tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 0144f649-7a28-4bcf-a0bf-03172bc370e3
Sheet: Total Graduates

 | 1960 | 1961 | 1962 | 1963 | 1964 | 1965 | 1966 | 1967 | 1968 | 1969 | 1970 | 1971 | 1972 | 1973 | 1974 | 1975 | 1976 | 1977 | 1978 | 1979 | 1980 | 1981 | 1982 | 1983 | 1984 | 1985 | 1986 | 1987 | 1988 | 1989 | 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011
Total Bachelor Graduates | 6219 | 5812 | 6642 | 7856 | 8820 | 10355 | 13730 | 19187 | 21616 | 25782 | 26151 | 28200 | 29930 | 34246 | 37694 | 40967 | 45669 | 46672 | 47856 | 50956 | 50682 | 50457 | 53299 | 56358 | 58889 | 61951 | 62611 | 64605 | 66340 | 68413 | 76586 | 85229 | 92415 | 98825 | 107409 | 110633 | 116493 | 132029 | 139272 | 161933 | 195214 | 248740 | 304520 | 333127 | 367306 | 383059 | 399103 | 400299
Total Masters Graduates | 205 | 113 | 172 | 336 | 427 | 364 | 406 | 465 | 535 | 705 | 802 | 972 | 1120 | 1153 | 1134 | 1410 | 1822 | 1968 | 2298 | 2150 | 2372 | 2614 | 3111 | 3538 | 4123 | 4715 | 5092 | 5601 | 6197 | 6993 | 7789 | 9415 | 11140 | 13032 | 14582 | 15732 | 16767 | 17839 | 19020 | 21255 | 26517 | 33269 | 40386 | 47542 | 56792 | 61649 | 67106 | 73160
Total PhD Graduates | 2 | 0 | 1 | 1 | 1 | 1 | 3 | 1 | 7 | 11 | 24 | 23 | 22 | 43 | 38 | 43 | 43 | 59 | 36 | 59 | 76 | 98 | 118 | 151 | 207 | 196 | 291 | 343 | 366 | 472 | 603 | 672 | 770 | 893 | 938 | 1173 | 1312 | 1401 | 1433 | 1606 | 1654 | 1687 | 1982 | 2223 | 2466 | 2991 | 3310 | 3635
Spreadsheet: 0d627491-db24-4b02-8472-6c73520302ea
Sheet: Meeting needs

