tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 782299d1653972641-tally-sheet-tally-up-lti-mti-fac-rwc-by-company-to-tally-sheet-by-injury-category-by-com-injury-register-
Sheet: Master

INJURIES REGISTER - MASTER
Employee | Company | Gender M/F | Date of injury | Date resumed | LTI / RWC / FAC | W/Cover Y/N | Injury details (what & how?) | Injury type | Injury location (body part) | Investigation status | Findings & Controls
 | Gender |  |  | LTI |  |  | type |  | location
 | Male |  |  | RWC |  |  | abrasion |  |  | abdomen
 | Female |  |  | FAC |  |  | cut |  |  | arm / elbow
 |  |  |  | TOTAL |  |  | bruise |  |  | leg / knee
 |  |  |  |  |  |  | rash |  |  | foot / ankle
 |  |  |  |  |  |  | foreign body |  |  | hand / wrist
 |  |  |  |  |  |  | strain |  |  | back
 |  |  |  |  |  |  | dislocation |  |  | neck
 |  |  |  |  |  |  | fracture |  |  | eye
 |  |  |  |  |  |  | shock |  |  | head
 |  |  |  |  |  |  | burn |  |  | shoulder
 |  |  |  |  |  |  | other |  |  | finger
 |  |  |  |  |  |  |  |  |  | toe
Spreadsheet: 726679-days-between-2-dates-with-criteria-daysrank-using-pq
Sheet: Sheet1

EmployeeNumber | Date | rank | Days Between
413 | 2020-07-07 00:00:00 |  | -
413 | 2020-07-10 00:00:00 |  | 3
413 | 2020-07-13 00:00:00 |  | 3
413 | 2020-09-23 00:00:00 |  | 72
413 | 2020-12-09 00:00:00 |  | 77
413 | 2021-03-03 00:00:00 |  | 84
4261 | 2020-08-04 00:00:00
4261 | 2020-10-06 00:00:00
4261 | 2020-12-23 00:00:00
4261 | 2021-03-21 00:00:00
7787 | 2020-07-04 00:00:00
7787 | 2020-08-20 00:00:00
7787 | 2020-11-13 00:00:00
7787 | 2020-11-16 00:00:00
7787 | 2020-12-16 00:00:00
7787 | 2021-03-14 00:00:00
Spreadsheet: 60595d1261098170-count-duplicates-conditional-formating-highlight-count-duplicates
Sheet: Sheet1

 |  | 100 |  | 201
 |  | 101 |  | 101
 |  | 102 |  | 202
 |  | 103 |  | 203
 |  | 104 |  | 204
 |  | 105 |  | 105
 |  | 106 |  | 205
 |  | 107 |  | 206
 |  | 108 |  | 108
 |  | 109 |  | 109
 |  | 110 |  | 207
Duplicates
Spreadsheet: 121860d1316460342-using-index-match-and-sumif-together-excel-question
Sheet: Sheet2

