tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 3f190b49-f3c1-4ce6-a860-fed9c2e0a7bd
Sheet: 4

 | December 27 | January 3 | January 10 | January 17 | January 24
Total Interest Rate* | 11190 | 21434 | 58219 | 45331 | 42518
SDs and MSPs** | 4699 | 10286 | 32725 | 24855 | 21695
Other | 6491 | 11148 | 25494 | 20476 | 20823
Total Cross-Currency | 230 | 894 | 2714 | 2964 | 3176
SDs and MSPs | 129 | 551 | 2112 | 2355 | 2092
Other | 101 | 343 | 602 | 609 | 1084
Total Credit | 1880 | 6716 | 13600 | 13618 | 14865
SDs and MSPs | 871 | 3390 | 7638 | 7461 | 7199
Other | 1009 | 3326 | 5962 | 6157 | 7666
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 | 13300 | 29044 | 74533 | 61913 | 60559
Weekly total, swap ticket volumes by asset class and participant type (number of new trades), all products and tenors, cleared and uncleared. For cleared swaps, the creation of 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, each trade is attributed to both swap counterparties. All price-forming trade events, including new trades, terminations, amendments, and novations, are included in ticket volumes. Because this table shows transactions by participant, the totals on this table are twice those displayed on the "Transaction Ticket 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: 463341d1464452338-conditional-formatting-duplicates-any-order-compare-columns
Sheet: Sheet1

x | count | y
012 |  | 204
013 |  | 402
014 |  | 606
015 |  | 661
016 |  | 765
017 |  | 930
018 |  | 841
019 |  | 785
023 |  | 931
024 |  | 883
025 |  | 148
026 |  | 391
027 |  | 971
028 |  | 008
029 |  | 961
034 |  | 254
035 |  | 546
036 |  | 686
037 |  | 673
038 |  | 101
039 |  | 534
045 |  | 921
046 |  | 810
047 |  | 918
048 |  | 298
049 |  | 280
056 |  | 181
057 |  | 880
058 |  | 253
059 |  | 729
067 |  | 461
068 |  | 892
069 |  | 029
078 |  | 731
079 |  | 236
089 |  | 002
123 |  | 000
124 |  | 409
125 |  | 073
126 |  | 473
127 |  | 256
128 |  | 381
129 |  | 552
134 |  | 799
135 |  | 706
136 |  | 174
137 |  | 926
138 |  | 413
139 |  | 985
145 |  | 606
146 |  | 454
147 |  | 610
148 |  | 355
149 |  | 918
156 |  | 911
157 |  | 009
158 |  | 263
159 |  | 001
167 |  | 684
168 |  | 822
169 |  | 679
178 |  | 450
179 |  | 170
189 |  | 694
234 |  | 242
235 |  | 072
236 |  | 480
237 |  | 839
238 |  | 724
239 |  | 316
245 |  | 503
246 |  | 307
247 |  | 230
248 |  | 621
249 |  | 042
256 |  | 123
257 |  | 386
258 |  | 879
259 |  | 440
267 |  | 857
268 |  | 798
269 |  | 795
278 |  | 732
279 |  | 075
289 |  | 412
345 |  | 065
346 |  | 684
347 |  | 915
348 |  | 183
349 |  | 688
356 |  | 762
357 |  | 148
358 |  | 431
359 |  | 133
367 |  | 340
368 |  | 787
369 |  | 604
378 |  | 139
379 |  | 776
389 |  | 895
456 |  | 507
457 |  | 587
458 |  | 750
459 |  | 652
467 |  | 469
468 |  | 596
469 |  | 578
478 |  | 895
479 |  | 104
489 |  | 303
567 |  | 155
568 |  | 304
569 |  | 318
578 |  | 013
579
589
678
679
689
789
Spreadsheet: 3ba96c4b-c089-43e1-a2af-2452cdcc60f9
Sheet: Sheet1

