tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 59ffcd3d-9b76-487a-ac8d-9282a7a76def
Sheet: Sheet1

THE UNIVERSITY OF TULSA | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4
COLLEGE OF ARTS AND SCIENCES | Name_____________________________ | ID#______________________
Area of Concentration Requirements | BA Psychology
 |  | HR | GR | SM
1.        You must have a minimum GPA of 2.2 | FOUNDATIONS (12 Hours)
in your area of concentration and a minimum of | *Psy 2023  Stat for Behavioral Sci | _____ | _____ | _____
2.0 TU GPA in order to graduate. | Psy 2253  Foundations of Psy | _____ | _____ | _____
 | Psy 3013  Research Methods | _____ | _____ | _____
2.        No Pass/D/F or CLEP credit may be | *Psy 3023  Assess of Indiv Diff | _____ | _____ | _____
applied toward your Area of Concentration.
 | CORE COURSES (12 Hours, choose 4) | _____ | _____ | _____
3.    Courses applied to meet Core and General | Psy  3033  Abnormal Psychology | _____ | _____ | _____
Curriculum requirements may not also apply in | Psy 3053 Social Psychology | _____ | _____ | _____
your Area of Concentration. | Psy 3063  Developmental Psy | _____ | _____ | _____
 | Psy 4003  Psych of Personality | _____ | _____ | _____
4.   Two thirds of the course work in your | Psy 4013  History of Psychology | _____ | _____ | _____
Major [NAME] must be at the 3000 or 4000 level. | Psy 4033 Cognitive Psychology | _____ | _____ | _____
 | Psy 4083  Biol Found of Behavior | _____ | _____ | _____
5.     Subjects in your Minor Field must be
selected in conjunction with your [NAME] | ELECTIVE COURSES (12 Hours, choose 4)
 | Psy 2053  Psychology of Work | _____ | _____ | _____
6.  No more than 55 hours may be earned in the | Psy 2083  Psychology of Trauma | _____ | _____ | _____
Area of Concentration, and no more than 39 of | Psy  2263 Sports Psychology | _____ | _____ | _____
these may be earned in the major subject. | Psy 3073  I/O Psychology | _____ | _____ | _____
These totals may be exceeded only by the | Psy 3083  Clin Psy & Beh Change | _____ | _____ | _____
number of hours beyond the 124 required for | *Psy 3873  Sem in Psy Theory | _____ | _____ | _____
graduation. | Psy 4023 Psychology of Women | _____ | _____ | _____
 | Psy 4043  Aging and Society | _____ | _____ | _____
 | Psy 4063  Multicultural Comm Psy | _____ | _____ | _____
 | Psy 4093  Child and Fam Spec Needs | _____ | _____ | _____
 | Psy 4123  Personnel Psychology | _____ | _____ | _____
 | Psy 4163  Psy & Social Change | _____ | _____ | _____
 | Psy 4183  Topics in Personality | _____ | _____ | _____
 | Psy 4771  Clinical Psy Practicum | _____ | _____ | _____
 | (MUST BE ENROLLED IN PSY 3033)
 | Psy 4871-3  Community Psy Practicum | _____ | _____ | _____
 | * Psy 2023 is a prerequisite for Psy 3023 & Psy 3873.
 | Minor - 12 hours with 6 hours 3000-4000 level.
 | ___________________________________ | _____ | _____ | _____
 | ___________________________________ | _____ | _____ | _____
 | ___________________________________ | _____ | _____ | _____
 | ___________________________________ | _____ | _____ | _____
Spreadsheet: 583227d1532331569-dependent-drop-down-or-vlook-ups-to-be-used-for-multiples-data-interconnected-rough-page-1
Sheet: RATE PER SQ FT

