tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 756117d1637281840-help-with-complex-formula-with-xlookup-sample2
Sheet: F-100 calc.

 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Complicated case | Uncomplicated case
 |  | F100 |  |  |  |  | F75 |  |  |  |  |  |  |  |  | Admission kg | 6 | 10
 | Weight | Min ml | [NAME] ml | Ave daily ml | Daily cannister | [NAME] | Daily ml | Daily cannister | [NAME] | 3 days | 4 days | 5 days | 6 days | 7 days
 | 2 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | STABILIZATION
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | LoS, stabilization | 7
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Daily weight gain, stabilization | 5
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | F75 daily
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | F75 total
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | REHABILITATION
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Days | 9 | 30
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Daily weight gain | 5 | 30
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | F100 daily
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | F100 total |  |  |  |  | direct calculation without incremental weight gain
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Day | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | SUM
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Weight (kg) | 6
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | F100 (kg)
Spreadsheet: 109724d1306501121-excel-2007-specific-date-compared-to-date-range-fed-calc-v3
Sheet: Year 3

 | Case Number |  |  |  |  | Date Prepared
 | Non Custodial Parent |  |  |  |  |  | Reconciliation Date
 | CP/Caretaker
 | YEAR 3:
 |  | Amount Due |  |  |  |  |  | Charging
 |  |  |  |  |  |  |  | Order
Month |  | ORDER 1 | ORDER 2 | ORDER 3 | ORDER 4 | ORDER 5 |  | Amount
25 | January
26 | February
27 | March
28 | April
29 | May
30 | June
31 | July
32 | August
33 | September
34 | October
35 | November
36 | December
 | Support Due
 | Support Paid
 | [NAME]
 | Accrued Arrearage
 | Last Year Carryover
 | Lump/TANF
 | This Year
 | Total
 | Interest Rate
 | Arrears Interest
 | Fees Due
 | Fees Paid
 | Fees Owed
Spreadsheet: 699282d1602519345-check-the-condition-and-return-the-value-as-1-if-statement-solution
Sheet: Americas

