tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 107040d1304200309-huge-data-in-a-column-is-grouped-by-set-need-to-clean-the-data-huge-data-in-a-column-is-grouped-by-set-need-to-clean-the-data
Sheet: Sheet1

 |  | STEP 1
YOUR DATA |  | Letter | Value |  | Hide Blanc cells by unchecking "Blanks"
a
156
125
789
b
21
125
12589
2155
c
215 |  |  |  |  |  |  |  |  |  |  |  |  | Scroll Down
22
4
66
d
215
22
4
66
e
21
125
12589
2155
f
156
125
789
 |  |  |  |  | Then just copy filtered data )))
 |  |  |  |  | a | 156
 |  |  |  |  | a | 125
 |  |  |  |  | a | 789
 |  |  |  |  | b | 21
 |  |  |  |  | b | 125
 |  |  |  |  | b | 12589
 |  |  |  |  | b | 2155
 |  |  |  |  | c | 215
 |  |  |  |  | c | 22
 |  |  |  |  | c | 4
 |  |  |  |  | c | 66
 |  |  |  |  | d | 215
 |  |  |  |  | d | 22
 |  |  |  |  | d | 4
 |  |  |  |  | d | 66
 |  |  |  |  | e | 21
 |  |  |  |  | e | 125
 |  |  |  |  | e | 12589
 |  |  |  |  | e | 2155
 |  |  |  |  | f | 156
 |  |  |  |  | f | 125
 |  |  |  |  | f | 789
Spreadsheet: 355980d1414890105-identifying-record-performance-numbers-details-inside-this-one-will-be-fun-running-ndm
Sheet: Sheet1

Date | Distance (miles) | Records | Between Records | % of record
2014-01-01 00:00:00 | 1.130577939907049 |  |  |  |  | count of records
2014-01-02 00:00:00 | 2.739895565963044 |  |  |  |  | count of runs
2014-01-03 00:00:00 | 0.5464913722529576 |  |  |  |  | runs per record
2014-01-04 00:00:00 | 0.3522493435884123
2014-01-05 00:00:00 | 1.130577939907049
2014-01-06 00:00:00 | 2.838898122031579
2014-01-07 00:00:00 | 1.29498873475808
2014-01-08 00:00:00 | 1.381655842424312
2014-01-09 00:00:00 | 1.871403821204193
2014-01-10 00:00:00 | 2.838898122031579
2014-01-11 00:00:00 | 2.143546925072586
2014-01-12 00:00:00 | 1.464085695945625
2014-01-13 00:00:00 | 1
2014-01-14 00:00:00 | 0.6830201283771977
2014-01-15 00:00:00 | 3.138336391587003
2014-01-16 00:00:00 | 1
2014-01-17 00:00:00 | 2.423446866642653
2014-01-18 00:00:00 | 2.423446866642653
2014-01-19 00:00:00 | 3.209595590412451
2014-01-20 00:00:00 | 0.8845033718614886
2014-01-21 00:00:00 | 1.130577939907049
2014-01-22 00:00:00 | 1.464085695945625
2014-01-23 00:00:00 | 0.7722074896557402
2014-01-24 00:00:00 | 1
2014-01-25 00:00:00 | 1.871403821204193
2014-01-26 00:00:00 | 1.130577939907049
2014-01-27 00:00:00 | 2.423446866642653
2014-01-28 00:00:00 | 1.464085695945625
2014-01-29 00:00:00 | 1.562069615988616
2014-01-30 00:00:00 | 1.829855054943345
2014-01-31 00:00:00 | 2.585636023101955
2014-02-01 00:00:00 | 1.333472549425708
2014-02-02 00:00:00 | 2.068793758346347
2014-02-03 00:00:00 | 0.7550629973077781
2014-02-04 00:00:00 | 1.829855054943345
2014-02-05 00:00:00 | 1.464085695945625
2014-02-06 00:00:00 | 0.8536575679962694
2014-02-07 00:00:00 | 2.739895565963044
2014-02-08 00:00:00 | 0.412635413536159
2014-02-09 00:00:00 | 1.939024559759795
2014-02-10 00:00:00 | 0.8536575679962694
2014-02-11 00:00:00 | 1.939024559759794
2014-02-12 00:00:00 | 3.209595590412451
2014-02-13 00:00:00 | 1
2014-02-14 00:00:00 | 3.028891349456477
2014-02-15 00:00:00 | 4.434556499312671
2014-02-16 00:00:00 | 1.562069615988616
2014-02-17 00:00:00 | 2.739895565963044
2014-02-18 00:00:00 | 1.829855054943345
2014-02-19 00:00:00 | 0.5830653016829782
2014-02-20 00:00:00 | 2.068793758346347
2014-02-21 00:00:00 | 1.324392803733674
2014-02-22 00:00:00 | 1.895974482970028
2014-02-23 00:00:00 | 1.249827834539068
2014-02-24 00:00:00 | 2.423446866642653
2014-02-25 00:00:00 | 1.655262989969583
2014-02-26 00:00:00 | 2.338932585403773
2014-02-27 00:00:00 | 1.171429900571525
2014-02-28 00:00:00 | 0.8536575679962694
Spreadsheet: 846233d1697510592-listng-team-wise-names-from-a-list-bebo021999
Sheet: Sheet1

