tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 14a6a830-835b-4a81-9440-3389ef828f66
Sheet: 12d

Product | 0-3** | 3-6 | 6-12 | 12-24 | 24-60 | 60-120 | 120+ | TOTAL
Basis*
FRA
IRS- [NAME]
OIS
VNS
Zero Coupon
TOTAL | N/A*** | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Estimated swap dollar volumes, week ending November 23, by product type and tenor (value of all trades in millions of USD), cleared swaps only, all participant types and tenors. Data are adjusted for double-counting of cleared trades to show a single exposure for each trade.
Total(s) may be less than total shown for this asset class in the All Swaps reports and/or other CFTC Swaps Report tables if products were excluded from this table that (a) presented disclosure risk or (b) did not belong in the categories shown. See Explanatory Notes for more detail.
*See Data Dictionary for product descriptions.
**See Explanatory Notes for tenor bucket 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: 165537d1341259274-vlookup-forumula-that-has-more-than-on-set-search-value-sample-v4
Sheet: Rep

Rep | Current Performance | Current Points | Revised Points
A | 0.3426 | 15
B | 0.2424 | 11
C | 0.3333 | 13
D | 0.32 | 15 |  |  |  | [NAME] will return a value in Column D (Revised Points)
E | 0.3367 | 15
F | 0.2315 | 5 |  |  |  | When a percentage input is made in [NAME] B3:F3 on [NAME] tab
G | 0.3694 | 15
H | 0.2891 | 10 |  |  |  | The returned value in Column D (Revised Points) will be based on the Metric table on the Metric tab
I | 0.0154 | 8
J | 0.2887 | 12 |  |  |  |  |  |  | Sample
K | 0.1818 | 10 |  |  |  |  |  |  | 0 | 7 | 10 | 12 | 15
L | 0.0833 | 2 |  |  |  |  |  |  | 0.1525 | 0.242499999999999 | 0.279999999999999 | 0.334999999999998 | 0.354999999999998
M | 0.5784 | 15
N | 0.0952 | 5
O | 0 | 0 |  |  |  |  |  |  | #6 | Nope i want to input a % in each cell B3, [NAME], D3, E3 and F3 on the Metrics Input tab and have it enter a value on the rep tab Column D based on the metrics table
P | 0.1379 | 0
Q | 0.2815 | 12
R | 0 | 0
S | 0.1667 | 2
T | 0 | 15
U | 0.2 | 0
V | 0.3382 | 15
W | 0.3819 | 14
X | 0.3246 | 15
Y | 0.0865 | 0
Z | 0.4861 | 15
Spreadsheet: 41832d1240359958-array-formula-test10
Sheet: Wellness Profiles

Wellness Code | Cost PEPM | Monthly Cost | Annual Cost | Wellness Product Description
SC | 2 | 700 | 8400 | compsych smoking coaches | compsych smoking coaches -8400
EAP | 2.5 | 1250 | 15000 | EAP - Product 2 | EAP - Product 2 -15000
GM | 0.19 | 120 | 1440 | Globalfit - Product 3 | Globalfit - Product 3 -1440
SC | 45 | 15750 | 189000 | compsych full nicotine replacement | compsych full nicotine replacement  -189000
GM | 0 | 0 | 0 | Get up and start walking | Get up and start walking -0
MISC | 30 | 10500 | 10500 | First aid CPR class | First aid CPR class -10500
MISC | 0 | 0 | 0 | Go to a Dance | Go to a Dance -0
SC | 290 | 43500 | 522000 | Nicotine Replacement | Nicotine Replacement  -522000
BIO | 85 | 29750 | 29750 | Chicago Health Consultants - Venipuncture only
BIO | 110 | 38500 | 38500 | Chicago Health Consultants - Venipuncture with Health Coaching
BIO | 41 | 14350 | 14350 | Chicago Health Consultants - Ulcer/Gastritis Test
BIO | 54 | 18900 | 18900 | Chicago Health Consultants - Homoysteine (heart stroke) test
BIO | 54 | 18900 | 18900 | Chicago Health Consultants - Cardio - C Reactive Protein
BIO | 99 | 34650 | 34650 | Chicago Health Consultants - VAP (coronary)
BIO | 18 | 6300 | 6300 | Chicago Health Consultants - Flu Shot
BIO | 40 | 14000 | 14000 | Chicago Health Consultants - Pneumonia
Spreadsheet: 59b1c683-52e6-4e9c-8b3f-bdbd4ad36b96
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | RUN | T1 | SWIM | T2 | RUN.1 | POSITION | TOTAL TIME
3176 | 13173 | [NAME] | Utsinger | USA | 0 | 00:10:31 | 00:00:38 | 00:20:56 | [NAME] | 00:11:38 | 1 | 00:44:22
Spreadsheet: 681069d1591342758-date-and-time-condition-to-loading-plan-loading-plan
Sheet: New loading plan

