tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 731296d1620284205-need-a-formula-that-will-change-the-values-automatically-in-excel-book1
Sheet: Sheet1

Issue Classification | Summary of Issue Outcome (Resolution) |  |  | Comments | Column1
Open | Data changed to resolve the issue |  |  | NAR
Ready for Review | Issue cannot be resolved (permanent issue) |  |  | AD:NAR
Resolved | No issue (confirmed data correct) |  |  | SSM:To be queried
Permanent | Other (specify in Summary of Issue Actions) |  |  | AD:Open query
 |  |  |  | AD:Added to permanet issue
 |  |  |  | AD:Open query
Spreadsheet: 134635d1325525758-creating-a-graph-with-scroll-and-checkboxes-1992
Sheet: Sheet1

 | date | pnl | qty
 | 2011-01-03 00:00:00 | 2853893 | 18098127
 | 2011-01-04 00:00:00 | -5653471 | 18282326
 | 2011-01-05 00:00:00 | 74165308 | 16687436
 | 2011-01-06 00:00:00 | -110005643 | 18140653
 | 2011-01-07 00:00:00 | 306445638 | 24995494
 | 2011-01-10 00:00:00 | -355850554 | 21181562
 | 2011-01-11 00:00:00 | 7205363 | 17572655
 | 2011-01-12 00:00:00 | -17682410 | 16085922
 | 2011-01-13 00:00:00 | 4845346704 | 17486466
 | 2011-01-14 00:00:00 | -4838346704 | 17988625
 | 2011-01-17 00:00:00 | -22801766 | 4802
 | 2011-01-18 00:00:00 | 26495390 | 18164539
 | 2011-01-19 00:00:00 | 245154745 | 25683485
 | 2011-01-20 00:00:00 | -22159 | 30262942
 | 2011-01-21 00:00:00 | 38055669 | 22008007
 | 2011-01-24 00:00:00 | -30290606 | 17095456
 | 2011-01-25 00:00:00 | -1673549 | 22597433
 | 2011-01-26 00:00:00 | 187909 | 19003874
 | 2011-01-27 00:00:00 | 606 | 20213139
 | 2011-01-28 00:00:00 | 1208491 | 38081792
 | 2011-01-31 00:00:00 | 3465106 | 25022178
Spreadsheet: 841951d1694072809-how-to-return-a-value-based-on-2-criteria-book5
Sheet: Sheet1

A3 # | Area | Open Date | Details of Issue | Supporting Images [if applicable] | Team
23-001 |  | 2023-09-06 00:00:00 |  |  | Operations Lead | [NAME]
 |  |  |  |  | Operator | x
 |  |  |  |  | Quality Lead
 |  |  |  |  | Manufacturing Engineer
 |  |  |  |  | Supply Chain
 |  |  |  |  | Design Engineer
23-002 |  | 2023-09-06 00:00:00 |  |  | Operations Lead | [NAME]
 |  |  |  |  | Operator | y
 |  |  |  |  | Quality Lead
 |  |  |  |  | Manufacturing Engineer
 |  |  |  |  | Supply Chain
 |  |  |  |  | Design Engineer
Spreadsheet: 068e1c7e-f3ed-4cfb-a2dc-42c8ce8503e4
Sheet: group fitness

 | MONDAY | TUESDAY | WEDNESDAY | THURSDAY | FRIDAY
 |  |  |  |  |  | Class Location Key
5:30-6:30 AM |  |  |  |  |  | Wellness Center
 | Variety Fitness |  | Variety Fitness |  |  | Gym 121
 |  |  |  |  |  | Dance Room-122
12:15-12:45PM | Crossfit/TRX  Boot Camp | Boxing/Core Combo | Crossfit/TRX  Boot Camp | Core Xpress | Crossfit/TRX  Boot Camp
4:40-5:20 PM | Fusion Fitness | Total Tiger Fitness | Fusion Fitness | Total Tiger Fitness
5:30-6:20 PM | Core/Cardio | ZUMBA | ZUMBA | YOGA |  | All Fitness Classes will take place in Cunningham Hall
Spreadsheet: 743090d1628200066-multiple-data-for-stock-portfolio-x12
Sheet: SECTOR MOVEMENT

