06-05 00:00:00
1 | 0 | 0 | 0 | 0
Renal & Respiratory Exam
2010-06-06 00:00:00 | 2010-06-07 00:00:00 | 2010-06-08 00:00:00 | 2010-06-09 00:00:00 | 2010-06-10 00:00:00
0 | 0 | 0 | 0 | 0
2010-06-11 00:00:00 | 2010-06-12 00:00:00 | 2010-06-13 00:00:00 | 2010-06-14 00:00:00 | 2010-06-15 00:00:00
0 | 0 | 0 | 0 | 0
2010-06-16 00:00:00 | 2010-06-17 00:00:00 | 2010-06-18 00:00:00 | 2010-06-19 00:00:00 | 2010-06-20 00:00:00
0 | 0 | 0 | 0 | 0
2010-06-21 00:00:00 | 2010-06-22 00:00:00 | 2010-06-23 00:00:00 | 2010-06-24 00:00:00 | 2010-06-25 00:00:00
0 | 0 | 0 | 0 | 0
2010-06-26 00:00:00 | 2010-06-27 00:00:00 | 2010-06-28 00:00:00 | 2010-06-29 00:00:00 | 2010-06-30 00:00:00
0 | 0 | 0 | 0 | 0
Spreadsheet: 864458d1711626848-count-true-false-contunuesly-from-down-to-up-count-true-false-aligw
Sheet: Sheet1

 | True | True | True | True | True | True | True
 | True | True | True | True | True | True | True
 | False | False | False | False | False | True | False
 | True | True | True | True | True | True | False
 | True | True | True | True | True | True | False
 | False | False | True | False | False | False | False
 | False | False | True | False | False | False | False
 | True | False | False | False | False | False | True
 | True | True | True | True | False | True | True
 | False | False | False | False | False | True | False
 | False | False | False | True | False | False | False
 | False | True | False | False | False | False | False
 | False | True | False | False | False | False | True
 |  |  |  |  |  |  |  |  | This result is require from formula
 | "False" is 4 times continuous from bottom to top | "True" is 2 times continuous from bottom to top | "False" is 4 times continuous from bottom to top | "False" is 2 times continuous from bottom to top | "False" is 8 times continuous from bottom to top | "False" is 3 times continuous from bottom to top | "True" is 1 times continuous from bottom to top
Spreadsheet: 37407d1235414221-calculating-over-two-sheets-imaging-consumables-stock-list-new
Sheet: Panasonic

Model A | Model B | Model C | Model D | Model D | Part Description | OEM Part Number | PPC Part Number | Katun Part Number | Yield | CPC Black | CPC Colour | Stock Level | Unit Value | Total Value
DP2310 | DP2320 | DP2330 | DP3010 | DP3030 | Black Toner | DQ-TU15E | 1143 |  |  |  |  | 0 | 103.25 | 0
DP3510 | DP4510 |  |  |  | Black Toner | DQ-TU24D | 1144 |  |  |  |  | 0 | 0 | 0
DP2000 | DP2500 | DP3000 |  |  | Black Toner | DQ-TU18B |  |  |  |  |  | 0 | 0 | 0
DP180 |  |  |  |  | Black Toner | DQ-UG26H |  |  |  |  |  | 0 | 0 | 0
DP6010 | DP6020 | DP6030 |  |  | Black Toner | DQ-TU35D | 1145 |  |  |  |  | 0 | 0 | 0
DP1515 | DP1520 | DP1820 | DP8016 | DP8020 | Black Toner | DQ-TU10J |  | 26460 |  |  |  | 0 | 0 | 0
DP1510 | DP1810 | DP2010 |  |  | Black Toner | DQ-TU10C |  | 23339 |  |  |  | 0 | 0 | 0
KX-FL511/12/13 | KX-FL540/41 | KX-FL543 | KX-FL611 | KX-FL651/52/53 | Black Toner | KX-FA83 | 34131 |  |  |  |  | 0 | 0 | 0
DP2330 |  |  |  |  | Drum | DQ-H060E |  |  |  |  |  | 0 | 0 | 0
 |  |  |  |  |  |  |  |  |  | Total Consumable Units |  | 0
 |  |  |  |  |  |  |  |  |  |  |  | Total Unit Value |  | 0
Spreadsheet: 718491d1613150893-if-and-with-index-and-match-if-and-forum
Sheet: Sheet1

