tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: sally_beck__35759__MgmtSum-Q1-0331-PRELIM-C
Sheet: GrossMargin

PLAN2000
[NAME] | ENRON NORTH AMERICA
2000-03-01 00:00:00 | 1ST QUARTER 2000 DETAIL OF GROSS MARGIN
M.QTD
ENA |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Forecast Margin Calculation
 |  |  |  |  |  |  |  | Actual | Deals | Forecast | Total | Margin |  |  |  | Earnings Before Allocated Expenses
 | Business Team |  | DPR* | MPR | Accruals | Other | FTA | Margin | Identified | Margin | Margin | Plan | [NAME] |  |  | Plan | Forecast | [NAME]
[NAME] | Gas Trading |  | 59756
[NAME] | Power Trading |  | 67960
IR_FX | Financial Drift |  | 25829
ECT_INV_IRFX | Financial Trading
TRD_MKT | Canada |  | 16578 | 1555 |  |  | -2820
COAL | Coal |  | 653 | 80 | -7
WEATHER | GRM -  Weather |  | 5666
SO2 | Emissions |  | 3449
INSURANCE | GRM - New Products
EXEC_TRD | Executive Trading |  | -138
 | Total Trading & Risk Management
E_ORG | East Midstream
W_ORIG | West Midstream |  |  | 3723
PAPER | Industrial Downstream - Paper |  |  | 446
CHEMICALS | Industrial Downstream - Chemicals |  |  | 1
MDSTRM_IPP_ORIG | Midstream IPP
MEXICO | Mexico
 | Total Origination
GENCOS | Genco |  | 15231
N_BS_DEV | Generation Investments |  |  | 3553 |  |  |  |  |  | 3000
ASST_ORIG | Gas Assets
ASST_TRD | Gas Assets - Trading
 | Total Assets
EQUITY | Principal Investing |  |  | 96276
PROD_FIN | Energy Investments |  |  | 1708 | 36 |  |  |  |  | -3000
ASST_MGT_AND_RESTRCT | Special Assets |  |  |  |  |  |  |  |  | -4000
CTG_ASSETS | CTG Assets |  |  | 28471 | -168 |  |  |  |  | -2000
 | Total Investing
CTG | Commercial Transactions Group |  |  | 100
OF_CHAIR | Office of the Chairman
TREASURY_INT | Other Interest Related Charges |  |  | -7935 |  | -14363
 | Overview
 | Total
 | * Excludes Cap. Charge & Operating Costs
 | Check Figures
 | Gas Trading
 | Emerging Businesses
Spreadsheet: 298eb2a7-6a8a-4f06-a436-031059ceb5b5
Sheet: Sheet1

