tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 1cd11b2c-12a7-4b11-ae84-d5354438c094
Sheet: 17

 |  | Broker** |  | Non-Broker |  | TOTAL
Product |  | Cleared*** | Uncleared | Cleared | Uncleared | Cleared | Uncleared
Swap* | CFD |  | 0 |  | 31750 |  | 31750
 | Dividend |  | 9366 |  | 10047 |  | 19413
 | Equity Swap |  | 238906 |  | 661371 |  | 900277
 | Portfolio |  | 22497 |  | 308663 |  | 331160
 | [NAME] |  | 2491 |  | 1952 |  | 4443
Option | Accumulator/Decumulator |  | 1297 |  | 11505 |  | 12802
 | Vanilla (put/call) |  | 1486146 |  | 1930302 |  | 3416448
 | [NAME]
Forward | Vanilla
Exotic
Structured Products |  |  | 174707 |  | 1004051
TOTAL |  | N/A**** | 1935410 | N/A | 3959641 | N/A | 5895051
Estimated gross notional amount outstanding, October 31 monthly snapshot, by product, participant type, and cleared status (millions of USD). Data are adjusted for double-counting of inter-broker trades to show a single exposure for each trade.
Data for the equity asset class are currently made available to the Commission on a monthly basis, and the Swaps by Asset Class tables in this proposed version of the CFTC Swaps Report will thus be published with an effective delay of up to one month.
Total(s) may be less than total shown for this asset class in the All Swaps reports and/or other CFTC Swaps Report tables if products were excluded from this table that (a) presented disclosure risk or (b) did not belong in the categories shown. See Explanatory Notes for more detail.
*See Data Dictionary for product descriptions.
**See Explanatory Notes for particpant type descriptions.
***See Explanatory Notes for cleared and uncleared 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: 103517d1301301583-nested-formula-collection_test
Sheet: RCVBL

CUSTOMERWISE BOOKING DETAILS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Executive
AGM |  | [NAME]
Booking Date Range |  | From | 2010-12-01 00:00:00 | To | 2011-02-28 00:00:00 |  |  |  |  |  |  | Report run on
Total Sales for the period
Row Ref | Customer | Address | BKNG Date | Tower | Type | SqFt | Rate | Car Park No | Total Adv | Balance | Installments | Due | Executive
Spreadsheet: 881229d1729181318-using-isnumber-with-and-or-multiple-conditions-book2
Sheet: Sheet1

Main Data | Data Check 1 | Data Check 2 | Data Check 3 | Data Check 4 |  | Cats | Dogs | Mice | Pigs | Sheep
Cats Dogs Mice Sheep | Cats Dogs | Cats Dogs | Pigs Cats | Mice Sheep Pigs |  |  | Found in MD and Found in Data Check 1 - 4
Pigs Cats | Pigs Cats | Mice Sheep Pigs | Cats Dogs | Cats Sheep Dogs |  |  | False
Mice Sheep Pigs Cats | Mice Sheep Pigs | Cats Sheep Dogs | Cats Sheep Dogs | Cats Dogs
Dogs Pigs | Cats Sheep Dogs | Pigs Cats | Pigs Cats | Mice Sheep Pigs
Mice Cats Sheep | Pigs Dogs | Cats Dogs | Mice Sheep Pigs | Mice Sheep
Sheep Dogs Cats Mice | Mice Sheep | Mice Sheep | Pigs Cats | Cats Dogs
Spreadsheet: 758336d1638822234-nested-if-formula-to-evaluate-multiple-text-conditions-excel-forum-help-
Sheet: Sheet1

 |  |  | Tenure | Record 1 |  | Record 2
 | Emp 1 |  | [NAME] | NO |  | NO
 | Emp 2 |  | [NAME] | YES |  | NO
 | Emp 3 |  | [NAME] | NO |  | YES
 | Emp 4 |  | [NAME] | YES |  | YES
 | Emp 5 |  | Newcomer | NO |  | NO
 | Emp 6 |  | Newcomer | YES |  | NO
 | Emp 7 |  | Newcomer | NO |  | YES
 | Emp 8 |  | Newcomer | YES |  | YES
 | Emp 9 |  | Junior | NO |  | NO
 | Emp 10 |  | Junior | YES |  | NO
 | Emp 11 |  | Junior | NO |  | YES
 | Emp 12 |  | Junior | YES |  | YES
 | Emp 13 |  | Veteran | NO |  | NO
 | Emp 14 |  | Veteran | YES |  | NO
 | Emp 15 |  | Veteran | NO |  | YES
 | Emp 16 |  | Veteran | YES |  | YES
Spreadsheet: 98027d1297116217-drop-down-box-fill-in-with-data-according-to-item-outage-worksheet_delforum
Sheet: Data

