tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 44d3b13e-621b-40e7-9b45-4f827a99f12c
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | TIB-The Independent BankersBank | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | .25 cost to Price to Waive Escrows | Unnamed: 7
 |  | 350 [NAME]., [NAME] |  |  |  | LTV must be 80% or less to qualify.
 |  | [PHONE] Toll Free//[PHONE] fax
 |  | Rate Sheet Effective: |  |  | 2014-02-07 09:24:11.690000
Product: Conv-Conforming Fixed Rate 30 Year |  |  |  |  |  | Loan Level Price Adjustment
Rate | 15 Day | 30 Day | 45 Day | 60 Day |  | Price adjustments are cumulative
4.75 | 102.875 | 102.75 | 102.625 | 102.25 |  | and are added to price quote
4.625 | 102.78 | 102.655 | 102.53 | 102.155
4.5 | 101.879 | 101.754 | 101.629 | 101.254 |  | Note: | Refer To Price [NAME]
4.375 | 100.937 | 100.812 | 100.687 | 100.312 |  |  | For all Price Adjs
4.25 | 100.313 | 100.188 | 100.063 | 99.438
4.125 | 99.513 | 99.388 | 99.263 | 98.638
4 | 98.528 | 98.403 | 98.278 | 97.653
3.875 | 97.497 | 97.372 | 97.247 | 96.622
3.75 | 96.622 | 96.497 | 96.372 | 95.747
Product: Conv-Conforming Fixed Rate 15 Year
Rate | 15 Day | 30 Day | 45 Day | 60 Day
4 | 102.875 | 102.75 | 102.625 | 102.25
3.875 | 102.846 | 102.721 | 102.596 | 102.221
3.75 | 102.436 | 102.311 | 102.186 | 101.811
3.625 | 102.036 | 101.911 | 101.786 | 101.411
3.5 | 101.462 | 101.337 | 101.212 | 100.587
3.375 | 100.709 | 100.584 | 100.459 | 99.834
3.25 | 99.906 | 99.781 | 99.656 | 99.031 |  | Minimum loan amount:
 |  |  |  |  |  | TIB does not have a minimum loan
 |  |  |  |  |  | loan amount, however a 1.00% price
 |  |  |  |  |  | discount will apply to loan amounts
 |  |  |  |  |  | less than $39,999.00
 |  |  |  |  |  | 2010 Conforming Loan Limits
 |  |  |  |  |  | 1 Unit-$417,000
 |  |  |  |  |  | 2 Unit-$533,850
 |  |  |  |  |  | 3 Unit-$645,300
 |  |  |  |  |  | 4 Unit-$801,950
A SERVICE RELEASE PREMIUM WILL BE PAID IN [NAME] WITH THE ATTACHED SCHEDULE.
 |  | TIB-The Independent BankersBank
 |  | 350 [NAME]., [NAME]
 |  | [PHONE] Toll Free//[PHONE] fax
 |  | Rate Sheet Effective:
 |  |  |  |  |  | Loan Level Price Adjustment
Rate | 15 Day | 30 Day | 45 Day |  |  | Price adjustments are cumulative
 |  |  |  |  |  | & adj. Made to the price quote
EXPIRATION DATES:
15 DAY | 2014-02-21 09:24:11.690000
30 DAY | 2014-03-08 09:24:11.690000
45 DAY | 2014-03-23 09:24:11.690000
60 DAY | 2014-04-07 09:24:11.690000
90 DAY | 2014-05-07 09:24:11.690000
A SERVICE RELEASE PREMIUM WILL BE PAID IN [NAME] WITH THE ATTACHED SCHEDULE.
Spreadsheet: 860654d1708667472-how-do-i-program-this-calendar-to-rotate-the-on-call-person-on-call-calendar-master
Sheet: Dynamic On Call Calendar

 |  | On call [NAME] Master
 |  |  | 2024 |  | April
 | January | On call | MON | TUE | WED | THU | FRI | SAT | SUN |  | To call
 | February |  |  |  |  |  |  |  |  |  | Hugh
 | March |  |  |  |  |  |  |  |  |  | [NAME]
 | April |  |  |  |  |  |  |  |  |  | [NAME]
 | May
 | June
 | July
 | August
 | September
 | October
 | November
 | December
Spreadsheet: acc39e1d-2806-4f65-bb20-c84d1af89679
Sheet: 9a