 | Principal | Interest |  | Principal | Interest |  | Principal | Interest |  | Principal | Interest |  | Principal | Interest |  | Principal | Interest |  | Principal | Interest |  | Principal | Interest |  | Principal | Interest |  | Principal | Interest |  | Principal | Interest |  | Principal | Interest |  | Principal | Interest |  | Principal | Interest |  | Principal | Interest |  | Principal | Interest
 | 2009 | 2009 |  | 2010 | 2010 |  | 2011 | 2011 |  | 2012 | 2012 |  | 2013 | 2013 |  | 2014 | 2014 |  | 2015 | 2015 |  | 2016 | 2016 |  | 2017 | 2017 |  | 2018 | 2018 |  | 2019 | 2019 |  | 2020 | 2020 |  | 2021 | 2021 |  | 2022 | 2022 |  | 2023 | 2023 |  | 2024 | 2024
Building A | 10 | 50 |  | 20 | 40 |  | 30 | 30 |  | 40 | 20 |  | 50 | 10 |  | 40 | 20 |  | 30 | 30 |  | 20 | 40 |  | 10 | 50 |  | 20 | 40 |  | 30 | 30 |  | 40 | 20 |  | 50 | 10 |  | 40 | 20 |  | 30 | 30 |  | 20 | 40
Building B | 20 | 60 |  | 30 | 50 |  | 40 | 40 |  | 50 | 30 |  | 60 | 20 |  | 50 | 30 |  | 40 | 40 |  | 30 | 50 |  | 20 | 60 |  | 30 | 50 |  | 40 | 40 |  | 50 | 30 |  | 60 | 20 |  | 50 | 30 |  | 40 | 40 |  | 30 | 50
Building C | 30 | 70 |  | 40 | 60 |  | 50 | 50 |  | 60 | 40 |  | 70 | 30 |  | 60 | 40 |  | 50 | 50 |  | 40 | 60 |  | 30 | 70 |  | 40 | 60 |  | 50 | 50 |  | 60 | 40 |  | 70 | 30 |  | 60 | 40 |  | 50 | 50 |  | 40 | 60
Building D | 40 | 80 |  | 50 | 70 |  | 60 | 60 |  | 70 | 50 |  | 80 | 40 |  | 70 | 50 |  | 60 | 60 |  | 50 | 70 |  | 40 | 80 |  | 50 | 70 |  | 60 | 60 |  | 70 | 50 |  | 80 | 40 |  | 70 | 50 |  | 60 | 60 |  | 50 | 70
Building E | 50 | 90 |  | 60 | 80 |  | 70 | 70 |  | 80 | 60 |  | 90 | 50 |  | 80 | 60 |  | 70 | 70 |  | 60 | 80 |  | 50 | 90 |  | 60 | 80 |  | 70 | 70 |  | 80 | 60 |  | 90 | 50 |  | 80 | 60 |  | 70 | 70 |  | 60 | 80
Spreadsheet: 726735d1617390874-convert-text-days-hours-minutes-to-total-hours-019-get-day-hour-minute-second-from-text
Sheet: Get HMS (2)

2. Use MID to get number for Days, Hours, Minutes, Seconds |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | i |  |  | ard
2. ใช้ MID เพื่อเอาตัวเลขจาก Days, Hours, Minutes, Seconds
Data | D | H | M | Se | D | H | M | Se | D | H | M | Se
2 Days 2 Hours 3 Minutes 40 Seconds
1 Day 20 Hours 5 Minutes
1 Hour 5 Minutes
10 hours 1 seconds
25 Minutes 50 seconds
2 Days 5 seconds
10 Days
 | B5 =MID($A5,SEARCH(B$4,$A5&"dhmse")-3,2)
 | Use Mid to get Number for each word |  |  |  |  |  | J5 =TEXT(MID(0&$A5,SEARCH(J$4,0&$A5&"dhmse")-3,2),"0;;;\0")
 | -3 from 2 digit number and 1 " " space after number |  |  |  |  |  | Use Text custom format "0;;;\0"  \0 for change Text to 0
 | 2 number of char for 2 digit number |  |  |  |  |  | ใช้ Text fomat แบบ "0;;;\0"  \0 สำหรับเปลี่ยนข้อความให้เป็น 0
 | Error #[NAME]! in B5,B6, B10 because only have 1 digit number
 | ใช้ Mid เพื่อดึงเลขจากคำออกมาโดยที่
 | -3 มาจากเลข2หลักและ 1ช่องว่างก่อนคำที่หา
 | 2 ตัวท้ายจากเลข 2 หลัก
 | #[NAME]! ใน B5, [NAME], B10 เกิดจากเลขมีแค่1หลัก
 |  |  |  | D5 =MID(0&$A5,SEARCH(F$4,0&$A5&"dhmse")-3,2)
 |  |  |  | Add 0 before Data to make 1st number has 2 digit to avoid error
 |  |  |  | เติม 0 หน้าข้อมูลเพื่อให้เลขตัวแรกมีสองหลักจะไม่เกิด error
Spreadsheet: 92770d1292329046-formatting-bug-in-2010-strange-error
Sheet: Sheet1

 |  | Count | 9
 |  |  | 1 |  | 70000
 |  |  | 2 |  | 30000
 |  |  | 3 |  | 28000
 |  |  | 4 |  | 12000
 |  |  | 5 |  | 40000
 |  | Breakdown |  | Heading 1 | Heading 2 | Heading 3
 |  | A
 |  | B
 |  | C
 |  | D
 |  | E
 |  | F
 |  | G
 |  | H
 |  | Total
Spreadsheet: 449101d1457014803-breaks-lunch-counter-breakscounter
Sheet: Sheet1

