tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 738582d1625135018-extracting-overlapping-date-ranges-sample
Sheet: example

Pers.no. | Name Last Name | Start | End | Company
310 | [NAME] | 2016-01-01 00:00:00 | 2020-05-01 00:00:00 | A Tech
310 | [NAME] | 2016-02-01 00:00:00 | 2017-07-31 00:00:00 | A Tech
310 | [NAME] | 2017-08-01 00:00:00 | 2017-10-31 00:00:00 | A Tech
310 | [NAME] | 2017-11-01 00:00:00 | 2018-12-31 00:00:00 | A Tech
310 | [NAME] | 2019-01-01 00:00:00 | 2020-11-30 00:00:00 | A Tech
310 | [NAME] | 2020-12-01 00:00:00 | 2020-12-31 00:00:00 | A Tech
310 | [NAME] | 2021-01-01 00:00:00 | 9999-12-31 00:00:00 | A Tech
313 | [NAME] | 2015-07-01 00:00:00 | 2016-12-31 00:00:00 | B Tech
313 | [NAME] | 2016-01-01 00:00:00 | 2016-01-31 00:00:00 | B Tech
313 | [NAME] | 2016-02-01 00:00:00 | 2016-03-31 00:00:00 | B Tech
313 | [NAME] | 2016-04-01 00:00:00 | 2016-09-30 00:00:00 | B Tech
313 | [NAME] | 2017-02-01 00:00:00 | 2017-08-01 00:00:00 | C Tech
313 | [NAME] | 2017-07-01 00:00:00 | 2020-12-31 00:00:00 | C Tech
318 | PETE PACKETT | 2017-02-01 00:00:00 | 2017-01-31 00:00:00 | D Tech
318 | PETE PACKETT | 2017-02-01 00:00:00 | 2017-04-30 00:00:00 | D Tech
Spreadsheet: 752108d1634583680-auto-populate-information-from-one-tab-to-another-test-book_1
Sheet: Log Book

[NAME] | PROPERTY [NAME] | QTY | OFC USE | CODE | CODE / DOLLAR AMOUNT | TOTALS | LOG NUMBER | RECIPIENT
1TX | Books, Desk & Monitor | 3 | SALES | 55, 23, 99 | 55-$89; 23-$250; 99-$179.89 |  | R-TX-HOU-001 | Sales Office Houston, TX 77040
2TX | Printer & Paper | 1 | SUPPLY | 99, 09 | 99-$279.85; 09-$40 |  | R-TX-SUGAR-002 | Reception Office Sugarland, TX 77478
1TX | Table | 1 | PURCHASE | 15 | 15-$200 |  | R-TX-HOU-003 | Sales Office Houston, TX 77040
3TX | lights & buckets | 2 | EXPENDABLE | 30, 35 | 30-$45; 35-$23 |  | T-TX-KATY-004 | [NAME], TX 77493
Spreadsheet: 01ed928d-5fe4-486b-ad2f-e95a46266d9b
Sheet: ACRL2

ACRL Statistics Questions 15-26, 2010-2011
Question | Measure | Total FY11 | Notes
Question 15 | Are the below figures reported in Canadian dollars? | N | —
— | Total Library Materials Expenditures | — | —
Question 16a | Monographs | 327436 | —
Question 16b | Current serials, including periodicals | 2619365 | —
Question 16c | Other Library Materials | 321705 | Electronic serial back files and audiovisual materials
Question 16d | Miscellaneous | 0 | —
Question 16 | Total library materials: (a + b + c + d) |  | —
Question 17 | Contract binding | 15469 | —
Question 22 | One-time electronic resource purchases | 322554 | —
Question 23 | Ongoing electronic resource purchases (e.g. subscriptions, annual license fees) | 2470685 | —
Question 24 | Bibliographic Utilities, Networks, and Consortia | — | —
Question 24a | From internal library sources | 103936 | —
Question 24b | From external sources | NA/UA | —
Question 26 | Document Delivery / Interlibrary Loan | 19542.68 | Bibliographic utility fee only (Lyrasis)
Spreadsheet: mary_fischer__25616__34L
Sheet: E21.XLS 

