tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 213919d1360688718-returning-a-value-from-a-cell-in-onecolumn-having-checked-for-conditions-in-another-column-for-olives
Sheet: Sheet1

45 | 32.3 | 101 | 1 |  | How can I get the program, Excel, to look at Cell A1, compare A1 to all the cells in Column B and let me know which cells in Column B are greater than A1?
 | 42.6 | 115 | 2
 | 54.3 | 156 | 3 |  |  | Ok, this correct, B3 and B4 are greater than A1
 | 64.1 | 124 | 4
 | 22.3 | 111
 |  |  | I added these numbers above.
 |  |  |  |  | Next: Say there are 2 cells in Column B, for example, say B3 and B4, that are greater than A1. How can I then have Excel look at the adjacent column, Column C, for each of these cells, [NAME] and C4, compare their values and tell me [NAME] is higher than any other match?...
 |  |  |  |  | [NAME] is higher than what ?
 |  |  |  |  | Once B3 and B4 are identified as the solutions to which cells in Col B are greater than A1, the next comparison is with the adjecent cells, [NAME] and C4
 |  |  |  |  | [NAME] and C4 are highlighted in yellow above
 |  |  |  |  | [NAME] and C4 are compared and [NAME] is the one with the greater value (156)
 |  |  |  |  | Now, if I put numbers from 1, 2, 3 etc... in Column A, Excel could return the value 3, telling me [NAME], the highest of the values whose adjacent cell in Column B is greater than A1, is on row 3... Can anyone help? A very simple spreadsheet is attached.
 |  |  |  |  | share your expected output with a sample data
 |  |  |  |  | I would want 4 returned, either because it's on row 4 or because I numbered the column (see above left)
Spreadsheet: 747494d1631539494-data-extraction-from-other-sheets-based-on-the-value-from-the-dropdown-list-data-extraction-from-other-sheets-ans
Sheet: Summary of Report

Category | ALL | DEPT | SNR
ID | BASIC SALARY | OVERTIME | BONUS | COMMISSION | TOTAL NET AMOUNT |  |  | LOOKUP CONDITION: $B$1 & $D$2
 |  |  |  |  |  |  |  | IF "INACTIVE" IS CHOSEN,
 |  |  |  |  |  |  |  | The IDs that are NOT included in "Active Staff w Salary" will be shown based on $[NAME].
 |  |  |  |  |  |  |  | IF "ACTIVE" IS CHOSEN,
 |  |  |  |  |  |  |  | The IDs that are included in "Active Staff w Salary" will be shown including all the details of their salary based on $[NAME].
 |  |  |  |  |  |  |  | IF "ALL" IS CHOSEN,
 |  |  |  |  |  |  |  | All IDs that are included in "ALL Staff List" will be shown based on $[NAME].
 |  |  |  |  |  |  |  | But for those who are active, the details of the payment from the sheet "Active Staff w Salary" should be shown.
 |  |  |  |  |  |  |  | For example:
 |  |  |  |  |  |  |  | I've chosen "All" and "M" Dept.
