tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 84241d1284256405-how-to-list-a-sequence-of-invoices-expiring-the-same-day-excel-forum-
Sheet: financial plan

 | Ingresos | [NAME] | [NAME] |  | [NAME] |  |  |  |  | [NAME]
 |  |  |  |  | cobro | # [NAME] |  |  |  | Nuevas | desembolso | Colaboratores | Equipo | Impuestos | Renta | Otros | total
 |  |  |  |  |  |  |  |  |  | Operaciones | retenido
2014-09-11 00:00:00 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | [NAME]
2014-09-02 00:00:00
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Desembolso | Ingresos
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2014-09-10 00:00:00
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2014-09-11 00:00:00
 |  |  | 940 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2014-09-12 00:00:00
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2014-09-13 00:00:00
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2014-09-14 00:00:00
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2014-09-15 00:00:00 |  | 20000
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2014-09-16 00:00:00
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2014-09-17 00:00:00
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2014-09-18 00:00:00 |  | 150000
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2014-09-19 00:00:00
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2014-09-20 00:00:00
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2014-09-21 00:00:00
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2014-09-22 00:00:00
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2014-09-23 00:00:00
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2014-09-24 00:00:00
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2014-09-25 00:00:00
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2014-09-26 00:00:00
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2014-09-27 00:00:00
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2014-09-28 00:00:00
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2014-09-29 00:00:00
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2014-09-30 00:00:00
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2014-10-01 00:00:00
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2014-10-02 00:00:00
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2014-10-03 00:00:00
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2014-10-04 00:00:00
 |  |  |  |  |  |  |  |  |  | 2014-10-05 00:00:00
 |  |  |  |  |  |  |  |  |  | 2014-10-06 00:00:00
 |  |  |  |  |  |  |  |  |  | 2014-10-07 00:00:00
 |  |  |  |  |  |  |  |  |  | 2014-10-08 00:00:00
 |  |  |  |  |  |  |  |  |  | 2014-10-09 00:00:00
 |  |  |  |  |  |  |  |  |  | 2014-10-10 00:00:00
 |  |  |  |  |  |  |  |  |  | 2014-10-11 00:00:00
 |  |  |  |  |  |  |  |  |  | 2014-10-12 00:00:00
 |  |  |  |  |  |  |  |  |  | 2014-10-13 00:00:00
Spreadsheet: 128593d1321076689-time-sheet-formula-timesheet-formula
Sheet: 2011

Date | Emp | In | Out | Remarks | Total Working Hours | LATE/NOT LATE | EL | SL | VL | WFH | TARDY/ UNDERTIME | HOURS WORKED
 |  |  |  |  | Lates: |  |  |  |  |  |  |  | FIX DATE |  |  | 14:00:00
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14:10:00
2010-04-22 00:00:00 | emp1 | 08:30:00 | 17:00:00 |  |  |  |  |  |  |  |  |  | Absent: |  |  | 22:00:00
 | emp2 | 07:46:00 | 17:00:00
 | emp3 | 07:45:00 | 05:00:00
 |  |  |  |  |  |  |  |  |  |  |  |  | [NAME]. Hrs |  |  | 08:00:00
 |  |  |  |  |  |  |  |  |  |  |  |  | Tardy
Spreadsheet: 69363d1269902417-sumif-with-indirect-sample-book
Sheet: Monthly Report

Monthly Report
Company Name | Owner ID | Gross Revenue After Expenses |  | What it should total | What it should total
 |  | SUM_JAN |  | January | February
Business 1 | 231
Business 2 | 67
Business 3 | 204
Business 4 | 200
Business 5 | 137
Business 6 | 194
Business 7 | 246
Business 8 | 107
Business 9 | 224
Business 10 | 273
Business 11 | 95
Business 12 | 96
Business 13 | 97
Business 14 | 110
Business 15 | 154
Business 16 | 174
Business 17 | 193
Business 18 | 191
Business 19 | 188
Business 20 | 192
Business 21 | 185
Business 22 | 190
Business 23 | 232
Business 24 | 176
Business 25 | 162
Business 26 | 120
Business 27 | 114
Business 28 | 108
Business 29 | 237
Business 30 | 157
Business 31 | 304
Business 32 | 243
Business 33 | 12
Business 34 | 156
Business 35 | 285
Business 36 | 235
Business 37 | 263
Business 38 | 116
Business 39 | 207
Business 40 | 267
Business 41 | 31
Business 42 | 215
Business 43 | 5
Business 44 | 284
Business 45 | 40
Business 46 | 127
Business 47 | 128
Business 48 | 129
Business 49 | 119
Business 50 | 139
Business 51 | 140
Business 52 | 141
Business 53 | 142
Business 54 | 143
Business 55 | 89
Business 56 | 59
Business 57 | 54
Business 58 | 32
0 | 0
0 | 0
0 | 0
0 | 0
0 | 0
0 | 0
0 | 0
0 | 0
0 | 0
0 | 0
0 | 0
0 | 0
0 | 0
0 | 0
0 | 0
Spreadsheet: 377175d1423832844-how-to-sum-x-number-of-cells-example-template
Sheet: Sheet1