ENRON CORP AND CONSOLIDATED SUBSIDIARIES
COMPANY # 034L
COMPANY NAME   Enron EES Acquisition I Corp
LEASE EXPENSE & FUTURE LEASE COMMITMENTS
FOR THE PERIOD ENDING 6-30-2001
PREPARED BY: [NAME]
EXTENSION: 52580 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | E-21
+++++INCLUDE all rentals (building, equipment, etc.) regardless of whether it is charged to "rent expense".
+++++EXCLUDE rent allocations from Corporate or other subsidiaries.
Lease Description |  |  |  | Year to Date |  |  |  |  |  | FUTURE LEASE COMMITMENT ( net of sublease , if applicable) |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Residual
Property Leased, Term, Lessor |  | *(C) |  | Gross |  | Less: |  | Net Rental |  | 1 Year Ended |  |  |  |  |  |  |  |  |  | 5 Years Ended |  |  |  |  |  | Total Remaining |  | Total |  | Value
*Indicate Capital (C) or Operating (O) Lease |  | or (O) |  | Rentals |  | Subrentals |  | Expense |  | 12-31-2002 |  | 12-31-2003 |  | 12-31-2004 |  | 12-31-2005 |  | 12-31-2006 |  | 12-31-2011 |  | 12-31-2016 |  | 12-31-2021 |  | after 12-31-2021 |  | Commitment |  | Guarantee
Individually list leases w/ an annual rent expense over $1 million.
 |  |  |  | 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 |  | 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 |  | 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 |  |  |  | 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 |  | 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 |  | 0 |  | 0 |  | 0 |  | 0
Other Leases under $1million per year |  |  |  | 0 |  | 0 |  |  |  | 0 |  | 0 |  | 0 |  | 0 |  | 0 |  | 0 |  | 0 |  | 0 |  | 0
Total
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | E-21
Spreadsheet: 7cc5a967-cbcc-496b-939e-d9974c6350c9
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Name | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9
 |  |  |  | Learner ID
 |  |  |  | School/College/University
Manufacturing: Health, Safety and Environmental Assurance
Career Pathway Plan of Study for ►Learners ►Parents ►Counselors ►Teachers/Faculty
This Career Pathway Plan of Study (based on the Health, Safety and Environmental Assurance Pathway of the Manufacturing Career Cluster) can serve as a guide, along with other career planning materials,
as learners continue on a career path. Courses listed within this plan are only recommended coursework and should be individualized to meet each learner’s educational and career goals. *This Plan of Study,
used for learners at an educational institution, should be customized with course titles and appropriate high school graduation requirements as well as college entrance requirements.
EDUCATION | LEVELS | GRADE | [NAME] | Math | Science | Social Studies/ Sciences | Other Required Courses Other Electives Recommended       Electives                         Learner Activities | *Career and Technical Courses                    and/ or Degree Major Courses for                   Health, Safety and Environmental Assurance Pathway | SAMPLE                                   Occupations Relating                            to This Pathway
 |  | Interest Inventory Administered and Plan of Study Initiated for all Learners
[NAME] |  | 9 |  |  |  |  |  |  | ►Environmental Engineer ►Environmental Specialist ►Health and Safety Representative ►Safety Coordinator ►Safety Engineer ►Safety Team Leader ►Safety Technician
 |  | 10
 |  | 11
 |  | College Placement Assessments-Academic/Career Advisement Provided
 |  | 12
 |  | Articulation/Dual Credit Transcripted-Postsecondary courses may be taken/moved to the secondary level for articulation/dual credit purposes.
POSTSECONDARY |  | Year 13
 |  | Year14
 |  | Year 15
 |  | Year 16
 |  |  |  |  |  | Project funded by the U.S. Department of Education (VO51B020001)
Spreadsheet: 822598d1679432493-filter-function-nested-if-multi-better-simpler-expression-combobox-filter-isnumber-independent-4-combo-az-
Sheet: SEARCH AZ