Sex Offense Incidents | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7
Offense Type
by Time of Day, 2011
Time of Day | Total Incidents1 | Offense Type
 |  | Forcible |  |  |  | Nonforcible
 |  | Forcible Rape | Forcible Sodomy | Sexual Assault with an Object | Forcible Fondling | Incest | Statutory Rape
Total | 70759 | 26221 | 6574 | 2738 | 28849 | 1034 | 5343
Total A.M. hours | 29588 | 11651 | 2605 | 1121 | 11562 | 459 | 2190
Midnight – 12:59 a.m. | 7519 | 2818 | 762 | 323 | 2818 | 153 | 645
1 a.m. – 1:59 a.m. | 2247 | 1217 | 164 | 87 | 635 | 20 | 124
2 a.m. – 2:59 a.m. | 2216 | 1320 | 162 | 64 | 571 | 18 | 81
3 a.m. – 3:59 a.m. | 1702 | 1040 | 129 | 68 | 399 | 5 | 61
4 a.m. – 4:59 a.m. | 1110 | 646 | 83 | 46 | 288 | 11 | 36
5 a.m. – 5:59 a.m. | 800 | 457 | 54 | 28 | 231 | 6 | 24
6 a.m. – 6:59 a.m. | 858 | 388 | 79 | 39 | 291 | 11 | 50
7 a.m. – 7:59 a.m. | 1251 | 438 | 106 | 42 | 550 | 19 | 96
8 a.m. – 8:59 a.m. | 3687 | 967 | 378 | 119 | 1858 | 63 | 302
9 a.m. – 9:59 a.m. | 2696 | 776 | 223 | 97 | 1293 | 47 | 260
10 a.m. – 10:59 a.m. | 2775 | 784 | 255 | 101 | 1333 | 50 | 252
11 a.m. – 11:59 a.m. | 2727 | 800 | 210 | 107 | 1295 | 56 | 259
Total P.M. hours | 36832 | 13067 | 3395 | 1426 | 15557 | 533 | 2854
Noon – 12:59 p.m. | 4715 | 1311 | 505 | 174 | 2245 | 94 | 386
1 p.m. – 1:59 p.m. | 3052 | 886 | 250 | 111 | 1445 | 68 | 292
2 p.m. – 2:59 p.m. | 3403 | 981 | 321 | 140 | 1612 | 67 | 282
3 p.m. – 3:59 p.m. | 3634 | 1090 | 344 | 133 | 1708 | 60 | 299
4 p.m. – 4:59 p.m. | 3159 | 994 | 290 | 132 | 1411 | 62 | 270
5 p.m. – 5:59 p.m. | 2894 | 1011 | 254 | 115 | 1266 | 35 | 213
6 p.m. – 6:59 p.m. | 2835 | 989 | 261 | 126 | 1198 | 34 | 227
7 p.m. – 7:59 p.m. | 2512 | 953 | 244 | 93 | 1036 | 23 | 163
8 p.m. – 8:59 p.m. | 2789 | 1125 | 253 | 110 | 1073 | 34 | 194
9 p.m. – 9:59 p.m. | 2599 | 1140 | 223 | 92 | 968 | 20 | 156
10 p.m. – 10:59 p.m. | 2681 | 1295 | 223 | 93 | 855 | 15 | 200
11 p.m. – 11:59 p.m. | 2559 | 1292 | 227 | 107 | 740 | 21 | 172
Unknown Time of Day | 4339 | 1503 | 574 | 191 | 1730 | 42 | 299
1NIBRS sex offense incidents may include more than one offense type.  The figures in this table represent the time of day for each appropriate offense type.
Spreadsheet: 220386d1363138686-countifs-or-averageifs-ef-57
Sheet: Sheet1

 |  |  | Bear | Red | Maxima |  |  |  |  | Bear |  | Maxima
 |  |  |  | Correct |  |  |  |  |  |  |  |  | Incorrect, I want the answer to be (9+5+8)/3 or 7.33333
Rabbit | Red | BMW | 10 |  |  |  | Rabbit | Red | BMW | 10
Bear | Blue | MAXIMA | 9 |  |  |  | Bear | Blue | MAXIMA | 9
Bear | Red | MAXIMA | 5 |  |  |  | Bear | Red | MAXIMA | 5
Rabbit | Green | MAXIMA | 3 |  |  |  | Rabbit | Green | MAXIMA | 3
Gopher | Yellow | BLA | 200 |  |  |  | Gopher | Yellow | BLA | 200
Bear | Red | MAXIMA | 8 |  |  |  | Bear | Red | MAXIMA | 8
Dog | Green | AUDI | 18 |  |  |  | Dog | Green | AUDI | 18
Spreadsheet: 58359ef9-eee1-4c58-8583-ad5f06e15a5a
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
FHISU | Test | FHISU | Histamine, 24-Hour Urine | Histamine, 24-Hour U | Enzyme Immunoassay |  |  |  | 4 | mL | Submit only 1 of the following:  -Collect 1 24-hour urine with 6N HCL added at the beginning of collection. Mix well and submit 4 mL aliquot. Ship refrigerate.  -Collect 24-hour urine without preservative. Submit 4 mL aliquot. Ship refrigerate.  Note: 1. Total Volume required               2. Avoid direct sunlight               3. Avoid taking allergy causing drugs, antihistamines, oral                    corticosteroids, and substances which block H2 receptors                    for at least 24 hours prior to specimen collection. | 2 mL | Specimens Other Than:	Urine Anticoagulants Other Than:	N/A Hemolysis:	N/A Thawing:	Warm OK;Cold OK Lipemia:	N/A Icteric:	N/A | Histamine, 24 hr urine:  0.006 - 0.131 mg/24 h   Creatinine, 24-Hour Urine Age (Years)            g/24 hours      3-8                    0.11-0.68     9-12                   0.17-1.41   13-17                   0.29-1.87  Adults                  0.63-2.50   Test Performed By:  Quest Diagnostics/Nichols Institute                                         33608 [NAME]                                         San Juan Capistrano, CA  92690 | Tuesday, Friday | 1 day | 3 - 5 days | 1 | 83088 |  |  |  |  | Quest Diagnostics/Nichols Institute
FHISU | [NAME] | URINE | [NAME] |  |  |  | Refrigerated | 14 days
FHISU | Order Question | Z2446 | Total Volume |  | Plain Text
FHISU | Order Question | Z2447 | Collection Duration |  | Plain Text
FHISU | Result | Z2446 | Total Volume | Total Volume | Alphanumeric |  |  |  |  | mL |  |  |  |  |  |  |  |  |  | 3167-4
FHISU | Result | Z2448 | Histamine, 24 hr U | Histamine, 24 hr U | Numeric |  |  |  |  | mg/24 h |  |  |  |  |  |  |  |  |  | 9410-2
FHISU | Result | Z2449 | Creatinine, 24-Hour U | Creatinine, 24-Hour U | Alphanumeric |  |  |  |  | g/24 h |  |  |  |  |  |  |  |  |  | 2162-6
Spreadsheet: 156237d1337238415-vlookup-with-2-criteria-earned-title-sample-2
Sheet: Sheet1