INITIAL LIST | BRAND LOGO NEON FOR TERRACE |  | URINAL POTS |  | LAPTOP |  | FAKE NOTE DETECTOR MACHINE |  | Q MANAGERS |  | UPS 05KVA
BRAND LOGO NEON FOR TERRACE | KALARTHI ADVERTISING | 392.5 | R K ENTP | 2500 | MAHAVIR ELECTRONICS LTD | 30000 | INFRES METHODEX SYSTEM | 2200 | VISION DISPLAY PVT LTD | 2800 | SERVOKON SYSTEMS PVT LTD | 12000
URINAL POTS | FUNCTION NEON | 393.5 | BLUESTAR POLYMERS |  | AEVA INFOSOLUTION LTD |  | SHINE INTERNATIONAL |  | ARHAM TRADER |  | OFFCON SYSTEMS PVT LTD
LAPTOP | BRILLIANT NEON | 394.5 | THE BATH STUDIO LLP |  | ALPHA SHOPE |  | IKON ELECTRONICS |  | ZAF ENTP |  | UNITECH POWER SOLUTIONS
FAKE NOTE DETECTOR MACHINE | SIGMA ENTP | 395.5 | BATH & CRAFTS |  | SHYAM INFO SOLUTIONS |  | KNIGHT SUN IMPEX PVT LTD |  | SMARTECH SAFETY SOLUTION |  | SOCOMEC INNOVATIVE
Q MANAGERS | AKSHAR NEON SIGN | 396.5 | WEST COAST ENTP |  | EMERGING TECHNO KART |  | [NAME] |  | ANMOL SALES CORP |  | QUANTAM POWER
UPS 05 KVA | ADGLO NEON SIGN | 397.5 | NATURE CARE SOLUTIONS |  | HINDUSTAN BUSINESS TECHNOLOGIES |  | SU-TAX AUTOMATION |  | EURONICS IND LTD |  | ARZOO ENERGY
 | R F SIGNAGES | 398.5 | IMPEX SANITATION |  | CLODTECH COMPUTERS |  | ORBIT ELECTRONICS |  | SCOPE INDUSTRIAL PRODUCTS |  | TIRUPATHI AGENCIES
 | [NAME] | 399.5 | JAI SABHAV IND |  | ALICE COMPUTERS |  | SHREE SWAMI SAMARTH ENTP |  | SIGNTRADE |  | SARVOSTAR INDIA PVT LTD
 | ELITE SIGNS | 400.5 | [NAME] |  | PRATHAM INFOTECH |  | [NAME] |  | NEW KANWAL ENGG WORKS |  | SAIKRIPA SALES
 | PAYAL NEON SIGNS | 401.5 | RUSHABH ENTP |  | Z-TECH SOLUTIONS |  | SYSTEMATIKS |  | ORCHIDS ENTP |  | BVM TECHNOLOGIES PVT LTD
 | MIHIR NEON SIGNS | 402.5 | DIVYANI ENTP |  | NIKHIL COMPUTERS |  | PRIYA ELECTRICALS |  | ORIENTAL ENTP |  | V TECH POWER SYSTEMS
 | [NAME] | 403.5 | SENSOWARE PVT LTD |  | GOMAX NETWORKS |  | KRONE ENTP |  | CHARU ENTP |  | POWER ONE MICRO SYSTEMS
 | BRIGHT NEON | 404.5 | SHIVLAXMI ENTP |  | SHREE COMPUTERS |  | GANAK DIGITECH |  | J.D ENG WORKS |  | SB POWER CONVERSION
 | NIKI SIGNAGES | 405.5 | CHAKRA CERAMICS |  | SVS TECHNOLOGIES |  | MAYANK IMPACT |  | H2 SAFTEY PVT LTD |  | R.D ELECTRIC WORKS
 | SAIFEE SIGNS | 406.5
 | GLOW SIGN | 407.5
 | PARTH NEON SIGN | 408.5
 | BASIC SIGN | 409.5
 | DIGITAL SIGNAGE | 410.5
 | S ART | 411.5
 | TAPAS SIGNAGE | 412.5
 | TULSI NEON SIGN | 413.5
 | SIGNAGE WORK SOLUTION | 414.5
 | PEARL SIGN BOARD | 415.5
 | [NAME] SIGNS | 416.5
 | ABSOLUTE NEON SIGNS | 417.5
Spreadsheet: 823740d1680117763-vlookup-issue-cc-data-test
Sheet: Raw Data

