tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 486072d1477313156-variable-weight-question-sample
Sheet: Sheet1

Rank | Company | Sector | Industy | Total | Event Attendance | Strong Connections | Average Connections | Weak Connections | Score | Giving | Lookup ID | Score | Related Philanthropy (Low range) | Score | Cause giving | Score
 | A | Retail | Apparel |  | Yes | 0 | 4 | 4 |  | 50000 | 8-46186792 |  | 352250 |  | Yes
 | B | Retail | - |  | No | 0 | 1 | 1 |  | 45102.08 | 8-19413117 |  | 763100 |  | Yes
 | C | Health Care | Pharmaceuticals, Biotech |  | No | 2 | 0 | 0 |  | 0 | 0 | 0 | 1223227 |  | Yes
 | D | Personal Products | - |  | No | 0 | 0 | 0 |  | 23006.28 | 8-46405084 |  | 400000 |  | Yes
 | E | Public sector, Plastics | - |  | No | 2 | 0 | 0 |  | 0 | 8-47129991 | 0 | 200000 |  | Yes
 | F | Consumer Durables | Apparel |  | Yes | 0 | 0 | 0 |  | 6060.95 | 8-19440261 |  | 737500 |  | Yes
 | G | Retail | Wellness & Skincare Products |  | No | 0 | 0 | 0 |  | 20000 | 8-46197870 |  | 5000 |  | Yes
 | H | Benefit Adminnistration | - |  | No | 0 | 0 | 0 |  | 30832.52 | 8-19407419 |  | 0 | 0 | Yes
 | I | Retail | Footwear |  | Yes | 1 | 0 | 1 |  | 45 | 8-19404945 |  | 28000 |  | Yes
 | J | Business & Consumer Services | Medical Products |  | Yes | 1 | 0 | 0 |  | 0 | 0 | 0 | 207500 |  | Yes
 | K | Energy | Oil & Gas |  | No | 0 | 0 | 1 |  | 125.54 | 8-46639118 |  | 135000 |  | Yes
 | L | Hospitality | Restaurants |  | No | 0 | 0 | 3 |  | 231.71 | 8-37931456 |  | 300 |  | Yes
 | M | Retail | Personal Products |  | No | 0 | 0 | 1 |  | 500 | 8-19466824 |  | 1050 |  | Yes
 | N | Retail | - |  | No | 0 | 0 | 0 |  | 0 | 0 | 0 | 570250 |  | Yes
 | O | - | Hospitals & Patient Services |  | No | 0 | 0 | 2 |  | 0 | 0 | 0 | 11501 |  | Yes
 | P | Retail | - |  | No | 0 | 0 | 0 |  | 11000 | 8-46347696 |  | 75000 |  | No
 | Q | Other | - |  | No | 0 | 0 | 0 |  | 0 | 8-48528649 | 0 | 300 |  | Yes
 | R | - | Textiles |  | Yes | 2 | 0 | 0 |  | 0 | 0 | 0 | 100 |  | No
 | S | Business & Consulting Services | - |  | No | 0 | 0 | 0 |  | 12241 | 8-46145049 |  | 0 | 0 | No
 | T | Technology | Computer Software |  | No | 0 | 2 | 1 |  | 0 | 0 | 0 | 0 | 0 | No
 | U | - | Textiles |  | Yes | 0 | 1 | 1 |  | 0 | 0 | 0 | 0 | 0 | No
 | V | Consumer Durables | Footwear |  | Yes | 0 | 0 | 1 |  | 0 | 0 | 0 | 0 | 0 | No
 | W | Basic Materials | Plastics & Synthetics |  | No | 0 | 0 | 1 |  | 0 | 0 | 0 | 0 | 0 | No
 | X | Retail | - |  | No | 0 | 0 | 0 |  | 0 | 0 | 0 | 0 | 0 | No
Notes and Methodology
Rankings are based on a consideration of the following variables: RelSci connections and St. Jude giving are worth up to 30% each while philanthropic giving to health-related organizations and donations to cancer-specifc organizations are worth up to 20% each.
Additional 2nd degree connections are available for the each of the above companies with RelSci profiles.
