tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: eric_saibi__9941__103101
Sheet: Zimmer B

Owner Name |  | Cinergy Corporation
Station Name |  | [NAME] Power Station
Unit Name |  | Zimmer B
NERC Region |  | ECAR
State |  | OH
Fuel Type |  | Coal
Capacity |  | 900 MW
Start Date |  | 2001-10-31 00:00:00
End Date |  | 2001-11-01 00:00:00
Comments |  | Plant is offline with Boiler Problems and having some difficulty getting it back online
SIC |  | 4911
Plant ID |  | 1009921
Unit ID |  | 1003896
Outage ID |  | 18773
Spreadsheet: 709191d1608201747-project-start-end-on-a-graph-project_startend
Sheet: Project start end dates

PROJECT NAME | START DATE | END DATE | START MONTH | END MONTH
A | DATE1 | Date 10 | JAN | SEPT
B | DATE2 | Date 11 | FEB | OCT
C | DATE3 | Date 12 | MARC | NOV
D | [NAME] | Date 13 | APR | DEC
E | DATE5 | Date 10 | MAY | DEC
R | DATE2 | Date 15 | FEB | JUL
G | DATE7 | Date 16 | JUL | SEPT
Z | DATE2 | Date 10 | FEB | OCT
Spreadsheet: 845849d1697183858-how-to-solve-error-n-a-in-my-project-my-project-vlookup-and-hlookup-1-aligw
Sheet: File Latihan

[NAME] | No. Pemesanan | [NAME] | [NAME] | [NAME]
2021-03-06 00:00:00 | 106
2021-03-02 00:00:00 | 102
2021-03-04 00:00:00 | 101
2021-03-05 00:00:00 | 101
2021-03-10 00:00:00 | 110
2021-03-03 00:00:00 | 103
2021-03-08 00:00:00 | 108
2021-03-09 00:00:00 | 109
2021-03-01 00:00:00 | 101
2021-03-07 00:00:00 | 107
Spreadsheet: 781222d1653064543-how-to-input-the-vacation-list-into-the-employee-calendar-a
Sheet: expected result

 | Date of the month
 | 1 | 2 | 3 | 4 | 5 | 6 | 7
Aby | L | L | L |  | Holiday | L | Holiday
Nani | Sick |  | D | D | D | D | D
[NAME] |  | B | B | B | B | B | Personal Leave
Hogie |  | Holiday | D |  | D | D | D
Spreadsheet: 09253d18-87c9-4a5a-8b17-c0bda9279e85
Sheet: Gas Data

