tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: daren_farmer__5376__hpl0721
Sheet: Sheet1

HPLN0721.XLS |  | Fax # [PHONE]
TO:  DARREN FARMER / ENRON;  CARY METZ / ENRON;  [NAME] / HPL;  AMI_CHOSKI / ENRON
FROM:  [NAME]  (TU ELECTRIC)
 |  |  |  |  |  | ** Friday
HPL AND ENRON NOMINATIONS: |  |  |  |  |  | 2000-07-21 00:00:00
 |  |  |  |  |  | Eff. 0900 hrs.
 |  |  |  |  | PRIOR | NOMINATED
CONTRACT |  | DELIVERY POINT |  | Upstream
Enron (FM) |  | LS HPL [NAME] |  | HPL
 |  |  |  |  | 0 to 60  0900hrs | 0 to 60  0900hrs
 |  |  |  |  | 60  to 0 2100hrs | 60  to 0 2100hrs
 |  | Firm Summary
Enron (S) |  | Texoma |  | ENA | 15 | 15
Enron (S) |  | Oasis Sealy |  | ENA | 30 | 0
Enron (S) |  | Oasis Turbine |  | ENA | 5 | 0
Enron (S) |  | Reklaw |  | ENA | 20 | 30
 |  | Enron North America Spot/3959
OTHER ENRON/HPL TRANSPORTS: |  |  |  | Downstream
Empire (Enron) |  | TOG 3 |  | Empire | 1.4 | 1.4
Empire (Enron) |  | [NAME]. |  | Empire | 8 | 8
Empire (Enron) |  | SANDHILLS |  | Empire | 3.6 | 3.6
Empire (Enron) |  | Sterling Plant |  | Empire | 5 | 5
 |  | 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: 272699d1382466153-reversing-rank-function-to-retrieve-large-to-small-in-order-reverse-rank-practice
Sheet: Enhanced Analysis

[NAME] |  | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2012 YTD | 2013 YTD | JAN | FEB | MAR | APR | MAY | 2008 JUN             JUL |  | AUG | SEP | OCT | NOV | DEC | JAN | FEB | MAR | APR | MAY | 2009 JUN             JUL |  | AUG | SEP | OCT | NOV | DEC | JAN | FEB | MAR | APR | MAY | 2010 JUN             JUL |  | AUG | SEP | OCT | NOV | DEC | JAN | FEB | MAR | APR | MAY | 2011 JUN             JUL |  | AUG | SEP | OCT | NOV | DEC | JAN | FEB | MAR | APR | MAY | 2012 JUN             JUL |  | AUG | SEP | OCT | NOV | DEC | JAN | FEB | MAR | APR | MAY | 2013 JUN             JUL |  | AUG | SEP | OCT | NOV | DEC | Q213 Ave | Q313 Ave | Q313 Over  Q213 ∆ $ | Q313 Over  Q213 ∆ %
 | Object 1
 |  | RANK |  | REVERSE RANK |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Q3 |  |  | Q4 |  |  | Q1 |  |  | Q2 |  |  | Q3 |  |  | Q4 |  |  | Q1 |  |  | Q2 |  |  | Q3 |  |  | Q4
 | Object 3
 |  | RANK |  | REVERSE RANK
 | Object 5
 |  | RANK |  | REVERSE RANK
 | Object 7
 |  | RANK |  | REVERSE RANK
 | Object 9
 |  | RANK |  | REVERSE RANK
 | Object 11
 |  | RANK |  | REVERSE RANK
 | Object 13
 |  | RANK |  | REVERSE RANK
 | Object 15
 |  | RANK |  | REVERSE RANK
 | Object 17
 |  | RANK |  | REVERSE RANK
 | Object 19
 |  | RANK |  | REVERSE RANK
 | Object 21
 |  | RANK |  | REVERSE RANK
 | Object 23
 |  | RANK |  | REVERSE RANK
 | Object 25
 |  | RANK |  | REVERSE RANK
 | Object 27
 |  | RANK |  | REVERSE RANK
 | Object 29
 |  | RANK |  | REVERSE RANK
 | Object 31
 |  | RANK |  | REVERSE RANK
 | Object 33
 |  | RANK |  | REVERSE RANK
 | Object 35
 |  | RANK |  | REVERSE RANK
 | Object 37
 |  | RANK |  | REVERSE RANK
 | Object 39
 |  | RANK |  | REVERSE RANK
 | Object 41
 |  | RANK |  | REVERSE RANK
 | Object 43
 |  | RANK |  | REVERSE RANK
 | Object 45
 |  | RANK |  | REVERSE RANK
 | Object 47
 |  | RANK |  | REVERSE RANK
 | Object 49
 |  | RANK |  | REVERSE RANK
 | Object 51
 |  | RANK |  | REVERSE RANK
 | Top 3 Largest Increases Y-Y | EXAMPLE:
 |  | Y-Y Increase | Y-Y % Change
 | Top 3 Largest Decreases Y-Y | Y-Y Increase | Y-Y % Change
Spreadsheet: 124780d1318605394-time-formula-breaks-with-multiple-ins-per-day-test1
Sheet: Raw