Interval | Break | Lunch
00:00:00
00:30:00
01:00:00
01:30:00
02:00:00
02:30:00
03:00:00
03:30:00
04:00:00
04:30:00
05:00:00
05:30:00
06:00:00
06:30:00
07:00:00
07:30:00
08:00:00
08:30:00
09:00:00
09:30:00
10:00:00
10:30:00
11:00:00
11:30:00
12:00:00
12:30:00
13:00:00
13:30:00
14:00:00
14:30:00
15:00:00
15:30:00
16:00:00
16:30:00
17:00:00
17:30:00
18:00:00
18:30:00
19:00:00
19:30:00
20:00:00
20:30:00
21:00:00
21:30:00
22:00:00
22:30:00
23:00:00
23:30:00
1900-01-01 00:00:00
1900-01-01 00:30:00
1900-01-01 01:00:00
1900-01-01 01:30:00
1900-01-01 02:00:00
1900-01-01 02:30:00
1900-01-01 03:00:00
1900-01-01 03:30:00
1900-01-01 04:00:00
1900-01-01 04:30:00
1900-01-01 05:00:00
1900-01-01 05:30:00
1900-01-01 06:00:00
1900-01-01 06:30:00
1900-01-01 07:00:00
1900-01-01 07:30:00
1900-01-01 08:00:00
1900-01-01 08:30:00
1900-01-01 09:00:00
1900-01-01 09:30:00
1900-01-01 10:00:00
1900-01-01 10:30:00
1900-01-01 11:00:00
1900-01-01 11:30:00
1900-01-01 12:00:00
Spreadsheet: 885686d1735497928-generate-two-columns-based-on-a-branching-map-of-values-columns-worksheet-4-
Sheet: Sheet1

/\
eukaryotes
animals
mammals
domestic
 | \ |  | \
service | pets |  | farm
 |  | \ |  | \ | \ | \ | \ | \
 | cat | dog | horse | cow | sheep | pig | chicken | goat
 |  | collie | quarter | holstein | dorper | hampshire | [NAME] | pygmy
List Goal (or similar) |  |  | Calculated List |  |  | Version 2
eukaryotes | animals |  |  | animals |  |  | animals
animals | mammals |  | animals | mammals |  | animals | mammals
mammals | domestic |  | mammals | domestic |  | mammals | domestic
domestic | service |  | domestic | service |  | domestic | service
domestic | pets |  | domestic | pets |  | domestic | pets
domestic | farm |  | domestic | farm |  | domestic | farm
pets | cat |  | pets | cat |  | pets | cat
pets | dog |  | pets | dog |  | pets | dog
dog | collie |  | farm | horse |  | farm | horse
farm | horse |  | farm | cow |  | farm | cow
farm | cow |  | farm | sheep |  | farm | sheep
farm | sheep |  | farm | pig |  | farm | pig
farm | pig |  | farm | chicken |  | farm | chicken
farm | chicken |  | farm | goat |  | farm | goat
farm | goat |  | dog | collie |  | dog | collie
horse | quarter |  | horse | quarter |  | horse | quarter
cow | holstein |  | cow | holstein |  | cow | holstein
sheep | dorper |  | sheep | dorper |  | sheep | dorper
pig | hampshire |  | pig | hampshire |  | pig | hampshire
chicken | [NAME] |  | chicken | [NAME] |  | chicken | [NAME]
goat | pygmy |  | goat | pygmy |  | goat | pygmy
 | /\
 | eukaryotes
 | animals
 | mammals
 | domestic
 |  | \ |  | \
 | service | pets |  | farm
 |  |  | \ |  | \ | \ | \ | \ | \
 |  | cat | dog | horse | cow | sheep | pig | chicken | goat
 |  |  | collie | quarter | holstein | dorper | hampshire | [NAME] | pygmy
 |  |  | Calculated List |  |  | Version 2
 |  |  |  | animals |  |  | animals
 |  |  | animals | mammals |  | animals | mammals
 |  |  | mammals | domestic |  | mammals | domestic
 |  |  | domestic | service |  | domestic | service
 |  |  | domestic | pets |  | domestic | pets
 |  |  | domestic | farm |  | domestic | farm
 |  |  | pets | cat |  | pets | cat
 |  |  | pets | dog |  | pets | dog
 |  |  | farm | horse |  | farm | horse
 |  |  | farm | cow |  | farm | cow
 |  |  | farm | sheep |  | farm | sheep
 |  |  | farm | pig |  | farm | pig
 |  |  | farm | chicken |  | farm | chicken
 |  |  | farm | goat |  | farm | goat
 |  |  | dog | collie |  | dog | collie
 |  |  | horse | quarter |  | horse | quarter
 |  |  | cow | holstein |  | cow | holstein
 |  |  | sheep | dorper |  | sheep | dorper
 |  |  | pig | hampshire |  | pig | hampshire
 |  |  | chicken | [NAME] |  | chicken | [NAME]
 |  |  | goat | pygmy |  | goat | pygmy
Spreadsheet: 584610d1533289729-if-less-than-x-then-equal-x-ef1136_elo_wld_streaks
Sheet: Ref_data