Account Sales Region | Account Sales Country | Opportunity Owner | Opportunity Name | Opportunity External Id | Campaign Name | Account Name | Account External Id | [NAME] | Expected [NAME] | Submission Deadline | Decision Date | Start Operations Date | End Operations Date | Duration (Months) | Global Projects Industries | Reporting Currency | Total Target Revenue | Gross Profit % | Freight Tonnes | Target Revenue (current year) | Target Revenue (next year) | Target Revenue (in two years) | Commercial Support | Technical Support | Ocean Chartering Support | Engineering Support | Project Region | Project Country | Project Location Report | Created Date | Last Update Date | Opportunity ID | # of Opportunities | # of Opportunity ID | Total Target Revenue | Currency | Competitors
Asia/Pacific | Australia | BOMSI IRANI | GP-AU PROJECT/INFRASTRUCTURE AU CROSS TRADE PIPES LA | WW-WWTWI-300003217633472 |  | Infrastructure Solutions Australia | WW-WWTWI-300003146842842 | Solution Design | 2020-06-24 00:00:00 | 2020-07-01 00:00:00 | 2020-12-31 00:00:00 | 2020-09-03 00:00:00 | 2020-10-28 00:00:00 | 2 | Infrastructure Industry | USD | 1200000 | 0.15 | 9000 | 1200000 | 0 | 0 | Y | N | N | N | Americas |  | Americas | 2020-06-29 00:00:00 | 2020-09-17 00:00:00 | 300003217633472 | 1 | 1 | 1200000 | USD | Agility
Asia/Pacific | Australia | BOMSI IRANI | GP-AU PROJECT/INFRASTRUCTURE AU CROSS TRADE PIPES Seattle | WW-WWTWI-300003237131220 |  | Infrastructure Solutions Australia | WW-WWTWI-300003146842842 | Decision Pending | 2020-08-10 00:00:00 | 2020-08-25 00:00:00 | 2020-12-31 00:00:00 | 2020-09-23 00:00:00 | 2020-11-30 00:00:00 | 2 |  | USD | 250000 | 0.15 | 895 | 250000 | 0 | 0 | N | N | N | N |  |  |  | 2020-08-10 00:00:00 | 2020-09-17 00:00:00 | 300003237131220 | 1 | 1 | 250000 | USD | Agility
Asia/Pacific | Australia | BOMSI IRANI | GP-AU PROJECT/OLEX NEXAN CABLES AU MOLOGIA VALLEY | WW-WWTWI-300003237365507 |  | OLEX AUSTRALIA PTY LIMITED | AU-SAP331-D0002760531 | Decision Pending | 2020-08-12 00:00:00 | 2020-08-12 00:00:00 | 2020-10-28 00:00:00 | 2020-11-26 00:00:00 |  |  |  | USD | 1177284 |  | 56 | 1177284 | 0 | 0 | N | N | N | N |  |  |  | 2020-08-11 00:00:00 | 2020-09-14 00:00:00 | 300003237365507 | 1 | 1 | 986000 | EUR | KUEHNE & NAGEL
Asia/Pacific | Australia | BOMSI IRANI | GP-AU-PROJECT/CRRC AUSTRALIA HCMT REPAIR TRAIN | WW-WWTWI-300003186604334 |  | CRRC CHANGCHUN AUSTRALIA P/L | AU-SAP331-D0002680430 | Decision Pending | 2020-05-01 00:00:00 | 2020-05-01 00:00:00 | 2020-12-31 00:00:00 | 2020-12-22 00:00:00 | 2021-12-02 00:00:00 | 12 | Infrastructure Industry | USD | 417900 | 0.15 | 271200 | 417900 | 0 | 0 | N | N | N | N | Asia/Pacific | Australia | Australia | 2020-05-01 00:00:00 | 2020-09-17 00:00:00 | 300003186604334 | 1 | 1 | 350000 | EUR | GEODIS
Spreadsheet: 679141d1590219040-match-play-golf-comp-having-difficulty-with-winner-and-allocation-of-points-in-table-master-birdie-scores
Sheet: Sheet2

Round analysis
 |  |  |  |  |  |  |  |  | Won By
 |  |  |  |  |  |  |  | 1 | 2 | 3 | Avg
 | [NAME] | 5 | & | 4 | [NAME] |  | [NAME] | 5 | 3 | 0
 | [NAME] | 2 | & | 3 | [NAME] |  | [NAME] | 0 | 0 | 0
 | [NAME] | 2 | & | 3 | [NAME] |  | [NAME] | 3 | 0 | 4
 | [NAME] | 2 | & | 3 | [NAME] |  | [NAME] | 0 | 2 | 4
 | [NAME] | 4 | & | 3 | [NAME]
 | [NAME] | 4 | & | 3 | [NAME]
Spreadsheet: 132782d1323925223-excel-2012-calendar-copy-of-2012-monthly-calendar
Sheet: Sep 2012