Survey of all Currently enrolled students Fall 2013 -- Meeting Needs
How would you rate your FRCC experience so far? | [NAME] |  | Brighton |  | CCCS Online |  | Larimer |  | FRCC Online |  | Westminster |  | Total
Very Good | 169 |  | 6 |  | 49 |  | 252 |  | 101 |  | 300
Good | 171 |  | 8 |  | 63 |  | 280 |  | 133 |  | 358
Poor | 12 |  | 1 |  | 13 |  | 13 |  | 12 |  | 22
Very Poor | 6 |  |  |  | 4 |  | 2 |  | 7 |  | 7
Total
Percent of Good or Very Good
Percent of question Respondents who agree with the following: | [NAME] |  | Brighton |  | CCCS Online |  | Larimer |  | FRCC Online |  | Westminster |  | Total
Instructional program is meeting your educational goals. | 336 | 0.9385474860335195 | 12 | 0.8 | 113 | 0.8625954198473282 | 524 | 0.9458483754512634 | 229 | 0.9051383399209486 | 647 | 0.9376811594202898
Is the use of technology helping you learn at FRCC? | 321 | 0.8941504178272982 | 15 | 1 | 118 | 0.9007633587786259 | 508 | 0.9253187613843352 | 237 | 0.948 | 627 | 0.91399416909621
Are the Technology skills you are learning complete and up-to-date? | 314 | 0.8997134670487106 | 14 | 0.9333333333333332 | 112 | 0.8682170542635659 | 498 | 0.9154411764705883 | 230 | 0.92 | 620 | 0.9185185185185185
Faculty promote cultural diversity awareness and learning in the classroom | [NAME] |  | Brighton |  | CCCS Online |  | Larimer |  | FRCC Online |  | Westminster |  | Total
Not enough | 17 |  |  |  | 9 |  | 45 |  | 16 |  | 50
About right amount | 274 |  | 12 |  | 69 |  | 373 |  | 158 |  | 484
Too much | 11 |  |  |  | 5 |  | 6 |  | 2 |  | 11
Don't know/ don't care | 57 |  | 3 |  | 46 |  | 124 |  | 73 |  | 138
FRCC student life has programs that promote campus cultural diversity awareness and learning | [NAME] |  | Brighton |  | CCCS Online |  | Larimer |  | FRCC Online |  | Westminster |  | Total
Not enough | 29 |  | 1 |  | 11 |  | 44 |  | 15 |  | 48
About right amount | 188 |  | 7 |  | 38 |  | 268 |  | 109 |  | 331
Too much | 12 |  |  |  | 2 |  | 12 |  |  |  | 10
Don't know/ don't care | 128 |  | 7 |  | 78 |  | 218 |  | 123 |  | 292
When do you prefer to take classes: | [NAME] |  | Brighton |  | CCCS Online |  | Larimer |  | FRCC Online |  | Westminster |  | Total |  | Campuses vary on when they prefer to take their courses, with the online students most likely to want evening/weekend classes.
Mornings | 259 |  | 9 |  | 52 |  | 371 |  | 105 |  | 443
Afternoons | 224 |  | 11 |  | 53 |  | 333 |  | 103 |  | 399
Evenings | 114 |  | 7 |  | 84 |  | 174 |  | 159 |  | 259
Weekends | 39 |  | 1 |  | 46 |  | 43 |  | 84 |  | 60
Total (can choose multiples)
Spreadsheet: 268533d1380669173-track-employees-which-cross-shifts-and-counted-one-time-each-shift-posted_test
Sheet: Sheet1

 |  | In
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 |  | Out | 09:00:00
 |  | In
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 |  | In | 16:00:00
 |  | Out | 21:00:00
 |  | In | 07:00:00
 |  | Out | 00:30:00
 |  | In | 07:00:00
 |  | Out | 00:30:00
 | 7am 11am
 | 11am 4pm
 | 4pm 9pm
 | 9pm 12:30am
Spreadsheet: 148933d1333621913-generate-auto-id-book1_shazz
Sheet: Sheet1

Auto ID | Header 1
CPSDF0001 | ABC1
CPSDF0002 | [NAME]
CPSDF0003 | ABC3
CPSDF0004 | [NAME]
CPSDF0005 | 1
CPSDF0006 | ABC6
CPSDF0007 | ABC7
CPSDF0008 | ABC9
CPSDF0009 | ABC10
CPSDF0010 | ABC11
CPSDF0011 | ABC12
CPSDF0012 | ABC13
CPSDF0013 | ABC16
CPSDF0014 | ABC17
CPSDF0015 | ABC18
CPSDF0016 | ABC19
CPSDF0017 | ABC20
Spreadsheet: 96242d1295636345-vlookup-two-criteria-to-return-value-example
Sheet: Actuals

Customer | Sales Team | Product Description | Item # | Actuals
Target | East | TV | 975 | 25
Walmart | Midwest | Stereo | 12785 | 18
Best Buy | Midwest | Computer | 12451 | 34
Target | South | Vaccuum | 15432 | 16
Walmart | West | Phone | 14231 | 15
Spreadsheet: 04ac40d8-7e78-4352-97ce-9873fa4e62e3
Sheet: 4.2(AC) Major Group Enroll-Grad

