tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: sara_shackleton__36388__PHONE_LIST
Sheet: ext. Rio office

[NAME] do [NAME]. |  |  |  |  | [NAME] do [NAME].
RIO DE JANEIRO OFFICE |  |  |  |  | RIO DE JANEIRO OFFICE
Av. [NAME], 01 - 9º andar/setor A - 20090-003 - Rio de Janeiro - Brasil                                          Tel. 55 21 550 -8870    Fax. 55 21 550-8888  CGC 00624942/002-21 IE: ISENTA |  |  |  |  | Av. [NAME], 01 - 9º andar/setor A - 20090-003 - Rio de Janeiro - Brasil                                          Tel. 55 21 550 -8870    Fax. 55 21 550-8888  CGC 00624942/002-21 IE: ISENTA
 | STAFF & SUPPORT TELEPHONE |  |  |  | GENERAL
NAME | DEPARTMENT | EXTENSION | FLOOR |  | CONFERENCE ROOM
[NAME] | Administrative | 3036 | 9th |  |  | Conference Room 9C1 | 3032
Andréa Gavino | Legal | 3029 | 9th |  |  | Conference Room 9C2 | 3033
Ane Borges | Administrative | 3026 | 9th |  |  | Conference Room 9C3 | 3017
[NAME] | Commercial Devolopment | 3050 | 9th
[NAME] | Administrative | 3011 | 9th |  | [NAME]
[NAME] | Associate | 3012 | 9th |  |  | Library | 3045
Fernanda Figueiredo | Administrative | 3020 | 9th
[NAME] | Operations | 3021 | 9th |  | RECEPTION
[NAME] | Legal | 3051 | 9th |  |  | [NAME] | 3026
Isabel Pojo | Finance | 3043 | 9th |  |  | Visitors | 3022
[NAME] | Finance | 3018 | 9th
[NAME] | Origination | 3045 | 9th |  | FAXES
[NAME] | Origination | 3015 | 9th |  |  | Office | 550-8888
[NAME] | Legal | 3027 | 9th |  |  | [NAME] | 550-8887
[NAME] | Regional Director | 3013 | 9th |  |  | Legal | 550-8886
[NAME] | Administrative | 3041 | 9th
Nanci Sampaio | Administrative | 3016 | 9th |  | CELL PHONES
[NAME] | Finance | 3019 | 9th |  |  | [NAME] | 021 9648-6292
Orlando Puppin | Executive Staff | 3014 | 9th |  |  | [NAME] | 021 9967-9688
[NAME] | Legal | 3034 | 9th |  |  | [NAME] | 021 9648-6308
[NAME] | Finance | 3048 | 9th |  |  | [NAME] | 021 9648-6311
[NAME] | Commercial Devolopment | 3050 | 9th |  |  | Nanci Sampaio | 021 9948-3911
[NAME] | Executive Staff | 3010 | 9th |  |  | Valéria Amoroso Lima | 021 9649-5649
[NAME] | Operations | 3028 | 9th |  |  | [NAME] | 011 9233-7410
Rodrigo Benevides | Systems | 3044 | 9th |  |  | [NAME] | 021 9648-6303
[NAME] | Administrative | 3041 | 9th
Valéria Amoroso Lima | Finance | 3040 | 9th
[NAME] | Legal | 3025 | 9th
Spreadsheet: 133786d1324612721-doesnt-seem-right-from-previous-year-p-and-l2010help
Sheet: Aug

Profit and Loss Statement |  | Tax Year: |  | August
 |  | Monthly Summary | Total Income
 |  |  | Total Expense
Gross margin  [L/J]
Return on sales  [T/J] |  |  | Profit / (Loss)
Net Profit % Change from Prior Period
 | Prior Period | Current Period | Current Period as    % of Sales | % Change from Prior Period
Sales Revenue
Health Insurance
Medicare Advantage
Medicare Supplement
Life Insurance |  | 2200
Investment (Annuity)
Other
Total Sales Revenue  [J]
Cost of Sales
Specify
Total Cost of Sales  [K]
Gross Profit  [L=J-K]
Operating Expenses
Sales and Marketing
Advertising (Radio, TV, Print Media, etc) |  | 175
Printing
Direct marketing
Seminar
Meals and Entertainment
Total Sales and Marketing Expenses  [M]
Research & Development
Licenses
Education
Total Research & Development Expenses  [N]
General and Adminstrative
Rent
Payroll
Utilities
Telephone
Health Insurance
E&O Insurance
Software
Web Hosting and domains
Postage
Office Supplies |  | 130
Equipment
Repairs and maintenance
Other expenses (specify)
Auto (Tires, Fuel, Oil, Tolls, [NAME], etc)
Auto Mileage (IRS standard deduction; averaged) |  | 256
Total General & Adminstrative Expenses  [O]
Total Operating Expenses  [P=M+N+O]
Income from Operations  [Q=L-P]
Other Income (Bonuses) [R]
Taxes
Payroll Taxes
Property Taxes
Total Taxes  [S]
Net Profit  [T=Q+R-S]
Spreadsheet: 151210d1334831542-pivot-table-how-to-sort-drop-down-lists-da6126-ctreconciler-redacted
Sheet: DT Journal

