tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 850909d1701211465-need-to-reference-a-relative-cell-in-conditional-formatting-example
Sheet: Sheet3

 |  | Age at Death | 63 | 64 | 65 | 66 | 67 | 68 | 69 | 70 | 71 | 73 | 74 | 75 | 76 | 77 | 78 | 79 | 80 | 81 | 82 | 83 | 84 | 85 | 86 | 87 | 88 | 89 | 90 | 91 | 92 | 93 | 94 | 95 | 96 | 97 | 98 | 99 | 100
Age at Start | Yearly Amount
62 | 2390
63 | 2582
64 | 2754
65 | 2983
66 | 3213
67 | 3442
68 | 3580
69 | 3855
70 | 4268
Conditional formatting question. How to make the cells in C3..AM10 display in green if its value is greater than the cell below it else display in red. |  |  |  | In the above data, [NAME] should be green. D4..[NAME] should be green. Etc |  |  |  | In the above data, P3..AM3 should be Red. T4..AM4 should be red. Etc |  |  |  | When the values in B3..B11 change, the appropriate cells in C3..AM3 should change to green/red. |  |  |  | I don't know how to make a rule/formula reference the cell directly below it/one row down.
Spreadsheet: 386425d1427789219-index-and-match-formula-not-function-testing-6-gk
Sheet: unrecon

Report Entity | Document Number
Spreadsheet: 155977d1337121729-a-fun-one-matching-rows-to-columns-pivottable
Sheet: Sheet1

Name | Team | Date of birth | Average |  | Team | Name | Number of players
[NAME] | Bulls |  |  |  | Bulls | [NAME] | 1
[NAME] | Suns |  |  |  |  | Scottie Pippen | 1
Babe Ruth Yankees |  |  |  |  | Bulls Total |  | 2
[NAME] | Knicks |  |  |  | Knicks | [NAME] | 1
Scottie Pippen | Bulls |  |  |  | Knicks Total |  | 1
[NAME] | Spurs |  |  |  | Spurs | [NAME] | 1
[NAME] | Suns |  |  |  | Spurs Total |  | 1
[NAME] | Yankees |  |  |  | Suns | [NAME] | 1
 |  |  |  |  |  | [NAME] | 1
 |  |  |  |  | Suns Total |  | 2
 |  |  |  |  | Yankees | [NAME] | 1
 |  |  |  |  | Yankees Total |  | 1
 |  |  |  |  | (blank) | Babe Ruth Yankees | 1
 |  |  |  |  | (blank) Total |  | 1
 |  |  |  |  | Grand Total |  | 8
 |  |  |  |  | Sum of Average | Name
 |  |  |  |  | Team | Babe Ruth Yankees | [NAME] | [NAME] | [NAME] | [NAME] | [NAME] | Scottie Pippen | [NAME] | Grand Total
 |  |  |  |  | Bulls |  |  |  |  | 7 |  | 7 |  | 14
 |  |  |  |  | Knicks |  |  |  |  |  | 6 |  |  | 6
 |  |  |  |  | Spurs |  |  | 8 |  |  |  |  |  | 8
 |  |  |  |  | Suns |  | 8 |  |  |  |  |  | 7 | 15
 |  |  |  |  | Yankees |  |  |  | 7 |  |  |  |  | 7
 |  |  |  |  | (blank) | 8 |  |  |  |  |  |  |  | 8
 |  |  |  |  | Grand Total | 8 | 8 | 8 | 7 | 7 | 6 | 7 | 7 | 58
Spreadsheet: 859051d1707499742-power-query-merge-applied-steps-power-query-help-2-
Sheet: Sheet1

AddressRef | Address Name | Street | City | PostCode | Region Name.1
1 | Address 1 | Street 1 | City 1 | PostCode 1 | North
5 | Address 5 | Street 5 | City 5 | PostCode 5 | North
2 | Address 2 | Street 2 | City 2 | PostCode 2 | South
3 | Address 3 | Street 3 | City 3 | PostCode 3 | East
4 | Address 4 | Street 4 | City 4 | PostCode 4 | West
6 | Address 6 | Street 6 | City 6 | PostCode 6 | South
Spreadsheet: mary_fischer__25626__1291
Sheet: ELIST.XLS