Institution
Indicator 4: Student Enrollment and Graduation by Major Group
Table 4.2(AC): Major Group Fall Enrollment, Graduation & Post-Graduate / AY 2010-11
 | Major Group | AC - Accounting
 | Please enter the number of students enrolled in this major group for the fall semester.
 |  |  |  |  | Fall 2010 (October 15, 2010)
 | Fall Enrollment (Snapshot) |  | American Indian |  | Non-Indian
 |  |  | M | F | M | F | Total
 |  | Full Time | 0 | 19 | 0 | 2
 |  | Part Time | 0 | 14 | 0 | 0
 |  | Total
 | Please enter the number of diploma, certificates, and degrees earned in this major group.  Also enter the number of students graduating with degrees who earned a GPA of 3.0 or above, and the number who were admitted to a 4 year (Associate degree graduates), or graduate school (Bachelor's degree graduates).  Lastly, enter the number of all graduating students(certificate or degree) who secured employment after graduation.
 |  |  |  |  | July 1, 2010- June 30, 2011
 | Graduation |  | American Indian |  | Non-Indian
 |  |  | M | F | M | F | Total
Apprenticeship/Occupational Program |  |  | na | na | na | na
Diploma |  |  | na | na | na | na
Certificate |  |  | na | na | na | na
Associate Degree |  |  | 2 | 10 | 0 | 1
 | Assoc. graduates admitted to four-year program |  | 0 | 0 | 0 | 0
 | [NAME]. graduated with a GPA of 3.0 or above |  | 1 | 4 | 0 | 1
Bachelor's Degree |  |  | na | na | na | na
 | [NAME]. graduates admitted to graduate school |  | na | na | na | na
 | [NAME]. graduated with a GPA of 3.0 or above |  | na | na | na | na
Master's Degree |  |  | na | na | na | na
Employed after graduation |  |  | m | m | m | m
Notes:
na = not offered; m = not tracked
Spreadsheet: 93cad192-1b62-486f-84db-fafe11d73c46
Sheet: Sheet1

Adresseliste fra www.proff.no | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7
Bransje:Regnskapstjenester
FIRMANAVN | ADRESSE | POSTNR. | POSTSTED | TELEFON | TELEFAKS
Regnskapservice Vest AS |  | 5336 | [NAME] | 56 33 72 44
Trenger du oppdaterte adresselister til DM /TM? [NAME] (www.forvalt.no) tilbyr ett segmenterings- og uttekksverktøy hvor du [NAME] frem til din målgruppe og eksportere lister til Excel. Du kan gjøre oppslag så ofte du vil, med en begrensning på 3500 selskap per søk. Våre telefonnummere er hentet fra Telefonkatalogen og [NAME].  Med segmenteringsverktøy kan du: - Hente ut adresseliste før en DM utsendelse - Lage ringelister - Hente ut bransjestatistikker - Oppdatere din kundedatabase  Se http://forvalt.no/segmenteringsverktoy/
Spreadsheet: 117125d1312467004-selective-columns-farthingstone-updated-old-format-
Sheet: UnOFF H'caps

