tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 113962d1309852938-copy-rows-subject-to-several-cell-values-query-file
Sheet: Sheet1

Path | H:\My Documents\Test\Venue\
Filename | Database.xls
Path and Filename | H:\My Documents\Test\Venue\Database.xls
Date (From) | 2011-04-01 00:00:00
Date (To) | 2012-08-11 00:00:00
Venue Option A | c
Venue Option B | f
Date | Venue1 | Venue 2 | Venue 3 | Venue 4
2011-04-02 00:00:00 | a | b | c | n/a
2011-04-03 00:00:00 | a | b | c | n/a
2011-04-04 00:00:00 | b | c | n/a | n/a
2011-04-07 00:00:00 | f | n/a | n/a | n/a
2011-04-09 00:00:00 | b | c | d | n/a
2011-04-14 00:00:00 | c | b | d | n/a
2011-04-16 00:00:00 | c | n/a | n/a | n/a
2011-04-21 00:00:00 | b | c | a | n/a
2011-04-22 00:00:00 | c | n/a | n/a | n/a
2011-04-26 00:00:00 | a | b | c | n/a
Spreadsheet: 767007d1644233532-convert-the-contents-of-a-cell-to-a-column-dataset
Sheet: Sheet1

Name | Expected Result
Name6-Name7-Name8-last name first-first name-Name11
Please with formula
Spreadsheet: 838565d1691140349-find-1st-2nd-3rd-to-5th-largest-with-duplicates-return-adjacent-cell-value-excelforum
Sheet: Sheet1

THIS file is in google sheets
 |  |  |  |  |  |  | 1st
 |  |  |  |  |  |  | get nth largest (1,2,3) return adjacent separated by comma
dates | data |  |  | mesagges |  |  | **Note there are possible duplicates like 25 should also return if duplicates ( 2 and 4 )
2023-07-07 00:00:00 | 20 |  | 1 | sdf |  |  | should reurn
2023-07-07 00:00:00 | 25 |  | 2
2023-07-07 00:00:00 | 15 |  | 3 | def |  |  | 2,4,3
2023-09-07 00:00:00 | 25 |  | 4
2023-09-07 00:00:00 | 5 |  | 5 | swde
 |  |  |  | start date | 2023-07-07 00:00:00 |  | 2nd is to get the messages based on date
 |  |  |  | end date | 2023-07-07 00:00:00 |  | should return messages based between two dates
 |  |  |  |  |  |  | sdf
 |  |  |  |  |  |  | def
Spreadsheet: 64273d1265141248-search-tabs-and-return-results-kc_environmental_aspects-1-
Sheet: Process - Activity 14

Operating Condition | Process Evaluated | process 14 | Date |  |  | Enter Date |  | Team | 0
 | Aspect | Impact | NR | RD | KC | L&R | Total Score | Significant? | Objective and Target? | Operational Controls
Normal | Polymer [NAME] | Resource Preservation | 3 | 3 | 0 | 0 | 6
 |  |  |  |  | 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
 |  |  |  |  | 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
 |  |  |  |  | 0 | 0 | 0
 |  |  |  |  | 0 | 0 | 0
 |  |  |  |  | 0 | 0 | 0
 |  |  |  |  | 0 | 0 | 0
Spreadsheet: 231086d1366939019-need-help-getting-started-on-a-hw-assignment-kjdeutinassign10
Sheet: Int

