tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 816025d1675319597-formula-to-list-names-for-specific-date-book2
Sheet: Sheet1

2023 | Bitrh Date | Month | Day | Age | Name & Surname |  | 2023-02-13 00:00:00
 | 2022-01-03 00:00:00 |  |  |  | Name Surname 01 |  | Name Surname 03
 | 2004-05-30 00:00:00 |  |  |  | Name Surname 02 |  | Name Surname 23
 | 2007-02-13 00:00:00 |  |  |  | Name Surname 03
 | 1981-07-07 00:00:00 |  |  |  | Name Surname 04
 | 1976-06-24 00:00:00 |  |  |  | Name Surname 05
 | 2004-06-08 00:00:00 |  |  |  | Name Surname 06
 | 2015-08-21 00:00:00 |  |  |  | Name Surname 07
 | 1987-01-12 00:00:00 |  |  |  | Name Surname 08
 | 1985-06-11 00:00:00 |  |  |  | Name Surname 09
 | 2020-11-19 00:00:00 |  |  |  | Name Surname 10
 | 2012-10-28 00:00:00 |  |  |  | Name Surname 11
 | 2002-06-20 00:00:00 |  |  |  | Name Surname 12
 | 2017-04-08 00:00:00 |  |  |  | Name Surname 13
 | 1987-02-05 00:00:00 |  |  |  | Name Surname 14
 | 2015-07-13 00:00:00 |  |  |  | Name Surname 15
 | 1959-03-02 00:00:00 |  |  |  | Name Surname 16
 | 1964-11-13 00:00:00 |  |  |  | Name Surname 17
 | 1985-10-22 00:00:00 |  |  |  | Name Surname 18
 | 1998-01-16 00:00:00 |  |  |  | Name Surname 19
 | 1963-06-29 00:00:00 |  |  |  | Name Surname 20
 | 1971-05-15 00:00:00 |  |  |  | Name Surname 21
 | 1939-12-19 00:00:00 |  |  |  | Name Surname 22
 | 2013-02-13 00:00:00 |  |  |  | Name Surname 23
 | 1996-04-25 00:00:00 |  |  |  | Name Surname 24
 | 2019-08-30 00:00:00 |  |  |  | Name Surname 25
 | 1960-12-27 00:00:00 |  |  |  | Name Surname 26
 | 1962-07-18 00:00:00 |  |  |  | Name Surname 27
 | 2021-05-27 00:00:00 |  |  |  | Name Surname 28
 | 1988-10-26 00:00:00 |  |  |  | Name Surname 29
 | 1981-06-12 00:00:00 |  |  |  | Name Surname 30
 | 2001-04-18 00:00:00 |  |  |  | Name Surname 31
 | 2005-10-24 00:00:00 |  |  |  | Name Surname 32
 | 2021-04-21 00:00:00 |  |  |  | Name Surname 33
 | 2018-02-26 00:00:00 |  |  |  | Name Surname 34
 | 1973-01-14 00:00:00 |  |  |  | Name Surname 35
 | 1992-07-28 00:00:00 |  |  |  | Name Surname 36
 | 1968-06-13 00:00:00 |  |  |  | Name Surname 37
 | 2016-06-01 00:00:00 |  |  |  | Name Surname 38
 | 2015-03-03 00:00:00 |  |  |  | Name Surname 39
 | 1993-05-07 00:00:00 |  |  |  | Name Surname 40
 | 1994-05-20 00:00:00 |  |  |  | Name Surname 41
 | 1977-07-08 00:00:00 |  |  |  | Name Surname 42
 | 1982-07-22 00:00:00 |  |  |  | Name Surname 43
 | 1987-04-13 00:00:00 |  |  |  | Name Surname 44
 | 1990-09-04 00:00:00 |  |  |  | Name Surname 45
 | 1995-12-06 00:00:00 |  |  |  | Name Surname 46
 | 1998-01-21 00:00:00 |  |  |  | Name Surname 47
 | 1973-03-10 00:00:00 |  |  |  | Name Surname 48
 | 1978-05-26 00:00:00 |  |  |  | Name Surname 49
Spreadsheet: 807888d1670134853-calling-data-from-main-sheet-g6-ver-256
Sheet: PERCENTAGE PERFORMANCE

