tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: john_hodge__16415__VNG Pipeline Setup-MAY-01
Sheet: Transport

 | Transport Summary
 | VIRGINIA NATURAL GAS |  |  | Gas Day:
 | Northern VNG System |  |  | Primary | Primary |  | ENA / VNG
 |  |  | Contract | Receipt | Delivery | MDTQ | Flowing | Available
 | TGP | FT-A | 47 | Zn 0 | S [NAME] | 2375 | 2375
 | TGP | FT-A | 47 | Zn 1-500 | S [NAME] | 2348 | 0
 | TGP | FT-A | 47 | Zn 1-800 | S [NAME] | 0 | 2348
 | TGP | FT-A | 21881 | Zn 0 | S [NAME] | 2598 | 0
 | TGP | FT-A | 21882 | Zn 1-500 | S [NAME] | 1062 | 0
 | TGP | FT-A | 21882 | Zn 1-800 | S [NAME] | 1062 | 0
 | TRCO | FT | 0.6507 | Zn 2 | [NAME] | 556 | 550
 | CNG | FTNN | 700005 | Storage | Quantico | 40148 | 0
 | CNG | FTNN | 100104 | Storage | Quantico | 15225 | -11385
 | CNG | LNG | 200088 | Storage | Quantico | 11990 | 0
 | CNG | FT | 100007 | Storage | Quantico | 13500 | 0
 | CNG | FT | 100007 | Oakford | Quantico | 12981 | 0
 | CNG | FT | 100007 | Cornwell | Quantico | 2172 | 0
 | CNG | FT | 100007 | Petersburg | Quantico | 2430 | 0
 | CNG | FT | 100007 | Hastings | Quantico | 3755 | 0
 | CNG | FT | 100007 | Finnefrock | Quantico | 1295 | 0
 | CNG | FT | 100007 | [NAME] | Quantico | 556 | 0
 | CNG | FT | 100007 | S Webster/Pool | Quantico | 21490 | 11385
 |  |  |  |  | K# 100007 MDQ: |  |  | K#100007 FLOWING VOL
 | Southern VNG System |  |  | Primary | Primary |  | ENA / VNG
 |  |  | Contract | Receipt | Delivery | MDTQ | Flowing | Available
 | Gulf | FTS-1 | 37901 | Rayne | Leach | 51479 | 51479
 | TCO | SST | 60536 | Storage | Boswell | 14625 | 0
 | TRCO | FT | 3.1212 | Boswell | Emporia | 14625 | 0
 | TRCO | FS | 0.3924 | Zn 1 | Emporia | 3400 | 3400
 | TRCO | FS | 0.3924 | Zn 2 | Emporia | 5000 | 5000
 | TRCO | FS | 0.3924 | Zn 3 | Emporia | 11600
 | TRCO | FS | 0.3924 | Zn 4 | Emporia | 0 | 0
 | TRCO | GSS | 0.3768 | Storage | Emporia | 2070 | -62
 | TRCO | ESS | 6558 | Storage | Emporia | 8970 | 0
 | TRCO | WSS | 3767 | Storage | Emporia | 8523 | -1802
 | TCO | LNG | 35889 | Storage | VNG | 52090 | -2571
 | TCO | SST | 60536 | Emporia | VNG | 14625 | 0
 | TCO | SST | 38088 | Storage | VNG | 50270 | -9168
 | TCO | FTS | 38115 | Lebanon | VNG | 5000 | 0
 | TCO | FTS | 38115 | Cobb | VNG | 2631 | 0
 | TCO | FTS | 38115 | Leach / Pool | VNG | 50270 | 0
 | TCO | FTS | 65066 | Emporia | VNG | 38000 | 35515
 |  |  |  | [NAME] | Current | Available
 |  |  | Total Storage Delivered to VNG:
 |  |  | Total Transport Delivered to VNG:
 |  |  | Total Gated Deliveries to VNG:
 |  |  |  | VNG TRADING POSITION FOR:
 |  | PIPE | POINT | LONG / (SHORT)
 |  | Tco | POOL | 0
 |  | GULF | M/L | 0
 |  | [NAME] | SP | 0
 |  | TENNESSEE | Z0 | 0
 |  | TENNESSEE | Z1-500 | 0
 |  | TENNESSEE | Z1-800 | 0
 |  | TRANSCO | Z1-30 | 0
 |  | TRANSCO | Z2-45 | 0
 |  | TRANSCO | Z3-65 | 0
 |  | TRANSCO | Z4-85 | 0
Spreadsheet: 191004d1351873875-merge-multiple-sheets-into-one-sheet-advfilterrep
Sheet: Jardine