Version | 2012-04-16-01 | DT Journal
MWH Ref | 0
Taxpayer name | 0
CT ref | 0
Control account | DT (931, 933)
Run date/time | 2012-04-19 11:22:43
 |  | APE | 2012-04-30 00:00:00
 |  | Sum of Movement total £ Dr/(Cr) | Processed?
 |  | Account | FALSE | Grand Total
 |  | 506 PL DT | 0 | 0
 |  | Grand Total | 0 | 0
Spreadsheet: 84681d1284702085-conditional-count-of-numbers-count-on-condition
Sheet: 2009

Customer | Outlet Class\Country Week | Wk 1 | Wk 2 | Wk 3 | Wk 4 | Wk 5 | Wk 6 | Wk 7 | Wk 8 | Wk 9 | Wk 10 | Wk 11 | Wk 12 | Wk 13 | Wk 14 | Wk 15
LEADING EDGE VIDEO - | D |  |  |  | 1
BLOCKBUSTER WILSONTO | D |  |  |  |  |  |  |  | 1 |  |  |  |  | 1
BLOCKBUSTER HERRIES | C |  |  |  |  |  |  | 1 |  |  |  | 1 |  |  |  | 1
[NAME] | H |  |  | 1 |  |  |  |  |  |  |  | 1
POLICE YOUTH CLUB TO | H |  |  |  | 1 |  |  |  | 1
WARWICK RECREATION P | K |  |  | 1 |  | 1 |  | 1 |  |  | 1 | 1 | 1 |  |  | 3
OAKEY SWIMMING POOL | H |  |  |  | 1 |  |  |  |  |  |  |  |  |  | 1
VIDEO EZY GATTON | D |  |  | 1 |  |  |  |  |  | 1
BLOCKBUSTER HIGH STR | D |  |  |  |  | 1 |  |  |  |  |  | 1 |  |  |  | 1
BLOCKBUSTER WESTRIDG | D |  |  |  | 1 |  |  |  | 1 |  |  |  | 1
BLOCKBUSTER WYALLA | C |  |  |  |  |  |  |  | 1 |  |  |  |  | 1
CIVIC VIDEO | E |  |  | 1 |  |  |  |  |  |  | 1
SMAILS SWIM SCHOOL | H |  |  |  | 1 |  |  |  | 1 |  |  |  | 1
SURAT SWIMMING POOL | H |  |  |  |  |  |  |  |  |  |  | 1
FOOD AND WATER CANTE | H |  |  |  | 1 |  |  |  |  |  | 1
CIVIC VIDEO WARWICK | D |  |  |  |  |  |  |  |  | 1 |  |  |  | 1
CIVIC VIDEO TOOWOOMB | D |  |  |  | 1 |  |  | 1 |  |  |  | 1 |  |  |  | 1
CIVIC VIDEO HIGHFIEL | D |  |  |  |  |  |  | 1 |  |  |  |  |  |  |  | 1
GOONDIWINDI TOURIST | D |  |  |  |  |  |  |  | 1
THE GRANITE BELT MAZ | D |  |  |  | 1
ROMA SWIMMING POOL | H |  |  |  |  |  |  |  |  | 1 |  |  |  |  |  | 1
CIVIC VIDEO | C |  |  |  |  |  |  |  |  |  |  |  | 1
CIVIC VIDEO HARVEY | C |  |  |  |  |  |  |  |  |  |  |  | 1
THE HOBART AQUATIC C | K | 1 |  |  | 2 |  | 1 |  | 1 |  |  |  |  |  |  | 1
BLOCKBUSTER VIDEO | D |  |  |  |  | 1 |  |  |  |  |  | 2
AMF BOWLING MOONAH | D | 1 |  |  |  |  |  |  | 1
VIDEO CITY CLAREMONT | D |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1
VIDEO CITY ROSNY PAR | D |  |  | 1 |  | 1 |  |  |  |  |  |  | 1
BLOCKBUSTER VIDEO | D |  |  |  |  |  |  |  |  |  |  |  | 1
 | COUNT by Wk | 2 | 0 | 5 | 8 | 2
Spreadsheet: 758723d1639040112-excel-dashboard-help-sum-data-from-multiple-tabs-service-support-management-db_v2
Sheet: Team_Dashboard