HALMASHAURI YA WILAYA [NAME]
MATOKEO YA MTIHANI WA KUMALIZA MUHULA WA PILI DARASA LA TANO NOVEMBA, 2022
D. SCHOOL POSITION BY CONSIDERING PERCENTAGE PASSED
NA | SCHOOL | WARD | SAT |  |  | PASSED |  |  | A |  |  | B |  |  | C |  |  | % PASSED | SCHOOL AVERAGE | D |  |  | E |  |  | % FAILED | SCHOOL POSITION
 |  |  | M | F | TOTAL | M | F | TOTAL | M | F | TOTAL | M | F | TOTAL | M | F | TOTAL |  |  | M | F | TOTAL | M | F | TOTAL
Spreadsheet: 868234d1714981536-tier-incentive-will-be-automatically-calculated-based-on-tier-doctors-calculation-april-2024-allan-sampling-of-doing-formula-copy-1-aligw
Sheet: Dr. Nedhal Ayoub

Contract Terms (*)
 |  | Description | Commission
 |  | Refferal | 0.1
 |  | Consultation (After deducting OHE 5%) | 0.5
 |  | Procedure in the Clinic (After deducting material consumables such as Botox & Filler and OHE 5%) | 0.5
 |  | OR in the Clinic (From gross after deducting OHE 5%) | 0.42
Doctor Calculation
 |  | LAB Refferal Revenue | 0
 |  | Amount to be paid
 |  | Doctor Consultation Revenue | 0
 |  | OHE (5%)
 |  | Net Consultation Revenue
 |  | Amount to be paid
 |  | Procedure in the Clinics Revenue | 0
 |  | Consumables
 |  | [NAME] fee 5%
 |  | Net Revenue
 |  | Amount to be paid
 |  | OR in the Clinic Doctor Revenue | 0
 |  | OHE (5%)
 |  | Net OR in the Clinic Doctor Revenue
 |  | Amount to be paid
 |  | Total Amount to be Paid
Prepared By …................. |  |  | Sr. Finance Manager |  | .......................
 |  |  |  |  |  | Operations Report on April - 2019
 |  |  |  |  |  | # | Day/Date | Time | Patient Name and file number |  | [NAME] | Price | Surgeon | Anesthesia
 |  |  |  |  |  | 20 | 2019-04-17 00:00:00 | At 3:15 pm he tooks          3 hrs & 54 mins | [NAME] |  | Vaser Liposuction abdomen and flanks | 15000 | Dr Nedhal Ayoub | GA | 3000+2000+2000+2000
 |  |  |  |  |  | 28 | 2019-04-27 00:00:00 | At 3:30 pm he tooks          1 hr & 48 mins | [NAME] 10050540 |  | Vaser lipo falanks and fat injection | 4500 | Dr Nedhal Ayoub | GA | 3000+2000
Spreadsheet: 84748d1284746155-generate-random-of-days-based-on-other-criteria-book1
Sheet: Sheet1

 | # of Deposits | 30
 | Image Sample Size | 15
 | Dates: | 2010-08-01 00:00:00 | 2010-08-30 00:00:00
 | Review Dates: | 2010-08-03 00:00:00
 |  | 2010-08-05 00:00:00
 |  | 2010-08-07 00:00:00
 |  | 2010-08-09 00:00:00
 |  | 2010-08-10 00:00:00
 |  | 2010-08-12 00:00:00
 |  | 2010-08-16 00:00:00
 |  | 2010-08-17 00:00:00
 |  | 2010-08-20 00:00:00
 |  | 2010-08-23 00:00:00
 |  | 2010-08-24 00:00:00
 |  | 2010-08-25 00:00:00
 |  | 2010-08-28 00:00:00
 |  | 2010-08-30 00:00:00
 |  | 2010-08-31 00:00:00
Spreadsheet: 850372d1700731478-optimize-consecutive-formula-for-integer-numbers-consecutive-integer-numbers
Sheet: Sheet1