 |  |  | Money Spent on my Goods ($)
 |  | Customer Name | May | June | July | August | Total | Title Earned |  |  |  |  |  |  |  |  | Money Spent ($) | Title Earned
 |  | [NAME] | 10 | 10 | 200 | 350 |  |  |  | I want auto-generated title as seeing from the |  |  |  |  |  |  | 0 | Shopper
 |  | [NAME] | 3 | 2 | 1 | 5 |  |  |  | total amount of money spent here |  |  |  |  |  |  | 101 | Shopaholic
 |  | [NAME] | 11 | 11 | 11 | 2 |  |  |  |  |  |  |  |  |  |  | 201 | VIP Shopper
 |  | Mana | 33 | 60 | 4 | 30 |  |  |  |  |  |  |  |  |  |  | 500 | VVIP Shopper
 |  | Adame | 100 | 50 | 22 | 60
Spreadsheet: 169914d1343110207-how-to-look-up-value-to-a-list-with-comma-separated-text-meeting-schedule
Sheet: Sheet2

Meeting Schedule
Participants | Conference Room | Date | Day | Time
Billy, Peggy,Sam,[NAME] | Lion room | 2012-08-06 00:00:00 | Monday | 9.00am
Billy,[NAME] | Elephant room | 2012-08-06 00:00:00 | Monday | 12.00am
Peggy,Wayne | Eagle room | 2012-08-06 00:00:00 | Monday | 15.00pm
Billy, [NAME], Sunit, [NAME] | Lion room | 2012-08-07 00:00:00 | Tuesday | 9.00am
[NAME], [NAME] | Fuel room | 2012-08-07 00:00:00 | Tuesday | 12.00am
Orlando, Sunit | Orlando room | 2012-08-07 00:00:00 | Tuesday | 15.00pm
Desired answer
 | Monday | Monday | Monday | Tuesday | Tuesday | Tuesday
 | 9.00am | 12.00am | 15.00pm | 9.00am | 12.00am | 15.00pm
Billy | Lion room | Elephant room |  | Lion room
Peggy | Lion room |  | Eagle room
Orlando |  |  |  |  |  | Orlando room
Wayne |  | Elephant room | Eagle room
[NAME] | Lion room |  |  | Lion room
[NAME] | Lion room |  |  |  | Fuel room
Sunit |  |  |  | Lion room | Fuel room | Orlando room
[NAME] |  |  |  | Lion room
Spreadsheet: 105644d1302945018-excel-2007-extracting-values-from-specific-row-and-column-with-criteria-book2-1-
Sheet: Sheet2