SL | SECTOR | 2021-07-15 00:00:00 | 2021-07-18 00:00:00 | 2021-07-19 00:00:00 | 2021-07-25 00:00:00 | 2021-07-26 00:00:00 | 2021-07-27 00:00:00 | 2021-07-28 00:00:00 | 2021-07-29 00:00:00 | 2021-08-02 00:00:00 | 2021-08-03 00:00:00 | 5D AVG | Compare to AVG | 3x3 DMA | Compare | Movement | 3x1 | 3x2 | 3x3
6 | Engineering | 1847.21 | 2061.06 | 1382.94 | 1406.46 | 1640.41 | 1439.18 | 1227.35 | 1798.66 | 3732.51 | 3125.53
12 | Textile | 1996.73 | 1394.99 | 1148.61 | 1088.04 | 1057.42 | 1034.51 | 939.1 | 1842.73 | 2959.11 | 2763.49
5 | Pharmaceuticals & Chemicals | 1886.21 | 1435.35 | 1315.19 | 1406.95 | 1705.43 | 1512.16 | 1309.62 | 1724.82 | 3092.42 | 2370.8
3 | Financial Institutions | 776.15 | 583.57 | 585.33 | 728.83 | 577.87 | 610.63 | 423.37 | 477.01 | 905.32 | 1485.65
1 | DSE
15 | Telecommunication | 182.04 | 283.33 | 320.67 | 223.27 | 220.3 | 187.68 | 311.32 | 274.45 | 364.04 | 370.54
17 | Paper & Printing | 175.11 | 132.44 | 89.21 | 77.41 | 105.04 | 111.03 | 90.49 | 115.09 | 169.92 | 147.3
8 | Fuel & Power | 871.93 | 907.36 | 693.61 | 719.77 | 1465.45 | 1157.21 | 1057.28 | 826.69 | 1367.73 | 1395.11
10 | Food & Allied | 792.19 | 674.9 | 592.64 | 819.37 | 753.09 | 691.08 | 628.2 | 1014.15 | 1053.95 | 1086.04
11 | IT Sector | 438.11 | 329.08 | 492.39 | 233.83 | 461.55 | 485.73 | 688.3 | 435.01 | 601.73 | 880.18
18 | Insurance | 1323.91 | 1076.66 | 1658.36 | 1350.44 | 1328.47 | 2115.22 | 2534.92 | 1971.19 | 2024.05 | 1810.6
9 | Services & Real Estate | 677.14 | 424.12 | 344.95 | 715.68 | 575.74 | 761.57 | 523.39 | 428.12 | 690.98 | 693.1
14 | Ceramics Sector | 642.52 | 653.55 | 471.36 | 582.52 | 546.81 | 419.58 | 579.09 | 446.26 | 631.61 | 763.09
20 | Jute | 21.98 | 18.61 | 17.82 | 11.35 | 11.65 | 8.23 | 8.73 | 10.56 | 15.4 | 26.02
13 | Travel & Leisure | 82.69 | 84.44 | 182.29 | 58.28 | 64.66 | 97.94 | 73.4 | 73.5 | 94.3 | 121.1
2 | Bank | 1092.02 | 708.84 | 1129.72 | 1107.26 | 1143.29 | 1294.45 | 892.65 | 899.09 | 1023.47 | 2462.94
19 | Miscellaneous | 2471.92 | 1253.54 | 614.38 | 884.18 | 885.08 | 849.97 | 766 | 1130.49 | 1188.12 | 1780.31
4 | Mutual Funds | 1401.05 | 1869.27 | 948.74 | 675.85 | 715.31 | 658.5 | 803.19 | 682.45 | 930.18 | 1041.69
7 | Cement | 521.73 | 281.59 | 265.22 | 470.13 | 442.33 | 320.41 | 211.72 | 205.15 | 308.09 | 365.47
16 | Tannery Industries | 212.85 | 279.99 | 185.03 | 105.94 | 190.59 | 125.43 | 185.76 | 129.46 | 107.29 | 147.82
Spreadsheet: e73807f2-65e2-45ae-9f1f-3cd705a265b1
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
FIRGH | Test | FIRGH | Growth Hormone-Releasing Hormone (GH-RH) | Growth Hormone Releasing Hormone | Direct Radioimmunoassay (RIA) | EDTA (lavender-top) tube: EDTA OR Plain, Red-Top or serum gel tube: Red OR |  |  | 3 | mL | Submit only 1 of the following specimens:   Serum Draw blood in a plain, red-top or serum gel tube(s). Separate immediately and send 3 mL of serum frozen in a plastic vial. Note:		1. Indicate serum on request form. 	2. Label specimen appropriately (serum).      [NAME] blood in a lavender-top (EDTA) tube(s). Separate immediately and send 3 mL of EDTA plasma frozen in a plastic vial. Note:		1.  Indicate plasma on request form. 	2. Label specimen appropriately (plasma).   Patient preparation;             Patient should not be on any medications that may influence pituitary secretion. | 1.0 mL | Specimens other than	Serum, plasma Anticoagulants other than	EDTA Hemolysis	NA Thawing	Warm reject; Cold reject Lipemia	NA Icteric	NA | Levels of IR-GH-RH   Baseline range:  5-18 pg/mL Levels in GH-RH Dysfunction:   Patients with acromegaly:  up to 200 pg/mL   Patients with small cell lung carcinoma:  up to 50 pg/mL   GH-RH secreting tumors:  200-10,000 pg/mL  This test was performed using a kit that has not been cleared or approved by the FDA and is designated as research use only. The analytic performance characteristics of this test have been determined by Inter Science Institute. This test is not intended for diagnosis or patient management decisions without confirmation by other medically established means.  Test Performed by: Inter Science Institute                                        944 West Hyde Park Blvd.                                        Inglewood, CA 90302 | Monday through Friday | 5-7 days | 7-9 days | 1 | 83519 |  |  |  |  | Inter Science Institute
FIRGH | [NAME] | VARIES | Varies |  |  |  | Frozen | 365 days
FIRGH | Result | Z0926 | Growth Hormone Releasing Hormone | Growth Hormone Releasing Hormone | Alphanumeric |  |  |  |  | pg/mL |  |  |  |  |  |  |  |  |  | In Process
Spreadsheet: 38375d1236541427-frequency-of-associated-numbers-in-a-table-frequency_daddy
Sheet: Sheet1