Account | User | Authorized Date | Posted Date | Description | Name | Category | Type | Debit
Work | Fred - 6658 |  | 2023-03-29 00:00:00 | Applebees | Applebees | food | Credit_Card | 31.58
Work | Fred - 6658 |  | 2023-03-29 00:00:00 | Shell | Shell | transportation | Credit_Card | 58.36
Work | Fred - 6658 |  | 2023-03-28 00:00:00 | Shell | Shell | transportation | Credit_Card | 95.36
Work | [NAME] |  | 2023-03-28 00:00:00 | Walmart | Walmart | other | Credit_Card | 12.33
Work | [NAME] |  | 2023-03-28 00:00:00 | Farm King | Farm King | other | Credit_Card | 25.33
Work | Sara - 6332 |  | 2023-03-28 00:00:00 | BP | BP | transportation | Credit_Card | 65.98
Work | Sara - 6332 |  | 2023-03-27 00:00:00 | Taco Bell | Taco Bell | food | Credit_Card | 10.25
Work | Sara - 6332 |  | 2023-03-27 00:00:00 | Shell | Shell | transportation | Credit_Card | 87.25
Work | [NAME] |  | 2023-03-27 00:00:00 | Target | Target | other | Credit_Card | 63.36
Work | [NAME] |  | 2023-03-27 00:00:00 | Texas Roadhouse | Texas Roadhouse | food | Credit_Card | 52.21
Work | Fred - 6658 |  | 2023-03-25 00:00:00 | Indeed | Indeed | other | Credit_Card | 100.25
Work | Fred - 6658 |  | 2023-03-25 00:00:00 | Shell | Shell | transportation | Credit_Card | 68.92
Work | Sara - 6332 |  | 2023-03-25 00:00:00 | Autozone | Autozone | other | Credit_Card | 32.22
Work | Sara - 6332 |  | 2023-03-25 00:00:00 | Caseys | Caseys | transportation | Credit_Card | 38.99
Work | [NAME] |  | 2023-03-24 00:00:00 | Walgrens | Walgrens | other | Credit_Card | 5.23
Spreadsheet: 3d676b59-11a1-4339-a251-331e0d30dd12
Sheet: Detailed Budget

[Grantee Name/Project Title] Detailed Budget
Submitted to: | IIE
Date Submitted: |  |  |  |  | Budget Total
Period of Performance: | From: |  | To: |  | 0
Organization:
US Organizations: Enter cost in USD.  Non-US Organizations: Use local currency
Enter data into yellow shaded cells only. You may add rows as necessary.
Exchange rate 1 UDS=…[local currency]
Budget Section | Cost Per Unit | Unit Type | # of Units | TOTAL | Budget Notes
1. Staff Salaries |  | Day/Hour |  |  | Gross annual salary divided by 260=daily rate; or divided by 2080 hours=hourly rate
a.
b.
c.
d.
e.
Sub-total:
2. Staff [NAME] | Total Salary | % |  |  | If your organization does not have a NICRA, calculate leave and frige benefits as % of salary.
a. Leave
[NAME]
Sub-total:
3. Consultants | Rate | Day/Hour
a.
b.
c.
Sub-total:
4. Office Supplies
a.
b.
c.
d.
e.
Sub-total:
5. Rent and Utilities
Office rent
Office utilities (list separately)
Electricity
Other (describe below)
a.
b.
Sub-total:
6. Communications
Printing
Telephone
Internet
Other (describe below)
 |  |  |  | 0
Sub-total:
7. Equipment
a.
b.
c.
d.
e. |  |  |  | 0
Sub-total:
8. Travel Expenses
Transportation:
Per diem - Location:
Other (describe below)
a.
b. |  |  |  | 0
Sub-total:
9. Other Expenses
a.
b.
c.
d. |  |  |  | 0
e.
Sub-total
Only enter in cells below if your organization has a NICRA.
10. Indirect Costs (per NICRA attached) | Amount of base applied | %
a.
b. |  |  |  | 0
c.
d.
e.
Sub-total:
TOTAL AMOUNT
Spreadsheet: 181431d1348042740-unable-to-change-format-to-hh-mm-book20-b-1-
Sheet: Sheet1