Date | Region | Rep | Item | Units | Cost | Total
2012-01-02 00:00:00 | Ontario | [NAME] | Binders | 77 | 19.99 | 1539.23
2012-01-29 00:00:00 | Ontario | [NAME] | Clipboards | 100 | 4.99 | 499
2012-01-29 00:00:00 | Ontario | [NAME] | Clipboards | 68 | 4.99 | 339.32
2012-01-29 00:00:00 | Ontario | [NAME] | Pen Sets | 91 | 4.99 | 454.09
2012-01-29 00:00:00 | Ontario | [NAME] | Pen Sets | 70 | 4.99 | 349.3
Spreadsheet: 88adcb46-28e2-4717-b9c8-40389988d303
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10
Cost of Production Calculator
by [NAME], [NAME], & Lynn Kime
 |  |  |  |  | A tool to calculate and analyze the money invested in a block of fruit trees in Pennsylvania.
 |  |  |  |  | These totals are calculated under the assumption that the cost of establishment has already
 |  |  |  |  | paid for itself.  Use well-established blocks for best results.  Enter data in white boxes only.
 |  |  |  |  | Directions:
 |  |  |  | 1) | click on 'Farm Info' and provide the costs for your farm in each white box.  Those figures should reflect
 |  |  |  |  | the expenses accrued over one year.  The division of labor should be fill out in consideration of what percent of wages are paid
 |  |  |  |  | for each different task this year.
 |  |  |  | 2) | click on one of the other four tabs ('apples', 'peaches' etc.) .to analyze the cost of production for a block of one of these crops
 |  |  |  |  | Provide information on the block you wish to analyze in the light green block at the top - white boxes only.
 |  |  |  | 3) | Change the defaults in the white boxes below to reflect how this block was managed by answering 'yes' or 'no'.  These defaults are found below
 |  |  |  |  | the light green block.  In the case of the 'custom hire' and 'spray program' defaults - should you report savings in these areas, indicate
 |  |  |  |  | the percent saved over normal in the outlined box below.  For instance, if you had no mites and you believe miticide is 20% of your program,
 |  |  |  |  | by not spraying miticide, you'd have saved 20%.
 |  |  |  | 4) | Should you want to compare one level of production to another, clicking on the 'block comparison' will give you a quick
 |  |  |  |  | comparison of the cost of production between different crops
 |  |  |  |  | Hint: You can analyze any crop in any of the 'apples', 'peaches' etc tabs, not only the one used for the title of the tab.
 |  |  |  |  | Disclaimer: Calculator not accurate for crops in which harvest labor is saved, i.e. mechanized harvested crops such as tart cherries. The accuracy and predictions of fruit production calculators are based on certain cost measures and practices, all results may not be applicable to all opeartions.
 |  |  |  |  |  |  |  |  |  | extension.psu.edu/fruit-production
Spreadsheet: 21b74151-4bb9-4490-9fca-4e9055e7c2b3
Sheet: Sheet1