Sno | Name | Department | Designation | Category | Team
1 | Naveena | Administration | Accountant | A | IPL-D
2 | Nandini | Housekeeping | Supervisor - Housekeeping | B | IPL-C
3 | Satish | Operations | Supervisor - Operations | D | IPL-B
4 | Sunil | Inpark Sales | Assistant Manager - Revenue Operations | D | IPL-A
5 | Basavaraj | Inpark Sales | Executive - Inpark Sales | E | IPL-C
6 | Manjunath | Maintenance | Manager - Maintenance | F | IPL-D
7 | Devaraju | Maintenance | Assistant Manager - Maintenance | G | IPL-C
8 | Girish | Maintenance | Assistant Manager - Stores | G | IPL-B
9 | Madhu | Maintenance | Executive - Maintenance | G | IPL-B
10 | Raju | Maintenance | Executive - Maintenance | G | IPL-A
11 | Ravikiran | Maintenance | Assistant Manager -Maintenance | G | IPL-A
12 | Meghana | Marketing | Digital Marketing Specialist | H | IPL-D
13 | Veena | Operations | Assistant Manager-Snow Park Operations | I | IPL-A
14 | [NAME] (FnB) | Restaurant | Assistant [NAME] | J | IPL-B
15 | Venkatesh H P | Restaurant | Executive - F & B | J | IPL-C
16 | Venkatesh B | Sales | Area Sales Manager (Off: [PHONE]) | K | IPL-D
At I3 | IFERROR(INDEX($F$2:$F$17,MATCH(0,INDEX(COUNTIF($H$3:H3,$F$2:$F$17),),0)),"")
At I4 | IFERROR(INDEX($B:$B,AGGREGATE(15,6,ROW($F$2:$F$17)/($F$2:$F$17=I$3),ROWS($1:1))),"")
Spreadsheet: 858712d1707298162-redistribute-data-contained-in-a-single-cell-to-multiple-cells-exampledata
Sheet: Sheet2

 | AAAAAA
1 | BBBBBB
2 | AAAAAA
2 | BBBBBB
2 | CCCCCC
2 | [NAME]
3 | [NAME]
4 | YYYYYYY
4 | ZZZZZZZ
5 | FFFFFFF
5 | GGGGG
5 | HHHHH
Spreadsheet: michelle_lokay__26556__imbalsumm0012
Sheet: PG&E

56698
Day | Scheduled | Measured
1 | 275537 | 278613
2 | 262499 | 267365
3 | 278050 | 280155
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
2000-11-30 00:00:00 |  |  | 159788
2000-12-03 00:00:00
Spreadsheet: john_hodge__16417__VirginaCustomers
Sheet: Sheet1

MONTH |  | Est. Usage in dth/month | Est. Usage in dth/month
 |  | Op10-30 | Op10-31
2000-11-01 00:00:00 |  | 8995 | 1585
2000-12-01 00:00:00 |  | 9587 | 2726
2000-01-01 00:00:00 |  | 8764 | 2325
2000-02-01 00:00:00 |  | 8988 | 2143
2000-03-01 00:00:00 |  | 8420 | 3708
Spreadsheet: 33151d1229445977-entering-a-formula-after-a-random-range-test15
Sheet: Sheet1