KO | TKO | Subm | Tech_Subm | Decision
Kicks | Kicks | Rear Naked Choke | Rear Naked Choke | Unanymous
Punches | Punches | Triangle Choke | Triangle Choke | Split
Knees | Knees | Armbar | Armbar | DQ
Elbows | Elbows | [NAME] | [NAME]
Punches and Kicks | Punches and Kicks | [NAME] | [NAME]
Punches and Knees | Punches and Knees | Kimura | Kimura
Punches and Elbows | Punches and Elbows | Arm Triangle | Arm Triangle
Kicks and Knees | Kicks and Knees | Other | Other
Kicks and Elbows | Kicks and Elbows
Elbows and Knees | Elbows and Knees
Spreadsheet: 857936d1706783541-lookup-help-project-performance-tracker
Sheet: Project Summary

Contract #: | MS-1901
Contract:
Client:
 |  |  |  | Difference
Element | Budget (£) | PO Vals (£) | Inv Vals (£) | Budget | PO | Comments
Design
Material
Transport
Labour
Plant
Prelims
OHP
Spreadsheet: 153779d1336052248-display-sum-conditionally-111111
Sheet: Commissions

 | Only enter values in the box below - the rest will automatically update
 | Returns
Products | Initial Amount | Year 1 | Year 2 | Year 3 | Year 4 | Year 5 | Year 6 | Year 7 | Year 8 | Year 9 | Year 10 | Commission
Tuscany (Non SIPP)
[NAME]
Green Oil
Projected Bamboo
Standing Teak
Store Pods
[NAME]
[NAME]
Veture Oil |  |  |  |  |  |  |  |  |  |  |  |  | Returns are Projected
Farmland |  |  |  |  |  |  |  |  |  |  |  |  | Returns are Fixed
Agarwood |  |  |  |  |  |  |  |  |  |  |  |  | Returns are Projected
US Bond |  |  |  |  |  |  |  |  |  |  |  |  | Returns are Fixed
 |  |  |  |  |  |  |  |  |  | Total Commission
 |  |  |  |  |  |  |  |  |  |  |  | Totals
Additional Funds to re invest
Total value of fund
Possible Commissions on Re Investment
Spreadsheet: 731580d1620422432-reorganizing-table-parsing-text-file-based-convert-column-data-to-row-data-aldowski-
Sheet: Sheet1

Original Data | Helper 1 | Helper 2 |  | Output
Row: First
[NAME]: One
[NAME]: Two
[NAME]: Three
Row: Second
[NAME]: One
[NAME]: Two
Row: Third
[NAME]: One
[NAME]: Two
[NAME]: Three
[NAME]: Four
Row: Fourth
[NAME]: One
Row: Fifth
[NAME]: One
[NAME]: Two
Spreadsheet: 2c318c1e-9257-4767-9dbd-ea9b25b35e01
Sheet: Sheet1