Employee Name | Date | Status | Time
[NAME] | 2011-10-12 00:00:00 | Absent
[NAME] | 2011-10-13 00:00:00 | Absent
[NAME] | 2011-10-14 00:00:00 | Absent
[NAME] | 2011-10-12 00:00:00 | IN | 07:03:00
[NAME] | 2011-10-12 00:00:00 | OUT | 12:29:00
[NAME] | 2011-10-12 00:00:00 | IN | 12:48:00
[NAME] | 2011-10-12 00:00:00 | OUT | 15:30:00
[NAME] | 2011-10-13 00:00:00 | IN | 06:48:00
[NAME] | 2011-10-13 00:00:00 | OUT | 12:05:00
[NAME] | 2011-10-13 00:00:00 | IN | 12:27:00
[NAME] | 2011-10-13 00:00:00 | OUT | 15:34:00
[NAME] | 2011-10-14 00:00:00 | IN | 06:54:00
[NAME] | 2011-10-12 00:00:00 | IN | 07:05:00
[NAME] | 2011-10-12 00:00:00 | OUT | 13:12:00
[NAME] | 2011-10-13 00:00:00 | IN | 06:57:00
[NAME] | 2011-10-13 00:00:00 | OUT | 15:40:00
[NAME] | 2011-10-14 00:00:00 | IN | 08:05:00
[NAME] | 2011-10-12 00:00:00 | IN | 07:04:00
[NAME] | 2011-10-12 00:00:00 | OUT | 16:15:00
[NAME] | 2011-10-13 00:00:00 | IN | 06:08:00
[NAME] | 2011-10-13 00:00:00 | OUT | 16:14:00
[NAME] | 2011-10-14 00:00:00 | IN | 05:52:00
[NAME] | 2011-10-12 00:00:00 | IN | 07:00:00
[NAME] | 2011-10-12 00:00:00 | OUT | 07:15:00
[NAME] | 2011-10-13 00:00:00 | IN | 07:00:00
[NAME] | 2011-10-13 00:00:00 | OUT | 16:00:00
[NAME] | 2011-10-14 00:00:00 | IN | 07:19:00
[NAME] | 2011-10-12 00:00:00 | IN | 07:00:00
[NAME] | 2011-10-12 00:00:00 | OUT | 16:16:00
[NAME] | 2011-10-13 00:00:00 | IN | 07:00:00
[NAME] | 2011-10-13 00:00:00 | OUT | 15:35:00
[NAME] | 2011-10-14 00:00:00 | IN | 07:00:00
[NAME] | 2011-10-12 00:00:00 | IN | 05:01:00
[NAME] | 2011-10-12 00:00:00 | OUT | 10:58:00
[NAME] | 2011-10-12 00:00:00 | IN | 12:05:00
[NAME] | 2011-10-12 00:00:00 | OUT | 14:06:00
[NAME] | 2011-10-13 00:00:00 | IN | 06:17:00
[NAME] | 2011-10-13 00:00:00 | OUT | 11:04:00
[NAME] | 2011-10-14 00:00:00 | IN | 07:03:00
[NAME] | 2011-10-12 00:00:00 | Absent
[NAME] | 2011-10-13 00:00:00 | Absent
[NAME] | 2011-10-14 00:00:00 | Absent
Spreadsheet: 297065d1392271372-convert-vertical-data-into-horizontal-for-reporting-with-drop-down-convert-vertical-data-into-horizontal
Sheet: Data

