tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 04ac40d8-7e78-4352-97ce-9873fa4e62e3
Sheet: 4.2(BI) Major Group Enroll-Grad

Institution
Indicator 4: Student Enrollment and Graduation by Major Group
Table 4.2(BI): Major Group Fall Enrollment, Graduation & Post-Graduate / AY 2010-11
 | Major Group | BI - Biology
 | Please enter the number of students enrolled in this major group for the fall semester.
 |  |  |  |  | Fall 2010 (October 15, 2010)
 | Fall Enrollment (Snapshot) |  | American Indian |  | Non-Indian
 |  |  | M | F | M | F | Total
 |  | Full Time | na | na | na | na
 |  | Part Time | na | na | na | na
 |  | Total
 | Please enter the number of diploma, certificates, and degrees earned in this major group.  Also enter the number of students graduating with degrees who earned a GPA of 3.0 or above, and the number who were admitted to a 4 year (Associate degree graduates), or graduate school (Bachelor's degree graduates).  Lastly, enter the number of all graduating students(certificate or degree) who secured employment after graduation.
 |  |  |  |  | July 1, 2010- June 30, 2011
 | Graduation |  | American Indian |  | Non-Indian
 |  |  | M | F | M | F | Total
Apprenticeship/Occupational Program |  |  | na | na | na | na
Diploma |  |  | na | na | na | na
Certificate |  |  | na | na | na | na
Associate Degree |  |  | na | na | na | na
 | Assoc. graduates admitted to four-year program |  | na | na | na | na
 | [NAME]. graduated with a GPA of 3.0 or above |  | na | na | na | na
Bachelor's Degree |  |  | na | na | na | na
 | [NAME]. graduates admitted to graduate school |  | na | na | na | na
 | [NAME]. graduated with a GPA of 3.0 or above |  | na | na | na | na
Master's Degree |  |  | na | na | na | na
Employed after graduation |  |  | na | na | na | na
Notes:
Spreadsheet: 2fa9f269-f957-4eca-8e52-894d4fb76f54
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
NSESF | Test | NSESF | Neuron-Specific Enolase (NSE), [NAME] | Neuron Specific Enolase, CSF | Homogeneous Time-Resolved Fluorescence | [NAME], leak proof vial: ScwLkPf |  |  | 0.5 | mL | Container/Tube: Sterile vial [NAME]: 0.5 mL Forms: If not ordering electronically, submit a General Request Form (Supply T239) with the specimen. | 0.3 mL | Hemolysis	NA Thawing	Warm reject; Cold reject Lipemia	NA Icterus	NA Other	NA | Normal: < or =15 ng/mL Indeterminate: 15-30 ng/mL Elevated: >30 ng/mL Elevated results may indicate the need for additional work-up. Possible causes may be NSE-secreting central nervous system/leptomeningeal tumor or rapid neuronal destruction from a variety of causes. In the context of dementia, elevated results may be suggestive of Creutzfeldt-Jakob disease. | Monday through Saturday; 2:30 p.m. | 1 day | 4 days | 1 | 83520 |  |  |  |  | Rochester
NSESF | [NAME] | CSF | CSF |  |  |  | Refrigerated | 7 days
NSESF | Result | NSESF | Neuron Specific Enolase, CSF | Neuron Specific Enolase, CSF | Numeric |  |  |  |  | ng/mL |  |  |  |  |  |  |  |  |  | 44802-7
Spreadsheet: 793238d1661360326-counting-names-using-sumproduct-problem-book2
Sheet: Sep-22

 |  | Mon | Tue | Wed | Thu | Fri | Sat | Sun |  |  | Phones |  |  | Lunch
 |  | 2022-09-26 00:00:00 |  |  |  |  |  |  |  |  | Alicia |  |  | Alicia
Lunch |  | [NAME] | Corrina/Alicia | Krystal/Ally | Allison/Krysta | [NAME]/Karen |  |  |  |  | Ally |  |  | Ally
Phones |  | [NAME] | [NAME] | [NAME] | [NAME] | [NAME] |  |  |  |  | [NAME] |  |  | [NAME]
 |  |  |  |  |  |  |  |  |  |  | [NAME] |  |  | [NAME]
 |  |  |  |  |  |  |  |  |  |  | [NAME] |  |  | [NAME]
 |  |  |  |  |  |  |  |  |  |  | [NAME] |  |  | [NAME]
 |  |  |  |  |  |  |  |  |  |  | [NAME] |  |  | [NAME]
 |  |  |  |  |  |  |  |  |  |  |  |  |  | [NAME]
 |  |  |  |  |  |  |  |  |  |  |  |  |  | Wicks
 |  | The table named "Lunch" on the right is to total up some, but not all, of the names in C4:G4.  It was all working fine, until we had another person come onboard with a similar name to one of the other staf members!  Cell N8 is only supposed to add up the amount of times "Krysta" is in the cells C4:G4, but it's now also inlcuding "Krystal" too!  How can I have it so that it only counts "Krysta"?
Spreadsheet: 801943d1666504301-auto-numbering-when-entering-and-counting-auto_numbering_count
Sheet: Sheet1

