tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 180631d1347658240-returning-the-newest-date-entry-for-an-employee-on-a-separate-sheet-book1
Sheet: Data

Employee | Date Completed
Employee #10 | 2012-05-28 00:00:00
Employee #03 | 2012-06-14 00:00:00
Employee #04 | 2012-06-21 00:00:00
Employee #06 | 2012-06-22 00:00:00
Employee #01 | 2012-06-24 00:00:00
Employee #02 | 2012-06-28 00:00:00
Employee #07 | 2012-07-17 00:00:00
Employee #08 | 2012-07-19 00:00:00
Employee #10 | 2012-07-22 00:00:00
Employee #09 | 2012-07-22 00:00:00
Employee #05 | 2012-07-24 00:00:00
Employee #09 | 2012-07-28 00:00:00
Employee #01 | 2012-07-28 00:00:00
Employee #02 | 2012-08-12 00:00:00
Employee #03 | 2012-08-12 00:00:00
Employee #04 | 2012-08-14 00:00:00
Employee #01 | 2012-08-16 00:00:00
Employee #10 | 2012-08-19 00:00:00
Employee #05 | 2012-08-21 00:00:00
Employee #02 | 2012-08-21 00:00:00
Employee #04 | 2012-08-24 00:00:00
Employee #06 | 2012-08-27 00:00:00
Employee #05 | 2012-08-27 00:00:00
Employee #08 | 2012-08-29 00:00:00
Employee #07 | 2012-09-01 00:00:00
Employee #09 | 2012-09-10 00:00:00
Employee #06 | 2012-09-10 00:00:00
Employee #07 | 2012-09-12 00:00:00
Employee #03 | 2012-09-12 00:00:00
Employee #08 | 2012-09-13 00:00:00
Spreadsheet: 81700d1281823050-grouping-data-for-averaging-on-a-large-data-set-example_pivot
Sheet: Pivot Table

 |  |  |  | Values
Year | Month | Day | Hour | Average of Wind Direction | Average of Wind Speed
1992 | 1 | 1 | 0 | 210 | 19
 |  |  | 1 | 210 | 18
 |  |  | 2 | 216.6666666666667 | 18.66666666666667
 |  |  | 3 | 213.3333333333333 | 19.66666666666667
 |  |  | 4 | 230 | 22.66666666666667
 |  |  | 5 | 273.3333333333333 | 26.33333333333333
 |  |  | 6 | 230 | 24
 | 2 | 1 | 0 | 210 | 19
 |  |  | 1 | 210 | 18
 |  |  | 2 | 216.6666666666667 | 18.66666666666667
 |  |  | 3 | 213.3333333333333 | 19.66666666666667
 |  |  | 4 | 230 | 22.66666666666667
 |  |  | 5 | 273.3333333333333 | 26.33333333333333
 |  |  | 6 | 230 | 24
Grand Total |  |  |  | 225.2380952380952 | 20.95238095238095
Spreadsheet: 108388d1305441711-if-a-cell-in-a-column-in-any-worksheet-x-copy-entire-row-budget_update
Sheet: Gas

Gas
 |  |  |  |  | Total Gas Budget | Spent So Far | Total Remaining
 |  |  |  |  | 100 | 32 | 68
Date | Location | Memo | Method | Amount
2011-05-01 00:00:00 | Conoco |  | AMEX | 10
2011-05-01 00:00:00 | Conoco |  | AMEX | 10
2011-05-06 00:00:00 | Chevron |  | DISC | 12
Spreadsheet: 269505d1381177292-dynamic-file-paths-help-collated-report-2262-vancouver-mall-dr-vancouver-wa-week-35-2013
Sheet: Sales Summary