MAKE | MODEL | FUEL | TYPE | SEARCH < COMBO |  |  | DESIGN: HOW TO INSTRUCTIONS (EXCEL 2021 / 365)
 | CIV |  |  |  |  |  | DESC | TAB | CELL | FORMULA  / INSTRUCTIONS
 |  |  |  |  |  |  | DYN TABLE | DATA |  | SELECT DATA: INSERT > TABLE
 |  |  |  |  |  |  | UNIQUE | DATA | H2 | =IFERROR(INDEX(TableDiv[MAKE],MATCH(0,INDEX(COUNTIF($H$1:H1,TableDiv[MAKE]),),0)),"")
 |  |  |  |  |  |  | COL A DV:  MAKE | DATA | J2 | =SORT(UNIQUE(FILTER(TableDiv[MAKE],ISNUMBER(SEARCH(_MODEL,TableDiv[MODEL])+SEARCH(_FUEL,TableDiv[FUEL])+SEARCH(_TYPE,TableDiv[TYPE])))))
 |  |  |  |  |  |  | COL B DV: MODEL | DATA | K2 | =SORT(UNIQUE(FILTER(TableDiv[MODEL],ISNUMBER(SEARCH(_MAKE,TableDiv[MAKE])+SEARCH(_FUEL,TableDiv[FUEL])+SEARCH(_TYPE,TableDiv[TYPE])))))
 |  |  |  |  |  |  | COL C DV: FUEL | DATA | L2 | =SORT(UNIQUE(FILTER(TableDiv[FUEL],ISNUMBER(SEARCH(_MAKE,TableDiv[MAKE])+SEARCH(_MODEL,TableDiv[MODEL])+SEARCH(_TYPE,TableDiv[TYPE])))))
SEARCH RESULTS
MAKE | MODEL | FUEL | TYPE | Desc | IG |  | COL D DV: TYPE | DATA | M2 | =SORT(UNIQUE(FILTER(TableDiv[TYPE],ISNUMBER(SEARCH(_MAKE,TableDiv[MAKE])+SEARCH(_MODEL,TableDiv[MODEL])+SEARCH(_FUEL,TableDiv[FUEL])))))
 | Civic | DIESEL | CDTi | Great | 10
Honda | Civic | DIESEL | CDTi | Excellent | 10 |  | COMBO A SRCH | SRCH | A2 | DATA > DATA VALIDATION > LIST:   =DATA!J2#                               NOTE: PART WORD SEARCH
Honda | Civic | PETROL | Type R | [NAME] | 13 |  | COMBO B SRCH | SRCH | B2 | DATA > DATA VALIDATION > LIST:   =DATA!K2#                               NOTE: PART WORD SEARCH
 |  |  |  |  |  |  | COMBO C SRCH | SRCH | C2 | DATA > DATA VALIDATION > LIST:   =DATA!L2#                               NOTE: PART WORD SEARCH
 |  |  |  |  |  |  | COMBO D SRCH | SRCH | D2 | DATA > DATA VALIDATION > LIST:   =DATA!M2#                             NOTE: PART WORD SEARCH
 |  |  |  |  |  |  | SRCH DYN 4 COMBO | A12 |  | =SORT(FILTER(TableDiv,ISNUMBER(SEARCH(_MAKE,TableDiv[MAKE]) +SEARCH(_MODEL,TableDiv[MODEL]) +SEARCH(_FUEL,TableDiv[FUEL]) +SEARCH(_TYPE,TableDiv[TYPE]))),{1,2,3,4})
 |  |  |  |  |  |  | BLANK NO ZERO | DATA | AV:BA | SELECT BLANK CRITERIA RESULTS: FORMAT CELLS > CUSTOM: 0;-0;;@
 |  |  |  |  |  |  | _MAKE | SRCH | A2 | FORMULA  > NAME MNG: ='SEARCH AZ'!$A$2
 |  |  |  |  |  |  | _MODEL | SRCH | B2 | FORMULA  > NAME MNG: ='SEARCH AZ'!$B$2
 |  |  |  |  |  |  | _FUEL | SRCH | C2 | FORMULA  > NAME MNG: ='SEARCH AZ'!$C$2
 |  |  |  |  |  |  | _TYPE | SRCH | D2 | FORMULA  > NAME MNG: ='SEARCH AZ'!$D$2
Spreadsheet: 874195d1720760649-sum-calls-if-date-matches-identifier-more-than-once-wickedmouse-sum-aligw
Sheet: Sheet1

