tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: michelle_lokay__26731__Jan02pymts
Sheet: Janinv

[NAME]
January transportation
Outstanding shipper invoices
[NAME] | Total Amt | MS Rep
BASS ENTERPRISES PRODUCTION COMPANY | 6975 | L Ward
CMS MKTG, SERVICES & TRADING CO | 349.44 | C McEvoy
Duke Energy Field Services |  | B Hernandez
Eastern New Mexico | 1625 | A Mulligan
KN PROCESSING, INC. | 20150 | L Giambrone | claims that check was sent on 2/15
MERCADO GAS SERVICES INC | 1490.07 | L Giambrone | claims that check was sent on 2/15
North Star Steele | 31122.43 | B Hernandez
SID RICHARDSON GASOLINE CO. | 488.5 | L Ward
SOUTHERN CALIFORNIA GAS COMPANY | 53130.73 | L Ward | rate dispute -
STATE OF TEXAS | 730.78 | L Ward
WASATCH ENERGY LLC | 1743.59 | C [NAME]
Total unpaid
Total invoiced(including PGE prepayment collected 1/26/02) | 12603726.95
Total paid
Percentage paid
Spreadsheet: 819780d1677688860-conditional-formatting-based-on-start-date-and-certain-parameters-example
Sheet: Sheet1

Name | Cost Centres | Start Date | Feb'22 31-28 | Mar'22 01-03 | Apr'22 04-01 | May'22 04-29 | Jun'22 30-3 | Jul'22 04-31 | Aug'22 01-28 | Sep'22 29-02 | Oct'22 03 - 30 | Nov'22 31 - 04 | Dec'22 05-01 | [NAME] | 12mth Total
EMPLOYEE 1 | ABC | 2019-09-09 00:00:00 | 20 | 24.99999999999999 | 19.99999999999999 | 19.99999999999999 | 24.99999999999999 | 19.99999999999999 | 19.99999999999999 | 24.99999999999999 | 19.99999999999999 | 5
EMPLOYEE 2 | ABC | 2019-11-25 00:00:00 |  |  |  | 5 | 25 | 20 | 19.99999999999999 | 2 |  | 0.75 |  | 2
EMPLOYEE 3 | ABC | 2015-05-11 00:00:00 |  |  | 3 | 5 | 1 |  | 3 | 0.5 |  | 10 | 17.99999999999999 | 19.99999999999999
EMPLOYEE 4 | ABC | 2014-04-07 00:00:00 |  |  |  |  | 3 | 10 | 5.999999999999999 | 8 |  |  | 13 | 1
EMPLOYEE 5 | ABC | 2022-07-11 00:00:00 |  |  |  |  |  |  | 5.062499999999999 |  | 1 | 11 | 5 | 15
EMPLOYEE 6 | ABC | 2021-06-14 00:00:00 | 9 |  |  | 5 | 5 | 4.499999999999999 |  |  | 4.25 | 4 |  | 3.8125
EMPLOYEE 7 | ABC | 2021-10-25 00:00:00 | 15 |  | 14 | 5
EMPLOYEE 8 | ABC | 2004-02-02 00:00:00 |  |  | 12 | 5 | 15
EMPLOYEE 9 | ABC | 2021-03-08 00:00:00 |  | 2 |  | 13 | 15 |  |  |  | 1 |  | 1
EMPLOYEE 10 | ABC | 2021-03-01 00:00:00 | 2 |  | 5.999999999999999 |  |  |  | 2 |  |  | 5 |  | 16
EMPLOYEE 11 | ABC | 2015-08-03 00:00:00 |  | 24.99999999999999 |  |  |  |  |  |  |  | 2
EMPLOYEE 12 | ABC | 2021-03-29 00:00:00 | 1 | 3.3125 |  | 1 | 1 |  | 1.5 | 0.75 | 6.5 | 7.5 | 2.375 | 1
EMPLOYEE 13 | ABC | 2023-01-03 00:00:00 |  | 3 | 17.99999999999999 | 4.1875
EMPLOYEE 14 | ABC | 2022-08-22 00:00:00 |  |  |  |  |  |  |  |  |  |  | 9 | 15.5
EMPLOYEE 15 | ABC | 2004-08-09 00:00:00 |  | 5 |  | 3 | 2 |  |  | 4 | 5 | 3 | 2
EMPLOYEE 16 | ABC | 2022-02-07 00:00:00 |  |  |  |  |  |  |  |  | 3.125 | 11 | 8
EMPLOYEE 17 | ABC | 2021-06-14 00:00:00 |  |  |  | 1 |  | 3 | 15 |  |  | 0.5 |  | 1.75
EMPLOYEE 18 | ABC | 2016-08-30 00:00:00 | 11.36 | 4.1875 | 5.375
EMPLOYEE 19 | ABC | 2022-04-11 00:00:00 |  |  | 2 |  |  |  |  | 2.3125 | 1 | 5.9375 |  | 7.625
EMPLOYEE 20 | ABC | 2003-02-10 00:00:00 |  | 14.75 |  |  | 0.5 | 0.5 | 1.5 | 1.5
Spreadsheet: 118566d1313760156-excel-2007-how-do-i-remove-empty-cells-in-a-range-team-creator-v3
Sheet: Player Skills