CREATED_ON |  | Same formula |  |  |  | In cells H1 & H2 have the Date and Time: 19/09/2012 11:30 AM
9/13/2012 5:27:31 PM |  |  |  |  |  | Formatted as "dd/mm/yyyy hh:[NAME]" | 2012-09-19 11:30:00
9/13/2012 3:37:35 PM |  |  |  |  |  | Formatted as "General" | 41172.4791666088
9/13/2012 3:42:22 PM
9/13/2012 6:05:10 PM
9/13/2012 10:50:49 PM
9/14/2012 2:32:06 AM
 |  | Format times as you wish!
Spreadsheet: 64580d1265387963-slow-update-workbook-example-1
Sheet: DATA

Adrian Belford | Match Value | No. of Evals | Points | Possible | % Score | Target
Apr | #N/A | 0 | 0 | 0 | 0.75 | 0.85
May | #N/A | 0 | 0 | 0 | 0.7941176470588235 | 0.85
Jun | #N/A | 0 | 0 | 0 | #N/A | 0.85 |  | Graph Source Data
Jul | #N/A | 0 | 0 | 0 | 0.717948717948718 | 0.85
Aug | #N/A | 0 | 0 | 0 | #N/A | 0.85
Sep | #N/A | 0 | 0 | 0 | #N/A | 0.85
Oct | #N/A | 0 | 0 | 0 | #N/A | 0.85
Nov | #N/A | 0 | 0 | 0 | #N/A | 0.85
Dec | #N/A | 0 | 0 | 0 | #N/A | 0.85
Jan | #N/A | 0 | 0 | 0 | #N/A | 0.85 |  | Table Source Data
Feb | #N/A | 0 | 0 | 0 | #N/A | 0.85
Mar | #N/A | 0 | 0 | 0 | #N/A | 0.85
 |  |  |  |  |  |  |  |  | No. of Evals | % Score
 |  |  |  |  |  |  |  | Apr | 2 | 0.75
 |  |  |  |  |  |  |  | May | 2 | 0.7941176470588235
 |  |  |  |  |  |  |  | Jun
 |  |  |  |  |  |  |  | Jul | 2 | 0.717948717948718
 |  |  |  |  |  |  |  | Aug
 |  |  |  |  |  |  |  | Sep
 |  |  |  |  |  |  |  | Oct
 |  |  |  |  |  |  |  | Nov
 |  |  |  |  |  |  |  | Dec
 |  |  |  |  |  |  |  | Jan
 |  |  |  |  |  |  |  | Feb
 |  |  |  |  |  |  |  | Mar
Spreadsheet: darrell_schoolcraft__7302__imball0201
Sheet: Conoco