Product |  | Cleared** | Uncleared | TOTAL
Swap* | Basis* | 7247202 | 14869603 | 22116805
 | FRA | 44299380 | 17747026 | 62046407
 | Exotic |  | 3745456 | 3745456
 | Inflation |  | 3049782 | 3049782
 | IRS- [NAME] | 127834431 | 104983992 | 232818424
 | OIS | 26322112 | 22519457 | 48841569
 | VNS | 17722 |  | 17722
 | Zero Coupon | 285034 |  | 285034
With Optionality | Callable Swap |  | 724912 | 724912
 | Cap/Floor |  | 10075619 | 10075619
 | Debt Option |  | 611053 | 611053
 | Exotic Option |  | 1404077 | 1404077
 | Swaption |  | 29496884 | 29496884
Cross-Currency | Exotic |  | 85183 | 85183
 | Swap |  | 16406143 | 16406143
TOTAL |  | 206005881 | 225719187 | 431725068
Estimated gross notional amount outstanding, July 26 weekly snapshot, by product type and tenor (millions of USD), all participant types and currencies. Data are adjusted for double-counting of cleared trades to show a single exposure for each trade.
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 and Explanatory Notes for data sources.
**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: 2e72dcc9-9ffa-4af8-ac45-cc8389313bcf
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
 | Time Series Workbook
 | 5671.0 Lending Finance, Australia
 | TABLE 40. OPERATING LEASE FINANCE COMMITMENTS: By Lender: Australia, Original ($000)
Related Information: | Summary Publication | Explanatory Notes | Inquiries
 | Glossary
Data Item Description |  |  | Series Type | Series ID | Series Start | Series End | No. Obs. | Unit | Data Type | [NAME]. | Collection Month
Banks ; |  |  | Original | A2413831L | 1985-01-01 00:00:00 | 2009-06-01 00:00:00 | 294 | $'000 | FLOW | Month | 1
Finance Companies ; |  |  | Original | A2413832R | 1985-01-01 00:00:00 | 2009-06-01 00:00:00 | 294 | $'000 | FLOW | Month | 1
General Financiers ; |  |  | Original | A2413833T | 1985-01-01 00:00:00 | 2009-06-01 00:00:00 | 294 | $'000 | FLOW | Month | 1
Other Lessors ; |  |  | Original | A2413834V | 1985-01-01 00:00:00 | 2009-06-01 00:00:00 | 294 | $'000 | FLOW | Month | 1
TOTAL OPERATING LEASE FINANCE ; |  |  | Original | A2413835W | 1985-01-01 00:00:00 | 2009-06-01 00:00:00 | 294 | $'000 | FLOW | Month | 1
© Commonwealth of Australia  2009
Spreadsheet: 738958d1625393335-gpa-calculation-with-grading-rules-given-in-range-gpa-calculation-with-grading-rules-given-in-range
Sheet: Sheet1