 |  | off H'cap | adj | h'cap |  | SCORES | POST | A | Cut (a) | Cut (a+b) | Increase | TOTAL | New Adj | New H'Cap
0 | Adams. [NAME]
 | Adams. [NAME]
 | Addison. [NAME]
 | [NAME]. [NAME] |  | 0
 | Ankers. Neville
 | Atkins. [NAME]
 | [NAME]. [NAME]
 | Bartram. [NAME]
 | Basil. Greg
 | Batterbee. [NAME]
 | Baxter. [NAME]
 | Baxter. [NAME]
 | Beadsmore. Russ |  | 0
 | Beeston. [NAME]
 | Biggins. Clive
 | Biggins. Sue
 | Bradley. [NAME]
 | [NAME]. [NAME]
 | Bromley. [NAME]
 | [NAME]. [NAME] |  | 0
 | [NAME]. Hamon
 | Clarke. [NAME]
 | Curt. Sean |  | 0
 | Davey. [NAME]
 | [NAME]. Martyn |  | 0
 | Dooley. [NAME]
 | [NAME]. [NAME]
 | Giboin. [NAME]
 | Goodall. [NAME]
 | [NAME]. [NAME]
 | Grout. [NAME]
 | Haines. [NAME]
 | Hubband. [NAME]
 | Huckstepp. [NAME]
 | Hutchinson. [NAME] |  | 0
 | Hutton. [NAME]
 | [NAME]. [NAME] |  | 0
 | Kelly. [NAME]
 | [NAME]. [NAME] |  | 0
 | [NAME]. [NAME]
 | [NAME]. [NAME]
 | Kolek. Darren
 | [NAME]. [NAME]
 | Leadbetter. [NAME]
 | Leadbetter. [NAME]
 | Leech. [NAME]
 | Leech. [NAME]
 | Lewis. [NAME]
 | Loom. [NAME]
 | [NAME]. [NAME]
 | Mackenzie. [NAME]
 | Manktelow. Trevor
 | [NAME]. [NAME]
 | Marvesley. [NAME]
 | McFaddon. [NAME]
 | McKenzie. [NAME]
 | [NAME]. [NAME]
 | Mitchell. [NAME]
 | Morgan. Rhys
 | Moriarty. [NAME]
 | Munting. [NAME]
 | [NAME]. [NAME]
 | [NAME]. [NAME]
 | Noons. con
 | Noons. Martin
 | O'Grady. Eddie |  | 0
 | [NAME]. Greg
 | Parrish. [NAME] |  | 0
 | Parsonage. Eddie
 | Pearee. [NAME]
 | Pearce. [NAME]
 | Pennington. Carol
 | Power. [NAME] |  | 0
 | Pym. [NAME]
 | [NAME]. Ian
 | Redondo. [NAME] |  | 0
 | Reynolds. [NAME] |  | 0
 | Rondeau. Gene |  | 0
 | [NAME]. [NAME] |  | 0
 | Scott. Bruce
 | Scott. [NAME]
 | Sharp. Ady |  | 0
 | Shaw. [NAME] |  | 0
 | Simmons. [NAME]
 | Smith. [NAME] |  | 0
 | Smith. [NAME]
 | Smith. [NAME]
 | Sweeney. Eddie
 | Sweeney. [NAME]
 | Thompson. [NAME]
 | Thorpe. [NAME]
 | Umney. [NAME]
 | [NAME]. [NAME]
 | Watson. [NAME] |  | 0
 | [NAME]. [NAME]
 | Weed. [NAME]
 | [NAME]. [NAME]
 | [NAME]. [NAME] |  | 0
 | Woodford. [NAME]
 | Number of Players
 | Bottom third |  |  |  |  | 36
 | top two-thirds
Spreadsheet: 542870d1508150044-getting-data-from-one-sheet-to-another-depending-on-two-text-values-incident-summary-dummy
Sheet: Summary

 | Windscreen |  | RTA |  | Property Damage (Wall, gate etc.) |  | [NAME] |  | Vehicle Sunk |  | Vehicle Overturned |  | [NAME] |  | Smashed Mirror |  | [NAME] (Puncture, side wall etc.)
Driver | No. Incidents | Total £ | No. Incidents | Total £ | No. Incidents | Total £ | No. Incidents | Total £ | No. Incidents | Total £ | No. Incidents | Total £ | No. Incidents | Total £ | No. Incidents | Total £ | No. Incidents | Total £
[NAME] | 2 | 50
[NAME] |  |  | 2 | 450
[NAME] |  |  |  |  | 2 | 500
[NAME] | 1 |  |  | 50 |  |  |  |  |  |  |  |  | 1 | 500
[NAME] |  |  | 1 | 200 |  |  |  |  |  |  |  |  | 1 | 100
[NAME] | 1 | 50 |  |  | 1 | 500
[NAME] | 2 | 70
[NAME] | 1 | 20 | 1 | 3000
[NAME] |  |  |  |  | 2 | 100
[NAME] | 1 | 50 |  |  | 1 | 300
[NAME] |  |  | 1 | 100 | 1 | 400
[NAME] | 1 | 50 |  |  | 1 | 100
[NAME]
[NAME]
[NAME]
[NAME]
[NAME]
[NAME]
[NAME]
[NAME]
Ulysses Smith
[NAME]
[NAME]
[NAME]
[NAME]
Company Total:
Company - Total Incidents
Company - Total Cost
Spreadsheet: 107687d1304800797-predictive-stock-stock-management_2
Sheet: Transactions