September 2012 Calendar.  This calendar is designed for easy use as a planner and has print range preset. |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Made with [NAME]: | Calendar Creator Software
 | ◄ Aug 2012 |  |  |  | ~ September 2012 ~ |  |  |  |  |  |  |  | Oct 2012 ► |  |  |  |  |  |  |  |  |  |  |  | 2011 XLS Calendars
 | Sunday |  | Monday |  | Tuesday |  | Wednesday |  | Thursday |  | Friday |  | Saturday |  |  |  |  |  |  |  |  |  |  |  | 2012 XLS Calendars
 |  |  |  |  |  |  |  |  |  |  |  |  | 2012-09-01 00:00:00 |  |  |  |  |  |  |  |  |  |  |  | XLS Calendar Templates
 | 2012-09-02 00:00:00 |  | 2012-09-03 00:00:00 |  | 2012-09-04 00:00:00 |  | 2012-09-05 00:00:00 |  | 2012-09-06 00:00:00 |  | 2012-09-07 00:00:00 |  | 2012-09-08 00:00:00
 | 2012-09-09 00:00:00 |  | 2012-09-10 00:00:00 |  | 2012-09-11 00:00:00 |  | 2012-09-12 00:00:00 |  | 2012-09-13 00:00:00 |  | 2012-09-14 00:00:00 |  | 2012-09-15 00:00:00
 | 2012-09-16 00:00:00 |  | 2012-09-17 00:00:00 |  | 2012-09-18 00:00:00 |  | 2012-09-19 00:00:00 |  | 2012-09-20 00:00:00 |  | 2012-09-21 00:00:00 |  | 2012-09-22 00:00:00
 | 2012-09-23 00:00:00 |  | 2012-09-24 00:00:00 |  | 2012-09-25 00:00:00 |  | 2012-09-26 00:00:00 |  | 2012-09-27 00:00:00 |  | 2012-09-28 00:00:00 |  | 2012-09-29 00:00:00
 | 2012-09-30 00:00:00 |  | Notes:
 |  |  |  |  |  |  |  | Future Month Calendars: |  | Oct 2012 |  | Nov 2012 |  | Dec 2012
 | Created with [NAME]
 | ► For more layouts, colors, options & for calendars with [NAME] (for 10 Countries + Christian, Jewish & Muslim)  download [NAME] from WinCalendar.com.
 | ► You can even import Microsoft Outlook & Google Calendar appointment data onto created calendars using WinCalendar.
 | ► WinCalendar is also a integrated Windows, Word & Excel popup calendar that supports storing of daily appointments that display on created calendars.
Spreadsheet: 183231d1348755706-chart-axis-label-not-showing-sample
Sheet: Lodi RSA

WEST DIVISION SURVEY DATA |  |  |  |  |  | Customer Satisfaction Survey Results
WOOD | [NAME] |  |  |  |  | Would you recommend our services to others?
[NAME] |  |  |  |  |  |  | YES |  | NO |  | NA
Location | Survey #'s | Average | Accounts Surveyed |  |  | Location | Numbers | % | Numbers | % | Numbers | %
Broadway |  |  |  |  |  | Broadway
Creekside |  |  |  |  |  | Creekside
[NAME] |  |  |  |  |  | [NAME]
OCR Lodi |  |  |  |  |  | OCR Lodi
OCR Redding |  |  |  |  |  | OCR Redding
Pharmacy Support Hayward |  |  |  |  |  | PSS Hayward
[NAME] |  |  |  |  |  | [NAME]
[NAME] |  |  |  |  |  | [NAME]
Spreadsheet: 819919d1677766756-find-all-instances-and-then-check-variable-question
Sheet: Payments

Customer ID | Payment Date
7 | 2023-03-15 00:00:00
5 | 2023-03-16 00:00:00
2 | 2023-03-17 00:00:00
4 | 2023-03-18 00:00:00
5 | 2023-03-19 00:00:00
6 | 2023-03-20 00:00:00
9 | 2023-03-21 00:00:00
8 | 2023-03-22 00:00:00
11 | 2023-03-23 00:00:00
52 | 2023-03-24 00:00:00
3 | 2023-03-25 00:00:00
5 | 2023-03-26 00:00:00
4 | 2023-03-27 00:00:00
7 | 2023-03-28 00:00:00
6 | 2023-03-29 00:00:00
3 | 2023-03-30 00:00:00
9 | 2023-03-31 00:00:00
10 | 2023-04-01 00:00:00
Spreadsheet: 155072d1336662190-x-axis-probklem-in-simple-line-charts-export-m
Sheet: MOROCCO