Time | Y/N | Entering Point
08:35:00 | Blank
08:40:00 | Blank
08:45:00 | N
08:50:00 | N
08:55:00 | Y
09:00:00 | Blank
09:05:00 | Blank
09:10:00 | Blank
Spreadsheet: 474115d1470648823-ocean-tides-calculator-tide-calculation_test-1
Sheet: Tide Calculation

A Day of Tides
Location: |  |  | Input Tide data |  |  |  |  |  | Auxiliary calculations
Latitude Longitude:
 |  | Date | Military Time | Tide (High or Low) | Tide level (ft)
 |  |  |  |  |  |  | 0
 |  | Mean High Tide
 |  | Mean Low Tide
 |  | Mean Tide Level
Current Date and Time
High Tide Table |  |  |  | Low Tide Table
Spreadsheet: 692011d1598012812-countif-with-age-calculation-based-on-dates-age-groups
Sheet: Sheet1

Date of birth | Date survey | Age |  |  | Age group | # of children in age group
2017-09-27 | 2020-07-12 |  |  |  | > 0 & < 1
2017-07-17 | 2020-07-11 |  |  |  | => 1 & < 2 | 2
2016-11-12 | 2020-07-11 |  |  |  | => 2 & < 3 | 9
2017-12-19 | 2020-07-11 |  |  |  | => 3 & < 4 | 2
2019-04-21 | 2020-07-11 |  |  |  | => 4 & < 5 | 3
2018-11-06 | 2020-07-11
2016-01-05 | 2020-07-11
2018-06-17 | 2020-07-11
2019-07-28 | 2020-07-11
2020-04-18 | 2020-07-11
2015-08-25 | 2020-07-11
2018-02-03 | 2020-07-12
2017-08-15 | 2020-07-12
2017-12-21 | 2020-07-15
2015-12-10 | 2020-07-15
2017-04-18 | 2020-07-15
2020-07-14 | 2020-07-14
2018-04-14 | 2020-07-14
2018-04-04 | 2018-04-28
2018-06-06 | 2020-07-14
2019-07-31 | 2020-07-15
2020-02-04 | 2020-07-15
Spreadsheet: 833820d1687268504-calculating-gross-profit-after-customer-discount-calculating-gross-profit-after-customer-discount
Sheet: Sheet1

 | Calculating Gross Profit % after customer Discount
 | [NAME]
 | Selling Price | SP
 | Discount | DC |  |  | 0.25 | DC%
 | Net Selling Price | NSP
 | Cost Price | CP |  | 100
 | Gross Profit | GP |  |  | 0.65 | GP%
 |  | GP | = | CP/(1-GP%)-CP
 |  | NSP | = | CP+GP
 |  | SP | = | NSP/(1-DC%)
 |  | SP | = | NSP/(1-DC%)
 |  |  | = | (CP+GP)/(1-DC%)
 |  |  | = | (CP+CP/(1-GP%)-CP)/(1-DC%)
 |  |  | = | (CP/(1-GP%))/(1-DC%)
 |  |  | = | CP/((1-GP%)*(1-DC%))
 |  |  | =
Spreadsheet: b4f07fc3-f7a2-4acb-a450-5e9c28959018
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6
Creative Banquet Table Design
Invoice
Chapter:
Item# | Quantity | [NAME] |  |  | Unit Price | Amount
1 |  |  |  |  |  | 0
2 |  |  |  |  |  | 0
3 |  |  |  |  |  | 0
4 |  |  |  |  |  | 0
5 |  |  |  |  |  | 0
6 |  |  |  |  |  | 0
7 |  |  |  |  |  | 0
8 |  |  |  |  |  | 0
9 |  |  |  |  |  | 0
10 |  |  |  |  |  | 0
11 |  |  |  |  |  | 0
12 |  |  |  |  |  | 0
13 |  |  |  |  |  | 0
14 |  |  |  |  |  | 0
15 |  |  |  |  |  | 0
16 |  |  |  |  |  | 0
17 |  |  |  |  |  | 0
18 |  |  |  |  |  | 0
19 |  |  |  |  |  | 0
20 |  |  |  |  |  | 0
 |  |  |  |  |  | 0
Spreadsheet: 209190d1359038664-how-to-format-spreadsheet-to-change-color-after-x-dates-in-excell-2007-example1
Sheet: Sheet1