ENRON CORP AND CONSOLIDATED SUBSIDIARIES
COMPANY #  1291 |  | (Please print)  PREPARED BY: | Sonya City
COMPANY NAME    MEP Services Fair Value Co.
E-SCHEDULES CHECK LIST
For the period ending: 06/30/2001 |  | REVIEWED BY: | [NAME]
*  PRIORITY SCHEDULE
SCH | CONSOL ACCT | QUARTERLY SCHEDULES | COMPLETED or N/A
E-1 | 053, 060 | A/R - Other | N/A
E-2 * | 195 | Other Current Assets | N/A
E-3 * | TOT_INVEST_SUBS | Investment in Unconsolidated
 | TOT_EQEARN_OTH | Affiliates, Partnerships & Joint Ventures | N/A
E-4 * | 269, 270, 280 | Merchant and Other Investments | N/A
E-5 | 344 | Goodwill | completed
E-6 * | TOT_PPE | Property, Plant & Equipment | completed
 | [NAME] | Depreciation, Depletion & Amortization
[NAME] * | 343, 360 | Other Deferred Charges | N/A
E-11* | 655 | Other Current Liabilities | completed
E-12 * | 450,  TOT_NP_OTHER | Short-Term and Long-Term Debt | N/A
 | 770,  705,  775,  765
E-14* | 860 | Other Deferred Credits | N/A
E-15 | 855 | Minority Interests | N/A
E-16* | 1676 | (Gain) Loss on Sales of Assets | N/A
E-20* | 1690, 1775 | Other Income and Other Deductions | N/A
E-21 |  | Lease Expense & Future Lease Commitments | N/A
E-31 | VARIOUS ACCOUNTS | Equity/Invmt Sub | completed
E-36 | TOT_INVEST_SUBS | Investee's Summarized Information | N/A
 | TOT_EQEARN_OTH
 |  | ADDITIONAL SCHEDULES FOR YEAR END ONLY
E-18 | 65, 641, 815, 840 | Analysis of Reserve Items | N/A
Spreadsheet: 477636bb-cc32-49cc-920b-5d6016cc895e
Sheet: Sheet1

Permit No.: | Unnamed: 1 | WQ0023261 | Unnamed: 3 | Facility Name: | Unnamed: 5 | Swansboro WWTF | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | County: | Onslow | Unnamed: 13 | Month: | Unnamed: 15 | Unnamed: 16 | Year: | Unnamed: 18
PPI: |  | 001 | Flow Measuring Point: |  |  |  |  |  |  | Parameter Monitoring Point:
Parameter Code |  |  | 50050 | 00310 | 00680 | 00940 | 50060 | 31616 | 00610 | 00625 | 00620 | 00400 | 00545 | 70295 | 00530 | 00076
Day | ORC Arrival Time | ORC Time On Site | Flow | BOD5 | Total Organic Carbon | Chloride | Total Residual Chlorine | Fecal Coliform | Ammonia | Total [NAME] | Nitrate | pH | Settleable Solids | Total Dissolved Solids | Total Suspended Solids | Turbidity
 | 24-hr | hrs | GPD | mg/L | mg/L | mg/L | mg/L | #/100 mL | mg/L | mg/L | mg/L | su | mL/L | mg/L | mg/L | NTU
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
Average:
Daily Maximum:
Daily Minimum:
Sampling Type: |  |  | Recorder | Composite | Grab | Grab | Grab | Grab | Composite | Composite | Composite | Grab | Grab | Grab | Composite | Recorder
Monthly Limit: |  |  | 600000 | 10 |  |  |  | 14 | 4 |  |  |  |  |  | 5
Daily Limit: |  |  |  | 15 |  |  |  | 25 | 6 |  |  | 6-9 |  |  | 10 | 10
Sample Frequency: |  |  | [NAME] | See Permit | 3 x Year | 3 x Year | 5 x Week | See Permit | See Permit | See Permit | See Permit | 3 x Year | 5 x Week | 3 x Year | See Permit | [NAME]
 |  | Average
 |  | Geomean
 |  | MAX/MIN
Spreadsheet: 88022d1287923651-excel-2007-help-with-daily-entry-for-currency-exchange-accounts-testing-mc-1
Sheet: Data Entry