Table 9--U.S. vegetable oil and fats prices | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8
Marketing | Soybean | Cottonseed | Sunflowerseed | Canola | Peanut | Corn | Lard 6 | Edible
year | oil 2 | oil 3 | oil 4 | oil 4 | oil 5 | oil 6 |  | tallow 6
 | Cents/pound
2003/04 | 29.97 | 31.21 | 33.42 | 33.76 | 60.84 | 28.43 | 26.13 | 22.37
2004/05 | 23.01 | 28.01 | 43.71 | 30.78 | 53.63 | 27.86 | 21.8 | 18.48
2005/06 | 23.41 | 29.47 | 40.64 | 31 | 44.48 | 25.18 | 21.74 | 18.16
2006/07 | 31.02 | 35.7 | 58.03 | 40.57 | 52.99 | 31.8 | 28.43 | 27.32
2007/08 | 52.03 | 73.56 | 91.15 | 65.64 | 94.53 | 69.4 | 40.85 | 41.68
2008/09 | 32.16 | 37.1 | 50.24 | 39.54 | 78.49 | 32.75 | 26.72 | 25.47
2009/10 | 35.95 | 40.27 | 52.8 | 42.88 | 59.62 | 39.29 | 31.99 | 32.26
2010/11 | 53.2 | 54.5 | 86.12 | 58.68 | 77.24 | 60.76 | 51.52 | 51.34
2011/12 | 51.9 | 53.22 | 83.2 | 57.19 | 100.15 | 56.09 | 48.11 | 50.33
2012/13 | 47.13 | 48.6 | 65.87 | 56.17 | 91.83 | 46.66 | 39.64 | 43.24
2013/141 | 34.5-37.5 | 39.0-42.0 | 54.5-57.5 | 39.5-42.5 | 72.0-75.0 | 36.5-39.5 | 38.0-41.0 | 35.0-38.0
2012/13
October | 49.31 | 51.31 | 74 | 57.5 | 103 | 54.75 | 51.6 | 42.27
November | 46.27 | 49.05 | 70.3 | 58.2 | 99.9 | 51.93 | 57 | 37.15
December | 47.16 | 50.06 | 67.5 | 57.13 | 98.56 | 50.63 |  | 40.92
January | 48.85 | 50.94 | 65.25 | 57.19 | 96.75 | 52.06 | 52.45 | 43.5
February | 49.33 | 51.56 | 65 | 59.38 | 86 | 51.71 | 45.56 | 41.93
March | 48.62 | 50.2 | 64.6 | 58.95 | 79.05 | 47.76 |  | 45
April | 49.28 | 49.94 | 64 | 60.44 | 77.5 | 47.06 | 43.5 | 43.5
May | 49.31 | 49.75 | 64 | 60.45 | 80 | 45.23 | 44.5 | 43.86
June | 47.84 | 48.25 | 64 | 57.5 | 82.75 | 42.5 | 48.5 | 48.44
July | 45.19 | 46.19 | 64 | 53.25 | 84 | 38.91 | 53.25 | 49.13
August | 42.33 | 43.1 | 64 | 48.05 | 83 | 38.93 | 56.89 | 43.18
September | 42.12 | 42.81 | 63.75 | 46 | 82 | 38.46 | 64.78 | 40.02
2013/14
October | 39.66 | 41.19 | 60.5 | 44.88 | 81 | 37.85 | 43 | 33.17
November | 39.58 | 42.05 | 57.4 | 45.05 | 78.7 | 38.79 | 48 | 38.88
December | 37.63 | 43.19 | 57 | 42.63 | 75.38 | 38.31 | 41.5 | 39.62
January1 | 34.95 | 47.1 | 57 | 39.75 | 65.7 | 38.79 | 33 | 35.84
1 Preliminary.  2 Decatur, IL.  3 PBSY Greenwood, MS.  4 Midwest. 5 Southeast mills.  6 Chicago.
NA = Not available.
Sources: USDA, Agricultural Marketing Service,  Monthly Feedstuff Prices and Milling and Baking News.
Last update: | 2014-02-12 09:20:58.530000
Spreadsheet: 719372d1613651496-compare-the-value-to-matrix-and-provide-out-as-count-compare-and-count
Sheet: Sheet1

 | Table 1 |  | Class
 | Topics | Category | AB | BC | CD
 | 1+1 = 2 | A | Y | Y
 | Enjoy View | A | Y | Y
 | Sky is blue | B |  | Y | Y
 | Love Earth | B | Y | Y | Y
 | Sun is RED | C | Y | Y | Y
 | Grow Trees | C | Y | Y
 | Water is colurless | D |  | Y | Y
 | Conserve Water | D |  | Y | Y
 |  |  | Class
 |  | Category | AB | BC | CD
 |  | A
 |  | B
 |  | C
 |  | D
 | No. of Topics under each category to be updated against respective class
 | Input details are section in YELLOW and based on the input, output to be updated in GREY
Spreadsheet: 854366d1704276001-make-formula-dynamic-dynamic-formula-aligw
Sheet: Sheet1