 |  |  |  |  |  |  |  | So all the staff IDs under M dept are shown. (Lookup Sheet:ALL Staff List)
 |  |  |  |  |  |  |  | The details of the payment of 3 active IDs are shown too. (Lookup Sheet: Active Staff w Salary)
Spreadsheet: 390652d1429717846-using-sumifs-and-edate-to-retrieve-business-model-info-excel-forum-question-reply
Sheet: Sheet2

 | 2012-01-01 00:00:00 | 2012-02-01 00:00:00 | 2012-03-01 00:00:00 | 2012-04-01 00:00:00 | 2012-05-01 00:00:00 | 2012-06-01 00:00:00 | 2012-07-01 00:00:00 | 2012-08-01 00:00:00 | 2012-09-01 00:00:00 | 2012-10-01 00:00:00 | 2012-11-01 00:00:00 | 2012-12-01 00:00:00 | 2012 | 2013-01-01 00:00:00 | 2013-02-01 00:00:00 | 2013-03-01 00:00:00 | 2013-04-01 00:00:00 | 2013-05-01 00:00:00 | 2013-06-01 00:00:00 | 2013-07-01 00:00:00 | 2013-08-01 00:00:00 | 2013-09-01 00:00:00 | 2013-10-01 00:00:00 | 2013-11-01 00:00:00 | 2013-12-01 00:00:00 | 2013 | 2014-01-01 00:00:00 | 2014-02-01 00:00:00 | 2014-03-01 00:00:00 | 2014-04-01 00:00:00 | 2014-05-01 00:00:00 | 2014-06-01 00:00:00 | 2014-07-01 00:00:00 | 2014-08-01 00:00:00 | 2014-09-01 00:00:00 | 2014-10-01 00:00:00 | 2014-11-01 00:00:00 | 2014-12-01 00:00:00 | 2014
California Revenue |  |  |  | 5 | 5 | 5 | 10 | 10 | 10 | 10 | 10 | 10 |  | 10 | 10 | 10 | 10 | 10 | 10 | 15 | 15 | 15 | 15 | 15 | 15 |  | 15 | 15 | 15 | 15 | 15 | 15 | 15 | 15 | 15 | 15 | 15 | 15
Virginia Revenue |  |  |  |  |  |  |  |  |  |  |  | 1 |  | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 2 | 2 | 2 |  | 2 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3
 |  |  |  |  |  |  |  |  | [NAME] |  |  |  | Calfornia Year 1 |  |  |  |  |  |  |  |  | Cal Y2 Start |  |  |  | California Year 2
 |  |  |  |  |  |  |  |  | Virg Y1 Start |  |  |  | Virginia Year 1 |  |  |  |  |  |  |  |  | Virg [NAME] |  |  |  | Virginia Year 2
= | I need these formulas to be dynamic, calculating the start of the "year 1" on the first month that revenue begin, then I need this logic to hold up, where "year 2" begins the month after "Year 1" ends
Spreadsheet: 32460342-de2e-4895-916b-23812c78e577
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4
 |  |  | CITY OF MONTEBELLO
 |  |  | DEPARTMENT OF MUNICIPAL SERVICES
 |  |  | GOLF COURSE DIVISION
 |  | "GREENS FEES" |  | "RATE"
 |  | WEEKDAYS - 18 HOLES |  | 32
 |  | RESIDENTS |  | 20
 |  | WEEKDAYS - 9 HOLES |  | 21
 |  | RESIDENTS |  | 14
 |  | WEEKDAYS & HOLIDAYS - 18 HOLES |  | 42
 |  | RESIDENTS |  | 25
 |  | WEEKDAYS & HOLIDAYS - 9 HOLES |  | 26
 |  | RESIDENTS |  | 16
 |  | "SENIOR CITIZENS"
 |  | SENIOR CITIZENS - 18 HOLES |  | 22
 |  | RESIDENTS |  | 13
 |  | SENIOR CITIZENS - 9 HOLES |  | 18
 |  | RESIDENTS |  | 11
 |  | MONTEBELLO JUNIORS GOLF CLUB |  | 5
 |  | INDIVIDUALS UNDER 17 |  | 5
 |  | 18 HOLES DISABLED |  | 13
 |  | 9 HOLES DISABLED |  | 10
 |  | WEEKDAY TWILIGHT |  | 21
 |  | WEEKEND TWILIGHT/HOLIDAY |  | 29
 |  | COMPLIMENTARY PLAY
 |  | RESIDENT/SENIOR CITIZEN CARD (ANNUAL) |  | 20
 |  | WEEKDAY TOURNAMENT (NO CART) |  | 44
 |  | WEEKEND TOURNAMENT (NO CART) |  | 54
 |  | NON-PROFIT TOURNAMENT (WK DAYS ONLY) |  | 32
 |  | (NO CART)
 |  | "CAR RENTALS"
 |  | TOURNAMENTS |  | 13
 |  | ONE PERSON/18 - HOLE (3RD CART FOR |  | 13
 |  | FIVESOME/ 1-PERSON WITH COMP.)