Spreadsheet: 167134d1341913368-comparing-and-mark-data-from-two-different-worksheet-prototaip
Sheet: Checklist

Checklist
Order | OpAc | Operation Description | Work ctr | ID Number | [NAME] date | FinExecut. | LPI | MPI | Visual | UT | Submission | Complete Submission | Remarks
112290809 | 2900 | CHECK HARDNESS *REVIEW* | QC-H | 00000000 | 2012-07-09 00:00:00 | 2012-07-09 00:00:00
112321376 | 2400 | CHECK HARDNESS*REVIEW* | QC-H | 00081362 | 2012-07-09 00:00:00 | 2012-07-10 00:00:00
112471897 | 0800 | ++HARDNESS CHECK | QC-H | 00084266 | 2012-07-09 00:00:00 | 2012-07-10 00:00:00
112471898 | 0800 | +HARDNESS CHECK | QC-H | 00084266 | 2012-07-09 00:00:00 | 2012-07-10 00:00:00
112471899 | 0800 | ++HARDNESS CHECK | QC-H | 00084266 | 2012-07-09 00:00:00 | 2012-07-10 00:00:00
112471900 | 0800 | +HARDNESS CHECK | QC-H | 00084266 | 2012-07-09 00:00:00 | 2012-07-10 00:00:00
112418150 | 0900 | +CHECK HARDNESS | QC-H | 00084382 | 2012-07-09 00:00:00 | 2012-07-10 00:00:00
112458869 | 0800 | +CHECK HARDNESS | QC-H | 00084382 | 2012-07-09 00:00:00 | 2012-07-10 00:00:00
111858791 | 1100 | +HARDNESS CHECK | QC-H | 00084383 | 2012-07-09 00:00:00 | 2012-07-09 00:00:00
112318928 | 3800 | +CHECK HARDNESS | QC-H | 00084383 | 2012-07-09 00:00:00 | 2012-07-09 00:00:00
112408947 | 0600 | +CHECK HARDNESS | QC-H | 00084383 | 2012-07-09 00:00:00 | 2012-07-10 00:00:00
112408968 | 0600 | +CHECK HARDNESS | QC-H | 00084383 | 2012-07-09 00:00:00 | 2012-07-10 00:00:00
112440296 | 0800 | ++PRE-WELD HARDNESS CHECK | QC-H | 00093110 | 2012-07-09 00:00:00 | 2012-07-09 00:00:00
112450719 | 0900 | ++PRE-WELD HARDNESS **MONITOR** | QC-H | 00093110 | 2012-07-09 00:00:00 | 2012-07-09 00:00:00
112450721 | 0900 | ++PRE-WELD HARDNESS **MONITOR** | QC-H | 00093110 | 2012-07-09 00:00:00 | 2012-07-09 00:00:00
112419492 | 2200 | ++CHECK HARDNESS*MONITOR* | QC-H | 00097486 | 2012-07-09 00:00:00 | 2012-07-09 00:00:00
Spreadsheet: 113823d1309706258-pull-column-from-one-sheet-to-another-affiliated-new-order-book
Sheet: Cookie Isle

Order | Item # | UPC # | Name | Cost | % |  | # of Items | SRP
0 | 20317 | 0-28498-00042 | BB MFFN Banana Nut I/W 9 CT | 11.64 | 0.46 |  | 9
0 | 20321 | 0-28498-00041 | BB [NAME] I/W 9 CT | 11.64 | 0.46 |  | 9
0 | 20323 | 0-28498-00045 | BB MFFN DBL Choc I/W 9 CT | 11.64 | 0.46 |  | 9
0 | 20329 | 0-28498-00049 | BB MFFN Straw/CRM I/W 9 CT | 11.64 | 0.46 |  | 9
0 | 58926 | 0-44000-00079 | NAB RITZ REDUCED FAT | 46.17 | 0.25 |  | 12
0 | 59122 | 0-72108-01012 | MOON PIE - VANILLA | 5.79 | 1.25 |  | 12
1 | 59120 | 0-72108-01002 | MOON PIE - CHOCOLATE | 5.79 | 1.25 |  | 12
0 | 59125 | 0-72108-20001 | MOON PIE - PECAN PIE | 7 | 0.87 |  | 12
1 | 59287 | 0-30100-19943 | KEEBLER SOFT BATCH CHOC CHIP | 6.21 | 1.1 |  | 12