[NAME] | Punct (m) | FX (kN) | MY (kNm) | MZ (kNm) |  |  |  |  |  |  |  |  |  | Bar numbers | Sections
1 | x= 0.0 | 7243.41 | 128.22 | 76.16
1 | x= 0.0 | 3596.11 | -133.26 | 63.21 |  |  | For | Bar number: |  | 2
1 | x= 0.0 | 6556.04 | 248.17 | 44.61 |  |  |  | Section: |  | x= 0.0
1 | x= 0.0 | 4817.86 | -306.33 | 108.8
1 | x= 0.0 | 5732.85 | 77.51 | 198.53 |  |  | Nmax= |  | Myaf= |  | Mzaf=
1 | x= 0.0 | 5717.27 | 81.92 | -183.5 |  |  | Nmin= |  | Myaf= |  | Mzaf=
1 | x=3.50 | 7186.62 | -208.55 | -174.21 |  |  | Naf= |  | Mymax= |  | Mzaf=
1 | x=3.50 | 3554.04 | -40.02 | -93.06 |  |  | Naf= |  | Mymin= |  | Mzaf=
1 | x=3.50 | 6015.06 | -10.85 | -162.1 |  |  | Naf= |  | Myaf= |  | [NAME]
1 | x=3.50 | 7122.87 | -237.66 | -168.92 |  |  | Naf= |  | Myaf= |  | Mzmin=
1 | x=3.50 | 5660.48 | -160.44 | -16.62
1 | x=3.50 | 5971.98 | -159.85 | -234.92
2 | x= 0.0 | 7457.98 | -1.5 | -149.45
2 | x= 0.0 | 3872.74 | -3.57 | -16.27
2 | x= 0.0 | 5989.54 | 140.46 | -124.25
2 | x= 0.0 | 5988.74 | -341.22 | -124.32
2 | x= 0.0 | 6099.51 | -2.09 | 38.41
2 | x= 0.0 | 5917.84 | -3.86 | -383.15
2 | x=3.50 | 7401.19 | 2.01 | 233.14
2 | x=3.50 | 3830.67 | 5.16 | 154.74 |  |  | I have the data in column  A:E. I need a formula or a vba code to sort like above. I give the bar number and the section. From the first find to the last .If i get the values from column C with a vlookup i could get the others.I just couldnt find a solution.
2 | x=3.50 | 5931.95 | 268.47 | 226.57
2 | x=3.50 | 6491.57 | -164.41 | 236.87
2 | x=3.50 | 6088.05 | 6.57 | 363.92
2 | x=3.50 | 4682.43 | 2.15 | 111.3
Spreadsheet: 109417d1306277587-excel-2007-slow-code-in-2007-4505apr11
Sheet: Sheet1

