tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: phillip_m_love__30154__9903_OA
Sheet: Check

ENRON CAPITAL & TRADE RESOURCES
OPERATIONAL ANALYSIS - COMPREHENSIVE VARIANCE INTEGRITY CHECK
COMPANY:  ALL
REGION: ALL
PRODUCTION MONTH: 9903
Regions | NGP&L | Actuals | [NAME] |  | All Reclass
Central
Northeast | 0
East- EGM
East-LRC
FT-South East
Texas-EGM
Texas-HPL
FT-South Texas
West
Storage
Ontario
FT-Ontario
Boston Gas
Total Per Indiv. Tabs
Per TOTAL Tab
Regions | Revised NGP&L | Actuals | [NAME]
Central
Northeast | 0
East
Texas
West
Storage
Ontario
Boston Gas
Total Per Indiv. Tabs
Per TOTAL Column
Regions | NGP&L | Actuals | [NAME]
Central
Northeast
Southeast- EGM
Southeast-LRC
Texas-EGM
Texas-HPL
West
Storage
Transport
BGC
Total Per Indiv. Tabs
Per TOTAL Tab
Regions | Revised NGP&L | Actuals | [NAME]
Central
Northeast
Southeast
Texas
West
Storage
Transport
BGC
Total Per Indiv. Tabs
Per TOTAL Column
Spreadsheet: 781218d1653063661-need-help-with-pulling-data-from-one-sheet-to-another-using-index-requiredtraining2022-test-1-aligw
Sheet: Dashboard

Select Supervisor Below | SupervisorList |  | Employee Name | Class1 | Class2 |  | Monday1End | Monday2End | Tuesday1End | Tuesday2End | Wednesday1End | Wednesday2End | Thursday1End | Thursday2End | [NAME] | Friday2End
Supervisor, [NAME] | Supervisor, [NAME]
 | Supervisor, [NAME]
Spreadsheet: 49207d1248448060-sumif-text-and-values-exampleexcel
Sheet: Sheet1

Sum | Account | Type
 | Account1 | 1
 | Account1 | 2
 | Account2 | 2
 | Account3 | 3
 | Account | Type | [NAME]
 | Account1 | 1 | 2
 | Account2 | 2 | 5
 | Account3 | 3 | 1
 | Account1 | 2 | 6
 | Account2 | 2 | 4
 | Account3 | 3 | 3
Spreadsheet: 751210d1633971143-sum-multiple-criteria-that-is-pasted-but-located-in-different-columns-balance-audit
Sheet: Sheet1

[NAME] |  |  |  |  |  |  |  |  | RP Export Audit
 | Day Reg: | 5214.9 | Day OT: | 377.7 | Nite Reg: | 4525.8
 | Nite OT: | 568.8 | DAY VAC: | 176 | NITE VAC: | 568
 | DAY SS: | 36 | DAY PD: | 30 | DAY D-F: | 26
 | DAY BD: | 28 | MED LV: | 0.36 | ACC-SCK: | 1.46
 | Wrk-Comp: | 1.08 | SH DVAC: | 58 | SH NVAC: | 78
 | CVV: | 2 | [NAME]: | 62 | SP NVAC: | 62
 | Vacation: | 1.26 | Excused: | 0.42 | Unexcuse: | 0.87
 | NITE SS: | 64 | NITE PD: | 26 | NITEJURY: | 8
 | NITE BD: | 26 | TOTAL: | 11935.2
Spreadsheet: 771698d1646799823-conditional-format-index-match-multiple-criteria-excel-problem
Sheet: Sheet1