 | Applications | Emails |  | Apps2 | Name | Office Phone | Cell Phone
 | ABCD | [EMAIL] [EMAIL] [EMAIL] [EMAIL] [EMAIL] [EMAIL] [EMAIL] [EMAIL] [EMAIL] [EMAIL] [EMAIL] |  | ABCD | [NAME] [NAME] [NAME] [NAME] [NAME] [NAME] [NAME] | [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] | [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE]
 | BACD | [EMAIL] [EMAIL] [EMAIL] [EMAIL] [EMAIL] [EMAIL] [EMAIL] [EMAIL] [EMAIL] [EMAIL] [EMAIL] |  | BACD | [NAME] [NAME] [NAME] [NAME] [NAME] [NAME] [NAME] | [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] | [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE]
 | FECG | [EMAIL] [EMAIL] [EMAIL] [EMAIL] [EMAIL] [EMAIL] [EMAIL] [EMAIL] [EMAIL] [EMAIL] [EMAIL] |  | FECG | [NAME] [NAME] [NAME] [NAME] [NAME] [NAME] [NAME] | [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] | [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE]
 | GEFC | [EMAIL] [EMAIL] [EMAIL] [EMAIL] [EMAIL] [EMAIL] [EMAIL] [EMAIL] [EMAIL] [EMAIL] [EMAIL] |  | GEFC | [NAME] [NAME] [NAME] [NAME] [NAME] [NAME] [NAME] | [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] | [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE]
 | CDAB | [EMAIL] [EMAIL] [EMAIL] [EMAIL] [EMAIL] [EMAIL] [EMAIL] [EMAIL] [EMAIL] [EMAIL] [EMAIL] |  | CDAB | [NAME] [NAME] [NAME] [NAME] [NAME] [NAME] [NAME] | [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] | [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE] [PHONE]
Spreadsheet: 1f1d1560-0c9e-4531-be8d-934fd864dac3
Sheet: DistrictsElem

 |  |  |  |  |  | Elementary School
District | Bullying | Alcohol | Tobacco | Other Drugs | Distribution | Assaults | [NAME] | Handgun | Rifle | Other Firearm | Other Weapon | Total
Alpine | 107 | - | - | - | - | 6 | - | - | - | 2 | 6
Beaver | - | - | - | - | - | - | - | - | - | - | -
[NAME] | 1 | - | - | - | - | 17 | - | - | - | - | -
Cache | - | - | - | - | - | 8 | 1 | - | - | - | -
Canyons | 43 | 1 | - | 3 | - | 3- | - | - | - | 12 | 38
Carbon | - | - | - | - | - | - | - | - | - | - | -
Daggett | 1 | - | - | - | - | 1 | - | - | - | - | 1
[NAME] | 34 | - | 2 | 1 | - | 62 | - | - | - | 8 | 26
Duchesne | 1 | - | - | - | - | 3 | - | - | - | - | 2
Emery | - | - | - | - | - | - | - | - | - | - | -
[NAME] |  | - | - | - | - | - | - | - | - | - | -
Grand | 6 | - | - | - | - | 3 | - | - | - | - | -
Granite | 189 | - | 15 | 4 | 12 | 211 | - | 1 | - | 44 | 56
Iron | - | - | - | - | - | - | - | - | - | - | -
Jordan | 65 | - | - | 2 | - | 145 | - | - | - | - | -
[NAME] | - | - | - | - | - | - | - | - | - | - | -
[NAME] | - | - | - | - | - | - | - | - | - | - | -
Logan | 8 | - | - | - | - | 31 | - | - | - | 5 | 5
Millard | 2 | - | - | - | - | 5 | - | - | - | - | 1
Morgan | 1 | - | - | - | - | - | - | - | - | - | -
[NAME] | 2 | - | - | 1 | 1 | - | - | - | - | 1 | 5
Nebo | 11 | - | 1 | - | - | 15 | 2 | - | - | 1 | 2
[NAME] | - | - | - | - | - | - | - | - | - | 2 | -
North Summit | - | - | - | - | - | - | - | - | - | - | -
Ogden | 1 | - | - | - | - | 11 | - | - | - | 3 | 4
Park City | - | - | - | - | - | - | - | - | - | - | -
Piute | - | - | - | - | - | - | - | - | - | - | -
Provo | 13 | - | - | - | - | 3 | - | - | - | - | 2
Rich | - | - | - | - | - | - | - | - | - | - | -
[NAME] | 29 | - | - | 8 | 1 | 128 | - | - | - | 11 | 4
San Juan | - | - | - | - | - | 6 | - | - | - | 1 | -
Sevier | - | - | - | - | - | - | - | - | - | - | -
South Sanpete | - | - | - | - | - | - | - | - | - | - | -
South Summit | - | - | - | - | - | - | - | - | - | - | -
Tintic | - | - | - | - | - | - | - | - | - | - | -
Tooele | 2 | - | - | - | - | 2 | 1 | - | - | - | 2
Uintah | - | - | - | - | - | 4 | - | - | - | 1 | 3
Wasatch | - | - | - | - | - | 4 | - | - | - | 1 | -
Washington | - | - | 1 | 1 | - | 5 | - | - | - | - | 1
Wayne | 15 | - | - | - | - | - | - | - | - | - | -
Weber | 7 | - | 2 | 7 | - | 61 | 1 | - | - | 8 | 38
District School Totals
Spreadsheet: 818830d1677074040-identify-overlaps-in-employees-and-days-book1-bob112233-
Sheet: Job Roster