Summary Report (V2)
Week Ending Date: |  |  |  | 09/03/2013
Store Location: |  |  |  | 2262 - Vancouver Mall Dr, Vancouver, WA
Store # |  |  |  | 2262
General Manager [NAME]:
[NAME] and COGS |  |  |  |  | Labor Cost Summary
Manager Freebies | 19.4 |  |  |  | Manager | 0.2234351953544461 | 913.45
Employee Freebies | 46.15 |  |  |  | InShop | 0.1940055427681063 | 793.1354
Promo | 561.1 |  |  |  | Driver | 0.05822384368709044 | 238.0313
Waste | 6.25 |  |  |  | Tax | 0.04271468442178851 | 174.6266
Total Freebies | 632.9 |  |  |  | DMR | 0.0004843195432719943 | 1.98
 |  |  |  |  | Total | 0.5188635857747034 | 2121.2233
 |  |  |  |  | Vacation | 0 | 0
 |  |  |  |  | Training Pay | 0 | 0
 |  |  |  |  | Vacation Tax | 0 | 0
 |  |  |  |  | Training Tax | 0 | 0
 |  |  |  |  | Total Vacation/Training | 0 | 0
COGS Summary | Actual |  |  |  | Total Labor Cost | 0.5188635857747034 | 2121.2233
Bread 4311 | 0.03161383588416447
Food 4312 | 0.1203383143233836
Sides 4313 | 0.01424339747713546
Paper 4314 | 0.01378913999036252
Produce 4315 | 0.0110884959432123
Beverage 4316 | 0.0003508626024592905
Catering 4320 | 0.0002250373635405231
Sub Total COGS | 0.1916490835842581
Discounted Total COGS | 0.1923829010740641
Cash Over Under | -0.21
Total Sales | 4088.21
Spreadsheet: 684037d1593104051-convert-single-row-data-with-multiple-columns-into-multiple-row-data-with-only-two-columns-basin-street-excelforum-sample-1-
Sheet: Original Data

Song Code | Writer/Composer 1 | Writer/Composer 2 | Writer/Composer 3 | Writer/Composer 4 | Writer/Composer 5 | Writer/Composer 6 | Writer/Composer 7 | Writer/Composer 8 | Writer/Composer 9 | Writer/Composer 10 | Writer/Composer 11
USBAS0000001 | [NAME]
USBAS0000008 | [NAME] | [NAME] | [NAME]
USBAS0100001 | [NAME] | [NAME]
USBAS0100002 | Kermit Ruffins
USBAS0100003 | Wilmore Jones | Fleecy Moor
USBAS0200045 | [NAME] | [NAME] | [NAME] | [NAME] | [NAME] | [NAME]
USBAS0200046 | Dr. [NAME]
USBAS0200049 | [NAME] | [NAME]
USBAS0200060 | [NAME] | [NAME] | [NAME] | [NAME]
USBAS1400111 | [NAME] | [NAME] | [NAME] | [NAME] | [NAME] | [NAME] | [NAME] | Gregory Veals | [NAME] | [NAME] | [NAME]
USBAS1400416 | [NAME] | [NAME] Neville | [NAME] Neville | [NAME] | [NAME]
USBAS1400417 | [NAME], Jr.
USBAS1400418 | [NAME]
USBAS1400426 | [NAME] | Eugen [NAME]
USBAS1600204 | [NAME] | [NAME]
USBAS1800106 | [NAME] | Ira Gershwin | [NAME] | [NAME]
USBAS1800107 | Dr. [NAME]
USBAS1800108 | [NAME] | [NAME]
Spreadsheet: 061c0ea6-9daa-4296-8978-53f6c5253611
Sheet: Mealplan Numbers