MOROCCO
 | 1977 | 1978 | 1979 | 1980 | 1981 | 1982 | 1983 | 1984 | 1985 | 1986 | 1987 | 1988 | 1989 | 1990
[NAME] | 600 |  | 300 |  | 300 |  |  | 500 |  |  |  | 300 | 650 | 250
Abdeslam |  |  |  |  |  |  | 1000 | 1000 |  |  | 1000 | 1000 |  | 1500
Total | 600 | 0 | 300 | 0 | 300 | 0 | 1000 | 1500 | 0 | 0 | 1000 | 1300 | 650 | 1750
%  Total Sales | 0.003 | 0 | 0.001 | 0 | 0.001 | 0 | 0.003 | 0.004 | 0 | 0 | 0.001 | 0.002 | 0.001 | 0.002
% Export Sales | 0.004 | 0 | 0.002 | 0 | 0.002 | 0 | 0.005 | 0.006 | 0 | 0 | 0.003 | 0.003 | 0.001 | 0.003
 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004
Abdeslam |  | 1500 | 1500 |  | 1500 |  |  | 1500 |  |  | 1500 | 0 | 1500
[NAME] | 500 | 500 |  |  | 750 |  |  | 1100
Carmela/Faber |  |  |  |  | 11600
Total | 500 | 2000 | 1500 | 0 | 13850 | 0 | 0 | 2600 | 0 | 0 | 1500 | 0 | 1500 | 0
%  Total Sales | 0.001 | 0.002 | 0.001 | 0 | 0.011 | 0 | 0 | 0.001967611599524443 | 0 | 0 | 0.0008580332505045235 | 0 | 0.001020767862416824 | 0
% Export Sales | 0.001 | 0.003 | 0.002 | 0 | 0.015 | 0 | 0 | 0.002719605531677651 | 0 | 0 | 0.001110224576227279 | 0 | 0.0008263820827142354 | 0
 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018
Tailia Impex |  |  |  | 4000 |  |  | 0
Coniex Maroc |  |  |  | 3500
Abdeslam
[NAME]
Carmela/Faber
Total | 0 | 0 | 0 | 7500 | 0 | 0 | 0
%  Total Sales | 0 | 0 |  | 0.003942639328931245 | 0 | 0
% Export Sales | 0 | 0 |  | 0.004503909393353431 | 0 | 0
Chart data
77 | 600
78 | 0
79 | 300
80 | 0
81 | 300
82 | 0
83 | 1000
84 | 1500
85 | 0
86 | 0
87 | 1000
88 | 1300
89 | 650
90 | 1750
91 | 500
92 | 2000
93 | 1500
94 | 0
95 | 13850
96 | 0
97 | 0
98 | 2600
99 | 0
0 | 0
1 | 1500
2 | 0
3 | 1500
4 | 0
05 | 0
06 | 0
07 | 0
08 | 7500
09 | 0
10 | 0
11 | 0
12 | 0
13 | 0
14 | 0
15 | 0
16 | 0
17 | 0
18 | 0
Spreadsheet: 74638d1275133259-share-excel-income-and-expenditure-form-income-and-expenditure-master-
Sheet: Summary

Household | 0 | #N/A
Financial Products | 0 | #N/A
Leisure | 0 | #N/A
Children | 0 | #N/A
Travel | 0 | #N/A
Other | 0 | #N/A
Total Spending | 0
Spreadsheet: 714812d1611384807-google-sheets-countifs-and-sumif-formulas-returning-0-copy-of-terrenos-familia-4-
Sheet: Vista Cibeles #100

 | VISTA CIBELES #100 |  |  | Renta
 |  |  |  | Meses rentados |  |  | Gastos
 |  |  |  | Ingresos |  |  | Ingresos
 |  |  |  |  |  |  | [NAME]
 | Fecha de pago | Propriedad | Persona | Descripcion | [NAME] | Monto | Recibo/Factura | Comentarios
Spreadsheet: 58297d1258567785-compare-cells-with-other-other-worksheets-compare-20cells-20example-1-
Sheet: Sheet6

Color | [NAME] | [NAME] | [NAME] | Color | [NAME] | [NAME] | [NAME]
Yellow |  |  |  | Yellow |  |  |  | Yellow
Orange |  |  |  | Orange |  |  |  | Orange
White |  |  |  | White |  |  |  | White
Pink |  |  |  | Pink |  |  |  | Pink
Red |  |  |  | Red |  |  |  | Red
Green |  |  |  | Green |  |  |  | Green
Blue |  |  |  | Blue |  |  |  | Blue
Spreadsheet: 9af1e06a-7ca5-4f36-a14e-dbee402883d8
Sheet: Sheet1

