tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 546099d1509866216-solved-one-graph-three-variables-leavers
Sheet: Sheet1

 |  | 2014-2015 |  |  | 2015-2016 |  |  | 2016-2017
 |  | Male | Female | Total | Male | Female | Total | Male | Female | Total
 | KINDER | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 | GRADE 1 | 21 | 7 |  | 11 | 9 |  | 8 | 3
 | GRADE 2 | 9 | 7 |  | 8 | 10 |  | 6 | 5
 | GRADE 3 | 5 | 3 |  | 6 | 4 |  | 5 | 6
 | GRADE 4 | 4 | 3 |  | 4 | 4 |  | 7 | 1
 | GRADE 5 | 6 | 0 |  | 3 | 5 |  | 3 | 4
 | GRADE 6 | 10 | 5 |  | 2 | 10 |  | 1 | 0
 |  |  |  |  |  |  |  |  |  |  |  | This is not supposed to look like this. The grade level and year must interchange :(
Spreadsheet: louise_kitchen__22737__Turbine Position Report 030901
Sheet: Summary by Type

Turbine Position Report |  |  |  |  |  |  |  | CONFIDENTIAL
Summary by Turbine Type
($ MMs) |  |  |  |  |  |  |  | DRAFT
 |  |  |  |  |  |  | Financial Data as of
UNITS | MODEL | CONTROLLED BY | PROJECT(S) | DASH APPROVAL DATE / STATUS | CONTRACT COST | SCHEDULED CONTRACT PYMTS TO DATE | CANCELLATION | STATUS
 |  |  |  |  |  |  |  | Available
 |  |  |  | total per above
 |  |  |  | per Summary By [NAME] report
 |  |  |  | Difference
Spreadsheet: e41f848f-c97a-4527-b4fd-90b339da8692
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | SWIM | T1 | BIKE | T2 | RUN | POSITION | TOTAL TIME
2589 | 14222 | April | Coughlin | USA | 0 | 00:45:54 | 00:06:21 | 00:11:05 | 00:35:38 | 02:29:26 | 1 | 04:08:21
Spreadsheet: 883170d1731669875-merging-in-out-with-absent-dates-into-a-single-pivot-table-formula-power-query-sample-emp_r1
Sheet: Sheet1