Date | Sport | Opponent | Time | Results
10/03/2014 | Women's Swimming & Diving | Gold-Blue Meet | 03:00 PM
10/10/2014 | Women's Swimming & Diving | West Virginia State Games (Huntington, W.Va.)
10/11/2014 | Women's Swimming & Diving | West Virginia State Games (Huntington, W.Va.) | 09:00 AM
10/23/2014 | Women's Swimming & Diving | Penn State | 05:00 PM
10/25/2014 | Women's Swimming & Diving | at Villanova | 01:00 PM
11/20/2014 | Women's Swimming & Diving | Mizzou Invite (Columbia, Mo.)
11/21/2014 | Women's Swimming & Diving | Mizzou Invite (Columbia, Mo.)
11/22/2014 | Women's Swimming & Diving | Mizzou Invite (Columbia, Mo.)
12/04/2014 | Women's Swimming & Diving | U.S. Winter Nationals (Greensboro, N.C.)
12/05/2014 | Women's Swimming & Diving | U.S. Winter Nationals (Greensboro, N.C.)
12/06/2014 | Women's Swimming & Diving | U.S. Winter Nationals (Greensboro, N.C.)
01/03/2015 | Women's Swimming & Diving | Orange Bowl Classic (Key Largo, Fla.)
01/10/2015 | Women's Swimming & Diving | at Pitt | 12:00 PM
01/16/2015 | Women's Swimming & Diving | TCU | 06:00 PM
01/24/2015 | Women's Swimming & Diving | at Iowa State | 02:00 PM
01/31/2015 | Women's Swimming & Diving | Ohio | 01:00 PM
02/25/2015 | Women's Swimming & Diving | Big 12 Championships (Austin, Texas)
02/26/2015 | Women's Swimming & Diving | Big 12 Championships (Austin, Texas)
02/27/2015 | Women's Swimming & Diving | Big 12 Championships (Austin, Texas)
02/28/2015 | Women's Swimming & Diving | Big 12 Championships (Austin, Texas)
03/12/2015 | Women's Swimming & Diving | NCAA Zone A Diving Championships
03/13/2015 | Women's Swimming & Diving | NCAA Zone A Diving Championships
03/14/2015 | Women's Swimming & Diving | NCAA Zone A Diving Championships
[NAME] | Women's Swimming & Diving | [NAME] (Greensboro, N.C.)
03/20/2015 | Women's Swimming & Diving | [NAME] (Greensboro, N.C.)
03/21/2015 | Women's Swimming & Diving | [NAME] (Greensboro, N.C.)
Spreadsheet: 141528d1329318092-can-not-return-text-from-a-sum-array-type-formula-text-array-question
Sheet: Data

Employee | Expense Report# | ER Date | ER Item# | ER Item Amount
[NAME] | ER123456 | 2012-01-01 00:00:00 | 1 | 1
[NAME] | ER123456 | 2012-01-02 00:00:00 | 2 | 2
[NAME] | ER123457 | 2012-01-03 00:00:00 | 1 | 1
[NAME] | ER123458 | 2012-01-04 00:00:00 | 1 | 1
[NAME] | ER123458 | 2012-01-05 00:00:00 | 2 | 2
[NAME] | ER123459 | 2012-01-06 00:00:00 | 1 | 1
[NAME] | ER123460 | 2012-01-07 00:00:00 | 1 | 1
[NAME] | ER123460 | 2012-01-08 00:00:00 | 2 | 2
[NAME] | ER123460 | 2012-01-09 00:00:00 | 3 | 3
Spreadsheet: 848286d1699028758-3rd-syntax-issue-sf_080141
Sheet: MAS