Customer Name | Cust Category | Product | [NAME] | Month | Year | Amt |  | Convert Vertical Data into Horizontal for Reporting with Drop Down
A | Dimond | 0001A | Top Product | Jan | 2013 | 80
B | Dimond | 0002B | Regular | Feb | 2013 | 70
C | Dimond | 0003C | Non Moving | Mar | 2013 | 60
D | Dimond | 0004D | Non Moving | Apr | 2013 | 50
E | Golden | 0005E | Non Moving | May | 2013 | 40
F | Golden | 0006F | Regular | Jun | 2013 | 44
G | Golden | 0007G | Top Product | Jul | 2013 | 45
H | Golden | 0008H | Top Product | Aug | 2013 | 46
I | Golden | 0009I | Regular | Sep | 2013 | 47
J | Silver | 00010J | Non Moving | Oct | 2013 | 10
K | Silver | 00011K | Non Moving | Nov | 2013 | 22
L | Silver | 00012L | Non Moving | Dec | 2013 | 13
M | Silver | 00013M | Top Product | Jan | 2013 | 46
N | platinum | 00014N | Top Product | Feb | 2013 | 50
O | platinum | 00015O | Regular | Mar | 2013 | 33
P | platinum | 00016P | Regular | Apr | 2013 | 32
Spreadsheet: 218813d1362586601-producing-a-table-of-monthly-values-based-on-a-monthly-growth-rate-and-yearly-total-example-for-mister-excel
Sheet: Example

Year | Amount |  | Month | Rate | Amount
2000 | 183 |  | 2000-01-01 00:00:00 |  | 10
 |  |  | 2000-02-01 00:00:00 | 0.02 | 12
 |  |  | 2000-03-01 00:00:00 | 0.04 | 14
 |  |  | 2000-04-01 00:00:00 | 0.06 | 16
 |  |  | 2000-05-01 00:00:00 | 0.07 | 17
 |  |  | 2000-06-01 00:00:00 | 0.04 | 14
 |  |  | 2000-07-01 00:00:00 | 0.03 | 13
 |  |  | 2000-08-01 00:00:00 | 0.06 | 16
 |  |  | 2000-09-01 00:00:00 | 0.06 | 16
 |  |  | 2000-10-01 00:00:00 | 0.06 | 16
 |  |  | 2000-11-01 00:00:00 | 0.09 | 19
 |  |  | 2000-12-01 00:00:00 | 0.1 | 20
Spreadsheet: 584147d1532993916-formula-to-change-colour-of-cell-instead-of-conditional-formatting-fbsexample1
Sheet: Sheet1