 | 1. Filter by manager
 |  |  |  |  |  |  | Number of Client Projects by month |  |  |  | Holidays this month
 |  |  | Total Client Projects |  | COUNT TOTAL CLIENT PROJECT (column b) AND CLIENT IS NOT N/A (column c)
 |  |  | Total Client Projects completed |  | COUNT TOTAL CLIENT PROJECT (column b) AND CLIENT IS NOT N/A (column c) & status (column G)
 |  |  | Total Client Projects 'not completed' |  | COUNT TOTAL CLIENT CALLS & CLIENT PROJECT (column b) AND CLIENT IS NOT N/A (column c)
 |  |  | Total Client Client Calls |  | COUNT TOTAL CLIENT CALLS & CLIENT PROJECT (column b) AND CLIENT IS NOT N/A (column c)
 |  |  | Total Client Calls completed |  | COUNT TOTAL CLIENT CALLS (column b) AND CLIENT IS NOT N/A (column c) & status (column G)
 |  |  | Total Client Calls 'not completed' |  | COUNT TOTAL CLIENT CALLS & CLIENT PROJECT (column b) AND CLIENT IS NOT N/A (column c)
 |  |  | Total Training Days |  | COUNT TOTAL holiday (column b)
 |  |  | Total Holidays |  | COUNT TOTAL training (column b)
 | 2. Filter by month
 | 3. Filter by Client
 |  |  |  |  |  |  |  |  |  |  | [NAME]
 |  |  | Team Information
 |  |  | Client Name | =Client
 |  |  | Total number of Client Calls |  | Total number of Client Proects
 |  |  | Average number of Client Calls |  | Total number of Client Projects
 |  |  | Not started |  | Average number of Client Projects
 |  |  | On hold |  | Not started
 |  |  | In progress |  | On hold
 |  |  | Completed |  | In progress
 |  |  | Time spent on Client Calls |  | Completed
 |  |  |  |  | Time spent on Client Projects
Spreadsheet: 889128d1739840684-dynamic-rows-and-columns-based-on-data-dynamic-rows-and-columns-cru-
Sheet: Lists

YEAR | DAY | FREQUENCY | Calculation
2025 | 1 | Weekly | 7
 |  | Bi-Weekly | 14
 |  | Semimonthly | 15
 |  | Monthly
Spreadsheet: 852872d1702867572-aggregate-function-not-working-with-filter-function-acquisition-channel-report-v2
Sheet: Sheet1

 | 2023-01-01 00:00:00
MS
[NAME]
Travis
JK
Mark
[NAME]
[NAME]
Clinten
Muha
[NAME]
Nick
[NAME]
[NAME] |  | #[NAME]! | #[NAME]! | #[NAME]! | #[NAME]! | #[NAME]! | #[NAME]! |  |  |  | Gumtree | 2013 [NAME] | 1DU2NM | 3938 | 10000 | [NAME]
 | #[NAME]! | #[NAME]! | #[NAME]! | #[NAME]! | #[NAME]! | #[NAME]! | #[NAME]! |  |  | 2023-12-07 00:00:00 | Gumtree | 2022 Hyundai Tucson Elite | 1ZC6UF | 3954 | 33000 | [NAME]
 | #[NAME]! | #[NAME]! | #[NAME]! | #[NAME]! | #[NAME]! | #[NAME]! | #[NAME]! |  |  | 2023-12-07 00:00:00 | Facebook | 2020 Hyundai Kona | 1ZB6RQ | 3973 | 22700 | [NAME]
 | #[NAME]! | #[NAME]! | #[NAME]! | #[NAME]! | #[NAME]! | #[NAME]! | #[NAME]! |  |  | 2023-12-11 00:00:00 | Gumtree | 2021 Suzuki  ignis | [NAME] | 3992 | 15000 | [NAME]
 | #[NAME]! | #[NAME]! | #[NAME]! | #[NAME]! | #[NAME]! | #[NAME]! | #[NAME]! |  |  | 2023-12-14 00:00:00 | Carsales | 2017 [NAME] | 1LV3FL | 4010 | 43500 | [NAME]
Spreadsheet: 827242d1682577622-random-generator-that-identifies-a-percentage-amount-from-a-data-selection-random-generator
Sheet: Sheet1