TIME | RESULT
1 | 65
2 | 5651231
3 | 1561
4 | 5161
5 | 51518
6 | 213
7 | 35548
8 | 884
9 | 8411
10 | 35511651
11 | 3132
12 | 551
13 | 51165
14 | 51651
15 | 5616516
16 | 58888
17 | 489
18 | 84984
19 | 845313
20 | 56513
Example: The function should find number 15 in column A, and then automatically sum the 5 previous cells in column B (including cell B:16) | RESULT HERE
Spreadsheet: 0a4f370c-bc60-4639-895b-46749d1688ec
Sheet: 2

 | Dec 21 |  | Dec 28 |  | Jan 4 |  | Jan 11
 | Long | Short | Long | Short | Long | Short | Long | Short
Total Interest Rate | 375002189 | 375002189 | 373145478 | 373145478 | 370621611 | 370621611 | 380218108 | 380218108
SD/MSPs | N/A*** | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Financials | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
End Users | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Total Cross-Currency | 16716689 | 16716689 | 16648654 | 16648654 | 16574252 | 16574252 | 16747192 | 16747192
SD/MSPs | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Financials | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
End Users | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Total Credit | 20253627 | 20253627 | 20351555 | 20351555 | 20276576 | 20276576 | 20595813 | 20595813
Dealers** | 17188255 | 17188614 | 17262402 | 17260245 | 17189842 | 17164316 | 17437094 | 17423164
Buyside | 3065372 | 3065012 | 3089153 | 3091310 | 3086734 | 3112260 | 3158719 | 3172648
Total Equity | 5166993 | 5166993 | 5166993 | 5166993 | N/A | N/A | N/A | N/A
SD/MSPs | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Financials | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
End Users | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Total Other Commodity | 3091000 | 3091000 | 3091000 | 3091000 | 3091000 | 3091000 | 3091000 | 3091000
SD/MSPs | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Financials | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
End Users | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Weekly snapshot, estimated gross notional amount outstanding by asset class and participant type (millions of USD), all products, origins, currencies, tenors, and participant types, cleared and uncleared. Data are adjusted for double-counting of cleared trades to show a single exposure for each trade.
*See Data Dictionary for asset class descriptions.
**See Explanatory Notes for participant type descriptions.
***N/A indicates that data are not currently available.
The Commission requests feedback on the format and content of this CFTC Swaps Report table. Submit comments to [EMAIL]
Spreadsheet: 74658d1275162679-non-circular-references-scratch
Sheet: Sheet1

 | Input |  |  |  | Output
 | E | I | R |  | E | I | R
 |  | 2 | 3 |  | 6 | 2 | 3
 | 1 | 2 |  |  | 1 | 2 | 0.5
 | 1 |  | 3 |  | 1 | 0.3333333333333333 | 3
 | 1 |  |  |  | underdefined | underdefined | underdefined
 |  | 1 |  |  | underdefined | underdefined | underdefined
 |  |  | 1 |  | underdefined | underdefined | underdefined
 | 1 | 1 | 1 |  | overdefined | overdefined | overdefined
Spreadsheet: 870300d1716835506-adjustment-of-formulas-from-google-sheets-to-excel-file-below-pic-west123-
Sheet: Sheet1