0 | 58892 | 0-44000-00773 | NAB NUTTER BUTTER SNACK SAK | 26.2 | 0.25 |  | 12
0 | 59278 | 0-30100-19943 | KEEBLER FROSTED ANIMALS | 4.21 | 1.07 |  | 8
0 | 59123 | 0-30100-03012 | KEEBLER CLUB CRACKER - 12 ct/16 oz |  | 0.25 |  | 1
0 | 59441 | 0-24100-45544 | SUNSHINE CHEEZE-IT CRACKER - 6 oz/4.75 oz | 10.07 | 0.25 |  | 6
0 | 59230 | 0-24100-44072 | SUNSHINE CHEESE-IT CRACKER - 9 oz | 35.47 | 0.25 |  | 12
 |  |  | Nabisco Honey Maid 14.4 oz
 |  |  | Nabisco Ritz Crackers 12 oz
 |  |  | Nabisco Ritz Crackers 14.5 oz
 |  |  | Nabisco Orginal Premium Saltine Crackers 8 oz
 |  |  | Nabisco Orginal Premium Saltine Crackers 1 lb
 |  |  | Keebler Zesta Saltine Crackers Orginal 1 lb
 |  |  | Lil Dutch Maid Old Fashioned Ginger Snaps 16 oz
 |  |  | Lil Dutch Maid Vanilla Wafers 11 oz
 |  |  | Nabisco Fig Newtons 14 oz
 |  |  | Nabisco Nutter Butter 16 oz
 |  |  | Nabisco Oreo 16.6 oz
 |  |  | Keebler Fudge Shoppe Fudge Strips 11.5 oz
 |  |  | Cambells Condensed Soup Old Fashioned Vegetable 10.5 oz
 |  |  | Cambells Condensed Soup [NAME] 10.5 oz
 |  |  | Cambells Condensed Soup Cream of Chicken 10 3/4 oz
 |  |  | Cambells Condensed Soup Cream of Mushroom 10 3/4 oz
 |  |  | French's French Fried Onions Orginal 2.8 oz
 |  |  | The [NAME]'s Butterfield Shoestring Potato Sticks 48 g
 |  |  | Nabisco Barnum's Animal Crackers 2 1/8 oz
 |  |  | [NAME] 99% Fat Free 14.5 oz
 |  |  | Swanson 100% Natural [NAME]
Spreadsheet: 842837d1694810563-how-to-covert-a-matrix-to-a-list-in-columns-matrix-to-list-conversion
Sheet: List

ODI | OCI | OTI | UDI | UCI | TIMP | IPI | SSR | PLP | PIP | GOCI | Aerial
[NAME] | [NAME] | [NAME] | [NAME] | Jameson Trumble | [NAME] | Ren Stempey | [NAME] | [NAME] | [NAME] | [NAME] | [NAME]
[NAME] | Eddie Mart | [NAME] | Eddie Mart | [NAME] | [NAME] | [NAME] | Armando Army | [NAME] | [NAME] | [NAME] | [NAME]
[NAME] | [NAME] | [NAME] | [NAME] | Eddie Mart | Campbell Soup |  |  | [NAME] | [NAME] | [NAME] | [NAME]
[NAME] | [NAME] | Ren Stempey | [NAME] | [NAME] |  |  |  | [NAME] | [NAME] |  | Campbell Soup
Ren Stempey | [NAME] | [NAME] | [NAME] | [NAME] |  |  |  | [NAME] | [NAME]
[NAME] | Ren Stempey | Troy Aikman | [NAME] | [NAME] |  |  |  | [NAME] | [NAME]
Troy Aikman | [NAME] | [NAME] | [NAME] | Campbell Soup |  |  |  | [NAME] | [NAME]
[NAME] | Troy Aikman | [NAME] | Campbell Soup |  |  |  |  | [NAME] | [NAME]
[NAME] | [NAME] | [NAME] |  |  |  |  |  |  | [NAME]
[NAME] | [NAME] | Campbell Soup
[NAME] | [NAME]
[NAME] | [NAME]
[NAME] | Campbell Soup
[NAME] | [NAME]
Campbell Soup | [NAME]
[NAME] | Armando Army
Spreadsheet: 42a65859-b1ad-42aa-b15a-ddb002674af2
Sheet: Sheet1

Table 10--Global rice exporters, calendar years; monthly revisions, and annual changes | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11 | Unnamed: 12 | Unnamed: 13