24/10/2010
MIN | 0.97 |  | 0.95 |  | 0.95 |  | 0.95 |  | 0.95 |  | 0.95 |  | 0.95 |  | 0.95 |  | 0.95 |  | 0.95 |  | 0.95 |  | 0.95
MAX | 1.03 |  | 1.005 |  | 1.005 |  | 1.005 |  | 1.005 |  | 1.005 |  | 1.005 |  | 1.005 |  | 1.005 |  | 1.005 |  | 1.005 |  | 1.005
 | RINGGIT MALAYSIA |  | US DOLLAR |  | INDONESIAN RUPIAH |  | EURO DOLLAR |  | HONG KONG DOLLAR |  | GREAT BRITISH POUND |  | AUSTRALIAN DOLLAR |  | JAPANESE YEN |  | CANADIAN DOLLAR |  | THAILAND BAHT |  | NEW ZEALAND DOLLAR |  | PHILLIPINE PESO
 | RM BUYING |  | US BUYING |  | IDR BUYING |  | EURO BUYING |  | HKD BUYING |  | GBP BUYING |  | AUD BUYING |  | [NAME] |  | CAD BUYING |  | BHT BUYING |  | NZD BUYING |  | PHP BUYING
 |  | 1 ÷ |  |  |  | 1 ÷
BUYING
MIN
MAX
 | RM SELLING |  | US SELLING |  | IDR SELLING |  | EURO SELLING |  | HKD SELLING |  | GBP SELLING |  | AUD SELLING |  | JPY SELLING |  | CAD SELLING |  | BHT SELLING |  | NZD SELLING |  | PHP SELLING
SELLING
MIN
MAX
 |  |  | BUYING / IN | SELLING / OUT | TRANSACTED RATE | TYPE | TRANSACTION TYPE |  |  | TOTAL SALES
 | 23rd October 2010 |  | 20 | Easi Card $10 x 2 |  |  |  |  | RM SELLING | [NAME]
 |  |  | 40 | 94 |  |  |  |  |  | BND IN
 |  |  | 100 | 235 |  |  |  |  |  | AVERAGE RATE
 |  |  | 200 | 470
 |  |  | 100 | 235 |  |  |  |  | RM BUYING | RM BOUGHT
 |  |  | 80 | 188 |  |  |  |  |  | BND OUT
 |  |  | 100 | 235 |  |  |  |  |  | AVERAGE RATE
 |  |  | 10 | Easi Card $10 x 1
 |  |  | 200 | 470
 |  |  | 100 | 235
 |  |  | 106 | 249
 |  |  | 100 | 235
 |  |  | 100 | 118
 |  |  | 81 | 33
 |  |  | 343 | 140
 |  |  | 118 | 48
 |  |  | 165 | 67.3
 |  |  | 100 | 165
 |  |  | 10 | Easi Card $10 x 1
 |  |  | 5 | Easi Card $5 x 1
 |  |  | 15 | Easi Card $5 x 3
 |  |  | 100 | 235
 |  |  | 20 | 47
 |  |  | 100 | 235
 |  |  | 60 | 141
 |  |  | 100 | 235
 |  |  | 18 | 42
 |  |  | 30 | 70
 |  |  | 300 | 705
 |  |  | 35 | 82
 |  |  | 400 | 940
 |  |  | 100 | 235
 |  |  | 60 | 141
 |  |  | 100 | 235
 |  |  | 90 | 37.6
 | 24th October 2010 |  | 5 | 2
 |  |  | 20 | 47
 |  |  | 51 | 119
 |  |  | 127.7 | 300
 |  |  | 20 | 47
 |  |  | 100 | 235
 |  |  | 100 | 235
 |  |  | 42 | 17
 |  |  | 300 | 705
 |  |  | 200 | 81.6
 |  |  | 150 | 61
 |  |  | 61 | 143
 |  |  | 550 | 224.4
 |  |  | 400 | 163.2
 |  |  | 2.5 | 1
 |  |  | 25 | 41.2
 |  |  | 2.5 | 1
 |  |  | 145 | 59
 |  |  | 30 | 35.4
 |  |  | 500000 | 69.4
 |  |  | 50 | 117
 |  |  | 100 | 40.8
Spreadsheet: 838082d1690700370-vba-get-number-of-days-of-hijri-month-in-a-gregorian-month-based-on-input-gregorian-year-arabiccal
Sheet: Sheet1

 | 2033
 | Gregorian Month | Jan |  |  | Total Days | Feb |  |  | Total Days | Mar |  |  | Total Days | Apr |  |  | Total Days | May |  |  | Total Days | Jun |  |  | Total Days | Jul |  |  | Total Days | Aug |  |  | Total Days | Sep |  |  | Total Days | Jan |  |  | Oct | Nov |  |  | Total Days | Dec |  |  | Total Days
 | Hijri Month
 | Number of days
 | match of month
 | month name
 |  |  |  |  |  | `
Spreadsheet: 477495d1472320462-lookup-or-index-match-excelforum
Sheet: Sheet1