Parameters for Various Propellants
 | Gas | a0 | c_star | m_dot | Isp | m_p | R |  |  | A_throat (m) | 0.1
Units | - | m/s | m/s | kg/s | s | [NAME] | J/kg/K |  |  | p_c (Pa) | 250
 | Air | 346.153 | 427.251 | 0.05168 | 78.933 | 51.678 | 286.9 |  |  | m_dot (kg/s) | 0.05851361377738145
 | Argon (Ar) | 320.773 | 343.64 | 0.07153 | 57.031 | 71.525 | 208 |  |  | g0 (m/s^2) | 9.80665
 | C02 | 269.348 | 356.845 | 0.05635 | 72.384 | 56.354 | 188.9
 | He | 1013.875 | 1085.608 | 0.02265 | 180.121 | 22.647 | 2077
 | H2 | 1314.394 | 1617.456 | 0.01369 | 297.866 | 13.695 | 4124
 | N2 | 1314.394 | 434.439 | 0.05082 | 80.261 | 50.823 | 296.8
 | O2 | 328.731 | 406.977 | 0.05408 | 75.434 | 54.076 | 259.8
 | Butane | 215.97 | 800 | 0.0615 | 101.5 | 61.5 | 143
 | Propane | 251.22 | 800 | 0.054 | 104.55 | 54 | 189
 | [NAME] |  |  |  |  |  | 1649.5
Gas | Gamma (at 298.15 K) | 1/(gamma-1) | gamma/(gamma-1) | (gamma-1)/(gamma+1) | (gamma-1)/gamma | 2/(gamma+1) | (2/(gamma+1))^(1/(gamma-1)) | (2/(gamma+1))^(g/(gamma-1)) | (gamma+1)(2/(gamma+1))^(gamma/(gamma-1)) | (2/(gamma+1))^((gamma+1)/2(gamma-1) | gamma*(2/(gamma+1))^((gamma+1)/2(gamma-1))
-
Air | 1.4 | 2.5 | 3.5 | 0.16667 | 0.28571 | 0.8333 | 0.63394 | 0.52828 | 1.26788 | 0.57887 | 0.81019
Argon (Ar) | 1.658 | 1.5152 | 2.5152 | 0.24812 | 0.39759 | 0.75188 | 0.64915 | 0.48808 | 1.2983 | 0.56289 | 0.93439
C02 | 1.288 | 3.4483 | 4.4483 | 0.12664 | 0.22481 | 0.87336 | 0.62693 | 0.54754 | 1.25387 | 0.58589 | 0.7558
He | 1.659 | 1.5152 | 2.5152 | 0.24812 | 0.39759 | 0.75188 | 0.64915 | 0.48808 | 1.2983 | 0.56289 | 0.93439
H2 | 1.405 | 2.5 | 3.5 | 0.16667 | 0.28571 | 0.8333 | 0.63394 | 0.52828 | 1.26788 | 0.57887 | 0.81019
N2 | 1.4 | 2.5 | 3.5 | 0.16667 | 0.28571 | 0.8333 | 0.63394 | 0.52828 | 1.26788 | 0.57887 | 0.81019
O2 | 1.395 | 2.5 | 3.5 | 0.16667 | 0.28571 | 0.8333 | 0.63394 | 0.52828 | 1.26788 | 0.57887 | 0.81019
Butane | 1.094
Propane | 1.127
 | Thrust (N) | Best Isp Found at an Expansion Ratio around 25
Air | 39.99701012983611
Argon (Ar) | 39.99435878040261
C02 | 39.98780374470266
He | 40.00185613106792
H2 | 40.00448014818078
N2 | 39.99313058681854
O2 | 39.97662294232468
Spreadsheet: 68679d1d-6391-4c9b-a111-ebd085c0ddbd
Sheet: Table of Contents

CFTC Swaps Report
2013-08-21 00:00:00
Table of Contents
All Swaps
1. Gross Notional Outstanding by Cleared Status
2. Gross Notional Outstanding by Participant Type
3. Net Notional Outstanding by Cleared Status
4. Net Notional Outstanding by Participant Type
5. Transaction Ticket Volume by Cleared Status
6. Transaction Ticket Volume by Participant Type
7. Transaction Dollar Volume by Cleared Status
8. Transaction Dollar Volume by Participant Type
Swaps by Asset Class
Interest Rate Swaps
9a. Gross Notional Outstanding -  Product Type and Cleared Status
9b. Gross Notional Outstanding - Cleared - Supermajor Currency
9c. Gross Notional Outstanding - Cleared - Major Currency
9d. Gross Notional Outstanding - Cleared - Tenor
10a. Net Notional Outstanding - Product Type and Cleared Status
10b. Net Notional Outstanding - Cleared - Supermajor Currency
10c. Net Notional Outstanding - Cleared - Major Currency
10d. Net Notional Outstanding - Cleared - Tenor
11a. Transaction Ticket Volume - Product Type and Cleared Status
11b. Transaction Ticket Volume - Cleared - Supermajor Currency
11c. Transaction Ticket Volume - Cleared - Major Currency
11d. Transaction Ticket Volume - Cleared - Tenor
12a. Transaction Dollar Volume - Product Type and Cleared Status
12b. Transaction Dollar Volume - Cleared - Supermajor Currency
12c. Transaction Dollar Volume - Cleared - Major Currency
12d. Transaction Dollar Volume - Cleared - Tenor
Credit Default Swaps
13a. Gross Notional Outstanding - Product and Participant Type
13b. Gross Notional Outstanding - Product Type and Grade
14a. Net Notional Outstanding - Product and Participant Type
14b. Net Notional Outstanding - Product Type and Grade
15a. Transaction Ticket Volume - Product and Participant Type
15b. Transaction Ticket Volume - Product Type and Grade
16a. Transaction Dollar Volume - Product and Participant Type
16b. Transaction Dollar Volume - Product Type and Grade
Equity Swaps
17. Gross Notional Outstanding
18. Net Notional Outstanding
19. Transaction Ticket Volume
20. Transaction Dollar Volume
Other Commodity Swaps
21. Gross Notional Outstanding
22. Net Notional Outstanding
23. Transaction Ticket Volume
24. Transaction Dollar Volume
Spreadsheet: 464215d1464943354-formula-to-count-employees-on-schedule-over-24-hour-period-week-ending-06-12-16-sample2
Sheet: Master