 | Transport |  |  |  |  |  | Estimated volume |  |  | Real volume |  |  | Loaded volume |  |  | Persentage |  |  |  | Wearhouse |  |  |  |  | Estimated time |  |  | Store
 | Date | Truck nr | Day of delivery | FT truck ST truck 3rd Truck | Departure | Store | Legume | Chilled | Frozen | Legume | Chilled | Frozen | Legume | Chilled | Frozen | [NAME] | Chilled % | [NAME] | Planned hour | Arrival hour | Status | Departure Hour | Agreed hour of departure | Status | Estimated time from A to B | Estimated time of arrival | Status | Arrival hour to store | Agreed time of arrival | Status | Hour of departure from store | Reception duration
 | 2020-06-01 00:00:00 | B27TIP | D0 | FT | Bucuresti | MilitariA | 20 |  | 4 | 27 |  | 5 | 27 |  | 5 |  |  |  |  | 14:20:00 |  | 16:00:00 |  |  |  |  |  | 18:00:00 |  |  | 19:00:00
 | 2020-06-01 00:00:00 | B48KSZ | D0 | FT | CotroceniA | CrangasiA | 11 | 10 |  | 17 | 16 |  | 17 | 10 |  |  |  |  |  | 16:00:00 |  | 18:00:00 |  |  |  |  |  | 22:30:00 |  |  | 23:40:00
 | 2020-06-01 00:00:00 | B48KSZ | D0 | FT | Bucuresti | CotroceniA | 6 | 5 |  | 10 | 6 |  | 10 | 3 |  |  |  |  |  | 16:00:00 |  | 18:00:00 |  |  |  |  |  | 20:30:00
 | 2020-06-01 00:00:00 | B52TBL | D0 | FT | Bucuresti | Drumul TabereiA | 12 | 10 |  | 17 | 16 |  | 17 | 9 |  |  |  |  |  | 16:00:00 |  | 17:45:00 |  |  |  |  |  | 19:30:00
 | 2020-06-01 00:00:00 | BV04DXD | D1 | FT | BrasovA | BrasovA [NAME] | 13 |  |  | 19 |  |  | 19 |  |  |  |  |  |  | 23:00:00 |  | 20:30:00
 | 2020-06-01 00:00:00 | BV04DXD | D1 | FT | Bucuresti | BrasovA | 8 |  |  | 12 |  |  | 12 |  |  |  |  |  |  | 23:00:00 |  | 20:30:00 |  |  |  |  |  | 23:00:00
 | 2020-06-01 00:00:00 | B46TWP | D1 | ST | Drumul TabereiA | CrangasiA |  |  |  |  | 6 |  |  | 6 |  |  |  |  |  | 23:00:00 |  | 07:15:00
 | 2020-06-01 00:00:00 | B46TWP | D1 | ST | CotroceniA | Drumul TabereiA |  |  |  |  | 7 |  |  | 7 |  |  |  |  |  | 23:00:00 |  | 07:15:00
 | 2020-06-01 00:00:00 | B46TWP | D1 | ST | MilitariA | CotroceniA |  |  |  |  | 3 |  |  | 3 |  |  |  |  |  | 23:00:00 |  | 07:15:00
 | 2020-06-01 00:00:00 | B46TWP | D1 | ST | Bucuresti | MilitariA |  | 11 |  |  | 16 |  |  | 16 |  |  |  |  |  | 23:00:00 |  | 07:15:00
 | 2020-06-01 00:00:00 | BH31ADF | D1 | ST | Bucuresti | BrasovA [NAME] |  | 15 |  |  | 18 |  |  | 18 |  |  |  |  |  | 18:20:00 |  | 06:50:00
 | FLOW | ESTIMAT | REALIZAT | Realizat vs Estimat | INCARCAT | Realizat vs Incarcat
 | F&V
 | Chill
 | Frozen
Spreadsheet: 192102d1352308171-time-and-a-half-calulated-on-real-time-not-after-x-many-hours-worked-timesheettest2-1-
Sheet: Timesheet