First Table |  |  |  |  |  |  | Second Table
Employee | Date | Time | Status | Column1 |  |  | Employee | 1/1/2024 | 1/2/2024 | 1/3/2024
1 | 2024-01-01 00:00:00 | 08:00:00 | IN |  |  |  | 1 |  |  | A
1 | 2024-01-01 00:00:00 | 17:00:00 | OUT |  |  |  | 2 |  | CL
1 | 2024-01-02 00:00:00 | 08:00:00 | IN |  |  |  | 3 | AL
1 | 2024-01-02 00:00:00 | 17:00:00 | OUT
2 | 2024-01-01 00:00:00 | 08:00:00 | IN
2 | 2024-01-01 00:00:00 | 17:00:00 | OUT |  |  |  | below is the table like what I love to extract from the 2 data tables (Excel or Power Query)
2 | 2024-01-03 00:00:00 | 08:00:00 | IN
2 | 2024-01-03 00:00:00 | 17:00:00 | OUT |  |  |  |  | 2024-01-01 00:00:00 |  | 2024-01-02 00:00:00 |  | 2024-01-03 00:00:00
3 | 2024-01-02 00:00:00 | 08:00:00 | IN |  |  |  | Employee Emp | IN | OUT | IN | OUT | IN | OUT
3 | 2024-01-02 00:00:00 | 17:00:00 | OUT |  |  |  | 1 | 08:00:00 | 17:00:00 | 08:00:00 | 17:00:00 | AL | AL
3 | 2024-01-03 00:00:00 | 08:00:00 | IN |  |  |  | 2 | 08:00:00 | 17:00:00 | CL | CL | 08:00:00 | 17:00:00
3 | 2024-01-03 00:00:00 | 17:00:00 | OUT |  |  |  | 3 | A | A | 08:00:00 | 17:00:00 | 08:00:00 | 17:00:00
I did compiled the both but still I don’t know how to extract the data what I need. |  |  |  |  |  |  | Month: | 2024-01-01 00:00:00
Employee | Date | Status | Time |  |  |  |  | 2024-01-01 00:00:00 | 2024-01-01 00:00:00 | 2024-01-02 00:00:00 | 2024-01-02 00:00:00 | 2024-01-03 00:00:00 | 2024-01-03 00:00:00
1 | 2024-01-01 00:00:00 | IN | 0.3333333333333333 |  |  |  |  | IN | OUT | IN | OUT | IN | OUT
1 | 2024-01-01 00:00:00 | OUT | 0.7083333333333334 |  |  |  | 1 | 08:00 | 17:00 | 08:00 | 17:00 | A | A
1 | 2024-01-02 00:00:00 | IN | 0.3333333333333333 |  |  |  | 2 | 08:00 | 17:00 | CL | CL | 08:00 | 17:00
1 | 2024-01-02 00:00:00 | OUT | 0.7083333333333334 |  |  |  | 3 | AL | AL | 08:00 | 17:00 | 08:00 | 17:00
2 | 2024-01-01 00:00:00 | IN | 0.3333333333333333
2 | 2024-01-01 00:00:00 | OUT | 0.7083333333333334
2 | 2024-01-03 00:00:00 | IN | 0.3333333333333333
2 | 2024-01-03 00:00:00 | OUT | 0.7083333333333334
3 | 2024-01-02 00:00:00 | IN | 0.3333333333333333
3 | 2024-01-02 00:00:00 | OUT | 0.7083333333333334
3 | 2024-01-03 00:00:00 | IN | 0.3333333333333333
3 | 2024-01-03 00:00:00 | OUT | 0.7083333333333334
1 | 2024-01-03 00:00:00 | IN | A
2 | 2024-01-02 00:00:00 | IN | CL
3 | 2024-01-01 00:00:00 | IN | AL
1 | 2024-01-03 00:00:00 | Out | A
2 | 2024-01-02 00:00:00 | Out | CL
3 | 2024-01-01 00:00:00 | Out | AL
Spreadsheet: 695673d1600339793-vlookup-returns-0-after-text-conversion-example-sheet-20200917-vlookup
Sheet: Data