Scenario | Start Date | Activity 1 (workdays) | Activity 2  (workdays) | Activity 3 (workdays) | Activity 4 (workdays) | Activity 5 (workdays) | Estimated Finish Date | Updated Finish date |  |  |  | Activity 1 | Activity 2 | Activity 3 | Activity 4 | Activity 5 | Total Days
Scenario 2 |  |  |  |  |  |  |  |  |  |  | Scenario 1 | 2 | 2 | 2 | 3 | 5
Scenario 4 |  |  |  |  |  |  |  |  |  |  | Scenario 2 | 5 | 5 | 4 | 3 | 5
Scenario 1 |  |  |  |  |  |  |  |  |  |  | Scenario 3 | 10 | 15 | 5 | 5 | 5
Scenario 5 | 2018-07-29 00:00:00 | 30 | 10 | 8 | 5 | 10 |  |  |  |  | Scenario 4 | 15 | 15 | 8 | 5 | 10
Scenario 3 |  |  |  |  |  |  |  |  |  |  | Scenario 5 | 20 | 20 | 10 | 8 | 10
 | 1. Cell A2 determines the type of project scenario. Each scenario has 5 activities which take differing time periods (workdays) to carry out. Selected from drop down box.
 | 2. Start date (B2) is a hard number inputted by user.
 | 3. Expected finish date (H2) looks at the start date (B2) then vlookups the table (L1:R6) to calculate the estimated finish date based on the scenario selected.
 | 4. As each activity is completed (C2:G2) the number of workdays taken to complete is entered into the corresponding activity cell.
 | 5. If the time taken to complete the activity is longer than expected then the cell would be highlighted based on the following: 0-2 days cell color green, 3-5 days cell color orange, 6 days + cell color red. The time taken should take into consideration the start date and today's date as while activity 1 may go over time, activity 2 may take less time thereby bringing the project back on schedule with the estimated finish date. See example in Row 5 where activity 1 took longer than expected but activity 2 was under time bringing the project back on schedule with the balance (in italics and red yet to be carried out)
 | 6. Also when the number of days taken to complete each activity is inputted cell I2 is updated to reflect the change. A complication is that if only activity 1 has been completed and the other 4 activities have not commenced or completed then I would like the updated finish date to look at the values for each of the uncompleted activities timeframe in the vlookup table (L1:L6) and update the date. As each activity is completed then a number of days is entered and the finish date updated.
 | The intent is to track the status of the project against the estimated finish date as well as each of the activities highlighting not only is the project on time, behind time or at risk but also highlighting by color code (Green, amber, red) which activity is impacting the project
Spreadsheet: 92ba53eb-b591-491e-aa25-7fcf17187132
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7
 | Flare data
 | Flow x 10 scfm | Vac. | Methane concentration
2005-05-05 00:00:00 | 92.5 | 25.3 | 47.3 |  |  |  | Data trend
2005-06-06 00:00:00 | 95 | 25.6 | 45.4
2005-07-07 00:00:00 | 114 | 25.1 | 43.1
2005-08-05 00:00:00 | 82 | 19.7 | 43
2005-09-05 00:00:00 | 77 | 18 | 50.8
2005-10-08 00:00:00 | 68.4 | 18.8 | 44.9
2005-11-05 00:00:00 | 68.5 | 17.2 | 47.3
2005-12-08 00:00:00 | 82.4 | 17.4 | 45.8
2006-01-01 00:00:00 | 82.4 | 17.4 | 45.8
2006-02-08 00:00:00 | 77.8 | 18.1 | 46.1
2006-03-08 00:00:00 | 77.1 | 17.5 | 43
2006-04-08 00:00:00 | 72 | 17.5 | 45
2006-05-08 00:00:00 | 74.5 | 17.6 | 42.7
2006-06-06 00:00:00 | 78.1 | 17.6 | 37.1
2006-07-08 00:00:00 | 84.1 | 18.2 | 40.7
2006-08-08 00:00:00 | 82 | 17.8 | 45.4
2006-09-09 00:00:00 | 72.5 | 18.1 | 44
2006-10-08 00:00:00 | 82.6 | 17.9 | 44.5
2006-11-08 00:00:00 | 74.1 | 18.3 | 40
2006-12-08 00:00:00 | 93.9 | 26.3 | 47
2007-01-07 00:00:00 | 83.4 | 17.3 | 45
2007-02-08 00:00:00 | 77.4 | 19.5 | 49.1
2007-03-08 00:00:00 | 92 | 19.4 | 52.6
2007-04-08 00:00:00 | 94.9 | 19.6 | 48.6
2007-05-05 00:00:00 | 140.8 | 40.3 | 47.8
2007-06-05 00:00:00 | 144.3 | 36 | 45.8
2007-07-07 00:00:00 | 147.5 | 34.4 | 42.5
2007-08-07 00:00:00 | 152.7 | 33 | 42.4
2007-09-07 00:00:00 | 153.6 | 32.1 | 41.2
2007-10-08 00:00:00 | 153.8 | 37.3 | 38.5
Spreadsheet: 246651d1372474285-excel-mass-inventory-update-problem-existingtable
Sheet: Sheet1