 |  |  |  |  | 10PM |  | 22:00:00 |  | 08:00:00 | 14:00:00
 | 2016-06-06 00:00:00 |  |  |  | 12AM |  | 00:00:00 |  | 10:00:00 | 18:00:00 | 0.3333333333333333
 | MONDAY |  |  |  | 2AM |  | 02:00:00
 | IN | OUT |  |  | 4AM |  | 04:00:00
Employee #1 |  |  |  |  |  | 6AM | 06:00:00
Employee #2 | 12:00:00 | 20:00:00 |  |  |  | 8AM | 08:00:00
Employee #3 | 14:00:00 | 22:00:00 |  |  |  | 10AM | 10:00:00
Employee #4 |  |  |  |  |  | 12PM | 12:00:00
Employee #5 |  |  |  |  |  | 2PM | 14:00:00
Employee #6 | 06:00:00 | 14:00:00 |  |  |  | 4PM | 16:00:00
Employee #7 | 06:00:00 | 14:00:00 |  |  |  | 6PM | 18:00:00
Employee #8 | 08:00:00 | 16:00:00 |  |  |  | 8PM | 20:00:00
Employee #9 |  |  |  |  |  | 10PM | 22:00:00
Employee #10 | 10:00:00 | 18:00:00 |  |  |  | 12AM | 00:00:00
Employee #11 | 12:00:00 | 20:00:00 |  |  |  | 2AM | 02:00:00
Employee #12 | 14:00:00 | 22:00:00 |  |  |  | 4AM | 04:00:00
Employee #13
Employee #14
Employee #15 | 16:00:00 | 00:00:00
Employee #16 | 18:00:00 | 02:00:00
Employee #17
Employee #18
Employee #19
Employee #20
Employee #21
Employee #22
Employee #23 | 22:00:00 | 02:00:00
Employee #24 | 20:00:00 | 04:00:00
Employee #25
Expected Buses | 7 Lines
 | 2 Charters
06:00:00
08:00:00
10:00:00
12:00:00
14:00:00
16:00:00
18:00:00
20:00:00
22:00:00
1900-01-01 00:00:00
02:00:00
04:00:00
Spreadsheet: 196325d1353956302-multi-cell-for-drop-down-list-more-than-one-column-2-cells-drop-down-list
Sheet: Sheet2

1 | [NAME]
2 | quite Bad
3 | Bad
4 | Quite Poor
5 | Poor
6 | Average
7 | Above Average
8 | Good
9 | Better
10 | The Best
NA | Not applicable
ND | Not Discussed
Spreadsheet: 739014d1625439883-allocation-of-revenue-from-one-to-another-allocation
Sheet: Sheet 2