Product | Date | Stock_Transaction | Day | Month
Milkshake | 2010-12-01 00:00:00 | 110
Chocolate | 2010-12-01 00:00:00 | 20
[NAME] | 2010-12-01 00:00:00 | 100
Milkshake | 2010-12-05 00:00:00 | -10
Chocolate | 2010-12-05 00:00:00 | -5
Chocolate | 2011-01-01 00:00:00 | -10
Milkshake | 2011-01-01 00:00:00 | -40
Chocolate | 2011-01-03 00:00:00 | 100
Chocolate | 2011-01-04 00:00:00 | -2
Chocolate | 2011-01-05 00:00:00 | -3
Milkshake | 2011-01-02 00:00:00 | -5
Milkshake | 2011-01-03 00:00:00 | -10
Milkshake | 2011-02-01 00:00:00 | 100
Spreadsheet: 154534d1336479372-returning-an-array-of-lookup-values-from-an-input-array-rather-than-single-value-jase250_sampleworkbook_08may12_01
Sheet: Sheet1

Lookup_Items | Lookup_Value |  |  |  |  |  |  |  | Lookup_Table
Item2 | Value_10 |  |  |  |  |  |  | Lookup_Row -> |  | Item1 | Item2 | Item3 | Item4 | Item5 | Item6 | Item7 | Item8 | Item9 | Item10
Item4 |  |  |  |  |  |  |  |  | Value1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0
Item6 |  |  |  |  |  |  |  |  | Value2 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 1
Item7 |  |  |  |  |  |  |  |  | Value3 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1
 |  |  |  |  |  |  |  |  | Value4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0
[NAME] |  | Result |  | Count of items (4 means array has been returned) |  |  |  |  | Value5 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1
{=MATCH(Lookup_Items,Lookup_Row,0)} |  |  |  |  | (this is an array of the column numbers) |  |  |  | Value6 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1
{=INDEX(Lookup_Table,11,MATCH(Lookup_Items,Lookup_Row,0))} |  |  |  |  | (only the first item in the array is matched) |  |  |  | Value7 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 1
 |  |  |  |  |  |  |  |  | Value8 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0
 |  |  |  |  |  |  |  |  | Value9 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0
 |  |  |  |  |  |  |  |  | Value10 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0
 |  |  |  |  |  |  |  |  | Value11 | 0 | [NAME] | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 1
 |  |  |  |  |  |  |  |  | Value12 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1
 |  |  |  |  |  |  |  |  | Value13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0
 |  |  |  |  |  |  |  |  | Value14 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 0
 |  |  |  |  |  |  |  |  | Value15 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0
Spreadsheet: 775324d1649022399-merge-worksheets-into-one-pq-merged-data-tabs
Sheet: Sheet1

Year | Emp Dept ID | First Name | Last Name | Area | Performance | Data 2.Area | Data 2.Grade 1 | Data 2.Grade 2 | Data 2.Grade 3 | Data 3.Emp Org ID | Data 3.Assignment | Data 3.Pay Grade 1 | Data 3.Pay Grade 2 | Data 3.Pay Grade 3
2021 | 1 | [NAME] | Amber | Customer Support | 30 | Customer Support |  | 1 |  | 11 | Internal | 1 | 2 | 3
2021 | 2 | [NAME] | Toi | Data | 15 | Data |  |  | 1 | 22 | Internal | 4 | 5 | 6
2021 | 3 | [NAME] | Pane | Customer Support | 90 | Customer Support |  | 1 |  | 33 | Internal | 7 | 8 | 9
2021 | 4 | [NAME] | Pan | International | 99 | International | 1 |  |  | 44 | Internal | 10 | 11 | 12
2021 | 5 | [NAME] | [NAME] | Data | 10 | Data | 1 |  |  | 55 | Internal | 13 | 14 | 15
Spreadsheet: 271465d1381945602-specific-column-reference-based-on-value-to-percentile-referencespecificcolumnpercentilefix2
Sheet: Sheet1