 |  | No | Items
 |  |  | Item A
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 |  |  | Item B
 |  |  | Item B
 |  |  | Item B
 |  |  | Item C
 |  |  | Item C
 |  |  | Item C
 |  |  | Item C
 |  |  | Item C
 |  |  | Item C
 |  |  | Item C
 |  |  | Item C
 |  |  | Item C
 |  |  | Item A
 |  |  | Item B
 |  |  | Item B
 |  |  | Item B
 |  |  | Item A
Spreadsheet: 42402d1240984175-excel-enquiry-over-multiple-sheets-sample-1
Sheet: Idaho

 |  |  |  |  |  | Qtr 1 | Qtr 2 | Qtr 3 | Qtr 4 | Total |  | Operation | Project | Process | Category | Object | Component | Code
 | Data group 2 |  |  |  |  |  |  |  |  | 0
 |  | Data group 2 sub 1 |  |  |  |  |  |  |  | 0
 |  |  | Data line 1 |  |  | 131 | 76 | 25 | 22 | 254 |  | 17 | 12 | 11 | 12 | 11 | 02 | [PHONE]
 |  |  | Data line 2 |  |  | 10 | 53 | 147 | 30 | 240 |  | 17 | 12 | 12 | 12 | 13 | 14 | [PHONE]
 |  |  | Data line 3 |  |  | 42 | 32 | 100 | 116 | 290 |  | 17 | 12 | 13 | 12 | 15 | 16 | [PHONE]
 |  | Data group 2 sub 2 |  |  |  |  |  |  |  | 0
 |  |  | Data line 1 |  |  | 84 | 140 | 54 | 151 | 429 |  | 17 | 12 | 15 | 09 | 13 | 14 | [PHONE]
 |  |  | Data line 2 |  |  | 65 | 158 | 94 | 43 | 360 |  | 17 | 12 | 16 | 12 | 15 | 16 | [PHONE]
 |  |  | Data line 3 |  |  | 37 | 118 | 5 | 117 | 277 |  | 17 | 12 | 16 | 13 | 11 | 02 | [PHONE]
 | Data group 3 |  |  |  |  |  |  |  |  | 0
 |  |  | Data line 1 |  |  | 38 | 162 | 50 | 141 | 391 |  | 17 | 13 | 12 | 13 | 15 | 16 | [PHONE]
 |  |  | Data line 2 |  |  | 156 | 49 | 90 | 29 | 324 |  | 17 | 13 | 12 | 12 | 11 | 02 | [PHONE]
 |  |  | Data line 3 |  |  | 55 | 149 | 128 | 120 | 452 |  | 17 | 13 | 12 | 09 | 13 | 14 | [PHONE]
 | Data group 4 |  |  |  |  |  |  |  |  | 0
 |  | Data group 4 sub 1 |  |  |  |  |  |  |  | 0
 |  |  | Data line 1 |  |  | 46 | 63 | 104 | 129 | 342 |  | 17 | 14 | 13 | 12 | 13 | 14 | [PHONE]
 |  |  | Data line 2 |  |  | 18 | 164 | 150 | 154 | 486 |  | 17 | 14 | 13 | 12 | 15 | 16 | [PHONE]
 |  |  | Data line 3 |  |  | 165 | 101 | 78 | 20 | 364 |  | 17 | 14 | 13 | 13 | 11 | 02 | [PHONE]
 |  |  | Overhead 4 |  |  | 161 | 130 | 4 | 121 | 416 |  | 17 | 14 | 13 | 09 | 13 | 14 | [PHONE]
 |  | Data group 4 sub 2 |  |  |  |  |  |  |  | 0
 |  |  | Data line 1 |  |  | 23 | 74 | 19 | 107 | 223 |  | 17 | 15 | 13 | 14 | 11 | 02 | [PHONE]
 |  |  | Data line 2 |  |  | 59 | 72 | 56 | 27 | 214 |  | 17 | 15 | 13 | 16 | 13 | 14 | [PHONE]
 |  |  | Data line 3 |  |  | 115 | 82 | 73 | 66 | 336 |  | 17 | 15 | 13 | 16 | 15 | 16 | [PHONE]
 |  |  | Data line 4 |  |  | 47 | 135 | 143 | 146 | 471 |  | 17 | 15 | 13 | 09 | 11 | 02 | [PHONE]
 |  |  | Data line 5 |  |  | 35 | 112 | 17 | 113 | 277 |  | 17 | 15 | 13 | 12 | 13 | 14 | [PHONE]
 |  |  | Data line 6 |  |  | 92 | 64 | 163 | 160 | 479 |  | 17 | 15 | 13 | 15 | 15 | 14 | [PHONE]
Spreadsheet: 142866d1330046309-how-sum-a-number-based-on-text-before-the-number-copy-of-leave
Sheet: January - March