Unique ID in Tekst | Crosscheck in groups | displayName | surname | givenName | id |  | Look up on original ID | Comment
 |  | 2elijn |  |  | d5ba47f6-eb3d-44cc-b3d1-0d0558c14d80
 |  | 3CX Wallboard | Wallboard | 3CX | b44ae438-a336-49bc-b28f-f337eaab510b
 |  | Aaisja Khealiram | Khealiram | Aaisja | ef055e4a-4dbb-4a60-b565-66927c4e0bf5
 |  | aanvraag |  |  | 125bbe01-1d76-4809-8b93-2c70f813d1f1
 |  | [NAME] | Fizesan | [NAME] | 930c8630-73fa-4284-aa49-04f05eff4308
 |  | [NAME] | Ciccarello | Dario | 0bcb6213-3ef2-40c0-aca0-1e36302a1806
 |  | [NAME] | Planning | [NAME] | 63f70d0d-187a-4ff7-a6b6-1a40e392bb80
 |  | Dashboard Service | Service | [NAME] | 60e91b97-d72c-4f0f-89a8-8083d266b965
 |  | [NAME] |  |  | 06aa97a5-ba32-4a5c-9969-34612e5a5f56
 |  | [NAME] | Cammeraat | Debora | c8cedb1d-7107-4c96-833a-fabcfdf222ed
 |  | [NAME] | [NAME] | [NAME] | faaafa07-3b96-47ad-817b-d29eef585ccd
 |  | [NAME] | Gruijs | Dennis | 2142231a-8f6b-4127-bb00-32c338aef463 |  |  | Why #N/A? ID exist on the groups tab?
 |  | [NAME] | [NAME] | Dennis | f9c9dd81-1c6f-4150-a4dc-387dce699e81
 |  | [NAME] | [NAME] | Dennis | 14f31995-dafc-478b-aae3-1b6f4a5cef0b |  |  | Why #N/A? ID exist on the groups tab?
 |  | [NAME] | Bullinger | [NAME] | 36d189f0-cb9d-470a-9492-c6cdbd440954
 |  | [NAME] | [NAME] | [NAME] | ba022e45-29c2-4dab-b28d-b10b11541601
 |  | [NAME] | [NAME] | [NAME] | 4ea64d9d-87e3-4b9c-84ff-f0aadded0fdb
 |  | Developer |  |  | 744995fd-0908-4d9f-9b0b-adc3c1e8c912
Spreadsheet: 307d2260-3c9c-49f1-bec8-ecf2c38c4a3c
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6
1. Long-tail Keyword | Brainstorm Five Compelling Titles Using Keyword in Title | Final Blog Title Selection | Article Theme | Call to Action in Blog Article | Status | Publish Date
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2. Long-tail Keyword | Brainstorm Five Compelling Titles Using Keyword in Title | Final Blog Title Selection | Article Theme | Call to Action in Blog Article | Status | Publish Date
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3. Long-tail Keyword | Brainstorm Five Compelling Titles Using Keyword in Title | Final Blog Title Selection | Article Theme | Call to Action in Blog Article | Status | Publish Date
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4. Long-tail Keyword | Brainstorm Five Compelling Titles Using Keyword in Title | Final Blog Title Selection | Article Theme | Call to Action in Blog Article | Status | Publish Date
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5. Long-tail Keyword: | Brainstorm Five Compelling Titles Using Keyword in Title | Final Blog Title Selection | Article Theme | Call to Action in Blog Article | Status | Publish Date
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© 2011 HubSpot, Inc.
Spreadsheet: 813508d1673828502-xirr-fail-cash-flows-alternate-between-positive-and-negative-sample-xirr-alternative-
Sheet: Sheet1

 |  |  |  |  | XIRR
 |  |  |  |  | Total Cash inflows
 |  |  |  |  | Total Cash outflows
 |  |  |  |  | Net cashflow
 |  |  |  |  |  |  | 2022-12-31 00:00:00 | 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 | 2025-01-01 00:00:00 | 2025-02-01 00:00:00 | 2025-03-01 00:00:00 | 2025-04-01 00:00:00 | 2025-05-01 00:00:00 | 2025-06-01 00:00:00 | 2025-07-01 00:00:00 | 2025-08-01 00:00:00 | 2025-09-01 00:00:00 | 2025-10-01 00:00:00 | 2025-11-01 00:00:00 | 2025-12-01 00:00:00 | 2026-01-01 00:00:00 | 2026-02-01 00:00:00 | 2026-03-01 00:00:00 | 2026-04-01 00:00:00 | 2026-05-01 00:00:00 | 2026-06-01 00:00:00 | 2026-07-01 00:00:00 | 2026-08-01 00:00:00 | 2026-09-01 00:00:00 | 2026-10-01 00:00:00 | 2026-11-01 00:00:00 | 2026-12-01 00:00:00 | 2027-01-01 00:00:00 | 2027-02-01 00:00:00 | 2027-03-01 00:00:00 | 2027-04-01 00:00:00 | 2027-05-01 00:00:00 | 2027-06-01 00:00:00
 |  |  |  |  |  | Cash flow | -595444.7990000006 | 0 | 0 | 0 | 0 | 4011719.831712753 | 4011719.831712753 | 3993507.720601642 | 3993507.720601642 | 969378.6338802048 | -542685.909480514 | -542685.909480514 | -1531200.536932863 | 1223967.212841158 | 724824.9926842048 | 721150.0169424198 | 218314.7089458418 | -1298674.001158807 | -2099642.583906689 | -2607444.57881063 | -2613645.440863275 | -1580593.395260599 | 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 | 1565320.399075799 | 15876677.70528755 | 5292225.901762514
Spreadsheet: 804078d1667874020-true-false-formula-true-when-row-is-hidden-sample
Sheet: LTCM