 |  |  |  | Conditional formatting
 |  |  |  | Goal: Conditional format the cells in Table 1 so it automatiacally highlights if it meets the following conditions: 1. It is within the date range of Table 2 2. It is the name on Table 2
 |  |  |  | In below example: Table 1 -C13&E12 "Maria"should highlight H11 "Maria" should NOT highlight
 |  |  |  | In below example: Table 1- E10 "George"should highlight F11 "George" should NOT highlight
 |  |  |  | [NAME] should not highlight
 |  |  |  | 2022-04-01 00:00:00 | 2022-05-02 00:00:00 | 2022-04-03 00:00:00 | 2022-04-04 00:00:00 | 2022-04-05 00:00:00
 |  |  |  | Friday2 | Saturday2 | Sunday1 | Monday1 | Tuesday1
 |  |  |  | 1 | 2 | 3 | 4 | 5
 |  |  |  | 0 | Jessica | Jessica | Jessica
Table 1 |  |  |  | George
 |  |  |  |  | George
 |  |  |  |  |  |  | Maria
 |  |  |  | Maria |  |  | Simone | Simone
 |  |  |  |  |  | Maria
 |  |  |  | From | To | DOW | Employee
 |  |  |  | 2022-04-01 00:00:00 | 2022-04-03 00:00:00 |  | Maria
Table 2 |  |  |  | 2022-04-01 00:00:00 |  |  | George
 |  |  |  | 2022-05-01 00:00:00 | 2022-05-10 00:00:00 |  | Jessica
Spreadsheet: 112013d1308214355-if-formula-to-work-out-actual-time-cost-seo-work-log-and-price-list
Sheet: Price List 

Column1 | Package | Est Completion Time | Cost
[NAME] | 200 Back Links | 5 mins | 50
 | Free One Page SEO Knowledge | 2 mins
 | SEO Report on your Website | 15 mins
 | Online Stats Report | 1 min
Silver | 400 back links | 5 mins | 100
 | Free One Page SEO Knowledge | 2 mins
 | SEO Report on your Website | 15 mins
 | Online Stats Report | 1 min
 | 1 x traffic building and .co.uk domain | 10 mins
Gold | 600 Back Links | 5 mins | 100
 | Free One Page SEO Knowledge | 2 mins
 | SEO Report on your website | 15 mins
 | Online Stats Report | 1 min
 | 2 x Traffic Builder and co.uk domain | 15 mins
 | 1 x text link advert for one year | 5 mins
Bespoke Services | 1000 Back Links | 5 mins | 30
 | Free One Page SEO Knowledge | 2 mins | 10
 | Online Stats Report | 1 min | 10
 | 1 x traffic building and .co.uk domain | 10 mins | 44.99
 | 1 x text link advert for one year | 5 mins | 120
 | Keyword Research | 20 mins | 24
 | Title Tag Optimization | 20 mins | 24
 | Robots.txt Optimization | 5 mins | 6
 | Working on HTML Source Code | 2 hours | 144
 | Image and HyperLink Optimization | 30 mins | 36
 | Header Tag Optimization | 1 hour | 72
 | Local Search Engine Submission | 2 hours | 144
 | Content Optimization | 2 hours | 144
 | [NAME] | 1 hour | 72
 | Local Search Website Optimization | 30 mins | 36
 | Updating Pages for Local Search | 1 hour | 72
 | Article Writing | 1 hour | 72
 | Press Release Writing | 15 mins | 250
 | Setting Up Twitter | 15 mins | 50
 | Setting Up Facebook | 30 Mins | 75
 | Setting Up MySpace | 30 mins | 75
 | Setting up Ecademy | 30 mins | 75
 | Setting up Linked In | 30 mins | 75
 | Social Bookmarking | 2 hours | 144
 | Blog Submission | 1 hour | 72
 | Press Release Submission | 1 hour | 72
 | Article Submission | 1 hour | 72
 | PowerPoint Prsentation Submission | 2 hours | 144
 | Video Submission | 1 hour | 72
 | Photo Sharing | 1 hour | 72
 | Manual Link Requests to Related Sites | 3 hours | 216
 | [NAME] | 2 hours | 144
 | Google,Yahoo & MSN Sitemap.XML Creation | 30 mins | 36
 | Google Analytics (Statistics) | 30 mins | 36
SEO Report Packages | Bronze SEO Report (Monthly) | 15 mins | 100
 | Silver SEO Report (Monthly) | 15 mins | 400
 | Gold | 15 mins | 700
Spreadsheet: 386243d1427708146-index-and-match-formula-not-function-testing-5
Sheet: Report B