Fraternity | Friday | Number | Lunch | Dinner
[NAME] |  |  | 13 | 13
Phi Delta Theta |  |  | 4 | 10
Sigma Phi Epsilon |  |  | 47 | 47
Delta Tau Delta |  |  | 5 | 15
[NAME] |  |  | 39 | 0
 | Thursday
[NAME] |  |  | 13 | 13
Phi Delta Theta |  |  | 3 | 10
Sigma Phi Epsilon |  |  | 47 | 47
Delta Tau Delta |  |  | 5 | 15
[NAME] |  |  | 39 | 39
 | Wednesday
[NAME] |  |  | 13 | 13
Phi Delta Theta |  |  | 5 | 14
Sigma Phi Epsilon |  |  | 47 | 47
Delta Tau Delta |  |  | 5 | 15
[NAME] |  |  | 39 | 39
 | Tuesday
[NAME] |  |  | 13 | 13
Phi Delta Theta |  |  | 4 | 11
Sigma Phi Epsilon |  |  | 47 | 47
Delta Tau Delta |  |  | 5 | 15
[NAME] |  |  | 39 | 39
 | Monday
[NAME] |  |  | 13 | 13
Phi Delta Theta |  |  | 4 | 17
Sigma Phi Epsilon |  |  | 47 | 47
Delta Tau Delta |  |  | 5 | 15
[NAME] |  |  | 39 | 39
 | Sunday
[NAME] |  |  | 0 | 13
Phi Delta Theta |  |  | 0 | 17
Sigma Phi Epsilon |  |  | 0 | 47
Delta Tau Delta |  |  | 0 | 0
[NAME] |  |  | 0 | 0
Spreadsheet: 762553d1641633206-vlookup-for-multiple-criteria-vlookup
Sheet: Sheet1

 |  |  |  |  |  |  |  | Expected Results
MUD ID | Name | Category | DM Closed | Request | Incident |  |  | DM Closed | Request | Incident
[NAME] | A | Training |  |  |  |  |  | 1 | 0 | 0
cb832551 | B | Training |  |  |  |  |  | 0 | 0 | 0
dvr95541 | C | Training |  |  |  |  |  | 0 | 0 | 1
gg336016 | D | Training |  |  |  |  |  | 1 | 0 | 0
md891090 | E | Training |  |  |  |  |  | 0 | 0 | 1
mg104360 | F | Training |  |  |  |  |  | 0 | 1 | 0
nm846496 | G | Training |  |  |  |  |  | 0 | 1 | 0
Spreadsheet: 29951d1225214447-listing-a-set-of-files-from-a-database-copy-of-listing-set-of-files
Sheet: Database

NAME | NUMBER
b | 2
c | 3
c | 3
d | 3
c | 4
c | 4
d | 4
d | 4
c | 5
c | 5
c | 5
d | 5
d | 5
c | 6
b | 8
b | 13
a | 24
b | 24
b | 24
c | 34
b | 45
c | 45
d | 45
b | 53
c | 53
d | 53
d | 53
b | 56
a | 58
b | 64
b | 65
a | 67
b | 89
a | 126
a | 131
a | 132
a | 234
a | 234
a | 234
c | 345
c | 345
a | 524
c | 553
b | 856
b | 970
b | 2325
a | 2454
c | 5345
Spreadsheet: 60975d1261561053-excel-key-combination-711742-excel-key-combination
Sheet: Sheet1

 | number | first | second | third | fourth | clean
123
Spreadsheet: 869203d1715841209-maxifs-to-pull-other-columns-as-well-dummy
Sheet: Sheet1

 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Existing Result |  |  | Required Result
Data1 | Country | Rating | [NAME] |  | Code | Sub category | Particulars | Group |  | qty |  |  |  |  |  |  | Price |  |  | Group | Price |  | Group | Price | Code | Rating
1 | USA | R-1 | East |  | 9242 | Fruits-A | Ram | Apple |  | 5268 |  |  |  |  |  |  | 50 |  |  |  |  |  | Apple | 98 | 10928 | R-4
5 | Austrial | B-5 | West |  | 9227 | Fruits-A | [NAME] | Orange |  | 0 |  |  |  |  |  |  | 60 |  |  | Orange | 124 |  | Orange | 124 | 16119 | S-23
3 | Canada | [NAME] | East |  | 9484 | Fruits-1 | [NAME] | Apple |  | 331 |  |  |  |  |  |  | 44 |  |  | Grapes | 33 |  | Grapes | 33 | 14845 | D-94
44 | China | R-4 | East |  | 10928 | Fruits-A | Hari | Apple |  | 126 |  |  |  |  |  |  | 98 |  |  | Mango | 54 |  | Mango | 54 | 64 | M-44
982 | Nepal | D-94 | North |  | 14845 | Fruits-B | Dinomorio | Grapes |  | 663 |  |  |  |  |  |  | 33 |  |  | Candy | 364 |  | Candy | 364 | 412 | A-25
63 | India | S-23 | North |  | 16119 | Fruits-K | [NAME] | Orange |  | 4521.63 |  |  |  |  |  |  | 124 |  |  | Guava | 24 |  | Guava | 24 | 985 | L-4
145 | Russia | M-44 | East |  | 64 | Fruits-B | [NAME] | Mango |  | 874.98 |  |  |  |  |  |  | 54
Alist | Dubai | A-25 | East |  | 412 | Furits-AB | Alkja | Candy |  | 12.36 |  |  |  |  |  |  | 364
Tex-24 | Netherland | L-4 | South |  | 985 | Furits-AB | [NAME] | Guava |  | 84.44 |  |  |  |  |  |  | 24
Spreadsheet: b3cb054d-e3f5-4d6a-81b0-0663d4986b45
Sheet: Sheet1