Reward | AGGREGATE
NO
2
4
NO
NO
NO
2
NO
NO
4
2
3
2
2
NO
Spreadsheet: 774848d1648685774-filling-blank-cells-question-book1
Sheet: Sheet1

Data | A | B
2022-01-01 00:00:00 | 15 | 15
2022-01-02 00:00:00 |  | 15
2022-01-03 00:00:00 |  | 15
2022-01-04 00:00:00 |  | 15
2022-01-05 00:00:00 |  | 15
2022-01-06 00:00:00 |  | 15
2022-01-07 00:00:00 |  | 27
2022-01-08 00:00:00 |  | 27
2022-01-09 00:00:00 |  | 27
2022-01-10 00:00:00 |  | 27
2022-01-11 00:00:00 |  | 27
2022-01-12 00:00:00 |  | 27
2022-01-13 00:00:00 | 27 | 27
2022-01-14 00:00:00 |  | 27
2022-01-15 00:00:00 |  | 27
2022-01-16 00:00:00 |  | 27
2022-01-17 00:00:00 |  | 27
2022-01-18 00:00:00 |  | 27
2022-01-19 00:00:00 |  | 45
2022-01-20 00:00:00 |  | 45
2022-01-21 00:00:00 |  | 45
2022-01-22 00:00:00 |  | 45
2022-01-23 00:00:00 |  | 45
2022-01-24 00:00:00 | 45 | 45
2022-01-25 00:00:00 |  | 45
2022-01-26 00:00:00 |  | 45
2022-01-27 00:00:00 |  | 45
2022-01-28 00:00:00 |  | 36
2022-01-29 00:00:00 |  | 36
2022-01-30 00:00:00 | 36 | 36
Spreadsheet: 887416d1737651691-get-data-from-one-sheet-and-make-a-weekly-timesheet-test-1-
Sheet: SHEET 2

 | 2025-01-20 00:00:00
 | MONDAY |  | TUESDAY |  | Wednesday |  | THURDAY |  | FRIDAY |  | SATURDAY |  | SUNDAY
 | IN | OUT | IN | OUT | IN | OUT | IN | OUT | IN | OUT | IN | OUT | IN | OUT
PERSON 2
PERSON 3
Spreadsheet: 00efcc58-10a9-4c4f-b410-689471b48194
Sheet: Sheet1