 |  | 18 - HOLES |  | 26
 |  | 9 - HOLES |  | 20
 |  | TWILIGHT CART |  | 22
 |  | COMPLIMENTARY CART
Spreadsheet: 02b7d5a5-a7b4-446e-8dde-684d5c8af5d3
Sheet: Sheet1

TECHNICAL SERVICES DEPARTMENT | 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
SERIAL STATISTICS - 2005/2006
 | JUL | AUG | SEP | OCT | NOV | DEC | JAN | FEB | MAR | APR | MAY | JUN | YTD
[NAME] | 2 | 0 | 6 | 6 | 0 | 0 | 14 | 0 | 0 | 1 | 28 | 41 | 98
Titles added | 2 | 4 | 7 | 2 | 0 | 2 | 6 | 2 | 2 | 3 | 0 | 3 | 33
[NAME] added | 384 | 355 | 299 | 258 | 164 | 307 | 310 | 327 | 216 | 211 | 303 | 527 | 3661
-Subscriptions | 103 | 102 | 52 | 55 | 68 | 79 | 96 | 59 | 52 | 54 | 42 | 91 | 853
-Binding | 281 | 253 | 247 | 203 | 96 | 228 | 214 | 268 | 164 | 157 | 261 | 436 | 2808
[NAME] processed | 1065 | 1434 | 605 | 1509 | 1178 | 807 | 617 | 1590 | 2129 | 1002 | 1581 | 1698 | 15215
[NAME] temp bound | 140 | 50 | 0 | 10 | 12 | 0 | 0 | 0 | 53 | 3 | 0 | 63 | 331
[NAME] mended | 79 | 76 | 0 | 9 | 12 | 1 | 0 | 10 | 29 | 33 | 40 | 64 | 353
Mform pieces added | 8 | 11 | 19 | 16 | 8 | 9 | 33 | 13 | 22 | 13 | 2 | 19 | 173
-Film | 8 | 11 | 19 | 16 | 8 | 9 | 33 | 13 | 22 | 13 | 2 | 19 | 173
-Fiche |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
Claims sent | 145 | 235 | 64 | 93 | 47 | 146 | 145 | 100 | 166 | 96 | 63 | 129 | 1429
Pieces checked in | 2019 | 1796 | 1523 | 1783 | 1710 | 1603 | 1332 | 1462 | 1460 | 1264 | 1266 | 1267 | 18485
Spreadsheet: 0b402ec7-c719-4872-86f6-054269438ad3
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
 | 6457.0 International Trade Price Indexes, Australia
 | Table 19. Export Price Index by Selected ANZSIC Division and Subdivision, Index Numbers
Related Information: | Summary Publication | Explanatory Notes | Inquiries
Data Item Description |  |  | Series Type | Series ID | Series Start | Series End | No. Obs. | Unit | Data Type | [NAME]. | Collection Month
Index Numbers ;  (A) Agriculture, forestry and fishing ; |  |  | Original | A3343431J | 1974-09-01 00:00:00 | 2011-12-01 00:00:00 | 150 | Index Numbers | INDEX | Quarter | 3
Index Numbers ;  (B) Mining ; |  |  | Original | A3343433L | 1974-09-01 00:00:00 | 2011-12-01 00:00:00 | 150 | Index Numbers | INDEX | Quarter | 3
Index Numbers ;  06 Coal mining ; |  |  | Original | A3343389R | 1974-09-01 00:00:00 | 2011-12-01 00:00:00 | 150 | Index Numbers | INDEX | Quarter | 3
Index Numbers ;  08 Metal ore mining ; |  |  | Original | A3343413C | 1974-09-01 00:00:00 | 2011-12-01 00:00:00 | 150 | Index Numbers | INDEX | Quarter | 3
Index Numbers ;  (C) Manufacturing ; |  |  | Original | A3343417L | 1974-09-01 00:00:00 | 2011-12-01 00:00:00 | 150 | Index Numbers | INDEX | Quarter | 3
Index Numbers ;  11 Food product manufacturing ; |  |  | Original | A3343423J | 2001-09-01 00:00:00 | 2011-12-01 00:00:00 | 42 | Index Numbers | INDEX | Quarter | 3
Index Numbers ;  12 Beverage and tobacco product manufacturing ; |  |  | Original | A3343437W | 2001-09-01 00:00:00 | 2011-12-01 00:00:00 | 42 | Index Numbers | INDEX | Quarter | 3
Index Numbers ;  17 Petroleum and coal product manufacturing ; |  |  | Original | A3343409L | 2001-09-01 00:00:00 | 2011-12-01 00:00:00 | 42 | Index Numbers | INDEX | Quarter | 3
Index Numbers ;  18 Basic chemical and chemical product manufacturing ; |  |  | Original | A3343403X | 2001-09-01 00:00:00 | 2011-12-01 00:00:00 | 42 | Index Numbers | INDEX | Quarter | 3