 | Maljamar |  | Zia |  |  |  |  |  |  |  |  | Avg
Day | Measured | Scheduled | Measured | Scheduled |  |  | Month | Measured | Scheduled | Imbalance | Index | Amount
1 | 41789 | 35858 | 30108 | 32000
2 | 37927 | 35858 | 30887 | 32000 |  |  | 2001-03-01 00:00:00 |  |  |  | 4.98
3 | 32549 | 35858 | 32901 | 32000 |  |  | 2001-04-01 00:00:00 |  |  |  | 4.87
4 |  |  |  |  |  |  | 2001-05-01 00:00:00 |  |  |  | 3.82
5 |  |  |  |  |  |  | 2001-06-01 00:00:00 |  |  |  | 3.2
6 |  |  |  |  |  |  | 2001-07-01 00:00:00 |  |  |  | 2.77
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
2001-12-31 00:00:00 |  |  |  |  | 460431.19
2002-01-03 00:00:00
CBS Volume
 |  |  | 41311
Spreadsheet: 05dee321-048c-468c-8a36-e346fbbdc8cc
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
 | 6345.0 Labour Price Index, Australia
 | Total Hourly Rates of Pay Excluding Bonuses: Private Sector by State, Original (Quarterly 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
Quarterly Index ;  Total hourly rates of pay excluding bonuses ;  New South Wales ;  Private ;  All industries ; |  |  | Original | A2599049K | 1997-09-01 00:00:00 | 2010-06-01 00:00:00 | 52 | Index Numbers | INDEX | Quarter | 3
Quarterly Index ;  Total hourly rates of pay excluding bonuses ;  Victoria ;  Private ;  All industries ; |  |  | Original | A2608359V | 1997-09-01 00:00:00 | 2010-06-01 00:00:00 | 52 | Index Numbers | INDEX | Quarter | 3
Quarterly Index ;  Total hourly rates of pay excluding bonuses ;  Queensland ;  Private ;  All industries ; |  |  | Original | A2600379J | 1997-09-01 00:00:00 | 2010-06-01 00:00:00 | 52 | Index Numbers | INDEX | Quarter | 3
Quarterly Index ;  Total hourly rates of pay excluding bonuses ;  South Australia ;  Private ;  All industries ; |  |  | Original | A2609689C | 1997-09-01 00:00:00 | 2010-06-01 00:00:00 | 52 | Index Numbers | INDEX | Quarter | 3
Quarterly Index ;  Total hourly rates of pay excluding bonuses ;  Western Australia ;  Private ;  All industries ; |  |  | Original | A2607029K | 1997-09-01 00:00:00 | 2010-06-01 00:00:00 | 52 | Index Numbers | INDEX | Quarter | 3
Quarterly Index ;  Total hourly rates of pay excluding bonuses ;  Tasmania ;  Private ;  All industries ; |  |  | Original | A2601709F | 1997-09-01 00:00:00 | 2010-06-01 00:00:00 | 52 | Index Numbers | INDEX | Quarter | 3
Quarterly Index ;  Total hourly rates of pay excluding bonuses ;  Northern Territory ;  Private ;  All industries ; |  |  | Original | A2605699K | 1997-09-01 00:00:00 | 2010-06-01 00:00:00 | 52 | Index Numbers | INDEX | Quarter | 3
Quarterly Index ;  Total hourly rates of pay excluding bonuses ;  Australian Capital Territory ;  Private ;  All industries ; |  |  | Original | A2604369A | 1997-09-01 00:00:00 | 2010-06-01 00:00:00 | 52 | Index Numbers | INDEX | Quarter | 3
Quarterly Index ;  Total hourly rates of pay excluding bonuses ;  Australia ;  Private ;  All industries ; |  |  | Original | A2603039T | 1997-09-01 00:00:00 | 2010-06-01 00:00:00 | 52 | Index Numbers | INDEX | Quarter | 3
© Commonwealth of Australia  2010
Spreadsheet: michelle_lokay__26680__Topock Timberline Summary 011005
Sheet: Tie In, Loop, & River X-in