 |  |  |  |  |  |  | New Grading Rules |  |  |  |  |  |  | Workings
 |  |  |  | New Grading with GPA |  |  | Percentage |  |  | Value |  | Increment |  |  | Base GPA | Increment | Increment | Final GPA
Obt Marks | Percentage | Grade | Value | Grade | Value |  | From | To | Grade | From | To | Factor |  | Mark | Score | Factor | Factor | Score
49 |  |  |  |  |  |  | 0 | 49.99 | F | 0 | 0.99 |  |  | 0
55 |  |  |  |  |  |  | 50 | 54.99 | D | 1 | 1.49
89.2 |  |  |  |  |  |  | 55 | 59.99 | [NAME] | 1.5 | 1.99
60 |  |  |  |  |  |  | 60 | 64.99 | C | 2 | 2.49
65 |  |  |  |  |  |  | 65 | 69.99 | C+ | 2.5 | 2.99
79.6 |  |  |  |  |  |  | 70 | 74.99 | B | 3 | 3.49
70 |  |  |  |  |  |  | 75 | 79.99 | [NAME] | 3.5 | 3.99
75 |  |  |  |  |  |  | 80 | 89.99 | A | 4 | 4
79 |  |  |  |  |  |  | 90 | 100 | A+ | 4 | 4
80
85
49
Percentage | Grade | Value
0 | F | 0
59.5 | D | 1
69.6 | C | 2
79.5 | B | 3
89.5 | A | 4
https://www.excelforum.com/excel-formulas-and-functions/1353654-gpa-calculation-with-grading-rules-given-in-range.html
Spreadsheet: 0206efd8-f0d8-420d-b485-bd3bf75d849c
Sheet: +60 XD

BWF World Senior Championships 2013
XD 60
Badminton Tournament Planner - bwf.tournamentsoftware.com
 | Member ID | St. | Cnty | Flag | Round 1 | Round 2 | Quarterfinals | Semifinals | Final | Winner
 | 2770 |  | ENG |  | [NAME] [1]
1 | 52534 |  | ENG |  | [NAME]
2 |  |  |  |  | Bye 1
 | 98645 |  | FRA |  | [NAME]
3 | 87296 |  | FRA |  | [NAME]
 | 52508 |  | RUS |  | [NAME]
4 | 96578 |  | RUS |  | Larisa Ushakova
 | 66407 |  | GER |  | Dieter Prax
5 | 87871 |  | GER |  | [NAME]
 | 56827 |  | IND |  | Sushil Kumar Patet
6 | 59665 |  | IND |  | Punita Nagalia
 | 60280 |  | CAN |  | [NAME]
7 | 60470 |  | CAN |  | [NAME]
 | 90310 |  | JPN |  | Hideo Yamamoto
8 | 73555 |  | JPN |  | [NAME]
 | 84122 |  | ENG |  | [NAME] [3/4]
9 | 73004 |  | ENG |  | Margo [NAME]
 | 88937 |  | IND |  | Darayas Surti
10 | 64799 |  | IND |  | [NAME]
 | 60407 |  | FRA |  | Alain Sistac
11 | 97659 |  | FRA |  | [NAME]
 | 89577 |  | RUS |  | Yury Pustyakov
12 | 2830 |  | RUS |  | [NAME]
 | 88819 |  | JPN |  | [NAME]
13 | 91927 |  | JPN |  | [NAME]
 | 95236 |  | FIN |  | [NAME]
14 | 81731 |  | FIN |  | Ulla Roinela
 | 62963 |  | SWE |  | [NAME]
15 | 88181 |  | SWE |  | [NAME]
 | 65347 |  | SWE |  | [NAME]
16 | 91532 |  | DEN |  | [NAME]
 | 52506 |  | RUS |  | [NAME]
17 | 94640 |  | RUS |  | [NAME]
 | 77892 |  | DEN |  | Arne Gjelstrup
18 | 92602 |  | NED |  | Jessy, [NAME]
 | 66023 |  | IND |  | Vishwas [NAME]
19 | 63872 |  | IND |  | Sunita Dsouza
 | 52485 |  | JPN |  | Toshihiko Yamamoto
20 | 59205 |  | JPN |  | Mieko Yamamoto
 | 52392 |  | SWE |  | [NAME]
21 | 75753 |  | FIN |  | [NAME]
 | 75708 |  | FRA |  | [NAME]
22 | 95726 |  | FRA |  | [NAME]
 | 68742 |  | SWE |  | Per-Arnold Hoij
23 | 52541 |  | GER |  | [NAME]
 | 52420 |  | ENG |  | [NAME] [3/4]
24 | 70164 |  | ENG |  | [NAME]
 | 61110 |  | FRA |  | [NAME]
25 | 84995 |  | FRA |  | Rita Sourisse
 | 88362 |  | FIN |  | [NAME]
26 | 61928 |  | FIN |  | [NAME]
 | 97981 |  | JPN |  | [NAME]
27 | 52482 |  | JPN |  | [NAME]
 | 5083 |  | CAN |  | [NAME]
28 | 81604 |  | CAN |  | [NAME]
 | 72053 |  | ENG |  | [NAME]
29 | 61054 |  | ENG |  | [NAME]
 | 92685 |  | IND |  | [NAME]
30 | 75909 |  | IND |  | [NAME]
31 |  |  |  |  | Bye 2
 | 50074 |  | DEN |  | [NAME] [2]
32 | 89552 |  | DEN |  | [NAME]
Spreadsheet: 766084d1643743691-need-to-make-convert-a-vertical-sheet-to-a-horizontal-data-sheet-hours-breakdown
Sheet: What I want