TECHNICAL SERVICES DEPARTMENT | 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
Serials Statistics 2010/2011
COLLECTION METRICS
 | JUL | AUG | SEP | OCT | NOV | DEC | JAN | FEB | MAR | APR | MAY | JUN | YTD
Serial volumes withdrawn | 14 | 21 | 1 | 0 | 1 | 0 | 2 | 1 | 0 | 0 | 0 | 19 | 59
Serials volumes withdrawn through large weeding projects | 5418 | 15577 | 3048 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 24043
Mform pieces withdrawn | 0 | 608 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 608
Serial volumes added (total) | 145 | 164 | 157 | 176 | 32 | 76 | 112 | 171 | 97 | 103 | 162 | 225 | 1620
Subscriptions | 12 | 6 | 13 | 11 | 12 | 5 | 7 | 6 | 11 | 9 | 4 | 5 | 101
Binding | 133 | 148 | 144 | 165 | 20 | 71 | 105 | 165 | 86 | 94 | 158 | 220 | 1509
Gifts | 0 | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10
Mform pieces added (total) | 2 | 0 | 3 | 3 | 2 | 4 | 5 | 2 | 3 | 3 | 2 | 2 | 34
Film | 2 | 0 | 3 | 3 | 2 | 4 | 8 | 2 | 3 | 3 | 2 | 2 | 34
Fiche | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
PRODUCTIVITY METRICS
[NAME] processed | 2428 | 2257 | 1984 | 1189 | 969 | 1473 | 1044 | 1801 | 1526 | 2296 | 1293 | 1388 | 19648
[NAME] temp bound / bound in-house | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 56 | 18 | 0 | 74
[NAME] mended (in-house) | 10 | 15 | 6 | 14 | 5 | 2 | 6 | 29 | 5 | 6 | 9 | 15 | 122
Claims sent | 57 | 17 | 12 | 27 | 35 | 18 | 10 | 17 | 26 | 22 | 22 | 42 | 305
Pieces checked in | 421 | 486 | 418 | 456 | 503 | 413 | 401 | 377 | 542 | 411 | 484 | 359 | 5271
 | 0
[NAME] returned from bindery (total) | 151 | 245 | 215 | 210 | 54 | 183 | 111 | 289 | 186 | 110 | 205 | 304 | 2263
Journals and other materials | 133 | 148 | 144 | 165 | 20 | 71 | 105 | 165 | 86 | 94 | 158 | 220 | 1509
Repairs | 18 | 54 | 46 | 45 | 31 | 100 | 0 | 105 | 74 | 16 | 30 | 57 | 576
Non-Library | 0 | 43 | 25 | 0 | 3 | 12 | 6 | 19 | 26 | 0 | 17 | 27 | 178
For definitions, see http://uritechserv.pbworks.com/Serials-statistics-terms.
Spreadsheet: 599071d1542845620-looking-for-dashboard-dashboard_cd
Sheet: Dashboard

Employee in WD | Name | Exists in WD? | Exists in AD? | Status
Spreadsheet: 872405d1718800066-pivot-table-filed-setting-subtotal-and-filter-onlistxlandpivot
Sheet: Nont Pivot

 |  |  |  |  |  |  |  |  | On list |  | Not on list
 |  |  | ItemL |  | Name | Item |  |  |  | Item |  | Item
 |  |  | A |  | [NAME] | A |  |  | [NAME] | A | [NAME] | E
 |  |  | B |  | [NAME] | B |  |  | [NAME] | D | [NAME] | F
 |  |  | C |  | [NAME] | C |  |  | [NAME] | C | [NAME] | G
 |  |  | D |  | [NAME] | D |  |  | [NAME] | B | [NAME] | A
 |  |  | E |  | [NAME] | D |  |  | [NAME] | B | [NAME] | E
 |  |  | F |  | [NAME] | D |  |  | [NAME] | D | [NAME] | F
 |  |  | G |  | [NAME] | A |  |  | [NAME] | C | [NAME] | G
 |  |  |  |  | [NAME] | B |  |  | [NAME] | C | [NAME] | E
 |  |  |  |  | [NAME] | C |  |  | [NAME] | A | [NAME] | F
 |  |  |  |  | [NAME] | C |  |  | [NAME] | B | [NAME] | G
 |  |  |  |  | [NAME] | D |  |  | [NAME] | D | [NAME] | B
 |  |  |  |  | [NAME] | D |  |  | [NAME] | D | [NAME] | E
 |  |  |  |  | [NAME] | A |  |  | [NAME] | C | [NAME] | F
 |  |  |  |  | [NAME] | D |  |  | [NAME] | A | [NAME] | G
 |  |  |  |  | [NAME] | B
 |  |  |  |  | [NAME] | B
 |  |  |  |  | [NAME] | C
 |  |  |  |  | [NAME] | D
 |  |  |  |  | [NAME] | A
 |  |  |  |  | [NAME] | B
 |  |  |  |  | [NAME] | C
 |  |  |  |  | [NAME] | C
 |  |  |  |  | [NAME] | A
Spreadsheet: 469477d1467932178-help-with-drop-down-template
Sheet: Training Log