 |  | Strt | End
 | Band A | 2012-03-14 15:00:00 | 2012-03-14 22:00:00 |  |  | 90.9999999992433
 | Band A | 2012-03-14 12:00:00 | 2012-03-14 18:30:00 |  |  | 84.5000000007567
 | Band A | 2012-03-15 12:00:00 | 2012-03-16 03:30:00 |  |  | 227.5000000011351
 | Band B | 2012-03-16 06:00:00 | 2012-03-16 11:30:00 |  |  | 93.74999999912689
 | Band A | 2012-03-14 06:30:00 | 2012-03-14 07:30:00 |  |  | 19.49999999886495
 | Band A | 2012-03-15 06:00:00 | 2012-03-15 07:00:00 |  |  | 19.49999999886495
 | Band A | 2012-03-15 18:00:00 | 2012-03-16 12:30:00 |  |  | 292.5000000007566
 | Band B | 2012-03-16 06:00:00 | 2012-03-17 01:30:00 |  |  | 318.7500000000001
 | Band C | 2012-03-16 06:30:00 | 2012-03-16 23:45:00 |  |  | 159.0875
 | Band C | 2012-03-16 23:45:00 | 2012-03-17 12:30:00 |  |  | 147.962499999741
 | 7.30am - 11.30pm | 11.30pm - 7.30am
Band A | 13 | 19.5
Band B | 15 | 22.5
Band C | 8.9 | 13.35
Spreadsheet: 16f9f9f5-e5c8-4022-b3e1-a5b6e9d775ba
Sheet: Sheet1

electronica 2010 - List of exhibitors | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5
 | Search by product and service index (8 Entries):
 | 8 Passive components 8.4 Radiofrequency and microwave components 8.4.10 Tubes
No. | Company | Country | City | [NAME] | Hall/Booth
1 | Braxton Mfg. Co. Inc. | USA | Watertown | CT 06795 | A6.349
2 | Gigavac, LLC. | USA | Santa Barbara | CA 93140-4428 | A5.529
3 | HVC-Technologies GmbH | Germany | München | 80992 | A5.529
4 | Magnetic Shields Ltd | United Kingdom | Staplehurst, [NAME] | TN12 0DS | B6.127
5 | Nucletron Technologies GmbH | Germany | München | 80992 | A5.527
6 | Parzich GmbH | Germany | Pürgen | 86932 | A1.464
7 | Shanghai Changyuan Electronic Material Co., Ltd. | China | Shanghai | P.C. 201802 | A6.664/1
8 | Xinxing Electronic Ceramics Co., Ltd | China | Shangmei Town, Xinhua Country | Hunan Province | B6.437/7
Spreadsheet: 162940d1340121989-problem-inserting-pictures-from-list-utd-fixtures-2012-13
Sheet: Sheet1