20 | 4 | 2023Q2 |  |  | 3 | 2024Q2
20 | 2 | 2023Q3 |  | 21 | 8 | 2025Q1
20 | 4 | 2023Q4
20 | 1 | 2023Q1
20 | 2 | 2024Q1
20 | 1 | 2024Q2
20 | 2 | 2024Q2
21 | 5 | 2025Q1
21 | 3 | 2025Q1
Spreadsheet: 784600d1655846105-filter-by-several-values-filter-by-value
Sheet: DATA

From here we read the data. |  |  | These serials contains at least one of the looking codes
Serial number | Codes |  | Serial number | Column1 | The look up values are these
NL17011072 | NESTC03 - Other Complaint |  | NL16264216
NL16292014 | NESTC10 - Battery Issue |  | NL17227332 |  | Codes
NL16292014 | [NAME] |  | N018106166 |  | NESTC13 - Front Housing Issue
NL16264216 | NESTC03 - Other Complaint |  |  |  | NESTC14 - Rear housing
NL16264216 | [NAME] |  |  |  | [NAME]
NL16264216 | NESTC13 - Front Housing Issue
NL17227332 | NESTC06 - Error Code Issue
NL17227332 | [NAME]
N018129146 | NESTC03 - Other Complaint
NL17212292 | NESTC06 - Error Code Issue
N018106166 | NESTC06 - Error Code Issue
N018106166 | [NAME]
N018106166 | NESTC14 - Rear housing
Spreadsheet: 57468d1257635743-excel-2007-excel-2007-chart-horizontal-axis-dates-vanessa-tucker-work-sample2
Sheet: calc field

Product | (All)
Country | (All)
 | Values
Row Labels | Sum of Var | Sum of Budget | Sum of Revenue | Sum of Revenue2 | Sum of Var percentage of Budget
January | -4297 | 91831 | 87534 | 0.0852926789817184 | -0.04679247748581634
February | 2843 | 87534 | 90377 | 0.08806288354617364 | 0.03247880823451459
March | -1389 | 90377 | 88988 | 0.08670944909663854 | -0.01536895449063368
April | -2774 | 87756 | 84982 | 0.0828060233192176 | -0.03161037421942659
May | -423 | 84982 | 84559 | 0.08239385429678898 | -0.004977524652279307
June | -548 | 84559 | 84011 | 0.08185988591785072 | -0.006480682127272082
July | 2366 | 84011 | 86377 | 0.08416530413786517 | 0.02816297865755675
August | -2843 | 86377 | 83534 | 0.08139509957340993 | -0.03291385438253239
September | 1389 | 83534 | 84923 | 0.08274853402294505 | 0.01662795987262672
October | -4318 | 84923 | 80605 | 0.07854109705167606 | -0.05084606054896789
November | 3406 | 80605 | 84011 | 0.08185988591785072 | 0.04225544321071894
December | 2366 | 84011 | 86377 | 0.08416530413786517 | 0.02816297865755675
Grand Total | -4222 | 1030500 | 1026278 | 1 | -0.004097040271712761
Spreadsheet: 125565d1319105287-multiple-rows-display-extract-rows
Sheet: Sheet1

Subject 1 | Subject 2 |  |  | 3 | input
1 | 2 |  |  | row#
2 | 3
4 | 1
2 | 5
0 | 4
3 | 2
5 | 0
4 | 3
1 | 3
3 | 4
5 | 5 |  |  | Note: formate cell  as 0;;;@
2 | 3
1 | 2
4 | 3
3 | 4
1 | 1
2 | 5
 | and so on…
Spreadsheet: 795002d1662459416-formula-for-sumup-of-data-based-on-wildcard-criteria-masterfile-ihhn-flood-relief-2022-data
Sheet: District Wise Consolidation