2012-03-06 00:00:00 | 2012-10-10 00:00:00 | 2012-12-04 00:00:00 | 2012-12-19 00:00:00
2012-03-16 00:00:00 | TCS | 2012-06-29 00:00:00 | 2012-06-29 00:00:00
2012-10-10 00:00:00 | 2012-10-10 00:00:00 | 2012-09-12 00:00:00 | 2012-10-10 00:00:00
2012-03-13 00:00:00 | 2012-10-10 00:00:00 | 2012-12-04 00:00:00 | 2012-03-26 00:00:00
 |  |  | 2012-11-15 00:00:00
2012-09-12 00:00:00 | 2012-10-10 00:00:00 | 2012-12-18 00:00:00 | 2012-08-03 00:00:00
2012-03-13 00:00:00 | 2012-10-10 00:00:00 | 2012-01-05 00:00:00 | 2013-01-07 00:00:00
2012-03-13 00:00:00 |  | 2013-01-08 00:00:00 | 2013-01-08 00:00:00
2012-03-06 00:00:00 | 2013-01-09 00:00:00 | 2012-02-14 00:00:00 | 2012-07-17 00:00:00
Spreadsheet: 9fd3dd05-a3c3-4b06-b886-fcdbc92f0782
Sheet: 1,7

Cuadro 1.7
[NAME]
Nacimientos ocurridos, por sexo del registrado, según [NAME], 2010
[NAME] | Total | Sexo
 |  | Hombre | Mujer
Total país
Distrito Nacional | 29265 | 14839 | 14426
Azua | 3511 | 1815 | 1696
Baoruco | 1112 | 573 | 539
Barahona | 3161 | 1598 | 1563
Dajabón | 454 | 238 | 216
Duarte | 4084 | 2114 | 1970
[NAME] | 406 | 189 | 217
El Seibo | 679 | 346 | 333
Espaillat | 2339 | 1216 | 1123
[NAME] | 455 | 239 | 216
[NAME] | 3071 | 1564 | 1507
[NAME] | 3205 | 1653 | 1552
[NAME] | 4580 | 2312 | 2268
María [NAME] | 1644 | 855 | 789
Monte Cristi | 727 | 373 | 354
Pedernales | 178 | 85 | 93
Peravia | 1938 | 970 | 968
Puerto Plata | 2875 | 1502 | 1373
[NAME] | 1136 | 573 | 563
Samaná | 1095 | 571 | 524
San Cristóbal | 6397 | 3401 | 2996
San Juan | 2749 | 1426 | 1323
[NAME] | 4239 | 2147 | 2092
[NAME] | 1800 | 940 | 860
Santiago | 14444 | 7413 | 7031
Santiago Rodríguez | 908 | 460 | 448
[NAME] | 1721 | 833 | 888
[NAME] | 2157 | 1053 | 1104
[NAME] | 1015 | 527 | 488
Hato Mayor | 467 | 239 | 228
[NAME] | 487 | 251 | 236
Santo [NAME] | 18850 | 9651 | 9199
No Especificado | 10 | 9 | 1
Nota: Elaborado con datos registrados en las Oficialías del Estado Civil. Junta Central Electoral.
Fuente: Oficina Nacional de Estadística, (ONE).
Spreadsheet: 853721d1703675462-formula-for-total-number-in-diff-column-total-for-each-person
Sheet: Sheet1

Name | Hobby | total 1 | total 2
[NAME] | Football |  |  |  | is there any automation formula in coloumn C & D for Total for each person ?
14 | 2 |  |  |  | currently I only use Manual SUM Function for it
15 | 3
66 | 4
[NAME] | Swimming
15 | 5
16 | 8
[NAME] | Dance
45 | 4
33 | 3
25 | 4
67 | 5
8 | 6
23 | 1
45 | 3
Jhon | Running
15 | 1
Spreadsheet: 02e36d03-14a0-4c29-9e83-502963ef59c7
Sheet: 5-4T