 | 2012 |  |  |  | 2013 1/ |  |  |  |  |  | 2014 1/
 | March |  | February | March |  | Monthly | Annual |  | February | March |  | Monthly | Annual
 | 2014 |  | 2014 | 2014 |  | revisions | changes |  | 2014 | 2014 |  | revisions | changes
 |  |  |  |  |  |  | 1,000 metric tons (milled basis)
Argentina | 608 |  | 550 | 526 |  | -24 | -82 |  | 620 | 620 |  | 0 | 94
Australia | 449 |  | 500 | 460 |  | -40 | 11 |  | 520 | 500 |  | -20 | 40
Brazil | 1105 |  | 830 | 830 |  | 0 | -275 |  | 850 | 850 |  | 0 | 20
Burma | 1357 |  | 750 | 1163 |  | 413 | -194 |  | 750 | 1300 |  | 550 | 137
Cambodia | 800 |  | 975 | 975 |  | 0 | 175 |  | 1000 | 1000 |  | 0 | 25
China | 267 |  | 447 | 447 |  | 0 | 180 |  | 350 | 350 |  | 0 | -97
Ecuador | 63 |  | 50 | 50 |  | 0 | -13 |  | 75 | 75 |  | 0 | 25
Egypt | 600 |  | 850 | 850 |  | 0 | 250 |  | 850 | 850 |  | 0 | 0
European Union | 194 |  | 200 | 200 |  | 0 | 6 |  | 200 | 200 |  | 0 | 0
Guinea | 80 |  | 80 | 80 |  | 0 | 0 |  | 80 | 80 |  | 0 | 0
Guyana | 285 |  | 345 | 345 |  | 0 | 60 |  | 345 | 345 |  | 0 | 0
India | 10250 |  | 10500 | 10500 |  | 0 | 250 |  | 10000 | 10000 |  | 0 | -500
Japan | 200 |  | 200 | 200 |  | 0 | 0 |  | 200 | 200 |  | 0 | 0
Kazakhstan | 47 |  | 50 | 50 |  | 0 | 3 |  | 40 | 40 |  | 0 | -10
Pakistan | 3399 |  | 3500 | 3500 |  | 0 | 101 |  | 3400 | 3400 |  | 0 | -100
Paraguay | 262 |  | 275 | 275 |  | 0 | 13 |  | 250 | 250 |  | 0 | -25
Peru | 50 |  | 50 | 50 |  | 0 | 0 |  | 60 | 70 |  | 10 | 20
Russia | 314 |  | 140 | 140 |  | 0 | -174 |  | 140 | 140 |  | 0 | 0
Thailand | 6945 |  | 6700 | 6700 |  | 0 | -245 |  | 8500 | 8500 |  | 0 | 1800
Turkey | 99 |  | 10 | 10 |  | 0 | -89 |  | 60 | 60 |  | 0 | 50
Uganda | 40 |  | 40 | 40 |  | 0 | 0 |  | 40 | 40 |  | 0 | 0
United States | 3305 |  | 3271 | 3271 |  | 0 | -34 |  | 3350 | 3350 |  | 0 | 79
Uruguay | 1056 |  | 900 | 900 |  | 0 | -156 |  | 900 | 900 |  | 0 | 0
[NAME] | 125 |  | 100 | 100 |  | 0 | -25 |  | 100 | 100 |  | 0 | 0
Vietnam | 7717 |  | 6800 | 6800 |  | 0 | -917 |  | 7500 | 7500 |  | 0 | 700
Subtotal | 38957 |  | 38113 | 38462 |  | 349 | -495 |  | 40180 | 40720 |  | 540 | 2258
Other | 259 |  | 202 | 202 |  | 0 | -58 |  | 232 | 232 |  | 0 | 30
World total | 39828 |  | 38315 | 38664 |  | 349 | -1164 |  | 40412 | 40952 |  | 540 | 2288
U.S. Share | 0.084 |  | 0.08537126451781286 | 0.08460066211462859 |  | -- | -- |  | 0.08289616945461745 | 0.08180308654033991 |  | -0.001093082914277538 | --
-- Not available.  Note: All trade data are reported on a calendar-year basis.
1/ Projected.
Source: Production, Supply, & Distribution Online Data Base, FAS/USDA, http://www.fas.usda.gov/psdonline/psdHome.aspx.
Last updated March 10, 2014.