S.No |  | Sindh |  |  |  |  |  |  | Punjab |  |  | Baluchistan |  |  | KPK
1 | Description | Karachi | [NAME] | Thatta | Sujawal | Sanghar |  |  | Rajanpur |  |  | Lasbella | Khuzdar |  | Tank | Dikhan | Nowshera
2 | District
3 | UC Name
4 | Affected Population in the Camp Area
5 | Total Number of Camps
 | Total Number of Patients Treated
 | [NAME]
 | [NAME]
 | Less than 5 Male
6 | Less than 5 Female
7 | Nature of Intervention
 | Diseases Treated
 | Diarrhea
 | Acute Respiratory Infection (ARI)
 | Gastroenteritis
 | Skin Infections
 | Malaria
 | UTI
8 | Others
9 | Specific Outbreaks
10 | Number of CEC Sessions
 | Number of Critical Kits Distributed
 | Household Items/Hygiene Kits
 | Food
 | Clothing
11 | Shelter
12 | Planned Upcoming Activities
 | Laboratory Tests
 | CBC
 | Lab Test
 | Chemistry Test
 | Glucose by [NAME]
 | Malaria test
Spreadsheet: 808189d1670339631-showing-blank-cell-when-result-is-00-00-calcolo-ore-copy
Sheet: Calcolo

 |  |  | Mese: | October |  | [NAME] | 8.89
 |  |  | Anno: | 2022 |  |  |  |  |  |  |  | January
 |  |  |  |  |  |  |  |  |  |  |  | February
 |  | Data | Giorno | Inizio | Fine | Straordinario | Totale |  |  |  |  | March
 |  |  |  |  |  |  |  |  |  |  |  | April
 |  | 2022-10-02 00:00:00 |  |  |  |  |  |  |  |  |  | May
 |  | 2022-10-03 00:00:00 |  |  |  |  |  |  |  |  |  | June
 |  | 2022-10-04 00:00:00 |  | 09:00:00 | 18:00:00 |  |  |  |  |  |  | July
 |  | 2022-10-05 00:00:00 |  | 09:00:00 | 18:00:00 |  |  |  |  |  |  | August
 |  | 2022-10-06 00:00:00 |  | 09:00:00 | 19:30:00 |  |  |  |  |  |  | September
 |  | 2022-10-07 00:00:00 |  | 09:20:00 | 18:00:00 |  |  |  |  |  |  | October
 |  | 2022-10-08 00:00:00 |  |  |  |  |  |  |  |  |  | November
 |  | 2022-10-09 00:00:00 |  |  |  |  |  |  |  |  |  | December
 |  | 2022-10-10 00:00:00 |  | 14:00:00 | 20:00:00
 |  | 2022-10-11 00:00:00 |  | 09:00:00 | 18:20:00
 |  | 2022-10-12 00:00:00 |  | 09:00:00 | 18:15:00
 |  | 2022-10-13 00:00:00 |  | 09:00:00 | 16:30:00
 |  | 2022-10-14 00:00:00 |  | 09:30:00 | 18:00:00
 |  | 2022-10-15 00:00:00
 |  | 2022-10-16 00:00:00
 |  | 2022-10-17 00:00:00 |  | 09:20:00 | 18:30:00
 |  | 2022-10-18 00:00:00 |  | 09:00:00 | 18:00:00
 |  | 2022-10-19 00:00:00 |  | 09:20:00 | 18:00:00
 |  | 2022-10-20 00:00:00 |  | 09:00:00 | 18:00:00
 |  | 2022-10-21 00:00:00
 |  | 2022-10-22 00:00:00
 |  | 2022-10-23 00:00:00
 |  | 2022-10-24 00:00:00 |  | 10:00:00 | 18:00:00
 |  | 2022-10-25 00:00:00
 |  | 2022-10-26 00:00:00
 |  | 2022-10-27 00:00:00
 |  | 2022-10-28 00:00:00
 |  | 2022-10-29 00:00:00
 |  | 2022-10-30 00:00:00
 |  | 2022-10-31 00:00:00
Spreadsheet: 0d46ae36-d938-4984-bf41-4d35d9a7e300
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
 | 5671.0 Lending Finance, Australia
 | TABLE 40. OPERATING LEASE FINANCE COMMITMENTS: By Lender: Australia, Original ($000)
Related Information: | Summary Publication | Explanatory Notes | Inquiries
 | Glossary
Data Item Description |  |  | Series Type | Series ID | Series Start | Series End | No. Obs. | Unit | Data Type | [NAME]. | Collection Month
Banks ; |  |  | Original | A2413831L | 1985-01-01 00:00:00 | 2012-02-01 00:00:00 | 326 | $'000 | FLOW | Month | 1
Finance Companies ; |  |  | Original | A2413832R | 1985-01-01 00:00:00 | 2012-02-01 00:00:00 | 326 | $'000 | FLOW | Month | 1
General Financiers ; |  |  | Original | A2413833T | 1985-01-01 00:00:00 | 2012-02-01 00:00:00 | 326 | $'000 | FLOW | Month | 1
Other Lessors ; |  |  | Original | A2413834V | 1985-01-01 00:00:00 | 2012-02-01 00:00:00 | 326 | $'000 | FLOW | Month | 1
TOTAL OPERATING LEASE FINANCE ; |  |  | Original | A2413835W | 1985-01-01 00:00:00 | 2012-02-01 00:00:00 | 326 | $'000 | FLOW | Month | 1
© Commonwealth of Australia  2012
Spreadsheet: 553210d1514038365-multiple-columns-info-transposed-in-multiple-rows-alexxl-sales-1
Sheet: Data to be transformed