Time Normal | Tournament | Buy In | Entry | [NAME] | action-sold | Total Prize | Duration | Rank | Result |  | Time Normal | Tournament | Buy In | Entry | [NAME] | action-sold | Total Prize | Duration | Rank | Result
May 25, 19:30 | [NAME] Special $2.50 |  | 1 | 1.1 up to 60% | 1 |  |  |  | 0
May 25, 19:10 | Speed Racer Bounty $3.21 [10 BB] |  | 1 | 1.1 up to 60% | 0.8333 |  |  |  | 0
May 25, 17:05 | Micro Madness $1.88 [Hyper] |  | 3 | 1.1 up to 60% | 0.5 |  |  |  | 0
May 25, 14:10 | Speed Racer Bounty $1.08 [10 BB] |  | 1 | 1.1 up to 60% | 1 |  |  |  | 0
May 25, 12:30 | [NAME] $3.21 |  | 1 | 1.01 up to 50% | 0 |  |  |  | 0
May 25, 09:10 | Speed Racer Bounty $3.21 [10 BB] |  | 1 | 1.1 up to 50% | 1 |  |  |  | 0.75
May 24, 21:05 | Daily Special $3 |  | 2 | 1.01 up to 50% | 1 |  |  |  | 0
May 24, 19:10 | Speed Racer Bounty $3.21 [10 BB] |  | 2 | 1.01 up to 50% | 1 |  |  |  | 0
May 24, 14:10 | Speed Racer Bounty $1.08 [10 BB] |  | 6 | 1.1 up to 30% | 0 |  |  |  | 0
May 25, 19:30 | [NAME] Special $2.50 | 2.5 | 1160 |  |  | 2691.2 | 0.209247685 | 974 / 1,160 | 0
May 25, 19:10 | Speed Racer Bounty $3.21 [10 BB] | 3.21 | 557 |  |  | 1671 | 0.052604167 | 538 / 557 | 0
May 25, 17:05 | Micro Madness $1.88 [Hyper] | 1.88 | 788 |  |  | 1363.24 | 0.139479167 | 787 / 788 | 0
May 25, 17:05 | Micro Madness $1.88 [Hyper] | 1.88 | 788 |  |  | 1363.24 | 0.139479167 | 764 / 788 | 0
May 25, 17:05 | Micro Madness $1.88 [Hyper] | 1.88 | 788 |  |  | 1363.24 | 0.139479167 | 740 / 788 | 0
Spreadsheet: 716875d1612398614-holiday-work-schedule-index-aggregate-countifs-formula-dbrownla-
Sheet: Data