PLAYER | SKILLS
Spreadsheet: 154283d1336356717-timesheet-formula-book3
Sheet: Sheet1

 |  |  |  |  |  | FORTNIGHT ENDING: |  | 2012-05-07 00:00:00
EMPLOYEE TIME SHEET
DAY | DATE | JOB No. | START TIME | FINISH TIME | MEAL BREAKS | NORMAL TIME | TIME &  A HALF | DOUBLE TIME | MISC
Tuesday |  |  | 07:00:00 | 19:30:00
Wednesday |  |  | 07:00:00 | 19:30:00
Thursday |  |  | 07:00:00 | 19:30:00
Friday |  |  | 07:00:00 | 19:30:00
Saturday
Sunday
Monday |  |  | 07:00:00 | 19:30:00
Tuesday |  |  | 07:00:00 | 19:30:00
Wednesday |  |  | 07:00:00 | 19:30:00
Thursday |  |  | 07:00:00 | 19:30:00
Friday |  |  | 19:00:00 | 07:30:00 |  | 5 | 7.5
Saturday
Sunday
Monday
OFFICE USE ONLY
Ordinary Time: |  |  | TOTAL:
Spreadsheet: 90823d1290543198-how-to-average-using-vlookup-tender-register-v4-0-nov-2010
Sheet: Averages

Per Estimator |  | Estimator | Ave bid | ave winning tender | ave variance | % | ave finishing position
 |  | MAB | 99 | #N/A | #N/A | #N/A | #N/A
 |  | LH | 182138.8888888889 | #N/A | #N/A | #N/A | #N/A
 |  | KJL | 0 | #N/A | #N/A | #N/A | #N/A
 |  | JST | 0 | #N/A | #N/A | #N/A | #N/A
 |  | SP | 0 | #N/A | #N/A | #N/A | #N/A
 |  | MW | 0 | #N/A | #N/A | #N/A | #N/A
Per Client |  | Client | Ave bid | ave winning tender | ave variance | % | ave finishing position
 |  | Priory | #N/A | #N/A | #N/A | #N/A | #N/A
 |  | Craegmoor | #N/A | #N/A | #N/A | #N/A | #N/A
 |  | Oxfam | #N/A | #N/A | #N/A | #N/A | #N/A
 |  | EMC | #N/A | #N/A | #N/A | #N/A | #N/A
Spreadsheet: 794234d1661952701-vlookup-with-multiple-conditions-template-mock
Sheet: Shipping Information