Tarifliste "kommerzielle Kommunikation" Hitradio Ö3 (ausgenommen [NAME]) - gültig ab 1.1.2011 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7
 |  | KATEGORIE 1 |  | KATEGORIE 2 |  | KATEGORIE 3
 | Einheit | Preis Minimum | [NAME] | Preis Minimum | [NAME] | Preis Minimum | [NAME]
Sponsoring "Sendung" | Schaltung | 543 | 1513 | 201 | 1038 | 35 | 388
Sponsoring "werblich gestaltet" | Schaltung | 992 | 2904 | 368 | 1992 | 64 | 744
Sponsoring "Trailer" | Schaltung | 1380 | 1380 | 1080 | 1380 | 1080 | 1380
Produktplatzierung (Gewinnspiel) | Einbindung | 4080 | 5808 | 1392 | 3984 | 432 | 1488
Produktplatzierung (Trailer) | Einbindung | 1380 | 1380 | 1080 | 1380 | 1080 | 1380
Sponsoring Gewinnspiel | Schaltung | 4080 | 5808 | 1392 | 3984 | 432 | 1488
[NAME] (Trailer) : € 276 pro Schaltung
umsatzäbhängige Rabattstaffelung pro Auftrag | ab € 50.000 | ab € 75.000 | ab € 100.000 | ab € 150.000 | ab € 200.000
in % | 0.025 | 0.03 | 0.04 | 0.05 | 0.06
umsatzäbhängige Rabattstaffelung pro Auftrag | ab € 300.000 | ab € 400.000
in % | 0.07 | 0.075
[NAME] Partnern werden zusätzliche 30% pauschal zum Preis laut Tarifliste verrechnet
[NAME] Partnern werden zusätzliche 50% pauschal zum Preis laut Tarifliste verrechnet
Preis-Bandbreiten sind bedingt durch die jeweilige Tageszeit und den Wochentag des Ausstrahlungszeitpunktes bzw. durch "Programm-Highlights"
kostenlose [NAME] nach redaktionellem Bedarf
Druckfehler vorbehalten. [NAME] verstehen sich als Schaltpreise in [NAME] zuzüglich gesetzlicher [NAME] und Steuern
Abweichend von den Rabatten lt. Staffel, können [NAME] innerhalb einer marktkonformen [NAME] kundenindividuell, abhängig von folgenden [NAME], [NAME]:
Kundenstatus, Distributionsgebiet, Buchungstreue, Zielgruppenstruktur/größe, [NAME], Planungsgenauigkeit, Bearbeitungsaufwand, Nachfrage/Zeitfaktor
Spreadsheet: 548286d1510967052-identifying-turning-points-in-data-18-nov-2017
Sheet: Sheet1

3.67 | 3.67 | 3.67 | 3.5 | 3.25 | 3.5 | 3.5 | 3.5 | 3.5 | 3.5
3.08 | 3.17 | 3.08 | 3 | 2.73 | 2.75 | 2.73 | 2.73 | 2.73 | 2.7
1.93 | 2.07 | 2.13 | 2.2 | 2.13 | 2.2 | 2.07 | 2.07 | 2.07 | 2.07
3 | 3 | 2.67 | 2.67 | 2.67 | 2.75 | 2.75 | 2.75 | 2.75 | 2.75
1.86 | 1.85 | 2.08 | 2.23 | 2 | 2 | 2.08 | 2 | 2 | 2.18
2.5 | 2.57 | 2.5 | 2.71 | 2.71 | 2.86 | 2.67 | 2.67 | 2.67 | 2.66
Spreadsheet: 7f9f4044-46dc-4de9-a2f8-4833961ad492
Sheet: Sheet1