Bevölkerung des Freistaates Sachsen nach ausgewählten Altersgruppen | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4
[NAME]
Alter von ... bis                     unter ... Jahren | 2011 | 2015 | 2020 | 2025
1 000
unter 6 | 3686 | 3149 | 2668 | 2246
6 - 15 | 5041 | 4867 | 4654 | 4094
15 - 25 | 6891 | 4983 | 5085 | 5041
25 - 40 | 13005 | 11651 | 9469 | 7998
40 - 65 | 26938 | 25421 | 23094 | 21010
65 und mehr | 18136 | 18356 | 19293 | 19767
Insgesamt | 73697 | 68427 | 64263 | 60156
%
unter 6 | 5.001560443437318 | 4.601984596723516 | 4.1516891523894 | 3.733625905977791
6 - 15 | 6.840169884798566 | 7.112689435456764 | 7.242114435989605 | 6.805638672784095
15 - 25 | 9.350448457874812 | 7.282213161471349 | 7.912795854535269 | 8.379878981315247
25 - 40 | 17.6465799150576 | 17.02690458444766 | 14.73476183807167 | 13.29543187711949
40 - 65 | 36.55236983866372 | 37.15053999152381 | 35.93669763316372 | 34.9258594321431
65 und mehr | 24.60887146016799 | 26.8256682303769 | 30.02194108585033 | 32.85956513066029
Insgesamt | 100 | 100 | 100 | 100
Gebietsstand: | 1. Januar 2012
Quelle: | 2011 Bevölkerungsfortschreibung auf Basis der [NAME] vom 03. Oktober 1990
 | 2012 - 2025 Bevölkerungsprognose
Bevölkerung jeweils am 31. Dezember
Prognoseergebnisse werden bei der Veröffentlichung immer auf volle [NAME] gerundet. [NAME] basieren [NAME] ungerundeten Werten. Beim [NAME] der [NAME] werden Ihnen die ungerundeten [NAME] zur Verfügung gestellt, damit [NAME] eigenen Berechnungen genauer durchführen können. Die Darstellung der Ergebnisse sollte dann aber wieder gerundet erfolgen.
Spreadsheet: 782752d1654240268-finding-the-min-and-max-of-alphanumeric-values-based-on-multiple-criteria-test-6-ans
Sheet: Sheet1

ID | C1 | C2 | [NAME] | BIN |  |  | C1 | C2 | [NAME] | BIN_MIN | BIN_MAX | MIN | MAX
5 | A | F | L | AA506 |  |  | A | M | L | [NAME] | AA484
2 | A | F | L | AA610 |  |  | A | F | L | AA506 | AB076
6 | A | F | L | AB066 |  |  | A | F | M | AB224 | [NAME]
3 | A | F | L | AB076 |  |  | B | F | N | BD188 | BD203
765 | A | F | M | AB224 |  |  | A | M | M
764 | A | F | M | AB283 |  |  | B | M | L
763 | A | F | M | AB293 |  |  | B | F | L
766 | A | F | M | [NAME]
4 | A | M | L | [NAME] | 1
1 | A | M | L | AA484 | 1
769 | A | M | M | AB113
762 | A | M | M | AB126
767 | A | M | M | AB130
3 | B | F | L | AD404
1 | B | F | L | AD422
2 | B | F | L | AD432
3349 | B | F | N | [NAME]
3350 | B | F | N | BD188
3348 | B | F | N | BD201
3347 | B | F | N | BD203
228 | B | M | L | AC101
214 | B | M | L | BA142
227 | B | M | L | BA145
189 | B | M | L | BA361
Spreadsheet: 478852d1473105926-is-there-a-drag-option-to-fill-every-second-cell-fill-out-form
Sheet: form