[NAME] | Data borderou | Cod furnizor(ZW) | [NAME]) | Nr Comanda | Nume Client/pers fizica/firma | Localitate | [NAME] | Adresa | Telefon | Data Livrarii | [NAME] | Observatii | Nr bucati produs | Pret total | Valoare transport | TOTAL ramburs | Telefon statie
 |  |  | In this row I show you the collumns  origins of the data from sheet DATA |  | F | AQ | AP | AO | G | AR |  |  | I | vlokup on costs | BL | BM | BP
1206 | 23/12/2017 | 4011002724 |  | 1 | Turcu | Cluj-Napoca | Cluj | Str.:r ,Nr.:109 ,Bl.:16 ,Sc.:3 ,Ap.:66 |  |  |  |  | 1 |  | 28.98 |  | 213111199
1206 | 23/12/2017 | 4011002724 |  | 1 | Turcu | Cluj-Napoca | Cluj | Str.:r ,Nr.:109 ,Bl.:16 ,Sc.:3 ,Ap.:66 |  |  |  |  | 1
1206 | 23/12/2017 | 4011002724 |  | 1 | Turcu | Cluj-Napoca | Cluj | Str.:r ,Nr.:109 ,Bl.:16 ,Sc.:3 ,Ap.:66 |  |  |  |  | 1
1206 | 23/12/2017 | 4011002724 |  | 2 | Elena | Talmaciu | [NAME] | Str.: ,Nr.:FN ,Bl.:12 , |  |  |  |  | 1 |  | 28.98 |  | 213111199
1206 | 23/12/2017 | 4011002724 |  | 2 | Elena | Talmaciu | [NAME] | Str.: ,Nr.:FN ,Bl.:12 , |  |  |  |  | 1
Spreadsheet: phillip_platter__31373__ca0912EES
Sheet: Checklist