Spreadsheet: daren_farmer__5066__HPLN0512
Sheet: Sheet1

HPLN0512.XLS |  | Fax # [PHONE]
TO:  DARREN FARMER / ENRON;  CARY METZ / ENRON;  [NAME] / HPL;  LIZ BELLAMY / ENRON
FROM:  MELISSA JONES - TXU ELECTRIC & GAS  (TU ELECTRIC)
SUBJECT:  TXU FUELS NOMINATION - May 12, 2001
 |  |  |  |  |  | **Sat/Sun | **Monday
HPL AND ENRON NOMINATIONS: |  |  |  |  |  | 5/12-13/2001 | 2001-05-14 00:00:00
 |  |  |  |  |  | Eff. 0900 hrs. | Eff. 0900 hrs.
 |  |  |  |  | PRIOR | NOMINATED | NOMINATED
CONTRACT |  | DELIVERY POINT |  | Upstream
 |  | Firm Summary
Enron (S) |  | Oasis Turbine |  | Enron | 10 | 10 | 10
Enron (S) |  | Sandhills |  | Enron | 8 | 8 | 8
 |  | Enron North America Spot/3959
OTHER ENRON/HPL TRANSPORTS: |  |  |  | Downstream
 |  | Total Other Transports:
NOTE:  Additional swing volumes may be requested at Teco Tap, or Texoma by TUFCO Gas Control under either the
Wagner Brown K# 1901 or HPL K# 3949 agreements.
*  Nominations to continue until TU Electric changes such nominations.
CC:   [NAME] | [NAME]
R. Skerik | [NAME]
G. Green | K. English
B. Fleming | GCC Dispatcher
Spreadsheet: a401270f-3a75-41e8-b422-5bdfefcb1a11
Sheet: NJ

CC ID | Type | Plant | City | State | ID | CBI | Status | Desig | Handles CCW? | Electric Utility? | Special Waste Addition? | Latitude | Longitude | Lined* | Is Leachate Collected? | Distance from Nearest Surface Waterbody (Ft.) | Year Initially Brought Online Or Planned to be Brought Online | Inactive | Representative | Party | Congressional District ID
[NAME].LANDFILL-1 | Landfill | [NAME] | Jersey City | NJ | LANDFILL-1 | 0 | Active/Inactive/Open Landfills | Landfill 1 | YES | YES | NO | 38.666667 | -68.066667 | No | No | 1300 | 1964 | Yes
[NAME].[NAME] | Pond | [NAME] | Jersey City | NJ | [NAME] | 0 | Active/Inactive/Open Pond/Impoundment Units | North Pond | YES | YES | NO | 40.751806 | -74.075222 | No | No | 100 | 1964 | Yes | [NAME] | Democrat | 3409
[NAME].SPD-2 | Pond | [NAME] | Jersey City | NJ | SPD-2 | 0 | Active/Inactive/Open Pond/Impoundment Units | South Pond | YES | YES | NO | 0 | 0 | No | No | 100 | 1964 | Yes
[NAME].LANDFILL-1 | Landfill | [NAME] | Hamilton Township | NJ | LANDFILL-1 | 0 | Active/Inactive/Open Landfills | Landfill 1 | YES | YES | NO | 40.18225 | -74.716944 | No | No | 200 | 1961 | No | [NAME] | Republican | 3404
[NAME].[NAME] | Pond | [NAME] | Hamilton Township | NJ | [NAME] | 0 | Active/Inactive/Open Pond/Impoundment Units | South Pond | YES | YES | NO | 40.180361 | -74.729639 | No | No | 300 | 1960 | Yes | [NAME] | Republican | 3404
[NAME].SPD-2 | Pond | [NAME] | Hamilton Township | NJ | SPD-2 | 0 | Active/Inactive/Open Pond/Impoundment Units | North Pond | YES | YES | NO | 40.18225 | -74.717611 | No | No | 300 | 1960 | Yes | [NAME] | Republican | 3404
*Does not necessarily mean a composite liner
Spreadsheet: 126861d1320009272-vlookup-if-statement-and-indirect-combined-function-help-sample
Sheet: FullAppraisal

Ln # | FullAppraisal | Balance | LTV | BO LtV | Verification
456789 | 45000 | 24000 | 0.53 | 0.53 | ok-FullAppraisal
789123456 | 30125 | 10000 | 0.33 | 0.33 | ok-FullAppraisal
852369741 | 64000 | 44000 | 0.2 | 0.2 | ok-FullAppraisal