 | Crating Dimensions |  |  |  |  |  |  | condition below checks for either 2 or 4 inch panel
 | Total Number of Panels
 | [NAME] (Including Steel Detail) | = | 123
 | [NAME]
 | Panel Thickness | = |  |  |  |  |  | condition below confirms v groove is with 2" panel
 | Total Panels | =
 | Total Panel Weight | = |  |  |  |  |  | condition below adjust panels qty in crate for V-grooves
 | Total Steel Detail | =
 | Total Steel Detail Weight | =
 | V-Groove ( Y or N) | = | N |  |  | FILL IN Y OR N |  | condition below = length less than 36 inches then two sections per row.
 | Shipping Information
 | Crate [NAME] | = | 42 | INCHES
 | Crate Height | = |  | INCHES |  |  |  | crate height criteria for stacking to high if less than 40"
 | Crate Length | = |  | INCHES
 | Crate Weight | = |  | LBS.
 | Total Weight | = |  | LBS. |  |  |  | 42" is the standard width (fits 18 standard thickness panels).
 | total panels in crate | = |  | PANELS
 | # of crates required | = |  | CRATES |  |  |  | condition to check that final crate height does not exceed 84"
 |  |  |  |  |  | 1
 |  |  |  |  |  | 1
 |  |  |  |  |  | 1
 |  |  |  |  |  | 1
 |  |  |  |  |  | 1
 |  |  |  |  |  | 1
 |  |  |  |  |  | 1
 |  |  |  |  |  | 1
 |  |  |  |  |  | 1
 |  |  |  |  |  | 1
 |  |  |  |  |  | 1
Spreadsheet: benjamin_rogers__1218__test model from Erin
Sheet: Tariff

DELMARVA, VA
Project Revenues
US $ 000s
Year
Months of Operation
Energy Production (Diesel):
Capacity Installed (MW)
Annual Dispatch
Operating Hours
Net Energy Available for Sale
REVENUES
MWh's Consumed
Cumulative Plant [NAME]
Fixed:
Contract Capacity
Capacity Pricing from Stratus ($[NAME])
Total Capacity Charges
VARIABLE:
July/August Options
Net Option Premium
MWhs/during month
Net Escalated Option Revenue
Spot Revenue
Spot Rate/MWh
MWh's [NAME]
Escalated Spot Revenue
Total Variable Charges
Tariff Summary
Spot Revenue with adjustment factor
Total cents/kWh
Average price years (1-10)
Average price years (11-15)
 |  | 435 | 735 | 683 | 705 | 670 | 595 | 636 | 674 | 669 | 658 | 653 | 644 | 662 | 650 | 658 | 640 | 647 | 643 | 644 | 622 | 616
 |  | 435.36 | 735.4 | 682.69 | 704.64 | 670.35 | 594.9 | 635.81 | 674.03 | 668.77 | 657.93 | 652.77 | 643.6 | 662.24 | 650.3 | 658.28 | 640.34 | 646.52 | 642.63 | 643.88 | 622.32 | 616.18
Spreadsheet: 97154d1296398377-selecting-and-summarising-random-repeats-sample
Sheet: Summary

[NAME] | Total | <30 | 30-60 | 60-90 | >90 |  | Sales | Qty | Total | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Jan | Feb | Mar
 | 0 | 0 | 0 | 0 | 0 |  |  | 46 | 13536.18 | 560 | 762.5 | 397.64 | 1469.64 | 308 | 2526 | 728.42 | 1518.42 | 3075.82 | 2189.74 | 0 | 0
 | 0 | 0 | 0 | 0 | 0
 | 0 | 0 | 0 | 0 | 0
 | 0 | 0 | 0 | 0 | 0
 | 0 | 0 | 0 | 0 | 0
 | 0 | 0 | 0 | 0 | 0
 | 0 | 0 | 0 | 0 | 0
 | 0 | 0 | 0 | 0 | 0
 | 0 | 0 | 0 | 0 | 0
 | 0 | 0 | 0 | 0 | 0
 | 0 | 0 | 0 | 0 | 0
 | 0 | 0 | 0 | 0 | 0
 | 0 | 0 | 0 | 0 | 0
 | 0 | 0 | 0 | 0 | 0
 | 0 | 0 | 0 | 0 | 0
 | 0 | 0 | 0 | 0 | 0
Total | 4001.16 | 1343.5 | 514.8199999999999 | 1013.42 | 1129
 | 0 | 0 | 0 | 0 | 0
No of customers | 46
Unpaid | ?
No of Invoices unpaid | #N/A
Spreadsheet: 81159d1281429852-excel-2007-stacked-bar-charts-showing-growth-with-data-label-book2
Sheet: Sheet1