 | Raw Data (Input) |  |  |  |  |  | Desired Results
 | Monday | Tuesday | Wednesday | Thursday | Friday |  |  | Monday | Tuesday | Wednesday | Thursday | Friday |  |  | Employee | Job | Tax | Legal | IT | Cyber | Tele | Stat |  | Monday | Tuesday | Wednesday | Thursday | Friday
Week 1 | Tax | Stat | Tax | Tax | Legal |  | Week 1 | Tax | Stat | Tax |  |  |  |  | Employee 1 | Tax
 |  | IT | Legal | IT | Cyber |  |  |  | IT | Legal |  |  |  |  | Employee 2 | Tax
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Employee 3 | Tax
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Employee 4 | Tax
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Employee 5 | Tax
Week 2 |  |  |  |  |  |  | Week 2 |  |  |  |  |  |  |  | Employee 6 | Tax
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Employee 7 | Tax
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Employee 8 | Tax
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Employee 9 | Tax
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Employee 10 | Tax
Week 3 |  |  |  |  |  |  | Week 3 |  |  |  |  |  |  |  | Employee 11 | Tax
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Employee 12 | Tax
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Employee 1 | Legal
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Employee 2 | Legal
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Employee 3 | Legal
Week 4 |  |  |  |  |  |  | Week 4 |  |  |  |  |  |  |  | Employee 4 | Legal
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Employee 5 | Legal
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Employee 6 | Legal
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Employee 7 | Legal
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Employee 8 | Legal
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Employee 9 | Legal
 | =(COUNTIF(B$3:B$7,"Tax")+COUNTIF(B$3:B$7,"Legal"))>1 |  |  |  |  |  |  |  |  |  |  |  |  |  | Employee 10 | Legal
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Employee 11 | Legal
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Employee 12 | Legal
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Employee 1 | IT
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Employee 2 | IT
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Employee 3 | IT
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Employee 4 | Cyber
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Employee 5 | Cyber
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Employee 6 | Cyber
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Employee 7 | Tele
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Employee 8 | Tele
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Employee 9 | Tele
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Employee 10 | Stat
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Employee 11 | Stat
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Employee 12 | Stat
Spreadsheet: 884711d1733951970-tabs-that-feed-on-specific-tab-tracking-correios_2
Sheet: Q3