 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Cond. [NAME] | ErrorCount | Show ErrorCount
 |  | Long Term Countermeasure Details |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | MFG Date |  |  |  | 0
 |  |  | Long Term Submission Dates |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5 WHY MADE
 |  | LTCM Plan Due Date |  |  |  |  |  | Original LTCM Actual Due Date |  |  |  |  |  | Revised Actual Due Date |  |  |  |  |  |  |  |  | MADE ACT1
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Act1 Respons.
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Act1 Planned
 |  | LTCM Plan Submitted |  |  |  |  |  | LTCM Actual Submitted |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Act1 Actual
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | MADE ACT2
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Act2 Respons.
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Act2 Planned
 |  | Root Cause of Non-Conformance |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Act1 Actual
 |  | Why Made Reason |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | MADE ACT3
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | [NAME].
 |  | FSDFSD |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Act3 Planned
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | [NAME]
 |  | Why Made LTCM Activity
 |  |  | Activity |  |  |  |  | Responsible |  |  |  | Planned Date |  |  | Actual Date
 |  |  |  |  |  |  |  | 123 |  |  |  | 2022-11-02 00:00:00 |  |  | 2022-11-05 00:00:00
 |  | 1
 |  | Root Cause of Non-Detection
 |  | Why Shipped Reason
 |  | Why Shipped LTCM Activity
 |  |  | Activity |  |  |  |  | Responsible |  |  |  | Planned Date |  |  | Actual Date
 |  | Non-Conformance Recurrence Prevention
 |  | SQAM Documentation Requirements
 |  | Do any LTCM activities require the Part Inspection Standard, MQC, or other SQAM documents to be updated?
 |  | SQAM documents to be updated? |  |  | SQAM Documentation |  |  | Responsible |  |  |  | Planned Date |  |  | Actual Date
 |  |  |  |  | Inspection Standard Update
 |  |  |  |  | MQC Update
 |  |  |  |  | PFMEA Update
Spreadsheet: 776035d1649447024-maxifs-function-not-working-anymore-currently-returns-0-test-dashboard2
Sheet: CLIENTS

CID | DENOMINATION | PHONE | VAT | FIRST NAME | LAST NAME | ADDRESS | POST | CITY | COUNTRY | [NAME] | WEBSITE | STATUS | LAST BILLED
9
8
7
6
5
4
3
2
1
Spreadsheet: 767459d1644488805-how-to-if-a-statement-is-true-or-false-based-on-conditions-example-sheet
Sheet: Sheet1

Product ID [SAME] | Price [SAME] | Product Col [DIFFERENT] | Colour Group ID
1234567 | 545 | 1234 | 1
1234567 | 545 | 4321 | 1
1212121 | 625 | 1234 | 2
1212121 | 625 | 4321 | 2
1212121 | 625 | 2345 | 2
8383838 | 575 | 1234 | 3
8383838 | 575 | 4321 | 3
2323232 | 650 | 1234 | 4
2323232 | 650 | 4321 | 4
3434343 | 645 | 1234 | 5
3434343 | 645 | 4321 | 5
5656565 | 750 | 1234 | 6
5656565 | 750 | 4321 | 6
5656565 | 750 | 2345 | 6
5656565 | 750 | 4567 | 6
5656565 | 750 | 5678 | 6
7676767 | 645 | 1234 | 7
7676767 | 645 | 4321 | 7
8989898 | 1150 | 1234 | 8
8989898 | 1150 | 4321 | 8
8989898 | 1150 | 3456 | 8
1010101 | 230 | 1234 | 9
1010101 | 230 | 4321 | 9
Spreadsheet: 0bdfcbf0-367a-474f-b89a-affa06d0326b
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
MB2GP | Test | MB2GP | Beta-2 Glycoprotein 1 Antibodies, IgM, Serum | Beta 2 GP1 Ab IgM, 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 OK; Cold OK Lipemia	Mild OK; Gross reject Icterus	Mild OK; [NAME] OK Other	NA | <10.0 U/mL (negative) 10.0-14.9 U/mL (borderline) > or =15.0 U/mL (positive) Results are expressed in arbitrary units.  Reference values apply to all ages. | Monday through Saturday; 8 a.m. | Same day/1 day | 6 days | 1 | 86146 |  |  |  |  | Rochester
MB2GP | [NAME] | SERUM | Serum |  |  |  | Refrigerated | 21 days
MB2GP | Result | MB2GP | Beta 2 GP1 Ab IgM, S | Beta 2 GP1 Ab IgM, S | Numeric |  |  |  |  | U/mL |  |  |  |  |  |  |  |  |  | 44449-7 | Beta 2 glycoprotein 1 Ab.IgM:ACnc:Pt:Ser:Qn:EIA
Spreadsheet: bbffcaf3-4085-4428-89b5-1c39d2ccc367
Sheet: Sheet1