MRN | Sex | Service Dt | [NAME] | Proc Code | 2 DX | 3 DX | 4 DX | MRN | Patient Age | Sex | Sex | Creation Date | 1st DX | 2nd Dx | 3rd Dx | 4th Dx
1677 | M | 2020-03-16 00:00:00 |  | 99203 |  |  |  | 1461 | 59 | Female | F | 2020-01-21 00:00:00 | 593.4 | V13.01
1677 | M | 2020-03-16 00:00:00 |  | 51798 |  |  |  | 1677 | 48 | Male | M | 2020-03-16 00:00:00 | 600.01
1677 | M | 2020-04-27 00:00:00 |  | 99213 |  |  |  | 13688 | 76 | Female | F | 2020-04-03 00:00:00 | 788.31 | 788.63 | 788.43
45625 | M | 2020-02-07 00:00:00 |  | 50590 |  |  |  | 17648 | 73 | Male | M | 2020-06-02 00:00:00 | 790.93 | 600.01 | 1331077
73650 | M | 2020-01-31 00:00:00 |  | 52000 |  |  |  | 45625 | 46 | Male | M | 2020-01-15 00:00:00 | 257.2 | 599.72 | 822514 | 788.41
73650 | M | 2020-04-14 00:00:00 |  | 52000 |  |  |  | 47977 | 36 | Female | F | 2020-02-12 00:00:00 | 788.33 | 596.54 | 599.82
112375 | M | 2020-01-20 00:00:00 |  | 99024 |  |  |  | 54775 | 37 | Male | M | 2020-06-08 00:00:00 | V18.69
112375 | M | 2020-01-20 00:00:00 |  | 99214 |  |  |  | 61598 | 51 | Female | F | 2020-01-17 00:00:00 | 788.33 | 1145767
112375 | M | 2020-05-15 00:00:00 |  | 99214 |  |  |  | 65029 | 42 | Female | F | 2020-01-24 00:00:00 | 599 | 1514123
124529 | F | 2020-03-13 00:00:00 |  | 52000 |  |  |  | 73650 | 84 | Male | M | 2020-01-31 00:00:00 | V58.62 | V10.51
126938 | M | 2020-05-18 00:00:00 |  | 99214 |  |  |  | 73650 | 84 | Male | M | 2020-04-14 00:00:00 | 599.71 | V10.51
126938 | M | 2020-05-18 00:00:00 |  | 51798 |  |  |  | 78162 | 83 | Male | M | 2020-01-31 00:00:00 | 790.93 | 788.41 | 1658345
126938 | M | 2020-05-26 00:00:00 |  | 52000 |  |  |  | 92336 | 54 | Male | M | 2020-03-06 00:00:00 | 257.2 | V76.44
131391 | M | 2020-03-23 00:00:00 |  | 52000 |  |  |  | 92336 | 54 | Male | M | 2020-05-06 00:00:00 | 257.2 | V76.44
142679 | M | 2020-01-14 00:00:00 |  | 52000 |  |  |  | 102673 | 67 | Male | M | 2020-01-24 00:00:00 | 1658345 | V76.44 | 1331077
142679 | M | 2020-02-07 00:00:00 |  | 54405 |  |  |  | 112375 | 54 | Male | M | 2020-01-20 00:00:00 | 1331077 | 600.01
156455 | M | 2020-02-14 00:00:00 |  | 96372 |  |  |  | 112375 | 54 | Male | M | 2020-04-27 00:00:00 | 1331077 | 600.01 | V76.44 | 599.72
156455 | M | 2020-02-14 00:00:00 |  | 76872 |  |  |  | 112375 | 54 | Male | M | 2020-05-15 00:00:00 | 1331077 | 600.01
156455 | M | 2020-02-14 00:00:00 |  | 76942 |  |  |  | 116988 | 69 | Female | F | 2020-01-28 00:00:00 | 599
156455 | M | 2020-02-14 00:00:00 |  | 55700 |  |  |  | 116988 | 69 | Female | F | 2020-03-25 00:00:00 | 599
156455 | M | 2020-02-14 00:00:00 |  | J1580 |  |  |  | 116988 | 69 | Female | F | 2020-04-30 00:00:00 | 596.54
156455 | M | 2020-03-02 00:00:00 |  | 99214 |  |  |  | 116988 | 69 | Female | F | 2020-06-05 00:00:00 | 596.54 | 599 | 788.1
156455 | M | 2020-06-02 00:00:00 |  | 54405 |  |  |  | 122879 | 66 | Male | M | 2020-06-16 00:00:00 | V10.46 | V10.51 | 1331077
Spreadsheet: 801603d1666270982-need-help-creating-a-dynamic-list-that-sorts-with-count-frequencies-sortedlist
Sheet: Sheet1