Company | Rank | Name |  | Company
Abacus PLC | CEO | Samanmali |  | Rank
Abacus PLC | Manager | Sisira |  | Name
Abacus PLC | [NAME] | [NAME]
Abacus PLC | Labor | Upul
Bambi Inc | CEO | Bandara |  | Abacus PLC
Bambi Inc | Manager | [NAME] |  | Bambi Inc
Bambi Inc | [NAME] | Keerthi |  | Comodo café
Bambi Inc | Labor | [NAME] |  | Dragon's Hotel
Comodo café | CEO | Kanishka
Comodo café | Manager | Niroshan |  | CEO
Comodo café | [NAME] | Samarathunga |  | Manager
Comodo café | Labor | Shantha |  | [NAME]
Dragon's Hotel | CEO | Yoga |  | Labor
Dragon's Hotel | Manager | Weeralal
Dragon's Hotel | [NAME] | Lindara
Dragon's Hotel | Labor | [NAME]
Spreadsheet: 44936d1243684117-excel-2007-moving-data-into-different-cells-dependant-on-date-excel-forum-help-spreadsheet
Sheet: Feb

 | February 2009
 | INCOME | Invoice Reference | Actual |  | EXPENSES | Reference | Cost
 | Professional Fees |  | 0 |  | Petrol |  | 0
 | Travel Expenses Paid |  | 0 |  | Travel Expenses |  | 0
 | Other |  | 0 |  | Accomodation |  | 0
 | INCOME |  |  |  | Subsistence - Meals |  | 0
 | INCOME | Invoice Reference | Actual |  | NI Contribution |  | 0
 | Professional Fees |  | 0 |  | Phone |  | 0
 | Travel Expenses Paid |  | 0 |  | Internet |  | 0
 | Other |  | 0 |  | Clothing |  | 0
 | INCOME |  |  |  | Books / Periodicals |  | 0
 | INCOME | Invoice Reference | Actual |  | Union Subscription |  | 0
 | Professional Fees |  | 0 |  | Accountant Fees |  | 0
 | Travel Expenses Paid |  | 0 |  | IT Hardware |  | 0
 | Other |  | 0 |  | IT Software |  | 0
 | INCOME |  |  |  | Printing Consumables |  | 0
 | INCOME | Invoice Reference | Actual |  | Stationery |  | 0
 | Professional Fees |  | 0 |  | Postage |  | 0
 | Travel Expenses Paid |  | 0 |  | Marketing |  | 0
 | Other |  | 0 |  | Office Furniture |  | 0
 | INCOME |  |  |  | Other |  | 0
 | INCOME | Invoice Reference | Actual |  | TOTAL EXPENSES
 | Professional Fees |  | 0
 | Travel Expenses Paid |  | 0 |  |  | Key :
 | Other |  | 0 |  |  | Invoice Reference | [NAME]
 | INCOME |  |  |  |  | Invoice Reference | Payment Received
 | INCOME | Invoice Reference | Actual
 | Professional Fees |  | 0
 | Travel Expenses Paid |  | 0 |  |  | Total Income
 | Other |  | 0 |  |  | Total Expenses
 | INCOME |  |  |  |  | NET
Spreadsheet: 112452d1308584739-help-with-attendance-tracking-document-formulas-attendance-tracking2
Sheet: Reports