Sunflower |  |  |  |  |  |  |  |  | Poland |  | 6523 |  |  |  |  |  | 50000
Sunflower |  |  |  |  |  |  |  |  | Poland |  | 326 |  |  |  |  |  | 2453.35
Sunflower |  |  |  |  |  |  |  |  | Bolivia |  | 5000 |  |  |  |  |  | 4500
Sunflower
Sunflower |  |  |  |  |  |  |  |  | Chile |  | 24 |  |  |  |  |  | 64.26
Sunflower
Sunflower |  |  |  |  |  |  |  |  | Mexico |  | 66 |  |  |  |  |  | 512300
Kerria
Kerria |  |  |  |  |  |  |  |  | Bolivia |  | 62 |  |  |  |  |  | 526
Kerria
Kerria |  |  |  |  |  |  |  |  | Chile |  | 96 |  |  |  |  |  | 37
[NAME] |  |  |  |  |  |  |  |  | Portugal |  | 5000 |  |  |  |  |  | 380
[NAME] |  |  |  |  |  |  |  |  | Chile |  | 125 |  |  |  |  |  | 635
[NAME] |  |  |  |  |  |  |  |  | Romania |  | 44 |  |  |  |  |  | 634
Balloon Flower |  |  |  |  |  |  |  |  | Western Sahara |  | 970 |  |  |  |  |  | 4500
Jasmine |  |  |  |  |  |  |  |  | Portugal |  | 256 |  |  |  |  |  | 6320
Actaea |  |  |  |  |  |  |  |  | Bolivia |  | 990 |  |  |  |  |  | 4400
Magnolia |  |  |  |  |  |  |  |  | India |  | 240 |  |  |  |  |  | 85900
Polemonium |  |  |  |  |  |  |  |  | Poland |  | 44 |  |  |  |  |  | 4200
[NAME] |  |  |  |  |  |  |  |  | Mexico |  | 966 |  |  |  |  |  | 3250
Forget-me-not |  |  |  |  |  |  |  |  | Bolivia |  | 98 |  |  |  |  |  | 490
#Oman flower. |  |  |  |  |  |  |  |  | Poland |  | 5263 |  |  |  |  |  | 94560
#Oman flower. |  |  |  |  |  |  |  |  | Mexico |  | 456.44 |  |  |  |  |  | 5236
#Oman flower. |  |  |  |  |  |  |  |  | Portugal |  | 634.2 |  |  |  |  |  | 3000
#Oman flower. |  |  |  |  |  |  |  |  | Bolivia |  | 1467 |  |  |  |  |  | 41250
#Oman flower. |  |  |  |  |  |  |  |  | India |  | 85600 |  |  |  |  |  | 6000
#Oman flower. |  |  |  |  |  |  |  |  | Chile |  | 632 |  |  |  |  |  | 75600
#Oman flower. |  |  |  |  |  |  |  |  | Romania |  | 0 |  |  |  |  |  | 0
#Oman flower. |  |  |  |  |  |  |  |  | Western Sahara |  | 326 |  |  |  |  |  | 9000
#Oman flower. |  |  |  |  |  |  |  |  | Peru |  | 3260 |  |  |  |  |  | 6526
Spreadsheet: 805824d1668949518-how-to-sort-the-data-in-column-b-into-positive-and-negative-numbers-according-to-column-a-forumhelp11-20-1
Sheet: Sheet2

tolerance |  | + | -
±1.2 | 88 |  | 86.8
[NAME] | 44 |  | 43.3
±1 | 58 |  | 57
±1 | 58 |  | 57
±1 | 65.5 |  | 64.5
[NAME] | 28.5 |  | 27.8
±0.6 | 24 |  | 23.4
±0.5 | 12 |  | 11.5
±0.2 | 5 |  | 4.8
Spreadsheet: 773030d1647581718-sort-data-from-multiple-colums-business-pay-summary
Sheet: Sheet1

 | BUSINESS A |  |  |  |  | BUSINESS B |  |  |  |  |  | PAY
 | EMPOYEE # | NAME | HOURS | PAY | OVERTIME | EMPOYEE # | NAME | HOURS | PAY | OVERTIME |  | ID | 8826 | 10136 | 10156 | 12211 | 15656 | 15757 | 21105 | 24513 | 24513 | 67044 | 131266
1 | 10156 | JOHNS | 8 | 300 | NO | 8826 | [NAME] | 11 | 500 | YES |  | NAME | [NAME] | STEVENS | JOHNS | MCALISTAR | ALBERTS | TODD | SWEENEY | SMITH | WHITE | MARSH | WHIP
2 | 12211 | MCALISTAR | 7.5 | 252.38 | NO | 15757 | TODD | 7.5 | 274.88 | NO |  | 1 | 500 | 300 | 300 | 252.38 | 149.63 | 274.88
3 | 10136 | STEVENS | 8 | 300 | NO | 10156 | JOHNS | 8 | 316 | NO |  |  | 440 |  | 316 | 252.38 | 149.63
4 | 10156 | JOHNS | 10 | 475 | YES | 24513 | WHITE | 12 | 455 | YES |  |  |  |  | 475
5 | 21105 | SWEENEY | 4.5 | 126.9 | NO | 67044 | MARSH | 7.5 | 274.88 | NO
6 | 24513 | SMITH | 7.5 | 236.25 | NO | 131266 | WHIP | 4.5 | 134.33 | NO
7 | 15656 | ALBERTS | 4.5 | 149.63 | NO | 8826 | [NAME] | 10 | 440 | YES
8 | 12211 | MCALISTAR | 7.5 | 252.38 | NO | 15656 | ALBERTS | 4.5 | 149.63 | NO
Spreadsheet: 844556d1696337191-total-add-with-text-test-65-
Sheet: Sheet3