Year | Holiday | Name |  |  |  | Holidays | Names | New Year's Day | [NAME] | Memorial Day | Independence Day | Labor Day | Veterans Day | Thanksgiving | Christmas Day
2013 | New Year's Day | [NAME] |  |  |  | New Year's Day | [NAME]
2013 | [NAME] | [NAME] |  |  |  | [NAME] | [NAME]
2013 | Memorial Day | [NAME] |  |  |  | Memorial Day | [NAME]
2013 | Independence Day | [NAME] |  |  |  | Independence Day | [NAME]
2013 | Labor Day | [NAME] |  |  |  | Labor Day | [NAME]
2013 | Veterans Day | Jessica |  |  |  | Veterans Day | Jessica
2013 | Thanksgiving | [NAME] |  |  |  | Thanksgiving | [NAME]
2013 | Christmas Day | [NAME] |  |  |  | Christmas Day | [NAME]
2014 | New Year's Day | [NAME] |  |  |  |  | [NAME]
2014 | [NAME] | [NAME] |  |  |  |  | [NAME]
2014 | Memorial Day | [NAME] |  |  |  |  | [NAME]
2014 | Independence Day | [NAME]
2014 | Labor Day | [NAME]
2014 | Veterans Day | [NAME]
2014 | Thanksgiving | [NAME]
2014 | Christmas Day | [NAME]
2015 | New Year's Day
2015 | [NAME] | [NAME]
2015 | Memorial Day | [NAME]
2015 | Independence Day | [NAME]
2015 | Labor Day | [NAME]
2015 | Veterans Day | [NAME]
2015 | Thanksgiving | [NAME]
2015 | Christmas Day | [NAME]
2016 | New Year's Day | [NAME]
2016 | [NAME] | [NAME]
2016 | Memorial Day | [NAME]
2016 | Independence Day | Jessica
2016 | Labor Day | [NAME]
2016 | Veterans Day | [NAME]
2016 | Thanksgiving | [NAME]
2016 | Christmas Day | [NAME]
2017 | New Year's Day | [NAME]
2017 | [NAME] | [NAME]
2017 | Memorial Day | [NAME]
2017 | Independence Day | [NAME]
2017 | Labor Day | [NAME]
2017 | Veterans Day | [NAME]
2017 | Thanksgiving | Jessica
2017 | Christmas Day | [NAME]
2018 | New Year's Day | [NAME]
2018 | [NAME] | [NAME]
2018 | Memorial Day | [NAME]
2018 | Independence Day | [NAME]
2018 | Labor Day | [NAME]
2018 | Veterans Day | [NAME]
2018 | Thanksgiving | [NAME]
2018 | Christmas Day | [NAME]
2019 | New Year's Day | [NAME]
2019 | [NAME] | Jessica
2019 | Memorial Day | [NAME]
2019 | Independence Day | [NAME]
2019 | Labor Day | [NAME]
2019 | Veterans Day | [NAME]
2019 | Thanksgiving | [NAME]
2019 | Christmas Day | [NAME]
2020 | New Year's Day | [NAME]
2020 | [NAME] | [NAME]
2020 | Memorial Day | [NAME]
2020 | Independence Day | [NAME]
2020 | Labor Day | Jessica
2020 | Veterans Day | [NAME]
2020 | Thanksgiving | [NAME]
2020 | Christmas Day | [NAME]
2021 | New Year's Day | [NAME]
2021 | [NAME] | [NAME]
2021 | Memorial Day | [NAME]
2021 | Independence Day | [NAME]
2021 | Labor Day | [NAME]
2021 | Veterans Day | [NAME]
2021 | Thanksgiving | [NAME]
2021 | Christmas Day | Jessica
Spreadsheet: 809677d1671214828-formula-that-automatically-distributes-an-average-amount-across-multiple-cells-book1-mofasol-
Sheet: Sheet1

73
73 |  | 95 | 83 | 50 | 52 | 95 | 95 | 50 | 95 | 64 | 51
Spreadsheet: 859600d1707928511-solved-adding-to-base-value-fee-calc-draft-1-
Sheet: Sheet1

Loan Information
Loan # | 134745
Application Date | 2024-02-12 00:00:00 | Rates (mortgagebotlos.com)
 | 2024-03-15 00:00:00
Loan Purpose | Purchase
Product Code | FHLMC
FHA? | No
Property Type | Single Family
ARM? | No
Appraised value | 500000
Loan amount | 144000
LTV
Credit score | 810
 |  | Guide Exhibit 19 (freddiemac.com)
 | No | yes no
 |  | yes no
Fees
Origination Charges
 |  | [NAME]
 |  | [NAME]
 |  | 46.02 if Freddie product
 |  | all 1st mort non-home eq
 |  | exibit 19 x loan amt if freddie
 |  | 4 if freddie product
 |  | 35 if yes for payoff
 |  | if serv sold
 |  | if serv sold
 |  | all 1st mort non-home eq
 |  | all 1st mort non-home eq
Services Borrower Cannot Shop For
Appraisal
Re-cert |  | 150 if needed
Credit Report | 78.76 | From Credit report
[NAME] | 12.25
 |  | 6 if home eq
 |  | 250 if yes to condo
 |  | 500 if yes to DPP
Services Borrower Can Shop For
 |  | all refis
 |  | 450 up to 350,000 loan amt
 |  | all loans
 |  | 175 if yes to ARM
 |  | 65 letter report home eq
Taxes and Other Government Fees
Recording and Deed
 |  | if DPP add recording
Transfer Tax |  | If buyer responsibility
Spreadsheet: 112664d1308714488-formula-for-average-formula-needed
Sheet: QA Feedback Form