Hourly Absentee Rate for the month 2011
Monthly Absentee Rate
1 | Total number of days lost through job absence in the month.*
2 | Number of hourly employees:
3 | Work days for the quarterWork days in the month
4 | Number of hourly employees times worked days in the month:
5 | Monthly absenteeism rate (line 1 divided by line 4 times 100):
* Absenteeism rate does not include FMLA, jury duty, approved funeral leave, workers comp or vacation
Other absences for the Quarter:
FMLA days for the month:
Jury duty days for the month
Approved funeral leave for the month:
 |  |  | (Would be nice to have it automatically calculate a colun here for each months percentage absentee rate using the above forumlas as well as the total FMLA days used for the month)
Find a Pivot Table below to show what you may be wanting.  Time to learn more about Pivots.
 |  | Data
First date of absence | Employee Name | Sum of Point amount | Sum of Number of days missed. | Sum of Points X Days
Feb | Batman | 1.5 | 3 | 4.5
 | [NAME] | 0 | 28 | 0
Feb Total |  | 1.5 | 31 | 4.5
Mar | [NAME] | 0.5 | 0.5 | 0.25
 | [NAME] | 0.5 | 3 | 1.5
 | Iron Man | 2 | 1.5 | 1.75
[NAME] |  | 3 | 5 | 3.5
Apr | [NAME] | 0 | 0.125 | 0
Apr Total |  | 0 | 0.125 | 0
May | Captain America | 0.5 | 2 | 1
 | [NAME] doe | 0 | 1 | 0
 | Super man | 0 | 3 | 0
 | Wolverine | 0 | 0 | 0
May Total |  | 0.5 | 6 | 1
Jun | Iron Man | 1.5 | 1 | 1.5
 | [NAME] doe | 0.5 | 0 | 0
 | The Incredible hulk | 0 | 0 | 0
Jun Total |  | 2 | 1 | 1.5
Jul | [NAME] | 0 | 28 | 0
Jul Total |  | 0 | 28 | 0
Grand Total |  | 7 | 71.125 | 10.5
Spreadsheet: 203950d1357305230-prorating-monthly-into-weekly-13-01excel-help-upload-jan-4-2013rev1
Sheet: Analysis - Target for 2013

 |  |  | Net |  | Gross (for model only) |  |  | Daily Figures
 |  | Month | Deals | Direct | Deals | Direct |  | Deals | Direct |  |  |  |  |  | 100
 |  | 2013-01-01 00:00:00 | 609750 | 337500 | 731700 | 378000.0000000001
 |  | 2013-02-01 00:00:00 | 569900 | 744187.5 | 683880 | 833490.0000000001
 |  | 2013-03-01 00:00:00 | 298650 | 902947.5000000001 | 358380 | 1011301.2
 |  | 2013-04-01 00:00:00 | 80000 | 1079890.48125 | 96000 | 1209477.339
 |  | 2013-05-01 00:00:00 | 80000 | 1149350.802960938 | 96000 | 1287272.89931625
 |  | 2013-06-01 00:00:00 | 80000 | 1132801.98924375 | 96000 | 1268738.227953
 |  | 2013-07-01 00:00:00 | 80000 | 971133.9507550838 | 96000 | 1087670.024845694
 |  | 2013-08-01 00:00:00 | 80000 | 689635.0118136124 | 96000 | 772391.213231246
 |  | 2013-09-01 00:00:00 | 80000 | 786120.4329685151 | 96000 | 880454.884924737
 |  | 2013-10-01 00:00:00 | 80000 | 847329.960175832 | 96000 | 949009.555396932
 |  | 2013-11-01 00:00:00 | 80000 | 820373.6147048713 | 96000 | 918818.4484694559
 |  | 2013-12-01 00:00:00 | 80000 | 680691.9743325812 | 96000 | 762375.0112524909
 |  |  | 2198300 | 10141963.21820518 | 2637960 | 11358998.80438981
Spreadsheet: 157c4090-ee07-4b2a-b6f3-2674a197768f
Sheet: Viz5-PctNatlAveAz

meta-last-update
meta-source-line
meta-source-url
chart-main-title | Gross Domestic Product Per Employee in Arizona as a Percentage of the National Average | GDP Per Employee
chart-axis-header
chart-title | Gross Domestic Product Per Capita in Arizona as a Percentage of the National Average | GDP Per Capita
Spreadsheet: louise_kitchen__22822__Netco EEs by City on 1-9-02
Sheet: Summary

City | # of Employees
Calgary | 51
Chicago | 4
Denver | 3
Dublin | 1
Houston | 686
London | 1
[NAME] | 3
New York City | 2
Portland | 78
San Francisco | 2
Toronto | 9
Washington | 1
TOTAL
Spreadsheet: 109571d1306398223-multiple-query-results-1-
Sheet: Sheet1