Q6
Qual loja irá receber ou Qual loja fez o ORDER?
UJM | 215 | 0.0880065493246009
UIG | 137 | 0.05607859189521081
U7A | 98 | 0.04011461318051576
U7M | 29 | 0.01187065083913222
URZ | 248 | 0.1015145313139583
UBZ | 1 | 0.0004093327875562833
UCK | 407 | 0.1665984445354073
UIP | 187 | 0.07654523127302497
UGF | 398 | 0.1629144494474007
UBX | 283 | 0.1158411788784282
URJ | 91 | 0.03724928366762178
URK | 316 | 0.1293491608677855
U7C | 33 | 0.01350798198935735
Total | 2443
Significar | 7.42
[NAME]. | 3.41
Variação | 11.64
Spreadsheet: richard_shapiro__32653__2002 Plan Budget Pack -  Reg Affairs FINAL
Sheet: Adaytum  Detail 2002

 | ( Refresh view for your relevant CC or Region ) |  |  | Do not select subtotal if you have more than one CC
 | Adaytum
 | Value USD | Total Cost | Total | Budget 2002
 |  | EEL European Govt Affairs |  | Total Region
 | Headcount | 10
 | SALARY AND WAGES | 0
 | Salaries and Wages
 | Employee Pension & Benefits | 0
 | Payroll Tax - FICA | 0
 | Employee Expenses Other
 | Temp costs | 0
 | Exgratia payments | 0
 | Completion bonus | 0
 | Stock options | 0
 | Expat costs | 0
 | Total Salaries & Wages
 | TRAVEL & ENTERTAINMENT
 | Flights
 | Hotel Costs
 | Other Business Travel | 0
 | Entertainment and Meals
 | Client Entertainment | 9000
 | Total Travel and Entertainment
 | OFFICE EXPENSES | 0
 | Building Maintenance | 0
 | Building Security | 0
 | Catering | 0
 | Cleaning | 0
 | Gym-Management Fees | 0
 | Health & Safety | 0
 | Mail Room | 0
 | Moves and Changes | 0
 | Leased Office Eqpt | 0
 | Storage | 0
 | Other Office Costs | 4481
 | Total Office Costs
 | CONSULTANCY | 0
 | Directors Fees | 0
 | Outside services - engineering | 0
 | Outside services - IT | 0
 | Recruitment Fees | 0
 | Other Operational costs | 0
 | Professional | 0
 | Professional - Regulatory Affairs | 502000
 | Professional - Advertising | 0
 | Professional - Marketing | 0
 | Professional - Accounting | 0
 | Professional - Translation | 0
 | Professional - Other
 | Total Consultancy Costs
 | OCCUPANCY EXPENSES | 0
 | Lease Rent Value | 100000
 | Sub Let Income Value | 0
 | Rates/Local Tax | 0
 | Utilities | 0
 | Service Charge | 0
 | Other | 0
 | Total Occupancy
 | LEGAL & AUDIT | 0
 | Statutory Reporting | 0
 | Enron Assurance Services | 0
 | Regulatory | 245000
 | Company Secretariate | 0
 | Compliance | 0
 | Total Legal & Audit
 | OTHER G&A | 0
 | Annual Subscriptions | 102406
 | Publications | 0
 | Training | 20000
 | Insurance | 0
 | Recruitment Advertising | 0
 | Other Advertising | 0
 | Other Business Expenditure
 | Total Other GA
 | COMMUNICATIONS COSTS | 0
 | Communications Costs
 | TAXES OTHER THAN INCOME | 0
 | Taxes Other Than Income | 0
 | TOTAL G&A
Spreadsheet: 64703d1265504773-finding-a-set-word-from-a-number-of-words-in-a-cell-book-111
Sheet: Sheet1

1 | Sydney |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Drinks 1  lollies 2 Drinks 1
2 | Brisbane |  |  |  |  |  |  |  |  |  |  |  |  |  |  | lollies 2
3 | London |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Drinks 1   lollies 2
4 | Perth |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Drinks 1
Spreadsheet: louise_kitchen__22744__Turbine Position Report 050401
Sheet: Summary by Type

Turbine Position Report |  |  |  |  |  |  |  | CONFIDENTIAL
Summary by Turbine Type
($ MMs) |  |  |  |  |  |  |  | DRAFT
 |  |  |  |  |  |  | Financial Data as of
UNITS | MODEL | CONTROLLED BY | PROJECT(S) | DASH APPROVAL DATE / STATUS | CONTRACT COST | SCHEDULED CONTRACT PYMTS TO DATE | CANCELLATION | STATUS
 |  |  |  |  |  |  |  | Available
 |  |  |  | total per above
 |  |  |  | per Summary By [NAME] report
 |  |  |  | Difference
Spreadsheet: 690648d1597221253-counting-colours-2020-08-12-oeldere-digbee-690644d1597220288-counting-colours-dummy-help
Sheet: Sheet1