Table S5- Brugia malayi [NAME] | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6
 | L3-ES - Detailed Nonredundant Peptides | NTPS | Corr. Score | rCN | NSH | TIGR Acc No.
 | 56
1 | Larval allergen, putative 247 bp
 | K.GEFVETDGKKK.Q | 2 | 3.3399 | 0.5179 | 4 | TIGR_14323_m00082
 | K.GEFVETDGKK.K | 1 | 2.2264 | 0.2448 | 4 | TIGR_14323_m00082
 | K.GEFVETDGK.K | 53 | 3.0172 | 0.5829 | 6 | TIGR_14323_m00082
 | 13
2 | Alt2 variant, putative 165 bp
 | [NAME] | 2 | 4.8997 | 0.7186 | 2 | TIGR_14863_m00021
 | R.LSENQAWTDR.G | 8 | 3.8564 | 0.6569 | 2 | TIGR_14863_m00021
 | K.LEYSYC*APEAGWQC*A.- | 1 | 3.4122 | 0.8361 |  | TIGR_14863_m00021
 | R.TNNGKLEYSYC*APEAGWQC*A.- | 2 | 3.6368 | 0.8355 |  | TIGR_14863_m00021
 | 3
3 | Chromadorea ALT protein 1571 bp
 | K.LHSC*VIER.N | 3 | 2.276 | 0.5802 | 6 | TIGR_14059_m00045
 | 1
4 | Conserved hypothetical protein 1845 bp
 | R.LHVDVESRDHFGRLFDAAK.H | 1 | 3.3765 | 0.4613 |  | TIGR_14056_m00035
5 | Hypothetical protein 1001 bp
 | [NAME] | 1 | 2.501 | 0.0959 |  | TIGR_14955_m00248
6 | Unknown, identical 125 bp
 | [NAME] | 1 | 2.6592 | 0.6743 |  | TIGR_14933_m00224
7 | Zinc knuckle family protein 637 bp
 | R.GETSAFATINQTKGDNTIKSK.K | 1 | 2.817 | 0.4114 | 12 | TIGR_12550_m00037
 | The table describes the peptides identified and the corresponding protein in the ES of L3 larvae of Brugia malayi. NTPS – Number of times peptide seen; NSH – Non-specific hits (Peptides matching with more than one protein; the number denotes number of proteins that the peptide has matched hits by BLASTP). Non-specific peptides are highlighted in yellow.
Spreadsheet: 81397d1281604865-get-info-from-one-row-into-another-based-on-a-cell-example_need_help
Sheet: Sheet0

Comment | Name | Age | Location | Time
 | Tom00
 | Tom01
 | Tom02
 | Tom03
 | Tom07
 | Tom16
 | Tom17
Spreadsheet: 82e17f27-0f4a-408b-9a56-fcc3f47acc78
Sheet: Sheet1

Owner ID | Department Code | QuadNum | FacilityNum | RoomNum | Manufacturer Code | or Manufacturer Name | Product Number | Chemical Name | Physical State | Amount | Unit | Container Count | Bay Bench | Location | Shelf | Inventory By | Received Date | Expiration Date | UserDefined 1 | UserDefined 2 | UserDefined 3 | Privacy Indicator | Surplus Indicator | CAS Number | [NAME] Number | Product Barcode_SKU | [NAME]
Spreadsheet: 853630d1703555674-trying-to-get-data-from-a-spreadsheet-and-break-it-down-per-customer-and-per-tech-raw-data
Sheet: Sheet1

 | 58.8 |  |  |  | 58.8
[NAME] | 2.49 | 49.8 |  | US Gov | 86.8
Mark | 0.47 | Unknown
[NAME] | 0.3 | 9
US Gov | 86.8
[NAME] | 2.88 | 86.39999999999999
[NAME] | 0.02 | 0.4
Spreadsheet: 0f5d1feb-673f-48ff-af58-740d1807e773
Sheet: 1.7