Name
Member [NAME]
Date
Greeting | Points | Yes | No | N/A
Did the agent use the appropriate greeting, using company name, offering assistance, and providing his/her name? | 5 | X
Handle Contact
Provider
Did the agent ask for / confirm the caller's name? | 4 | X
Did the agent ask for/ confirm the caller's company Name? | 4 | X
Did the agent ask for / confirm the caller's telephone number? | 4 | X
Did the agent validate the member's identity? | 4
Member
Did the agent ask for / confirm the member's [NAME]? | 4 | X
Did the agent adk for/ confirm the member's Date of Birth? | 4
Did the agent ask for/ confirm the relationship of the caller to the patient/member? | 4 | X
Did the agent ask for/ confirm the member's Address | 4 | X
Did the agent ask for / confirm the member's Telephone Number? | 4 | X
Did the agent verify if the member/dependents have Other Insurance? | 4 | X
Solution information
Did the agent offer the most appropriate solution to meet the caller's needs? | 2.5 | X
Did the agent answer customer questions correctly? | 2.5 | X
CSR
Did the agent complete the CSR in a timely manner? | 10 | X
Did the agent include accurate and necessary content? | 10 | X
Did the agent complete the CSR Form correctly? | 5
Is the CSR free of internal jargon and misspellings? | 5 | X
Phone Etiquette
Did the agent follow the correct procedures for placing a customer on hold? | 4 | X
Did the agent follow the correct procedures for transferring a call? | 2 | X
Did the agent offer further assistance at the end of the call and apply the appropriate closing? | 4 | X
Soft skills
Did the agent avoid long silences during the call? | 1 | X
Did the agent interrupt or talk over the customer? | 1 | X
Did the agent display a professional manner throughout the call? | 1 | X
Did the agent pro-actively add value throughout the call? | 1 | X
Did the agent sound clear and confident throughout the call? | 1 | X
Did the agent refrain from using jargon throughout the call? | 1 | X
Did the agent sound friendly, polite and welcoming? | 1 | X
Did the agent use effective questioning skills? | 1 | X
Did the agent demonstrate active listening? | 1 | X
Did the agent adapt to the customer? | 1 | X
Total | 100 | 27 | 0 | 0
Percent call quality score |  | 1
Comments:
Spreadsheet: 122a6f53-ee02-4fbb-a347-5265106d78f2
Sheet: Sheet1

Table 2 -- Comparison of Mexico sugar and sugarcane forecasts by CNDSCA, USDA, and ERS Sugar and Sweeteners Outlook 1/ | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10
Source | Area harvested | Sugarcane yield | Sugarcane | Sugar |  | Sucrose recovery | Sugar yield
 | ([NAME]) | (tons/hectare) | (tons) | (tons) |  | (percent) | (tons/hectare)
CNDSCA (Nov., 2011) | 718255 | 63.95 | 45929813 | 5339462 |  | 11.63 | 7.433936415339956
CNDSCA (Jan., 2012) | 716890 | 63.81 | 45747744 | 5098901 |  | 11.15 | 7.112529118832736
USDA (Jan., 2012) | 718255 | 63.92317546587945 | 45913140.39424524 | 5001645.598239134 | 2/ | 10.89371268288597 | 6.96360707302996
ERS (March 2012) | 716890 | 62.88883424009848 | 45084376.3783842 | 4915758.833898626 |  | 10.90346419043626 | 6.857061521151957
1/ CNDSCA = Comite Nacional Para El Desarrollo [NAME]
2/ Rounded to 5,000,000 in the January 2012 World Agricultural Supply and Demand Estimates
Source: CNDSCA; USDA, ERS, Sugar and Sweeteners Outlook. |  |  |  |  |  |  |  |  |  | 7.433936415339956
 |  |  |  |  |  |  |  |  |  | 7.112529118832736
 |  |  |  |  |  |  |  |  |  | 6.96360707302996
 |  |  |  |  |  |  |  |  |  | 6.857061521151957
Spreadsheet: 884570d1733803974-stuck-with-formula-to-look-up-to-row-based-on-conditions-bulk-barcodes-copy
Sheet: Driver Data

First Name | Last Name | Capitalise | First initial | 4 digits | Concat | Driver# | Month Start Date
Ant | Man |  |  |  |  | 1 | 2024-12-01 00:00:00
[NAME] | [NAME] |  |  |  |  | 2
Captain | America |  |  |  |  | 3
Dare | Devil |  |  |  |  | 4
[NAME] | Maximoff |  |  |  |  | 5
Thor | Odinson |  |  |  |  | 6
Spreadsheet: 27e1dbf7-f1c1-411a-b889-7c91ea7ccb53
Sheet: 11a