Breakdown By Category / Month
Category | June | July | August | Total
2018/2019
18/19 Rate
18/19 rate minus 14%
2019/2020
19/20 rate
19/20 rate minus 14%
19/20 rate minus 25%
19/20 rate minus non dep(s)
2020/2021
20/21 rate
20/21 rate assumed as higher than 19/20 rate
20/21 rate minus 14%
20/21 rate minus 25%
20/21 rate minus non dep(s)
20/21 rate short £17 - £99
20/21 rate short £21 - £99
20/21 rate short £24 - £99
20/21 rate short <10p
20/21 rate short >£100
20/21 rate assumed as higher than 19/20
No Review Input
Total
Customers on 2018/2019 rate with no change over 3 months.
Number of people not changed their rent
Ward | Number of customer
ARB1 | 4
[NAME] | 9
BRW1 | 15
ELC1 | 7
FAB1 | 6
LIN1 | 2
[NAME] | 5
LVS1 | 5
NHS1 | 0
WHB1 | 15
PSH1 | 0
ZBB1 | 0
Spreadsheet: 537160d1504848000-summary-report-from-data-sheet-summary-1-1-
Sheet: REQUIRED

REQUIRED REPORT- IN SUMMARY
Particulars | Qty | b | c | d | e | Total |  |  | Particulars | Qty | b | c | d | e | Total
SLB 335 mm |  |  |  |  |  |  |  |  | SLB 335 mm | 200 | 120 | 9600 | 0 | 25 | 9745
KLP 9 mm |  |  |  |  |  |  |  |  | KLP 9 mm | 110 | 190 | 321 | 0 | 24 | 470
JSP 11 mm |  |  |  |  |  |  |  |  | JSP 11 mm | 1658.5 | 173 | 20 | 0 | 111 | 304
Spreadsheet: 109233d1306161192-indirect-help-example-1-
Sheet: April

April
Account Number | Account Name | Country | Total Market Value | Cash Value | % Cash
111 | Murphy | UK | 900 | 100 | 0.1111111111111111
5555 | Jones | AUS | 450 | 100 | 0.2222222222222222
333 | Smith | SCO | 300 | 260 | 0.8666666666666667
Spreadsheet: 883699d1732351559-how-to-change-a-range-of-cell-based-on-the-value-in-another-range-martik777-excel1-4-cf-365-aligw
Sheet: Sheet1

Age | CPP | OAS | other | Total
65 | 1200 | 727 | 1100
 |  |  |  |  |  | How can I change the color each row (columns A:E)  where Age= 70,80 or 90
 |  |  |  |  |  | with conditional formatting rules?
Spreadsheet: 2eaee469-69af-499b-8be2-b698b4ae7648
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11
COST COMPARISON BETWEEN
DRIVING PRIVATE VEHICLE VS.
UTILIZING PUBLIC/COMMERCIAL TRANSPORTATION
 | I.  TRIP INFORMATION
 | Employee's Name: |  |  |  |  |  |  | Dept./Office:
 | Trip Begin Date: |  |  |  |  |  |  | Trip End Date:
 | Destination:
 | II.  COST INFORMATION
 | Please complete the use of public transportation as if you had flown to your destination. Include all types of
 | expenses including personal car mileage to the airport and airport parking fees.
Section A - DRIVING PRIVATE VEHICLE |  |  |  |  |  | Section B - USE OF PUBLIC TRANSPORTATION
 | Expense Item |  |  |  | Cost |  | Expense Item |  |  |  | Cost
 | 1. Cost of Mileage driven, roundtrip |  |  | $ |  |  | 1. Cost of Mileage driven, roundtrip |  |  | $
 | (miles x .56) |  |  |  |  |  | (miles x .565)
 | 2. Cost of Lodging, Meals, etc. |  |  | $ |  |  | 2. Cost of Transportation |  |  | $
 | (while driving) |  |  |  |  |  | (airfare, car rental, train fare, etc)
 | 3. Cost of Parking, Tolls, etc. |  |  | $ |  |  | 3. Cost of Bus/Shuttle/Taxi |  |  | $
 | 4. Other | (specify) |  | $ |  |  | 4. Cost of Parking |  |  | $
 |  |  |  |  |  |  | 5. Other | (specify) |  | $
Total Estimated Cost |  |  |  | $ | 0 |  | Total Estimated Cost |  |  | $ | 0
CERTIFICATION
I certify that I have elected to drive my private vehicle instead of utilizing a public/commercial method of transportation.  I understand that California State University policy (S.A.M. 0748) limits my reimbursement for transportation expenses to the lesser of the two methods.  This cost comparison is provided to Travel Accounting to determine the appropriate reimbursement amount.
 |  | Date |  |  | Signature
Please attach this form to the Travel Expense Claim, form 262, before submission to Travel Accounting
Revision date:  11/08/2013
Spreadsheet: 859351d1707759953-how-to-display-record-of-last-10-games-nhl-schedule-gk-answer
Sheet: Sheet1