Table 4 -- U.S. monthly average farm prices and marketings by class | 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 | Unnamed: 14 | Unnamed: 15 | Unnamed: 16 | Unnamed: 17
 |  |  | Long-grain |  |  |  |  |  |  |  |  | Medium/Short Grain
 |  | 2012/13 |  |  |  | 2011/12 |  |  |  | 2012/13 |  |  |  | 2011/12
Month | $/cwt |  | 1,000 cwt |  | $/cwt |  | 1,000 cwt |  | $/cwt |  | 1,000 cwt |  | $/cwt |  | 1,000 cwt
August | 14 |  | 8208 |  | 12.4 |  | 9343 |  | 15.9 |  | 2285 |  | 19 |  | 2041
September | 13.8 |  | 9192 |  | 13.7 |  | 10310 |  | 17.4 |  | 1496 |  | 17.8 |  | 2197
October | 14.1 | 1/ |  |  | 14.1 |  | 8703 |  | 17.9 | 1/ |  |  | 16.5 |  | 3074
November |  |  |  |  | 13.9 |  | 7205 |  |  |  |  |  | 16.9 |  | 4410
December |  |  |  |  | 13.8 |  | 9947 |  |  |  |  |  | 16.6 |  | 5007
January |  |  |  |  | 13.6 |  | 9491 |  |  |  |  |  | 16.7 |  | 5896
February |  |  |  |  | 13.2 |  | 9926 |  |  |  |  |  | 16 |  | 3712
March |  |  |  |  | 13 |  | 10050 |  |  |  |  |  | 16 |  | 4733
April |  |  |  |  | 13.2 |  | 9432 |  |  |  |  |  | 15.8 |  | 3904
May |  |  |  |  | 13.3 |  | 9698 |  |  |  |  |  | 16.3 |  | 3262
June |  |  |  |  | 13.5 |  | 7129 |  |  |  |  |  | 15.4 |  | 3395
July |  |  |  |  | 13.5 |  | 7492 |  |  |  |  |  | 16 |  | 2707
Average to date 2/ | 13.96666666666667 |  |  |  |  |  |  |  | 17.06666666666667
Season-average farm price | 14.2 | 3/ |  |  | 13.4 |  |  |  | 17 | 3/ 4/ |  |  | 16.5
Average marketings |  |  | 8700 |  |  |  | 9060.5 |  |  |  | 1890.5 |  |  |  | 3694.833333333333
Total volume marketed |  |  | 17400 |  |  |  | 108726 |  |  |  | 3781 |  |  |  | 44338
N/A = Not available.  1/  Mid-month only.  2/ Simple average. 3/ Forecast.
4/ The medium/short-grain season-average- farm price ([NAME]) largely reflects rice that is marketed through
price pools in California. The pool price is not final until all the rice in the pool is marketed for the crop year.
Therefore, [NAME] forecasts based on the average of NASS monthly prices and the final price may differ.
Source: Monthly cash price and marketings, Agricultural Prices, National Agricultural Statistics Service, USDA.
Last updated November 9, 2012.
Spreadsheet: 46146d1245052104-row-highlighted-when-a-condition-is-met-iso-8859-1test
Sheet: Sheet1