OPERATING/PROGRAMMATIC | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11
Legislative Fiscal Note |  |  |  |  |  |  | Ordinance Number
Ordinance Title (in Brief) Facility Repair and [NAME] with AmeriKleen, Inc.
Does this Legislation Estimate New or Additional Revenues to the City? |  |  |  |  |  |  | X | No |  |  | Yes
 | If yes, please identify in  which Fund these revenues will be deposited (e.g. General, Sales Tax) |  |  |  |  |  |  |  |  |  | AVIATION
 | and provide the following revenue information:
 | Revenue Detail |  |  |  | FY 2007-08 |  |  | FY 2008-09
 | General Fund
 | Special Revenue
 | Enterprise
 |  |  | Total: | $ |  |  | $ | 0
 | (Please detail type of revenue (fees, grants, tax) and change that will occur as a result of this legislation.  Provide multi-year
 | estimates if known, or if grant revenue please identify source of funds (federal or state) and duration of grant support)
Does this Legislation increase appropriations in the current budget? |  |  |  |  |  |  | X | No |  |  | Yes
 | If Yes, please complete the following budget information:
 | Expense Detail |  |  |  | FY 2007-08 |  |  | FY 2008-09
 | General Fund
 | Special Revenue
 | Enterprise/Other
 |  |  | Total: | $ | 0 |  | $ | 0
 | Please detail the extent to which these increased appropriations will be of a permanent nature (e.g. number of
 | additional staff, facilities, long-term contracts)
Does this Legislation expand the scope of current city services? |  |  |  |  |  |  | X | No |  |  | Yes
 | (Please detail estimate number of people to be served, who is delivering services currently to that population, service
 | performance expectations, and if grant supported, provisions for support if grant support ends.
Is this legislation the result of a federal or state legislative mandate? |  |  |  |  |  |  | X | No |  |  | Yes
 | (If yes, please detail the purpose and source for that mandate).
Reviewed by:
 | 0ffice of Management and Budget |  |  | OMB Approval Date
Spreadsheet: 126113d1319532765-vlookup-for-more-refreince-book1
Sheet: Sheet1

 |  |  |  |  | VALUE
 | AWD |  | 07:00:00 | C1 | 3.1 |  | I want the value
 | AWD |  | 07:00:00 | C2 | 2.6
 | AWD |  | 07:00:00 | [NAME] | 2.1
 | AWD |  | 07:00:00 | C4 | 1.6
 | AWD |  | 07:00:00 | C5 | 1.1
 | AWD |  | 07:00:00 | C6 | 0.6
 | AWD |  | 07:00:00 | C7 | 0.1
 | SED |  | 07:00:00 | C1 | -0.4
 | SED |  | 07:00:00 | C2 | -0.9
 | SED |  | 07:00:00 | [NAME] | -1.4
 | SED |  | 07:00:00 | C4 | -1.9
 | SED |  | 07:00:00 | C5 | -2.4
 | SED |  | 07:00:00 | C6 | -2.9
 | SED |  | 07:00:00 | C7 | -3.4
 | AWD |  | 07:20:00 | C1 | -3.9
 | AWD |  | 07:20:00 | C2 | -4.4
 | AWD |  | 07:20:00 | [NAME] | -4.9
 | AWD |  | 07:20:00 | C4 | -5.4 |  |  |  | I tried the vlookup , but its wrong :(
 | AWD |  | 07:20:00 | C5 | -5.9 |  |  |  | =VLOOKUP($C$9&B$9&$E9,B6:F26,5,FALSE)
 | AWD |  | 07:20:00 | C6 | -6.4
 | AWD |  | 07:20:00 | C7 | -6.9
Spreadsheet: 129078d1321440601-excel-2007-identify-duplicate-duplicate3
Sheet: Sheet1