 |  | Frequency Table
 | 1 | 2 | 3 | 4 | 5 | 6 | 7
1 |  | 1 | 0 | 0 | 0 | 0 | 1 | 1  appears with 2 and 7 once in the data table
2 | 1 |  | 2 | 3 | 1 | 3 | 2 | 2 appears with 1, 5 and 7 once, 3 two times, 4 and 6 three times
3 | 0 | 2 |  | 1 | 0 | 2 | 2
4 | 0 | 3 | 1 |  | 1 | 3 | 0 | I'm looking for a formula that will calculate the entries in the Frequency Table how many times a number in column A appears with the numbers in row 6, in the Data Table. Not just how many times it appears in the table but how many times the number in column A appears with the numbers in row 6 in each row of the data table.
5 | 0 | 1 | 0 | 1 |  | 2 | 0
6 | 0 | 3 | 2 | 3 | 2 |  | 1
7 | 1 | 2 | 2 | 0 | 0 | 1
 |  | Data Table
a | 2 | 7 | 9 | 1 | 46 | 15
b | 23 | 5 | 6 | 9 | 15 | 19
c | 6 | 8 | 11 | 4 | 2 | 5
d | 24 | 23 | 6 | 7 | 55 | 3
e | 2 | 55 | 4 | 67 | 6 | 34
f | 32 | 2 | 56 | 3 | 89 | 7
g | 65 | 72 | 4 | 3 | 2 | 6
Spreadsheet: 1ef50df9-fd95-4868-9812-e00d22eb4d07
Sheet: 2