Resident Sample |  |  |  | Estimated Yearly Fees By Level Of Care |  |  |  |  |  | Estimated Yearly Revenue For Resident |  |  |  |  |  | Allocation and Amortization Of Nonrefundable Entrance Fee
Name: |  |  |  | Year | IL | AL | SNF |  |  | Year | IL | AL | SNF | Total |  | Year | IL | AL | SNF | Deferred Revenue
Age: | 75
Admission Date: | 2021-01-01 00:00:00 |  |  | 2021 |  |  |  |  |  | 2021 |  |  |  |  |  | 2021
Life Expectancy - Years:
Independent Living (IL) | 10
Assisted Living (AL) | 2
Senior Nursing Facility (SNF) | 3
Contract Type: | Type A Lifetime
Entrance Fee: | 350000
Refundable or [NAME]: | NR
Inflation Rate: | 0.03
Yearly Fees:
IL | 68390
AL | 73020
SNF | 146554 |  |  | 2034
 |  |  |  | 2035
 |  |  |  |  |  |  |  |  |  | Total Contract Cost:
 |  |  |  |  |  |  |  |  |  | Allocation of Nonrefundable Entrance Fee to Level of Care
Spreadsheet: 67218d1267803836-excel-2007-sorting-sensitive-letters-sorting
Sheet: Sheet1

 | c |  | c | C
 | C |  | c | C
 | c |  | c | C
 | c |  | c | C
 | c |  | c | C
 | c |  | c | C
 | C |  |  | C
 | C |  |  | C
 | C |  |  | C
 | C |  |  | C
 | C |  |  | C
 | C |  |  | C
 | C
 | C
 | C
 | C
 | C
 | c
Spreadsheet: 73848d1274402893-excel-2007-calculating-average-and-total-for-ranges-within-a-list-excel-help1
Sheet: Sheet2

 | RRP | [NAME] | Margin on sale price | Quantity shipped
 | 1199 | 1079.1 | 119.9 | 669
 | 0 | 0 | 0 | 0
 | 699 | 629.1 | 69.9 | 291
 | 0 | 0 | 0 | 0
 | 99 | 89.1 | 9.9 | 0
 | 0 | 0 | 0 | 0
 | 349 | 314.1 | 34.9 | 933
 | 0 | 0 | 0 | 0
 | 599 | 539.1 | 59.90000000000001 | 430
 | 0 | 0 | 0 | 0
 | 0 | 0 | 0 | 0
 | 1499 | 1349.1 | 149.9 | 59
 | 99 | 89.1 | 9.9 | 720
 | 0 | 0 | 0 | 0
 | 299 | 269.1 | 29.9 | 3589
 | 299 | 269.1 | 29.9 | 0
 | 249 | 224.1 | 24.9 | 2243
 | 499 | 454 | 45 | 0
 | 0 | 0 | 0 | 0
 | 299 | 269.1 | 29.9 | 3589
 | 299 | 269.1 | 29.9 | 1051
 | 349 | 314.1 | 34.9 | 2815
 | 599 | 539.1 | 59.90000000000001 | 430
 | 0 | 0 | 0 | 0
 | 899 | 809.1 | 89.9 | 601
 | 899 | 809.1 | 89.9 | 86
 | 0 | 0 | 0 | 0
 | 999 | 899.1 | 99.9 | 475
 | 499 | 449.1 | 49.90000000000001 | 59
 | 699 | 629.1 | 69.9 | 352
 | 599 | 539.1 | 59.90000000000001 | 562
 | 599 | 539.1 | 59.90000000000001 | 1148
 | 399 | 359.1 | 39.90000000000001 | 1414
 | Summary:
 | Sale price | average margin | totl qty shipped
 | >0 <=$199
 | >$199 <=$299
 | >$299 <= $399
 | >$399 <=$499
 | >$499 <=$599
 | >$599 <=$699
 | >$699 <=$799
 | >$799 <=$899
 | >$899 <=$999
 | >$999 <=1099
Spreadsheet: 18a8a4ff-43bb-4ede-88fa-e18aee0794d4
Sheet: Sheet1