Company | [NAME] | [NAME] | GL | Amount | Recon with Report A
A | 1900 |  | GLA | 100
A | 190010 |  | GLA | 100
A | 1900101 |  | GLA | 100
B |  | 792913 | GLA | 100
B |  | 795340 | GLA | 100
B |  | 795340 | GLB | 100
B |  | 795343 | GLB | 100
B |  | 795343 | GLB | 100
B |  | 795343 | GLB | 100
B |  | 795343 | GLB | 100
B |  | 795343 | GLB | 100
Spreadsheet: 50356841-fd15-4e61-b8e9-d50a396925ba
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
COCOU | Test | COCOU | Cortisol/Cortisone, Free, [NAME] | Cortisol/Cortisone, Free, U | Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS) | Plastic, urine tube: PlUrTb |  |  | 5 | mL | Container/Tube: Plastic, 10-mL urine tube (Supply T068) [NAME]: 5 mL Collection Instructions: 1. Collect urine for 24 hours. 2. Add 10 g of boric acid as preservative at start of collection. Additional Information: 1. 24-Hour volume is required. 2. See [NAME] in Special Instructions for multiple collections.   Urine Preservative Collection Options Ambient	No Refrigerated	Yes Frozen	Yes 6N HCl	No 50% Acetic Acid	Yes Na2CO3	Yes Toluene	Yes 6N HNO3	No Boric Acid	Preferred Thymol	Yes | 3 mL | Hemolysis	NA Thawing	Warm OK if preservative added; Cold OK Lipemia	NA Icterus	NA Other	NA | CORTISOL 0-2 years: not established 3-8 years: 1.4-20 mcg/24 hours 9-12 years: 2.6-37 mcg/24 hours 13-17 years: 4.0-56 mcg/24 hours > or =18 years: 3.5-45 mcg/24 hours   CORTISONE 0-2 years: not established 3-8 years: 5.5-41 mcg/24 hours 9-12 years: 9.9-73 mcg/24 hours 13-17 years: 15-108 mcg/24 hours > or =18 years: 17-129 mcg/24 hours   Use the factors below to convert each analyte from mcg/24 hours to nmol/24 hours:   Conversion factors [NAME]: mcg/24 hours x 2.76=nmol/24 hours (molecular weight=362.5) Cortisone: mcg/24 hours x 2.78=nmol/24 hours (molecular weight=360) | Monday through Saturday: 1 p.m. | 2 days (not reported on Sundays) | 5 days |  | Profile |  |  |  |  | Rochester
COCOU | [NAME] | URINE | [NAME] |  |  |  | Refrigerated | 7 days
COCOU | Order Question | TM93 | Collection Duration |  | Plain Text
COCOU | Order Question | VL47 | [NAME] |  | Plain Text
COCOU | Result | 8546 | Cortisol, U | Cortisol, U | Numeric |  |  |  |  | mcg/24 h |  |  |  |  |  |  |  |  |  | 14158-0 | Cortisol:MRat:24H:[NAME]:Qn:
COCOU | Result | 10327 | Cortisone, U | Cortisone, U | Numeric |  |  |  |  | mcg/24 h |  |  |  |  |  |  |  |  |  | 14044-2 | Cortisone:MRat:24H:[NAME]:Qn:
COCOU | Result | TM93 | Collection Duration | Collection Duration | Alphanumeric |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13362-9 | Collection duration:Time:*:Urine:Qn:
COCOU | Result | VL47 | [NAME] | [NAME] | Alphanumeric |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19153-6 | [NAME] volume:Vol:XXX:[NAME]:Qn:
COCOU | Billing Component | COCOU |  | Quantitative, each spec |  |  |  |  |  |  |  |  |  |  |  |  |  | 1 | 83789
COCOU | Billing Component | COCOU |  | Cortisol free |  |  |  |  |  |  |  |  |  |  |  |  |  | 1 | 82530
Spreadsheet: 118051d1313411229-extracting-data-from-multiple-sheets-in-to-one-example-packing-list
Sheet: 1022

 | CLOTHING PACKING LIST
 | I EUROPE LTD
 | CUSTOMER NAME: |  |  | [NAME]
 | ADDRESS
 | ORDER NO. |  |  | UCLAW11 - 1022
 | INVOICE NO
 | AGENT NAME |  |  | [NAME]
 | REPEAT CONF. |  |  | 2011-07-15 00:00:00
 | CUST.PO
 | NO. OF CARTON |  |  | 1
 | STYLE | NO | CRTN NO | COLOUR | XS | S | M | L | XL | XXL | TOTAL | BX TOTAL
 | UCLG | RAYS-701 | 13265 | Peacoat | 0 | 2 | 4 | 3 | 2 | 0 | 11 | 11
 |  |  |  |  |  |  |  |  |  |  |  | 11
Spreadsheet: 101828d1299863525-index-match-formulas-copy-of-index-match-example
Sheet: DATA LIST