 |  | JAN | FEB | MAR | APRIL | MAY | [NAME] | JULY | AUGUST | SEPTEMBER | OCTOBER | NOVEMBER | DECEMBER
 | CUSTOMER |  | 90.15 | 163.9 | 91.65 | 182.78 | 102.5 | 150 | 232.5 | 137.5 | 157.5 | 124.8 | 70.73
 | INTERNAL |  | 0.5 | 4.13 | 1.5 | 3 | 0 | 11.1 | 11.4 | 9.8 | 5.8 | 1.8
 | WARRANTY |  | 43.9 | 40.1 | 73 | 39.2 | 111.7 | 48.8 | 84.95 | 56.4 | 39.3 | 71.6 | 32.25
 | TOTAL
[NAME],
 | CUSTOMER
 | INTERNAL
 | WARRANTY
 | TOTAL
Spreadsheet: 739733d1625903965-formula-needed-to-transfer-information-from-one-sheet-to-another-demo
Sheet: Sheet1

A | B | C | D |  | X | Y
1 | text 1 | text 1 | text 1 |  | text 1 | text 1
2 | text 2 | text 2 | text 2 |  | text 2 | text 2
3 | text 3 | text 3 | text 3 |  | text 3 | text 3
5 | text 5 | text 5 | text 5 |  | text 5 | text 5
6 | text 6 | text 6 | text 6 |  | text 6 | text 6
8 | text 8 | text 8 | text 8 |  | text 8 | text 8
9 | text 9 | text 9 | text 9 |  | text 9 | text 9
11 | text 11 | text 11 | text 11 |  | text 11 | text 11
Spreadsheet: 04ac40d8-7e78-4352-97ce-9873fa4e62e3
Sheet: 4.2(ES) Major Group Enroll-Grad