Author
Spreadsheet: 2466bcf9-a371-4992-918a-e9050f621941
Sheet: Sheet1

analytica 2012 - List of exhibitors | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5
 | Search by product and service index (9 Entries):
 | 7 Biotechnology 7.10 Laboratory technology for biotech and the life sciences 7.10.11 Pumps, conveyors and connectors
No. | Company | Country | City | [NAME] | Hall/Booth
1 | Applied Critical Fluids GmbH | Germany | Mannheim | 68169 | A3.534
2 | [NAME] | Germany | Dortmund | 44227 | A3.113
3 | [NAME] und Mikrosysteme | Germany | [NAME] | 07554 | A3.123
4 | DURATEC Analysentechnik GmbH | Germany | [NAME] | 68766 | A1.111
5 | HNP Mikrosysteme GmbH | Germany | Parchim | 19370 | B1.522
6 | [NAME] Kältemaschinenbau GmbH | Germany | Offenburg | 77656 | B2.311/414
7 | IDEX Health & Science | Germany | Wertheim | 97877 | A3.221/320
8 | [NAME] Miniaturkomponenten GmbH | Germany | Sulzbach | 65843 | A2.506
9 | Thermo Scientific | Germany | Dreieich | 63303 | B1.101/202
Spreadsheet: 05fe99ce-2e3e-4653-8480-92c54b45c2f3
Sheet: 15. StateAcres

 | FY 2012 Federal Real Property Charts
 | State Total Land Acreage†
 | State | Owned Acres* | Leased Acres | Total Acres
 | Alabama |  | 4042.783 | 200456.068
 | Alaska |  | 58767.365 | 2168458.902
 | Arizona |  | 38069.412 | 4662780.997
 | Arkansas |  | 3820.176 | 658665.9689999999
 | California |  | 11935.984 | 4693479.65
 | Colorado |  | 36972.292 | 853039.2320000001
 | Connecticut |  | 712.004 | 12140.916
 | Delaware |  | 115.732 | 11960.922
 | District of Columbia |  | 75.575 | 4152.166
 | Florida |  | 3819.701 | 919028.856
 | Georgia |  | 2197.925 | 971867.1250000001
 | Hawaii |  | 53857.841 | 234597.853
 | Idaho |  | 12611.978 | 1227714.109
 | Illinois |  | 3539.248 | 219026.068
 | Indiana |  | 22252.011 | 303077.378
 | Iowa |  | 1048.819 | 228728.469
 | Kansas |  | 584.047 | 596033.147
 | Kentucky |  | 1166.422 | 561242.591
 | Louisiana |  | 5946.421 | 289258.96
 | Maine |  | 363251.015 | 387697.735
 | Maryland |  | 1885.031 | 131270.32
 | Massachusetts |  | 17914.293 | 54532.722
 | Michigan |  | 2659.972 | 168163.821
 | Minnesota |  | 4433.145 | 99591.889
 | Mississippi |  | 4791.216 | 664231.368
 | Missouri |  | 10117.728 | 613273.238
 | Montana |  | 25811.554 | 490535.622
 | Nebraska |  | 691.106 | 179339.472
 | Nevada |  | 1808.594 | 5271192.706999999
 | New Hampshire |  | 292.097 | 24422.769
 | New Jersey |  | 548.992 | 87483.705
 | New Mexico |  | 24374.585 | 4042165.577000001
 | New York |  | 1746.572 | 168772.327
 | North Carolina |  | 2333.672 | 496403.5640000001
 | North Dakota |  | 5162.326 | 627323.4860000001
 | Ohio |  | 3773.82 | 154344.876
 | Oklahoma |  | 3536.936 | 1080731.08
 | Oregon |  | 45288.858 | 365879.671
 | Pennsylvania |  | 34960.95 | 198659.156
 | Rhode Island |  | 243.395 | 4524.015
 | South Carolina |  | 2618.201 | 459972.821
 | South Dakota |  | 3582.037 | 549379.2490000001
 | Tennessee |  | 2307.229 | 367042.579
 | Texas |  | 19982.895 | 1677087.821
 | Utah |  | 17691.068 | 2477885.728
 | Vermont |  | 397.86 | 18683.63
 | Virginia |  | 3222.626 | 580046.1370000001
 | Washington |  | 33442.889 | 1364597.17
 | West Virginia |  | 3261.522 | 157808.285
 | Wisconsin |  | 14577.544 | 102282.923
 | Wyoming |  | 12570.164 | 1032222.866
 | Total
 | † All real property data from the CFO Act agencies required to submit data to the FRPP
 | *includes federal government owned, museum trust, state government owned, withdrawn land, and leased.  DOES NOT INCLUDE PUBLIC DOMAIN LAND
Spreadsheet: 0876883e-49ab-4a43-ad2b-43dbe1b629e3
Sheet: Sheet1