 | Helper colum(you can hide this)
1 | 1 |  | unique
2 | 2 |  | unique
3 | 3 |  | unique
4,5 | #N/A |  | Duplicate
6,7 | #N/A |  | Duplicate | The formula should NOT identify it a duplicate
6 | 6 |  | unique | The formula should identify it a duplicate
7 | 7 |  | unique | The formula should identify it a duplicate
 | 0
 | 0
 | 0
Spreadsheet: 07d05468-710e-47bc-857c-e602abe0a9f5
Sheet: Notes on metals in foods, water

 | EPA  Standards:
 | Under the EPA standards, lead is considered a hazard when:
 |  | · Exceeding 40 micrograms of lead in dust per square foot on floors
 |  | · Exceeding 250 micrograms of lead in dust per square foot on interior window sills
 |  | · Exceeding 400 parts per million (ppm) of lead in bare soil in children's play areas or 1200 ppm average for bare soil in the rest of the yard
 | Copper and lead in drinking water:
 | For the most part, lead and copper enter drinking water through corrosion of plumbing materials such as water pipes, solder, and faucets.
 |  | · Lead concentrations exceeding 15 ppb (15 ug/L) are considered 'action level' according to the Lead and Copper Rule (published June 7. 1991) .
 |  | · For copper the action level limit is 1.3 ppm (1300 ug/L).
 | For more information on lead, copper, and other contaminants in your water call EPA’s Safe Drinking Water Hotline at [PHONE] or visit the EPA website at http://water.epa.gov/drink/
 | Seafood:
 | The FDA publishes action levels for potentially toxic metals (from the 2007 Molluscan Shellfish Guide):
 | Toxic Elements and EPA 'Action Levels' | Cadmium (Cd) | Chromium (Cr) | Lead (Pb) | Nickel (Ni)
 | Crustacea | 3 ppm | 12 ppm | 1.5 ppm | 70 ppm
 | Clams, oysters, and mussels | 4 ppm | 13 ppm | 1.7 ppm | 80 ppm
 | We did not measure mercury in seafood samples.
 | For information on mercury in seafood, visit the EPA webpage at http://water.epa.gov/scitech/swguidance/fishshellfish/outreach/advice_index.cfm
Spreadsheet: 703549d1605041548-extract-rows-from-table-that-match-criteria-in-one-column-team-book-example
Sheet: Prayer Partners

 | Name | [NAME] | Phone | Team
Spreadsheet: phillip_m_love__30155__9902_OA
Sheet: SE-LRC-GL