Enron Corp |  |  |  |  |  |  | Standard Estimate Report |  |  |  |  |  |  |  | Page 9
 |  |  |  |  |  |  | Topock Lateral Expansion Tie-in, Loop, and [NAME] |  |  |  |  |  |  |  | 10/05/2001
 |  |  |  |  |  |  | Estimate Totals
 |  |  | Labor |  | 2778310
 |  |  | Materials |  | 2240746
 |  |  | Freight  (%) |  |  |  |  |  | 0.05
 |  |  | Tax  (%) |  |  |  |  |  | 0.075
 |  |  | Colorado River X-ing (LS) |  | 5000000
 |  |  | Pipeline Right of Way  (LS) |  | 588800
 |  |  | Environmental  (LS) |  | 100000
 |  |  | CSUP - Survey (LS) |  | 200000
 |  |  | CSUP - Inspection (LS) |  | 100000
 |  |  | DLAB - District Labor (LS) |  | 30000
 |  |  | Engineering - Enron  (LS) |  | 170000
 |  |  | Engineering - Contract  (LS) |  | 80000
 |  |  | Engineering - AsBuiltDwg  (LS) |  | 11000 |  |  |  | 0.014
 |  |  | PROJECT MANAGEMENT  (LS) |  | 48000
 |  |  | CONTINGENCY  (%) |  |  |  |  |  | 0.1
 |  |  | OVERHEAD  (%) |  |  |  |  |  | 0.1
 |  |  | AFUDC (% of Current Total) |  |  |  |  |  | 0.04
 |  |  | GROSS RECEIPTS (%) |  |  |  |  |  | 0.07
 |  |  | ESCALATION (2002)  (%) |  |  |  |  |  | 0.03
 |  |  |  |  | Total
 | Note:  This is a + 30% cost estimate.
Spreadsheet: 749641d1632939237-count-unique-values-based-on-criteria-unique-sorted-with-helper
Sheet: LABOR DETAILS

Description | Job |  |  | Instructions
 | 1021013. |  |  | Looking for formual to pull the # of UNIQUE names who are tagged to this job #.
 |  |  |  | All job titles should reference $B4 for job #.  Then match column A (Job title) to JobTitle within the LaborDetail sheet.
JOB # | 1021013. | FullName
 |  |  | If you filter to job 102103, there are 4 unique individuals with the job title "[NAME]".
Service Technician Labor
Sheet metal Labor |  |  | I used a "Helper"  column in your data to get the answer to the left.
Sheetmetal Planning
Sheetmetal Shop
Steamfitter Field Labor
Spreadsheet: 4d95751f-fd27-461f-8cda-b7e047120e50
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
ONIN | Test | ONIN | Onion, IgE | Onion, IgE | Fluorescence Enzyme Immunoassay (FEIA) | Serum Gel Tube: SGT |  |  | 0.5 | mL | Container/Tube:  Preferred: Red top Acceptable: Serum gel [NAME]: 0.5 mL for each 5 allergens requested Additional Information: Designate specific allergens from the list in Allergens-IgE Antibodies in Special Instructions. Forms: If not ordering electronically, submit an Allergen Request Form (Supply T236) with the specimen. | For 1 allergen: 0.3 mL/For more | Hemolysis	Mild OK; Gross OK Thawing	Warm reject; Cold OK Lipemia	Mild OK; [NAME] OK Icterus	NA Other	NA | Class	IgE kU/L	Interpretation 0	<0.35	Negative 1	0.35-0.69	Equivocal 2	0.70-3.49	Positive 3	3.50-17.4	Positive 4	17.5-49.9	Strongly positive 5	50.0-99.9	Strongly positive 6	> or =100	Strongly positive Reference values apply to all ages. | Monday through Friday, 9 a.m.-8 p.m., Saturday 8 a.m.-3 p.m. | Same day/1 day | 3 days | 1 | 86003 |  |  |  |  | Rochester
ONIN | [NAME] | SERUM | Serum |  |  |  | Refrigerated | 14 days
ONIN | Result | ONIN | Onion, IgE | Onion, IgE | Numeric |  |  |  |  | kU/L |  |  |  |  |  |  |  |  |  | 6193-7 | Allium [NAME].IgE:ACnc:Pt:Ser:Qn:
Spreadsheet: 691837d1597914821-looking-for-lookup-formula-that-will-copy-and-populate-another-sheet-propexample
Sheet: Sheet1