SL. NO. | [NAME] | EMPTY IN YARD | BOOKING REFERENCE NO | CONTAINER NO. | SEAL NO. | SHIPPING LINE | CRS / BLI / SOB | DESTINATION PORT | FULL IN YARD | SUPPLIER | LOADING SITE / YARD | MATERIAL CODE | WEIGHT MT | TARE WT (MT) | PAY LOAD (MT) | TRANSPORTER | STORAGE SITE | PRICE ZAR PMT | PRICE USD PMT | IHC EMPTY ZAR | IHC FULL ZAR | IHC TOTAL ZAR (SUM U+V) | THC ZAR | WARFAGE ZAR | CTO FEE ZAR | DOC CHARGES ZAR | AGENCY FEES ZAR | W/B CHARGES ZAR | STORAGE ZAR | LIFT ON/OFF ZAR | X-HAUL ZAR | TOTAL FOBING COST ZAR | TOTAL FOB COST OF FULL CONTAINER | FOBING COST PER CONT USD | TOTAL FOBING COST PMT ON ACTUAL WT BASIS USD | TOTAL FOBING COST PMT ON 20 MT BASIS USD | EXCHANGE RATE | FOB COST PMT ON ACTUAL WT BASIS USD | FOB COST PMT ON 20 MT BASIS USD | OCEAN FRIEGHT USD | OCEAN FREIGHT ON 20 MT BASIS USD | OCEAN FREIGHT PMT ON ACTUAL WT BASIS USD | SELLING COST USD | TOTAL C&F COST ON 20 MT BASIS USD | USD PMT CNF ACTUAL WT | INSPECTED BY | VESSEL / VOYAGE NO.
1 | [NAME] | 2009-04-30 00:00:00 | D941648 | MSCU 2700490 | 4878779 | MSC | SOB | MUNDRA | 2009-05-01 00:00:00 | LINBECK METALS | BRAKPAN | HONE | 25.52 | 2.28 | 28.2 | LINBECK | S.A.C.D | 2000 |  | 0 | 0 | 1450 | 958 | 965 | 35 | 100 | 250 | 0 | 250 | 310 | 5000 |  |  |  |  |  | 8 |  |  | 400 |  |  | 10 |  |  | NITIN GAHLOT | MSC CARLA 71A
2 | [NAME] | 2009-04-30 00:00:00 | D941648 | MSCU 3115490 | 4878957 | MSC | BLI | MUNDRA | 2009-05-04 00:00:00 | LINBECK METALS | WADVILLE | HONE | 27.93 | 2.28 | 28.2 | LINBECK | S.A.C.D | 2000 |  | 0 | 0 | 1150 | 958 | 965 | 35 | 100 | 250 | 0 | 250 | 310 | 5000 |  |  |  |  |  | 8 |  |  | 400 |  |  | 10 |  |  | ARJUN | MSC CARLA 71A
3 | [NAME] | 2009-04-30 00:00:00 | D941648 | MSCU 1940259 | 4879080 | MSC | CRS | MUNDRA | 2009-05-04 00:00:00 | LINBECK METALS | WADVILLE | HONE | 25.72 | 2.28 | 28.2 | LINBECK | S.A.C.D | 2000 |  | 0 | 0 | 1150 | 958 | 965 | 35 | 100 | 250 | 0 | 250 | 310 | 5000 |  |  |  |  |  | 8 |  |  | 400 |  |  | 10 |  |  | ARJUN | MSC CARLA 71A
Spreadsheet: 1bda66c0-5410-44b7-a0b8-1704bbce5b6a
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7
 | Accra, Ghana with CIEE
 | *Please note The University of Ghana serves most majors. Students choose classes from various departments on site in Ghana. All courses not listed below will need Loyola approval*
 | University of Ghana Legon courses
 |  |  |  |  | [NAME] |  | Approval
 | Ghanaian Literature | 3 | FA | EN*2 | EN*2 second core; ??! 2 credits now? must show research paper | 3 Changed to 2 credits !?! Fall 12 | Dr. [NAME]
 | Studies in Popular Literature |  | FA
 | [NAME], |  | FA | EN 205 |  |  | Dr. [NAME] 8/25/2012
 | Colonial Rule and African response | 3 | FA | [NAME] | [NAME], HS*3NW | 3 | Dr. [NAME] 2/26/14
 | Politics of International Economic Relations | 3 |  |  | PS*3GT |  | Dr. [NAME] 2/26/14
 | HIST 328 Economic History of [NAME] | 3 | SP | [NAME] |  | 3 | Dr. [NAME] 1/24/2013
 | Beginners: Traditional Dance I | 3 | FA | EH*1 | EH*1 for AAAS minor | 3 | Dr. [NAME] 8/16/11
 | HIST 334-Women in History | 3 | SP |  |  | 3
 | History of Latin America | 3 | FA | [NAME] | History core | 3 | Dr. [NAME]
 | Twi | 3 | FA | EH*1 | EH*1 free elective | 3
 | African-American Music in North America | 3 | FA | EH*3 | EH*3 for AAAS Minor | 3 | Dr. [NAME] 8/16/11
 | International Conflict/Resolution/Human Rights | 3 | FA |  | PS360 Transitional Justice |  | Dr [NAME] 8/20/2012
 | Governance and Leadership | 3 | FA |  | PS 300 |  | Dr. [NAME] 8/20/2013
 | Politics in Developing Countries -- Western Africa | 3 | FA | EH*3 | PS*3 for AAAS minor | 3 | Dr. [NAME] 8/16/11/PS*3 TBC
 | U.S. Policy [NAME] | 3 | FA |  | PS*3 | 3 | TBC
 | Politics in developping countries -  Africa | 3 |  |  | PS 300 | 3 | Dr. [NAME]; 3/22/12
 | Human Rights in Africa | 3 | SP |  |  | 3
 | Gender and Politics | 3 | FA |  | Gender Studies minor |  | Dr. [NAME]
 | Post Conflict Peace-Building and Transitional | 3 | FA |  | GT; PS*3 | 3 | Dr. [NAME]; Dr. [NAME]
 | PHIL  Philosophy of Culture | 3 | FA | PL*2 core | PL*2 core | 3 | Dr. [NAME], 8/22/12
 | Politics of Internaitonal economic relations |  | FA |  | GT; PS*3 |  | Dr. [NAME]; Dr. [NAME]
 | Poverty and Rural Development |  | SP | SC for GT |  |  | Dr. [NAME]
 | Context of Development and Underdevelopment |  | SP | SC for GT | SC*374 | 3 | Dr. [NAME]; Dr. Mc Cornac 2/26/14
 | SOCI 404 -The Context of Development and Underdevelopmen | 3 | AP |  |  | 3
 | SOCI 418 - Culture and reproductive Health | 3 | SP |  | SC*3GT(International Development) | 3 | Dr.Mc Cornac
DE-MKTG 306 | International marketing | 3 | SP | MK 348 | International Marketing | 3 | Dr. Athaide 10/7/2013
DE-MKTG 308 | Retail Marketing | 3 | SP | MK 451 | Retail Marketing | 3 | Dr. Athaide 10/7/2013
PY 335 | Developmental psychology | 3 | FA | PY 241 | Child Development | 3 | Dr. [NAME]
PY 435 | Guidance and Counseling | 3 | FA | PY 323 |  | 3 | Dr. [NAME]
Spreadsheet: 71289d1271960577-stopping-spreadsheet-at-a-certain-number-roadmap-template
Sheet: Income Streams