Table 1.7: Population by age groups, nationality, residence and sex in Palestine, 2012
 | Nationals |  | Non-nationals |  | Urban |  | Rural |  | Total
Age group | Male | Female | Male | Female | Male | Female | Male | Female | Male | Female | Both sexes
0-4 | 321863 | 308665 |  |  |  |  |  |  | 321863 | 308665 | 630528
5-9 | 291094 | 279162 |  |  |  |  |  |  | 291094 | 279162 | 570256
10-14 | 273459 | 261880 |  |  |  |  |  |  | 273459 | 261880 | 535339
15-19 | 258317 | 247943 |  |  |  |  |  |  | 258317 | 247943 | 506260
20-24 | 221815 | 212944 |  |  |  |  |  |  | 221815 | 212944 | 434759
25-29 | 173155 | 165628 |  |  |  |  |  |  | 173155 | 165628 | 338783
30-34 | 140317 | 134687 |  |  |  |  |  |  | 140317 | 134687 | 275004
35-39 | 118641 | 115593 |  |  |  |  |  |  | 118641 | 115593 | 234234
40-44 | 100185 | 96741 |  |  |  |  |  |  | 100185 | 96741 | 196926
45-49 | 85419 | 79548 |  |  |  |  |  |  | 85419 | 79548 | 164967
50-54 | 66637 | 61832 |  |  |  |  |  |  | 66637 | 61832 | 128469
55-59 | 45429 | 43857 |  |  |  |  |  |  | 45429 | 43857 | 89286
60-64 | 30695 | 32440 |  |  |  |  |  |  | 30695 | 32440 | 63135
65-69 | 20726 | 25628 |  |  |  |  |  |  | 20726 | 25628 | 46354
70-74 | 13810 | 19342 |  |  |  |  |  |  | 13810 | 19342 | 33152
75-79 | 18824 | 27037 |  |  |  |  |  |  | 18824 | 27037 | 45861
Not stated | … | … | … | … | … | … | … | …
Total |  |  | … | … | … | … | … | …
Spreadsheet: 40957d1239364990-copy-cell-based-on-data-in-another-cell-scorekeeping
Sheet: RogueMedic

RogueMedic | Points | EK's | Deaths | TK | Assists | Shot/K | Purple H | Medic | Primary Weapon | 2nd Weapon | Extra Weapons | Drive | Fly | Boat | Parachuting | Extra Awards | Totals
2009-01-27 00:00:00
Airstrike | 60 | 10 |  |  |  | 3 |  |  |  |  |  |  |  |  |  |  | Points | With TK's
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1800 | 1800
Fields of Fire | 80 | 68 | 1 |  |  | 6 |  |  | M4/M203 | Javelin
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | EK's
Fields of Fire | 710 | 68 |  |  |  | 3 | 1 | 1 | M4/M203 | Javelin | AT4 |  |  |  |  |  | 341
2009-03-03 00:00:00
Bad Habit | 55 | 21 | 1 |  |  | 3 | 1 | 1 | PSG1SD | AT4 |  |  |  |  | 1 |  | TK's
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
Birds of Prey | 140 | 19 |  |  |  | 1 |  |  | PSG1SD | AT4
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Deaths
Chain Lightning | 165 | 30 |  |  |  | 2 |  | 1 | PSG1SD | AT4 |  |  |  |  |  |  | 3
Dust to Dust | 235 | 36 |  |  |  | 1 |  |  | M82 | AT4 |  |  |  |  |  |  | Assists
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
Exodus | 50 | 43 | 1 |  |  | 2 |  |  | PSG1SD | AT4
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Shots/Kill
Flood | 135 | 20 |  |  |  | 2 |  |  | PSG1SD | AT4 |  |  |  |  |  |  | 2.4
Frostbite | 170 | 26 |  |  |  | 1 |  |  | PSG1SD | AT4 |  |  |  |  | 1 |  | Purple H
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Medic
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Drive
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Fly
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Boat
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Parachuting
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2
Spreadsheet: 140889d1328926572-fancy-fat-loss-spreadsheet-2012-weigh-in-chart
Sheet: Patient List