 | November 8 | November 15 | November 22 | November 29 | December 6
Total Interest Rate* | 640181835 | 638969343 | 666542310 | 657834881 | 660225913
SDs and MSPs** | 531262208 | 531767215 | 559186535 | 552360963 | 557778712
Other | 108919627 | 107202128 | 107355775 | 105473917 | 102447202
Total Cross-Currency | 26109112 | 24113807 | 27033776 | 23418311 | 24292721
SDs and MSPs | 20188287 | 19092971 | 21978892 | 19826164 | 20605038
Other | 5920825 | 5020836 | 5054884 | 3592147 | 3687683
Total Credit | 18104725 | 18294795 | 18838704 | 18912214 | 18568590
SDs and MSPs | 13836753 | 13986002 | 14277808 | 14277521 | 13961086
Other | 4267972 | 4308793 | 4560896 | 4634693 | 4607504
Total FX**** | 62900000 | 62900000 | 62900000 | 62900000 | 62900000
SDs and MSPs | N/A | N/A | N/A | N/A | N/A
Other | N/A | N/A | N/A | N/A | N/A
Total Equity**** | 8840000 | 8840000 | 8840000 | 8840000 | 8840000
SDs and MSPs | N/A | N/A | N/A | N/A | N/A
Other | N/A | N/A | N/A | N/A | N/A
Total Other Commodity**** | 3400000 | 3400000 | 3400000 | 3400000 | 3400000
SDs and MSPs | N/A | N/A | N/A | N/A | N/A
Other | N/A | N/A | N/A | N/A | N/A
TOTAL | 759535672 | 756517945 | 787554790 | 775305406 | 778227224
Weekly snapshot, gross notional amount outstanding by asset class and participant type (millions of USD), all products, origins, currencies, tenors, and participant types, cleared and uncleared. For cleared swaps, the notional value for each of the two resulting swaps is attributed only to the counterparty facing the clearing organization (i.e., the clearing organization’s participation is not displayed). For uncleared swaps, the notional value of the swap is attributed to both swap counterparties. Because this table shows the aggregated notional values of swaps by participant, the totals on this table are twice those displayed on the "Gross Notional Outstanding by Cleared Status" table.
*See Data Dictionary for asset class descriptions.
**See Explanatory Notes for participant type descriptions.
***N/A indicates that data are not currently available.
****These numbers are estimates.
The Commission requests feedback on the format and content of this CFTC Swaps Report table. Submit comments to [EMAIL].
Spreadsheet: 785291d1656331829-formula-required-to-identify-presence-of-activity-by-type-by-individual-per-month-test-files
Sheet: Sheet1

Caller ID | Contact 1 | Contact 1 Result | Contact 2 | Contact 2 Result | Contact 3 | Contact 3 Result | Contact 4 | Contact 4 Result | Contact 5 | Contact 5 Result
1 | 2022-06-27 00:00:00 | Hang up | 2022-06-28 00:00:00 | Hang up | 2022-07-04 00:00:00 | Purchased
2 | 2022-05-28 00:00:00 | Purchased | 2022-06-29 00:00:00 | Hang up | 2022-07-02 00:00:00 | Purchased | 2022-07-04 00:00:00 | Purchased | 2022-07-05 00:00:00 | Call back
3 | 2022-06-29 00:00:00 | Purchased | 2022-06-30 00:00:00 | Purchased | 2022-07-01 00:00:00 | Hang up | 2022-07-02 00:00:00 | Purchased | 2022-08-03 00:00:00 | Hang up
4 | 2022-06-30 00:00:00 | Call back | 2022-07-01 00:00:00 | Purchased | 2022-07-04 00:00:00 | Purchased | 2022-08-05 00:00:00 | Call back
5 | 2022-07-01 00:00:00 | Hang up | 2022-07-02 00:00:00 | Call back | 2022-07-03 00:00:00 | Purchased
This is the data I would like
Number of callers hang up in July |  |  | 2
Number of callers Purchased in July |  |  | 5
Number of callers Call back in July |  |  | 2
This is the data I do not want
Number of hang up in July |  |  | 2
Number of Purchased in July |  |  | 7
Number of Call back in July |  |  | 2
Spreadsheet: 30665b4d-997e-47c3-8dc1-40e51f486f54
Sheet: FA2 Contract Holders