Q = time aquired + value for hours aquired (aquired meaning total hours worked)
T = time taken + value for hours taken (taken meaning, total hours leave they've taken)
As you can see, I can just put a number in here as it will not associate the different meanings within the tab Annual Leave 2012 Calculations.
I'm not sure if this is the best way of doing it so your suggestions would be great.
 | 2012-01-01 00:00:00
 |  |  | Sun | Mon | Tue | Wed | Thu | Fri | Sat | Sun | Mon | Tue | Wed | Thu | Fri | Sat | Sun | Mon | Tue | Wed | Thu | Fri | Sat | Sun | Mon | Tue | Wed | Thu | Fri | Sat | Sun | Mon | Tue
 |  |  | 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
 | person1 |  |  |  |  |  | 5 |  |  |  | 3 |  |  |  |  |  |  |  |  |  | 0.2 |  |  |  |  |  |  |  |  |  |  | 0.1 |  |  | person1
 | person2 |  |  |  |  |  | 4 |  |  |  | 3 |  |  |  |  |  |  |  |  |  | 0.8 |  |  |  |  |  |  |  |  |  |  | 0.7 |  |  | person2
 | person3 |  |  |  |  |  | 3 |  |  |  | 3 |  |  | 0.5 |  |  |  |  | 4 |  | 0.2 |  |  |  | 2 |  |  |  |  |  |  | 0.3 |  |  | person3
 | person4 |  |  |  |  |  | 2 |  |  |  | 3 |  |  |  |  |  |  |  |  |  | 0.2 |  |  |  |  |  |  |  |  |  |  | 0.1 |  |  | person4
 | person5 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0.9 |  |  | person5
 | person6 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | person6
 | person7 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | person7
 | person8 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | person8
 | person9 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | person9
Spreadsheet: 00a0fac2-40ab-4e62-ad6f-ff61abcdbbe4
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | International Taekwon-Do Federation | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8
 | International Instructor Course
 |  |  | Individual Application Form
 |  | City: | New York |  | Country: | USA
Participant:
 | name |  |  |  | surname |  |  | M/F
Address:
 | street |  |  |  | number | code | city
Date of Birth: |  |  |  |  | Nationality:
 | year | month | day
e.mail:
actual kup/degree |  |  |  |  | ITF degree number: |  | -    -
signature:
Participants Instructor and/or Master:
 | name |  |  |  | surname
Plaque Certificate number: |  |  |  |  | ITF degree number: |  | -    -
e.mail:
signature:
Organiser: | Queens Taekwon-do Center
(Federation/Association name)
President:
 | Master [NAME] |  |  |  | [NAME]
 | name |  |  |  | surname
e.mail: | [EMAIL]
signature:
date of event: | 2012 | March | 22-24
 | year | month | day
NOTE:
This aplication will not be acepted without the proper plaque and certificate numbers.
Spreadsheet: 859426d1707824851-if-function-not-working-book-2-aligw
Sheet: Sheet1