Spreadsheet: 2244fd01-8d6c-4325-aa77-cf14eeb5ea4f
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11
 | Time Series Workbook
 | 5625.0 Private New Capital Expenditure and Expected Expenditure, Australia
 | TABLE 6A. Actual and Expected Capital Expenditure by Asset - New South Wales:Current Prices $m
Related Information: | Summary Publication | Explanatory Notes | Inquiries
Data Item Description |  |  | Series Type | Series ID | Series Start | Series End | No. Obs. | Unit | Data Type | [NAME]. | Collection Month
Actual Expenditure ;  New South Wales ;  Total (Industry) ;  [NAME] and [NAME] ;  Current Price ; |  |  | Original | A3517402F | 1989-06-01 00:00:00 | 2009-12-01 00:00:00 | 83 | $ Millions | FLOW | Quarter | 3
Actual Expenditure ;  New South Wales ;  Total (Industry) ;  Equipment, Plant and Machinery ;  Current Price ; |  |  | Original | A3517444C | 1989-06-01 00:00:00 | 2009-12-01 00:00:00 | 83 | $ Millions | FLOW | Quarter | 3
Actual Expenditure ;  New South Wales ;  Total (Industry) ;  Total (Type of Asset - Detailed Level) ;  Current Price ; |  |  | Original | A3517486A | 1989-06-01 00:00:00 | 2009-12-01 00:00:00 | 83 | $ Millions | FLOW | Quarter | 3
Long Term Expected Expenditure ;  New South Wales ;  Total (Industry) ;  [NAME] and [NAME] ;  Current Price ; |  |  | Original | A3517404K | 1989-06-01 00:00:00 | 2009-12-01 00:00:00 | 83 | $ Millions | FLOW | Quarter | 3
Long Term Expected Expenditure ;  New South Wales ;  Total (Industry) ;  Equipment, Plant and Machinery ;  Current Price ; |  |  | Original | A3517446J | 1989-06-01 00:00:00 | 2009-12-01 00:00:00 | 83 | $ Millions | FLOW | Quarter | 3
Long Term Expected Expenditure ;  New South Wales ;  Total (Industry) ;  Total (Type of Asset - Detailed Level) ;  Current Price ; |  |  | Original | A3517488F | 1989-06-01 00:00:00 | 2009-12-01 00:00:00 | 83 | $ Millions | FLOW | Quarter | 3
Short Term Expected Expenditure ;  New South Wales ;  Total (Industry) ;  [NAME] and [NAME] ;  Current Price ; |  |  | Original | A3517403J | 1989-06-01 00:00:00 | 2009-12-01 00:00:00 | 83 | $ Millions | FLOW | Quarter | 3
Short Term Expected Expenditure ;  New South Wales ;  Total (Industry) ;  Equipment, Plant and Machinery ;  Current Price ; |  |  | Original | [NAME] | 1989-06-01 00:00:00 | 2009-12-01 00:00:00 | 83 | $ Millions | FLOW | Quarter | 3
Short Term Expected Expenditure ;  New South Wales ;  Total (Industry) ;  Total (Type of Asset - Detailed Level) ;  Current Price ; |  |  | Original | A3517487C | 1989-06-01 00:00:00 | 2009-12-01 00:00:00 | 83 | $ Millions | FLOW | Quarter | 3
© Commonwealth of Australia  2010
Spreadsheet: 873354d1719857155-how-do-i-back-calculate-a-matrix-matrix-question
Sheet: Sheet1

 | Matrix A |  | Matrix B |  |  |  |  | Matirix C
 | 0.1 |  | 5 | 2 | 2 | 3.5
 | 0.2 |  | 0.5 | 3 | 2.5 | 1.5 |  | 2
 | 0.3 |  | 4 | 0.5 | 3.5 | 1 |  | 1.95
 | 0.4 |  | 4 | 1 | 0.5 | 3 |  | 1.95
 |  |  | 3.5 | 5 | 0.5 | 4 |  | 3.1
 |  |  | 3.5 | 5.5 | 1.5 | 5.5 |  | 4.100000000000001
 |  |  | 4 | 0.5 | 4.5 | 0.5 |  | 2.05
 |  |  | MatrixC: | =MMULT(MatrixB,MatrixA)
 |  |  |  | =MMULT(D3:G9,B3:B6)
 |  |  | Given MatrixC and MatrixB - how do I get MatrixA?