December | 2023 |  | Banking Ledger
Date | Name | Cash  £ | Cheque  £ | Date Spent | Amount Spent  £ | Description | Amount Banked  £ | Notes
Week 1
Date | Name | Cash  £ | Cheque  £ | Date Out | Out  £ | Description | Banked  £ | Notes
 | Auto Cash B/F | 151.79
 |  |  |  | 2024-01-03 00:00:00 |  | Bank Cheques | 100
 |  |  |  | 2024-01-03 00:00:00 |  | Bank Cash Transfer | 20
 |  |  |  | 2024-01-03 00:00:00 |  | Bank Cash Transfer | 15
 |  |  |  | 2024-01-03 00:00:00 |  | Bank Cash Transfer | 3
 |  |  |  | 2024-02-03 00:00:00 |  | Bank Cash Transfer | 2.5
 |  |  |  | 2024-02-03 00:00:00 |  | Bank Cash Transfer | 0.75
 |  |  |  | 2024-01-03 00:00:00 |  | Bank Cash Transfer | 1.5
Spreadsheet: 141662d1329391488-list-several-unknown-number-data-from-database-within-a-tolerance-value-ef46_list-several-data-within-a-tolerance-value
Sheet: Database

[NAME] number | [NAME] name | Tools | Outer diameter | [NAME]. outer diameter
100112 | IC-B003 Mandrel-6'' For Steel Strip 72x1.8 | Mandrel
100113 | Mandrel-6'' For Steel Strip 72x1.8 Mandrel | Mandrel | 151.2 | 465
100114 | Internal Caliper Ø150.9 | Mandrel | 150.9
100115 | Mandrel-8'' | Mandrel | 201.6 | 455
100116 | Mandrel 10"  Steel  Strip 60X1.5 | Mandrel | 252 | 455
100117 | Mandrel 2" | Mandrel | 50.4 | 444
100118 | Mandrel 7.39'' Steel Strip 40 x 0.8 | Mandrel | 186.2 | 443
100119 | Mandrel 11.25" Steel Strip 48 x 1.2 | Mandrel | 283.4 | 446
100120 | Mandrel 3" | Mandrel | 75.6 | 444
100121 | Mandrel [NAME] | Mandrel | 176.4 | 456
100122 | Mandrel 10.55 Inch | Mandrel | 265.9 | 445
100123 | Plate Mandrel | Mandrel
Spreadsheet: 108883d1305823394-if-function-divided-by-number-of-cell-entries-example
Sheet: Master

 |  | January
 |  | 1900-01-01 00:00:00 | 1900-01-02 00:00:00 | 1900-01-03 00:00:00 | 1900-01-04 00:00:00 | 1900-01-05 00:00:00 | 1900-01-06 00:00:00 | 1900-01-07 00:00:00 | 1900-01-08 00:00:00 | 1900-01-09 00:00:00 | 1900-01-10 00:00:00 | 1900-01-11 00:00:00 | 1900-01-12 00:00:00 | 1900-01-13 00:00:00 | 1900-01-14 00:00:00 | 1900-01-15 00:00:00 | 1900-01-16 00:00:00 | 1900-01-17 00:00:00 | 1900-01-18 00:00:00 | 1900-01-19 00:00:00 | 1900-01-20 00:00:00 | 1900-01-21 00:00:00 | 1900-01-22 00:00:00 |  | overheads rate | each jobs share of the overheads is this
 | Job A |  | 0.5 | 0.33 |  |  | 0.5 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 200
 | Job B |  |  | 0.33 |  |  | 0.5 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 200
 | Job C |  | 0.5 | 0.33 |  |  |  | 1 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 200
 | The information in D5:I7 is manually inserted here for demo purposes
 | what I need it to do is find if the job has been worked on, which this function does =IF(COUNTA('Job A'!D5:[NAME]), 1, "")
 | then, I need to apply the following function to the result of the COUNTA function =1/COUNT(D5:D7), and that correctly divide it up
 | If its possible to implement those 2 functions as one, you would get the results above
Spreadsheet: 99061d1297832105-help-using-lookup-for-multiple-positions-in-fantasy-baseball-draft-bb-dft2
Sheet: Team

 |  |  |  |  |  | Position | My Team
 |  |  |  |  |  | C
 |  |  |  |  |  | 1B
 |  |  |  |  |  | 2B
 |  |  |  |  |  | 3B
 |  |  |  |  |  | SS
 |  |  |  |  |  | OF
 |  |  |  |  |  | OF
 |  |  |  |  |  | OF
 |  |  |  |  |  | Util
 |  |  |  |  |  | Util
 |  |  |  |  |  | BN
 |  |  |  |  |  | BN
 |  |  |  |  |  | BN
 |  |  |  |  |  | BN
 |  |  |  |  |  | SP
 |  |  |  |  |  | SP
 |  |  |  |  |  | SP
 |  |  |  |  |  | SP
 |  |  |  |  |  | RP
 |  |  |  |  |  | RP
 |  |  |  |  |  | P
Spreadsheet: 852841d1702818842-how-to-adjust-the-dependent-drop-down-list-to-4-levels-of-multiple-words-per-cell-multi-row-drop-downs-access-analytic
Sheet: Drop Downs