 |  |  |  |  |  |  |  | A | B | A-B
 |  |  |  |  |  |  |  | 1
 |  |  |  |  |  |  |  | 1 | 2
 |  |  |  |  |  |  |  | 1 | 2
 |  |  |  |  |  |  |  | 4 | 2
 |  |  |  |  |  |  |  | 5
 |  |  |  |  |  |  |  | 4
 |  |  |  |  |  |  |  |  | 2
 |  |  |  |  |  |  |  | 3
 |  |  |  |  |  |  |  | 2
 |  |  |  |  |  |  |  | 1
 |  |  |  |  |  |  |  |  | 2
 |  |  |  |  |  |  |  | 1
Spreadsheet: 706646d1606818733-replace-the-word-in-a1-in-the-sentence-in-b1-with-word-replacement-gk2
Sheet: Sheet1

bear | (     ) | The bear lives in the woods. | The (     ) lives in the woods.
fries | (     ) | McDonalds makes a profit from fries. | McDonalds makes a profit from (     ).
pigs | (     ) | The woods are full of wild pigs. | The woods are full of wild (     ).
 |  | This contains nothing | This contains nothing
 |  | Bear with me for a moment. | Bear with me for a moment.
 |  | Can pigs fly? | Can (     ) fly?
 |  | Pigs can fly | Pigs can fly
 |  | Pigs can fly | (     ) CAN FLY
 |  | Pigs can fly | (     ) can fly
Spreadsheet: 866937d1713857290-lookup-issue-sample_test
Sheet: U1

License plate | Equipment | Description | TechIdentNo. | Description
27343 | 23593915 | FORD,Transit,Cargo,Diesel,LHD,4x4 | SDS-Y-09931 | Truck,Cargo/Crane,1Cab,LD,Diesel,RHD,4x2
27342 | 16973039 | FORD,Transit,Cargo,Diesel,LHD,4x4 | SDS-Y-09930 | Truck,Cargo/Crane,1Cab,LD,Diesel,RHD,4x2
27341 | 16954295 | FORD,Transit,Cargo,Diesel,LHD,4x4 | SDS-Y-09929 | Truck,Cargo/Crane,1Cab,LD,Diesel,RHD,4x2
27340 | 16954296 | FORD,Transit,Cargo,Diesel,LHD,4x4 | SDS-Y-09928 | Truck,Cargo/Crane,1Cab,LD,Diesel,RHD,4x2
27328 | 16954297 | FORD,Transit,Cargo,Diesel,LHD,4x4 | SDS-Y-08687 | Truck,Cargo/Crane,1Cab,LD,Diesel,RHD,4x2
27327 | 16954298 | FORD,Transit,Cargo,Diesel,LHD,4x4 | SDS-Y-08686 | Truck,Cargo/Crane,1Cab,LD,Diesel,RHD,4x2
27484 | 16954431 | CTC,SRT,[NAME],Cargo/ISO,30T | SDS-Z-015080 | ~Semi-trailer:Cargo,HD,30000kg,3axle
Spreadsheet: 730321d1619637683-trying-to-create-a-rating-system-based-on-certain-criteria-scorecard-formula
Sheet: Sheet1

 |  | Negative Impact Items
Appraiser | Accepted | Declined (10%) | ReqRev (15%) | Other (5%) | TAT (70%) | Score
Jones, [NAME] | 14 | 1 | 2 | 0 | 5
Smith, Mary | 13 | 7 | 8 | 2 | 12
 |  | SCORING
Appraiser |  | 0.1 | 0.15 | 0.05 | 0.7 | Score 0 -10
Jones, [NAME]
Smith, Mary
Best |  | 10 | 10 | 10 | 10 |  |  | Check of math
Worst |  | 0 | 0 | 0 | 0
Spreadsheet: kate_symes__18563__SP 15 pages
Sheet: DJ SP15