 |  | q1 | q2 | q3 | q4 |  |  | q1 | q2 | q3 | q4
 | north | 151 | 159 | 163 | 173 |  | north
 | south | 175 | 179 | 186 | 190 |  | south
Spreadsheet: 751138d1633931186-year-to-date-sales-computation-assistance-request-ytd-2021-sales
Sheet: Sheet1

channeltype |  | January |  |  |  |  |  |  | February |  |  |  |  |  |  | March |  |  |  |  |  |  | April |  |  |  |  |  |  | May |  |  |  |  |  |  | June |  |  |  |  |  |  | July |  |  |  |  |  |  | August |  |  |  |  |  |  | September |  |  |  |  |  |  | October |  |  |  |  |  |  | November |  |  |  |  |  |  | December |  |  |  |  |  |  |  | YTD
 | nsales_dist | A2021 | T2021 | A2020 | A2019 | [NAME] | Grw 2021 vs 2020 % | Grw 2021 vs 2019 % | A2021 | T2021 | A2020 | A2019 | [NAME] | Grw 2021 vs 2020 % | Grw 2021 vs 2019 % | A2021 | T2021 | A2020 | A2019 | [NAME] | Grw 2021 vs 2020 % | Grw 2021 vs 2019 % | A2021 | T2021 | A2020 | A2019 | [NAME] | Grw 2021 vs 2020 % | Grw 2021 vs 2019 % | A2021 | T2021 | A2020 | A2019 | [NAME] | Grw 2021 vs 2020 % | Grw 2021 vs 2019 % | A2021 | T2021 | A2020 | A2019 | [NAME] | Grw 2021 vs 2020 % | Grw 2021 vs 2019 % | A2021 | T2021 | A2020 | A2019 | [NAME] | Grw 2021 vs 2020 % | Grw 2021 vs 2019 % | A2021 | T2021 | A2020 | A2019 | [NAME] | Grw 2021 vs 2020 % | Grw 2021 vs 2019 % | A2021 | T2021 | A2020 | A2019 | [NAME] | Grw 2021 vs 2020 % | Grw 2021 vs 2019 % | A2021 | T2021 | A2020 | A2019 | [NAME] | Grw 2021 vs 2020 % | Grw 2021 vs 2019 % | A2021 | T2021 | A2020 | A2019 | [NAME] | Grw 2021 vs 2020 % | Grw 2021 vs 2019 % | A2021 | T2021 | A2020 | A2019 | [NAME] | Grw 2021 vs 2020 % | Grw 2021 vs 2019 % |  | A2021 | T2021 | A2020 | A2019 | [NAME] | Grw 2021 vs 2020 % | Grw 2021 vs 2019 %
E-Commerce | ECOM | 301669.3 | 123456 | 45178.74 | 0 |  |  |  | 282812.6800000001 | 123456 | 78976.65 | 0 |  |  |  | 418663.86 | 123456 | 22310.5 | 0 |  |  |  |  | 123456 |  |  |  |  |  | 212569.51 | 123456 | 29659.75 | 0 |  |  |  | 284524.51 | 123456 | 254361.34 | 0 |  |  |  | 306306.85 | 123456 | 201183.92 | 0 |  |  |  | 293563.25 | 123456 | 246834.97 | 0 |  |  |  | 450596.47 | 123456 | 283983.34 | 0 |  |  |  | 0 | 123456 | 283139.85 | 7317 |  |  |  | 0 | 123456 | 259730.49 | 161138.4 |  |  |  | 0 | 123456 | 780767.1900000001 | 144500.1
E-Commerce Total | ECOM
Spreadsheet: 755626d1636997751-lookup-examples-from-arrays-lookup
Sheet: Sheet1