Institution
Indicator 4: Student Enrollment and Graduation by Major Group
Table 4.2(ES): Major Group Fall Enrollment, Graduation & Post-Graduate / AY 2010-11
 | Major Group | ES - Environmental Science/Natural Resources
 | Please enter the number of students enrolled in this major group for the fall semester.
 |  |  |  |  | Fall 2010 (October 15, 2010)
 | Fall Enrollment (Snapshot) |  | American Indian |  | Non-Indian
 |  |  | M | F | M | F | Total
 |  | Full Time | 20 | 10 | 1 | 3
 |  | Part Time | 9 | 10 | 4 | 1
 |  | Total
 | Please enter the number of diploma, certificates, and degrees earned in this major group.  Also enter the number of students graduating with degrees who earned a GPA of 3.0 or above, and the number who were admitted to a 4 year (Associate degree graduates), or graduate school (Bachelor's degree graduates).  Lastly, enter the number of all graduating students(certificate or degree) who secured employment after graduation.
 |  |  |  |  | July 1, 2010- June 30, 2011
 | Graduation |  | American Indian |  | Non-Indian
 |  |  | M | F | M | F | Total
Apprenticeship/Occupational Program |  |  | na | na | na | na
Diploma |  |  | na | na | na | na
Certificate |  |  | na | na | na | na
Associate Degree |  |  | 0 | 0 | 0 | 1
 | Assoc. graduates admitted to four-year program |  | 0 | 0 | 0 | 0
 | [NAME]. graduated with a GPA of 3.0 or above |  | 0 | 0 | 0 | 1
Bachelor's Degree |  |  | 2 | 0 | 0 | 0
 | [NAME]. graduates admitted to graduate school |  | 0 | 0 | 0 | 0
 | [NAME]. graduated with a GPA of 3.0 or above |  | 1 | 0 | 0 | 0
Master's Degree |  |  | na | na | na | na
Employed after graduation |  |  | m | m | m | m
Notes:
na = not offered; m = not tracked;
Spreadsheet: 118755d1313984110-if-statement-to-compare-times-variation_calc
Sheet: Variation Calc

3 Shifts
Start of Week | Test Time | Time Diffs | Total Week | Shifts | % Done | % To Go | [NAME]
 |  |  | 5
2 shifts
Start of Week | Test Time | Time Diffs | Total Week | Shifts | % Done | % To Go | [NAME] |  | 22:00:00
 |  |  | 5 |  |  |  |  |  | 06:00:00
Shifts | 3 | 3 | 3 | 2 |  | 2 | 3 | 3 | 2
Line | 109-1 | 109-2 | 109-3 | 109-4 |  | 110-1 | 110-2 | 110-3 | 110-4
2 Week Avg.
[NAME]
 | 13695 | 12652 | 8108 | 10340 |  | 11446 | 16635 | 15206 | 13315
Friday 10PM - Unmet
After 1 OT Shift
After 2 OT Shifts
After 3 OT Shifts
Spreadsheet: 692179d1598147713-extracting-data-from-a-column-into-another-but-sorted-and-with-2-related-cells-next-to-it-book4
Sheet: Sheet1

MY Index | Serial Number | Supplier | Sales | Revenue
12 | B52XN2 | AccuBuddy | 21 | 17274.05
11 | B07379JP | The Inspired Home | 170 | 3568.3
14 | 6HQF8PJ | Arswintech | 222 | 2323.45
13 | B07LKK8 | SKCTech | 429 | 7288.71
Spreadsheet: 330111d1404549531-vlookup-and-concatenate-combination-vlookup-and-concatenate
Sheet: Sheet1

 | Date | Particulars
 | 2014-07-01 00:00:00 | Car Washing |  | 2014-07-01 00:00:00 | 2014-07-02 00:00:00 | 2014-07-03 00:00:00 | 2014-07-04 00:00:00 | 2014-07-05 00:00:00 | 2014-07-06 00:00:00 | 2014-07-07 00:00:00
 | 2014-07-02 00:00:00 | Credit Card bill |  | Car Washing, Electricity Payment, Home Loan EMI, Dish TV Recharge, Gold Loan EMI
 | 2014-07-01 00:00:00 | Electricity Payment
 | 2014-07-02 00:00:00 | [NAME]
 | 2014-07-03 00:00:00 | School Fees |  |  | Need here (E3) vlookup formula on E2 & concatenate all matched fields.
 | 2014-07-04 00:00:00 | Society Maintenance |  |  | VLOOKUP(E2,B2:C17,2,0)
 | 2014-07-01 00:00:00 | Home Loan EMI
 | 2014-07-02 00:00:00 | Vehicle Loan EMI
 | 2014-07-06 00:00:00 | Car Washing
 | 2014-07-09 00:00:00 | Credit Card bill
 | 2014-07-02 00:00:00 | School Fees
 | 2014-07-01 00:00:00 | Dish TV Recharge
 | 2014-07-12 00:00:00 | [NAME]
 | 2014-07-01 00:00:00 | Gold Loan EMI
 | 2014-07-02 00:00:00 | Corporation Tax
 | 2014-07-03 00:00:00 | Recurring Deposit
Spreadsheet: 1c238db8-173c-498c-9563-f4eb6bbf25d2
Sheet: 8a