Table 9--U.S. vegetable oil and fats prices | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8
Marketing | Soybean | Cottonseed | Sunflowerseed | Canola | Peanut | Corn | Lard 6 | Edible
year | oil 2 | oil 3 | oil 4 | oil 4 | oil 5 | oil 6 |  | tallow 6
 | Cents/pound
2001/02 | 16.46 | 17.98 | 23.25 | 23.45 | 32.23 | 19.14 | 13.55 | 13.87
2002/03 | 22.04 | 37.75 | 33.13 | 29.75 | 46.7 | 28.17 | 18.13 | 17.8
2003/04 | 29.97 | 31.21 | 33.42 | 33.76 | 60.84 | 28.43 | 26.13 | 22.37
2004/05 | 23.01 | 28.01 | 43.71 | 30.78 | 53.63 | 27.86 | 21.8 | 18.48
2005/06 | 23.41 | 29.47 | 40.64 | 31 | 44.48 | 25.18 | 21.74 | 18.16
2006/07 | 31.02 | 35.7 | 58.03 | 40.57 | 52.99 | 31.8 | 28.43 | 27.32
2007/08 | 52.03 | 73.56 | 91.15 | 65.64 | 94.53 | 69.4 | 40.85 | 41.68
2008/09 | 32.16 | 37.1 | 50.24 | 39.54 | 78.49 | 32.75 | 26.72 | 25.47
2009/10 | 35.95 | 40.27 | 52.8 | 42.88 | 59.62 | 39.29 | 31.99 | 32.26
2010/11 | 53.2 | 54.5 | 86.12 | 58.68 | 77.24 | 60.76 | 51.52 | 51.34
2011/12 | 51.9 | 53.22 | 83.2 | 57.19 | 100.15 | 56.09 | 48.11 | 50.33
2012/131 | 49.0-53.0 | 51.0-55.0 | 75.0-79.0 | 59.0-63.0 | 101-105 | 54.0-58.0 | 56.0-60.0 | 41.5-45.5
2011/12
October | 51.73 | 51.56 | 92.5 | 56.81 | 97 | 54.24 | 61.1 | 52.09
November | 51.44 | 50.5 | 91 | 56.13 | 98.75 | 53.98 | 48.86 | 45.51
December | 50.17 | 51.1 | 91 | 55.4 | 96.1 | 53.36 | 48.71 | 50.78
January | 50.99 | 52.19 | 88.75 | 55.06 | 95.81 | 54 |  | 51.1
February | 52.36 | 54.56 | 86 | 56.94 | 95 | 56.3 | 52.55 | 53.17
March | 53.43 | 55.95 | 82 | 59.1 | 96.6 | 59.31 | 54.6 | 52.24
April | 54.96 | 56.88 | 79 | 60.94 | 102.38 | 60.75 | 52.59 | 49
May | 50.69 | 52 | 80 | 55.88 | 106.13 | 58.05 | 54.82 | 55.48
June | 48.65 | 50.05 | 80.2 | 54.1 | 111 | 52.9 | 54.83 | 49.88
July | 51.96 | 53.75 | 78 | 57.44 | 110 | 54.76 | 53 | 49.13
August | 52.65 | 54.65 | 75 | 58.75 | 110 | 57.26 |  | 48.36
September | 53.81 | 55.5 | 75 | 59.75 | 104.5 | 58.21 |  | 47.19
2012/13
October | 49.31 | 51.31 | 74 | 57.5 | 103 | 54.75 | 51.6 | 42.27
November | 46.27 | 49.05 | 70.3 | 58.2 | 99.9 | 51.93 | 57 | 37.15
December1 | 47.16 | 50.06 | 67.5 | 57.13 | 98.56 | 50.63 |  | 40.92
1 Preliminary.  2 Decatur, IL.  3 PBSY Greenwood, MS.  4 Midwest. 5 Southeast mills.  6 Chicago.
NA = Not available.
Sources: USDA, Agricultural Marketing Service,  Monthly Feedstuff Prices and Milling and Baking News.
Last update: | 2013-01-15 11:18:51.640000
Spreadsheet: 837743d1690386074-running-totals-for-bank-balances-bank-balances-solution-
Sheet: Solution