Place | Selected
1
2
3
8
9
10 | 1 |  | Expected Results - 5% of Data Selection randomly generated
11
12
13
18
19
20
21
22
25
26
27
30
31
32
Spreadsheet: 134312d1325189964-help-with-if-statement-for-accruing-sick-time-sick-time-accrual
Sheet: Sheet1 (2)

Carried Fwd | 60 | 40
Accrued
Total Hours
Jan |  |  |  |  | 11
Feb |  |  |  |  | 10
Mar |  |  |  |  | 9
Apr |  |  |  |  | 8
May |  |  |  |  | 7
Jun |  |  |  |  | 6
Jul |  |  |  |  | 5
Aug |  |  |  |  | 4
Sep |  |  |  |  | 3
Oct | 15 |  |  |  | 2
Nov |  |  |  |  | 1
Dec
Hours taken
Hours Left
IF(AND(B2<80, [NAME], D5>E5), E5, D5, IF(AND(B2<80, D6<=80-B2, D6>E6), E6, D6, IF(AND(B2<80, [NAME], D7>E7), [NAME], [NAME], IF(AND(B2<80, D8<=80-B2, D8>E8), E8, D8, IF(AND(B2<80, D9<=80-B2, D9>E9), E9, D9, IF(AND(B2<80, D10<=80-B2, D10>E10), E10, D10, IF(AND(B2<80, D11<=80-B2, D11>E11), E11, D11, IF(AND(B2<80, [NAME], [NAME]), E12, D12, IF(AND(B2<80, [NAME], D13>[NAME]), [NAME], D13, IF(AND(B2<80, D14<=80-B2, D14>E14), E14, D14, IF(AND(B2<80, D15<=80-B2, D15>E15), E15, D15)))))))))))
Spreadsheet: 99655d1298272265-overdue-sample-data
Sheet: Sheet1

 | Invoice Date | Credit Period | Payment Due Date | Payment Status |  | Days Overdue
 | 2011-01-31 00:00:00 | 30 | 2011-03-02 00:00:00 |  |  | -9
 | 2011-02-04 00:00:00 | 45 | 2011-03-21 00:00:00 |  |  | -28
 | 2011-01-27 00:00:00 | 30 | 2011-02-26 00:00:00 |  |  | -5
 | 2011-01-14 00:00:00 | 30 | 2011-02-13 00:00:00 | Overdue |  | 8
 | 2011-01-14 00:00:00 | 30 | 2011-02-13 00:00:00 | Overdue |  | 8
 | 2011-01-20 00:00:00 | 30 | 2011-02-19 00:00:00 | Overdue |  | 2
 | 2011-01-20 00:00:00 | 0 | 2011-01-20 00:00:00 | Overdue |  | 32
 | 2011-01-20 00:00:00 | 0 | 2011-01-20 00:00:00 | Overdue |  | 32
 | 2011-01-20 00:00:00 | 0 | 2011-01-20 00:00:00 | Overdue |  | 32
 | 2011-01-20 00:00:00 | 30 | 2011-02-19 00:00:00 | Overdue |  | 2
 | 2011-02-10 00:00:00 | 30 | 2011-03-12 00:00:00 |  |  | -19
 | 2011-01-27 00:00:00 | 30 | 2011-02-26 00:00:00 |  |  | -5
 | 2011-02-16 00:00:00 | 30 | 2011-03-18 00:00:00 |  |  | -25
 | 2011-02-17 00:00:00 | 0 | 2011-02-17 00:00:00 | Overdue |  | 4
 | 2011-02-17 00:00:00 | 0 | 2011-02-17 00:00:00 | Overdue |  | 4
 | 2011-02-17 00:00:00 | 0 | 2011-02-17 00:00:00 | Overdue |  | 4
 | 2011-02-17 00:00:00 | 0 | 2011-02-17 00:00:00 | Overdue |  | 4
 | 2011-02-17 00:00:00 | 0 | 2011-02-17 00:00:00 | Overdue |  | 4
 | 2011-02-18 00:00:00 | 30 | 2011-03-20 00:00:00 |  |  | -27
Spreadsheet: 19a1d776-a4e3-4e24-85e9-0dc16b9a7b8f
Sheet: Sheet1