 |  | TRAINING LOG
 |  | DATE OF TRAINING | NAME | COURSE | INSTRUCTOR | TAKEN | PASS/FAIL | NOTES
 |  | 2012-06-01 00:00:00 | [NAME] | Employee Introduction | #N/A | Yes | Pass | Excellent instructor.
 |  | 2012-06-02 00:00:00 | [NAME] | Employee Introduction | #N/A | Yes | Fail | Had to leave early, not able to complete.
 |  | 2012-06-03 00:00:00 | [NAME] | Employee Introduction | #N/A | Yes | Pass | Final offering this quarter.
 |  | 2012-06-03 00:00:00 | [NAME] | Employee Introduction | #N/A | Yes | Pass | Final offering this quarter.
 |  | 2012-06-04 00:00:00 | [NAME] | Employee Operations | #N/A | Yes | Pass | Initial offering for this quarter
 |  | 2012-06-04 00:00:00 | [NAME] | Employee Operations | #N/A | Yes | Pass | Initial offering for this quarter
 |  | 2012-06-04 00:00:00 | [NAME] | Intermediate Accounting | #N/A | Yes | Pass | Closed audience only.
 |  | 2012-06-04 00:00:00 | [NAME] | Employee Operations | #N/A | Yes | Pass | Initial offering for this quarter
 |  | 2012-06-05 00:00:00 | [NAME] | Intermediate Accounting | #N/A | No | Future | Not taken yet.
 |  | 2012-06-05 00:00:00 | [NAME] | Advanced Accounting | #N/A | No | Future | Not taken yet.
 |  |  |  |  | #N/A
Spreadsheet: 288e4882-eab3-434c-85b0-dd327942d908
Sheet: Todo (10)

 | TO DO LIST
 | Name : | [NAME] 10
 | Progress
 | No | To Do | Status
 | 1 | To Do 1 | Done
 | 2 | To Do 2 | Done
 | 3 | To Do 3 | Done
 | 4 | To Do 4 | Done
 | 5 | To Do 5
 | 6 | To Do 6
 | 7 | To Do 7
 | 8 | To Do 8
 | 9 | To Do 9
 | 10 | To Do 10
 | 11 | To Do 11
 | 12
 | 13
 | 14
 | 15
 | 16
 | 17
 | 18
 | 19
 | 20
 | 21
 | 22
 | 23
 | 24
 | 25
Spreadsheet: 611b3912-f12a-405f-a418-91b2eeba2292
Sheet: Sheet1

Permit No.: | Unnamed: 1 | WQ0034987 | Unnamed: 3 | Facility Name: | Unnamed: 5 | Foxfire [NAME] | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | County: | Bladen | Unnamed: 13 | Month: | Unnamed: 15 | Unnamed: 16 | Year: | Unnamed: 18
PPI: |  | 001 | Flow Measuring Point: |  |  |  |  |  |  | Parameter Monitoring Point:
Parameter Code |  |  | 50050 | 00310 | 31616 | 00610 | 00625 | 00620 | 00400 | 00665 | 70300 | 00530
Day | ORC Arrival Time | ORC Time On Site | Flow | BOD5 | Fecal Coliform | Ammonia | Total [NAME] | Nitrate | pH | Total Phosphorus | Total Dissolved Solids | Total Suspended Solids
 | 24-hr | hrs | GPD | mg/L | #/100 mL | mg/L | mg/L | mg/L | su | mg/L | mg/L | mg/L
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
Average:
Daily Maximum:
Daily Minimum:
Sampling Type: |  |  | Estimate | Grab | Grab | Grab | Grab | Grab | Grab | Grab | Grab | Grab
Monthly Limit: |  |  | 9800
Daily Limit:
Sample Frequency: |  |  | Monthly | 3 x Year | 3 x Year | 3 x Year | 3 x Year | 3 x Year | 3 x Year | 3 x Year | 3 x Year | 3 x Year
 |  | Average
 |  | Geomean
 |  | MAX/MIN
Spreadsheet: 150c8f98-ba2e-4166-a82e-f42e1b9c7a7d
Sheet: Sheet1