Spreadsheet: 888636d1739208762-pulldown-list-expenses
Sheet: 2022

 | Variable Cost 2022 |  |  |  | Hydro |  | Fixed Costs 2022 |  |  |  | Projection Fixed Costs 2023
 | # | Months | CIBC | RBC | [NAME] |  |  |  | Mortgage |  |  |  | Mortgage
 | 1 | December | 5791.51 | 268.86 | 68.72 |  |  |  | Taxes |  |  |  | Taxes
 |  | January | 2201.33 | 205.6 | 53.63 |  |  |  | Condo Fees |  |  | 603.61 | Condo Fees
 |  | February | 3167.5 | 436.91 | 74.07 |  |  | 169.02 | NLSC |  |  | 169.02 | NLSC
 |  | March | 4708.47 | 233.52 | 65.91 |  |  |  | Hydro (average) |  |  | 75 | Hydro (average)
 |  | April | 1890.8 | 411.06 | 76.58 |  | Monthly |  |  |  | Monthly
 |  | May | 2764.25 | 482.35 | 68.95 |  | Yearly |  |  |  | Yearly
 |  | June | 3966.97 | 336.88 | 74.63
 |  | July | 4806.85 | 183.7 | 72.5 |  |  | 4252.96 | Kids Education |  |  | 2129.27 | Kids Education
 |  | August | 3566.94 | 56.77 | 74.91 |  |  | 275.88 | Shan Life Insurance |  |  | 275.88 | Shan Life Insurance
 |  | September | 2732.73 | 405.57 | 81.82 |  |  | 229.9 | Ayaan Life insurance |  |  | 229.9 | Ayaan Life insurance
 |  | October | 4863.94 | 313.6 | 79.11 |  | Yearly |  |  |  | Yearly
 |  | November | 3434.48 | 287.61 | 74.46
 | Variable Cost
 | Average
 |  |  |  |  |  |  | Total |  |  |  | Total
 |  |  |  | Fixed Costs | Cash Spending
 |  |  |  |  | 5000 |  |  | Condo and Car Insurance added to CIBC one time yearly payment. 2022 Total: $1,995.84
 |  |  | 2021 Total Expenditure
 |  |  | 2022 Total Expenditure
 |  |  | Diffrence:
 |  |  | 2022 Total Pay
 |  |  |  |  |  |  |  | Mortgage Payout
 |  |  | 2022 Montly Expenditure |  |  |  |  | 68480
 |  |  | 2022 Total Expenditure
Spreadsheet: 142465d1329849292-daily-average-min-and-max-for-certain-number-davg_dmin_dmax
Sheet: Sheet1

Heading 1 | Heading 2 | Heading 3 | Heading 4 | Heading 5 |  | Today's Date | 2012-02-20 00:00:00
2141325 | D96047R | 120 | 77 | 2012-02-01 13:58:18 |  | Enter a Number | 120
2139031 | D97035 | 110 | 67.3 | 2012-02-07 22:36:47
2139039 | D97035 | 110 | 67.1 | 2012-02-08 22:36:47 |  | DBase Criteria |  | Value Column
2141324 | D96047R | 120 | 77 | 2012-02-09 13:55:18
2139049 | D97035 | 110 | 68.1 | 2012-02-09 22:36:47
2141334 | D96047R | 120 | 77 | 2012-02-09 23:12:20 |  | Average
2139057 | D97035 | 110 | 68.2 | 2012-02-10 22:36:47 |  | MIN
2139092 | D97035 | 110 | 68.3 | 2012-02-14 22:36:47 |  | MAX
2141345 | D96047R | 120 | 77 | 2012-02-17 23:17:58
2141326 | D96047R | 120 | 77 | 2012-02-20 13:59:41
2141347 | D96047R | 120 | 70.89 | 2012-02-20 23:19:09 |  |  |  | Find average of column d for certain # in column c for today's date in column e
2141350 | D96047R | 120 | 76.01 | 2012-02-20 23:20:24 |  |  |  | Find minimum of column d for certain # in column c for today's date in column e
 |  |  |  |  |  |  |  | Find maximum of column d for certain # in column c for today's date in column e