Year 1
 | item A | item B | Item C | Item D | Item E | TOTAL
Client 1 | 1 | 4 | 65 | 3 | 8
Client 2 | 2 | 1 | 2 | 1 | 8
Client 3 | 5 | 2 | 4 | 6 | 6
Client 4 | 3 | 3 | 6 | 2 | 5
Client 5 | 7 | 5 | 22 | 11 | 4
Client 6 | 8 | 8 | 2 | 6 | 55
Client 7 | 9 | 9 | 4 | 6 | 3
Client 8 | 5 | 9 | 2 | 4 | 4
year 2
 | item A | item B | Item C | Item D | Item E | TOTAL
Client 1 | 5 | 4 | 65 | 6 | 8
Client 2 | 8 | 1 | 2 | 1 | 8
Client 3 | 7 | 2 | 4 | 6 | 6
Client 4 | 3 | 3 | 6 | 5 | 5
Client 5 | 7 | 96 | 22 | 9 | 8
Client 6 | 8 | 0 | 44 | 6 | 0
Client 7 | 9 | 9 | 4 | 6 | 3
Client 8 | 5 | 63 | 2 | 4 | 4
Year 3
 | item A | item B | Item C | Item D | Item E | TOTAL
Client 1 | 10 | 4 | 65 | 6 | 8
Client 2 | 0 | 1 | 2 | 4 | 9
Client 3 | 69 | 2 | 4 | 6 | 6
Client 4 | 3 | 3 | 52 | 5 | 6
Client 5 | 7 | 96 | 22 | 9 | 11
Client 6 | 3 | 0 | 23 | 6 | 1
Client 7 | 9 | 9 | 66 | 6 | 4
Client 8 | 5 | 63 | 2 | 4 | 4
Spreadsheet: kate_symes__18133__EOL 2-1
Sheet: EOL Deals

EOL Deals | From: 2/1/2001   To: 2/1/2001 |  |  | EnPower Deals | From: 2/1/2001   To: 2/1/2001
Desk | Total MWH | Total Deals |  | Desk | Total MWH | Total Deals
EPMI Long Term California | 43200 | 4 |  | EPMI Long Term California | 502000 | 4
EPMI Long Term Northwest | 10800 | 1 |  | EPMI Long Term Northwest | 1080250 | 15
EPMI Long Term Southwest | 123200 | 4 |  | EPMI Long Term Southwest | 399200 | 4
EPMI Short Term California | 25000 | 16 |  | EPMI Short Term California | 44000 | 16
EPMI Short Term Northwest | 7600 | 13 |  | EPMI Short Term Northwest | 27640 | 8
EPMI Short Term Southwest | 100800 | 30 |  | EPMI Short Term Southwest | 153200 | 24
Grand Total | 310600 | 68 |  | Grand Total | 2206290 | 71
Spreadsheet: 56088d1256217809-finding-names-within-a-list-copy-of-copy-of-job-qualification-tool-10-2009
Sheet: Data

Employee ID | Site Number |  | Missing Requirements
1 | 2 |  | Passport
Employee Name | Site Name
Silcox, Rachel | Tampa
Employee Qualifications | Site Requirements:
TWIC Card | TWIC Card | 1
OSHA Training | OSHA Training | 1
 | Passport | 0
Spreadsheet: 876153d1722846756-need-formula-for-tier-incentive-calculation-calculation-doing-formula-etaf
Sheet: Samantha Gerdy 

Contract Terms (*)
 |  | Description | Commission
 |  | 50% of the Gross Revenue, after deducting direct cost consumables and 5% Admin fees | 0.5
Doctor Calculation
 |  | Total Revenue | 0
 |  | Less Consumables | 0
 |  | Less Admin Fees 5%
 |  | Amount to be Paid
 |  | Less Salary | 4000 | Payroll March
 |  | Total Amount to be Paid
Prepared By …................. |  |  |  | CFO: | .......................
Spreadsheet: 26d72f83-117a-49c3-a4e8-55d654c78321
Sheet: Sheet1