UPC | Item Name | General Description | Item Description | Regular Price | Order Cost | Tax Code | Item Type | Department | Subdepartment | [NAME] | Qty 1
[PHONE] | Milk Thistle 50ml | Treat liver pain and liver disorders Milk [NAME] is used to treat liver, spleen and gall bladder disorders. This liver care remedy promotes liver and gall bladder health and relieves liver pain symptoms. A.Vogel Milk Thistle is traditionally used to treat: disorders of the liver, spleen and gall bladder hepatic, splenic or renal congestion gallstones hepatic pain and swelling. The formula is sugar-, gluten- and lactose-free.    A.Vogel’s Milk [NAME] extract is prepared with great care, only the fruit is used in the tincture. This tincture contains silybin, silydianin, silychristin, isosilybin, small quantities of silandrin, silymonin and silybinomere, flavonoids like quercetin and taxifolin, phytosterols like sitosterols, and mucilage. The German Commission E acknowledges its benefits in cases of: dyspeptic complaints; toxic liver damage; supportive treatment in chronic inflammatory liver disease and hepatic cirrhosis. | [NAME] | 15.946 | 11.39 | HST | Inventory | Supplements | Digestion | System | 0
[PHONE] | Bio-Strath 100 Tablets | 100% natural food and free from preservatives, colourings or any artificially produced substances.     Bio-Strath contains Bio-available [NAME]A daily dose of 3 x 2 tablets provides about 210 mg of beta-glucans! Bio-Strath Food Supplements are based on a nutritional yeast called Saccharomyces cerevisiae. This yeast has long been recognized for its immune system enhancing properties and for its rich source of natural B-vitamins.The plasmolysis process in effect stops the yeast’s ability to duplicate itself and as such any fears of Bio-Strath promoting yeast overgrowth in individuals suffering from Candida albican is negated. | [NAME] | 22.666 | 16.19 | HST | Inventory | Supplements | Vitamins/Minerals | System | 4
[PHONE] | [NAME].Coffe Subst.10 | Alternative to coffee     Ideal for people suffering from nervousness or sleeplessness.     Caffeine free     100% natural & organic  [NAME] is an entirely water soluble aromatic coffee substitute made from organically grown fruits and cereals.  It contains no coffee beans and is therefore caffeine free.  [NAME]can be enjoyed in the evening without risking sleeplessness. It is the ideal coffee substitute for people suffering from nervousness, high blood pressure or stomach problems.  It is also suitable for children and pregnant woman. | [NAME] | 9.702 | 6.93 | NT | Inventory | Food | Beverages | System | 5
[PHONE] | Vital Energy | Helps to relieve symptoms of mental fatigue due to stress.      Helps to support mental and physical stamina as well as cognitive function and mental focus.      Helps the body to metabolize carbohydrates,fats and proteins.      Sugar-, gluten- and lactose-free | [NAME] | 25.186 | 17.99 | HST | Inventory | Supplements | Women's Health | System | 2
Spreadsheet: 214716d1361080435-need-help-with-populating-worksheet-with-rows-from-other-sheet-based-on-criteria-2013-pinto-schedule
Sheet: Pirates

Field | Date | Day | Start Time | Away | AC | HC | Home |  | Code | Team | Away Games | Home Games | Total Games
 |  |  |  |  |  |  |  |  | 1 | A's
 |  |  |  |  |  |  |  |  | 2 | Cubs
 |  |  |  |  |  |  |  |  | 3 | Dodgers
 |  |  |  |  |  |  |  |  | 4 | Phillies
 |  |  |  |  |  |  |  |  | 6 | Tigers
 |  |  |  |  |  |  |  |  | 7 | Yankees
Spreadsheet: 216495d1361791741-possibly-an-if-then-formula-required-if-then-ans
Sheet: Sheet2

Week 1 |  | [NAME] result |  |  |  |  |  | This | is | what | I | need | to | get | to
 |  |  |  |  | [NAME] used |  |  | Week | 1 | Table
 |  |  |  |  | [NAME] can be dragged |  |  | A1 | B2 | [NAME] | D4 | E5
 |  |  |  |  |  |  |  | A4 | B5 | C6 | D7 | E8
 |  |  |  |  |  |  |  | F3 | G4 | H5 | I6 | J7
 |  |  |  |  |  |  |  | F4 | G5 | H6 | I7 | J8
 |  |  |  |  |  |  |  | K2 | L3 | M4 | N5 | O6
 |  |  |  |  |  |  |  | K3 | [NAME] | M5 | [NAME] | O7
 |  |  |  |  |  |  |  |  | 5
Spreadsheet: 93739d1293496268-commission-calculation-using-sumifs-book2
Sheet: New Hire 1