 |  |  | Firm | Volume | Firm | Volume | Sun & NERC | Volume
 | DATE |  | On [NAME] | [NAME] | [NAME] | [NAME] | 24 HOUR | [NAME]
 | 2001-02-01 00:00:00 |  | 219.11 | 13984 | 176.57 | 4368
 | 2001-01-31 00:00:00 |  | 238.8 | 20288 | 184.92 | 4640
 | 2001-01-30 00:00:00 |  | 222.41 | 19968 | 176.45 | 6240
 | 2001-01-29 00:00:00 |  | 227.4 | 21840 | 181.89 | 4440
 | 2001-01-28 00:00:00 |  |  |  |  |  | 181.89 | 13320
 | 2001-01-27 00:00:00 |  | 211.11 | 21472 | 172.47 | 4456
 | 2001-01-26 00:00:00 |  | 211.11 | 21392 | 172.47 | 4456
 | 2001-01-25 00:00:00 |  | 208.12 | 14880 | 179.01 | 6280
 | 2001-01-24 00:00:00 |  | 222.73 | 18880 | 169.8 | 6240
 | 2001-01-23 00:00:00 |  | 251.47 | 12800 | 171.59 | 5800
 | 2001-01-22 00:00:00 |  | 267.54 | 15440 | 185.36 | 2800
 | 2001-01-21 00:00:00 |  |  |  |  |  | 185 | 2400
 | 2001-01-20 00:00:00 |  | 435.91 | 4400 | 260.09 | 3584
 | 2001-01-19 00:00:00 |  | 435.91 | 4400 | 260.09 | 3584
 | 2001-01-18 00:00:00 |  | 326.07 | 5600 | 216.1 | 3080
 | 2001-01-17 00:00:00 |  | 232.5 | 8000 | 179.95 | 3680
 | 2001-01-16 00:00:00 |  | 181.85 | 13600 | 133.91 | 1880
 | 2001-01-15 00:00:00 |  | 181.85 | 13600 | 133.91 | 1880
 | 2001-01-14 00:00:00 |  |  |  |  |  | 128.51 | 4440
 | 2001-01-13 00:00:00 |  | 169.31 | 26800 | 128.51 | 1480
 | 2001-01-12 00:00:00 |  | 170.09 | 18800 | 123.67 | 2400
 | 2001-01-11 00:00:00 |  | 170.09 | 18800 | 123.67 | 2400
 | 2001-01-10 00:00:00 |  | 164.78 | 14800 | 129.9 | 2000
 | 2001-01-09 00:00:00 |  | 155.6 | 14000 | 129.75 | 3200
 | 2001-01-08 00:00:00 |  | 135.72 | 11600 | 102.7 | 2000
 | 2001-01-07 00:00:00 |  |  |  |  |  | 102.7 | 6000
 | 2001-01-06 00:00:00 |  | 139.35 | 10400 | 101.82 | 4400
 | 2001-01-05 00:00:00 |  | 139.35 | 10400 | 101.82 | 4400
 | 2001-01-04 00:00:00 |  | 146.31 | 6400 | 108.22 | 3600
 | 2001-01-03 00:00:00 |  | 146.92 | 4800 | 115.58 | 2400
 | 2001-01-02 00:00:00 |  | 143.57 | 2800 | 120 | 2600
Spreadsheet: 742293d1627648933-date-overlap-from-a-range-of-dates-book1
Sheet: Sheet1

 | Contract Start: | 2020-05-01 00:00:00
 | Contract Completion Date: | 2021-07-29 00:00:00
 | Planned Completion:
 | Period of Delay |  |  |  |  |  |  | Adjustment to Completion Date
 | Start | Finish | Calendar Days | Work Days | Weeks | Overlap | Days Delay | Start | Finish | Calendar Days | Work Days | Weeks
 | 2021-01-30 00:00:00 | 2021-02-06 00:00:00
 | 2021-04-26 00:00:00 | 2021-05-29 00:00:00
 | 2021-05-07 00:00:00 | 2021-06-22 00:00:00
Spreadsheet: 807807d1670066831-calling-data-from-main-sheet-g6-ver-256
Sheet: 5 BEST AND WEK FEMALE STUDENT

I. FIVE BEST FEMALE STUDENTS
NO | NAME | SEX M=1 &F=2 | SCHOOL | WARD | SUBJECTS |  |  |  |  |  |  |  |  |  |  |  |  |  | TOTAL | AVERAGE | GRADE
 |  |  |  |  | KISW |  | ENGL |  | HIS |  | SAY |  | M/JAM |  | URA |  | S/KAZI
 |  |  |  |  | A | D | A | D | A | D | A | D | A | D | A | D | A | D
J. FIVE WEAK FEMALE STUDENTS
NO | NAME | SEX M=1 &F=2 | SCHOOL | WARD | SUBJECTS |  |  |  |  |  |  |  |  |  |  |  |  |  | TOTAL | AVERAGE | GRADE
 |  |  |  |  | KISW |  | ENGL |  | HIS |  | SAY |  | M/JAM |  | URA |  | S/KAZI
 |  |  |  |  | A | D | A | D | A | D | A | D | A | D | A | D | A | D
 | sd\
Spreadsheet: 131369d1322928406-count-product-test
Sheet: Sheet1