 | Start | End
 | 2013-01-01 00:00:00 | 2013-12-01 00:00:00
 | 2012-10-01 00:00:00 | 2012-11-01 00:00:00 | 2012-12-01 00:00:00 | 2013-01-01 00:00:00 | 2013-02-01 00:00:00 | 2013-03-01 00:00:00 | 2013-04-01 00:00:00 | 2013-05-01 00:00:00 | 2013-06-01 00:00:00 | 2013-07-01 00:00:00 | 2013-08-01 00:00:00 | 2013-09-01 00:00:00 | 2013-10-01 00:00:00 | 2013-11-01 00:00:00 | 2013-12-01 00:00:00 | 2014-01-01 00:00:00 | 2014-02-01 00:00:00 | Sum of Start End
[NAME] | 13.02694278983051 | 23.67485454794521 | 10.90756611202186 | 11.58097880295566 | 12.8176553735955 | 11.35425106615776 | 11.70760461690141 | 11.56641182474227 | 12.42162109668508 | 12.64380839852399 | 13.31079530124224 | 14.01323033442623 | 12.54919340019194 | 12.12367847534517 | 11.77322293326886 | 11.76920542412451 | 11.07744950409165
Area2 | 8.566582074148295 | 9.844420428571429 | 13.99143811077844 | 10.71300740740741 | 10.5318300917603 | 10.2104252854641 | 11.15371493555094 | 10.2416880890538 | 10.21258896387833 | 12.22715425686274 | 11.57855511552346 | 11.5704158522073 | 19.51203666225165 | 18.029007216 | 19.78712142335766 | 17.03136241509434 | 19.809903748503
Area3 | 12.55976635400517 | 11.23616014179104 | 11.34052563736264 | 11.33661054700855 | 11.00523796491228 | 10.73419414371257 | 11.50370095873786 | 13.13694637740384 | 12.64402993489583 | 12.59815661893204 | 12.09467881707317 | 13.9886610166113 | 12.54919340019194 | 12.12367847534517 | 11.77322293326886 | 12.96660224516129 | 16.651206424
Spreadsheet: 864367d1711560304-i-need-help-creating-a-formula-that-shows-arrival-and-departure-dates-based-on-data-set-arrival-departure-date-example-workbook2
Sheet: Sheet2

2024-04-25 00:00:00 | 2024-04-26 00:00:00 | 2024-04-27 00:00:00 |  | Total |  | [NAME] | Departure
1 | 1 | 1 |  | 3 |  | 2024-04-25 00:00:00 | 2024-04-28 00:00:00
1 | 1 | 1 |  | 3
1 | 1 | 1 |  | 3
1 | 1 |  |  | 3
1 | 1 | 1 |  | 3
1 |  |  |  | 3 |  | 2024-04-25 00:00:00 | 2024-04-26 00:00:00
1 | 1 | 1 |  | 3
1 | 1 | 1 |  | 3
1 | 1 |  |  | 3
1 | 1 |  |  | 3
1 | 1 |  |  | 3
1 | 1 | 1 |  | 3
1 | 1 | 1 |  | 3
1 |  |  |  | 3
1 |  |  |  | 3
1 | 1 | 1 |  | 3
1 | 1 | 1 |  | 3
1 | 1 | 1 |  | 3
1 |  |  |  | 3
Spreadsheet: vkaminski__40923__Nordic_VAR_Module
Sheet: Correlations

 | Finland:Day: | Finland:Night: | Smestad:Day: | Smestad:Night: | Strinda:Day: | Strinda:Night: | Sweden:Day: | Sweden:Night: | System:Day: | System:Night: | Tromso:Day: | Tromso:Night:
Finland:Day: | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1
Finland:Night: | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1
Smestad:Day: | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1
Smestad:Night: | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1
Strinda:Day: | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1
Strinda:Night: | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1
Sweden:Day: | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1
Sweden:Night: | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1
System:Day: | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1
System:Night: | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1
Tromso:Day: | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1
Tromso:Night: | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1
Spreadsheet: 63150d1264094688-if-formula-missing-something-service-lenth
Sheet: Sheet1