Spreadsheet: 858817d1707346368-index-and-match-between-two-tables-to-retrieve-the-correct-information-sample
Sheet: Sheet1

National Holidays |  |  |  |  | School Holidays
Jurisdiction | Date | Holiday Name | Day |  | Jurisdiction | Date Formula | Day | Date for dropdown
VIC | 2024-01-01 00:00:00 | New Year's Day | Monday |  | VIC | 2024-01-01 00:00:00 | Monday
VIC | 2024-01-26 00:00:00 | Australia Day | Friday |  | VIC | 2024-01-02 00:00:00 | Tuesday
 |  |  |  |  | VIC | 2024-01-03 00:00:00 | Wednesday
 |  |  |  |  | VIC | 2024-01-04 00:00:00 | Thursday
 |  |  |  |  | VIC | 2024-01-05 00:00:00 | Friday
 |  |  |  |  | VIC | 2024-01-06 00:00:00 | Saturday
 |  |  |  |  | VIC | 2024-01-07 00:00:00 | Sunday
 |  |  |  |  | VIC | 2024-01-08 00:00:00 | Monday
 |  |  |  |  | VIC | 2024-01-09 00:00:00 | Tuesday
 |  |  |  |  | VIC | 2024-01-10 00:00:00 | Wednesday
 |  |  |  |  | VIC | 2024-01-11 00:00:00 | Thursday
 |  |  |  |  | VIC | 2024-01-12 00:00:00 | Friday
 |  |  |  |  | VIC | 2024-01-13 00:00:00 | Saturday
 |  |  |  |  | VIC | 2024-01-14 00:00:00 | Sunday
 |  |  |  |  | VIC | 2024-01-15 00:00:00 | Monday
 |  |  |  |  | VIC | 2024-01-16 00:00:00 | Tuesday
 |  |  |  |  | VIC | 2024-01-17 00:00:00 | Wednesday
 |  |  |  |  | VIC | 2024-01-18 00:00:00 | Thursday
 |  |  |  |  | VIC | 2024-01-19 00:00:00 | Friday
 |  |  |  |  | VIC | 2024-01-20 00:00:00 | Saturday
 |  |  |  |  | VIC | 2024-01-21 00:00:00 | Sunday
 |  |  |  |  | VIC | 2024-01-22 00:00:00 | Monday
 |  |  |  |  | VIC | 2024-01-23 00:00:00 | Tuesday
 |  |  |  |  | VIC | 2024-01-24 00:00:00 | Wednesday
 |  |  |  |  | VIC | 2024-01-25 00:00:00 | Thursday
 |  |  |  |  | VIC | 2024-01-26 00:00:00 | Friday
 |  |  |  |  | VIC | 2024-01-27 00:00:00 | Saturday
 |  |  |  |  | VIC | 2024-01-28 00:00:00 | Sunday
 |  |  |  |  | VIC | 2024-01-29 00:00:00 | Monday
 |  |  |  |  | VIC | 2024-03-29 00:00:00 | Friday
 |  |  |  |  | VIC | 2024-03-30 00:00:00 | Saturday
 |  |  |  |  | VIC | 2024-03-31 00:00:00 | Sunday
Spreadsheet: 759905d1639797544-remove-text-from-cell-extract-numbers
Sheet: Sheet1

This is what I have | this is what I need
Capacity - Level 2: Coordination Of Supports - 07_002_0106_8_3 | 07_002_0106_8_3
Capacity - Level 2: Coordination Of Supports - 07_002_0106_8_3 | 07_002_0106_8_3
Self-Management Capacity Building - 01_134_0117_8_1 | 01_134_0117_8_1
Capacity - Level 2: Coordination Of Supports - Non Face 2 Face - 07_002_0106_8_3 | 07_002_0106_8_3
Cap-Assessmt,Recommendation,Therapy /Or Train(Incl. AT)-O/ [NAME] Face2face-15_056_0128_1_3 | 15_056_0128_1_3
Cap-Continence aids: assess, recomm/train by [NAME] - 15_051_0114_1_3 | 15_051_0114_1_3
Cap-Continence aids: assess, rrecomm/train by [NAME] | 15_051_0114_1_3
Cap - Health Supports By A Clinical Nurse - Weekday Daytime Travel - 15_412_0114_1_3 | 15_412_0114_1_3
Cap-Assessmt,Recommendation,Therapy /Or Train(Incl. AT)-O/ [NAME] Face2face-15_056_0128_1_3 | 15_056_0128_1_3