Product1 | Cleared2 | Uncleared | TOTAL
Basis | 146 | 168 | 314
Cap/Floor | 0 | 169 | 169
Debt Option | 0 | 0 | 0
Exotic | 0 | 0 | 0
Fixed-Fixed | 0 | 8 | 8
Fixed-Float | 30376 | 3706 | 34082
FRA | 2505 | 108 | 2613
Inflation | 0 | 138 | 138
OIS | 428 | 305 | 733
Swaption | 0 | 1296 | 1296
TOTAL
Spreadsheet: 92b8f5aa-2893-437c-a293-a783438ef738
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4
 |  | U.S. Census Bureau
 |  | Source: Quarterly Services Survey
 |  | 51: Information: U.S. Total
 |  | Not Seasonally Adjusted Total Revenue [Millions of Dollars]
 |  | Period: 2003 to 2012
 |  | Data Extracted on: May 21, 2013 (8:36 pm)
Year | 1st Quarter | 2nd Quarter | 3rd Quarter | 4th Quarter
2003 | X | X | X | 237399
2004 | 223675 | 233241 | 232983 | 246201
2005 | 236033 | 244136 | 244711 | 255856
2006 | 245182 | 254735 | 255745 | 271401
2007 | 257973 | 265739 | 267325 | 281304
2008 | 270217 | 277643 | 277604 | 282885
2009 | 261948 | 266881 | 265508 | 280622
2010 | 267483 | 274697 | 276055 | 291990
2011 | 277885 | 289552 | 288862 | 304550
2012 | 290131 | 297462 | 296119 | 321112
Spreadsheet: 070f5cc3-3ebf-4850-b52e-70cfbb1d9a7f
Sheet: 4.5

Table 4.5: Numbers, Net and Gross enrollment ratio in higher education by nationality and sex (per cent)
Country | year | Numbers |  |  | Net enrollment [NAME] |  |  | Gross Enrollment Ratio
 |  | Male | Female | Total | Male | Female | Total | Male | Female | Total
Iraq
 | 2010 | 263992 | 212385 | 476377 | ... | ... | ... | 17.7 | 13.4 | 14.6
 | 2011 | 269588 | 219811 | 489399 | ... | ... | ... | 13.3 | 11.6 | 12.5
Oman
 | 2010 | ... | ... | ... | 22 | 24 | 23 | 25 | 26 | 25
Palestine
 | 2000 | 42349 | 38194 | 80563 | ... | ... | ... | 22.80565023949953 | 21.53228488308921 | 22.18905719784253
 | 2005 | 63812 | 57982 | 121794 | 24.51639214114437 | 21.51882785343139 | 23.05187701297878 | 29.91910373712836 | 28.45782037673704 | 29.20516689293726
 | 2010 | 110623 | 86002 | 196625 | 33.6189807945217 | 24.99650205679061 | 29.39771957773437 | 42.41500550206855 | 34.38058421648071 | 38.48163645544252
 | 2011 | 121998 | 91975 | 213973 | 35.43598780124416 | 25.44559009544252 | 30.54338011829832 | 44.8800909388554 | 35.25432174479666 | 40.16605314977259
Qatar
 | 2000 | 2476 | 6417 | 8893 | ... | ... | ... | ... | ... | ...
 | 2005 | 3119 | 6641 | 9760 | ... | ... | ... | ... | ... | ...
 | 2010 | 5152 | 8787 | 13939 | ... | ... | ... | ... | ... | ...
 | 2011 | 5498 | 9854 | 15352 | ... | ... | ... | ... | ... | ...
 | 2012 | 6019 | 11247 | 17266 | ... | ... | ... | ... | ... | ...
Saudi Arabia
 | 2010 | … | … | … | ... | ... | ... | 34.73 | 38.82 | 36.76
 | 2011 | … | … | … | ... | ... | ... | 39.95 | 42.42 | 41.18
Spreadsheet: 90373d1290104416-looking-up-copying-data-book2
Sheet: Sheet1