Name | Sequence | Remarks
TM346 | 5'-GCCGCTCTTCACACCCAT-3' | Sense primer
TM347 | 5'-AGCAGGGCAGAAAGCATCAC-3' | Antisense primer
TM348 | 5'-TGTTGGATACAGGCCAGACTTTGTTGGAT-3' | Probe: FAM coupled
HPRTa | 5'-CTGGTGAAAAGGACCTCTCG-3' | Sense primer
HPRTb | 5'-TGAAGACTCATTATAGTCAAGGGCA-3' | Antisense primer
HPRT-YY | 5'-CGACGTGGTTGGAGAT-3' | Probe: Yakima Yellow
WTf | 5'-GCAGACAGGCTGTGTATATC-3' | Sense primer
WTr | 5'-ATCTAACCGGGAATCCTTGG-3' | Antisense primer
SHIf | 5'-AGAGATGCGTGCTGACAGG-3' | Sense primer
SHIr | 5'-GTGTGTGAACACCTGCCTGC-3' | Antisense primer
Spreadsheet: 140639d1328830087-using-an-if-statement-to-pull-data-from-other-cells-if-a-certain-word-is-used-excel-question
Sheet: Excel Question

TCA | 20000
ROB | 10000
TTRA | 20000
TCA | 5000
Total
Total
Spreadsheet: 197705d1354540231-linking-a-worksheet-to-a-pivot-table-example-1-
Sheet: Site analysis P&L

Sum of GoodsValueInBaseCurrency
 | Department | Sum of Site 1 | Sum of Site 2 | Sum of Site 3 | Grand Total
Turnover | Turnover
Sales | Sales
Direct Expenses | Direct Expenses
Direct Wages Gross | Direct Wages Gross
Direct Wages ERS NIC | Direct Wages ERS NIC
Total Direct Costs | Total Direct Costs
Gross Profit | Gross Profit
Staff Wages | Staff Wages
Branch staff salaries and ERS NIC | Branch staff salaries and ERS NIC
Total Staff Wages
Gross Profit After Staff Wages | Gross Profit After Staff Wages
Overheads | Overheads
Rent and Rates | Rent and Rates
Heat, Light and Power | Heat, Light and Power
Motor Expenses | Motor Expenses
Travelling and Entertainment | Travelling and Entertainment
Printing and Stationery | Printing and Stationery
Professional Fees | Professional Fees
Bank Charges and Interest | Bank Charges and Interest
Bad Debts | Bad Debts
General Expenses | General Expenses
Suspense & Mispostings | Suspense & Mispostings
Insurances | Insurances
Repairs and renewals | Repairs and renewals
Hotels | Hotels
Staff Entertaining | Staff Entertaining
Work wear | Work wear
Vehicle Leasing | Vehicle Leasing
Telephone | Telephone
Computer maintenance and support | Computer maintenance and support
Other Pensions | Other Pensions
[NAME] Claims | [NAME] Claims
Advertising | Advertising
Staff Training | Staff Training
Depreciation | Depreciation
Class 1A NIC | Class 1A NIC
Clock Card Costs | Clock Card Costs
Total Overheads | Total Overheads
Wage Deductions | Wage Deductions
[NAME] | [NAME]
Workwear Deposits | Workwear Deposits
Parking Fine Contributions | Parking Fine Contributions
Total Wage Deductions | Total Wage Deductions
Profit and Loss before Tax | Profit and Loss before Tax
Spreadsheet: 00830e50-aa4b-4484-8522-d3c2ebfd293e
Sheet: Sheet1