Airport: | Unnamed: 1 | Unnamed: 2 | [NAME]: | Unnamed: 4 | Present ARC: | Unnamed: 6 | Future ARC: | Unnamed: 8 | Unnamed: 9
Sponsor Contact: |  |  | Tele. Ph # |  | E-mail: |  |  | Date Submitted:
Consultant Contact: |  |  | Tele. Ph # |  | E-mail: |  |  | Based Aircraft
Project Description & Cost Estimate
Proposed Calendar Year to Begin Project | Project Description |  | Project Identification in ALP/MP | Project Location on ALP | Sponsor Priority Number | Estimated Total Cost of Project | Cost Allocation $
 |  |  |  |  |  |  | Federal Participation | State Participation | Sponsor Participation
Federally Funded Projects |  |  |  |  |  |  | 0.9094 | 0.0453 | 0.0453
 |  |  |  |  |  | 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
Participation Totals |  |  |  |  |  | 0 | 0 | 0 | 0
State Funded Projects |  |  |  |  |  |  |  | 0.9 | 0.1
 |  |  |  |  |  |  |  | 0 | 0
 |  |  |  |  |  |  |  | 0 | 0
 |  |  |  |  |  |  |  | 0 | 0
Participation Totals |  |  |  |  |  | 0 |  | 0 | 0
Note: Attach additional sheets as necessary to fully describe projects or to add information needed for a full understanding of project scope, location and costs.
Spreadsheet: 005b6801-8580-4d96-b866-5fd00c9c0c81
Sheet: 10d

Product | 0-3** | 3-6 | 6-12 | 12-24 | 24-60 | 60-120 | 120+ | TOTAL
Basis*
FRA
IRS- [NAME]
OIS
VNS
Zero Coupon
TOTAL | N/A*** | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Estimated net notional amount outstanding, November 9 weekly snapshot, by product type and tenor (millions of USD), cleared swaps only, all participant types and tenors.
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 tenor bucket 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: 87665d1287557763-time-calcs-wtih-decimal-results-time-logs_example
Sheet: Basic 

Name Here
 |  |  |  |  | 2010 Comp Time Balance Sheet
 |  |  |  |  | Month
Date | OT Hours Worked | O/T Hours Earned | Comments/Explanation |  | Date | Hours Used | Comments | Balance
 |  |  | Balance Forward From Previous Month
 |  |  |  | O
Total O/T |  |  |  |  |  |  | TOTAL Balance Remaining
Spreadsheet: 825545d1681385749-add-additional-if-condition-to-formula-correct-remarks-formula
Sheet: Remarks

 |  |  |  |  |  |  | H | I | J |  |  |  |  | O | P | Q | R | S | T | Total Diff | Remarks
 |  |  |  |  |  |  | 0 | 19.07 | 19.07 |  |  |  |  | 0 | 0 | 0
 |  |  |  |  |  |  | 0 | 19.07 | 19.07 |  |  |  |  | 0 | 0 | 0
 |  |  |  |  |  |  | 228.81 | 0 | 0 |  |  |  |  | 0 | 0 | 0 |  |  |  |  |  |  | =IF(AND(U2>=-1,U2<=1),"Matched","Mismatched")
 |  |  |  |  |  |  | 3050.85 | 0 | 0 |  |  |  |  | 0 | 0 | 0 |  |  |  |  |  |  | Add one if condition
 |  |  |  |  |  |  | 0 | 953389.8 | 953389.8 |  |  |  |  | 0 | 953389.8 | 953389.8 |  |  |  |  |  |  | if the sum of H to J and O to U = 0 then show mismatched
 |  |  |  |  |  |  | 0 | 366467.5872 | 366467.5872 |  |  |  |  | 0 | 366467.59 | 366467.59
 |  |  |  |  |  |  | 23622.4548 | 24307.0992 | 684.6444 |  |  |  |  | 0 | 24307.1 | 24307.1
 |  |  |  |  |  |  | 77220 | 0 | 0 |  |  |  |  | 77220 | 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: 867092d1713980168-by-row-bycol-question-min-sales-person
Sheet: Sheet2