DFT | 6000 | ZA | GBP | MIKE | MIKE | 30.04.11 | 24.05.11 | 194069 | 63.33 | 40 |  |  |  | 600000 | MTA_0001 |  | 234
 |  |  |  |  |  |  |  | 194069 | 37.5 | 40 |  |  |  | 600000 |  |  | 250
 |  |  |  |  |  |  |  | 194069 | 31.25 | 40 |  |  |  | 600000 |  |  | 266
 |  |  |  |  |  |  |  | 194069 | 114.58 | 40 |  |  |  | 600000 |  |  | 282
 |  |  |  |  |  |  |  | 194069 | 10.41 | 40 |  |  |  | 600000 |  |  | 294
 |  |  |  |  |  |  |  | 194069 | 145.83 | 40 |  |  |  | 600000 |  |  | 310
 |  |  |  |  |  |  |  | 194069 | 79.16 | 40 |  |  |  | 600000 |  |  | 326
 |  |  |  |  |  |  |  | 194069 | 63.33 | 40 |  |  |  | 600000 |  |  | 342
 |  |  |  |  |  |  |  | 194069 | 114.58 | 40 |  |  |  | 600000 |  |  | 354
 |  |  |  |  |  |  |  | 194069 | 31.66 | 40 |  |  |  | 600000 |  |  | 370
 |  |  |  |  |  |  |  | 194069 | 174.16 | 40 |  |  |  | 600000 |  |  | 386
 |  |  |  |  |  |  |  | 194069 | 10.41 | 40 |  |  |  | 600000 |  |  | 402
 |  |  |  |  |  |  |  | 194069 | 145.83 | 40 |  |  |  | 600000 |  |  | 418
 |  |  |  |  |  |  |  | 194069 | 37.5 | 40 |  |  |  | 600000 |  |  | 430
 |  |  |  |  |  |  |  | 194069 | 31.25 | 40 |  |  |  | 600000 |  |  | 446
 |  |  |  |  |  |  |  | 194069 | 114.58 | 40 |  |  |  | 600000 |  |  | 462
 |  |  |  |  |  |  |  | 194069 | 31.66 | 40 |  |  |  | 600000 |  |  | 478
 |  |  |  |  |  |  |  | 194069 | 145.83 | 40 |  |  |  | 600000 |  |  | 490
 |  |  |  |  |  |  |  | 194069 | 79.16 | 40 |  |  |  | 600000 |  |  | 506
 |  |  |  |  |  |  |  | 194069 | 63.33 | 40 |  |  |  | 600000 |  |  | 522
 |  |  |  |  |  |  |  | 194069 | 37.5 | 40 |  |  |  | 600000 |  |  | 538
 |  |  |  |  |  |  |  | 194069 | 31.25 | 40 |  |  |  | 600000 |  |  | 554
 |  |  |  |  |  |  |  | 194069 | 174.16 | 40 |  |  |  | 600000 |  |  | 566
 |  |  |  |  |  |  |  | 194069 | 10.41 | 40 |  |  |  | 600000 |  |  | 582
 |  |  |  |  |  |  |  | 194069 | 145.83 | 40 |  |  |  | 600000 |  |  | 598
 |  |  |  |  |  |  |  | 194069 | 79.16 | 40 |  |  |  | 600000 |  |  | 614
 |  |  |  |  |  |  |  | 194069 | 31.25 | 40 |  |  |  | 600000 |  |  | 626
 |  |  |  |  |  |  |  | 194069 | 114.58 | 40 |  |  |  | 600000 |  |  | 642
 |  |  |  |  |  |  |  | 194069 | 31.66 | 40 |  |  |  | 600000 |  |  | 658
 |  |  |  |  |  |  |  | 194069 | 79.16 | 40 |  |  |  | 600000 |  |  | 674
 |  |  |  |  |  |  |  | 194069 | 63.33 | 40 |  |  |  | 600000 |  |  | 690
 |  |  |  |  |  |  |  | 194069 | 114.58 | 40 |  |  |  | 600000 |  |  | 702
 |  |  |  |  |  |  |  | 194069 | 31.66 | 40 |  |  |  | 600000 |  |  | 718
 |  |  |  |  |  |  |  | 194069 | 174.16 | 40 |  |  |  | 600000 |  |  | 734
 |  |  |  |  |  |  |  | 194069 | 10.41 | 40 |  |  |  | 600000 |  |  | 750
 |  |  | [NAME] |  | 2654.44 |  |  | 541032 |  | 50 | 600000 |  |  | 600000
Spreadsheet: 844020d1695823381-applying-conditional-formatting-based-on-remaining-days-in-excel-cell-content-before
Sheet: Purchases