 | CHECKLIST |  |  | DONE |  | SOURCE
 | PX TRADE APP |  |  | X
 | CUST [NAME] |  |  |  |  | O:PORTLAND/WESTDESK/CALIFORNIA SCHEDULING/CUST DAY AHEAD LOADS/
 | EES POSITION
 | EES BILATS |  |  | x
 | PX Blck Fwd Bid
 | BFMNP15L |  |  | X
 | PX Blck Fwd Bid
 | BFMSP15L |  |  | X
 | PX Blck Fwd Bid
 | BFMSP15S
 | EPMI SC SERVICE
 | CRC |  |  | X
 | PNM |  |  | X
 | MEGA |  |  | X |  |  |  |  |  |  |  |  |  |  | off
 | [NAME] (SW SHORTS) |  |  |  |  | they do their own now
 | WWP(nwlongs)
 | [NAME] (NP15 LONGS)
 | NW IMPORTS |  |  | x
 | FTR'S
 | SW IMPORTS
 | GEN |  |  | X
 | DAILY TRADES |  |  | X
 | Offsets ([NAME],STNW changes) |  |  | X |  | Offsets put in Today,  [NAME]: 20 mw RTC , Tosco: 20 , Arco 29 & Wheelbrator
 | BALANCE TO PX
 | BUILD& SEND BIDS |  |  | x
 | BUILD & SEND SPEC BIDS |  |  | x
 | AUCTION RESULTS
 | SEND IPS
 | SEND ADJ BIDS
 | A/S BIDS ENTERED IN CAPS
 | - GLENDALE
 | - PLAINS
 | - PUGET
 | BUILD AND TIE CAPS
 | SEND TO ISO
 | SUBMIT FTR'S
 | MANAGE CONGESTION
 | LOAD FINAL SCHEDULES
 | SEND A/S SCHEDULES&TAGS
 | SEND EPE SCHEDULES
 | ENPOWER TO CAPS
 | POST PRICES
 | RUN ST CAL BOOK
Spreadsheet: 9c48e7dc-4aab-4e64-ba97-eb5e6b20af74
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 | Unnamed: 12 | Unnamed: 13 | Unnamed: 14 | Unnamed: 15 | Unnamed: 16 | Unnamed: 17 | Unnamed: 18 | Unnamed: 19 | Unnamed: 20 | Unnamed: 21 | Unnamed: 22 | Unnamed: 23 | Unnamed: 24 | Unnamed: 25 | Unnamed: 26 | Unnamed: 27 | Unnamed: 28 | Unnamed: 29 | Unnamed: 30 | Unnamed: 31 | Unnamed: 32 | Unnamed: 33 | Unnamed: 34 | Unnamed: 35 | Unnamed: 36 | Unnamed: 37 | Unnamed: 38 | Unnamed: 39 | Unnamed: 40
HOJA DE INSCRIPCIÓN
EQUIPOS LIGAS NACIONALES
TEMPORADA 2012/2013
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | NO
 | [NAME]: |  |  |  |  | 0 |  |  |  |  |  |  | [NAME]: |  |  |  | 0 |  |  |  |  |  |  |  |  |  |  | RENUNCIA:
SÓLO HAY QUE PONER EL NÚMERO DE EQUIPO. Este número se obtiene del listado de equipos de la web
El resto de datos si disponemos de ellos saldrán automaticos. [NAME] o incluir lo que sea necesario.
 | DATOS EQUIPO
 | NOMBRE OFICIAL:
 | NOMBRE COMERCIAL:
 | NOMBRE CORTO:
 | DOMICILIO:
 | POBLACIÓN: |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | TELÉFONO: |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | CODIGO POSTAL:
 | PROVINCIA: |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | FAX:
 | LOCAL DE JUEGO
 | NOMBRE:
 | DOMICILIO:
 | POBLACIÓN: |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | TELÉFONO: |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | CODIGO POSTAL:
 | PROVINCIA: |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | FAX:
 | RESPONSABLE
 | NOMBRE: |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | TELÉFONO MÓVIL:
 | EMAIL:
 | MATERIAL
 | MESA |  |  | MARCA: |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | MODELO: |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | COLOR:
 | PELOTA |  |  |  | MARCA: |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | COLOR:
 | CAMISETA |  |  |  |  | 1ª EQUIPACION COLOR: |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2ª EQ. COLOR:
 | COMPETICIÓN
 | DÍA PREFERIDO: |  |  |  |  |  |  |  |  |  |  |  |  |  |  | HORARIO SÁBADO: |  |  |  |  |  |  |  |  |  |  |  |  | HORARIO DOMINGO:
 | DESPLAZAMIENTO DOBLE: |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Con un si , acepta que se le pongán dobles desplazamientos.
 | ASCENSO POR RENUNCIAS
 | SOLICITO ASCENDER A LA CATEGORÍA SUPERIOR SI HUBIERA RENUNCIAS:
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | [NAME] , esta casilla es [NAME], [NAME]
 | OBSERVACIONES: |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | blanco supondría formulario no válido.
 | ENVIADO POR:
 |  |  |  |  |  |  |  | [NAME] que ha rellenado el formulario.