Title | First Name | Surname | New Address Line 1 | New Address Line 2 | New Address Line 3 | New Address Line 4 | New Post Code | Propref
 |  |  | 1 test road | 1 test name | 1 test city | 1 test town | [NAME] | 59050002
 |  |  | 2 test road | 2 test name | 2 test city | 2 test town | CCC DDDD | 12130003
 |  |  | 3 test road | 3 test name | 3 test city | 3 test town | EEE FFFF | 12400003
 |  |  | 4 test road | 4 test name | 4 test city | 4 test town | [NAME] | 40100001
 |  |  | 5 test road | 5 test name | 5 test city | 5 test town | III JJJJ | 40100002
Spreadsheet: 39837d1238100025-how-much-time-for-concrete-truck-concretetimes
Sheet: Lists

Concrete | Time |  | Add Mixture | Change
Class A | 90 |  | mix1 | 10
Class AA | 90 |  | [NAME] | 10
Minor Structure | 60 |  | mix3 | 5
Type B | 45 |  | mix4 | 5
 |  |  | mix5 | 0
 |  |  | mix6 | 0
 |  |  | [NAME] | 0
 |  |  | [NAME] | -5
 |  |  | mix9 | -5
 |  |  | mix10 | -5
 |  |  | mix11 | -10
 |  |  | mix12 | -10
 |  |  | mix13 | -10
Spreadsheet: 704863d1605787504-based-on-condition-track-id-values-to-be-return-in-column-c-book1
Sheet: Sheet1

Track ID | Total | Allowable value | Actual value |  |  | Track ID | Rate
 | Qty |  |  |  |  | 321563
321563 | 28 |  | 1256 |  |  | 215632
215632 | 50 |  | 213 |  |  | 236521 | 12
236521 | 200 |  | 154 |  |  | 695856 | 65
215632 | 142.5 |  | 5642
695856 | 7.5 |  | 215
215632 | 25 |  | 2365
321563 | 32 |  | 15263
321563 | 20.484 |  | 25416
 | expected Answer
Track ID | Total | Allowable value | Actual value
 | Qty
321563 | 28 |  | 1256
215632 | 50 |  | 213
236521 | 200 |  | 154
215632 | 142.5 |  | 5642
695856 | 7.5 |  | 215
215632 | 25 |  | 2365
321563 | 32 |  | 15263
321563 | 20.484 |  | 25416
Spreadsheet: 4ccfa049-738c-4cec-af18-1a5864f6abe4
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | SWIM | T1 | BIKE | T2 | RUN | POSITION | TOTAL TIME
259762 | 6052 | Lucas | [NAME] | ARG | 4 | 00:25:47 | 00:01:08 | 02:31:38 | 00:00:33 | 01:32:44 | 1 | [NAME]
259762 | 75762 | [NAME] | Gajardo | CHI | 1 | 00:33:10 | 00:00:40 | 02:33:42 | [NAME] | 01:29:07 | 2 | 04:37:21
259762 | 39558 | Caio | [NAME] | BRA | 2 | 00:28:01 | 00:00:58 | 02:29:56 | 00:00:45 | 01:49:47 | 3 | 04:49:27
259762 | 75765 | Raul | [NAME] | CHI |  | 00:41:36 | 00:01:58 | 03:05:50 | 00:01:23 | 01:53:28 | 4 | 05:44:15
259762 | 75763 | [NAME] | [NAME] | CHI | 3 | 00:00:01 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | DNF | 00:00:00
Spreadsheet: 166172d1341493603-array-formula-which-can-average-and-sum-two-different-criteria-for-forum-2-july-12
Sheet: Pivot Table