Index Numbers ;  19 Polymer product and rubber product manufacturing ; |  |  | Original | A3343427T | 2001-09-01 00:00:00 | 2011-12-01 00:00:00 | 42 | Index Numbers | INDEX | Quarter | 3
© Commonwealth of Australia  2012
Spreadsheet: 100640d1298947206-excel-2007-max-and-hlookup-problems-horzindexmatch
Sheet: Summary

Site | [NAME] | Month | Should Be
[NAME] | 65 | 2011-05-01 00:00:00 | 2011-05-11 00:00:00
[NAME] | 45 | 2011-02-01 00:00:00 | 3/11 or 5/11
[NAME] | 37 | 2011-04-01 00:00:00 | 2011-04-11 00:00:00
[NAME] | 35 | 2011-02-01 00:00:00 | 2011-02-11 00:00:00
[NAME] | 176 | 2011-05-01 00:00:00 | 2011-05-11 00:00:00
Spreadsheet: 117444d1312811773-unprotect-tick-boxes-testing-protection-on-tick-boxes
Sheet: Visions and Goals

 | Return to Index |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Score |  | -5 | -4 | -3 | -2 | -1 | 0 | 1 | 2 | 3 | 4 | 5
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1 | Vision |  |  | True | False
1 | Are you content with your business proposition? |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2 | Target |  |  | False | False | False | False | False | False | False | False | False | False | True
 | Yes | No |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3 | Objectives |  |  | False | False | False | False | False | False | False | True | False | False | False
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4 | Swot |  |  | True | False | False | False | False | False | False | False | False | False | False
 | Please Comment |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5 | Reason |  |  | False | False | False | False | False | False | False | False | False | False | False
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6 | Processes |  |  | True | False | False | False | False | False | False | False | False | False | False
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7 | Growth
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8 | Org Structure |  |  | False | False | False | False | False | False | False | False | False | False | True
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9 | Improvements |  |  | False | False | False | False | False | False | False | False | False | False | True
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10 | Strategies
2 | Have you set a vision for the business and if so is it on target? |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11 | Exit |  |  | False | False | False | False | False | False | False | False | True | False | False
 | -5 | -4 | -3 | -2 | -1 | 0 | 1 | 2 | 3 | 4 | 5
 | Please Comment
3 | Do you have a business plan which states the short, medium and long term Company objectives?
 | -5 | -4 | -3 | -2 | -1 | 0 | 1 | 2 | 3 | 4 | 5
 | Please Comment
4 | Have you had a SWOT analysis carried out on all business functions?
 | -5 | -4 | -3 | -2 | -1 | 0 | 1 | 2 | 3 | 4 | 5
 | Please Comment
5 | What are your key motivations to grow the business?
 | Please Comment
6 | Do you think you  have effective systems and processes?
 | -5 | -4 | -3 | -2 | -1 | 0 | 1 | 2 | 3 | 4 | 5
 | Please Comment
7 | Where will your areas of growth come from?
 | Please Comment
8 | Is the organisational structure appropriate/adequate to deliver and manage future growth?