 |  |  |  | Home Team |  | Away Team
 |  |  |  |  | v
 |  |  | Index/Match functions | Match Date: |  | 2012-10-27 00:00:00
 |  |  |  | List dropdown
Date | Home Venue | Away Team | Small sample of pictures from row 51 on.
2012-08-18 00:00:00 | Everton | [NAME]
2012-08-25 00:00:00 | [NAME] | Fulham
2012-09-01 00:00:00 | Southampton | [NAME]
2012-09-15 00:00:00 | [NAME] | [NAME]
2012-09-22 00:00:00 | Liverpool | [NAME]
2012-09-29 00:00:00 | [NAME] | [NAME]
2012-10-06 00:00:00 | Newcastle United | [NAME]
2012-10-20 00:00:00 | [NAME] | Stoke City
2012-10-27 00:00:00 | Chelsea | [NAME]
2012-11-03 00:00:00 | [NAME] | Arsenal
2012-11-10 00:00:00 | [NAME] | [NAME]
2012-11-17 00:00:00 | Norwich City | [NAME]
2012-11-24 00:00:00 | [NAME] | Queens Park Rangers
2012-11-27 00:00:00 | [NAME] | West Ham United
2012-12-01 00:00:00 | Reading | [NAME]
2012-12-08 00:00:00 | Manchester City | [NAME]
2012-12-15 00:00:00 | [NAME] | Sunderland
2012-12-22 00:00:00 | Swansea City | [NAME]
2012-12-26 00:00:00 | [NAME] | Newcastle United
2012-12-29 00:00:00 | [NAME] | West Bromwich Albion
2012-01-01 00:00:00 | Wigan Athletic | [NAME]
2012-01-12 00:00:00 | [NAME] | Liverpool
2012-01-19 00:00:00 | [NAME] | [NAME]
2012-01-29 00:00:00 | [NAME] | Southampton
2012-02-02 00:00:00 | Fulham | [NAME]
2012-02-09 00:00:00 | [NAME] | [NAME]
2012-02-23 00:00:00 | Queens Park Rangers | [NAME]
2012-03-02 00:00:00 | [NAME] | Norwich City
2012-03-09 00:00:00 | West Ham United | [NAME]
2012-03-16 00:00:00 | [NAME] | Reading
2012-03-30 00:00:00 | Sunderland | [NAME]
2012-04-06 00:00:00 | [NAME] | Manchester City
2012-04-13 00:00:00 | Stoke City | [NAME]
2012-04-20 00:00:00 | [NAME] | [NAME]
2012-04-27 00:00:00 | Arsenal | [NAME]
2012-05-04 00:00:00 | [NAME] | [NAME]
2012-05-12 00:00:00 | [NAME] | Swansea City
2012-05-19 00:00:00 | West Bromwich Albion | [NAME]
 | Holding Pic 1
 | Holding Pic 2
 | [NAME]
 | Arsenal
 | [NAME]
 | [NAME]
 | [NAME]
 | Fulham
 | Liverpool
 | Manchester City
 | Newcastle United
 | Norwich City
 | Queens Park Rangers
 | Reading
 | Southampton
 | Stoke City
 | Sunderland
 | Swansea City
 | [NAME]
 | West Bromwich Albion
 | West Ham United
 | [NAME]
 | Premier League
Spreadsheet: 780764d1652764617-count-times-in-same-golf-foursome-count-matches-in-foursome-aligw
Sheet: Sheet1

Name1 | [NAME] | Name3 | Name4 |  | Answer Array | [NAME] | Fred | [NAME] | [NAME] | Marv | Betty
[NAME] | Marv | Jeane | [NAME] |  | [NAME]
Fred | [NAME] | [NAME] | Betty |  | Fred
[NAME] | Fred | [NAME] | [NAME] |  | [NAME]
[NAME] | [NAME] | Fred | Marv |  | [NAME] |  |  |  |  |  |  | <<Yellow cell shows that [NAME] (top) has played in the same foursome with [NAME] (left) 2 times
Betty | [NAME] | [NAME] | Betty |  | Marv
 |  |  |  |  | Betty
 |  | I need a formula in G2 to pull down and across that fills in the chart above.
 |  | I think it is a Mmult problem somehow.
Spreadsheet: gerald_nemec__11545__ENA_BirthdayList
Sheet: Sheet1