 |  | Example 1 |  |  |  |  |  | Example 2
 | Lookup |  | 4 | 8 |  |  | Lookup |  | 1 | 5
 |  | 1 | 5 | 9 |  |  |  |  | 2 | 6
 |  | 2 | 6 | 10 |  |  |  |  | 3 | 7
 |  | 3 | 7 | 11 |  |  |  |  | 4 | 8
 | Values |  | 2 | 9 |  |  | Values |  | 6 | 2
 |  | 6 | 3 | 5 |  |  |  |  | 8 | 5
 |  | 8 | 41 | 6 |  |  |  |  | 1 | 8
 |  | 7 | 3 | 1 |  |  |  |  | 20 | 3
 | Result | Lookup |  | Return |  |  | Result | Lookup |  | Return
 |  |  |  | 6 |  |  |  |  |  | 6
 |  | 2 |  | 8 | 8 |  |  | 2 |  | 8 | 8
 |  | 3 |  | 7 | 7 |  |  | 3 |  | 1 | 1
 |  | 4 |  | 2 | 2 |  |  | 4 |  | 20 | 20
 |  | 5 |  | 3 | 3 |  |  | 5 |  | 2 | 2
 |  | 6 |  | 41 | 41 |  |  | 6 |  | 5 | 5
 |  | 7 |  | 3 | 3 |  |  | 7 |  | 8 | 8
 |  | 8 |  | 9 | 9 |  |  | 8 |  | 3 | 3
 |  | 9 |  | 5 | 5
 |  | 10 |  | 6 | 6
 |  | 11 |  | 1 | 1
 |  |  |  | 6 |  |  |  |  |  | 6
 |  | 2 |  | 8 |  |  |  | 2 |  | 8
 |  | 3 |  | 7 |  |  |  | 3 |  | 1
 |  | 4 |  | 2 |  |  |  | 4 |  | 20
 |  | 5 |  | 3 |  |  |  | 5 |  | 2
 |  | 6 |  | 41 |  |  |  | 6 |  | 5
 |  | 7 |  | 3 |  |  |  | 7 |  | 8
 |  | 8 |  | 9 |  |  |  | 8 |  | 3
 |  | 9 |  | 5
 |  | 10 |  | 6
 |  | 11 |  | 1
Spreadsheet: 140619d1328821171-inventory-yfeb-food-total-values
Sheet: 2-1-12

 | Breakfast | Quantity | Measure | Food Item | Cost | Daily Points
 |  | 0.75 | cup | milk
 | Daily Total | 1 | cup | cheerios
 | Lunch | Quantity | Measure | Food Item | Cost | Daily Points
 |  | 1 | Slice | English Muffin
 |  | 3 | Sticks | Carrot
 | Dinner | Quantity | Measure | Food Items | Cost | Daily Points
 |  | 3 | Sticks | [NAME] | 0 | 12
Spreadsheet: 703122d1604765181-calculate-cumulative-sums-and-obtain-highest-value-based-on-it-example1935-gk
Sheet: Output

 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Selected year:
 | Cumulative highest volumes processed (All-Time) - By Month |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2020
 |  |  |  |  |  | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec |  | Highest
 | Data1 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | (c)
 | Agent: |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | (d)
 | Data2
 | Agent:
 | Year | 2020
 | Cumulative highest volumes processed (selected year)
 |  |  |  |  |  | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec
 | Data1
 | Agent:
 | Data2
 | Agent:
 | I have a total of 7 data fields.
 | For this example I will only display 2, and replicate for others myself
 | Examples on what the cells should show (from the source table, the row that has "TOTAL" is always ignored):
 | (a) the highest Data1 value, after calculating the sum of all Data1 values for each Agent, when the [Month] column has the phrase in I5 ("[NAME]")
 | (b) the name of the agent that achieved (a)
 | (c) the highest Data1 value, after calculating the sum of all Data1 values for each Agent
 | (d) the name of the agent that achieved (c)
 | (e) the highest Data1 value, when [Month] matches [[NAME]," ",G17)]
 | (f) the name of the agent that achieved (e)
 | (g) the highest Data1 value when the Jan+Feb+Mar+Apr+May values are added, for the selected year (W3)
 | (h) the name of the agent that achieved (g)
Spreadsheet: 81553d3b-9df2-4476-8ef3-83afce2c911a
Sheet: 2014-2015