 | Name/Month | 2023-01-31 00:00:00 | 2023-02-28 00:00:00 | 2023-03-31 00:00:00 | 2023-04-30 00:00:00 | 2023-05-31 00:00:00 | 2023-06-30 00:00:00 | 2023-07-31 00:00:00 | 2023-08-31 00:00:00 | 2023-09-30 00:00:00 | 2023-10-31 00:00:00 | 2023-11-30 00:00:00 | 2023-12-31 00:00:00
 | [NAME] | 16336 | 11267 | 13083 | 12893 | 10262 | 10512 | 17415 | 18855 | 15049 | 13793 | 13639 | 18936
 | [NAME] | 18140 | 12263 | 10095 | 13207 | 11832 | 12897 | 19697 | 16317 | 18476 | 12198 | 19890 | 17674
 | [NAME] | 15094 | 10995 | 17005 | 11531 | 13028 | 16634 | 14861 | 11086 | 11578 | 13576 | 11068 | 15221
 | [NAME] | 15242 | 16769 | 12001 | 13057 | 10549 | 10955 | 17374 | 11029 | 14904 | 14016 | 13292 | 12371
 | [NAME] | 10744 | 16290 | 17127 | 17073 | 14416 | 17902 | 13313 | 19955 | 19958 | 10098 | 14546 | 14512
 | Serene | 19765 | 10749 | 13876 | 10044 | 18209 | 18369 | 19262 | 11613 | 19431 | 16142 | 11125 | 16466
 | [NAME] | 18789 | 13193 | 10437 | 19250 | 18397 | 15451 | 11295 | 18856 | 12550 | 16184 | 13874 | 18911
 | [NAME] | 17698 | 13579 | 16682 | 10260 | 14861 | 18479 | 19148 | 18699 | 15909 | 19766 | 13794 | 19630
 | Mark | 19723 | 14494 | 18799 | 19137 | 19493 | 13149 | 10503 | 17518 | 14173 | 13011 | 11440 | 17707
 | [NAME] | 15931 | 18002 | 13022 | 10815 | 12809 | 16615 | 15814 | 11664 | 12335 | 18853 | 15921 | 16715
 |  |  | Min Sales | [NAME]
 |  |  |  |  | How do I get the Sales Person who get the minimum sales for each month using Byrow/bycol?
 |  | 2023-02-28 00:00:00 | 10749
 |  | 2023-03-31 00:00:00 | 10095
 |  | 2023-04-30 00:00:00 | 10044
 |  | 2023-05-31 00:00:00 | 10262
 |  | 2023-06-30 00:00:00 | 10512
 |  | 2023-07-31 00:00:00 | 10503
 |  | 2023-08-31 00:00:00 | 11029
 |  | 2023-09-30 00:00:00 | 11578
 |  | 2023-10-31 00:00:00 | 10098
 |  | 2023-11-30 00:00:00 | 11068
 |  | 2023-12-31 00:00:00 | 12371
 |  |  | [NAME] | [NAME]
 |  | [NAME] |  |  | How do I get the Months in which the Sales person get the Most Sales using byrow/bycol?
 |  | [NAME] | 19890
 |  | [NAME] | 17005
 |  | [NAME] | 17374
 |  | [NAME] | 19958
 |  | Serene | 19765
 |  | [NAME] | 19250
 |  | [NAME] | 19766
 |  | Mark | 19723
 |  | [NAME] | 18853
Spreadsheet: 164380d1340739149-lookup-word-formula-excel-lookup-formula-help
Sheet: List