 | Date | Acct# | Wo# | Tech # | Resolution | # of emails to resolve | Region
 | 2011-09-10 00:00:00 | 123456 | 1 |  | Completed | 2 | AB
 | 2011-09-10 00:00:00 | 123456 | 2 |  | pending | 3 | AB |  | # of emails it took to resolve AB
 | 2011-09-10 00:00:00 | 123456 | 3 |  | pending | 2 | AB |  | # of emails it took to resolve van
 | 2011-09-10 00:00:00 | 123456 | 4 |  | Completed | 1 | AB |  | # of emails it took to resolve Vic
 | 2011-09-10 00:00:00 | 123456 | 5 |  | pending | 1 | VAN |  | # of emails it took to resolve WPG
 | 2011-09-10 00:00:00 | 123456 | 6 |  | pending | 2 | VAN
 | 2011-09-10 00:00:00 | 123456 | 7 |  | Completed | 2 | VIC
 | 2011-09-10 00:00:00 | 123456 | 8 |  | pending | 3 | WPG |  | Region Total AB
 | 2011-09-10 00:00:00 | 123456 | 9 |  | pending | 4 | VAN |  | Region Total Van
 | 2011-09-11 00:00:00 | 123456 | 10 |  | Completed | 5 | VAN |  | Region Total VIC
 | 2011-09-11 00:00:00 | 123456 | 11 |  | pending | 1 | VIC |  | Region Total WPG
 | 2011-09-11 00:00:00 | 123456 | 12 |  | pending | 1 | WPG
 | 2011-09-11 00:00:00 | 123456 | 13 |  | Completed | 1 | VAN |  | COUNT # of Time Region appears on Specific Date.
 | 2011-09-12 00:00:00 | 123456 | 14 |  | pending | 1 | VAN |  | Date | AB | VAN | VIC | WPG
 | 2011-09-12 00:00:00 | 123456 | 15 |  | pending | 1 | VIC |  | 2010-09-01 00:00:00
 | 2011-09-12 00:00:00 | 123456 | 16 |  | Completed | 1 | WPG |  | 2011-09-01 00:00:00
 | 2011-09-12 00:00:00 | 123456 | 17 |  | pending | 11 | VAN |  | 2012-09-01 00:00:00
 |  |  |  |  |  |  |  |  | 2013-09-01 00:00:00
 |  |  |  |  |  |  |  |  | 2014-09-01 00:00:00
 |  |  |  |  |  |  |  |  | 2015-09-01 00:00:00
Spreadsheet: 220068d1363045151-create-dynamic-dependent-drop-down-menus-final-voe
Sheet: Sheet2