 |  |  | [NAME] 1 |  |  | Drop Down 2: |  |  |  |  |  |  |  |  |  |  | Drop Down 3:
 |  |  |  |  |  | 1 |  | 2 |  | 3 |  | 4 |  | 5 |  |  | 1 |  | 2 |  | 3 |  |  |  | 1 |  | 2 |  | 3 |  | 4 |  |  |  | 1 |  | 2 |  | 3 |  | 1 |  | 2 |  |  | 1 |  | 2
 |  |  | tbl_dd1 |  |  | dd1_row1 |  | dd1_row2 |  | dd1_row3 |  | dd1_row4 |  | dd1_row5 |  |  | dd1_row1_dd2_row1 |  | dd1_row1_dd2_row2 |  | dd1_row1_dd2_row3 |  |  |  | dd1_row2_dd2_row1 |  | dd1_row2_dd2_row2 |  | dd1_row2_dd2_row3 |  | dd1_row2_dd2_row4 |  |  |  | dd1_row3_dd2_row1 |  | dd1_row3_dd2_row2 |  | dd1_row3_dd2_row3 |  | dd1_row4_dd2_row1 |  | dd1_row4_dd2_row2 |  |  | dd1_row5_dd2_row1 |  | dd1_row5_dd2_row2
 |  |  | List |  |  | List |  | List |  | List |  | List |  | List |  |  | List |  | List |  | List |  |  |  | List |  | List |  | List |  | List |  |  |  | List |  | List |  | List |  | List |  | List |  |  | List |  | List
 |  |  | Coffee |  |  | Espresso |  | Early Grey |  | Water |  | Apple |  | A11 |  |  | [NAME] |  | Filter - 200g |  | [NAME] |  |  |  | Early Grey - Premium |  | EB Round |  | IB Round |  | Lemon |  |  |  | Still |  | Coke - Zero |  | Beer |  | Apple Pulp |  | Orange Pulp |  |  | A11-1 |  | A12-1
 |  |  | Tea |  |  | Filter |  | English Breakfast |  | Cola |  | Orange |  | A12 |  |  | Doppio |  | Filter - 400g |  | [NAME] |  |  |  | Early Grey - Standard |  | EB Pyramids |  | IB Pyramids |  | Mint |  |  |  | Sparkling - San PG |  | Coke - Diet |  | Wine |  | Apple No Pulp |  | Orange No Pulp |  |  | A11-2 |  | A12-2
 |  |  | Bottle / Can |  |  | Pods |  | Irish Breakfast |  | Alcohol |  |  |  |  |  |  | [NAME] |  | Filter - Decaf |  |  |  |  |  |  |  | EB 200g |  | IB Decaf |  | Green |  |  |  | Sparkling -Ty Nant |  | Pepsi - Max |  | Spirits
 |  |  | Juice |  |  |  |  | Herbal |  |  |  |  |  |  |  |  | Cappucino |  |  |  |  |  |  |  |  |  | EB 500g |  |  |  |  |  |  |  |  |  | Pepsi - Decaf
 |  |  | A1 |  |  |  |  |  |  |  |  |  |  |  |  |  | Latte
Spreadsheet: 715627d1611800448-randomizing-employee-list-with-pairings-without-future-duplicates-example-excel-sheet
Sheet: Directory