Functional Area 2 - Information Systems Engineering - Including Security
Note: VETS GWAC  Industry Partners were required to re-represent their size status prior to the February 2012 option period and are required to re-represent in accordance with FAR 52.219-28.  [NAME] is represented in column N.  Only those Industry Partners shown as small may be awarded task orders after February 1, 2012.
Small Business Prime Contractors
Contract Numbers | [NAME] | Vendor Address | City | State | Zip Code | Vendor Contact Name | [NAME] | Website | Phone | Fax | FA1 | FA2 | Small Business
GS-06F-0508Z |  |  |  |  |  |  |  |  |  |  | x | x | x
GS-06F-0524Z |  |  |  |  |  |  |  |  |  |  |  | x | x
GS-06F-0509Z |  |  |  |  |  |  |  |  |  |  | x | x | x
GS-06F-0510Z |  |  |  |  |  |  |  |  |  |  | x | x | x
GS-06F-0512Z |  |  |  |  |  |  |  |  |  |  | x | x | x
GS-06F-0513Z |  |  |  |  |  |  |  |  |  |  | x | x | x
GS-06F-0527Z |  |  |  |  |  |  |  |  |  |  | x | x | x
GS-06F-0529Z |  |  |  |  |  |  |  |  |  |  | x | x | x
GS-06F-0531Z |  |  |  |  |  |  |  |  |  |  | x | x | x
GS-06F-0534Z |  |  |  |  |  |  |  |  |  |  | x | x | x
GS-06F-0538Z |  |  |  |  |  |  |  |  |  |  | x | x | x
GS-06F-0544Z |  |  |  |  |  |  |  |  |  |  | x | x | x
GS-06F-0545Z |  |  |  |  |  |  |  |  |  |  | x | x | x
GS-06F-0551Z |  |  |  |  |  |  |  |  |  |  |  | x | x
GS-06F-0546Z |  |  |  |  |  |  |  |  |  |  | x | x | x
GS-06F-0549Z |  |  |  |  |  |  |  |  |  |  | x | x | x
GS-06F-0528Z |  |  |  |  |  |  |  |  |  |  | x | x | x
GS-06F-0530Z |  |  |  |  |  |  |  |  |  |  | x | x | x
GS-06F-0532Z |  |  |  |  |  |  |  |  |  |  | x | x | x
GS-06F-0533Z |  |  |  |  |  |  |  |  |  |  | x | x | x
Large Strategic Partner Contractors
Contract Numbers | [NAME] | Vendor Address | City | State | Zip Code | Vendor Contact Name | [NAME] | Website | Phone | Fax | FA1 | FA2
GS-06F-0511Z |  |  |  |  |  |  |  |  |  |  | x | x
GS-06F-0525Z |  |  |  |  |  |  |  |  |  |  |  | x
GS-06F-0514Z |  |  |  |  |  |  |  |  |  |  | x | x
GS-06F-0543Z |  |  |  |  |  |  |  |  |  |  | x | x
GS-06F-0547Z |  |  |  |  |  |  |  |  |  |  | x | x
GS-06F-0548Z |  |  |  |  |  |  |  |  |  |  | x | x
GS-06F-0535Z |  |  |  |  |  |  |  |  |  |  | x | x
Spreadsheet: 717462d1612680233-having-a-2nd-and-3rd-cascading-dropdown-list-off-a-first-dropdown-dv-for-lee
Sheet: Sheet1

dogs |  | dogs | cats | mice
cats | mice | black | yelllow | red
mice | violet | [NAME] | white | green
 | short | green | teal | orange
 |  | blue | [NAME] | violet
 |  | dogs | cats | mice
 |  | long | bald | short
 |  | short | short | short
 |  | medium | long | short
Spreadsheet: 43235d1241801662-training-mangement-fm_urban_vision_training_matrix_-1-
Sheet: Training Cost 08-09

Training Costs 2007/2008
Name | Training Provided | Training company |  |  |  | Cost
[NAME] | FM DIPLOMA | Bolton University | Completed
 |  |  |  |  |  | 0
[NAME] | FIRST AID |  |  |  |  | 0
C Wylde | FIRE RISK ASSESSMENT R | BSC | 18th June |  |  | 0
J [NAME] | FIRE RISK ASSESSMENT R | BSC | 18th June |  |  | 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: 775780d1649319173-trying-to-figure-out-the-formula-to-skip-over-blank-cells-but-add-last-five-and-divide-test-sheet-nw
Sheet: Scores

 | 1 | 2 | 3 | 4 | 5 | 2022-05-10 00:00:00 | 2022-05-17 00:00:00 | 2022-05-24 00:00:00 | 2022-05-31 00:00:00 | 2022-06-07 00:00:00 | 2022-06-14 00:00:00 | 2022-06-21 00:00:00 | 2022-06-28 00:00:00 | 2022-07-05 00:00:00 | 2022-07-12 00:00:00 | 2022-07-19 00:00:00 | 2022-07-26 00:00:00 | 2022-08-02 00:00:00 | 2022-08-09 00:00:00 | 2022-08-16 00:00:00
Score | 48 | 46 | 40 | 41 | 39 | 32 | 32 | 32 |  | 36 |  |  |  |  |  |  |  | 36
Average
Nick
Spreadsheet: 182902d1348653415-excel-bar-chart-book1
Sheet: Sheet1