 | Credit Card 1 | Credit Card 2
Opening Balances | 1000 | 2000 |  |  |  |  |  |  |  | 2546.88
Statement Month | Date | Description | Amount | Balance | Card
2023-01-01 00:00:00 | 2022-12-21 00:00:00 | PAYMENT RECEIVED - THAN | -1280 |  | Credit Card 1
2023-01-01 00:00:00 | 2022-12-22 00:00:00 | Spend 1 | 2.49 |  | Credit Card 2
2023-01-01 00:00:00 | 2022-12-22 00:00:00 | Spend 2 | 40.45 |  | Credit Card 2
2023-01-01 00:00:00 | 2022-12-22 00:00:00 | Spend 3 | 179.01 |  | Credit Card 2
2023-01-01 00:00:00 | 2022-12-24 00:00:00 | Spend 4 | 50 |  | Credit Card 2
2023-01-01 00:00:00 | 2022-12-25 00:00:00 | Spend 5 | 41.5 |  | Credit Card 2
2023-01-01 00:00:00 | 2022-12-26 00:00:00 | Spend 6 | 55.99 |  | Credit Card 2
2023-01-01 00:00:00 | 2022-12-28 00:00:00 | Spend 7 | -147.75 |  | Credit Card 1
2023-01-01 00:00:00 | 2022-12-28 00:00:00 | Spend 8 | 41.46 |  | Credit Card 2
2023-01-01 00:00:00 | 2022-12-29 00:00:00 | Spend 9 | 140 |  | Credit Card 2
2023-01-01 00:00:00 | 2022-12-29 00:00:00 | Spend 10 | -300 |  | Credit Card 2
2023-01-01 00:00:00 | 2022-12-29 00:00:00 | Spend 11 | -71.51 |  | Credit Card 1
2023-01-01 00:00:00 | 2022-12-30 00:00:00 | Spend 12 | 55.99 |  | Credit Card 1
2023-01-01 00:00:00 | 2022-12-30 00:00:00 | Spend 13 | -50 |  | Credit Card 1
2023-01-01 00:00:00 | 2022-12-30 00:00:00 | Spend 14 | -41.5 |  | Credit Card 2
2023-01-01 00:00:00 | 2022-12-30 00:00:00 | Spend 15 | 2.49 |  | Credit Card 2
2023-01-01 00:00:00 | 2022-12-30 00:00:00 | Spend 16 | 74.02 |  | Credit Card 1
2023-01-01 00:00:00 | 2022-12-31 00:00:00 | Spend 17 | -70 |  | Credit Card 2
Spreadsheet: 62579d1263494156-identifying-monthly-changes-in-product-information-and-grouping-the-results-west-coast-1
Sheet: Sheet1

Product ID | Qty | Location | Price
1 | 1000 | Warehouse A | 50
2 | 3000 | Warehouse B | 40
3 | 5000 | Warehouse A | 30
4 | 10000 | Warehouse B | 20
Spreadsheet: 35221d1232754620-automatic-adding-and-subtraction-entire-rows-excelforumautoupdate
Sheet: PromoCosts