Ground Floor | Room 17A
Ground Floor | Room 21M
First Floor | Hall A
West Wing | Room 95
West Wing | Room 7
West Wing | Hall B
West Wing | Hall K
First Floor | Hall B
First Floor | Room 23
Spreadsheet: 267418d1380070750-conditional-formating-and-formula-help-sample2
Sheet: Initial

Notes
 |  |  |  | Aircraft | RAMP |  |  | PAX |  | Services |  |  |  |  |  |  |  | CABS |  | Com. [NAME]. |  | FD | T1 | T3
 | Customer | Airline | Flight # | Reg/Tail | Ramp | ETA | ATD | OFF | ON | GPU | Heat Cart | Lav | Water | Stairs | Hangar | Fuel | Notes |  | Time |  | Contact |  | RAMP
1 |  |  |  | 920 | MT/G7
 |  |  |  |  | ETD |  |  |  |  |  |  |  |  | Fuel | Qty
2
 |  |  |  |  | ETD |  |  |  |  |  |  |  |  | Fuel | Qty
3
 |  |  |  |  | ETD |  |  |  |  |  |  |  |  | Fuel | Qty
Spreadsheet: 107726d1304876947-round-function-help-intexcel
Sheet: Appliance

State | 2006 | 2007 | 2009 | State Totals
CT | 16565 | 222229 | 217878 | 456672
MA | 279098 | 354545 | 575757 | 1209400
ME | 210045 | 247021 | 301034 | 758100
NH | 230340 | 279828 | 410999 | 921167
NJ | 257089 | 370089 | 560899 | 1188077
NY | 750918 | 790123 | 890123 | 2431164
PA | 749023 | 720191 | 818923 | 2288137
RI | 249092 | 332939 | 370909 | 952940
VT | 229891 | 279090 | 298982 | 807963
Yr Totals | 2972061 | 3596055 | 4445504 | 11013620
Spreadsheet: 142076d1329629171-how-to-calcualate-the-first-login-and-last-log-out-time-time-1-
Sheet: Sheet1

 | Values
Row Labels | Min of FormatedLoginTime | [NAME] of FormatedLogoutTime
15087 | 10:29:00 | 11:46:00
15089 | 11:34:00 | 12:33:00
[NAME] | 14:31:00 | 23:30:00
[NAME] | 12:32:00 | 21:12:00
Anand [NAME] | 12:34:00 | 18:30:00
Anil Rampeesa | 14:29:00 | 23:31:00
Anirudh M Singh | 07:36:00 | 16:35:00
Ankit Sharma | 14:35:00 | 23:31:00
[NAME] | 10:30:00 | 19:36:00
Arun, G | 16:13:00 | 20:12:00
[NAME] | 14:28:00 | 23:30:00
[NAME] | 16:12:00 | 01:10:00
[NAME] | 08:36:00 | 18:23:00
Dinesh Putti | 12:37:00 | 21:40:00
[NAME] | 14:33:00 | 23:30:00
[NAME] | 14:29:00 | 23:30:00
Gopalkrishna | 16:29:00 | 01:33:00
Hafeez M Ahmed | 05:29:00 | 14:31:00
[NAME] | 10:35:00 | 19:30:00
Karthik Kumar | 11:47:00 | 20:24:00
Krishna, M B R | 16:35:00 | 20:48:00
Kumaresh M | 14:50:00 | 23:31:00
Lakshmi Swati | 21:30:00 | 06:30:00
Maiyappa, Gangadhara | 21:41:00 | 21:52:00
Naseem, Fara | 07:09:00 | 14:31:00
Nayak, Sadhana | 05:27:00 | 14:37:00
[NAME] | 11:25:00 | 20:25:00
Nischith Suvarna | 14:35:00 | 23:30:00
[NAME] | 14:32:00 | 23:31:00
Prathiba Narasiah | 11:15:00 | 20:24:00
Praveen K | 10:31:00 | 19:34:00
Prethyush M Dharan | 11:00:00 | 20:00:00
Ragina Rajan | 07:36:00 | 16:32:00
[NAME] | 12:31:00 | 21:30:00
Rakesh L D'Souza | 05:32:00 | 12:43:00
Ravi Manduru | 07:21:00 | 16:34:00
[NAME] | 10:46:00 | 19:00:00
Sabir Kumar Swain | 09:34:00 | 18:38:00
Sandeep K | 14:31:00 | 23:30:00
Sanoop M | 11:06:00 | 20:06:00
[NAME] | 08:26:00 | 17:29:00
[NAME] | 00:25:00 | 02:30:00
[NAME] | 21:49:00 | 01:44:00
[NAME] | 07:32:00 | 16:33:00
Sunil Kumar S | 14:34:00 | 23:32:00
[NAME] | 16:45:00 | 01:34:00
[NAME] | 21:29:00 | 06:31:00
[NAME] | 14:31:00 | 23:30:00
[NAME] | 05:29:00 | 14:32:00
Grand Total | 00:25:00 | 23:32:00
Spreadsheet: 85888d1285886886-excel-question-i-cant-word-xr_254
Sheet: Sheet5