Age | Pieces
 | < 75000 | 75000 to 150000 | 150001 to 250000 | 250001 to 350000 | 350001 to 450000 | 450001 to 550000 | Mais de 550000€
< 45 | QM | QM | 2 | 4 | 6 | 7 | 8
46 to 55 | QM | 1 | 3 | 5 | 7 | 8 | 9
> 56 | 1 | 1 | 3 | 10 | 9 | 9 | 9
 | Age | 57 | 6
 | Pieces | 250010 | E
 | Result | 10
Spreadsheet: 266523d1379644567-add-formula-to-diagram-summary_of_statistics_-_template
Sheet: Sheet1

 |  |  | HIGH & EXTREME INCIDENTS |  |  | RECORDABLE INCIDENTS/INJURIES |  | FIRST AIR INJURIES
 | Operations
 | Maintenance
 | Contractors
 | Totals
 | LOW & MODERATE INCIDENTS
 | Low
 | Moderate
 | Total
 | HAZARD REPORTS
 |  |  | % |  | #
 | General
 | Asbestos
 | Total for Month
 | WORKPLACE INPECTIONS
 |  |  | % |  | #
 | Planned
 | Completed
 | TAS OBSERVATIONS
 |  |  | % |  | #
 | Planned
 | Completed
 | MONTHLY INCIDENTS
 | Approved |  | Not Approved
 | MONTHLY HIGH, EXTREME & RECORDABLE INCIDENT SUMMARY
 | GIRS NO. | Incident Date |  | Description |  |  |  | Supervisor | Superintendent
 | MONTHLY HIGH, EXTREME & RECORDABLE INCIDENT SUMMARY
 | GIRS NO. | Incident Date |  | Description |  |  |  | Supervisor | Superintendent
Spreadsheet: 177857d1346477368-need-help-with-a-table-and-finding-the-last-row-sample-sheet-1-
Sheet: Sheet1

 |  |  | FT | In | Qt
 |  | Yesterday | 5 | 5 | 2 | 5' 5" & 1/2"
 |  | Ticket 1 Top | 2 | 2 | 2 | 2' 2" & 1/2"
 |  | Ticket 1 Bottom | 6 | 6 | 7 | 6" 6"
 |  | Ticket 2 Top | 7 | 5 | 4 | 7'
 |  | Ticket 2 Bottom | 2 | 4 |  | 2'
 |  | Today | 4 |  |  | 2'
Spreadsheet: 134534d1325410749-lookup-question-807619_brewers7
Sheet: PIVOT

ID | Selection# | Name | Sum of PF | Sum of PTS
1 | Starter #1 | [NAME] |  | 12
 | Starter #2 | [NAME] |  | 23
 | Starter #3 | Dikembe Mutombo |  | 40
 | Starter #4 | [NAME] |  | 17
 | Starter #5 | LaPhonso Ellis |  | 2
 | Reserve #1 | [NAME] |  | 3
 | Reserve #2 | Tyrone Corbin |  | 39
 | Reserve #3 | [NAME] |  | 22
 | Reserve #4 | [NAME] |  | 16
 | Reserve #5 | (blank)
 | Reserve #6 | (blank)
 | Reserve #7 | (blank)
 | Reserve #8 | (blank)
2 | Starter #1 | [NAME] |  | 16
 | Starter #2 | (blank)
 | Starter #3 | (blank)
 | Starter #4 | (blank)
 | Starter #5 | (blank)
 | Reserve #1 | (blank)
 | Reserve #2 | (blank)
 | Reserve #3 | (blank)
 | Reserve #4 | (blank)
 | Reserve #5 | (blank)
 | Reserve #6 | (blank)
 | Reserve #7 | (blank)
 | Reserve #8 | (blank)
Grand Total |  |  |  | 190
Spreadsheet: 160853d1339250412-excel-2007-issue-in-dividing-p-and-l-issue-in-dividing-p-and-l-spiros63-oeldere-
Sheet: 1