ID | Advertising | Printing | Administrative | Labor | Postage | Other
1 | 11.12 | 25
3 | 5 | 10
4 | 150.25 | 2
5 | -500 | -200
6 | 5 | 5.5 | 5 | 5 | 4 | 4
Spreadsheet: 777076d1650123502-pull-data-from-multiple-sheets-floor-stock-sheets-template
Sheet: Rad 2004115

Rad 2004115 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Total | Service Units
Item | Price | Tue | Wed | Thu | Fri | Sat | Sun | Mon | Tue | Wed | Thu | Fri | Sat | Sun | Mon | Tue | Wed | Thu | Fri | Sat | Sun | Mon | Tue | Wed | Thu | Fri | Sat | Sun | Mon | Tue | Wed | Thu
Bottled Water | 0.14
Bottld Water | 0.14
Coffee, Decafe | 37.84
Coffee, Regular | 95.11
Coffee Liquid | 43.26
PlatesLG | 0.03
Plates Sm | 0.03
Bowls | 0.03
Refrigerator Thermometer (reg.)
Monthly Total
Spreadsheet: a7bcd593-92df-46ee-97e7-5634e12bf2ee
Sheet: 14's

14 UNDER
TEAM | Champs | Tourny's | Overall | Overall | Overall |  | Bracket | Bracket
2013-06-03 00:00:00 | Won | played | Win | Loss | Ties |  | Won | Lost
Bartow Intimidators Orange |  | 4 | 15 | 8 | 1 |  | 9 | 3
[NAME] 98 |  | 1 | 4 | 1 |  |  | 1 | 1
Central Florida Stingrays - Miller | 1 | 1 | 5 | 0 |  |  | 2 | 0
Christina Flames |  | 4 | 6 | 12 |  |  | 5 | 7
FL Misfits 14U |  | 4 | 8 | 8 |  |  | 2 | 4
Florida Havoc - Sobo |  | 1 | 2 | 2 | 1 |  | 0 | 1
Fusion 99 |  | 1 | 3 | 2 |  |  | 0 | 1
[NAME] |  | 1 | 1 | 4 |  |  | 0 | 2
[NAME] |  | 1 | 4 | 2 |  |  | 2 | 1
[NAME] |  | 2 | 0 | 7 |  |  | 0 | 1
[NAME] |  | 1 | 2 | 2 |  |  | 2 | 3
Lady Outlaws 14U | 1 | 1 | 5 | 0 |  |  | 3 | 0
Lady Phantoms |  | 3 | 4 | 7 |  |  | 1 | 3
[NAME] 00 |  | 1 | 4 | 1 |  |  | 1 | 2
Makos 99 |  | 1 | 1 | 3 |  |  | 3 | 2
Mini Bulls - Hale |  | 2 | 3 | 6 |  |  | 9 | 3
[NAME] |  | 2 | 1 | 5 | 1 |  | 3 | 4
Orlando Flames | 4 | 5 | 24 | 2 | 1 |  | 4 | 2
Osceola Overdrive |  | 1 | 1 | 3 |  |  | 0 | 1
[NAME] | 1 | 1 | 4 | 0 |  |  | 2 | 0
Pinellas Warriors |  | 6 | 6 | 19 |  |  | 3 | 6
Rascals | 1 | 1 | 4 | 2 |  |  | 0 | 2
[NAME] 00 |  | 3 | 9 | 6 |  |  | 0 | 1
[NAME] 98 |  | 1 | 0 | 4 |  |  | 2 | 4
Suncoast Storm 99 |  | 3 | 10 | 7 |  |  | 0 | 2
Tampa Heatwave Sonny |  | 3 | 3 | 8 | 1 |  | 1 | 2
Tampa Mustangs |  | 1 | 3 | 3 |  |  | 3 | 3
Tampa Revolution |  | 4 | 5 | 11 |  |  | 4 | 2
[NAME] | 1 | 3 | 10 | 4 |  |  | 1 | 1
[NAME] |  | 1 | 3 | 2 |  |  | 3 | 0
Spreadsheet: 769790d1645685925-replacing-text-values-based-on-multiple-criteria-tipping-competition
Sheet: Leaderboard