 | Home |  |  |  |  |  | Visitor
Date | Team | Score | OT | RW | ROW | W/L/OTL | Score | OT | RW | ROW | W/L/OTL | Team |  |  | Carolina Hurricanes
2023-10-10 00:00:00 | New Jersey Devils | 5 |  | x | x |  | 3 |  |  |  |  | Chicago Blackhawks |  |  | New Jersey Devils | 18 | A | L | W | W
 | New Jersey Devils | 2 |  |  |  |  | 4 |  | x | x |  | Chicago Blackhawks |  |  |  | 17 | H | W | L | W
 | New Jersey Devils | 4 |  | x | x |  | 1 |  |  |  |  | Carolina Hurricanes |  |  |  | 16 | H | W | L | W
2023-10-11 00:00:00 | Carolina Hurricanes | 5 |  | x | x |  | 3 |  |  |  |  | Ottawa Senators |  |  |  | 13 | H | L | W | L
 | New Jersey Devils | 6 |  |  |  |  | 5 | x |  |  |  | [NAME] |  |  |  | 11 | H | W | L | W
 | [NAME] | 3 |  | x | x |  | 1 |  |  |  |  | Chicago Blackhawks |  |  |  | 10 | A | L | W | W
 | Carolina Hurricanes | 5 |  | x | x |  | 3 |  |  |  |  | New Jersey Devils |  |  |  | 9 | H | W | L | W
 | Los Angeles Kings | 2 |  |  |  |  | 5 |  | x | x |  | Carolina Hurricanes |  |  |  | 6 | H | W | L | W
 | Carolina Hurricanes | 8 |  | x | x |  | 1 |  |  |  |  | Edmonton Oilers |  |  |  | 5 | A | W | L | L
2023-10-12 00:00:00 | Buffalo Sabres | 1 |  |  |  |  | 5 |  | x | x |  | New Jersey Devils
 | Carolina Hurricanes | 2 |  |  |  |  | 4 |  | x | x |  | Philadelphia Flyers
 | New Jersey Devils | 4 |  | x | x |  | 3 |  |  |  |  | Detroit Red Wings
 | New Jersey Devils | 2 |  |  |  |  | 1 | x |  |  |  | St. Louis Blues
 | Carolina Hurricanes | 2 |  | x | x |  | 0 |  |  |  |  | New Jersey Devils
 | Carolina Hurricanes | 3 |  | x | x |  | 0 |  |  |  |  | [NAME]
 | New Jersey Devils | 1 |  |  |  |  | 4 |  | x | x |  | Carolina Hurricanes
2023-10-13 00:00:00 | New Jersey Devils | 3 | x |  |  |  | 4 |  |  |  |  | Carolina Hurricanes
Spreadsheet: 238249d1369427698-change-a-chart-line-based-on-data-not-recorded
Sheet: Sheet2

Date | Value | Not rec. | Recorded | % Drop
2013-03-18 00:00:00 | 175 | #N/A | x | 0.00%
2013-03-19 00:00:00 | 174 | 174 |  | 0.57%
2013-03-20 00:00:00 | 173 | #N/A | x | 1.74%
2013-03-21 00:00:00 | 172 | #N/A | x | 2.34%
Spreadsheet: 806911d1669663630-solved-not-reading-sumif-formula-sales-report-all-brands-2023-sample-
Sheet: Invoices