 | -5 | -4 | -3 | -2 | -1 | 0 | 1 | 2 | 3 | 4 | 5
 | Please Comment
9 | Are there many areas within the business that could be improved?
 | -5 | -4 | -3 | -2 | -1 | 0 | 1 | 2 | 3 | 4 | 5
 | Please Comment
10 | What are your strategies to achieve this improvement?
 | Please Comment
11 | Do you have an exit strategy?
 | -5 | -4 | -3 | -2 | -1 | 0 | 1 | 2 | 3 | 4 | 5
 | Please Comment
People and HR
Spreadsheet: 844537d1696325950-combine-week-sheets-into-week1-blank-workouttracker
Sheet: Exercises

Cardio | Choose One | [NAME] | Cable lateral raise | [NAME] | Barbell hack squat | Lat flies | Leg press calf raise | Close grip smith bench press | Glute crush | Barbell curl | Altering Floor Oblique Twist | Stretch
Walking | Cardio | Bench press | French curls (Shoulder pull-ups) | Single-leg leg press (L) | Deadlift | Lat pulls | Seated calf raise | Donkey kicks | [NAME] | Dumbbell curl | Bicycles
Running | Abs | Decline dench press | Military press (behind the neck) | Single-leg leg press (R) | Good Morning | Machine low row | Standing calf raise | Overhead cable rope extension | Lunge | Hammer curl | Crunches
jumping jacks | Back | [NAME] (knee position) | Military press (front side) | Squat |  | One-Arm dumbbell row |  | Skull cruchers |  | Smith machine drag curl | Decline sit-up
Squat | Biceps | Flat bench dumbbell fly | Overhead barbell press |  |  | Seated cable row |  | Straight bar press down |  |  | [NAME]
Prisoner squat jumps | Calves | Incline dumbbell press | Reverse pec-deck fly |  |  | T-Bar row |  |  |  |  | [NAME] (Oblique)
Burpees | Chest | Jumping Push-Ups | Shoulder flies |  |  |  |  |  |  |  | Oblique Twist (weight bar)
Mountain climbers | Glutes | [NAME] | Shoulder [NAME] |  |  |  |  |  |  |  | Oblique Twist (weight dumbbell)
Kicks | Hamstrings | Push-ups knee on bench | Upright row |  |  |  |  |  |  |  | Reverse Crunches
Squat jumps | Quads | Push-ups regular | Lateral Raise & Front |  |  |  |  |  |  |  | [NAME]
Jogging in place | Shoulders | [NAME] |  |  |  |  |  |  |  |  | V-Ups
[NAME] | Stretching | V push-Ups / 45 deg
Speed skaters | Triceps | ab slide
Modified mountain climbers
Lunge jumps
Speed skaters with weights
Jumping jacks with resistance band lat pulls
Spreadsheet: 377932d1424207592-macro-to-to-merge-data-from-list-of-rows-excel-help
Sheet: Data

 |  | b1 |  | b2 |  | b3 |  | b4 |  | [NAME] |  | b6 |  | b7 |  | b8 |  | b9 |  | b10 |  | b11 |  | b12
list | Date | Impact | Release | Impact | Release | Impact | Release | Impact | Release | Impact | Release | Impact | Release | Impact | Release | Impact | Release | Impact | Release | Impact | Release | Impact | Release | Impact | Release