 |  |  | IN MINUTE |  | BASIC PROCESS TIME |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | OVER TIME
[NAME] | QTY | PROCESSES / ACTIVITIES | ESTIMATED TIME | TOTAL TIME | 8:00 - 9:00 |  |  |  | 9:00 - 10:00 |  |  |  | 10:00 - 11:00 |  |  |  | 11:00 - 12:00 |  |  |  | 12:00 - 1:00 |  |  |  | 1:00 - 2:00 |  |  |  | 2:00 - 3:00 |  |  |  | 4:00 - 5:00 |  |  |  | 5:00 - 6:00 |  |  |  | 6:00 - 7:00 |  |  |  | 8:00 - 9:00 |  |  |  | 9:00 - 10:00 |  |  |  | 10:00 - 11:00 |  |  |  | 11:00 - 12:00
A | 2 | DRILLING | 20 |  | START |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | LUNCH BREAK |  |  |  |  |  |  |  | HIGH TEA
B | 5 | TEMPERING | 15
C | 10 | CUTTING | 30
D | 4 | DRILLING | 20
E | 3 | TEMPERING | 15
F | 2 | DRILLING | 20
G | 5 | CUTTING | 30
 | MAN
 |  | BRITNEY SPEARS
 |  | CHRISTINA AGUILERA
 |  | MADONNA
Spreadsheet: 690908d1597351530-vlookup-index-match-multiple-records-to-find-demo4
Sheet: XYZ CO

 | XYZ CO
MEMBER_ID | PROD | DESC | CODE_1 | CATEGORY_1 | CODE_2 | CATEGORY_2 | CHARGE | COUNT | OWED | INDEX | LAST | START | GROUP | Name
Spreadsheet: 274309d1383071404-count-if-one-number-of-a-concatenated-cell-is-greater-than-0-sample-3
Sheet: Sheet1

 | Application Statuses | Status | Status | Status | Approved >0
 |  | Approved | Approved | Approved
 |  | Denied | Approved | Denied
 |  | Denied | Approved | Approved
 |  | Denied | Approved | Approved
 |  | Pending | Pending | Denied
 |  | Pending | Denied | Approved
 |  | Denied | Pending | Pending
 |  | Pending | Denied | Pending
 |  | Pending | Pending | Denied
 |  | Approved | Denied | Approved
 |  | Denied | Approved | Denied
 |  | Pending | Pending | Approved
 |  | Approved | Denied | Approved
Spreadsheet: 207321d1358430878-statement-for-matching-2-columns-with-an-answer-in-a-3rd-column-bikkembergs-example
Sheet: Sheet1

Company ID | Week 1 | Week 2 | Week 3 | Week 4 | Week 5
111
222
333
444
555
666
777
888
Spreadsheet: 1e3a1c87-df0e-4a2b-83d6-019af86656b1
Sheet: Sheet1

Tennessee / Big Sandy Basin (6-) | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10
 |  |  |  |  |  |  |  |  |  | 1
 |  |  |  |  |  |  |  |  |  | 2
 |  |  |  |  |  |  |  |  |  | 3
 |  |  |  |  |  |  |  |  |  | 4
 |  |  |  |  |  |  |  |  |  | 5
 |  |  |  |  |  |  |  |  |  | 6
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 |  |  |  |  |  |  |  |  |  | 8
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Spreadsheet: 884413d1733544576-formula-to-find-category-in-a-table-food-category
Sheet: Sheet1

 | Table 1 |  |  |  | Table 2
 | Fruit | Vegetable | Nut |  | Food | Calorie | Category per Table 1 |  |  | Required
 | Apple | Broccoli | [NAME] |  | [NAME] | 164 |  |  |  | [NAME] required to find food category as per Table 1
 | [NAME] | Cabbage | Cashew |  | Apple | 96 |  |  |  | 365 as well as non-365 formulas are all welcome
 | Avocado | Pumpkin | Macadamia |  | [NAME] | 22
 | [NAME] | [NAME] | Pecan |  | Avocado | 354
 | Pear | Tomatoes | Pistachio |  | [NAME] | 111
 |  |  |  |  | Broccoli | 31
 |  |  |  |  | Cabbage | 21
 |  |  |  |  | Cashew | 165
 |  |  |  |  | Macadamia | 204
 |  |  |  |  | Pear | 116
 |  |  |  |  | Pecan | 196
 |  |  |  |  | Pistachio | 158
 |  |  |  |  | Pumpkin | 30
 |  |  |  |  | [NAME] | 132
 |  |  |  |  | Tomatoes | 32
Spreadsheet: 120371d1315243153-latitude-and-longitude-to-eastings-and-northings-projectionandtransformationcalculations
Sheet: XYZ to lat,long,H