Ref# | Product # | Reviewed
00028114 | 439024242
00022952 | 439024259
00022198 | 439896214 | 2010-10-29 00:00:00
00023178 | 439896221 | 2010-10-29 00:00:00
00021038 | 439897679 | 2010-10-29 00:00:00
00022586 | 439902496 | 2010-10-29 00:00:00
00022955 | 439910866 | 2010-10-29 00:00:00
00022955 | 439910873 | 2010-10-29 00:00:00
00022335 | 439919630 | 2010-10-29 00:00:00
00022763 | 439934473 | 2010-10-29 00:00:00
00024954 | 545001410 | 2010-10-29 00:00:00
00024954 | 545001434 | 2010-10-29 00:00:00
00026544 | 545030243
00026544 | 545030250
00026544 | 545030267
00025215 | 545031783
00025972 | 545033992 | 2010-10-29 00:00:00
00025017 | 545038386 | 2010-10-29 00:00:00
00027037 | 545043557
00027045 | 545048767
00027142 | 545048903
00027156 | 545054010
00029779 | 545055796
00028114 | 545069489
00028114 | 545069496 | 2010-10-29 00:00:00
00028291 | 545081542 | 2010-10-29 00:00:00
00030556 | 545110020 | 2010-10-29 00:00:00
00032060 | 545124935 | 2010-10-29 00:00:00
00032301 | 545128186 | 2010-10-29 00:00:00
00026544 | 545030274
Spreadsheet: 105979d1303231665-copy-info-from-one-sheet-to-another-dsschaser-copy-question
Sheet: Data Sheet

Customer # | Customer Name | Pre year Sales | [NAME] | Sales to Date
12345 | ABC | 5000 | 6000 | 800
17842 | TYZ | 15000 | 13000 | 3500
17495 | ETA | 18000 | 22000 | 4000
18859 | YYZ | 2000 | 4000 | 1200
Spreadsheet: 695922d1600464740-given-a-table-of-groups-and-members-create-a-table-of-unique-members-and-group-membership-example-group-members
Sheet: Example problem

 | Group | Member 1 | Member 2 | Member 3 | Member 4 | Member 5
 | Alpha | [NAME] | [NAME] | [NAME] | [NAME] | [NAME]
 | Bravo | [NAME] | [NAME] | [NAME]
 | [NAME] | [NAME] | [NAME] | [NAME] | [NAME]
 | Delta | [NAME] | [NAME] | [NAME] | Leo | Will
 | Echo | Leo | [NAME]
 | Member | Group 1 | Group 2 | Group 3 | Group 4
 | [NAME] | Alpha | [NAME] | Delta
 | [NAME] | Alpha | Bravo | Delta | Echo
 | [NAME] | [NAME]
 | [NAME] | Delta
 | Leo | Delta | Echo
 | [NAME] | Alpha
 | [NAME] | Bravo | [NAME]
 | [NAME] | Alpha | [NAME]
 | [NAME] | Bravo
 | [NAME] | Alpha
 | Will | Delta
Spreadsheet: 116673d1311975613-selective-columns-abbey-hill
Sheet: MUt