Project A | 2015-12-01 00:00:00 | yes | 1 | no |  | yes |  | yes |  | yes |  | yes |  | yes |  | yes |  | yes |  | yes |  | yes |  | yes
Project B | 2015-12-07 00:00:00 | yes | 1 | no |  | yes |  | yes |  | yes |  | yes |  | yes |  | yes |  | yes |  | yes |  | yes |  | yes
Project C | 2016-07-03 00:00:00 | yes | 1 | no |  | no |  | yes |  | yes |  | yes |  | yes |  | yes |  | yes |  | yes |  | yes |  | yes
Project D | 2015-04-05 00:00:00 | yes | 1 | no |  | yes |  | no |  | yes |  | yes |  | yes |  | yes |  | yes |  | yes |  | yes |  | yes
Spreadsheet: 59306d1259796082-combine-and-sort-two-tables-709177a_jevery
Sheet: Sheet1

 |  |  |  | Data |  |  |  | Data |  |  |  |  |  |  | Desired
 |  |  |  | Entered |  |  |  | Entered |  |  |  |  |  |  | Result
 |  |  | Boat A |  |  |  |  | Boat B |  |  |  |  | A | B | A | B | A | B
 |  | RPM | MPH | GPH | MPG |  | RPM | MPH | GPH | MPG |  | RPM | MPH | MPH | GPH | GPH | MPG | MPG
 |  | x100 |  |  |  |  | x100 |  |  |  |  | x100
 |  | 5 |  |  |  |  | 5 | 2.9 | 0.18 | 16.4 |  | 5
 |  | 10 | 5.8 | 1.4 | 4.14 |  | 10 | 5.6 | 0.97 | 5.8
 |  | 15 | 7.9 | 2.7 | 2.96 |  | 15 | 7.3 | 3.64 | 2
 |  | 20 | 8.9 | 4 | 2.23 |  | 20 | 8.8 | 6.35 | 1.4
 |  | 25 | 24.7 | 4.9 | 5.04 |  | 25 | 25.8 | 7.21 | 3.6
 |  | 30 | 31.6 | 6.5 | 4.86 |  | 30 | 33 | 8.98 | 3.7
 |  | 35 | 36.8 | 8.9 | 4.14 |  | 35 | 38.4 | 10.38 | 3.7
 |  | 40 | 43.4 | 11.8 | 3.68 |  | 40 | 44.6 | 12.26 | 3.6
 |  | 45 | 53.3 | 14.7 | 3.63 |  | 45 | 56.1 | 17.43 | 3.2
 |  | 50 | 61.9 | 16.1 | 3.85 |  | 50 | 65.1 | 20.91 | 3.1
 |  | 55 | 69.2 | 20 | 3.46 |  | 55 | 75.3 | 24.64 | 3.1
 |  | WOT | 73.2 | 22.3 | 3.28 |  | WOT | 75.3 | 24.64 | 3.1
Spreadsheet: 839613d1692111350-filter-data-according-to-their-product-number-in-vertical-size-filter-data-according-their-product-number-in-vertical-size
Sheet: Sheet1

 | TIME | PRODUCT NO | PRICE 1
 | 2023-08-03 22:38:05.120000 | 19350 | 87
 | 2023-08-03 22:38:05.120000 | 19400 | 78
 | 2023-08-03 22:38:05.120000 | 19450 | 53
 | 2023-08-03 22:38:05.120000 | 19500 | 90
 | 2023-08-03 22:38:05.120000 | 19550 | 72
 | 2023-08-03 22:38:05.120000 | 19600 | 84
 | 2023-08-03 22:38:05.120000 | 19650 | 84
 | 2023-08-03 22:38:05.120000 | 19700 | 99
 | 2023-08-03 22:38:05.120000 | 19750 | 77
 | 2023-08-03 22:38:05.120000 | 19800 | 86
 | 2023-08-03 22:39:05 | 19350 | 79
 | 2023-08-03 22:39:05 | 19400 | 80
 | 2023-08-03 22:39:05 | 19450 | 84
 | 2023-08-03 22:39:05 | 19500 | 73
 | 2023-08-03 22:39:05 | 19550 | 85
 | 2023-08-03 22:39:05 | 19600 | 67
 | 2023-08-03 22:39:05 | 19650 | 71
 | 2023-08-03 22:39:05 | 19700 | 55
 | 2023-08-03 22:39:05 | 19750 | 59
 | 2023-08-03 22:39:05 | 19800 | 50
 | 2023-08-03 22:40:05 | 19350 | 55
 | 2023-08-03 22:40:05 | 19400 | 78