CONTRACT COMMISSIONS
New Hire 1 |  | NH1
2011
Class | Month |  | Client Billed | Invoice Date |  | Invoice # | [NAME] |  | Total GP / Hour | [NAME] % | # [NAME] | GP Earned
af | jan |  |  |  |  |  |  |  | 45 | 0.2 | 40
it | feb |  |  |  |  |  |  |  | 80 | 0.5 | 80
fs | [NAME] |  |  |  |  |  |  |  | 62 | 0.5 | 40
af | apr |  |  |  |  |  |  |  | 45 | 0.75 | 40
it | apr |  |  |  |  |  |  |  | 45 | 0.75 | 40
 |  |  | GP | Commission |  | GP | Commission |  | GP | Commission | YTD GP Earned By Class |  |  | YTD Commission Earned By Class
Month | Monthly Commission Rate |  | IT |  |  | AF |  |  | FS |  | IT | AF | FS | IT | AF | FS | YTD GP | YTD Commission
Dec | 0.3
Nov | 0.3
Oct | 0.3
Sep | 0.3
Aug | 0.3
Jul | 0.3
Jun | 0.3
May | 0.3
Apr | 0.3
Mar | 0.3
Feb | 0.3
Jan | 0.3
Total
 |  |  |  |  |  |  | Total GP - Check #
 |  |  |  |  |  |  | Tot YTD Comm - Check #
Spreadsheet: 786446d1657197046-moving-data-from-multiple-rows-into-single-row-multiple-columns-formula-help
Sheet: MAILMERGE

Name | Item 1 Name | Unit 1 Cost | Quantity Item 1 | Total Cost Item 1 | Item 2 Name | Unit 2 Cost | Quantity Item 2 | Total Cost Item 2 | Item 3 Name | Unit 3 Cost | Quantity Item 3 | Total Cost Item 3
Person A | Steak | 12 | 10 | 120 | Hamburger | 1.5 | 100 | 150 | Sausage | 0.75 | 1000 | 750
Person B
Person C
Person D
Person E
Person F
Spreadsheet: 757931d1638540105-merging-two-sets-of-data-into-one-output-test-file-1-
Sheet: Sheet1

Data 1 |  |  |  |  | Data 2 |  |  |  |  | Output
Part Number | Order No | Qty | PO Due |  | Part No | Job No | Qty | Job Due |  | Part No | Job No | Qty | Job Due | Order No | Qty | PO Due
ABC123 | 12444 | 100 | 2022-01-01 00:00:00 |  | ABC123 | 100 | 50 | 2022-01-15 00:00:00 |  | ABC123 | 100 | 50 | 2022-01-15 00:00:00 | 12444 | 100 | 2022-01-01 00:00:00
ABC123 | 12555 | 50 | 2022-02-01 00:00:00 |  | ABC123 | 101 | 50 | 2022-02-01 00:00:00 |  | ABC123 | 101 | 50 | 2022-02-01 00:00:00
ABC123 | 12666 | 50 | 2022-03-01 00:00:00 |  | ABC123 | 102 | 50 | 2022-02-15 00:00:00 |  | ABC123 | 102 | 50 | 2022-02-15 00:00:00 | 12555 | 50 | 2022-02-01 00:00:00
DEF456 | 11111 | 100 | 2021-12-01 00:00:00 |  | ABC123 | 103 | 50 | 2022-03-15 00:00:00 |  | ABC123 | 103 | 50 | 2022-03-15 00:00:00 | 12666 | 50 | 2022-03-01 00:00:00
DEF456 | 11222 | 100 | 2022-02-01 00:00:00 |  | DEF456 | 104 | 50 | 2021-12-15 00:00:00 |  | DEF456 | 104 | 50 | 2021-12-15 00:00:00 | 11111 | 100 | 2021-12-01 00:00:00
GHI789 | 33444 | 50 | 2022-03-01 00:00:00 |  | DEF456 | 105 | 50 | 2022-01-01 00:00:00 |  | DEF456 | 105 | 50 | 2022-01-01 00:00:00
 |  |  |  |  | DEF456 | 106 | 50 | 2022-02-15 00:00:00 |  | DEF456 | 106 | 50 | 2022-02-15 00:00:00 | 11222 | 100 | 2022-02-01 00:00:00
 |  |  |  |  | DEF456 | 107 | 50 | 2022-03-01 00:00:00 |  | DEF456 | 107 | 50 | 2022-03-01 00:00:00
 |  |  |  |  | GHI789 | 108 | 50 | 2022-03-15 00:00:00 |  | GHI789 | 108 | 50 | 2022-03-15 00:00:00 | 33444 | 50 | 2022-03-01 00:00:00
 |  |  |  |  | Part No | Job No | Qty | Job Due | Order No | Qty | PO Due
 |  |  |  |  | ABC123 | 100 | 50 | 2022-01-15 00:00:00
 |  |  |  |  | ABC123 | 101 | 50 | 2022-02-01 00:00:00
 |  |  |  |  | ABC123 | 102 | 50 | 2022-02-15 00:00:00
 |  |  |  |  | ABC123 | 103 | 50 | 2022-03-15 00:00:00
 |  |  |  |  | DEF456 | 104 | 50 | 2021-12-15 00:00:00
 |  |  |  |  | DEF456 | 105 | 50 | 2022-01-01 00:00:00
 |  |  |  |  | DEF456 | 106 | 50 | 2022-02-15 00:00:00
 |  |  |  |  | DEF456 | 107 | 50 | 2022-03-01 00:00:00
 |  |  |  |  | GHI789 | 108 | 50 | 2022-03-15 00:00:00
Spreadsheet: 744130d1628983185-weighted-percentile-of-large-dataset-percentile-of-weighted-data-set-sbnm-
Sheet: Sheet1