2015-2016 Class Schedule |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | You may select up to three classroom attributes.  Select only course requirements, as the number of available classrooms will be reduced with each attribute selected.
[NAME]
Fall 2015
Subject | Course and Title | Subtitle/Alternate Title | Days | Times | Sec | Part of Term | Credits | Hamline Plan | Instructor(s) | Instructor ID | FT or Adj | [NAME] | Registration Approval Required? | [NAME] | Seats to be Saved | Saved Seats Type | Campus: [NAME], [NAME], Online, Blended |  |  |  | Cross list? SUBJ CRSE SEC | XLST total enrl | Areas of Study | Comments
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Classroom Attribute A | Classroom Attribute B | Classroom Attribute C
Spreadsheet: 166255d1341509161-help-with-my-fantasy-result-prediction-spreadsheet-it-cant-work-out-0-0-scorelines-srs-result-predictor
Sheet: 28

 | Game 1 |  |  |  | Game 2 |  |  |  | Game 3 |  |  |  | Game 4 |  |  |  | Game 5 |  |  |  | Game 6 |  |  |  | Game 7 |  |  |  | Game 8 |  |  |  | Game 9 |  |  |  | Game 10 |  |  |  | WEEK
Name | Predict |  | pts |  | Predict |  | pts |  | Predict |  | pts |  | Predict |  | pts |  | Predict |  | pts |  | Predict |  | pts |  | Predict |  | pts |  | Predict |  | pts |  | Predict |  | pts |  | Predict |  | pts |  | TOTAL
Spreadsheet: 1c238db8-173c-498c-9563-f4eb6bbf25d2
Sheet: 10c

Product1 | 0-34 | 3-6 | 6-12 | 12-24 | 24-60 | 60+ | TOTAL
Cross-Currency Basis | 1684633 | 730765 | 2591230 | 2242371 | 3660649 | 3692279 | 14601927
Cross-Currency Fixed-Fixed | 19996 | 15440 | 22243 | 46265 | 119683 | 197529 | 421156
Cross-Currency Fixed-Float | 160774 | 87422 | 181097 | 250856 | 386697 | 237212 | 1304057
TOTAL
Spreadsheet: andy_zipper__197__DYNEGY-ICE VOL May23
Sheet: ICE-ECC

Enron Canada Corporation
Activity on ICE
UOM | Deals | Volume
 |  |  |  |  |  |  | START | END
Enron Canada Corp.
Commodity Type:  All
Instruments:  All
Trade Dates:  May-23-01 thru May-23-01
Trade Date | Deal ID | Leg ID | B/S | Product | Hub | Strip | START | END | Option | Strike | Style | Counterparty | Price | Price Units | Qty Per Period | Periods | Total Quantity | Qty Units | Trader
Spreadsheet: mary_fischer__25822__Analysis of Changes
Sheet: M-Class Code 995