Salesperson | P.O. Number | Ship Date | F.O.B. Point | Terms
 |  |  |  | Due on receipt
Quantity | Description | Unit Price | Taxable? | Amount
1234 | Item 1 | 12.34 | Yes
Spreadsheet: 733077d1621376017-formulas-for-store-inventory-sheets-store-inv-tracker
Sheet:  Calendar

Q1
Date | Sunday | Monday | Tuesday | Wednesday | Thursday | Friday | Saturday
 | 2021-06-01 00:00:00
Names of Inventory Taker
 | [NAME] | [NAME] | Garry | [NAME] | [NAME] | Leo | [NAME]
Hours
Time | 18:40:00 | 21:00:00 | 20:30:00 | 19:15:00 | 18:45:00 | 19:30:00 | 22:15:00
Type | Home | Outside | Inside | Home | Home | Outside | Inside
PBS-STD | P32000 | P30000T | P37000E | P34000
 | P34000 | P31000T | P39000E | P36000 | P30000T | P32000 | P34000
 | P36000 | P33000T | P41000E | P33000T | P39000E | P39000E | P38000
 | P38000
Spreadsheet: 837813d1690449284-create-unique-combinations-example-hd
Sheet: Sheet1

 |  |  |  |  |  |  | Product - Campaign Combo (For every product, create unique combinations based on Classification)
 | Campaign | Classification |  | Product | Classification |  | Product | Campaign | Combo
 | 1 | Apple |  | AAA | Apple |  | AAA | 1
 | 2 | Orange |  | BBB | [NAME] |  | AAA | 5
 | 3 | Orange |  | CCC | Tomato |  | BBB | 4
 | 4 | [NAME] |  | DDD | Apple |  | CCC | 6
 | 5 | Apple |  | EEE | Orange |  | DDD | 1
 | 6 | Tomato |  |  |  |  | DDD | 5
 | 7 | Orange |  |  |  |  | EEE | 2
 |  |  |  |  |  |  | EEE | 3
 |  |  |  |  |  |  | EEE | 7
Spreadsheet: 682809d1592335918-trying-to-use-sumproduct-to-connect-two-worksheets-client-file
Sheet: Dashboard

 |  |  | Investments |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Sectors
Klant | [NAME] | Marktwaarde | Cash |  | Aalberts NV (XAMS:AALB) | Aker ASA (XOSL:AKER) | Berkshire Hathaway Inc (XNYS:BRK.B) | Bollore SE (XPAR:BOL) | Brookfield Asset Management Inc (XNYS:BAM) | CTT Correios de Portugal SA (XLIS:CTT) | Exor NV (XMIL:EXO) | Investor AB (XSTO:INVE B) | Markel Corp (XNYS:MKL) | MBB SE (XETR:MBB) | Prosus NV (XAMS:PRX) | Sofina SA (XBRU:SOF) | Aumann AG (XETR:AAG) | GreenWood | Turtle Creek | Precious Capital Global Mining & Metals Fd 2 USD | TOTAAL |  | Basismaterialen | Communicatiediensten | Consumenten Cyclisch | Consumenten Defensief | Energie | Financiële Dienstverlening | Gezondheidszorg | Industrie | Nutsbedrijven | Technologie | Vastgoed | Private equityfondsen | Cash en equivalenten | Overig | Totaal
Client
Spreadsheet: a938c132-e28d-4319-b74e-25dde3389552
Sheet: Sheet1