24 hour 16/19/27 days holiday
Last Name | First Name | START Date | Years Service | holidays entitlement  days
A |  | 1990-05-03 00:00:00 | 19 years, 8 months | =IF(SUM(c3),LOOKUP(DATEDIF($c3,NOW(),"y"),(0,3,),(0,3,)),"")
B |  | 2005-09-05 00:00:00 | 4 years, 4 months | 16
C |  | 1990-05-05 00:00:00 | 19 years, 8 months | 16
D |  | 2009-01-01 00:00:00 | 1 years, 0 months | 16
E |  | 1990-10-25 00:00:00 | 19 years, 2 months | 16
37 hour 22/27 days holiday not include B/H
Last Name | First Name | START Date | Years Service | holidays entitlement  days
A |  | 1990-05-03 00:00:00 | 19 years, 8 months | 22
B |  | 2005-09-05 00:00:00 | 4 years, 4 months | 22
C |  | 1990-05-05 00:00:00 | 19 years, 8 months | 22
D |  | 2009-01-01 00:00:00 | 1 years, 0 months | 22
E |  | 1990-10-25 00:00:00 | 19 years, 2 months | 22
Spreadsheet: 825360d1681277801-data-validation-and-dropdown-lists-book1-data-ans
Sheet: Sheet1

 |  | Job |  |  | Phase
 |  | A |  |  | Planning
 |  | B |  |  | Fieldwork
 |  | C | Planning |  | Completion
 |  | [NAME]
 |  | A | Planning
 |  | A | Fieldwork
 |  | A | Completion
 |  | B | Planning
 |  | B | Fieldwork
 |  | B | Completion
 |  | C | Planning
 |  | C | Fieldwork
 |  | C | Completion
Spreadsheet: 878689d1725948982-number-of-products-from-different-companies-metrostar-excel0910-reduce-365-aligw
Sheet: Sheet1

Company | Product |  |  | Company | A1 | B1 | C1
X | A1 |  |  | X
X | B1 |  |  | A
X | B1 |  |  | B
A | C1
A | A1
B | C1
B | A1 |  |  |  | A1 | B1 | C1
B | B1 |  |  | A | 1 | 0 | 1
B | B1 |  |  | B | 1 | 2 | 1
 |  |  |  | X | 1 | 2 | 0
Spreadsheet: 271291d1381896641-sum-with-blank-cell-that-has-if-formula-wip-calculator
Sheet: December

***Balance Sheet is the "holder" of the WIP number.  It should always match report total.
Period 12 | December | Work In Progress Report
 |  | A | B | C | D | E | F | G | H | J
 |  | Job ID | Contract price | Esimated Job Cost Expenses | Estimated GP% | Total Actual Job Cost to date | % of completion of each job in accounting | Earned Revenue | TOTAL Invoiced to Client to date | Over(-) or [NAME]) Status
 |  | Report Total
 |  | Once you have given your final invoice for a project, take the project off this report. |  |  |  |  |  | Report Status
 |  |  |  |  |  |  |  | Prior Period to adjust
Entries for BN Numbers
Period 12 | December |  |  | Enter the amount showing on line #3 of the appropriate 'Profit Center' in the 'Profit Center" tab.
 |  |  |  | Enter this amount on line #3 of the 'Balance Sheet' in the 'Financial Data" tab.
 |  |  |  | Enter this amount on line #13 of the 'Balance Sheet' in the 'Financial Data" tab.
Journal Entries for Accounting Software
Period 12 | December |  | Journal Entry      Dated December 31
 |  |  | G/L Account |  | Debit | Credit
 |  |  | WIP Income Acct
 |  |  | WIP Asset Acct
 |  |  | !!!REVERSE JOURNAL ENTRY!!!      Dated January 1
 |  |  | G/L Account |  | Debit | Credit
 |  |  | WIP Income Acct
 |  |  | WIP Asset Acct
 |  |  | Journal Entry      Dated December 31
 |  |  | G/L Account |  | Debit | Credit
 |  |  |  | WIP Income Acct
 |  |  |  | WIP Liability Acct
 |  |  | !!!REVERSE JOURNAL ENTRY!!!      Dated January 1
 |  |  | G/L Account |  | Debit | Credit
 |  |  |  | WIP Income Acct
 |  |  |  | WIP Liability Acct
Spreadsheet: 107696d1304819037-return-corresponding-value-from-a-different-column-sample
Sheet: Top and Bottom 10