January | February | March | April | May | June
105657 | 105656 | 107061 | 105658 | 105657 | 105659
1         Shari Stack | 2         Lance Schuler | 4        [NAME] | 3        [NAME] | 3        Julia Heintz Murray | 15       [NAME]
3         Janice Moore | 3         [NAME] | 5        [NAME] | 4        [NAME] | 13      [NAME] | 17       [NAME]
5         Tana Jones | 8         [NAME] | 15      [NAME] | 8        [NAME] | 16      Brent Hendry | 17       [NAME]
5         Anne Koehler | 9         [NAME] | 24      [NAME] | 10      [NAME] | 18      [NAME] | 17       [NAME]
6         Francisco Pinto-Leite | 18       [NAME] | 26      [NAME] | 11      Nony Flores | 23      Twanda Sweet | 19       [NAME]
11       [NAME] | 19       [NAME] | 30      Coralina Rivera | 16      [NAME] | 23      [NAME] | 27       [NAME]
15       [NAME] | 21       Eddy Daniels |  | 16      Sheila Tweed | 24      [NAME] | 28       [NAME]
16       [NAME] |  |  | 20      Michelle Cash | 26      [NAME]
27       [NAME] |  |  | 21      [NAME]
27       [NAME] |  |  | 29      [NAME]
27       [NAME] |  |  | 30      [NAME]
July | August | September | October | November | December
107062 | 105654 | 105659 | 105653 | 105658 | 105653
6       [NAME] | 5       [NAME] | 3      [NAME] | 4       [NAME] | 3      Samantha Boyd | 4         Kay Young
10     Debra Perlingiere | 5       [NAME] | 4      [NAME] | 5       [NAME] | 3      Connie Castillo | 8         Wayne Gresham
16     [NAME] | 6       Kaye Ellis | 6      [NAME] | 6       [NAME] | 7      Richard Jeffrey | 10       Carol St. Clair
18     Teresa Bushman | 6       Shawna Flynn | 9      [NAME] | 6       [NAME] | 17    [NAME] | 16       [NAME]
23     [NAME] | 10     [NAME] | 16    [NAME] | 14     Ed Hearn | 18    [NAME] | 17       [NAME]
24     [NAME] | 16     [NAME] | 20    [NAME] | 15     [NAME] | 23    [NAME] | 22       [NAME]
24     [NAME] | 18     [NAME] | 22    Taffy [NAME] | 21     [NAME] | 24    Stephanie Panus | 28       [NAME]
 | 19     [NAME] | 25    [NAME] | 23     Holly Keiser | 26    [NAME]
 | 20     Claudia Perez | 26    [NAME] | 25     [NAME] | 27    Merrill Haas
 | 22     [NAME] | 27    Ann Elizabeth White | 28     [NAME]
 | 24     [NAME] |  | 29     [NAME]
 | 24     [NAME]
 | 25     [NAME]
Spreadsheet: 882898d1731365651-filter-vstack-multiple-tables-and-criteria-my-step-by-step-time-sheet-so-i-can-filter-_r2
Sheet: Sept

Trainer Name | Student name: (first name, last name) | What action have you taken? | Session date: | How was the training conducted? | Travel time costs (if any) | Travel mileage (if any) | What was training subject 1? (select from drop down list) | Training subject 1 - how much time () did you train on this today? (select from drop down list) | What was training subject 2? (select from drop down list) | Training subject 2 (if appropriate) - how much time (hours) did you train on this today? | What was training subject 3? (select from drop down list) | Training subject 3 (if appropriate) - how much time (hours) did you train on this today? | Ad-hoc fee - If you completed approved training or a service that is not on the list or is ad-hoc briefly summarise here. Include as much detail as is needed. | Rate | Count | Value
[NAME] | [NAME] | I have completed today's training | 2022-09-01 00:00:00 | Remote training via Zoom video conferencing |  |  | [NAME] | 1.5 |  |  |  |  |  | 31.5
[NAME] | [NAME] | I have completed today's training | 2022-09-05 00:00:00 | Remote training via Zoom video conferencing |  |  | Internet Google Chrome | 1.5 |  |  |  |  |  | 31.5
[NAME] | [NAME] | I have completed today's training | 2022-09-06 00:00:00 | Remote training via Zoom video conferencing |  |  | Internet Google Chrome | 0.5 | Keyboarding | 1 |  |  |  | 31.5
[NAME] | Amanda [NAME] | I have completed a TNA | 2022-09-07 00:00:00 | Remote training via Zoom video conferencing |  |  |  |  |  |  |  |  |  | 50 | 1 | 50
[NAME] | [NAME] | I have completed today's training | 2022-09-08 00:00:00 | Remote training via Zoom video conferencing |  |  | Keyboarding | 1 | Windows | 0.5 |  |  |  | 31.5
[NAME] | [NAME] | I have completed today's training | 2022-09-12 00:00:00 | Remote training via Zoom video conferencing |  |  | Windows | 1.5 |  |  |  |  |  | 31.5
[NAME] | [NAME] | I have completed today's training | 2022-09-13 00:00:00 | Remote training via Zoom video conferencing |  |  | Windows | 1 | Unit 121 - Admin Processes | 0.5 |  |  |  | 31.5
[NAME] | [NAME] | I have completed today's training | 2022-09-15 00:00:00 | Remote training via Zoom video conferencing |  |  | Unit 121 - Admin Processes | 1.5 |  |  |  |  |  | 31.5
[NAME] | [NAME] | I have completed today's training | 2022-09-19 00:00:00 | Remote training via Zoom video conferencing |  |  | Unit 121 - Admin Processes | 1.5 |  |  |  |  |  | 31.5
[NAME] | [NAME] | I have completed today's training | 2022-09-26 00:00:00 | Remote training via Zoom video conferencing |  |  | Unit 327 - Business Transactions | 1.5 |  |  |  |  |  | 31.5
[NAME] | [NAME] | I have completed today's training | 2022-09-27 00:00:00 | Remote training via Zoom video conferencing |  |  | Unit 327 - Business Transactions | 1.5 |  |  |  |  |  | 31.5
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Training
Spreadsheet: 104769d1302224603-change-range-from-another-cell-dynamic-cell-address
Sheet: prices