ENRON CAPITAL & TRADE RESOURCES
OPERATIONAL ANALYSIS - ACTUALS
COMPANY:  LRC
REGION:  SOUTHEAST
 |  |  | Total |  | Reclasses |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | September |  | October |  | November |  | December |  | January |  | February |  | March |  | April |  | May |  | June |  | July |  | August |  | September
 |  |  | Volume | $'s | Volume | $'s | Volume | $'s | Volume | $'s | Volume | $'s | Volume | $'s | Volume | $'s | Volume | $'s | Volume | $'s | Volume | $'s | Volume | $'s | Volume | $'s | Volume | $'s | Volume | $'s | Volume | $'s | Volume | $'s | Volume | $'s | Volume | $'s | Volume | $'s | Volume | $'s | Volume | $'s | Volume | $'s
 | Sales:
1 |  | 3rd Party / Inter Enron
2 |  | Liquidations
3 |  | Interdesk
4 |  | Option Premiums
5 |  | Dmd Reimbursements
 | Total Sales:
 | Purchases:
6 |  | 3rd Party / Inter Enron
7 |  | Liquidations
8 |  | Interdesk
9 |  | Option Premiums
10 |  | [NAME]
 | Total Purchases:
 | Intra CTS (EGM / HPL / LRC):
11 |  | Sales
12 |  | Purchases
 | Total Intra CTS Sales / Purchases
 | Imbalances:
13 |  | In Kind |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 15579 | 27855.25 | 15579 | 27855.25
14 |  | Cash Out |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | -25 | -43.25 | 0 | 0 | 0 | 0
15 |  | Cash In
16 |  | Synthetic Storage
 | Total Imbalances:
 | Storage:
17 |  | Injection (Sales to Stg)
18 |  | W/D (Purchase from Stg)
19 |  | Inventory Profit
 |  | Total W/D
 | Total Storage:
20 | Linepack:
21 | Shrinkage:
22 | UA4: |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | -15579 | -27855.25 | -15579 | -27855.25
23 | Fuel:
 | Transport Expense:
24 |  | Commodity
25 |  | Demand
 | Total Transport Expense:
 | Transport Revenue:
26 |  | Interstate
27 |  | Intrastate
 | Total Transport Revenue:
 | Intra CTS (EGM / HPL / LRC):
28 |  | Transport Expense
29 |  | Transport Revenue
 | Total Intra CTS Transport
 | Tie Out Schedule Items:
 |  | MTM Income:
30 |  | Current Gross Book Balance
31 |  | Prior Month Book Balance
 |  | Total MTM Income
32 |  | Prudency
33 |  | Financial Liquidations
34 |  | Originations
35 |  | Broker Fees
36 |  | Asset Group Demand Charges
37 |  | [NAME]
38 |  | Interdesk Charges
39 |  | Canada
40 |  | Miscellaneous |  |  |  |  |  |  |  | 0
 |  | TOTAL
Spreadsheet: 723790d1615898933-formula-if-one-or-more-the-cells-within-a-selection-of-cells-contains-text-then-change-tex-dailymanagement-test3
Sheet: Employees

People | Day | 1 | 2 | 3
Engineer | Employee 1 | Green
Engineer | Employee 2 | Green
Engineer | Employee 3
Engineer | Employee 4 | Orange
Engineer | Employee 5 | Red
Engineer | Employee 6 | Orange
Engineer | Employee 7 | Green
Engineer | Employee 8
Engineer | Employee 9
Engineer | Employee 10
Engineer | Employee 11
Leader | Manager 1
Leader | Manager 2
Leader | Manager 3
Leader | Manager 4
Leader | Manager 5
Spreadsheet: 0eb76dc4-6453-4ce0-a89b-3f4c79d3606f
Sheet: Table I.17

Table I.17 الجدول
Water Quality Indicators in the Gulf Countries: Bahrain and the United Arab Emirates (2008)
مؤشرات لقياس نوعيّة المياه في دول الخليج: الإمارات العربية المتحدة والبحرين (2008)
Pollutant | Average | الملوث
Bahrain | المعدّل | البحرين
Magnesium (mg/l) ([NAME]) | 2.7 | [NAME] (ملغم/لتر)
Calcium (mg/l) (Ca) | 40 | الكالسيوم (ملغم/لتر)
Total Dissolved Solids TDS (mg/l) | 230 | [NAME] (ملغم/لتر)
Sodium (mg/l) (Na) | 23 | [NAME] (ملغم/لتر)
Chlorides (mg/l) | 18 | [NAME] (ملغم/لتر)
Sulfates (mg/l) (SO4) | 1 | الكبريتات (ملغم/لتر)
Aluminum (mg/l) (Al) | 0.007 | الألمنيوم (ملغم/لتر)
Iron (mg/l) (Fe) | 0.01 | الحديد (ملغم/لتر)
Copper (mg/l) (Cu) | 0.02 | [NAME] (ملغم/لتر)
Manganese (mg/l) (Mn) | 0.001 | المنجنيز (ملغم/لتر)
Zinc (mg/l) (Zn) | 0.013 | الخارصين (ملغم/لتر)
The United Arab Emirates |  | الإمارات العربية المتحدة
pH unit | 5.7 | الأس الهيدروجيني
Calcium (mg/l) | 23.1 | العسر الكلي (جزء في المليون)
Magnesium (mg/l) ([NAME]) | 30 | [NAME] (ملغم/لتر)
Sodium (mg/l) (Na) | 13 | الصوديوم(ملغم/لتر)
Chlorides (mg/l) | 18.3 | [NAME] (ملغم/لتر)
Bicarbonate (mg/l) (HCO3) | 52.2 | [NAME] (ملغم/لتر)
Aluminum (mg/l) (Al) | 30 | الألمنيوم (ملغم/لتر)
Iron (mg/l) (Fe) | 0.02 | الحديد (ملغم/لتر)
Total [NAME] (TDS) (mg/l) | 120 | مجموع المواد الصلبة الذائبة (ملغم/لتر)
Source: | Water Statistical Book for the Cooperation Council for the Arab States of the Gulf, Second Edition, 2010.
Spreadsheet: 176866d1346131079-adding-a-formula-to-accomodate-for-a-rollover-number-in-a-lotto-bonus-ball-spreadsheet-lotto-numbers-sheet
Sheet: Results