 | 2023-08-03 22:40:05 | 19450 | 81
 | 2023-08-03 22:40:05 | 19500 | 54
 | 2023-08-03 22:40:05 | 19550 | 63
 | 2023-08-03 22:40:05 | 19600 | 53
 | 2023-08-03 22:40:05 | 19650 | 90
 | 2023-08-03 22:40:05 | 19700 | 75
 | 2023-08-03 22:40:05 | 19750 | 93
 | 2023-08-03 22:40:05 | 19800 | 90
 | 2023-08-03 22:41:05 | 19350 | 92
 | 2023-08-03 22:41:05 | 19400 | 69
 | 2023-08-03 22:41:05 | 19450 | 72
 | 2023-08-03 22:41:05 | 19500 | 98
 | 2023-08-03 22:41:05 | 19550 | 58
 | 2023-08-03 22:41:05 | 19600 | 60
 | 2023-08-03 22:41:05 | 19650 | 84
 | 2023-08-03 22:41:05 | 19700 | 84
 | 2023-08-03 22:41:05 | 19750 | 67
 | 2023-08-03 22:41:05 | 19800 | 88
 | 2023-08-03 22:42:05 | 19350 | 91
 | 2023-08-03 22:42:05 | 19400 | 99
 | 2023-08-03 22:42:05 | 19450 | 58
 | 2023-08-03 22:42:05 | 19500 | 62
 | 2023-08-03 22:42:05 | 19550 | 56
 | 2023-08-03 22:42:05 | 19600 | 94
 | 2023-08-03 22:42:05 | 19650 | 95
 | 2023-08-03 22:42:05 | 19700 | 80
 | 2023-08-03 22:42:05 | 19750 | 80
 | 2023-08-03 22:42:05 | 19800 | 85
 | 2023-08-03 22:43:05 | 19350 | 64
 | 2023-08-03 22:43:05 | 19400 | 95
 | 2023-08-03 22:43:05 | 19450 | 100
 | 2023-08-03 22:43:05 | 19500 | 85
 | 2023-08-03 22:43:05 | 19550 | 63
 | 2023-08-03 22:43:05 | 19600 | 62
 | 2023-08-03 22:43:05 | 19650 | 94
 | 2023-08-03 22:43:05 | 19700 | 93
 | 2023-08-03 22:43:05 | 19750 | 61
 | 2023-08-03 22:43:05 | 19800 | 66
Spreadsheet: ea357b12-f430-48a9-9190-3495ca23c6a9
Sheet: Tble 12

Table 12
U.S. Export Balances and Cumulative Exports (1,000 metric tons)
 | Wheat |  |  |  |  |  | Corn | Soybeans | Total
Week ending | HRW | SRW | HRS | SWW | DUR | All wheat
Export Balances1
This week year ago
Cumulative exports-marketing year 2
2013/14 YTD
2012/13 YTD
YTD 2013/14 as % of 2012/13
Last 4 wks as % of  same period 2012/13
2012/13 Total | 10019 | 5039 | 5825 | 4619 | 591 |  | 17980 | 36220
2011/12 Total | 9904 | 4319 | 6312 | 5601 | 491 |  | 37900 | 36727
1 Current unshipped export sales to date
2 Shipped export sales to date; new marketing year in in effect for corn and soybeans
Note:  YTD = year-to-date.  Marketing Year: wheat = 6/01-5/31, corn & soybeans = 9/01-8/31
Source:  Foreign Agricultural Service/USDA (www.fas.usda.gov)
Spreadsheet: 3fd474d4-204d-4921-a172-63fc197aca80
Sheet: Sheet1

Date | Sport | Opponent | Time | Results
09/11/2010 | Women's Tennis | [NAME] | 12:00 AM | Results
[NAME] | Women's Tennis | [NAME] | 12:00 AM | Results
09/24/2010 | Women's Tennis | at Army | 12:00 AM | Results
[NAME] | Women's Tennis | at Army | 12:00 AM | Results
09/26/2010 | Women's Tennis | at Army | 12:00 AM | Results
10/01/2010 | Women's Tennis | at Queen City Classic | 12:00 AM | Results