Date | Milk | [NAME] | Tea Power | Sugar | Biscuts | Water
2023-09-01 00:00:00 | 11 L | 3 PKT | 2 PKT | 2 KG
2023-09-02 00:00:00 | NIL | NIL | NIL | NIL
2023-09-03 00:00:00 | NIL | NIL | NIL | NIL
2023-09-04 00:00:00 | 9 L | 3 PKT | 2 PKT | NIL
2023-09-05 00:00:00 | 10 L | 3 PKT | 2 PKT | 2 KG
2023-09-06 00:00:00 | 6 L | 2 PKT | 1 PKT | NIL
2023-09-07 00:00:00 | 8 L | 3 PKT | 2 PKT | NIL
Spreadsheet: 124810d1318620207-conditionally-show-sheets-based-on-drop-down-disaster-drill-template
Sheet: Program 1

2012 Disaster Drill Tracking Sheet |  | Navigation
Program 1
 | Example | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Total Drills | Total Evacs
Missing Person/Search | TTD | TTD |  |  |  |  |  |  |  |  |  |  |  | 1 | 0
Medical Emergencies |  |  | FWT |  |  |  |  |  |  |  |  |  |  | 1 | 0
Violent/Threatening Situations |  |  |  | EAS |  |  | TTD |  |  |  |  |  |  | 2 | 1
Gas Leak |  |  |  |  | EOS |  |  |  |  |  |  |  |  | 1 | 1
Loss of Water/Contamination |  |  |  |  |  | TTD |  |  |  |  |  |  |  | 1 | 0
Loss of Electricity, Heat and AC |  |  |  |  |  |  | FWT |  |  |  |  |  |  | 1 | 0
Chemical Spill/Release |  |  |  |  |  |  |  | TTD |  |  |  |  |  | 1 | 0
Severe Storms/ Flooding |  |  |  |  |  |  |  |  | TTD |  |  |  |  | 1 | 0
Terrorist/Radiological | EAS |  |  |  |  |  |  |  |  | FWT |  |  |  | 1 | 0
Explosion |  |  |  |  |  |  |  |  |  |  | TTD |  |  | 1 | 0
[NAME] |  |  |  |  |  |  |  | EAS |  |  |  | TTD |  | 2 | 1
Continuity of Operations Plan (COOP) | EOS |  |  |  |  |  |  |  |  |  |  |  | TTD | 1 | 0
Bomb Threat/Suspicious Mail | FWT | FWT |  |  |  |  |  |  |  |  |  |  |  | 1 | 0
 |  |  |  |  |  |  |  |  |  |  |  |  | TOTAL | 15 | 3
Legend |  |  |  |  |  |  |  |  | Compliance
TTD  - Tabletop Drill |  |  |  |  |  |  |  |  |  | Drills |  |  | Evacs
FWT - Functional Walk Through |  |  |  |  |  |  |  |  | Completed | 13 |  | Completed | 2
EOS  - Evacuation On Site |  |  |  |  |  |  |  |  | Required | 13 |  | Required | 2
EAS  - Evacuation to Alternate Site |  |  |  |  |  |  |  |  | TOTAL | 1 |  | TOTAL | 1
Spreadsheet: 641400d1568443672-allocation-formula-to-allocate-excess-stocks-to-required-inter-trasnfer-file-test-1-1-
Sheet: Sheet1