SPECIFIC RANK | First Name | RAND | RANK
1 | KELLEY ELISA
2 | [NAME]
3 | [NAME]
4 | [NAME]
5 | [NAME]
6 | Shannon
7 | [NAME]
8 | Caley
9 | [NAME]
10 | Erin
11 | [NAME]
12 | Ella
13 | [NAME]
14 | [NAME]
15 | Kimberly
16 | [NAME]
17 | Lilbet
18 | [NAME]
19 | Lidia
20 | Tylea
21 | [NAME]
22 | Eunice
23 | ANNA FAITH
24 | [NAME]
25 | Vas
26 | America
27 | [NAME]
28 | [NAME]
29 | [NAME]
30 | Christian
31 | Anne
32 | Whitnee
33 | Amanda
34 | Liv
35 | Robyn
36 | Kelly
37 | [NAME]
38 | [NAME]
39 | [NAME]
40 | [NAME]
41 | [NAME]
42 | Hope
43 | SUSANA
44 | [NAME]
45 | MIA
46 | Kathy
47 | [NAME]
48 | NICHOLAS
49 | Angie
50 | [NAME]
51 | Michelle
52 | [NAME]
53 | KAILA
54 | [NAME]
55 | [NAME]
56 | SERENA
57 | AINSLEY B
58 | Victoria
59 | [NAME]
60 | Charlene
61 | [NAME]
62 | Maria
63 | DECLAN
64 | [NAME]
65 | [NAME]
66 | [NAME]
67 | [NAME]
68 | [NAME]
69 | Tara
70 | [NAME]
71 | [NAME]
72 | [NAME]
73 | Brittany
74 | [NAME]
75 | KELLY
76 | [NAME]
77 | Heather
78 | Bobbi Jo
79 | [NAME]
80 | Karin
81 | Maria
82 | Amber
83 | Raeannion
84 | [NAME]
85 | Sophie
86 | [NAME]
87 | [NAME]
88 | [NAME]
89 | ROMA
90 | Adam
91 | DENA RENEE
92 | [NAME]
93 | [NAME]
94 | Madeline
95 | [NAME]
96 | [NAME]
97 | Lauren
98 | Deanna
99 | Payton
100 | [NAME]
101 | [NAME]
102 | Madaline
103 | Nicole
104 | [NAME]
105 | Ellen
106 | Michelle
Spreadsheet: 852235d1702322412-weighted-average-rent-per-square-foot-for-plaza-if-lease-started-after-a-certain-date-working-rent-roll
Sheet: Commercial OS

 |  | 2020 | Categorization |  | [NAME] | 2020
 |  | 2020-12-31 00:00:00 |  |  |  | 2020-12-31 00:00:00
 |  |  |  |  | Income:
 |  |  |  |  | Rents in Place
 |  |  |  |  | Stabilized Rent Adjustments | NAP
 |  |  |  |  | Vacant Space at Market Rent | NAP
 |  |  |  |  | Tenant Recoveries in place
 |  |  |  |  | Tenant Recoveries Vacant Space | NAP
 |  |  |  |  | Admin & Signage
 |  |  |  |  | Other Income
 |  |  |  |  | Potential Gross Income
 |  |  |  |  | Vacancy Rate | NAP
 |  |  |  |  | Less Vacancy Loss
 |  |  |  |  | Effective Gross Income
 |  |  |  |  | Expenses
 |  |  |  |  | Real Estate Taxes
 |  |  |  |  | Property Insurance
 |  |  |  |  | Utilities
 |  |  |  |  | Repairs and Maintenance
 |  |  |  |  | [NAME]
 |  |  |  |  | Management Fees
 |  |  |  |  | Payroll & Benefits
 |  |  |  |  | Advertising & Marketing
 |  |  |  |  | Professional Fees
 |  |  |  |  | General and Administrative
 |  |  |  |  | Tax Appeal
 |  |  |  |  | Mgmt Office
 |  |  |  |  | Ground Rent
 |  |  |  |  | Reserves
 |  |  |  |  | Total Operating Expenses
 |  |  |  |  | Net Operating Income
 |  |  |  |  | Excluded Income
 |  |  |  |  | Excluded Expense
 |  |  |  |  | Source
 |  |  |  |  | [NAME]
 |  |  |  |  | Excluded Income:
 |  |  |  |  | Straight Line Rent
 |  |  |  |  | Other Income, Amortization, [NAME]
 |  |  |  |  | CECRA Abatements - Base Rent & Rec
 |  |  |  |  | Excluded Expense:
 |  |  |  |  | Leasing Costs/NR G&A Leasing Fee/CECRA write-off
 |  |  |  |  | [NAME] for Doubtful Accounts
 |  |  |  |  | Admin Sundry/Non-Share Sundry/Amortization
 |  |  |  |  | Mortgage Principal and Interest
 |  |  |  |  | Depreciation
 | Source | 0 | Source
 | [NAME]
Spreadsheet: 005b6801-8580-4d96-b866-5fd00c9c0c81
Sheet: 8

 | Oct 19 |  | Oct 26 |  | Nov 2 |  | Nov 9
 | 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 Equities | 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 total, estimated swap dollar volumes by asset class and participant type (value of all trades in milliions of USD), all products and tenors, cleared and uncleared.
Estimates of weekly event volumes are derived from data published in the 2012 ISDA Operations Benchmarking Survey which defines an "event" as a new trade, confirmable amendment, partial or full termination, increase, decrease, or novation.
*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: drew_fossum__8992__Fixed3
Sheet: RMTC_2