AMERICAN SOCIETY OF HEMATOLOGY (ASHTM)                                 Bridge Grant Budget - Supplemental Information
Bridge Grant Program Applicant Name:
Institution:
Directions:  In the cells below please provide all the direct costs of grant support (including NIH, non-NIH support, and no-cost extension monies) committed to the above named applicant from July 1, 2013 to June 30, 2014.  Additionally provide salary breakdown for calendar year 2012 and the salary amount requested on the underlying R01.
I. Direct Cost of Grant Support Committed for July 1, 2013 - June 30, 2014
SOURCE |  | DOLLAR AMOUNT | PERCENT OF SALARY COVERED
Total
II. [NAME] for Calendar Year 2012 ([NAME] only, no benefits information should be included)
PERCENT FOR:
RESEARCH
EDUCATIONAL ACTIVITIES
CLINICAL CARE
OTHER
III. Primary Investigator's [NAME] for First Year on Underlying R01 ([NAME] only, no benefits information should be included).
0
Please note the information provided on this form will not be shared with the Bridge Grant Study Section and will only be used for the purpose of determining the named applicant's eligibility.
Authorized Official's Signature:___________________________________________     Date:________________________
Title:_______________________________________________________
Spreadsheet: 749944d1633106759-value-error-in-if-countif-formula-sample-1
Sheet: Feb

February
1 | 2 | 3 | 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
ne
Spreadsheet: 68079d1268651199-sumif-but-need-to-count-rather-than-sum-formula-question-sumif-but-count-instead
Sheet: Sheet1

This is the data to be analysed:
 |  | Order values per week
Client | Region | Wk1 | Wk2 | Wk3 | Wk4 | Wk5 | Wk6 | Wk7 | Wk8 | And so on..... | To date
Client 1 | Kent | 25 | 10 |  | 50 |  |  | 60 | 75
Client 2 | Sussex | 10 | 15 | 5 |  |  | 60 |  | 15
Client 3 | [NAME] | 5 |  |  | 20 | 50 | 100 |  | 5
Client 4 | Bucks | 75 | 30 |  | 10
Client 5 | Kent | 60 | 20 | 45 | 60 | 70 |  | 50 | 90
Client 6 | Sussex | 80 | 50 | 25 | 45 | 20 | 15 |  | 10
Client 7 | Kent | 20 | 5 | 60 |  | 55 | 25 | 15 | 10
Client 8 | Sussex |  | 40 | 40 | 40 | 45 | 30 |  | 20
Client 9 | Essex | 35 | 35 | 35 | 35 | 35 |  | 35 | 35
Client 10 | [NAME] |  |  |  | 20 | 20 | 20 |  | 20
Using SUMIF, I can get the values spent in each region in each week as follows:
Bucks
Essex
[NAME]
Kent
[NAME]
Sussex
The forumla I am after, is the same as above but rather than a SUM, I want a COUNT, so I know how many clients each week in each region.
The answer I am looking for is as follows.
Bucks |  | 1 | 1 |  | 1
Essex |  | 1 | 1 | 1 | 1 | 1 |  | 1 | 1
[NAME] |  | 1 |  |  | 1 | 1 | 1 |  | 1
Kent |  | 3 | 3 | 2 | 2 | 2 | 1 | 3 | 3
[NAME] |  |  |  |  | 1 | 1 | 1 |  | 1
Sussex |  | 2 | 3 | 3 | 2 | 2 | 3 |  | 3
Spreadsheet: 704317d1605498080-data-rearrangement-in-row-book3-2-
Sheet: Sheet2

Column1 | Column2 | Column3 | Column4 | Column5 | Column6 | Column7 | Column8 | Column9 | Column10 | Column11 | Column12 | Column13 | Column14 | Column15 | Column16 | Column17 | Column18 | Column19 | Column20 | Column21 | Column22 | Column23 | Column24 | Column25 | Column26 | Column27 | Column28 | Column29 | Column30 | Column31 | Column32 | Column33
1 | 2 | 3 | 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 | 32 | 33
Spreadsheet: 777960d1650725194-get-number-of-seconds-between-two-dates-in-excel-excluding-part-of-weekend-and-holidays-time-between-hours
Sheet: Holidays