City - Sorted by Name | Store Count | Sort |  | Sort # | Sorted City | Store Count | First Row | Sorted List - Use for Analysis
Atlanta | 0 |  |  | 1
[NAME] | 2
Boston | 3
Charlotte | 1
Denver | 0
Los Angeles | 4
Miami | 0
Minneapolis | 6
New York | 2
Philadelphia | 1
St. Louis | 0
Spreadsheet: 851494d1701715813-sum-up-all-sheets-by-range-coding-and-date-range-sum-all-sheets-1-
Sheet: Totals

 | 2023-12-31 00:00:00 | 2024-01-06 00:00:00
 | Week 1 | 13.33 | 24 | 32 | 40 | PU | PP | EV | OD | 8 |  |  |  | 8 | 24 | 32 | 40 | PU | PP | EV | OD
0-100 | CUPE |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 |  | This is taking totals from 5 sheets
200-299 | Planners |  |  |  |  |  |  |  |  |  |  |  |  | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |  | from the range of 1000-1999
1000-1999 | Attend |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0
2000-2999 | Body |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0
3000-3999 | [NAME] |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 3 | 0 | 0 | 0 | 1 | 0 | 0
 |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0
 | 2024-01-07 00:00:00 | 2024-01-13 00:00:00 |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 | Week 2 | 13.33 | 24 | 32 | 40 | PU | PP | EV | OD | 8 |  |  |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1
0-100 | CUPE |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
200-299 | Planners |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0
1000-1999 | Attend |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0
2000-2999 | Body |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0
3000-3999 | [NAME] |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0
 |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 | 2024-01-14 00:00:00 | 2024-01-20 00:00:00 |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1
 | Week 3 | 13.33 | 24 | 32 | 40 | PU | PP | EV | OD | 8 |  |  |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
0-100 | CUPE |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0
200-299 | Planners |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0
1000-1999 | Attend |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0
2000-2999 | Body |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0
3000-3999 | [NAME] |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 | 2024-01-21 00:00:00 | 2024-01-27 00:00:00
 | Week 4 | 13.33 | 24 | 32 | 40 | PU | PP | EV | OD | 8
0-100 | CUPE
200-299 | Planners
1000-1999 | Attend
2000-2999 | Body
3000-3999 | [NAME]
Spreadsheet: fb2be2ec-f92c-41d2-bec7-8fb653037bec
Sheet: Geographic