 |  |  |  | Initial                        Capital
 |  |  |  | 100000
 |  |  | P/L                        % | Results | P/L                                    € | P/L                                    € | P/L                                    € | P/L                                    € | P/L                                    € | P/L                                    € | P/L                                    € | P/L                                    € | P/L                                    € | Progressive                          Capital
 |  | 1 | 0.2395 | 23950 | 1 | ä | 80000 | Trend Reversal Entry | 1.85 | 1.55 | Take Profit Level | 50 | 23950 | 123950
 |  | 2 | -0.2405 | -24050 | 2 | ã | 80000 | Breakout Entry | 1.85 | 1.55 | Stop Loss | 50 | -24050 | 99900 | -0.1940298507462687
 |  | 3 | 0.2395 | 23950 | 3 | ä | 80000 | Wave Entry | 1.85 | 1.55 | Take Profit Level | 50 | 23950 | 123850 | 0.2397397397397398
 |  | 4 | -0.2405 | -24050 | 4 | ã | 80000 | Wave Entry | 1.85 | 1.55 | Stop Loss | 50 | -24050 | 99800 | -0.1941865159467098
 |  | 5 | 0.2395 | 23950 | 5 | ä | 80000 | Breakout Entry | 1.85 | 1.55 | Take Profit Level | 50 | 23950 | 123750 | 0.2399799599198397
 |  | 6 | -0.2405 | -24050 | 6 | ã | 80000 | Trend Reversal Entry | 1.85 | 1.55 | Take Profit Level | 50 | -24050 | 99700 | -0.1943434343434344
 |  | 7 |  |  | 7 | ä | 80000 | Breakout Entry | 1.85
 |  | 8
 |  | 9 | 0.07950000000000007 | 7950.000000000007 | 7 |  |  |  |  | 1.65 | Take Profit  Level 1 | 50 | 7950.000000000007 | 107650
 |  | 10 | 0.1195 | 11950 | 7 |  |  |  |  | 1.55 | Take Profit  Level 2 | 50 | 11950 | 119600 | 0.1110078959591268
 |  | 11
 |  | 12
 |  | 13
 |  | 14
 |  | 15
 |  | 16
 |  | 17
 |  | 18
 |  | 19
 |  | 20
 |  | 21
 |  | 22
 |  | 23
 |  | 24
 |  |  | 0.196 | 119600
Spreadsheet: 781870d1653595368-conditional-formatting-to-highlight-duplicates-book1
Sheet: Sheet1 (2)

ID | Expectation | Column3 | Column4 | Value | Column7 | Column8 | Column9
M4453 | M4453 |  |  | 60
M4453 | M4453 |  |  | 60
5438 | 5438 |  |  | 30
5438 | 5438 |  |  | 30
M0010 | M0010 |  |  | 60
M0010 | M0010 |  |  | 59
Spreadsheet: 879747d1727293229-employee-tardiness-formula-requested-employee-tardiness-formula-requested-by-fr
Sheet: Sheet1

Agent ID | Logged On DateTime
CB11987 | 8/1/24 7:56:27 AM |  |  |  |  |  |  |  |  | Needing formula to return "Late" if first time for the date in Column B is greater than 8:05:00 AM
 | 8/1/24 2:08:01 PM
 | 8/2/24 7:56:47 AM
 | 8/5/24 7:56:43 AM
 | 8/5/24 7:57:54 AM
 | 8/6/24 7:20:03 AM
 | 8/7/24 7:53:13 AM
 | 8/8/24 7:19:24 AM
 | 8/9/24 7:42:45 AM
 | 8/12/24 7:55:09 AM
 | 8/13/24 7:57:23 AM
 | 8/13/24 8:00:38 AM
 | 8/13/24 9:42:23 AM
 | 8/14/24 7:54:00 AM
 | 8/15/24 7:15:09 AM
 | 8/16/24 7:20:45 AM
 | 8/16/24 3:46:48 PM
 | 8/19/24 7:27:29 AM
 | 8/20/24 7:55:21 AM
 | 8/20/24 1:28:08 PM
 | 8/21/24 8:00:33 AM
 | 8/21/24 12:19:30 PM
 | 8/21/24 12:22:30 PM
 | 8/22/24 8:01:07 AM
 | 8/22/24 12:40:22 PM
 | 8/22/24 12:51:41 PM
 | 8/23/24 7:21:24 AM
 | 8/26/24 7:28:06 AM
 | 8/26/24 12:44:27 PM
 | 8/27/24 7:52:20 AM
 | 8/28/24 8:05:36 AM
 | 8/29/24 11:31:43 AM
 | 8/30/24 7:23:32 AM
Spreadsheet: michelle_lokay__26703__imball0112
Sheet: DEFS