Average of Score
Status | University Most Recently Attended | Total
Assessment Centre | Queen's University Belfast | 38
 | Royal Institute of Technology (SWE: Kungliga tekniska högskolan) | 28
 | University of Bath | 27.5
 | University of Blank | 30
 | University of Bristol | 23
 | University of Glasgow | 30.5
 | University of Manchester | 27
 | University of New Orleans | 31
 | University of Newcastle | 26.5
 | University of Nottingham | 29.25
 | University of Sheffield | 25
 | University of Southampton | 28.5
 | University of Strathclyde | 27.75
 | University of York | 18
Assessment Centre Total |  | 28.08333333333333
Grand Total |  | 28.08333333333333
Spreadsheet: 268882d1380877116-count-unique-champtyagi
Sheet: Sheet1

Value1 | Value2 |  |  | Unique1 | Unique2 |  | Count:
1 | 11
2 | 12
3 | 13
1 | 11
2 | 14
3 | 15
1 | 11
2 | 14
3 | 16
Spreadsheet: 938eab7e-5af6-4f86-b133-5eeaa9db990f
Sheet: Fields 16, 17

Permit No.: |  |  | WQ0016376 |  |  | Facility Name: |  | S&J Villari Livestock Processing Facility-Warsaw |  |  |  |  |  | County: | Duplin |  | Month: |  |  | Year:
Did irrigation occur    at this facility? |  |  |  |  |  | Field Name: |  | 16 |  | Field Name: |  | 17 |  | Field Name: |  |  |  | Field Name:
 |  |  |  |  |  | Area (acres): |  | 1.25 |  | Area (acres): |  | 1.05 |  | Area (acres): |  |  |  | Area (acres):
 |  |  |  |  |  | Cover Crop: |  |  |  | Cover Crop: |  |  |  | Cover Crop: |  |  |  | Cover Crop:
 |  |  |  |  |  | [NAME] (in): |  | 0.6 |  | [NAME] (in): |  | 0.5 |  | [NAME] (in): |  |  |  | [NAME] (in):
 |  |  |  |  |  | Annual Rate (in): |  | 13.83 |  | Annual Rate (in): |  | 16.95 |  | Annual Rate (in): |  |  |  | Annual Rate (in):
Day | Weather |  |  | Freeboard |  | Field Irrigated? |  |  |  | Field Irrigated? |  |  |  | Field Irrigated? |  |  |  | Field Irrigated?
 | Weather Code | Temperature | Precipitation | Lagoon Storage | Tank Storage | Volume Applied | Time   Irrigated | Daily   Loading | Maximum Hourly Loading | Volume Applied | Time    Irrigated | Daily   Loading | Maximum Hourly Loading | Volume Applied | Time   Irrigated | Daily   Loading | Maximum Hourly Loading | Volume Applied | Time   Irrigated | Daily   Loading | Maximum Hourly Loading
 |  | ºF | in | in | in | gal | min | in | in | gal | min | in | in | gal | min | in | in | gal | min | in | in
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
Monthly Loading:
12 Month Floating Total (in):
Spreadsheet: 689046d1596098603-offset-function-to-change-based-on-the-number-of-days-per-week-daily-report-aligw
Sheet: DAILY REPORTING

 | DAILY REVENUE & OCCUPANCY REPORT
DAY OF WEEK | DATE | ROOM REVENUE | REWARDS NIGHTS REVENUE | ROOM NIGHTS SOLD | REWARDS NIGHTS | COMP NIGHTS | MARKET REVENUE | TOTAL REVENUE |  | Week No.
 |  | 1 |  | 1
 |  | 1 |  | 1
 |  | 2
 |  | 1.2
 |  | 1.3
 |  | 1.4
 |  | 1.5
Spreadsheet: 483188d1475524342-need-help-with-creating-histogram-error-message-input-range-contains-non-numeric-data-copy-of-np_ex16_4a_cathyma_1-5
Sheet: Loan Options

Inception Workspace
Business Loan Request
 | Option A | Option B | Option C
Loan Amount | 300000 | 300000 | 350000
Annual Interest Rate | 0.08 | 0.0657 | 0.0599
Payments per Year | 12 | 12 | 12
Interest Rate per Period
Number of Years | 10 | 15 | 20
Total Payments
Monthly Payments
Annual Payments