Battle ID | Date & Time | Side | Victory | Score | Opp. Score | Opp. ID | Opp. Name | Scenario ID | Front | Start Date | End Date | Name EN | Name FR
44069935 | 2014-11-17 22:30:49 | AXIS | 1 | 6 | 3 | 1024653 | [NAME] | 12509 | western | 1944-06-06 |  | [Normandy] Vaumicel Manor | Château de Vaumicel
44070238 | 2014-11-17 23:04:47 | ALLIES | 0 | 4 | 6 | 1024653 | [NAME] | 12509 | western | 1944-06-06 |  | [Normandy] Vaumicel Manor | Château de Vaumicel
Spreadsheet: 262170d1378012889-choosing-one-of-the-duplicate-customer-info-testworkbook_unsort_-ijulian-_
Sheet: Report

Date From | 2013-01-01 00:00:00
Date To | 2013-08-27 00:00:00
Agent | PENDING | CANCEL | GOOD | Total
[NAME]
VIOLETTA
SHARON
MARILYN
STEVE
RUBEN
WILLIAM
VERONICA
Total
Spreadsheet: 06eaadfe-640d-45a6-b956-968da352fade
Sheet: JVS Data

 |  |  |  | Special Education Students Categories 1-6 |  |  |  |  |  | Career Tech FTE Categories 1-5 |  |  |  |  |  | LEP ADM Categories 1-3
JVS IRN | County | JVS District Name | Total Formual ADM | Special Ed Cat.1 | Special Ed Cat.2 | Special Ed Cat.3 | Special Ed Cat.4 | Special Ed Cat.5 | Special Ed Cat.6 | C-Tech Student Cat.1 | C-Tech Student Cat.2 | C-Tech Student Cat.3 | C-Tech Student Cat.4 | C-Tech Student Cat.5 | C-Tech Total Student | LEP Student Cat.1 | LEP Student Cat.2 | LEP Student Cat.3 | Economic Disadvantaged ADM | Total JVS Formula ADM
50773 | [NAME] | APOLLO JVSD
50799 | [NAME] | SOUTHERN HILLS JVSD
50815 | Ashtabula | A-TECH JVSD
50856 | Belmont | BELMONT-HARRISON JVSD
50880 | Butler | BUTLER TECH JVSD
50906 | [NAME] | [NAME] JVSD
50922 | Cuyahoga | CUYAHOGA VALLEY JVSD
50948 | Cuyahoga | POLARIS JVSD
50963 | [NAME] | FOUR COUNTY JVSD
50989 | Delaware | DELAWARE AREA CAREER CENTER JV
51003 | Franklin | EASTLAND-FAIRFIELD CAREER/TECH
51029 | Erie | EHOVE JVSD
51045 | Greene | GREENE COUNTY JT VOC SD JVSD
51060 | [NAME] | GREAT OAKS INST OF TECHNOLOGY
51128 | [NAME] | JEFFERSON COUNTY JVSD
51144 | Knox | KNOX COUNTY JVSD
51169 | Lake | AUBURN JVSD
51185 | [NAME] | [NAME] JVSD
51201 | Licking | C-TEC JVSD
51227 | Lorain | LORAIN COUNTY JVS JVSD
51243 | Mahoning | MAHONING CO CAREER & TECH CTR
51284 | Montgomery | MIAMI VALLEY CAREER TECH JVSD
51300 | Muskingum | MID-EAST CAREER & TECH CENTERS
51334 | Logan | OHIO HI-POINT JVSD
51359 | Wood | PENTA JVSD
51375 | Pike | PIKE COUNTY AREA JVSD
51391 | Portage | MAPLEWOOD CAREER CENTER JVSD
51417 | Richland | PIONEER CAREER & TECHNOLOGY JV
51433 | [NAME] | PICKAWAY-ROSS JVSD JVSD
51458 | Sandusky | VANGUARD-SENTINEL JVSD
51474 | [NAME] | WARREN COUNTY JVSD
51490 | Scioto | SCIOTO COUNTY CTC JVSD
51532 | [NAME] | SPRINGFIELD-CLARK COUNTY JVSD
51607 | Athens | TRI-COUNTY CAREER CENTER JVSD
51631 | Trumbull | TRUMBULL CAREER & TECH CTR JVS
51656 | Tuscarawas | [NAME] JVSD
51672 | Van Wert | VANTAGE JVSD
51698 | Washington | WASHINGTON COUNTY JVSD
51714 | Wayne | WAYNE COUNTY JVSD JVSD
62026 | [NAME] | STARK COUNTY AREA JVSD
62042 | Ashland | ASHLAND COUNTY-WEST HOLMES JVS
62067 | Gallia | GALLIA-JACKSON-VINTON JVSD
62109 | Medina | MEDINA COUNTY JVSD JVSD
62125 | Miami | UPPER VALLEY CAREER CENTER JVS
62802 | Clermont | U S GRANT JVSD
63495 | Summit | PORTAGE LAKES JVSD
63511 | [NAME] | TOLLES JVSD
65227 | Coshocton | COSHOCTON COUNTY JVSD
65268 | Marion | TRI-RIVERS JVSD
50765 | * * * | State of Ohio
 |  |  | 38078.41000000001 | 37.82000000000001 | 7527.740000000002 | 486.2 | 43.18 | 312.08 | 405.81 | 9977.969999999996 | 6264.180000000002 | 1917 | 10120.79 | 1684.71 | 0 | 0 | 52.75 | 3 | 13228.03 | 38078.41000000001
 |  | Test
Spreadsheet: 838085d1690703479-change-sheet-refernce-incrementally-in-adjacent-cells-2023-league-standings-sample-hd
Sheet: W5