Product | Supplier | Price | Shipping | Quantity | Total price | Invoice date | Pay before | Project ID | Type of purchase | Invoice paid | Received | Days to pay
Fradiomycin | VWR | 56 | 0 | 1 |  | 2023-09-04 00:00:00 |  | BIOP002 | Chemicals | No | Yes |  |  | 10 worsten
Bacillus thuringiensis | DSMZ | 100 | 27 | 1 |  | 2023-09-05 00:00:00 |  | BIOP003 | Microbes | No | No
pUB110 | DSMZ | 100 | 27 | 1 |  | 2023-09-27 00:00:00 |  | BIOP002 | Plasmids | No | No
Pasjeshouder | Overig | 20.6 | 9 | 1 |  | 2023-09-26 00:00:00 |  | BIOP001 | Office | No | No
Spreadsheet: 73690f46-51c8-4024-8249-709df66874f8
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | SWIM | T1 | BIKE | T2 | RUN | POSITION | TOTAL TIME
265445 | 55419 | [NAME] | [NAME] | MRI | 43 | 00:12:41 | 00:00:25 | 00:44:48 | 00:00:25 | [NAME] | 1 | 01:25:58
265445 | 55420 | [NAME] | Zheemba | MRI | 44 | [NAME] | [NAME] | 01:00:55 | [NAME] | [NAME] | 2 | 01:43:52
Spreadsheet: 541238d1507192660-match-chart-for-bonus-copy-of-book6
Sheet: Sheet1

 |  | <60% | 60%-80% | >80%-90% | >90%-110% | >110%
 |  | 0.51 | 0.61 | 0.81 | 0.91 | 1.11
 | 4 | 13 | 11.5 | 9.75 | 6.5 | 5
 | 3 | 11.5 | 9.75 | 6.5 | 5 | 3.25
 | 2 | 6.5 | 5 | 3.25 | 2 | 0
 | 1 | 0 | 0 | 0 | 0 | 0
 |  |  |  | result | formula
 |  | 4 | 0.599 | 13
 |  | 3 | 0.8 | 9.75
 |  | 2 | 1.1 | 2
 |  | 1 | 0.906 | 0
Spreadsheet: 781964d1653659030-return-all-rows-filtered-by-multiple-columns-filter_help
Sheet: Sheet1

 |  |  |  |  |  |  | 0 | 1 | 2 | 3 | 4 | 5
 | Parent Part | Child Part | Qty |  |  |  | 6 | 7 | 8 | 9 | 10 | 11
 | pOne | cOne | 836 |  |  |  | 12 | 13 | 14 | 15 | 16 | 17
 | pOne | cTwo | 12 |  |  |  | 18 | 19 | 20 | 21 | 22 | 23
 | pOne | cThree | 50 |  |  |  | 24 | 25 | 0 | 0 | 0 | 0
 | pOne | cFour | 0
 | pTwo | cFive | 0
 | pTwo | cSix | 25 |  |  |  |  | What I'm currently doing | \---> |  | cTwo | 12
 | pTwo | cSeven | 89 |  |  |  |  |  |  | pOne | cFour | 0
 | pThree | cEight | 1
 | pThree | cNine | 65 |  |  |  |  |  |  | Not sure what D3:D15 should be?
 | pThree | cTen | 21 |  |  | Search for: | pThree | What I want to do | \--->
 | pThree | cOne | 12
 | pThree | cTwo | 17
 | pThree | cThree | 644
Spreadsheet: 52157d1251865947-subtracting-hours-in-a-work-schedule-scedule-for-3-and-15_1
Sheet: Store 15