Top 10
Data1 |  | Data2 |  | Data3 |  | Data4 |  | Data5 |  | Data6 |  | Data7 |  | Data8 |  | Data9 |  | Data10 |  | Data11 |  | Data12 |  | Data13 |  | Data14 |  | Data15 |  |  |  |  |  | Data18
Unit | Result | Unit | Result | Unit | Result | Unit | Result | Unit | Result | Unit | Result | Unit | Result | Unit | Result | Unit | Result | Unit | Result | Unit | Result | Unit | Result | Unit | Result | Unit | Result | Unit | Result | Unit | Result | Unit | Result | Unit | Result
 | 0.160187236316216
 | 0.09827477760124982
 | 0.05674579283068384
 | 0.005855204095125305
 | 2.41149744103949e-05
 | 1.536730706845413e-05
 | 8.386446328630446e-06
 | -0.001727721321523645
 | -0.007771812159968263
 | -0.01867083654891448
Bottom 10
Data1 |  | Data2 |  | Data3 |  | Data4 |  | Data5 |  | Data6 |  | Data7 |  | Data8 |  | Data9 |  | Data10 |  | Data11 |  | Data12 |  | Data13 |  | Data14 |  | Data15 |  |  |  |  |  | Data18
Unit | Result | Unit | Result | Unit | Result | Unit | Result | Unit | Result | Unit | Result | Unit | Result | Unit | Result | Unit | Result | Unit | Result | Unit | Result | Unit | Result | Unit | Result | Unit | Result | Unit | Result | Unit | Result | Unit | Result | Unit | Result
 | -0.3351894575070214
 | -0.2716059761225831
 | -0.2531387422545371
 | -0.2331452057705306
 | -0.2275566758468987
 | -0.2092676948176848
 | -0.1969559450467402
 | -0.191942484332738
 | -0.1795173032956796
 | -0.1759227821479042
Spreadsheet: 06ad82ab-eb96-448e-84ef-5c6a645d602a
Sheet: Bid Opening List

CITY OF GLENDORA
RFQ REGISTER
The following sealed packets were received by the hour of 10:00 a.m. on November 5, 2013, for the project shown below.
 | Please Note:  [NAME] received late will not be opened.
Project Name: |  | Water Line Parts and Supplies
Project Manager: |  | [NAME] |  | Project Manager [NAME]: (626) 335-6175
City Clerk's Office Representative certifying:
[NAME], Administrative Assistant
[NAME], lead worker and [NAME], Management Analyst
# | [NAME] |  |  | Date & Time Packet Received |  | To Project Mgr. - Date/Time
1 | Western Water Works Supply Company |  |  | 10-30-2013 @3:57p.m.
2 | S & J Supply Co. Inc. |  |  | 11-5-2013 @9:50a.m.
3 | [NAME] |  |  | 11-5-2013 @9:53a.m.
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Packets Received Late:
# | [NAME] |  | Date & Time Bid Received | # | [NAME] |  | Date & Time Bid Received
1 |  |  |  | 2
Packets given to: __________________________ |  |  |  |  | Date: ______________________________
Received by:  __________________________________________
 | (Signature)
 |  |  |  |  | (RFQ Register Continued)
# | [NAME] |  |  | Date & Time Packet Received |  | To Project Mgr. - Date/Time
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