Team # | Team Name | Players | Ave | Hcap | Game 1 Scratch | Game 1 Handicap | Points | Game 2 Scratch | Game 2 Handicap | Points | Game 3 Scratch | Game 3 Handicap | Points | Scratch Series | Handicap Series | Series Points | Indiv Points
 |  |  |  |  | (For a Blind Score type   -  B      For and Vacancy Score type    -    V
 |  |  |  |  | 1 |  |  | 55 |  |  | 109
 |  |  |  |  | 2 |  |  | 56 |  |  | 110
 |  |  |  |  | 3 |  |  | 57 |  |  | 111
 |  |  |  |  | 4 |  |  | 58 |  |  | 112
 |  |  |  |  | 5 |  |  | 59 |  |  | 113
 |  |  |  |  | 6 |  |  | 60 |  |  | 114
 |  |  |  |  | 7 |  |  | 61 |  |  | 115
 |  |  |  |  | 8 |  |  | 62 |  |  | 116
 |  |  |  |  | 9 |  |  | 63 |  |  | 117
 |  |  |  |  | 10 |  |  | 64 |  |  | 118
 |  |  |  |  | 11 |  |  | 65 |  |  | 119
 |  |  |  |  | 12 |  |  | 66 |  |  | 120
 |  |  |  |  | 13 |  |  | 67 |  |  | 121
 |  |  |  |  | 14 |  |  | 68 |  |  | 122
 |  |  |  |  | 15 |  |  | 69 |  |  | 123
 |  |  |  |  | 16 |  |  | 70 |  |  | 124
 |  |  |  |  | 17 |  |  | 71 |  |  | 125
 |  |  |  |  | 18 |  |  | 72 |  |  | 126
 |  |  |  |  | 19 |  |  | 73 |  |  | 127
 |  |  |  |  | 20 |  |  | 74 |  |  | 128
 |  |  |  |  | 21 |  |  | 75 |  |  | 129
 |  |  |  |  | 22 |  |  | 76 |  |  | 130
 |  |  |  |  | 23 |  |  | 77 |  |  | 131
 |  |  |  |  | 24 |  |  | 78 |  |  | 132
 |  |  |  |  | 25 |  |  | 79 |  |  | 133
 |  |  |  |  | 26 |  |  | 80 |  |  | 134
 |  |  |  |  | 27 |  |  | 81 |  |  | 135
 |  |  |  |  | 28 |  |  | 82 |  |  | 136
 |  |  |  |  | 29 |  |  | 83 |  |  | 137
 |  |  |  |  | 30 |  |  | 84 |  |  | 138
 |  |  |  |  | 31 |  |  | 85 |  |  | 139
 |  |  |  |  | 32 |  |  | 86 |  |  | 140
 |  |  |  |  | 33 |  |  | 87 |  |  | 141
 |  |  |  |  | 34 |  |  | 88 |  |  | 142
 |  |  |  |  | 35 |  |  | 89 |  |  | 143
 |  |  |  |  | 36 |  |  | 90 |  |  | 144
 |  |  |  |  | 37 |  |  | 91 |  |  | 145
 |  |  |  |  | 38 |  |  | 92 |  |  | 146
 |  |  |  |  | 39 |  |  | 93 |  |  | 147
 |  |  |  |  | 40 |  |  | 94 |  |  | 148
 |  |  |  |  | 41 |  |  | 95 |  |  | 149
 |  |  |  |  | 42 |  |  | 96 |  |  | 150
 |  |  |  |  | 43 |  |  | 97 |  |  | 151
 |  |  |  |  | 44 |  |  | 98 |  |  | 152
 |  |  |  |  | 45 |  |  | 99 |  |  | 153
 |  |  |  |  | 46 |  |  | 100 |  |  | 154
 |  |  |  |  | 47 |  |  | 101 |  |  | 155
 |  |  |  |  | 48 |  |  | 102 |  |  | 156
 |  |  |  |  | 49 |  |  | 103 |  |  | 157
 |  |  |  |  | 50 |  |  | 104 |  |  | 158
 |  |  |  |  | 51 |  |  | 105 |  |  | 159
 |  |  |  |  | 52 |  |  | 106 |  |  | 160
 |  |  |  |  | 53 |  |  | 107 |  |  | 161
 |  |  |  |  | 54 |  |  | 108 |  |  | 162
Spreadsheet: 727362d1617867536-merging-tables-to-calendar-running-title-diagnosis-and-resolution-tables
Sheet: Diagnosis and Resolution