Johnson & Johnson and Subsidiaries
Supplementary Sales Data
([NAME]; Dollars in Millions) |  |  |  |  | FOURTH QUARTER |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | TWELVE MONTHS
 |  |  |  |  |  |  |  |  |  | 0 | Percent Change |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Percent Change
 |  |  | Pulls fm Rpt | Adj | 2011 |  | 2010 |  | Change $ |  | Total |  | Operations $ |  | Operations |  | Currency $ |  | Currency |  | Prior Q YTD | Pulls fm Rpt | Adj | 2011 |  | 2010 |  | Change $ |  | Total |  | Operations $ |  | Operations |  | Currency $ |  | Currency
Sales to customers by
geographic area
U.S. |  | Great | 6986 |  | 6985 |  | 7229 |  | -244 |  | -3.4 | % | -244 |  | -3.4 |  | 0 |  | 0 |  | 21923 |  |  | 28908 |  | 29450 |  | -542 |  | -1.8 | % | -542 |  | -1.8 |  | 0 |  | 0
Europe |  | Great | 4280 |  | 4279 |  | 3947 |  | 332 |  | 8.4 |  | 369 |  | 9.4 |  | -37 |  | -1 |  | 12850 | 17163 | -34 | 17129 |  | 15510 |  | 1619 |  | 10.4 |  | 824 |  | 5.300000000000001 |  | 795 |  | 5.1
Western Hemisphere excluding U.S. |  | Great | 1687 |  | 1688 |  | 1471 |  | 217 |  | 14.8 |  | 263 |  | 17.8 |  | -46 |  | -3 |  | 4730 | 6418 |  | 6418 |  | 5550 |  | 868 |  | 15.6 |  | 677 |  | 12.2 |  | 191 |  | 3.4
Asia-Pacific, Africa |  | Great | 3303 |  | 3303 |  | 2997 |  | 306 |  | 10.2 |  | 236 |  | 7.899999999999999 |  | 70 |  | 2.3 |  | 9272 | 12575 |  | 12575 |  | 11077 |  | 1498 |  | 13.5 |  | 739 |  | 6.6 |  | 759 |  | 6.9
International |  | Great |  |  | 9270 |  | 8415 |  | 855 |  | 10.2 |  | 868 |  | 10.4 |  | -13 |  | -0.2 |  | 26852 |  |  | 36122 |  | 32137 |  | 3985 |  | 12.4 |  | 2240 |  | 7 |  | 1745 |  | 5.4
Worldwide |  | Great |  |  | 16255 |  | 15644 |  | 611 |  | 3.9 | % | 624 |  | 4 |  | -13 |  | -0.1 |  | 48775 |  |  | 65030 |  | 61587 |  | 3443 |  | 5.6 | % | 1698 |  | 2.767068708948859 |  | 1745 |  | 2.83293129105114
Spreadsheet: 14a6a830-835b-4a81-9440-3389ef828f66
Sheet: 4

 | Nov 2 |  | Nov 9 |  | Nov 16 |  | Nov 23
 | Long | Short | Long | Short | Long | Short | Long | Short
Total Interest Rates* | N/A*** | N/A | N/A | N/A | N/A | N/A | N/A | N/A
SD/MSPs** | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Financials | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
End Users | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Total Cross-Currency | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
SD/MSPs | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Financials | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
End Users | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Total Credit | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
SD/MSPs | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Financials | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
End Users | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Total Equity | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
SD/MSPs | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Financials | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
End Users | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Total Commodities | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
SD/MSPs | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Financials | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
End Users | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Weekly snapshot, estimated net notional amount outstanding by asset class and participant type (millions of USD), all products, origins, currencies, tenors, cleared and uncleared.
*See Data Dictionary for asset class descriptions.
**See Explanatory Notes for participant type descriptions.
***N/A indicates that data are not currently available.
The Commission requests feedback on the format and content of this CFTC Swaps Report table. Submit comments to [EMAIL].
Spreadsheet: 159843d1338873589-update-worksheets-using-a-button-in-a-mastersheet-rhscopy
Sheet: CPU

Name | Department | Location | Designation | Comp./ID # | Supervisor | Ref # | Request Date | Description | Remarks | Status
a | a | a | a | a | a | a | a | a | a | a
adik | b | b | b | b | b | b | b | b | b | b
xd | xd | x | dx | d | xd | xd | xd | xd | xd | xdx
ambots | r | r | r | r | rr | r | r | r | r | r
ok | ok | ok | ok | ok | ok | ok | ok | ok | ok