 | Previous Winners | Date
15 | Izzy, [NAME] | 2011-11-26 00:00:00
8 | [NAME] | 2011-12-03 00:00:00
20 | [NAME] | 2011-12-10 00:00:00
12 | Carolann | 2011-12-17 00:00:00
19 | [NAME] | 2011-12-24 00:00:00
2 | Shayne Payne | 2011-12-31 00:00:00
38 | [NAME] | 2012-01-07 00:00:00
33 | [NAME] | 2012-01-14 00:00:00
19 | [NAME] | 2012-01-21 00:00:00
1 | [NAME] | 2012-01-28 00:00:00
46 | [NAME] | 2012-02-04 00:00:00
6 | [NAME] | 2012-02-11 00:00:00
24 | [NAME] | 2012-02-18 00:00:00
33 | [NAME] | 2012-02-25 00:00:00
27 | [NAME] | 2012-03-03 00:00:00
33 | [NAME] | 2012-03-10 00:00:00
15 | Izzy, [NAME] | 2012-03-17 00:00:00
32 | [NAME] | 2012-03-24 00:00:00
19 | [NAME] | 2012-03-31 00:00:00
18 | ROLL OVER | 2012-04-07 00:00:00
18 | ROLL OVER | 2012-04-14 00:00:00 | 40, However Jeff Not Paid
30 | Matty, Grant | 2012-04-21 00:00:00 | Lucky Bastards!
6 | [NAME] | 2012-04-28 00:00:00
36 | [NAME] | 2012-05-05 00:00:00
20 | [NAME] | 2012-05-12 00:00:00
22 | Jessica | 2012-05-19 00:00:00
45 | Maria | 2012-05-26 00:00:00
22 | Jessica | 2012-06-02 00:00:00
30 | Matty, Grant | 2012-06-09 00:00:00
35 | [NAME] | 2012-06-16 00:00:00
5 | [NAME] | 2012-06-23 00:00:00
41 | [NAME] | 2012-06-30 00:00:00
6 | Bev | 2012-07-07 00:00:00
28 | [NAME] | 2012-07-14 00:00:00
8 | [NAME] | 2012-07-21 00:00:00
26 | Shotton | 2012-07-28 00:00:00
43 | [NAME] | 2012-08-04 00:00:00
23 | Shane Payne | 2012-08-11 00:00:00
41 | [NAME] | 2012-08-18 00:00:00
40 | [NAME] | 2012-08-25 00:00:00
 |  | 2012-09-01 00:00:00
 |  | 2012-09-08 00:00:00
 |  | 2012-09-15 00:00:00
 |  | 2012-09-22 00:00:00
 |  | 2012-09-29 00:00:00
 |  | 2012-10-06 00:00:00
 |  | 2012-10-13 00:00:00
 |  | 2012-10-20 00:00:00
 |  | 2012-10-27 00:00:00
 |  | 2012-11-03 00:00:00
 |  | 2012-11-10 00:00:00
 |  | 2012-11-17 00:00:00
 |  | 2012-11-24 00:00:00
 |  | 2012-12-01 00:00:00
 |  | 2012-12-08 00:00:00
 |  | 2012-12-15 00:00:00
 |  | 2012-12-22 00:00:00
 |  | 2012-12-29 00:00:00