 | 23995 |  | 22051
 | 59687 |  | 10703
Day | Measured | Scheduled | Measured | Scheduled | Totals
1 |  |  | 24500 | 24000
2 |  |  | 24489 | 24000
3 |  |  | 24487 | 24000
4 |  |  | 24484 | 24000
5 |  |  | 24523 | 24000
6 |  |  | 24492 | 24000
7 |  |  | 24497 | 24000
8 |  |  | 24506 | 20164
9 |  |  | 24485 | 24000
10 |  |  | 24482 | 24000
11 | 31086 | 30000 | 24331 | 24000
12 | 31519 | 30000 | 24494 | 24000
13 | 1932 |  | 24456 | 24000
14 |  |  | 24527 | 24000
15 |  |  | 24527 | 24000
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30 |  |  |  |  |  |  | CBS Volume | 23995 | 22051
31 |  |  |  |  |  |  |  | -178485 | -108573
2001-11-30 00:00:00 | Balance | -1023166.39 |  | -526596.1
2001-12-15 00:00:00 | Balance
 |  |  |  | Contract #
 |  |  |  | 22864 | 0 | Zia |  |  | 22864
 |  |  |  | 20379 | -51695.87 | Grayco/Artesia |  |  | 20379 | 2979
 |  |  |  | 26357 |  | [NAME] |  |  | 26357
 |  |  |  | 21544 | 61340.16 | [NAME], [NAME] |  |  | 21544 | 36108
 |  |  |  | 24532 | -1132591.35 | 500211,500212,500219,500230 - Coburn points |  |  | 24532 | -139694
 |  |  |  | Duke
20379
24532
21544
26357
22864
23995
22051
21665
22664
24361
26393
24268
Spreadsheet: 723913d1615951275-combining-standard-deviations-samplebook
Sheet: Combined Mean + SD

Study Arm ID | Population Size (N) | Mean (μ) | Standard Deviation (σ)
1
Combined Standard Deviation |  | Need equation for formula on left here based on values above
 |  |  |  |  | Source of [NAME]:
 |  |  |  |  |  | https://atozmath.com/CONM/Ch2_CombinedSD.aspx
 |  |  |  |  | MathJax Equation Source:
 |  |  |  |  |  | sigma_(12)=sqrt(((N_1 - 1) * sigma_1^2+(N_2 - 1) * sigma_2^2+(N_1 * N_2)/(N_1 + N_2) * (bar x_1^2 + bar x_2^2 - 2 bar x_1 bar x_2))/(N_1 + N_2 - 1))
Spreadsheet: monika_causholli__28171__CASH COST ANALYSIS
Sheet: Brazil

 |  |  |  |  | FOB Mill
 |  |  |  |  | [NAME] | [NAME] | Cenibra | [NAME] | [NAME] | Riocell | Ripasa SA | Suzano de Papel | Votorantim
 |  |  |  | 2000_Q1
 |  |  |  | 2000_Q2
 |  |  |  | 2000_Q3 | 197 | 203 | 201 | 244 | 237 | 219 | 262 | 268 | 217
 |  |  |  | 2000_Q4 | 180 | 183 | 184 | 224 | 216 | 199 | 241 | 248 |  | 216
 |  |  |  | 2001_Q1 | 178 | 182 | 182 | 222 | 214 | 197 | 238 | 245 |  | 198
Spreadsheet: louise_kitchen__23036__Logistics staff ranking
Sheet: Reduced business staff 

Reduced Business Team - 34 People across all regions (Top ranked employees in each region)
[NAME] | Director
CENTRAL DESK
[NAME] | Manager
[NAME] | Sr. Specialist
[NAME] | [NAME]. Specialist
[NAME] | Sr. Specialist
[NAME] | Sr. Specialist
[NAME] | Specialist
[NAME] | Staff
[NAME] | Staff
EAST DESK
[NAME] | Manager
[NAME] | East Desk Lead
[NAME] | Sr. Specialist
Meredith Homco | Sr. Specialist
[NAME] | Asset Mgmt. Lead
[NAME] | Specialist
[NAME] | Sr.Specialist
[NAME] | Sr. Specialist
[NAME] | Specialist
[NAME] | Staff
TEXAS DESK
[NAME] | Manager
[NAME] | Analyst
TRANSPORT RATES
[NAME] | Manager
UPSTREAM/WELLHEAD DESK
[NAME] | Manager
[NAME] | Specialist
[NAME] | Sr. Specialist
Margie Straight | Sr. Specialist
WEST DESK
[NAME] | Manager
[NAME] | Specialist
[NAME] | Specialist
[NAME] | Specialist
[NAME] | Specialist
[NAME] | Staff
[NAME] | Sr. Specialist
[NAME] | Analyst