item number | fleet/weight | frequency | % of Total |  | Percentile | 0.9
1 | 30468 | 0.00023 |  |  | Value
6 | 45025 | 0.000466
5 | 40299 | 0.000521
3 | 35439 | 0.000536
4 | 37432 | 0.000642
2 | 33678 | 0.000832
Spreadsheet: tori_kuykendall__39964__mercaso bid
Sheet: Sheet1

Mercado  Gas Services
 |  |  |  | Need FF bid for San Juan for the term
Month | Month Qty | Daily Qty
2001-01-01 00:00:00 | 520000
2001-02-01 00:00:00 | 458000
2001-03-01 00:00:00 | 363000
2001-04-01 00:00:00 | 268000
2001-05-01 00:00:00 | 184000
2001-06-01 00:00:00 | 144000
2001-07-01 00:00:00 | 143000
2001-08-01 00:00:00 | 156000
2001-09-01 00:00:00 | 158000
2001-10-01 00:00:00 | 240000
2001-11-01 00:00:00 | 357000
2001-12-01 00:00:00 | 455000
2002-01-01 00:00:00 | 526000
2002-02-01 00:00:00 | 466000
2002-03-01 00:00:00 | 370000
2002-04-01 00:00:00 | 274000
2002-05-01 00:00:00 | 188000
2002-06-01 00:00:00 | 142000
2002-07-01 00:00:00 | 147000
2002-08-01 00:00:00 | 161000
Spreadsheet: 4397f6ab-b02a-4cdf-bc3b-ab92741d28bf
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
FHSTW | Test | FHSTW | Histamine, [NAME] | Histamine, [NAME] | Quantitative Enzyme-Linked Immunosorbent Assay |  |  |  |  |  | Collect blood in a green top tube (sodium or lithium heparin). Submit 1 mL well-mixed blood in a plastic screw cap tube frozen.    NOTE: 1. Critical frozen. Separate samples must be submitted when multiple tests are ordered.            2. Unacceptable: non-frozen samples | 0.5 mL | Hemolysis:	NA Thawing:	Warm reject; Cold reject Lipemia:	NA Icterus:	NA Other:	NA | 180 - 1800 nmol/L   Test Performed by: ARUP Laboratories                              500 [NAME]St. Lake City, UT 84108 | Monday, Thursday | 1 - 5 days | 3 - 11 days | 1 | 83088 |  |  |  |  | ARUP Laboratories
FHSTW | [NAME] | WBHEP | WB Heparin |  |  |  | Frozen | 180 days
FHSTW | Result | Z2753 | Histamine, [NAME] | Histamine, [NAME] | Alphanumeric |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46436-2 | Histamine:SCnc:Pt:[NAME]:Qn:
Spreadsheet: 93900d1293661016-excel-2007-clearing-a-row-after-a-particular-word-selected-cat-working-file
Sheet: 462WR