10/02/2010 | Women's Tennis | at Queen City Classic | 12:00 AM | Results
10/03/2010 | Women's Tennis | at Queen City Classic | 12:00 AM | Results
10/21/2010 | Women's Tennis | at ITA Regional Championships | 12:00 AM | Results
10/22/2010 | Women's Tennis | at ITA Regional Championships | 12:00 AM | Results
10/23/2010 | Women's Tennis | at ITA Regional Championships | 12:00 AM | Results
01/22/2011 | Women's Tennis | vs. Bowling Green (Louisville, Ky.) | 12:00 AM | L, 1-6
01/23/2011 | Women's Tennis | at Louisville | 12:00 AM | L, 0-7
01/24/2011 | Women's Tennis | at Morehead State | 12:00 AM | W, 4-0
01/29/2011 | Women's Tennis | <b>[NAME] (at The Greenbrier)</B> | 12:00 AM | L, 1-6
01/30/2011 | Women's Tennis | <B>LIBERTY (at The Greenbrier)</B> | 12:00 AM | L, 2-5
02/04/2011 | Women's Tennis | <B>MARSHALL</B> | 12:00 AM | L, 0-7
02/16/2011 | Women's Tennis | <B>PITT</B> | 12:00 AM | W, 5-2
02/20/2011 | Women's Tennis | <B>CALIFORNIA, PA</B> | 12:00 AM | L, 3-4
02/27/2011 | Women's Tennis | at Syracuse | 12:00 AM | L, 0-7
03/09/2011 | Women's Tennis | at Duquesne | 12:00 AM | W, 5-2
03/11/2011 | Women's Tennis | <B>CINCINNATI</B> | 12:00 AM | L, 1-6
03/13/2011 | Women's Tennis | <B>ARMY</B> | 12:00 AM | W, 4-1
03/13/2011 | Women's Tennis | <B>PROVIDENCE</B> | 12:00 AM | W, 7-0
03/18/2011 | Women's Tennis | <B>SETON HALL</B> | 12:00 AM | W, 6-1
03/22/2011 | Women's Tennis | at South Carolina State | 12:00 AM | L, 0-7
03/23/2011 | Women's Tennis | at South Carolina Upstate | 12:00 AM | W, 6-1
03/25/2011 | Women's Tennis | at Richmond | 12:00 AM | L, 0-7
04/03/2011 | Women's Tennis | <B>RUTGERS</B> | 12:00 AM | L, 1-6
04/09/2011 | Women's Tennis | vs. Marquette (Hartford, Conn.) | 12:00 AM | L, 2-5
04/10/2011 | Women's Tennis | at Connecticut | 12:00 AM | W, 5-2
04/28/2011 | Women's Tennis | vs. Rutgers (Notre Dame, Ind.) | 12:00 AM | L, 0-4
04/29/2011 | Women's Tennis | St. Johns | 12:00 AM | L, 2-4
Spreadsheet: 859919d1708141233-sum-across-multiple-columns-meeting-3-criteria-v-month-on-month-balances-demo
Sheet: Summary

 |  | 2023-04-30 00:00:00 | 2024-01-31 00:00:00 | Total
 | Income
Main Heading | - Auctions
Sub Heading | Auction | -6006.17 | -59239.85
Sub Heading | AutoKart |  | -779.51
 | =SUM(FILTER(T!F2:I20,(T!D2:D20=Summary!A5)*(T!E2:E20=Summary!A6)*(T!A2:A20=Summary!B3)*(T!F3:I3=Summary!A7)))
 | =SUM(FILTER(T!F2:I20,(T!D2:D20=Summary!A5)*(T!E2:E20=Summary!A6)*(T!A2:A20=Summary!C3)*(T!F3:I3=Summary!A7)))
 | Auction | -6006.17 | -59239.85
 | AutoKart |  | -779.51
 | Could you pls. help me pull the data from (Sum from all the column meeting conditions) from "T" worksheet based on following 3 criteria
 | 1 | Main Heading
 | 2 | Sub Heading
 | 3 | Month Criteria