open | 17000 | open
open | 2000 | open
closed | 1530 | closed
closed | 10540 | closed
open | 12000 | open
closed | 7000 | closed
Spreadsheet: c87fb1ee-900c-4a97-b89c-43a1fdc12a82
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | SNOWSHOE | T1 | SKATE | T2 | SKI | POSITION | TOTAL TIME
7540 | 56053 | [NAME] | [NAME] | CZE | 78 | 00:19:26 | [NAME] | [NAME] | 00:01:04 | 00:18:00 | 1 | 01:00:48
7540 | 55615 | Tatiana | Loginova | RUS | 77 | 00:18:27 | [NAME] | 00:23:37 | [NAME] | 00:17:19 | 2 | 01:01:08
7540 | 56044 | [NAME] | [NAME] | FIN | 80 | 00:20:14 | [NAME] | [NAME] | 00:01:11 | 00:19:48 | 3 | 01:09:14
7540 | 40364 | Sandra | [NAME] | EST | 79 | [NAME] | 00:00:49 | 00:27:49 | 00:01:06 | 00:22:29 | 4 | 01:11:55
7540 | 46474 | [NAME] | Paukku | FIN | 76 | 00:19:49 | 00:00:32 | 00:29:15 | 00:01:29 | 00:21:41 | 5 | 01:12:51
Spreadsheet: 680663d1591127381-adding-a-number-count-down-a-column-based-on-a-formula-mob-for-drave45
Sheet: Sheet1

Floor # | [NAME] | SF/mobilizations | Mobs/Floor | Running Total Mobs
2 | 14560 | 12470
3 | 14560 | 12470
4 | 13400 | 12470
5 | 12100 | 12470
TOTAL
Spreadsheet: 806740d1669547857-populating-cells-with-number-of-hours-taken-during-that-week-book2-hd
Sheet: Sheet1

Member | First Day Of Leave | Last Day Of Leave | Working Days Taken
[NAME] | 2022-11-21 00:00:00 | 2022-11-30 00:00:00 | 8
[NAME] | 2023-02-13 00:00:00 | 2023-02-14 00:00:00 | 2
Mark | 2022-01-03 00:00:00 | 2022-01-04 00:00:00 | 2
Mark | 2022-11-29 00:00:00 | 2022-11-29 00:00:00
Mark | 2022-12-01 00:00:00 | 2022-12-01 00:00:00
Spreadsheet: 36538d1234409006-count-pairs-of-numbers-count-pairs
Sheet: Sheet1

2 | 7
7 | 8
7 | 17
8 | 13
7 | 9
3 | 13
2 | 5
6 | 9
1 | 12
4 | 7
1 | 7
5 | 9
1 | 2
1 | 5
5 | 6
4 | 9
1 | 5
3 | 5
9 | 10
5 | 10
 |  |  |  |  | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20
 |  |  |  | 1
 |  |  |  | 2
 |  |  |  | 3
 |  |  |  | 4
 |  |  |  | 5
 |  |  |  | 6
 |  |  |  | 7
 |  |  |  | 8
 |  |  |  | 9
 |  |  |  | 10
 |  |  |  | 11
 |  |  |  | 12
 |  |  |  | 13
 |  |  |  | 14
 |  |  |  | 15
Spreadsheet: 116023d1311506325-selective-columns-marcol
Sheet: mi