Enron Corp & Subs
2nd Current Estimate
M-Class Code 995
 |  | 2nd CE |  | 1st CE |  | Difference |  | Contact |  | Explanation
CE & Plan Reclasses |  | 0 |  | 0
Corp & Other* |  |  |  |  |  |  |  | [NAME] |  | @1CE, only 1Qtr of Valkyrie Pship Income Included; Decrease in Stock Option Adjustment
EBS |  | 697 |  | 580
ECM - Wholesale |  | 15363 |  | 12673
EE&CC |  | -153 |  | 358
EES** |  |  |  | 1023
EGA |  | -128 |  | 0
EGM |  | 272 |  | 1463
EGEP |  | 0 |  | -473
EIM |  | 0 |  | 4
Enron Americas |  | 5481 |  | -10367 |  |  |  | [NAME]
Enron Networks |  | 260 |  | 378
ETS |  | 4 |  | 215
Europe*** |  | 20001 |  | 5600 |  |  |  | [NAME]
PGE |  | 1345 |  | -434
Wholesale Other |  | 0 |  | 0
Grand Total
*For comparison purposes, includes EREC, Finance, Overview, & Clean Fuels
**For comparison purposes, includes EES-Retail & EES-Wholesale
***For comparison purposes, includes CATS/Margaux & Middle East
Spreadsheet: 375cd474-1499-4ae7-a52a-a0df5630eb7a
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Name | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9
 |  |  |  | Learner ID
 |  |  |  | School/College/University
Information and Technology: Programming and Software Development
Career Pathway Plan of Study for ►Learners ►Parents ►Counselors ►Teachers/Faculty
This Career Pathway Plan of Study (based on the Programming and Software Development Pathway of the Information Technology Career Cluster) can serve as a guide, along with other career planning
materials, as learners continue on a career path. Courses listed within this plan are only recommended coursework and should be individualized to meet each learner’s educational and career goals. *This Plan
of Study, used for learners at an educational institution, should be customized with course titles and appropriate high school graduation requirements as well as college entrance requirements.
EDUCATION | LEVELS | GRADE | [NAME] | Math | Science | Social Studies/ Sciences | Other Required Courses Other Electives Recommended       Electives                         Learner Activities | *Career and Technical Courses                    and/ or Degree Major Courses for         Programming and Software Development Pathway | SAMPLE                                   Occupations Relating                            to This Pathway
 |  | Interest Inventory Administered and Plan of Study Initiated for all Learners
[NAME] |  | 9 |  |  |  |  |  |  | ►Applications Analyst ►Applications Engineer ►Business Analyst ►Computer Engineer ►Data [NAME] ►Game Developer ►Operating System Designer/                     .   Engineer ►Program Manager ►Programmer ►Programmer Analyst ►Project Lead ►Software Applications Specialist ►Software Applications Tester ►Software Design Engineer ►Systems Administrator ►Systems Analyst ►Test Engineer ►Tester
 |  | 10
 |  | 11
 |  | College Placement Assessments-Academic/Career Advisement Provided
 |  | 12
 |  | Articulation/Dual Credit Transcripted-Postsecondary courses may be taken/moved to the secondary level for articulation/dual credit purposes.
POSTSECONDARY |  | Year 13
 |  | Year14
 |  | Year 15
 |  | Year 16
 |  |  |  |  |  | Project funded by the U.S. Department of Education (VO51B020001)
Spreadsheet: 02c0add0-d8bf-41c4-8aa4-a40d0e2b7c63
Sheet: Sheet1