Running Title
Diagnosis | Patient | PCM | Boss | Mental Health | Diagnosis | Resolved 1st Appt | 2nd Appt | 3rd Appt | 4th Appt | 5th Appt | 6th Appt | Mental Health | ER | Unresolved
[NAME] |  |  |  |  | [NAME]
ED |  |  |  |  | ED
Sleep |  |  |  |  | Sleep
Weight |  |  |  |  | Weight
Pain |  |  |  |  | Pain
Depression |  |  |  |  | Depression
Anxiety |  |  |  |  | Anxiety
Work Stress |  |  |  |  | Work Stress
Personal Stress |  |  |  |  | Personal Stress
Attention |  |  |  |  | Attention
Relationship Work |  |  |  |  | Relationship Work
Relationship Family |  |  |  |  | Relationship Family
Relationship Personal |  |  |  |  | Relationship Personal
Self Esteem |  |  |  |  | Self Esteem
Suicidal Ideations |  |  |  |  | Suicidal Ideations
Substance Abuse Alcohol |  |  |  |  | Substance Abuse Alcohol
Substance Abuse Recreational |  |  |  |  | Substance Abuse Recreational
Substance Abuse Medication |  |  |  |  | Substance Abuse Medication
Spreadsheet: 7132c2f2-df39-4090-80e1-748ccf61c6e2
Sheet: 1.3 Labour force

1.3 Labour force
Month | 2010–11 | 2011–12 | 2012–13 | 2013–14 | 2014-15
Labour force (a) – '000
July | 11623.6061155 | 11817.6710846 | 11978.3018413 | 12163.8144632 | 12328.6746137
August | 11655.2963334 | 11836.3544231 | 11991.083887 | 12167.1906233 | 12340.1989938
September | 11686.6082216 | 11851.8181045 | 12006.2008204 | 12170.3746621 | 12350.4175739
October | 11714.4733906 | 11862.830378 | 12024.0627835 | 12176.5575183
November | 11736.7665982 | 11869.5896871 | 12044.0709889 | 12188.6491069
December | 11752.4870349 | 11877.051349 | 12065.7164628 | 12205.9967051
January | 11762.3536514 | 11888.479816 | 12086.9076143 | 12226.8486055
February | 11767.1342826 | 11904.4560362 | 12107.3590393 | 12247.9349115
March | 11769.8986743 | 11921.9059008 | 12125.9230443 | 12268.1320414
April | 11775.2570288 | 11938.4982553 | 12141.2449674 | 12286.1401944
May | 11785.1595373 | 11953.3134619 | 12151.3852214 | 12301.7407848
June | 11799.9783711 | 11966.3859961 | 12158.4433247 | 12315.4528303
Annual average | 11735.75160330833 | 11890.69620771667 | 12073.391666275 | 12226.56937056667
Participation rate (a) – per cent
July | 65.3213177 | 65.3963613 | 65.1294852 | 64.9534206 | 64.6538387
August | 65.4255603 | 65.4143097 | 65.1062233 | 64.8776073 | 64.6326861
September | 65.5258478 | 65.4120963 | 65.0934833 | 64.7982824 | 64.6206528
October | 65.6037815 | 65.3817058 | 65.0934418 | 64.7326416
November | 65.6463951 | 65.3231499 | 65.1027566 | 64.6972268
December | 65.64739 | 65.2632914 | 65.1184619 | 64.6896069
January | 65.6118541 | 65.2215109 | 65.1295641 | 64.7009619
February | 65.5464355 | 65.2037725 | 65.1357659 | 64.7138409
March | 65.4710033 | 65.1964602 | 65.1327203 | 64.7219244
April | 65.4129919 | 65.1888291 | 65.1149854 | 64.7179171
May | 65.3832353 | 65.1758119 | 65.0729593 | 64.7010227
June | 65.3820751 | 65.1557602 | 65.0172708 | 64.6760226
Annual average | 65.49815729999999 | 65.27775493333334 | 65.10392649166666 | 64.74837293333333
(a) Monthly figures are trend. Annual figures are from the original series.
 |  |  |  |  |  |  |  | Update
Source: ABS, Labour force, Cat. no. 6202.0 |  |  |  |  |  |  |  | 2014-12-11 00:00:00
Spreadsheet: 08f8befe-b461-4c72-ae2f-0b8b1822212e
Sheet: T32