1.43007
1.43018
1.43014
1.4301
1.42989
1.42983
1.42995
1.43
1.43004
1.42969
NA
1.42999
1.43022
NA
1.43058
1.43058
NA
1.43058
1.43053
1.43058
1.43091
1.43107
1.43141
NA
NA
1.43151
1.4315
1.43146
1.43136
1.43156
1.43144
1.43128
1.43119
1.43103
1.43094
1.43124
1.43149
1.43172
1.43234
1.43222
NA
1.43228
1.43233
1.43214
1.43207
NA
NA
1.43204
1.43213
NA
NA
1.43246
1.43262
1.43319
1.43345
1.43344
1.4333
1.4331
1.43288
1.43241
1.43221
1.43235
1.43232
1.43227
1.43219
1.43225
1.43267
1.43284
1.4328
1.4328
1.43325
1.43304
1.43281
1.43282
1.43287
1.43307
1.433
1.43274
1.43284
1.43286
1.43273
1.43279
1.43293
NA
1.43298
1.43258
1.43259
1.43214
1.43227
1.43229
1.43221
1.43217
1.43218
1.43219
NA
1.43234
1.43239
1.43237
1.43252
1.43274
1.43304
1.43304
1.4328
1.4329
1.43274
1.43254
1.43267
1.43264
1.43274
1.4326
1.43274
1.43274
1.43216
1.43199
1.43173
1.43175
1.43166
1.43159
1.43164
1.43154
1.43076
1.43096
1.43097
1.43079
1.43095
1.43094
1.43058
1.42968
1.43016
1.43059
1.43016
Spreadsheet: 590475d1537167094-how-to-get-top-10-in-excel-from-an-unsorted-list-practice
Sheet: Sheet1

 |  |  |  |  |  |  |  |  | Engineering
 | Employee | Department | Item Dispensed | Quantity | Prices Per Unit | Total
 | Cesar | Engineering | [NAME] | 2 | 0.5 |  |  | 1
 | [NAME] | Accounting | Blue Pen | 2 | 0.5 |  |  | 2
 | Cesar | Engineering | Flashlight | 2 | 9.99 |  |  | 3
 | Cesar | Engineering | Switch | 2 | 3.99 |  |  | 4
 | Julia | Human Resources | Paperclips | 2 | 0.25 |  |  | 5
 | [NAME] | Security | Flashlight | 2 | 9.99 |  |  | 6
 | [NAME] | Accounting | Blue Pen | 2 | 0.5 |  |  | 7
 | [NAME] | Accounting | [NAME] | 2 | 0.5 |  |  | 8
 | [NAME] | Security | Gloves | 2 | 5.99 |  |  | 9
 | Julia | Human Resources | Flashlight | 2 | 9.99 |  |  | 10
 | Julia | Human Resources | Wrench | 2 | 5.99
 | Julia | Human Resources | Blue Pen | 2 | 0.5
 | Cesar | Engineering | [NAME] | 2 | 0.5
 | Cesar | Engineering | Blue Pen | 2 | 0.5
 | Bertha | Engineering | Knife | 2 | 2
 |  | Engineering | pen | 2
 |  | Engineering | hat | 2 | 10 | 2
 |  | Engineering | quart | 2
 |  | Engineering | gallon | 2
 |  | Engineering | dog | 2
 |  | Engineering | cat | 2
 |  | Engineering | [NAME] | 2
Spreadsheet: 255d1d53-7ccd-4a35-bf07-699b18e73cc7
Sheet: 6