Sku Code | To Store | Incoming Stock opening | Qty Needed | cumulative requested | From | Total incoming /sku/store | Total requested /sku/store | Allocated | Balance | Action |  | Allocated | Balance | Action
1000058 | HKP06 | 6 | 3 | 3 | hpp28 |  |  | 3 | 3 |  |  | 3 | 3 | Allocated
1000058 | HHP20 |  | 4 |  | hpp28 |  |  | 3 | 0 |  |  | 3 | 0 | Partial Allocation
1000058 | HHP30 |  | 4 |  | hpp28 |  |  | 0 | 0 |  |  | 0 | 0 | No Allocation
1000058 | HHP28 |  | 7 |  | hpp28 |  |  | 0 | 0 |  |  | 0 | 0 | No Allocation
1000060 | HHP27 | 9 | 2 |  | hpp28 |  |  | 2 | 7 |  |  | 2 | 7 | Allocated
1000060 | HKP22 |  | 5 |  | hpp28 |  |  | 5 | 2 |  |  | 5 | 2 | Allocated
1000061 | [NAME] |  | 1 |  | hpp28 |  |  | 0 | 0 |  |  | 0 | 0 | No Allocation
1000061 | HKP25 |  | 1 |  | hpp28 |  |  | 0 | 0 |  |  | 0 | 0 | No Allocation
1000061 | HKP06 |  | 2 |  | hpp28 |  |  | 0 | 0 |  |  | 0 | 0 | No Allocation
 |  |  |  |  |  | incoming stock from excess sheet store wise |  | These 2 columns should be calculated by formula
 |  |  |  |  |  |  |  |  |  |  |  | Result should be
Next step after hhp28 stock distribution
 |  |  |  |  |  |  |  | ‏
Sku Code | To Store | Incoming Stock opening | Qty Needed | cumulative requested | From | Total incoming /sku/store | Total requested /sku/store | Allocated | Balance | Action
1000058 | HHP30 | 4 | 4 | 11 | hpp30 |  |  | 4 | 0
1000058 | HHP28 |  | 7 | 18 | hpp30 |  |  | 0 | 0
1000061 | [NAME] | 3 | 1 | 1 | hpp30 |  |  | 1 | 2
1000061 | HKP25 |  | 1 | 2 | hpp30 |  |  | 1 | 1
1000061 | HKP06 |  | 2 | 4 | hpp30 |  |  | 1 | 0
 |  |  |  |  | store changed | incoming and requested changed |  | These 2 columns should be calculated by formula
 | Dear Brother, as I mentioned in comments total incoming stock from excess sheet where store wise excess stock is available, we need to distribute one by one store from excess sheet, where as required store by quantity is from "QTY Needed" column and stores that needed this stock,,, incoming stock will repeat because sku code is repeating by store that needed excess quantity,,,, now my need to calculate "allocated" and "Balance" column by formula so that result will be same as mentioned in "action" column ,,,,, I don't need "incoming stock opening" column but if you think it's presence is necessary keep it no issue,
Spreadsheet: 8ffa9ebe-0d49-44ff-9534-1b65052997df
Sheet: Sheet1

Age | Name | To Pay | Paid | Unnamed: 4 | Time | Name.1 | Name.2 | Name.3 | Name.4
Older | [NAME] 19 |  |  |  | 11h30 | [NAME] 19 | [NAME] 23 | [NAME] 16 | [NAME] 13
 | [NAME] 23
 | [NAME] 16 |  |  |  | 11h38 | [NAME] 14 | Daylon Godfrey 16 | [NAME] 15 | [NAME] 13
 | [NAME] 14
 | Daylon Godfrey 16 |  |  |  | 11h45 | [NAME] | [NAME] 12 | [NAME] 12 | [NAME] 11
 | [NAME] 13
 | [NAME] 15 |  |  |  | 11h53 | [NAME] 12 | Alkin Barclay 12 | Luca Rodrigues 11 | [NAME]
14 | [NAME]
 | [NAME] |  |  |  | 12h00 | [NAME] 11 | [NAME] 10 | Kian Rose 9 | [NAME] ?
 | Sherwin Varries
 |  |  |  |  | 12h08 | Cole Stevens 10 | Emilio Pera 10 | [NAME] 11 | Katleho Mota 11
13 | [NAME] 13
 |  |  |  |  | 12h15 | [NAME] | [NAME] | Nkuthazo Masanabo G10 | [NAME] G10
12 | [NAME]
 | [NAME] 12 |  |  |  | 12h23 | Yurav Premlall 8 | [NAME] 8 | [NAME]
 | [NAME] 12
 | [NAME] 12 |  |  |  | 12h30 | [NAME] 8 | [NAME] | [NAME] 8
 | Alkin Barclay 12
 |  |  |  |  | 12h38 | [NAME] | [NAME] | [NAME] | [NAME] 7
11 | Katleho Mota 11
 | Luca Rodrigues 11 |  |  |  | 12h45 | [NAME] | [NAME] | Arnoux v d Merwe 5 | [NAME] 6
 | [NAME] 11
 | [NAME]
 | [NAME] 11
 | [NAME] 11
10 | [NAME] 10
 | Cole Stevens 10
 | Emilio Pera 10
9 | [NAME]
 | [NAME]
 | [NAME] G10
 | Nkuthazo Masanabo G10
 | Kian Rose 9
8 | Yurav Premlall 8
 | [NAME] 8
 | [NAME] 8
 | [NAME] 8
 | [NAME]
 | [NAME] 8
7 | [NAME] 7
 | [NAME]
 | [NAME]
6 | [NAME]
 | [NAME] 6 |  | `
5 | [NAME]
 | [NAME]
 | Arnoux v d Merwe 5
Spreadsheet: 100254d1298653809-currency-conditional-formatting-error-copy-of-copy-of-example-formating-1
Sheet: Data