الجدول 32: تقديرات السكان حسب فئات العمر والمواطنون/غير مواطنين وحضر/ريف والجنس  في فلسطين، 2010
Table 32: Population etimates by age groups, nationals/non-nationals, urban/rural and sex in Palestine,  2010
 | Nationals | المواطنون | Non- Nationals | [NAME] | Urban | حضر | Rural | ريف | Total | المجموع | المجموع
[NAME] | رجال | نساء | رجال | نساء | رجال | نساء | رجال | نساء | رجال | نساء | [NAME]
Age group | Men | Women | Men | Women | Men | Women | Men | Women | Men | Women | Both sexes
0-4 | ... | ... | ... | ... | ... | ... | ... | ... | 304062 | 292354 | 596416
5-9 | ... | ... | ... | ... | ... | ... | ... | ... | 280614 | 268488 | 549102
10-14 | ... | ... | ... | ... | ... | ... | ... | ... | 269032 | 257822 | 526854
15-19 | ... | ... | ... | ... | ... | ... | ... | ... | 247406 | 237428 | 484834
20-24 | ... | ... | ... | ... | ... | ... | ... | ... | 202720 | 194293 | 397013
25-29 | ... | ... | ... | ... | ... | ... | ... | ... | 157073 | 150079 | 307152
30-34 | ... | ... | ... | ... | ... | ... | ... | ... | 132151 | 127485 | 259636
35-39 | ... | ... | ... | ... | ... | ... | ... | ... | 110911 | 108283 | 219194
40-44 | ... | ... | ... | ... | ... | ... | ... | ... | 94531 | 89962 | 184493
45-49 | ... | ... | ... | ... | ... | ... | ... | ... | 79611 | 73290 | 152901
50-54 | ... | ... | ... | ... | ... | ... | ... | ... | 58769 | 55054 | 113823
55-59 | ... | ... | ... | ... | ... | ... | ... | ... | 39356 | 38744 | 78100
60-64 | ... | ... | ... | ... | ... | ... | ... | ... | 27713 | 30547 | 58260
65-69 | ... | ... | ... | ... | ... | ... | ... | ... | 18626 | 24221 | 42847
70-74 | ... | ... | ... | ... | ... | ... | ... | ... | 13235 | 18460 | 31695
75+ | ... | ... | ... | ... | ... | ... | ... | ... | 19401 | 26682 | 46083
المجموع Total | ... | ... | ... | ... | ... | ... | ... | ... | 2055211 | 1993192 | 4048403
Spreadsheet: ea61af37-9669-4a0b-b884-d1c0f312c436
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | SWIM | T1 | BIKE | T2 | RUN | POSITION | TOTAL TIME
8279 | 60562 | [NAME] | Roozendaal | NED | 0 | 00:45:39 | 00:03:58 | 03:28:54 | 00:03:44 | [NAME] | 1 | 06:39:57
8279 | 60563 | Ursula | Börner | GER | 0 | 00:53:54 | 00:04:41 | 03:45:57 | 00:03:13 | 02:39:57 | 2 | 07:27:41