[NAME] to Latitude, longitude and Ellipsoidal height
X | 3909833.018 |  |  |  |  |  | This is the input data
Y | -147097.1376
Z | 5020322.4777
 |  | ° | ' | " | [NAME] | Radians
latitude | N | 52 | 15 | 16.60643288554274 | 52.25461289802377 | 0.9120150444256107 | This is the result of the calculation
longitude | W | 2 | 9 | 16.51013816072464 | -2.15458614948909 | -0.03760462232645136
Ellipsoidal height | 626.2943446515128 | m
p | 3912599.11012272 |  |  |  |  |  | These values are intermediate calculation steps for the
e2 | 0.006670539761597337 |  |  |  |  |  | formulae given in 'A Guide to Coordinate Systems in Great Britain'
Initial j | N | 52 | 15 | 16.67213160928804 | 52.25463114766924 | 0.9120153629420116 | The radians value of latitude is computed using a user defined function
n | 6390905.154536825 |  |  |  |  |  | To see the Visual Basic code of the function -
 |  |  |  |  |  |  | Menu = Tools, Macro, Visual Basic Editor,
 |  |  |  |  |  |  | then view the code in "Module 1".
latitude | N | 52 | 15 | 16.60643288574647 | 52.25461289802382 |  | This is the result of the calculation using user defined functions.
longitude | W | 2 | 9 | 16.51013816073282 | -2.154586149489092 |  | To see the Visual Basic code of the functions -
Ellipsoidal height | 626.2943446524441 | m |  |  |  |  | Menu = Tools, Macro, Visual Basic Editor,
 |  |  |  |  |  |  | then view the code in "Module 1".
Spreadsheet: jim_schwieger__14301__Bronco Playoff Schedule
Sheet: Sheet2

[NAME] Playoff Bracket/Schedule
Tuesday 5/15 | Thursday 5/17 | Monday 5/21
#1 Rockies-Cook
WLY#2 @ 6:00pm | Winner of 1 vs. 8
Wednesday 5/16
#8 D'backs-Thorton |  | Winner of Round 2
 | WLY#2 @ 8:00pm
 | Friday 5/18
#5 Red Sox-Thorton
WLY#2 @ 8:00pm | Winner of 4 vs.5
Wednesday 5/16
#4 Yankees-Labay
 |  | BC#2 @ 7:00pm
 |  | Wednesday 5/23
#3 Rangers-Dean
BC#2 @ 6:00pm | Winner of 3 vs. 6
Thursday 5/17
#6 Angels-Arnold
 | WLY#2 @ 10:00am | Winner of Round 2
 | Saturday 5/19
#7 Astros-Bleyl
BC#2 @ 6:00pm | Winner of 2 vs. 7
Thursday 5/17
#2 Mets-Labay
Spreadsheet: 38681d1236822594-pull-data-from-two-other-worksheet-per-condition-2057291
Sheet: Form-01

 |  |  |  | 2009 Auction
 |  | [NAME] |  | 106
 |  | Name |  | [NAME]
 |  | Address |  | 125 Main, Here, IL, 61523
 |  | Phone |  | [PHONE]
 |  | Mobile |  | [PHONE]
 |  | email |  | [EMAIL]
 |  | Item purchase | 2 | Basketball | 58
 |  |  | 8 | Movie | 24
 |  |  | 10 | Knife set | 68
 |  |  | #N/A
 |  |  | #N/A
 |  |  | #N/A
 |  |  | #N/A
 |  |  | #N/A
 |  |  | #N/A
 |  |  | #N/A
 |  |  | #N/A
 |  |  | #N/A
 |  |  | #N/A
 |  |  | #N/A
 |  |  | #N/A
 |  |  | #N/A
 |  |  |  | Total: | 150
 |  |  |  | Thank You For Your Support!