 | Section 5: Fuel Consumption
 | Table 5-4Trend: Vehicle Acquisitions by Fuel Type by Year
 | Fuel Type | 2009 | 2010 | 2011 | 2012 | 2013
 | Gasoline | 31782 | 26547 | 20785 | 15660 | 15994
 | Diesel | 4742 | 4136 | 4422 | 4383 | 4625
 | Gasoline Hybrid | 3959 | 4853 | 3787 | 1254 | 1364
 | Diesel Hybrid | 4 | 27 | 50 | 36 | 51
 | Gasoline LGHG | 0 | 0 | 601 | 745 | 369
 | Diesel LGHG | 0 | 0 | 14 | 10 | 0
 | Gasoline Plug-in Hybrid | 0 | 0 | 6 | 144 | 258
 | CNG | 77 | 60 | 84 | 106 | 123
 | E-85 | 27850 | 26789 | 24785 | 24214 | 21644
 | Electric | 7 | 1376 | 450 | 258 | 284
 | Hydrogen | 1 | 4 | 4 | 0 | 2
 | LPG | 23 | 2 | 11 | 15 | 23
 | Grand Total | 68445 | 63794 | 54999 | 46825 | 44737
 | Note: Pursuant to guidance from the Environmental Protection Agency pertaining to §141 of the Energy Independence and Security Act (EISA), beginning in 2011 petroleum fueled vehicles meeting EPA's definition of low greenhouse gas (LGHG) vehicles may be considered alternative fuel vehicles (AFVs) when acquired for use in locations where alternative fuel is not available. Therefore, although these vehicles consume petroleum, agencies may consider them alternative fuel vehicles in the limited circumstances described.
 | All Vehicles:
 | Alternative Fuel Vehicles Only:
Spreadsheet: 71789d1272503342-value-changes-once-filter-is-removed-sumif
Sheet: Sheet1

Ad Group | Search Query | Cost |  |  | Activities | Activities Elderly
Activities | activities coordinator anchor | 0.99
Activities | community activities cordinator | 0.91
Activities | activity coordinator | 0.83
Activities | activity coordinator ideas | 0.73
Activities | creative therapeutic activities | 0.58
Activities | nvq activities co ordinator | 0.47
Activities | activities coordinator elderly | 0
Activities Elderly | creative activities for the elderly | 1.51
Activities Elderly | caerphilly elderly activities | 1
Activities Elderly | elderly activities ideas | 0.89
Activities Elderly | halifax activity day centres for elderly | 0.86
Activities Elderly | can somebody take my elderly aunt for outings | 0.86
Activities Elderly | activities for dementia sufferers | 0.84
Activities Elderly | social activities for the elderly west midlands | 0.84
Activities Elderly | gentle exercises for the elderly | 0.81
Activities Elderly | seniors exercise class | 0.8
Activities Elderly | activities for the elderly in kensington | 0.8
Activities Elderly | activities for the elderly in tonbridge | 0.8
Activities Elderly | projects with the elderly | 0.8
Activities Elderly | activity holiday for old people | 0.78
 | Activities total total cost
 | Activities Elderly total cost
Spreadsheet: 839987d1692345079-spilling-arrays-and-substitute-substitute-1-
Sheet: Feuil1

list |  | exclude list |  | list input |  | exclude from list list |  |  | list output EXPECTED RESULT
a!aa |  | ! |  |  |  |  |  |  | aaa
bbb |  | , |  | bbb |  | , |  |  | bbb |  | bbb
ccc, |  | % |  | ccc, |  | % |  |  | [NAME] |  | [NAME]
[NAME] |  | ( |  | [NAME] |  | ( |  |  | ddd |  | ddd
eee |  | ) |  | eee |  | ) |  |  | eee |  | eee
Spreadsheet: 775931d1649388077-convert-numbers-to-k-l-c-format-lakhcrore
Sheet: Sheet1

100
900
1000
1200
99000
100000
130000
9900040
10000000
10200000
10205000
Spreadsheet: 108172d1305231003-autofill-numbering-in-steps-solution
Sheet: Sheet1

Susan1 | [NAME]
Joe1 | [NAME]
Susan2 | [NAME]
[NAME] | [NAME]
Susan3 | [NAME]
Joe3 | [NAME]
Susan4 | [NAME]
Joe4 | [NAME]
Susan5 | [NAME]
Joe5 | [NAME]
Susan6 | [NAME]
Susan7 | [NAME]
Susan8 | [NAME]
Joe6 | [NAME]
Spreadsheet: 727689d1618036671-data-validation-listing-all-associations-but-looking-at-2-separate-worksheets-sample
Sheet: Employer Docket