Holidays | Weekday
2022-04-01 00:00:00
2022-04-30 00:00:00
Spreadsheet: kimberly_watson__20556__imbalsumm0109
Sheet: NS Steel

 | North Star Steel
 | POI 500383 - North Start Steel IC
Day | Measured | Scheduled
1 | -1376 | -2139
2 | -2054 | -2139
3 | -664 | -2139
4 | -1983 | -2139
5
6
7
8 |  |  |  |  |  |  |  |  |  |  | Avg
9 |  |  |  |  |  |  | Month | Measured | Scheduled | Imbalance | Index | Amount
10
11 |  |  |  |  |  |  | 2001-01-01 00:00:00 | -50582 | -68700 |  | 8.21
12 |  |  |  |  |  |  | 2001-02-01 00:00:00 | -54068 | -70278 |  | 5.62
13 |  |  |  |  |  |  | 2001-03-01 00:00:00 | -58719 | -82564 |  | 4.98
14 |  |  |  |  |  |  | 2001-04-01 00:00:00 | -52309 | -39370 |  | 4.87
15 |  |  |  |  |  |  | 2001-05-01 00:00:00 | -57841 | -49325 |  | 3.82
16 |  |  |  |  |  |  | 2001-06-01 00:00:00 | -50325 | -65214 |  | 3.2
17 |  |  |  |  |  |  | 2001-07-01 00:00:00 | -43678 | -59252 |  | 2.77
18
19
20
21
22
23
24
25
26
27
28
29
30
31
2001-08-31 00:00:00 |  |  | -420252
2001-09-04 00:00:00
CBS Volume
 |  |  | -77671
Spreadsheet: 160476d1339090903-excel-2007-index-with-duplicates-department-updates-and-announcements
Sheet: HRODSSI

Announcement Number | Employee Announcements
HR/OD/SSI1
HR/OD/SSI2
HR/OD/SSI3
HR/OD/SSI4
HR/OD/SSI5
Announcement Number | Manager [NAME]
HR/OD/SSI1manager
HR/OD/SSI2manager
HR/OD/SSI3manager
Spreadsheet: 329924d1404458987-sales-projection-dc-final
Sheet: DC-India continent wise cumu

 | India | FY08-09 | FY09-10 | FY10-11 | FY11-12 | FY12-13 | FY13-14 | Total | Share | Growth | CAGR | CAGR %
 | Europe | 67920 | 79548 | 152631 | 202442 | 164411 | 274324
 | Asia | 1872193 | 1780169 | 3872739 | 4663954 | 2693998 | 4439241
 | America | 192631 | 186280 | 158359 | 257612 | 108990 | 128180
 | Africa | 40550 | 4064 | 6000 | 49470 | 36822 | 323960
 | Indonesi |  |  |  |  |  |  |  |  | CAGR | CAGR
 | Europe | 16320 | 11436 | 10092 | 14672 | 21475 | 23778
 | Asia | 36441 | 38426 | 26450 | 23688 | 16644 | 24585
 | America | 4308 | 5343 | 5881 | 5752 | 8066 | 7908
 | Africa | 2588 | 2340 | 3887 | 2630 | 4179 | 3479
 | Philipines
 |  |  |  |  |  |  |  | Total | [NAME] | CAGR
 | Europe | 53757 | 68607 | 51038 | 44618 | 36028 | 38244
 | Asia | 27060 | 26430 | 23227 | 23002 | 30477 | 24047
 | America | 46468 | 43940 | 39463 | 38933 | 43382 | 34546
 | Africa | 1740 | 2490 | 1648 | 1864 | 1744 | 1843
 | Srilanka
 |  | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | Total | Share | CAGR | CAGR%
 | Europe | 13281 | 9509 | 8936 | 8355 | 12642 | 10211
 | Asia | 21716 | 18686 | 21432 | 13455 | 21176 | 18671
 | America | 1733 | 1782 | 1543 | 2326 | 3304 | 4167
 | Africa | 5905 | 4452 | 5862 | 3827 | 6107 | 5694
 | Total export of DC(2007-2012) Continent wise
 |  | Indonesia | Phillipines | Srilanka | Total | [NAME] | CAGR | CAGR%
 | Europe | 97773 | 292292 | 62934
 | Asia | 166234 | 154243 | 115136
 | America | 37258 | 246732 | 14855
 | Africa | 19103 | 11329 | 5694
 | Imoprts | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | Total | Share | CAGR | CAGR
 | Europe | 126570 | 118240 | 107933 | 107976 | 115824 | 110692 | 687235
 | Asia | 87111 | 75685 | 86449 | 85046 | 87224 | 72135 | 493650
 | America | 59949 | 49387 | 58119 | 60984 | 75746 | 70511 | 374696
 | Africa | 12816 | 18623 | 32877 | 14206 | 21286 | 18753 | 118561
 | Share of I+P+S in total imports of Continnets
 |  |  |  | Share
 | Europe | 687235 | 452999
 | Asia | 493650 | 435613
 | America | 374696 | 298845
 | Africa | 118561 | 36126
Spreadsheet: darrell_schoolcraft__7326__imball0202
Sheet: WTG inc