10-042 Plumbing Services
 |  | United Mechanical |  | Hwcsystems
1 | Labor Charge for licensed Master [NAME] | 100 | 1st hour | 75
 | Labor Charge for licensed Master [NAME] | 75 | 2nd hour
2 | Overtime for Master [NAME] | 137.5 | 1st hour | 112.5
 | Overtime for Master [NAME] | 112.5 | 2nd hour
3 | Weekend for Master [NAME] | 137.5 | 1st hour | 112.5
 | Weekend for Master [NAME] | 112.5 | 2nd hour
4 | Holiday Charge for Master [NAME] | 175 | 1st hour | 150
 | Holiday Charge for Master [NAME] | 150 | 2nd hour
5 | Labor Charge for a Journeyman Plumber | 100 | 1st hour | 65
 | Labor Charge for a Journeyman Plumber | 75 | 2nd hour
6 | Overtime for a Journeyman Plumber | 137.5 | 1st hour | 97.5
 | Overtime for a Journeyman Plumber | 112.5 | 2nd hour
7 | Weekend for Journeyman Plumber | 137.5 | 1st hour | 97.5
 | Weekend for Journeyman Plumber | 112.5 | 2nd hour
8 | Holiday Charge for a Journeyman Plumber | 175 | 1st hour | 130
 | Holiday Charge for a Journeyman Plumber | 150 | 2nd hour
9 | Labor Charge for Plumbers Helper | 37.5 |  | 45
10 | Overtime for Plumbers Helper | 56.25 |  | 67.5
11 | Weekend for Plumbers Helper | 56.25 |  | 67.5
12 | Holiday Charge for Plumbers Helper | 75 |  | 67.5
13.              What is your normal response time? |  | 120 min |  | 240 min
14.              What is your emergency response time? |  | 120 min |  | 120 min
15 | Materials cost plus | 25 |  | 20
16 | Please list phone number for after hours, holiday and weekend. Emergency number # | [PHONE] & [PHONE] & [PHONE] |  | [PHONE] & [PHONE]
17 | What is your master license number?
18 | Who is your master license issued to?
19.              All other charges not listed (itemized) above.
a. | Sewer Machine | 45 |  | Rental equipment cost plus 10%
b. | Sink Machine | 35
c. | Top Snake | 25
d. | Sewer Camera | 75
 |  | 125
e. | Jet wash | 325
 |  | 375
Spreadsheet: 6bf162bb-1851-4ac2-a9ef-dc3117379cc7
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
RRBP | Test | RRBP | Retinol-Binding Protein, Random, [NAME] | Retinol-Binding Protein, Random, U | CTURA/24018: Enzymatic Colorimetric Assay RBPR/24016: Immunonephelometry | [NAME]: Urine |  |  | 5 | mL | Container/Tube: Plastic, 6-mL tube (Supply T465) [NAME]: 5 mL Collection Instructions: 1. Collect a random urine specimen. 2. No preservative. | 1 mL | Hemolysis	NA Thawing	Warm reject; Cold OK Lipemia	NA Icterus	NA Other	NA | <50 years: <130 mcg/[NAME] or =50 years: <172 mcg/[NAME] | Varies; 8 a.m.-4 p.m. | 7 days | 7 days | 1 | 83883 |  |  |  |  | Rochester
RRBP | [NAME] | URINE | [NAME] |  |  |  | Refrigerated | 7 days
RRBP | Component | CTURA | Creatinine Concentration, [NAME] | [NAME] | Only orderable as part of a profile. For further information see [NAME] [NAME]. | [NAME]: Urine |  |  | 5 | mL | Container/Tube: Plastic, 6-mL urine tube [NAME]: 5 mL Collection Instructions: 1. Collect a random urine specimen. 2. No preservative. Only orderable as part of a profile. For further information see [NAME] [NAME]. | 1 mL |  | Only orderable as part of a profile. For further information see [NAME] [NAME]. |  |  |  | 1 |  |  |  | Yes | Yes (order CTU)
CTURA | [NAME] | URINE | [NAME] |  |  |  | Refrigerated | 30 days
CTURA | Result | CTURA | [NAME] | [NAME] | Numeric |  |  |  |  | mg/dL |  |  |  |  |  |  |  |  |  | In Process
RRBP | Component | RBPR | Retinol-Binding Protein, Random, [NAME] | Retinol-Binding Protein, Random, U | Only orderable as part of a profile. For further information see [NAME] [NAME]. | [NAME]: Urine |  |  | 5 | mL | Only orderable as part of a profile. For further information see [NAME] [NAME]. |  |  | Only orderable as part of a profile. For further information see [NAME] [NAME]. |  |  |  | 1 | 83883 |  |  | Yes | No
RBPR | [NAME] | URINE | [NAME] |  |  |  | Refrigerated | 7 days
RBPR | Result | RBO1 | Retinol-Binding Protein, Random, U | Retinol-Binding Protein, Random, U | Numeric |  |  |  |  | mcg/L |  |  |  |  |  |  |  |  |  | 33782-4 | [NAME] binding protein:MCnc:Pt:[NAME]:Qn:
RBPR | Result | RBPCR | RBP/Creat Ratio | RBP/Creat Ratio | Numeric |  |  |  |  | mcg/g Cr |  |  |  |  |  |  |  |  |  | In Process
Spreadsheet: 724971d1616473530-auto-populate-of-attempts-and-score-data-for-a-user-rough
Sheet: All Data

User ID | Name | Exam | SCORE | %
ABC | Name1 | IELTS | 5 | 0.83 | Passed
ABC | Name1 | IELTS | 4 | 0.67 | Failed
ABC | Name1 | IELTS | 3 | 0.79 | Failed
DEF | [NAME] | IELTS | 6 | 1 | Passed
DEF | [NAME] | IELTS | 3 | 0.67 | Failed
JIK | Name3 | IELTS | 5 | 0.83 | Passed
JIK | Name3 | IELTS | 4 | 0.76 | Failed
ARH | Name4 | CAT | 6 | 1 | Passed
DEF | [NAME] | CAT | 5 | 0.83 | Passed
JIK | Name3 | CAT | 6 | 1 | Passed
HJK | Name5 | CAT | 6 | 1 | Passed
ABC | Name1 | CAT | 6 | 1 | Passed
JIK | Name3 | CAT | 3 | 0.45 | Failed
HJK | Name5 | CAT | 3 | 0.67 | Failed
ABC | Name1 | CAT | 2 | 0.78 | Failed
 |  |  |  |  |  |  | IELTS