Product1 | Cleared2 | Uncleared | TOTAL
Cross-Currency Basis | 0 | 352 | 352
Cross-Currency Fixed-Fixed | 0 | 77 | 77
Cross-Currency Fixed-Float | 0 | 217 | 217
TOTAL | 0 | 646 | 646
Spreadsheet: 711864d1609951005-summing-based-on-criteria-new-microsoft-excel-worksheet
Sheet: Siječanj

 | Poslovnice | [NAME] | Zaba | Zaba | Lidl | Petrol | [NAME] i pekare | Erste banka | Zaba | Eko obrada | OPG-ovci | [NAME] i pekare | [NAME] i pekare
 | Datum | 2021-01-01 00:00:00 | 2021-01-01 00:00:00 | 2021-01-02 00:00:00 | 2021-01-02 00:00:00 | 2021-01-02 00:00:00 | 2021-01-02 00:00:00 | 2021-01-04 00:00:00 | 2021-01-04 00:00:00 | 2021-01-05 00:00:00 | 2021-01-05 00:00:00 | 2021-01-06 00:00:00 | 2021-01-06 00:00:00
 | Režije
 | Struja
 | Voda
 | Plin / Grijanje
 | [NAME] | 120
 | Internet (naknada + promet)
 | Televizija
 | Vrtić, škola
 | Komunalna naknada
 | Izvan nastavne aktivnosti (nogomet, itd.)
 | Ostale režije
 | Prehrana
 | Osnovne namirnice |  |  |  | 25.47 |  | 17.98 |  |  |  | 81 | 19.18 | 17.35
 | Gluposti/slatkiši |  |  |  | 6.98
 | Obroci izvan kuće
 | Restoran
 | Pića
 | Kućne potrepštine
 | Sitni popravci
 | Namještaj
 | Građevinski materijal |  |  |  |  |  |  |  |  | 50
 | Alat
 | [NAME] proizvodi
 | Domaćinstvo
 | Elektronika
 | [NAME]
 | Osobna higijena (žileti, šamponi, sapuni)
 | Sportska oprema
 | Dekoracije i aranžmani
 | Vrtlarstvo
 | Kultura
 | Kino
 | [NAME]
 | [NAME]
 | Odjeća i obuća
 | Odjeća
 | Obuća
 | Modni dodaci (trobice, sunčane naočale i sl.)
 | Šminka
 | Djeca
 | Odjeća
 | Obuća
 | Dječji pribor
 | Zabavna događanja
 | Kozmetika
 | Potrebštine
 | Igračke |  |  |  | 104.3
 | Kultura
 | Sportska oprema
 | Auto i prijevoz
 | Benzin |  |  |  |  | 292.98
 | Popravci
 | Kozmetika
 | Autopaonica
 | Kazne
 | Tehnički pregled
 | [NAME]
 | [NAME] prijevoz
 | Porez
 | Parking i cestarine
 | [NAME]
 | Smještaj
 | Karte
 | Zdravlje
 | Lijekovi
 | [NAME]
 | [NAME] osiguranje
 | Vitamini i dodaci prehrani
 | Masaže, [NAME] i sl.
 | Ostali troškovi
 | Ostali troškovi I
 | Poštarina
 | [NAME].
 | Eventi (svadba, rođendani, itd.)
 | [NAME] i dugovi
 | Otplata kredita za stan
 | Otplata kredita za auto
 | Otplata kredita za zemljište |  |  |  |  |  |  | 1532.26
 | Porez na nekretninu
 | [NAME] i javnobilježnički troškovi
 | Kamate po minusu po tekućem računu i sl.
 | Bankarske naknade |  | 9.43 | 2 |  |  |  |  | 60
 | [NAME], investicije
 | [NAME]
Spreadsheet: 0d449eda-bd04-4beb-bca2-b1cb88d8dac3
Sheet: Sheet1