 |  |  |  |  |  |  |  |  |  |  |  |  | EMPLOYER
2020002395 | 910357395 | 60036015 | TOM | S | MADEUP |  |  |  |  |  |  |  | WENDY'S |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1999001295 | 910357395 | 70036511 | WILMA | T | FREDSTONE
2020002396 | 910345466 | 60036016 | [NAME] | C | SOMEBODY |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1999001296 | 910345466 | 70036512 | FRED |  | FREDSTONE
2020002397 | 910344997 | 60036017 | FRANK | J | DOE |  |  |  |  |  |  |  | UNEMPLOYMENT |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1999001297 | 910344997 | 70036513 | LUCILLE | J | BALL |  |  |  |  |  |  |  | DAIRY QUEEN
2020002398 | 910365195 | 60036018 | [NAME] | D | JONES |  |  |  |  |  |  |  | FORD MOTOR COMPANY |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1999001298 | 910365195 | 70036514 | MARSHA | F | GILLIGAN
2020002399 | 910357608 | 60036019 | JOSEY | I | [NAME] |  |  |  |  |  |  |  | ENTERPRISE |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1999001299 | 910357608 | 70036515 | ANNETTE |  | SOMEGIRL
2020002400 | 910357608 | 60036020 | [NAME] | I | DUCK |  |  |  |  |  |  |  | BURGER KING |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1999001300 | 910352388 | 70036516 | SHERRY |  | WINE
2020002400 | 910357608 | 60036020 | [NAME] | I | DUCK |  |  |  |  |  |  |  | [NAME]'S OUR US |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1999001301 | 910340585 | 70036517 | FRANCINE |  | WEBSTER |  |  |  |  |  |  |  | DANCING WOLVES INC
2020002402 | 910340585 | 60036022 | WILLIAM |  | MITTEN |  |  |  |  |  |  |  | SOME GARAGE SOMEWHERE |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1999001302 | 910340585 | 70036517 | FRANCINE |  | WEBSTER |  |  |  |  |  |  |  | UNEMPLOYMENT INSURANCE AGENCY
Spreadsheet: 142517d1329882731-excel-2007-consolidating-different-values-under-different-names-indifferent-tabs-to-master-sheet-varification-doc
Sheet: PATPARGANJ

PATPARGANJ |  |  |  |  |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR |  |  |  | PASCHIM VIHAR
SNO | Part Code | Description | Qty | Qty (As on Date 16th Jan-2012)
Section-V,  Part A, SNO-3, 5 | PE-SV Router, PE-SDN Router |  | 1
Existing Material Redeployment
A | Power System
 | 200 AH Battery |  | 2
Spreadsheet: 482328d1475010455-ranking-based-on-conditions-mock-report
Sheet: Sheet4

 |  |  | Contract 2 | Contract 3
 |  |  | Division 2 | Division 2
 |  |  | BU B | BU C
 |  |  | [NAME] | [NAME]
 |  | External Revenue | 986 | 2927
 |  | Salaries and Wages | 227 | 5
 |  | Bonus and Commission | 339 | -74
 |  | Pension Charges | 167 | -1
 |  | Overtime | -168 | -340
 |  | Redundancy and Severance | -311 | -298
 |  | Training and Recruitment | -95 | -418
 |  | Other Employee Costs | 295 | -145
 |  | Agency Staff | -91 | -278
 |  | Employee Costs | 363 | -1549
 |  | Property and Facilities | -433 | 88
 |  | Power Costs | -139 | 89
 |  | Communications | 235 | 365
 |  | Office Expenses | -4 | 255
 |  | Facility Costs | -341 | 797
 |  | Materials and Consumables | 35 | -35
 |  | Low Value Equipment | 91 | 215
 |  | Computer Expenditure | -21 | -40
 |  | Vehicles | -157 | 3
 |  | Lease Rentals and Hire Costs | -219 | 59
 |  | Equipment Costs | -271 | 202
 |  | Sub Contractors | 152 | -54
 |  | Recharges | 67 | 143
 |  | Purchased Services | -160 | -61
 |  | Procured Services | 59 | 28
 |  | Travel and Subsistence | 238 | 79
 |  | Internal Revenue/Costs | -30 | -356
 |  | Profit/Loss on Disposal | -239 | -339
 |  | Sales and Marketing | 120 | -24
 |  | Insurance | -326 | -132
 |  | Finance Income/Expenses | 330 | -489
 |  | Capitalised Costs | -58 | 328
 |  | Depreciation | -59 | 15
 |  | Bid & Phase In Costs Amortisation | 132 | 148
 |  | Impairment | -16 | 11
 |  | Foreign Exchange | 115 | 271
 |  | Bad Debt | -197 | -145
 |  | Asset Amortisation | 416 | 361
 |  | Allocated Indirect Costs | -137 | 287
 |  | Other Direct Costs | 65 | -217
 |  | Other Costs | 354 | -202
Spreadsheet: 841309d1693496958-match-date-on-two-different-pages-and-paste-data-in-columns-copy-of-ef-file
Sheet: 2-3 Day