 |  |  |  |  |  | Expected Income Streams: [NAME]
 |  |  |  |  |  | Expected Income Streams
 |  |  |  |  |  | Sources of future investment additions that will be used to help achieve your investment goals.
 |  | Expected After Tax | At what age | For how
 | Source | Monthly Amount | will it start? | many years? | Inflate @
 | Sam's Social Security | 1900 | 72 | 23 | 0.0343
 | [NAME]'s Social Security | 1200 | 72 | 23 | 0.0343
 | Rental Income | 2000 | 72 | 23 | 0.0343
 |  |  |  |  | 0.0343
 |  |  |  |  | 0.0343
 |  |  |  |  | 0.0343
Spreadsheet: 682941d1592403151-automated-unique-lists-structure-example
Sheet: Structure

Group | Team | Sub-Team |  | [NAME] | Unique Sub-Teams | HELPER COLUMN
Group 1 | Team A | PWJ945
Group 1 | Team A | GRX803
Group 1 | Team B | GUT681
Group 1 | Team B | TWL960
Group 1 | Team C | JUK419
Group 1 | Team C | CIY808
Group 1 | Team C | SKM878
Group 1 | Team D | ZUZ160
Group 1 | Team D | YDL237
Group 1 | Team D | [NAME]
Group 1 | Team D | OAJ394
Group 1 | Team E | KSS403
Group 1 | Team E | LSD683
Group 1 | Team E | AYF600
Group 1 | Team E | ILF151
Group 1 | Team E | WCO533
Group 1 | Team F | QBL194
Group 1 | Team F | WSR997
Group 1 | Team F | XQV952
Group 1 | Team F | [NAME]
Group 1 | Team F | FFW785
Group 1 | Team F | ALV844
Group 1 | Team F | JLI076
Group 1 | Team F | AGI665
Group 2 | Team V | RLX426
Group 2 | Team V | OTY954
Group 2 | Team V | QJM480
Group 2 | Team V | OAL587
Group 2 | Team V | BKU008
Group 2 | Team V | [NAME]
Group 2 | Team V | BML077
Group 2 | Team V | VWT611
Group 2 | Team W | WOA460
Group 2 | Team X | KQI331
Group 2 | Team X | CVO777
Group 2 | Team X | FSG742
Group 2 | Team Y | DGX073
Group 2 | Team Y | RSQ324
Group 2 | Team Y | BBO378
Group 2 | Team Y | XZL549
Group 2 | Team Y | IQM223
Group 2 | Team Y | CHO358
Group 2 | Team Z | MGD928
Group 2 | Team Z | IMI736
Group 2 | Team Z | YQT082
Group 2 | Team Z | DLT181
Group 2 | Team Z | ESV159
Group 2 | Team Z | FFV436
Group 2 | Team Z | PBF717
Spreadsheet: 220839d1363278185-populating-data-into-a-summary-tab-using-multiple-data-tabs-s1e-ver-1
Sheet: JKL