 | contract 21816
 | 10518 |  | 13276 |  | 13475 |  | 500176 |  | 500390 |  | 500612
 | WTX Gas Parmer |  | Fred Born #1 |  | WTX Water Systems |  | [NAME] |  | [NAME] |  | TW/WTG Hansford
Day | Measured | Scheduled | Measured | Scheduled | Measured | Scheduled | Measured | Scheduled | Measured | Scheduled | Measured | Scheduled
1 |  |  |  |  |  |  |  |  |  |  | -970 | -824
2 |  |  |  |  |  |  |  |  |  |  | -1043 | -824
3 |  |  |  |  |  |  |  |  |  |  | -872 | -824
4 |  |  |  |  |  |  |  |  |  |  | -727 | -824
5 |  |  |  |  |  |  |  |  |  |  | -670 | -824
6 |  |  |  |  |  |  |  |  |  |  | -720 | -824
7 |  |  |  |  |  |  |  |  |  |  | -648 | -824
8 |  |  |  |  |  |  |  |  |  |  | -711 | -824
9 |  |  |  |  |  |  |  |  |  |  | -466 | -824
10 |  |  |  |  |  |  |  |  |  |  | -1017 | -824
11 |  |  |  |  |  |  |  |  |  |  | -720 | -824
12 |  |  |  |  |  |  |  |  |  |  | -827 | -824
13 |  |  |  |  |  |  |  |  |  |  | -701 | -824
14 |  |  |  |  |  |  |  |  |  |  | -674 | -824
15 |  |  |  |  |  |  |  |  |  |  | -736 | -824
16 |  |  |  |  |  |  |  |  |  |  | -630 | -824
17 |  |  |  |  |  |  |  |  |  |  | -689 | -824
18 |  |  |  |  |  |  |  |  |  |  | -656 | -824
19 |  |  |  |  |  |  |  |  |  |  | -792 | -824
20 |  |  |  |  |  |  |  |  |  |  | -689 | -824
21 |  |  |  |  |  |  |  |  |  |  | -725 | -824
22 |  |  |  |  |  |  |  |  |  |  | -743 | -824
23 |  |  |  |  |  |  |  |  |  |  | -708 | -824
24
25
26
27
28
29
30
31
2002-01-31 00:00:00 |  |  |  |  |  |  |  |  |  |  |  |  | 25186.41
2002-02-20 00:00:00
CBS Volume
 |  |  | 8555
Spreadsheet: 785335d1656345640-sumif-or-similar-to-roll-up-most-current-data-from-other-sheets-test-workbook
Sheet: Credit Card

Date | Balance | Payment | Past Due | MOP | Terms | High Credit | Credit Limit | Balloon Payment | Charge Off | 30 | 60 | 90 | #M
2022-04-09 00:00:00 | 150 | 0 | 0 | 1 | 0 | 150 | 5000 | 0 | 0 | 0 | 0 | 0 | 1
2022-05-09 00:00:00 | 150 | 150 | 0 | 1 | 10 | 185 | 5000 | 0 | 0 | 0 | 0 | 0 | 2
2022-06-09 00:00:00 | 713 | 150 | 0 | 1 | 10 | 713 | 5000 | 0 | 0 | 0 | 0 | 0 | 3
2022-07-09 00:00:00
2022-08-09 00:00:00
2022-09-09 00:00:00
2022-10-09 00:00:00
2022-11-09 00:00:00
2022-12-09 00:00:00
2023-01-09 00:00:00
2023-02-09 00:00:00
2023-03-09 00:00:00
2023-04-09 00:00:00
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2023-12-09 00:00:00
2024-01-09 00:00:00
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2024-03-09 00:00:00
2024-04-09 00:00:00
2024-05-09 00:00:00
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2024-08-09 00:00:00
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