REGION
VARCHAR(30)
Canada | NA
Unassigned | UNASSIGN
US East | NA
US Federal | NA
US West | NA
Alps | EUR
Germany | EUR
Nordic | EUR
UKI | EUR
Benelux | EUR
France | EUR
Italy | EUR
SPGI | EUR
ANZ | GMU
ASEAN | GMU
CEE | GMU
GCG | GMU
ISA | GMU
Korea | GMU
LA | GMU
MEA | GMU
Japan | JPN
Spreadsheet: 773507d1647886826-compare-2-lists-to-identify-matches-existing-values-test1
Sheet: Sheet1

ID |  | Expected |  |  | Team | ABCD
[PHONE] |  | Yes
[PHONE] |  | Yes
[PHONE]
[PHONE]
[PHONE]
[PHONE]
[PHONE]
[PHONE]
[PHONE]
[PHONE]
[PHONE] |  | Yes
[PHONE] |  | Yes
[PHONE]
Spreadsheet: 79463d1279724805-conditional-partially-coping-of-rows-in-excel-partial-copying-of-rows-on-bases-of-several-conditions-1
Sheet: Party 1

 | [NAME] | Date | Status
Germany
Poland
Romania
Spreadsheet: 152060d1335235939-countif-multiple-criteria-dummyfile
Sheet: Sheet1

 |  | 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
Name1 | Full | A | A | A |  | A | A |  | A | A | A | A |  | A | A | A | A |  | A |  | A | A | A | A |  | A | A |  | A | A |  | A
[NAME] | Full | A | A | B |  | A | A |  | A | A | A | A |  | A | A | A | A |  | A |  | A | A | A | A |  | A | A |  | A | A |  | A
Name3 | Full | B | B | B |  | B | B |  | B | B | B | B |  | B | B | B | B |  | B |  | B | B | B | B |  | B | B |  | B | B |  | B
Name4 | Full | A |  | A |  | A | A |  | A | A | A | A |  | A | A | A | A |  | A |  | A | A | A | A |  | A | A |  | A | A |  | A
Name5 | Part | A | A | A |  |  | A |  | A | A |  | A |  | A | A | A | A |  | A |  | A |  | A | A |  | A |  |  | A |  |  | A
Name6 | Full | A | A | A |  | A | A |  | A | A | A | A |  | A | A | A | A |  | A |  | A | A | A | A |  | A | A |  |  | A |  | A
Name7 | Full | A | A |  |  | A | A |  | A |  | A | A |  | A | A | A | A |  | A |  |  | A | A | A |  | A | A |  | A | A |  | A
Name8 | Part | A | A |  |  |  |  |  | A | A | A | A |  | A |  | A | A |  | A |  | A | A | A | A |  | A | A |  | A | A |  | A
Name9 | Full |  | A | A |  |  | A |  | A | A | A | A |  | A | A | A | A |  | A |  | A | A |  | A |  | A | A |  |  | A |  | A
Name10 | Full | C | C | C |  | C | C |  | C | C | C | C |  | C | C | C | C |  | C |  | C |  | C | C |  | C | C |  | C | C |  | C
Name11 | Full | A | A | A |  | A | A |  | A |  | A | A |  | A | A | A | A |  | A |  | A | A | A | A |  | A | A |  | A | A |  | A
Name12 | Full | A | A |  |  | A |  |  | A |  | A | A |  | A |  | A | A |  | A |  | A | A | A | A |  | A | A |  | A | A |  | A
Name13 | Full | A | A | A |  | A | A |  | A | A | A | A |  | A | A | A | A |  | A |  | A | A | A | A |  | A | A |  | A | A |  | A
Name14 | Part | A | A | A |  | A | A |  | A | A | A | A |  | A | A | A | A |  | A |  | A | A |  | A |  | A | A |  | A | A |  | A
Name15 | Part | A | A | A |  | A |  |  | A |  | A | A |  | A | A | A | A |  |  |  | A | A |  | A |  | A | A |  | A | A |  | A
[NAME] | Part | A | A | A |  | A | A |  | A |  | A | A |  | A |  |  | A |  | A |  |  | A | A | A |  | A | A |  | A | A |  | A
Name17 | Part | A | A | A |  | A | A |  | A | A | A | A |  | A | A | A | A |  | A |  | A | A | A | A |  | A |  |  | A | A |  | A
Name18 | Part | A | A | A |  | A | A |  | A | A | A | A |  | A | A | A | A |  | A |  | A | A | A | A |  | A | A |  | A | A |  | A
 | Full Time workers count | 11
 | Part Time workers count | 7
Spreadsheet: 3d97a495-75c7-44f4-8482-a2d662d77415
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2
 |  | U.S. Census Bureau
 |  | Source: New Residential Construction
 |  | Housing Units Under Construction: United States
 |  | Seasonally Adjusted Single-family Units [Thousands of Units]
 |  | Period: 2008 to 2012
 |  | Data Extracted on: March 9, 2014 (4:01 am)
Period | Value
Jan-2008 | 592
Feb-2008 | 578
Mar-2008 | 563
Apr-2008 | 552
May-2008 | 532
Jun-2008 | 511
Jul-2008 | 489
Aug-2008 | 479
Sep-2008 | 456
Oct-2008 | 437
Nov-2008 | 417
Dec-2008 | 397
Jan-2009 | 383
Feb-2009 | 366
Mar-2009 | 344
Apr-2009 | 327
May-2009 | 316
Jun-2009 | 314
Jul-2009 | 316
Aug-2009 | 311
Sep-2009 | 314
Oct-2009 | 308
Nov-2009 | 301
Dec-2009 | 300
[NAME] | 299
[NAME] | 302
Mar-2010 | 306
Apr-2010 | 307
[NAME] | 301
[NAME] | 282
[NAME] | 277
Aug-2010 | 273
Sep-2010 | 270
Oct-2010 | 266
Nov-2010 | 266
Dec-2010 | 262
Jan-2011 | 260
Feb-2011 | 253
Mar-2011 | 253
Apr-2011 | 249
May-2011 | 246
Jun-2011 | 246
Jul-2011 | 242
Aug-2011 | 238
Sep-2011 | 237
Oct-2011 | 235
Nov-2011 | 236
Dec-2011 | 236
Jan-2012 | 241
Feb-2012 | 245
Mar-2012 | 246
Apr-2012 | 247
May-2012 | 253
Jun-2012 | 258
Jul-2012 | 262
Aug-2012 | 266
Sep-2012 | 271
Oct-2012 | 275
Nov-2012 | 280
Dec-2012 | 284
Spreadsheet: 813320d1673667451-conditional-list-in-single-cell-separated-by-commas-example
Sheet: Sheet1