STORE 15
DATE
EMPLOYEE | WEDNESDAY |  |  | THURSDAY |  |  | FRIDAY |  |  | SATURDAY |  |  | MONDAY |  |  | TUESDAY
DARCELL | 09:00:00 | 16:00:00 | 6.499999999999999 | 09:00:00 | 16:00:00 | 6.499999999999999 | 09:00:00 | 16:00:00 | 6.499999999999999 | 08:15:00 | 16:00:00 | 7.249999999999999 | 09:00:00 | 16:15:00 | 6.750000000000001 | 09:00:00 | 16:00:00 | 6.499999999999999 | 40 |  |  | DARCELL |  | 40
CLINTON | 09:00:00 | 16:00:00 | 6.499999999999999 | 09:00:00 | 16:00:00 | 6.499999999999999 | 09:00:00 | 16:00:00 | 6.499999999999999 | 09:00:00 | 16:00:00 | 6.499999999999999 | 09:00:00 | 16:00:00 | 6.499999999999999 | 09:00:00 | 16:00:00 | 6.499999999999999 | 38.99999999999999 |  |  | CLINTON |  | 38.99999999999999 | validate the timelist !! Press Ctrl F3
LAURA | 09:00:00 | 16:00:00 | 6.499999999999999 | 09:00:00 | 16:00:00 | 6.499999999999999 | 09:00:00 | 16:00:00 | 6.499999999999999 | 09:00:00 | 16:00:00 | 6.499999999999999 | 09:00:00 | 16:00:00 | 6.499999999999999 | 14:15:00 | 21:15:00 | 6.499999999999999 | 38.99999999999999 |  |  | LAURA |  | 38.99999999999999
CATHERINE | 14:15:00 | 21:15:00 | 6.499999999999999 |  |  | 0 |  |  | 0 |  |  | 0 |  |  | 0 |  |  | 0 | 6.499999999999999 |  |  | CATHERINE |  | 6.499999999999999
TERENCE | 14:15:00 | 21:15:00 | 6.499999999999999 |  |  | 0 |  |  | 0 |  |  | 0 |  |  | 0 |  |  | 0 | 6.499999999999999 |  |  | TERENCE |  | 6.499999999999999
NICK |  |  | 0 |  |  | 0 |  |  | 0 |  |  | 0 |  |  | 0 |  |  | 0 | 0 |  |  | NICK |  | 0 | without validation
Spreadsheet: 870530d1717036185-vlookup-conditioned-to-a-date-test-1-
Sheet: Report 2024

 |  |  |  |  |  |  |  |  |  |  | 2024-01-01 00:00:00
 |  |  |  |  |  |  |  |  |  |  | Simar, [NAME] | 220166.81
 |  |  |  |  |  |  |  |  |  |  | [NAME] | 39191.64
 |  |  |  |  |  |  |  |  |  |  | M.E.R. Construções, unipessoal Lda | 36869.42
 |  |  |  |  |  |  |  |  |  |  | Total | 296227.87
 |  |  |  |  |  |  |  |  |  |  | 2024-02-01 00:00:00
 |  |  |  |  |  |  |  |  |  |  | Simar, [NAME] | 290893
 |  |  |  |  |  |  |  |  |  |  | [NAME] | 50955.16
 |  |  |  |  |  |  |  |  |  |  | M.E.R. Construções, unipessoal Lda | 36873.67
 |  |  |  |  |  |  |  |  |  |  | Total | 378721.83
 |  |  |  |  |  |  |  |  |  |  | 2024-03-01 00:00:00
 |  |  |  |  |  |  |  |  |  |  | Simar, [NAME] | 224322.46
 |  |  |  |  |  |  |  |  |  |  | [NAME] | 49152.68
 |  |  |  |  |  |  |  |  |  |  | M.E.R. Construções, unipessoal Lda | 49131.07
 |  |  |  |  |  |  |  |  |  |  | Total | 322606.21
 |  |  |  |  |  |  |  |  |  |  | 2024-04-01 00:00:00
 |  |  |  |  |  |  |  |  |  |  | Simar, [NAME] | 204148.46
 |  |  |  |  |  |  |  |  |  |  | [NAME] | 58185.3
 |  |  |  |  |  |  |  |  |  |  | M.E.R. Construções, unipessoal Lda | 39587.67
 |  |  |  |  |  |  |  |  |  |  | Total | 301921.43
 |  |  |  |  |  |  |  |  |  |  | 2024-05-01 00:00:00
 |  |  |  |  |  |  |  |  |  |  | Simar, [NAME] | 275000
 |  |  |  |  |  |  |  |  |  |  | [NAME] | 61094.1
 |  |  |  |  |  |  |  |  |  |  | M.E.R. Construções, unipessoal Lda | 44000
 |  |  |  |  |  |  |  |  |  |  | Total | 380094.1
Spreadsheet: 0b405207-99c7-4a3a-bc47-07e0b78c73c5
Sheet: 1