Month/Market | Invoice # | Date of Invoice | 3/4/5 Tres, Cuatro y Cinco 4/750ml | Amargo Vallet 6/750ml | ArteNOM Anejo 6/750ml | ArteNOM Anejo 12/375ml | ArteNOM Blanco 6/750ml | ArteNOM Blanco 12/375ml | ArteNOM [NAME] 6/750ml | ArteNOM [NAME] 12/375ml | ArteNOM Reposado 6/750ml | ArteNOM Reposado 12/375ml | [NAME] 12/750ml | Cimarron Blanco 12/1L | [NAME] 12/375ml | Cimarron Blanco 24/375ml | [NAME] 12/750ml | [NAME] | [NAME] 12/375ml | [NAME] | Cyrus Noble 6/750ml | [NAME] 12/750ml | Don Amado Anejo 6/750ml | Don Amado Anejo 12/375ml | Don Amado Arroqueño 6/750ml | Don Amado Arroqueño 12/375ml | Don Amado Largo 6/750ml | Don Amado Largo 12/375ml | [NAME] Pechuga 6/750ml | [NAME] 6/750ml | [NAME] 12/375ml | [NAME] 6/750ml | Don Amado Rustico 12/375ml | Don Amado Tepezate 6/750ml | Don Amado Tepezate 12/375ml | Don Amado Tobala 6/750ml | Don Amado Tobala 12/375ml | [NAME] Tripon 6/750ml | [NAME] 6/375ml | Fernet Vallet 6/750ml | [NAME] 4/750ml | Fuenteseca Anejo 7yr 4/750ml | Fuenteseca Anejo 8yr 4/750ml | Fuenteseca Anejo 11yr 4/750ml | Fuenteseca Anejo 12yr 4/750ml | Fuenteseca Anejo 15yr 4/750ml | [NAME] 18yr 4/750ml | Fuenteseca Anejo 21yr 4/750ml | Granada Vallet 6/750ml | [NAME] 6/750ml | [NAME] 6/750ml | Lapis Magic Pack 6/750ml | [NAME] 6/750ml | [NAME] 6/750ml | [NAME] 6/750ml | Panama Pacific 3yr 12/1L | Panama Pacific 5yr 6/750ml | Panama Pacific 9yr 6/750ml | Panama Pacific 15yr 6/750ml | Panama Pacific 23yr 6/750ml | PuraSangre Anejo 6/750ml | PuraSangre Anejo 12/1L | Purasangre Blanco Fuerte 6/750ml | Purasangre Blanco Fuerte 12/1L | PuraSangre Extra Anejo 6/750ml | PuraSangre Reposado 6/750ml | PuraSangre Reposado 12/1L | Royal Gate Vodka 6/1.75L | Royal Gate Vodka 12/1L | Royal Gate Vodka 12/1L BAR | Royal Gate Vodka 12/750ml | Royal Gate Vodka 24/375ml | Royal Gate Vodka 48/200ml | Royal Gate Vodka 120/50ml | Royal Gate Gin 6/1.75L | Royal Gate Gin 12/1L | Royal Gate Gin 12/1L BAR | Royal Gate Gin 12/750ml | Royal Gate Gin 24/275ml | Royal Gate Gin 48/200ml | White Xmas R&B 12/750ml
February - WY | 1 | 2022-11-22 00:00:00 | 1 | 1
March - WA | 2 | 2022-11-22 00:00:00 | 1 | 1
Spreadsheet: 873845d1720431590-look-up-the-data-and-return-multiple-result-sample-data-3-
Sheet: Sheet1

DATAS |  |  | CALCULATED RESULT
Name | Choice |  | No | Name | 1st Choice | 2nd Choice | 3rd Choice
[NAME] | Japan |  | 1 | [NAME]
[NAME] | Singapore |  | 2 | [NAME]
Hanna | Bali |  | 3 | Hanna
Leanne | Phillipine |  | 4 | Leanne
[NAME] | Holland |  | 5 | [NAME]
Hanna | Malaysia |  | 6
[NAME] | Vietnam |  | 7
[NAME] | Korea |  | 8
Leanne | India
[NAME] | Nepal
Hanna | Australia |  | EXPECTED RESULT
Leanne | Canada |  | No | Name | 1st Choice | 2nd Choice | 3rd Choice
[NAME] | Alaska |  | 1 | [NAME] | Japan | Vietnam | Switzerland
[NAME] | Switzerland |  | 2 | [NAME] | Singapore | Korea | England
[NAME] | England |  | 3 | Hanna | Bali | Malaysia | Australia
 |  |  | 4 | Leanne | Phillipine | India | Canada
 |  |  | 5 | [NAME] | Holland | Nepal | Alaska