Country | Currency | PRICE A | PRICE B | PRICE C | free gift | Delivery | VAT incl.
Ireland | EUR | 40 | 45 | 50 | YES | 10 | YES
Ireland | EUR | 40 | 45 | 50 | YES | 20 | YES
UK | GBP | 25 | 30 | 40 | YES | 10 | YES
UK | GBP | 25 | 30 | 40 | YES | 5 | YES
Poland | PLN | 200 | 250 | 400 | YES | 120 | YES
Poland | PLN | 200 | 250 | 400 | YES | 120 | YES
UK | GBP | 20 | 25 | 30 | YES | INCLUSIVE | NO
UK | GBP | 20 | 25 | 30 | YES | INCLUSIVE | NO
Croatia | HRK | 400 | 450 | 500 | YES | INCLUSIVE | YES
Croatia | HRK | 400 | 450 | 500 | YES | INCLUSIVE | YES
Greece | EUR | 40 | 40 | 45 | NO | INCLUSIVE | YES
Greece | EUR | 40 | 40 | 45 | NO | INCLUSIVE | YES
Spreadsheet: darrell_schoolcraft__7792__imbalsumm0107
Sheet: summary

TRANSWESTERN  PIPELINE -   SUMMARY OF OBA BALANCES |  |  |  |  |  | index
 |  |  |  |  |  | SJ
Positive=due [NAME] |  | Negative = due operator |  |  |  | AVG
 |  |  |  |  |  | NTXPH
Operator | Dollars | Volume | Date | Imbal Type | MS rep | Comments
NNG |  |  |  | Dollar Valued | [NAME] | working on 10,000/d to sell
[NAME] |  |  |  | Volumetric | [NAME] | Milagro, [NAME], Valverde, [NAME]
Red Cedar |  |  |  | Dollar Valued | [NAME]
Conoco |  |  |  | Dollar Valued | [NAME] | [NAME] and Maljamar
[NAME] |  |  |  | Dollar Valued | [NAME]
Amoco Abo |  |  |  | Dollar Valued | [NAME] | possible cashout
SoCal |  |  |  | Volumetric | [NAME]
PNM |  |  |  | Dollar Valued | [NAME] | 6,000/day planned makeup during 7/01
Duke/GPM |  |  |  | Dollar Valued | [NAME] | Crawford, Pecos Diamond, [NAME], Linam Ranch, Artesia
NGPL |  |  |  | Volumetric | [NAME] | 5,000/DAY scheduled for makeup
Mewborne |  |  |  | Dollar Valued | [NAME]
Mojave Pipeline |  |  |  | Volumetric | [NAME]
CIG |  |  |  | Dollar Valued | [NAME]
PG&E TX/EPFS |  |  |  | Dollar Valued | [NAME]
Panhandle Eastern |  |  |  | Volumetric | [NAME] | Hansford
EOG |  |  |  | Dollar Valued | [NAME] | 2/3000 per day to be paid back beginning 7/14/01
El Paso |  |  |  | Volumetric | [NAME] | Blanco and Window Rock
Lonestar |  |  |  | Volumetric | [NAME] | 3,000/d scheduled makeup from 7/12 - 7/18
Amoco |  |  |  | Volumetric | [NAME]
Oasis |  |  |  | Volumetric | [NAME]
[NAME] |  |  |  | Dollar Valued | [NAME] | 6/30/01 balance of $887,643.73 invoiced
Agave |  |  |  | Dollar Valued | [NAME]
TransColorado |  |  |  | Dollar Valued | [NAME]
Calpine |  |  |  | Dollar Valued | [NAME]
PG&E Topock |  |  |  | Volumetric | [NAME]
Northwest |  |  |  | Volumetric | [NAME]
Receivable imbalances
Operator | Dollars | Volume | Date | Imbal Type | MS rep | Comments
Citizens Communications |  |  |  | Dollar Valued | [NAME]
North Star Steel |  |  |  | Dollar Valued | [NAME]
Citizens-Griffith |  |  |  | Dollar Valued | [NAME] | after 19th we will pay back
El Paso Field Services |  |  |  | Dollar Valued | [NAME]
Burlington |  |  |  | Dollar Valued | [NAME] | balance is cashed out monthly
Continental |  |  |  | Dollar Valued | [NAME]
Payable imbalances
Net imbals
Note -  This report does not represent the total population of imbalances on Transwestern.
Spreadsheet: 47d0cad2-4d6a-4306-b3f6-a28a08ab4231
Sheet: Sheet1