 | October 11 | October 18 | October 25 | November 1 | November 8
Total Interest Rate*
Cleared** | 184799943.87 | 187919848.84 | 191874160.22 | 193208930.59 | 196616542.47
Uncleared | 125939317 | 124512482.49 | 124671389.01 | 123757033.6 | 123474374.86
Total Cross-Currency
Cleared | 0 | 0 | 0 | 0 | 0
Uncleared | 13100551 | 13104848 | 13086357 | 13020337.872 | 13054556
Total Credit |  | 9212082
Cleared | 2169494 | 2199880 | 2179209 | 2168663 | 2186928
Uncleared | 7047321 | 7141932 | 7243293 | 7274695 | 6865434
Total FX**** | 31450000 | 31450000
Cleared | N/A | N/A | N/A | N/A | N/A
Uncleared | N/A | N/A | N/A | N/A | N/A
Total Equity**** | 4420000 | 4420000
Cleared | N/A | N/A | N/A | N/A | N/A
Uncleared | N/A | N/A | N/A | N/A | N/A
Total Other Commodity**** | 1700000 | 1700000
Cleared | N/A | N/A | N/A | N/A | N/A
Uncleared | N/A | N/A | N/A | N/A | N/A
TOTAL
Weekly snapshot, gross notional amount outstanding by asset class and cleared status (millions of USD), all products, tenors, and participant types. For cleared swaps, this table reflects only one of the two swaps that results from the clearing process; therefore, the numbers on this table are analogous to the notional value of futures open interest.
*See Data Dictionary for asset class descriptions and Explanatory Notes for data sources.
**See Explanatory Notes for cleared and uncleared descriptions.
***N/A indicates that data are not currently available.
****These numbers are estimates.
The Commission requests feedback on the format and content of this CFTC Swaps Report table. Submit comments to [EMAIL].
Spreadsheet: michelle_lokay__26631__imbalsumm0102
Sheet: burlington

56423
Day | Measured | Scheduled | Imbal
1 | 159499 | 157188
2 | 105053 | 103320
3 | 164647 | 163202
4 | 179040 | 178178
5 | 149175 | 147800
6 | 150519 | 151198
7 | 148438 | 146608
8 | 159232 | 170395
9 | 148591 | 148193
10 | 147913 | 146545
11 | 147099 | 146447
12 | 148657 | 146770
13 | 127425 | 125809
14 | 168951 | 170065
15 | 126393 | 126104
16 | 126992 | 127198
17 | 142396 | 146224
18 | 147142 | 146224
19 | 168294 | 168062
20
21
22
23
24
25
26
27
28
29
30
31
2001-01-31 00:00:00 |  |  | -318209
2001-02-19 00:00:00
Spreadsheet: 204583d1357581684-copying-columns-of-data-sample
Sheet: 2010

Customers | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec
A
B
D
E
G
J
K
Spreadsheet: 876152d1722846252-need-formula-for-tier-incentive-calculation-calculation-doing-formula
Sheet: Dr. Nadia Banafa

Contract Terms (*)
 |  | Consultation | 0.5
 |  | Procedure in Clinics After Deducting  consumables & depreciation | 0.4
 |  | OHE To Be Deducted From Total Revenue | 0.1
Doctor Calculation
 |  | Gross Doctor Revenue
 |  | Consultation Revenue | 0
 |  | Amount to be paid
 |  | Clinic Procedures Revenue | 0
 |  | Consumables | 0
 |  | Machine Depreciation | 0
 |  | Net Doctor Revenue
 |  | Amount to be Paid
 |  | Clinic Fees 10%
 |  | OR Revenue | 0
 |  | Amount to be Paid
 |  | Total Amount to be Paid
 |  | Net Amount to be Paid
Prepared By …................. |  |  |  | CFO: | .......................
 |  |  |  |  |  |  |  |  | Operations Report on Jan - 2020
 |  |  |  |  |  |  |  |  | # | Patient Name and file number |  | [NAME] | Surgeon | Anesthesia | Amount
 |  |  |  |  |  |  |  |  | 1 | Abdalazez Algaefi 10063561 |  | Vaser Liposuction chest +Excission of Gland | Dr [NAME] | GA | 3000
 |  |  |  |  |  |  |  |  | 2 | [NAME] 10063608 |  | Vaser Liposuction | Dr [NAME] | GA