Table 5--USDA-calculated world market rice prices (rough basis) 1/ | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11 | Unnamed: 12 | Unnamed: 13
 | 2012/13 |  |  | 2011/12 |  |  | 2010/11
 |  | Medium/ |  |  | Medium/ |  |  | Medium/
Month | Long | short |  | Long | short |  | Long | short
 | $/cwt
August | 11.91 | 12.13 |  | 14.08 | 14.4 |  | 9.58 | 9.68
September | 12.57 | 12.81 |  | 15.09 | 15.44 |  | 10.51 | 10.62
October | 12.72 | 12.97 |  | 15.63 | 15.99 |  | 12.15 | 12.29
November | 12.92 | 13.17 |  | 14.93 | 15.28 |  | 13.4 | 13.58
December | 12.62 | 12.86 |  | 13.9 | 14.21 |  | 14.5 | 14.67
January | 12.35 | 12.59 |  | 12.61 | 12.88 |  | 13.98 | 14.15
February | 11.77 | 12.43 |  | 11.81 | 12.2 |  | 12.68 | 13.35
March 2/ | 11.88 | 12.54 |  | 11.52 | 11.92 |  | 12.13 | 12.76
April |  |  |  | 11.15 | 11.54 |  | 11.76 | 12.36
May |  |  |  | 11.42 | 11.82 |  | 11.58 | 12.17
June |  |  |  | 11.93 | 12.35 |  | 11.78 | 12.39
July |  |  |  | 11.97 | 12.4 |  | 12.49 | 13.14
Market-year
average 1/ | 12.3425 | 12.6875 |  | 13.00333333333334 | 13.36916666666666 |  | 12.21166666666667 | 12.59666666666666
1/ Simple average of the U.S. Department of Agriculture's weekly adjusted world market price.  2/  Preliminary.
Source: [NAME] and Rice Weekly Prices (ftp://ftp.fsa.usda.gov/public/cotton/default.htm), Farm Service Agency, USDA.
Last updated March 8, 2013.
Spreadsheet: 757936d1638543684-calculating-4-threads-issue-with-tracker-pla-learning-journey-example-
Sheet: Stage 2 & QAF (Michelle)

Michelle |  |  |  |  |  |  |  |  |  |  | Openings Learning | Openings Learning | Openings Learning | Openings Learning | Openings Learning | Openings Sign Off | Openings Sign Off | Middles Learning | Middles Learning | Middles Learning | Middles Learning | Middles Learning | Middles Learning | [NAME] | [NAME] | [NAME] | [NAME] | [NAME] | [NAME] | [NAME] | [NAME] | [NAME] | [NAME] | Closures Sign Off | Closures Sign Off |  | QAF | QAF | QAF | QAF | QAF | QAF | QAF | QAF | QAF | QAF | QAF | QAF | QAF | QAF | QAF | QAF | QAF | QAF | QAF | QAF | QAF | QAF
[NAME] | [NAME] | Front-Line Manager Name | Grade | Location | Tax Regime | Project | Date TPP Commenced | TUD Date | Cohort | Expected TPP Week | Week 9 | Week 10 | Week 11 | Week 12 | Week 13 | Week 14 | Week 15 | Week 16 | Week 17 | Week 18 | Week 19 | Week 20 | Week 21 | Week 22 | Week 23 | Week 24 | Week 25 | Week 26 | Week 27 | Week 28 | Week 29 | Week 30 | Week 31 | Week 32 | Week 33 | [NAME] | Expected QAF Milestone 1 (Week 10) | Actual Milestone 1 Completion | Formula 2 | Expected QAF Milestone 2 (Week 22) | Actual [NAME] | Formula 5 | Expected QAF Milestone 3 (Week 38) | Actual [NAME] | [NAME] | Expected QAF Milestone 4 (Week 52) | Actual [NAME] | Forumula 9 | Expected QAF Milestone 5 (Week 69) | Actual [NAME] | [NAME] 10 | Expected QAF Milestone 6 (Week 78) | Actual [NAME] | [NAME] | Expected QAF Completion (18 months) | Actual QAF Completion | [NAME] 12 | Exceptions
Spreadsheet: 116029d1311522312-selective-columns-handicap-template-midshires
Sheet: hd

Hutton. Davey |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | HANDICAPPING
hole | par | stroke index | adjusted par | pts calc | [NAME] | strokes | points | PAR 3 | INDEX 1 | INDEX 2 | INDEX 3 | adjusted par | pts calc | [NAME] | points | handicap | handicap | handicap | catergory | Buffer Zone | css | Nett Differential | adjustment
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Nett | Nett
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | points | points
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 18 | 36
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | par 3
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | sss | css adj | "RO"
in
out
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