[NAME]
FUEL HEDGING BOOK
Risk Management & Trading Corp._2
Prod. | Contract | Contract | Fixed |  | Fuel | Settled | Futures | (Gains) and Losses
Date | Number | Name | Price |  | Dth | Price | Price | Total | Realized | Unrealized
 |  |  |  |  |  | El Paso Prmn |  | (4) | (4) | (4)
2000-01-01 00:00:00 |  | RMTC | 2.365 |  |  | 2.19
2000-02-01 00:00:00 |  | RMTC | 2.365 |  |  | 2.41
2000-03-01 00:00:00 |  | RMTC | 2.365 |  |  | 2.41
2000-04-01 00:00:00 |  | RMTC | 2.365 |  |  | 2.79
2000-05-01 00:00:00 |  | RMTC | 2.365 |  |  | 2.87
2000-06-01 00:00:00 |  | RMTC | 2.365 |  |  | 4.1
2000-07-01 00:00:00 |  | RMTC | 2.365 |  |  | 4.35
2000-08-01 00:00:00 |  | RMTC | 2.365 |  |  | 3.77
2000-09-01 00:00:00 |  | RMTC | 2.365 |  |  |  | 4.5
2000-10-01 00:00:00 |  | RMTC | 2.365
2000-11-01 00:00:00 |  | RMTC | 2.365
2000-12-01 00:00:00 |  | RMTC | 2.365
 |  |  |  |  |  | TW Index
2000-01-01 00:00:00 |  | Over-retention | 2.365 |  |  | 2.26
2000-02-01 00:00:00 |  | Over-retention | 2.365 |  |  | 2.43
2000-03-01 00:00:00 |  | Over-retention | 2.365 |  |  | 2.64
2000-04-01 00:00:00 |  | Over-retention | 2.365 |  |  | 2.79
2000-05-01 00:00:00 |  | Over-retention | 2.365 |  |  | 3.31
2000-06-01 00:00:00 |  | Over-retention | 2.365 |  |  | 4.09
2000-07-01 00:00:00 |  | Over-retention | 2.365 |  |  | 3.85
2000-08-01 00:00:00 |  | Over-retention | 2.365 |  |  | 4
2000-09-01 00:00:00 |  | Over-retention | 2.365 |  |  |  | 4.64
2000-10-01 00:00:00 |  | Over-retention | 2.365
2000-11-01 00:00:00 |  | Over-retention | 2.365
2000-12-01 00:00:00 |  | Over-retention | 2.365
(4)Gain and [NAME] are a measurement of the effectiveness of meeting the stated hedge objective.
Spreadsheet: 122596d1317019956-total-marks-for-each-team-table-tennis
Sheet: Sheet1

 |  |  |  |  | Table tennis
 | Team | Match 1 |  |  | Match 2 |  |  | Match 3 |  |  | Match 4 |  |  | Marks
 |  | Set 1 | Set 2 | Set 3 | Set 1 | Set 2 | Set 3 | Set 1 | Set 2 | Set 3 | Set 1 | Set 2 | Set 3
 | A | 21 | 21 |  | 21 | 19 | 21 | 8 | 12 |  | 24 | 20 | 21 | 9
 | B | 12 | 18 |  | 9 | 21 | 17 | 21 | 21 |  | 22 | 22 | 19 | 3
 |  | Win 2 sets = win match = 3  marks
 |  | Loss 2 sets = loss match = 0  marks
 |  | How to calculate total marks for each team?
Spreadsheet: 678811d1590072513-how-to-search-2-columns-for-the-information-entered-in-one-column-samplefile
Sheet: supply

SCAN | [NAME] | PRICE EACH | QUANTITY | TOTAL COST | AREA/ UNIT | ITEM NO | CATALOG NO | DATE/TIME  STAMP
 |  |  |  |  |  |  |  | 2020-05-21 10:42:52