Test Referenced | Entry Type | Mayo ID | Description | Reporting Description | Method | Collection Container | Temperature | Stability | [NAME] | Unit of Measure | [NAME] | Minimum Volume | Reject Due To | Reference Values | Days/Times Performed | Analytic Time | Maximum Lab Time | CPT Units | CPT Code | LOINC® Code | LOINC® Attributes | Always Performed | Orderable Separately | Performing Location
SMFL | Test | SMFL | Seminal Fluid, IgE | Seminal Fluid, IgE | Fluorescence Enzyme Immunoassay (FEIA) | Serum Gel Tube: SGT |  |  | 0.5 | mL | Container/Tube:  Preferred: Red top Acceptable: Serum gel [NAME]: 0.5 mL for each 5 allergens requested Additional Information: Designate specific allergens from the list in Allergens-IgE Antibodies in Special Instructions. Forms: If not ordering electronically, submit an Allergen Request Form (Supply T236) with the specimen. | For 1 allergen: 0.3 mL/For more | Hemolysis	Mild OK; Gross OK Thawing	Warm reject; Cold OK Lipemia	Mild OK; [NAME] OK Icterus	NA Other	NA | Class	IgE kU/L	Interpretation 0	<0.35	Negative 1	0.35-0.69	Equivocal 2	0.70-3.49	Positive 3	3.50-17.4	Positive 4	17.5-49.9	Strongly positive 5	50.0-99.9	Strongly positive 6	> or =100	Strongly positive Reference values apply to all ages. | Monday through Friday; 9 a.m. -8 p.m., Saturday; 8 a.m. -3 p.m. | Same day/1 day | 3 days | 1 | 86003 |  |  |  |  | Rochester
SMFL | [NAME] | SERUM | Serum |  |  |  | Refrigerated | 14 days
SMFL | Result | SMFL | Seminal Fluid, IgE | Seminal Fluid, IgE | Numeric |  |  |  |  | kU/L |  |  |  |  |  |  |  |  |  | 6240-6
Spreadsheet: 792518d1660931062-spill-error-budget-aug-18-1230-2022-
Sheet: Sheet2

hex |  | RGB
top to bottom | left to right | R | G | B
4 | 6
4 | 8
5 | 6
5 | 7 | 102 | 204 | 255
5 | 8
6 | 6
6 | 8
Spreadsheet: 887817d1738156713-index-match-from-rows-with-merged-cells-new-microsoft-excel-worksheet-3-
Sheet: Sheet1