[NAME], JR.,  [NAME]
BARR, [NAME]
BELLAMY, PAUL
BILINSKI, BRIDGET
BLANCHARD, MARYNN H.
BLANCHARD, VICTORIA
BLOORE, DAWN M
BOHM, [NAME]
BOLEN, [NAME]
BRAKE, SCOTT
BROKAW, [NAME]
BROWN, CAROLYN
BROWN, JEFFERY M
BROWN, LANCE
BROWN, [NAME]
BUFFUM, AUSTIN
BUFFUM, LESLEY
CAVES, [NAME]
CHAPMAN, MOLLY
CHAPMAN, [NAME]
CHENG, LISA
CONTI, [NAME] L
DALY-KLIPPER, TRISH
DARLING, ELLEN
DUPREE, AL
DUPREE, COLEEN R.
ERMER, [NAME]
FECHTIG, [NAME]
FECHTIG, [NAME]
FRANCISCO, [NAME] C
[NAME], WILLIAM
GALLADE, PAMELA
GARMS, [NAME]
GARMS, MARK
GHATE, DEBI
GILL, STEVEN
GLEESON, BRONWEN
GLEESON, [NAME]
GLEESON, KAREN E
GLEESON, [NAME] J
GOLDBERG, [NAME] R
GORDON, [NAME]
GORDON, LORNA
[NAME], [NAME]
GROFF, [NAME]
GROFF, [NAME]
GUSIKOSKI, GINA
GUTIERREZ, SEBASTIAN
HACKLEMAN, [NAME] (PAUL)
HAMOUI, OMAR
HEJNA, [NAME]
HERRING, MICHAELANN
[NAME], MARK
HUNGERFORD, [NAME]
KENSEL, BRENDON
KENSEL, JENNIFER
KEOWN, RILEY
KETCHAM, RICHARD
KIESEL, MARK
KINGAARD, [NAME]
KUBAS, ARDIS
KUNNEL, PATRICIA
LACY, LOIS
LAHODNY, LORNE
LANCE, RANDY
LANGWELL, SCOTT
LOPEZ, [NAME]
LUYMES, JAN L
MADDEN, HEATHER
MADDEN, [NAME]
MAYLE, [NAME] A
MCCLAIN, [NAME]
MEDLEY, JAIME
MEDLEY, TROY [NAME]
MEDLEY, TROY [NAME]
MERRILL, SCOTT
MICHAELS, [NAME]
MICHAELS, [NAME]
MORRISON, [NAME]
MORRISON, [NAME]
MURPHY, [NAME]
NELSON, NANCY
NELSON, [NAME]
OFFIELD, PAXSON
PALMER, RANDALL
PEDROZA, [NAME]
PERRIN, [NAME]
PHELPS, [NAME]
PONZILLO, [NAME]
RODGERS, ROD
ROUSH, [NAME]
RUNYON, LOWELL
RYDELL, [NAME]
SALOUS, OMAIMA
SALTA, GABRIEL FARAO
SCHIMMEL, ROSALBA
SEHREMELIS, ANDY
SKAIST, MARK
SLATTERY, GINA
SMITH, [NAME] D
SPEYER, [NAME]
[NAME], [NAME]
STUART, [NAME]
UEBERROTH, POLLY
WALTON, RICHARD
WEST, [NAME] S
WHALEN, [NAME]
WHALEN, JOCELYN I
WHEELER, VALJEAN
WIDDER, CLAY
WILMOT, DICK
WOLFE, TERRY
WOOD, [NAME]
YATES, [NAME]
ZIEGLER, GREGORY
ZINNGRABE, [NAME] J