Test Referenced | Entry Type | Mayo ID | Description | Reporting Description | Method | Collection Container | Temperature | Stability | [NAME] | Unit of Measure | [NAME] | Minimum Volume | Reject Due To | Reference Values | Days/Times Performed | Analytic Time | Maximum Lab Time | CPT Units | CPT Code | LOINC® Code | LOINC® Attributes | Always Performed | Orderable Separately | Performing Location
SHELG | Test | SHELG | Helicobacter pylori Antibody, IgG, Serum | Helicobacter [NAME], IgG, S | Enzyme-Linked Immunosorbent Assay (ELISA) | Serum Gel Tube: SGT |  |  | 0.5 | mL | Container/Tube:  Preferred: Red top Acceptable: Serum gel [NAME]: 0.5 mL | 0.4 mL | Hemolysis	Mild OK; Gross reject Thawing	Warm reject; Cold OK  Lipemia	Mild OK; Gross reject Icterus	NA Other	NA | Negative (Results with index values of <8.95 are negative.) | Monday through Friday; 9 a.m. | Same day/1 day | 3 days | 1 | 86677 |  |  |  |  | Rochester
SHELG | [NAME] | SERUM | Serum |  |  |  | Refrigerated | 14 days
SHELG | Result | HPYG | Helicobacter [NAME], IgG, S | Helicobacter [NAME], IgG, S | Alphanumeric |  |  |  |  |  |  |  |  |  |  |  |  |  |  | In Process
SHELG | Result | DEXHG | Index Value | Index Value | Numeric |  |  |  |  |  |  |  |  |  |  |  |  |  |  | In Process
Spreadsheet: 2a1eb375-0ee4-43a9-8e4a-28bbb93b2c5e
Sheet: 4.2(GE) Major Group Enroll-Grad

Institution
Indicator 4: Student Enrollment and Graduation by Major Group
Table 4.2(GE): Major Group Fall Enrollment, Graduation & Post-Graduate / AY 20010-11
 | Major Group | GE - Geography
 | Please enter the number of students enrolled in this major group for the fall semester.
 |  |  |  |  | Fall 2011 (October 15, 2011)
 | Fall Enrollment (Snapshot) |  | American Indian |  | Non-Indian
 |  |  | M | F | M | F | Total
 |  | Full Time | na | na | na | na
 |  | Part Time | na | na | na | na
 |  | Total
 | Please enter the number of diploma, certificates, and degrees earned in this major group.  Also enter the number of students 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 gainful employment after graduation.
 |  |  |  |  | July 1, 2011- June 30, 2012
 | Graduation |  | American Indian |  | Non-Indian
 |  |  | M | F | M | F | Total
Apprenticeship/Occupational Program |  |  | na | na | na | na
 | App. graduates admitted to a college program |  | na | na | na | na
Diploma |  |  | na | na | na | na
 | [NAME]. graduates admitted to a college program |  | na | na | na | na
Certificate |  |  | na | na | na | na
 | Cert. graduates admitted to a college program |  | na | na | na | na
Associate Degree |  |  | na | na | na | na
 | Assoc. graduates admitted to four-year program |  | na | na | na | na
Bachelor's Degree |  |  | na | na | na | na
 | [NAME]. graduates admitted to graduate school |  | na | na | na | na
Master's Degree |  |  | na | na | na | na
Gainfully Employed after graduation |  |  | na | na | na | na
Graduates who completed remedial courses during their time at the TCU |  |  | na | na | na | na
Graduates who received A*CF support at some point during their coursework |  |  | na | na | na | na
Notes:
Spreadsheet: 823580d1680020390-sumif-formula-to-calculate-cells-in-between-sheets-based-on-cell-dropdown-sample
Sheet: Resources - YYYY