 | CR1 | Priority | Headcount
1 | Alinity RV | 19 | 0.25
2 | Alinity RV | 18 | 0.25 |  |  |  |  |  |  | Noemy
3 | Alinity RV | 17 | 0.25 |  |  |  |  |  |  | Balinda
4 | Alinity RV | 16 | 0.25 |  |  |  |  |  |  | Ray
5 | Alinity RV | 15 | 0.25 |  |  |  |  |  |  | Niki
12 | [NAME] | 23 | 0.25 |  |  |  |  |  |  | [NAME]
13 | Luminex Side Cassette | 22 | 0.25 |  |  |  |  |  |  | 2 CR1 & 2 CR2
9 | Architect RV | 14 | 0.25 |  |  |  |  |  |  | Metrology help measurements
15 | Lid sleeve | 13 | 3
16 | Architect RV | 12 | 0.25 |  |  |  |  |  |  |  | DAY | NIGHT
17 | Alinity RV | 11 | 0.25 |  |  |  |  |  |  | Wed | 17 | 18
50 | Baxter SIV Assy ES | 21 | 3 |  |  |  |  |  |  | Thu | 17 | 18
31 | Architect RV | 10 | 0.25 |  |  |  |  |  |  | Frid | 16 | 15
8 | Alinity RV | 9 | 0.25
10 | Architect RV | 8 | 0.25
11 | [NAME]
18 | Architect RV | 7 | 0.25
19 | Architect RV | 6 | 0.25
20 | Base Sleeve | 20 | 3
21 | Architect RV | 5 | 0.25
22 | Architect RV | 4 | 0.25
23 | Architect RV | 3 | 0.25
30 | Architect RV | 2 | 0.25
7 | Architect SC | 1 | 0.25
Total
 | CR2 | Priority
72 | 8ul ES/OQ Low | 5 | 0.25
73 | PP1 | 4 | 0.25
74 | PP3 | 3 | 0.25
77 | Base Cassette B | 2 | 1
78 | Side Cassette A | 1 | 0.25
79 | [NAME] | 6 | 0.25
87 | [NAME] | 7 | 0.25
52 | Architect RV | 10 | 0.25
53 | Architect RV | 9 | 0.25
54
59 | Architect RV | 11 | 0.25
61 | [NAME] | 13 | 0.5
66 | [NAME] | 12 | 0.5
83 | Ceph OM#1
84 | Ceph MB#1
86 | [NAME] | 14 | 0.25
62 | NP227 | 15 | 0.25
63 | NP Birdcage | 17 | 0.25
64 | Siemens 1ML | 16 | 0.25
67 | [NAME]
69
88 | [NAME] | 8 | 0.25
89 | Top Frame B ES
106
107
108
109 | Baxter 4 Cavity Neck ES/EQP
Total
Spreadsheet: 49349d1248704545-creating-sheets-while-referencing-a-new-row-in-some-cells-sample-data3
Sheet: Data Tab

Sheet Name | Name | Address | city | state | zip | account | id# | type | amount 1 | amount 2 | amount 3 | amount 4 | amount 5 | amount 6 | amount 7 | amount 8 | amount 9 | amount 10
Sheet1 | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Jan | Feb | Mar | Apr | May | Jun
Sheet2 | Mon | Tue | Wed | Thu | Fri | Sat | Sun | Mon | Tue | Wed | Thu | Fri | Sat | Sun | Mon | Tue | Wed | Thu
Sheet3 | Padya | [NAME] | Tadige | chouthi | Panchami | Shashti | Sapthami | [NAME] | [NAME] | Dashami | ekadashi | [NAME] | Thrayodashi | Chaturdashi | Amavasye | Poornima | Padya | [NAME]
Sheet4 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18