 | 2024-10-24 00:00:00 |  | 2024-11-24 00:00:00
 | Target | [NAME] | Target | [NAME]
[NAME]
Minute
Preluare planificari reclamatii
Preluare planificari reclamatii casnic
Preluare planificari reclamatii business
Preluare planificari cereri
Preluare planificari cereri casnic
Preluare planificari cereri business
Rezolvare reclamatii E2E
Rezolvare reclamatii E2E casnic
Rezolvare reclamatii E2E business
Eroare la raspuns |  |  |  |  |  |  | I would like to extract cell e 26 in cell e 3 based on matching a3 (volumes) indicator, with a 26:63 and also matching row 1, nov-24 - 11/24/2024 with row 24 collumns d e - but for this situation we have a merged between these two d-e, and also matching row 2 with row 25 based on Rezultat "
OIS scrise
GDPR
Reclamatii multiple casnic
Reclamatii multiple Business
QA
Survey
FTE
2st Level | 2024-10-24 00:00:00 |  | 2024-11-24 00:00:00
 | Target | [NAME] | Target | [NAME]
[NAME] |  | 231 | 5 | 13367
Minute |  | 178865 |  | 178865
Preluare planificari reclamatii
Preluare planificari reclamatii casnic
Preluare planificari reclamatii business | 0.9 | 0.95 | 0.9 | 0.95
Preluare planificari cereri
Preluare planificari cereri casnic
Preluare planificari cereri business | 0.9 | 0.97 | 0.9 | 0.97
Timp raspuns reclamatii casnic | 5 | 6.15 | 5 | 6.15
Timp raspuns reclamatii business | 7 | 8.78 | 7 | 8.78
Timp raspuns reclamatii prosumator
Rezolvare reclamatii E2E
Rezolvare reclamatii E2E casnic | 0.91 | 0.921 | 0.91 | 0.921
Rezolvare reclamatii E2E business | 0.85 | 0.8834 | 0.85 | 0.8834
Rezolvare reclamatii E2E prosumator | 0.67 | 0.63 | 0.67 | 0.63
Eroare la raspuns
Eroare la raspuns casnic | 0.05 | 0 | 0.05 | 0
Eroare la raspuns business | 0.05 | 0.0317 | 0.05 | 0.0317
Eroare la raspuns prosumator | 0.05 | 0 | 0.05 | 0
OIS scrise
OIS scrise casnic | 0.89 | 0.91 | 0.89 | 0.91
OIS scrise Business | 0.89 | 0.91 | 0.89 | 0.91
OIS scrise Prosumator |  | 0.9 |  | 0.9
GDPR
GDPR casnic | 0.0015 | 0 | 0.0015 | 0
GDPR business | 0.0015 | 0 | 0.0015 | 0
GDPR prosumator | 0.0015 | 0 | 0.0015 | 0
Reclamatii multiple casnic | 0.13 | 0.1945 | 0.13 | 0.1945
Reclamatii multiple Business | 0.18 | 0.2957 | 0.18 | 0.2957
Reclamatii multiple prosumator
QA
QA casinic | 2.99 | 2.99 | 2.99 | 2.99
QA business | 2.97 | 3 | 2.97 | 3
QA prosumator | 2.95 | 3 | 2.95 | 3
Survey
Survey casnic | 0.67 | 0.696 | 0.67 | 0.696
Survey business | 0.6 | 0.538 | 0.6 | 0.538
Survey prosumator | 0.48 | 0.4 | 0.48 | 0.4
Spreadsheet: 94008d1293779482-dependent-drop-down-list-copy-of-111111
Sheet: Sheet1

PROVINCE | [NAME] |  | PROVINCELIST
PNH | PNH1 |  | PNH
PNH | PNH2 |  | KDL
PNH | PNH3 |  | KCM
PNH | PNH4 |  | KRT
KDL | KDL1
KDL | KDL2
KDL | KDL3
KCM | [NAME]
KCM | KCM2
KCM | KCM3
KCM | KCM4
KCM | KCM5
KCM | KCM6
KRT | KRT1
KRT | KRT2
KRT | KRT3
KRT | [NAME]
KRT | KRT5
KRT | KRT6
KRT | KRT7
KRT | [NAME]
Spreadsheet: 102464d1300389889-inserting-a-row-and-adding-the-new-rows-fortesting
Sheet: Sheet1

flt | error | mttb |  |  | qtb
2560 | 52 |  |  |  | 1
4500 | 65
8601 | 95
5624 | 24
9643 | 121
7891 | 46