Munting. T |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 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
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | par 3 |  |  | [NAME]
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | hole | par | stroke index | strokes | points | penalty
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | sss | css adj | "RO"
in
out
total
Spreadsheet: 776315d1649684109-divide-a-sheet-evenly-into-3-4-sheets-ptls
Sheet: Sheet3

 | 2019-05-01 00:00:00
103366841 | 2019-05-03 00:00:00
183107090 | 2019-05-05 00:00:00
168275023 | 2019-05-07 00:00:00
170590847 | 2019-05-09 00:00:00
155772469 | 2019-05-11 00:00:00
142049708 | 2019-05-13 00:00:00
155639924 | 2019-05-15 00:00:00
137124910 | 2019-05-17 00:00:00
194244485 | 2019-05-19 00:00:00
124203684 | 2019-05-21 00:00:00
127209183 | 2019-05-23 00:00:00
189635814 | 2019-05-25 00:00:00
123705541 | 2019-05-27 00:00:00
181805546 | 2019-05-29 00:00:00
168023089 | 2019-05-31 00:00:00
Spreadsheet: 542177d1507738613-solved-calculate-average-days-with-filter-dfd
Sheet: Sheet1

 |  |  |  |  |  |  |  |  | #Case 1 |  |  | #Case 2 Filter for A
S.No. | Date | Buyer | weight | Rate | Total | Column1 | Payment | Payment Date | delayed by days
1 | 2017-10-01 00:00:00 | A | 100 | 10 |  |  | 900 | 2017-10-03 00:00:00 |  |  |  | 2
2 | 2017-10-02 00:00:00 | B | 200 | 11 |  |  | 2000 | 2017-10-06 00:00:00
3 | 2017-10-03 00:00:00 | C | 200 | 5 |  |  | 1000 | 2017-10-03 00:00:00
4 | 2017-10-05 00:00:00 | D | 150 | 10
5 | 2017-10-07 00:00:00 | A | 120 | 5
6 | 2017-10-07 00:00:00 | E | 130 | 20 |  |  | 2600 | 2017-10-08 00:00:00
7 | 2017-10-08 00:00:00 | A | 150 | 10 |  |  | 1400 | 2017-10-09 00:00:00 |  |  |  | 1
8 | 2017-10-09 00:00:00 | C | 170 | 30
9 | 2017-10-09 00:00:00 | A | 100 | 40 |  |  | 3800 | 2017-10-14 00:00:00 |  |  |  | 5
10 | 2017-10-14 00:00:00 | D | 210 | 11 |  |  | 2310 | 2017-10-15 00:00:00
 |  | Total |  |  |  |  |  |  | # (2+4+0+1+1+5+1)/7 |  |  | # (2+1+5)/3
 |  |  |  |  |  |  | this strategy
 |  |  |  |  |  |  | sum of date
 |  |  |  |  |  |  | sum of payment date
 |  |  |  |  |  |  | iffernce
 |  |  |  |  |  |  | count payment date
 |  |  |  |  |  |  | avergage delay
Spreadsheet: 294958d1391546802-using-excel-to-determine-a-shipping-schedule-book1
Sheet: Sheet1

Month | Required | Required cumulative | [NAME] | Shipped cumulative | Balance
Jan | 10 |  | 15
Feb | 20
Mar | 15
Apr | 30
May | 50
June | 75
July | 100
August | 110
September | 100
October | 70
November | 40
December | 20
Spreadsheet: 822283d1679239324-formula-to-show-net-of-debit-and-credit-monthly-in-sheet-2-book1
Sheet: Sheet1

 |  | Debit | Credit
2023-01-01 00:00:00 | crt
2023-01-03 00:00:00 | crt |  | 145
2023-01-13 00:00:00 | crt |  | 150
2023-01-14 00:00:00 | crt | 160
2023-02-15 00:00:00 | crt | 180
2023-02-16 00:00:00 | crt |  | 134
2023-02-17 00:00:00 | crt |  | 134
2023-02-18 00:00:00 | crt | 200
2023-02-19 00:00:00 | crt | 150
2023-03-01 00:00:00 | crt |  | 235
2023-03-19 00:00:00 | crt | 345
2023-03-15 00:00:00 | crt |  | 120
19/032/2023 | crt | 300