 | Select Industry | Insurance
 | Select Company | Prudential, Hartford
 | Company | Number | Verified | Notes | Work #
 | Copy and Paste applicable form into PFNet notes
 | Non-Work Number Form |  |  | Work Number Form
 | VOE |  |  | VOE
 | Name: |  |  | Name:
 | Company: |  |  | Company:
 | Job Title: |  |  | Phone #:
 | DOE: |  |  | Verified:
 | Currently Active: |  |  | Transferred by
 | Phone #:
 | Verified:
 | Verifier:
 | Position:
 | Financial
 | Company | Number | Verfied | Notes | Work #
 | ING | [PHONE] | google.com |  | no
 | JP Morgan Chase | [PHONE]
 | GE Capital, Danbury | [PHONE] | google.com
 | GE Capital, Fairfield | [PHONE] | google.com
 | GE Capital, Norwalk | [PHONE] | superpages.com
 | Prudential Financial | [PHONE] | google.com
 | [NAME] | [PHONE] | google.com
 | UBS- Hartford | [PHONE] | google.com
 | Fidelity Investments | [PHONE] | whitepages.com
 | Sovereign Bank | [PHONE]
 | Citizens Bank | [PHONE]
 | Price Waterhouse- Hartford | [PHONE]
 | Insurance
 | Company | Number | Verfied | Notes | Work #
 | Aetna | [PHONE]
 | AIG | [PHONE] | yp.com | press 7 for operator | yes
 | The Hartford | [PHONE]
 | [NAME]'s | [PHONE]
 | Cigna | [PHONE]
 | Mass Mutual | [PHONE]
 | Prudential, Hartford | [PHONE]
 | Phoenix | [PHONE]
 | State Street | [PHONE]
 | Tech-
 | Company | Number | Verfied | Notes | Work #
 | Sikorsky | [PHONE]
 | Otis Elevator | [PHONE]
 | Chemtra | [PHONE]
 | IBM | [PHONE]
 | UTC, [NAME] | [PHONE]
 | Cisco | [PHONE]
 | Sikorsky | [PHONE]
 | Otis Elevator | [PHONE]
 | Chemtra | [PHONE]
 | IBM | [PHONE]
 | UTC, [NAME] | [PHONE]
 | Cisco | [PHONE] |  |  | Yes
 | Sikorsky | [PHONE]
 | Otis Elevator | [PHONE]
 | Chemtra | [PHONE]
 | IBM | [PHONE]
 | UTC, [NAME] | [PHONE]
 | Cisco
 | Medical
 | Company | Number |  | Notes | Work #
 | Hartford Hospital | [PHONE]
 | CT Children's Medical | HR: [PHONE] Fax: [PHONE]
 | United Healthcare Hartford | [PHONE]
 | St. Vincent's Hospital | [PHONE]
 | Pfizer | [PHONE]
 | Mid-State Medical | [PHONE]
 | Mass. General | [PHONE]
 | Yale-New Haven Hopsital | [PHONE]
 | Boehringer Ingelheim | [PHONE]
 | Bristol Myers Squibb | [PHONE]
 | Hopistal of St. Raphael | [PHONE]
 | St. Francis Hospital | [PHONE]
 | Gilead (CGI) | [PHONE]
 | Covidien | [PHONE]
 | Alexion Pharm | [PHONE]
 | Educational
 | Company | Number | Verfied | Notes | Work #
 | [NAME] | [PHONE]
 | Harvard University | HR: [PHONE] Fax:[PHONE]
 | [NAME] | [PHONE]
 | Hartford Public Schools | [PHONE]
 | New Haven BOE | [PHONE]
 | [NAME] | [PHONE]
 | Trumbull Public Schools | [PHONE]
 | Enfield BOE | [PHONE]
 | Stamford Public Schools | [PHONE]
 | MIT-HR dept | [PHONE]
 | [NAME] | [PHONE]
 | Other
 | Company | Number | Verfied | Notes | Work #
 | Metro North | [PHONE] Fax:[PHONE]
 | State of CT | [PHONE]
 | [NAME] | [PHONE] Cj Fax:[PHONE]
 | Coca-Cola | [PHONE]
 | ESPN | [PHONE]
 | NBC Sports | [PHONE]
 | D.O.D. | [PHONE]
 | State of NC | [PHONE]
 | Unilever | [PHONE]
 | Other company | 555
Spreadsheet: hunter_shively__12737__Houston Admins
Sheet: Sheet1

 | Netco Group | Region | Rank | Name | [NAME]
 | Houston Commercial Admins | Central Gas Trading | x | Villareal, [NAME] | [NAME]
 | Houston Commercial Admins | Fundys | x | Rybarski, [NAME] | [NAME] I
 | Houston Commercial Admins | Gas Trading | x | Hernandez, [NAME] | [NAME]
 | Houston Commercial Admins | Mexico | x | [NAME], [NAME] | ASSISTANT
 | Houston Commercial Admins | Structuring | x | Solis, [NAME] A | [NAME] I
1 | Houston Commercial Admins | West Gas Trading |  | Vuittonet, [NAME] | [NAME]
2 | Houston Commercial Admins | Central Gas Orig |  | Hogan, [NAME] | [NAME]
3 | Houston Commercial Admins | Derivatives |  | Young, Rebecca | [NAME]
4 | Houston Commercial Admins | Derivatives |  | Hillis-Humlicek, Kimberly | [NAME]
5 | Houston Commercial Admins | Leadership |  | Schoppe, [NAME] | [NAME]
6 | Houston Commercial Admins | Leadership |  | [NAME], [NAME] | [NAME]
7 | Houston Commercial Admins | Power Orig |  | [NAME], Tina S | [NAME]
8 | Houston Commercial Admins | Power Trading |  | Black, Tamara J | [NAME]
9 | Houston Commercial Admins | Power Trading |  | Guerra, Claudia | SR CLERK
10 | Houston Commercial Admins | Power Trading |  | Shoemake, [NAME] | SR CLERK
11 | Houston Commercial Admins | Weather |  | Moore, [NAME] | [NAME]
12 | Houston Commercial Admins | West Gas Trading |  | [NAME], Ina R | [NAME]