 | First | Second | Third |  | First | Second | Third |  | First | Second | Third |  | RESULT
 |  |  |  |  | False | True | True |  | A | B | C |  | B, C
 |  |  |  |  | True | False | True |  | A | B | C |  | A, C
 |  |  |  |  | False | False | False
 |  |  |  |  | True | True | True |  |  |  |  |  | A, B, C
Spreadsheet: 646567d1571916322-help-to-count-cells-on-sheets-with-changing-names-example-1
Sheet: 0311

 |  |  | ROTA W/E: | 2019-11-03 00:00:00
LAST EDIT: | MONDAY | TUESDAY | WEDNESDAY | THURSDAY | FRIDAY | SATURDAY | SUNDAY
SITE 1
0600-1800
1800-0600
SITE 2
SAT 1200-1800 -SUN 0600-1200 |  |  |  |  |  | E NAME | E NAME
1800-0600 |  |  |  |  |  | F NAME
SITE 3
2000-0800 | C NAME | C NAME | C NAME | C NAME | D NAME | D NAME | C NAME
SITE 4
2000-0800 | B NAME | B NAME | B NAME | B NAME | B NAME | B NAME | B NAME
SITE 5
 | 2100-0700 | 2100-0700 | 2100-0700 | 2100-0700 | 1700-0700 | 1900-0900 | 1900-0700
 |  |  |  |  | A NAME | A NAME | A NAME