 |  |  |  | 202 | 204 | 52 | 20 | Total
 |  |  | BCB | 7675 | 67 | 88 | 234
 |  |  | MCM | 757 | 0 | 44 | 0
 |  |  | AET | 1 | 76 | 4 | 56
 |  |  | UHC | 57 | 564 | 56 | 656
 |  |  | WCM | 2 | 0 | 667 | 66
 |  |  | COM | 32 | 4 | 3 | 565
 |  |  | CIG | 1 | 45 | 7 | 777
 |  |  | AFH | 45 | 55 | 777 | 434
Spreadsheet: d3f83f0a-98e0-44c6-9fc9-d2369d5fbcfe
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | SWIM | T1 | BIKE | T2 | RUN | POSITION | TOTAL TIME
7188 | 16030 | Abrahm | Louw | NAM | 18 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | 1 | 01:58:43
7188 | 12172 | [NAME] | Blignaut | RSA | 15 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | 2 | 02:00:59
7188 | 11871 | [NAME] | Naude | RSA | 14 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | 3 | 02:02:19
7188 | 15988 | Valery | De Falbaire | MRI | 16 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | 4 | 02:11:22
Spreadsheet: 36965d1234907874-modifying-cells-after-subtotaling-example
Sheet: Formatted

Employee | Item | Sales
 | Gloves | 10
 | Socks | 15
Fred Total |  | 25
 | Gloves | 5
 | Socks | 30
Alice Total |  | 35
 | Socks | 16
[NAME] |  | 16
Grand Total |  | 76
Spreadsheet: 824776d1680814535-multiple-options-in-one-column-h-and-s-training-record-20230104-koalakiller-
Sheet: Procedures 2023

 | Procedures
Item | P1 | P2 | P3 | P4 | P5 | P6 | P7 | P8 | P9 | P10 | P11 | P11E | P12
Version | V2 | V1
 | Date | Date | Date | Date | Date | Date | Date | Date | Date | Date | Date | Date | Date
Employee name
 | 23/03/23 LT | 27/03/2023 LT
 | 23/03/23 LT | 27/03/2023 LT
 | 23/03/23 LT | 27/03/2023 LT
 | 23/03/23 LT | 27/03/2023 LT
 | 23/03/23 LT | 27/03/2023 LT
 | 23/03/23 LT | 27/03/2023 LT
 | 23/03/23 LT | 27/03/2023 LT
 | 23/03/23 LT | 27/03/2023 LT
 | 23/03/23 LT | 27/03/2023 LT
 | 23/03/23 LT | 27/03/2023 LT
 | 23/03/23 LT | 27/03/2023 LT
 | 23/03/23 LT | 27/03/2023 LT
 | 23/03/23 LT | 27/03/2023 LT
 | 23/03/23 LT | 27/03/2023 LT
Spreadsheet: 773743d1648032431-scenarios-how-can-i-list-a-number-of-results-exceeding-the-limit-of-32-cells-scenario_limits_example
Sheet: ENGINE 1

ENGINE 1
Nominal Power | 100
RPM | 2500
fuel consumption - full load | 100
fuel consumption - partial load | 50
fuel consumption - idle | 1
additive consumption - full load | 10
additive consumption - partial load | 5
additive consumption - idle | 1
emission 1 - full load | 3
emission 1 - partial load | 3
emission 1 - idle | 1.2
emission 2 - full load | 2
emission 2 - partial load | 1
emission 2 - idle | 1
emission 3 - full load | 5
emission 3 - partial load | 2
emission 3 - idle | 1.3
emission 4 - full load | 10
emission 4 - partial load | 10
emission 4 - idle | 1.5
emission 5 - full load | 5
emission 5 - partial load | 2.5
emission 5 - idle | 1.3
Spreadsheet: 50528d1249987165-vlookup-multiple-lines-excel-forum-rev-01
Sheet: Usage

Supplier |  | Qty | [NAME] | Total
Tesco | 1.2009 | 50 | 0 | 3
Tesco | 2.2009 | 55 | 0
Tesco | 3.2009 | 51 | 0
Tesco | 4.2009 | 52 | 0
Tesco | 5.2009 | 55 | 0
Tesco | 6.2009 | 56 | 0
 |  |  | 0
Sainsburys | 3.2009 | 99 | 1
Sainsburys | 5.2009 | 98 | 2
Sainsburys | 6.2009 | 97 | 3