 | RESOURCES |  | MONTHLY ALLOCATION
 | Name | Unit Amount | 2023-01-01 00:00:00 |  | 2023-02-01 00:00:00 |  | 2023-03-01 00:00:00 |  | 2023-04-01 00:00:00 |  | 2023-05-01 00:00:00 |  | 2023-06-01 00:00:00 |  | 2023-07-01 00:00:00 |  | 2023-08-01 00:00:00 |  | 2023-09-01 00:00:00 |  | 2023-10-01 00:00:00 |  | 2023-11-01 00:00:00 |  | 2023-12-01 00:00:00 |  | 2024-01-01 00:00:00 |  | 2024-02-01 00:00:00 |  | 2024-03-01 00:00:00 |  | 2024-04-01 00:00:00 |  | 2024-05-01 00:00:00 |  | 2024-06-01 00:00:00 |  | 2024-07-01 00:00:00 |  | 2024-08-01 00:00:00 |  | 2024-09-01 00:00:00 |  | 2024-10-01 00:00:00 |  | 2024-11-01 00:00:00 |  | 2024-12-01 00:00:00
 |  |  | FORECAST | ACTUALS | FORECAST | ACTUALS | FORECAST | ACTUALS | FORECAST | ACTUALS | FORECAST | ACTUALS | FORECAST | ACTUALS | FORECAST | ACTUALS | FORECAST | ACTUALS | FORECAST | ACTUALS | FORECAST | ACTUALS | FORECAST | ACTUALS | FORECAST | ACTUALS | FORECAST | ACTUALS | FORECAST | ACTUALS | FORECAST | ACTUALS | FORECAST | ACTUALS | FORECAST | ACTUALS | FORECAST | ACTUALS | FORECAST | ACTUALS | FORECAST | ACTUALS | FORECAST | ACTUALS | FORECAST | ACTUALS | FORECAST | ACTUALS | FORECAST | ACTUALS
 |  | 500 | 1 | 1.2 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1234 | 5678
 |  | 0 | 1 | 1.3
 |  | 0 | 2 | 2.4
 |  | 500 | 1 | 1.3
 |  | 0 | 1 | 1.2
 |  | 500 | 1 | 1.3
 |  |  | 1 | 1.2
 |  |  | 1 | 1.3
 |  |  | 0.5 | 0.7
 |  |  | 1 | 1.3
 | TOTAL HEADCOUNT
 |  | Total x, UA
Spreadsheet: 105809d1303103230-conditional-formula-for-ytd-sales-comparison-ytd-comparison-sample
Sheet: Sheet1

 | No. | Branch | Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Total | YTD
 | 1 | CDO |  | 405058.8304 | 322361.28 | 523131.6832 | 547998.3712 | 644405.53 | 819906.06 | 698057.1584 | 642597.9056 | 465917.7 | 480903.4384 | 436469.8016 | 978564.25 | 6965372.008800001 | 727420.1104000001
 |  |  | 2011 | 12312 |  | 12312 |  |  |  |  |  |  |  |  |  |  | 24624
 |  |  | % Growth | 0.03039558472985706 | 0 | 0.02353518319648967 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.03385114000554582
 | 2 | Cebu |  | 331592.0496 | 270354.16 | 507599.4784 | 579104.12 | 567275.81 | 627599.5 | 539882.2352 | 460902.8256 | 430341.28 | 517150.2784000001 | 455140.3584 | 926283.9 | 6213225.995600001 | 0
 |  |  | 2011 |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
 |  |  | % Growth | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | #N/A
 | 3 | Iloilo |  | 174573.4368 | 183242.74 | 223989.2256 | 300234.3792 | 263878.5 |  |  |  |  |  |  |  | 1145918.2816 | 0
 |  |  | 2011 |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
 |  |  | % Growth | 0 | 0 | 0 | 0 | 0 | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | 0 | #N/A
 | 4 | Davao |  | 251057.9568 | 217314.09 | 363275.4496000001 | 531697.5552000001 | 477263.08 | 439695.07 | 528531.9648000001 | 404970.6304000001 | 403535.98 | 440562.3040000001 | 531556.2896 | 766906.1 | 5356366.4704 | 0
 |  |  | 2011 |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
 |  |  | % Growth | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | #N/A