Moriarty. [NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | HANDICAPPING
hole | par | stroke index | adjusted par | pts calc | [NAME] | strokes | points | PAR 3 | INDEX 1 | INDEX 2 | INDEX 3 | adjusted par | pts calc | [NAME] | points | handicap | handicap | handicap | catergory | Buffer Zone | css | Nett Differential | adjustment
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Nett | Nett
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | points | points
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 18 | 36
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | par 3
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | sss | css adj | "RO"
in
out
total
Spreadsheet: 01c0148b-90b2-4341-85e8-8ae3613f32a2
Sheet: Sheet1

STUDY ABROAD COST COMPARISON TOOL      This form is to help you compare costs between programs.
PROGRAM NAMES:
NDSU Tuition & Fees
Direct Program Tuition or Affiliate Program Fee
Study Abroad Course Fee ($50)
Application Fee(s)
Housing
Meals
Airfare
Passport
Student Visa
Local Transportation
Books and Supplies
Personal Expenses
Health Insurance
Other
TOTAL:
PROGRAM NAMES: | List the name of the program being compared. It might also be useful to note if the program is exchange, direct, faculty-led, or affiliate.
NDSU Tuition & Fees | EXCHANGE: Your normal NDSU tuition and fees. DIRECT & AFFILIATE: NDSU tuition waived, estimate $100 in student fees.
Direct Program Tuition or Program Fee | DIRECT: The tuition cost. ISEP EXCHANGE & AFFILIATE: Program fee, which might include housing and meals.
Study Abroad Course Fee ($50) | Applies for all credit-bearing summer, semester, and year programs.
Application Fee(s) | EXCHANGE: $100, ISEP DIRECT: $150, NDSU DIRECT: $100, AFFILIATE: $60 + any fees required by the program provider
 | Note: deposits are not included here because they credit against tuition/program fee amounts
Housing | Varies by program. This might be included in a program fee.
Meals | Varies by program. This might be included in a program fee, available as a meal plan, or you might pay for meals as you go.
Airfare | This amount varies by country. Inexpensive locations might cost $1000 or less, moderately expensive $1500 or less, and expensive $2000 or less.
Passport | For US citizens, estimate $150 for application fee, photos and postage.
Student Visa | This number varies by country, length of stay, purpose of stay, and your citizenship. Visas for some countries require traveling to another city to apply in person, so include that cost if needed.
Local Transportation | This is for transportation during the term, whether it’s by metro, bus, bike or other means. You can use $200 as a general estimate.
Books and Supplies | Individual programs might give an estimate for this. If they do not, you can use the NDSU estimate of $550 per semester.
Personal Expenses | This varies depending on the cost of living in the country and your own plans for travel. An estimate in inexpensive locations would be $1000, moderately expensive $2000, and expensive $3000.
Health Insurance | Health insurance and emergency evacuation insurance meeting certain standards is required for all study abroad students. Insurance through an NDSU-approved provider is $39/month and coverage for ISEP programs is $70/month. Some programs included health insurance.
Other | If you are taking part in an optional internship or other component to your program not already listed, you can include it here.
TOTAL | This should automatically total for you in this excel spreadsheet.
Spreadsheet: 177858d1346477416-vlookup-and-concatenate-vlookupandcon
Sheet: Final

Number
 | WireSize
1
3
5
7
9
11
13
15
17
19
21
23
25
27
29
31
33
35
37
39
41
Spreadsheet: 703860d1605196552-possible-vlookup-badge1test
Sheet: Sheet1

2020-11-09 07:50:54 | [NAME], [NAME] | 1001100 | [NAME], [NAME]
2020-11-09 08:31:32 | Green Junior, [NAME] | 40175 | Green Junior, [NAME]
2020-11-09 08:56:40 | [NAME], [NAME] | 1579 | [NAME], [NAME]