 | February 7 | February 14 | February 21 | February 28 | March 7
Total Interest Rate* | 9339945 | 5243923 | 6965767 | 8427463.2284 | 5650977
SDs and MSPs** | 6452871 | 3030817 | 3600162 | 4646668.4818 | 3481619
Other | 2887074 | 2213107 | 3365605 | 3780794.7466 | 2169358
Total Cross-Currency | 236818 | 167389 | 149250 | 173230.185525 | 111789.87
SDs and MSPs | 159882 | 121900 | 101881 | 115121.67731 | 82185.73
Other | 76936 | 45490 | 47369 | 58108.508215 | 29604.14
Total Credit | 697140 | 412345 | 467688 | 423254.90931 | 487086.3
SDs and MSPs | 413555 | 253616 | 264859 | 204605.54143 | 260594.2
Other | 283585 | 158729 | 202829 | 218649.36788 | 226492.1
Total FX | N/A | N/A | N/A | N/A | N/A
SDs and MSPs | N/A | N/A | N/A | N/A | N/A
Other | N/A | N/A | N/A | N/A | N/A
Total Equity | N/A | N/A | N/A | N/A | N/A
SDs and MSPs | N/A | N/A | N/A | N/A | N/A
Other | N/A | N/A | N/A | N/A | N/A
Total Other Commodity | N/A | N/A | N/A | N/A | N/A
SDs and MSPs | N/A | N/A | N/A | N/A | N/A
Other | N/A | N/A | N/A | N/A | N/A
TOTAL | 10273903 | 5823658 | 7582705 | 9023948.323235 | 6249853.17
Weekly total, swap dollar volumes by asset class and participant type (value of all trades in millions of USD), all products and tenors, cleared and uncleared. For cleared swaps, the notional value for each of the two resulting swaps is attributed only to the counterparty facing the clearing organization (i.e., the clearing organization’s participation is not displayed). For uncleared swaps, the notional value of the swap is attributed to both swap counterparties. The notional values of all price-forming trade events, including new trades, terminations, amendments, and novations, are included in dollar volumes. Because this table shows transactions by participant, the totals on this table are twice those displayed on the "Transaction Dollar Volume by Cleared Status" table.
*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: 856917d1706074707-container-yard-location-in-graphical-summary-view-container-yard-finding
Sheet: Sheet3

Category | Container Number | B | R | T
45 | [NAME] | 2 | 3 | 1
40 | XXXAAAM | 2 | 3 | 2
20 | XXXAAAK |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 20
45 | XXXAAAN |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 40
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 45
Spreadsheet: 741272d1626945077-trying-to-setup-a-budget-for-a-wage-progression-salary-trying-to-setup-a-budget-for-a-wage-progression-salary
Sheet: Sheet1

ASSEMBLY |  |  |  | Weeks per Month | 4.3333339 |  |  |  |  |  |  |  |  | [NAME] Per Month |  |  |  | Bonus Days
Company Code | Date of Hire | Last Name | First Name | Position | Annual Salary | [NAME] | Shift Premium | Wage Progression Increase #1 | New Hourly Amount | New Annual Salary | Wage Progression Increase #2 | New Hourly Amount | New Annual Salary | January | February | March | April | May | June | July | August | September | October | November | December | Estimated Wages
MY8 | 2019-04-15 00:00:00 |  |  |  | 47652.8 |  |  | 2022-07-01 00:00:00 | 23.41 |  | 2022-10-01 00:00:00 | 23.41
MY8 | 2021-11-20 00:00:00 |  |  |  | 47652.8 | 22.91 |  | 2022-02-01 00:00:00 | 23.41