462WR
LAST QUARTERLY | QUARTERLY DUE NLT | NEXT QUARTERLY START | UPDATED BY: | LAST MASO | MASO DUE NLT | NEXT MASO START | UPDATED BY: | JACKET REVIEW | IMT 68     DATE | IMT 68 REVIEW
2010-12-01 00:00:00 |  |  | MF | 2010-05-01 00:00:00 |  |  | mf | 2010-12-01 00:00:00 | 2010-07-29 00:00:00 | 2010-09-08 00:00:00
JACKET REVIEW
NAME |  | DATE ACCOMPLISHED |  | COMMENTS / FINDINGS
Feeney |  | 2010-12-01 00:00:00
GENERAL ACCOUNT INFORMATION / NOTES
RETURN TO STATUS PAGE |  |  | INVENTORY STATUS PAGE
Spreadsheet: 822245d1679203397-array-like-formula-to-create-combinations-20230319sample
Sheet: Sheet1

Dep. Codes |  | Program Codes |  |  | Account Codes |  |  | entity codes |  | Division codes |  | Unit codes
2022 |  | 2022 |  |  | 2022
1 | 2 | 3 | 4 |  | 5 |  |  | 6 | 7 | 8 |  | 9 | 10 | 11 |  | 1,3,5,6,8,10 | 1,3,5,6,8,11 | 1,3,5,7,8,9 | 1,3,5,7,8,10 | 1,3,5,7,8,11 | 1,4,5,6,8,9 | 1,4,5,6,8,10 | 1,4,5,6,8,11 | 1,4,5,7,8,9 | 1,4,5,7,8,10 | 1,4,5,7,8,11 | 2,3,5,6,8,9 | 2,3,5,6,8,10 | 2,3,5,6,8,11 | 2,3,5,7,8,9 | 2,3,5,7,8,10 | 2,3,5,7,8,11 | 2,4,5,6,8,9 | 2,4,5,6,8,10 | 2,4,5,6,8,11 | 2,4,5,7,8,9 | 2,4,5,7,8,10 | 2,4,5,7,8,11
121 | 123 | 1206 |  |  |  |  |  |  |  |  |  |  |  |  |  | 123,1206
121 |  | 1206 |  |  | 5000 |  |  |  |  |  |  |  |  |  |  |  |  | ``
121 |  | 1206 |  |  | 5010
121 |  | 1206 |  |  | 5020
121 |  | 1206
121 |  | 1206
121 |  | 1210 |  |  | 5070
121 | 150 | 1206 |  |  | 5180 |  |  |  |  |  |  |  |  |  |  | 150,1206,5180
121 |  | 1206 |  |  | 5030
121 |  | 1206
121 |  | 1206
121 | 175 | 1206 | 1217 |  | 5090 |  |  |  |  |  |  |  |  |  |  | 121,1217,5090 | 175,1206,5090 | 175,1217,5090
121 |  | 1206 |  |  | 5110 | 5111 |  |  |  |  |  |  |  |  |  | 121,1206,5111
121 |  | 1206 |  |  | 5165
121 |  | 1206
121 |  | 1206 |  |  | 5130 | 5120 |  |  |  |  |  |  |  |  |  | 121,1206,5120
121 |  | 1206
Spreadsheet: 860589d1708622337-filter-on-one-worksheet-and-multiple-filter-function-and-filter-over-multiple-worksheets
Sheet: Sheet1

1 | Blue
2 | Blue
3 | Blue
4 | Blue
5 | Blue
6 | Blue
7 | Blue
8 | Blue
9 | Blue
10 | Blue
11 | Blue
12 | Blue
13 | Blue
14 | Blue
15 | Blue
16 | Blue
17 | Green
18 | Green
19 | Green
20 | Green
21 | Green
22 | Green
23 | Green
24 | Green
25 | Green
26 | Green