PENGUMUMAN | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10
RENCANA UMUM PENGADAAN BARANG/JASA
PEMERINTAH KABUPATEN KULON PROGO
PA/KPA |  | :  dr. BAMBANG HARYATO, M.Kes.
SKPD |  | :  DINAS KESEHATAN KABUPATEN KULON PROGO
ALAMAT |  | :  JL. SUPARMAN NO. 1 WATES, KULON PROGO
TAHUN ANGGARAN |  | :  2012
NO | NAMA PAKET PEKERJAAN |  | CARA PENGADAAN | VOLUME | LOKASI PEKERJAAN | RENCANA PENGANGGARAN |  | PERKIRAAN WAKTU MULAI PELAKSANAAN PENGADAAN | WAKTU PELAKSANAAN PEKERJAAN | [NAME]
 |  |  |  |  |  | PERKIRAAN (Rp.) | [NAME]
1 | Pengadaan Alat Medis / Alat Kesehatan Puskesmas [NAME] dan Tugas Pembantuan Pelaksanaan Program [NAME] dan Kabupaten/Kota |  | Pelelangan Umum | 1 paket | [NAME]. Kulon Progo | 5962751000 | APBN Perubahan | Agustus | September-Desember
 |  |  |  |  |  |  |  | [NAME], September  2012
 |  |  |  |  |  |  |  | [NAME]
 |  |  |  |  |  |  |  | [NAME]
 |  |  |  |  |  |  |  | [NAME], M.Kes.
 |  |  |  |  |  |  |  | NIP. 19600501 198712 1 002
Spreadsheet: 727251d1617802284-help-counting-the-sum-of-cells-containing-letters-sample-problem
Sheet: Sheet1

 |  |  |  | Name
 | Month | Day | Date | S Bradford | AN Other
 | January | Fri | 1
 |  | Sat | 2
 |  | Sun | 3
 |  | Mon | 4
 |  | Tue | 5
 |  | Wed | 6
 |  | Thu | 7
 |  | Fri | 8
 |  | Sat | 9
 |  | Sun | 10
 |  | Mon | 11
 |  | Tue | 12
 |  | Wed | 13
 |  | Thu | 14
 |  | Fri | 15
 |  | Sat | 16
 |  | Sun | 17
 |  | Mon | 18
 |  | Tue | 19
 |  | Wed | 20
 |  | Thu | 21
 |  | Fri | 22
 |  | Sat | 23
 |  | Sun | 24
 |  | Mon | 25 | H | H
 |  | Tue | 26 | h | h
 |  | Wed | 27 | h | h
 |  | Thu | 28 | H | H
 |  | Fri | 29
 |  | Sat | 30
 |  | Sun | 31
 | Allocation |  |  | 20 | 20
 | Taken
 | Remaining
 | [NAME]
 | Other
Spreadsheet: 682930d1592398997-formula-to-identify-duplicate-test
Sheet: Sheet1

ref | pre or post | flag
1 | post
1 | post
2 | post
3 | post
4 | pre
4 | post | x
5 | pre
6 | pre
Spreadsheet: 266487d1379625219-use-selections-from-two-data-validation-lists-to-lookup-and-return-a-combined-result-state-countyfipscode1
Sheet: INDIANA-13

 | COUNTY | CODE
 | Adams | 1
 | [NAME] | 3
 | Bartholomew | 5
 | [NAME] | 7
 | Blackford | 9
 | Boone | 11
 | [NAME] | 13
 | Carroll | 15
 | [NAME] | 17
 | [NAME] | 19
 | Clay | 21
 | [NAME] | 23
 | Crawford | 25
 | Daviess | 27
 | Dearborn | 29
 | Decatur | 31
 | [NAME] | 33
 | Delaware | 35
 | Dubois | 37
 | Elkhart | 39
 | Fayette | 41
 | [NAME] | 43
 | Fountain | 45
 | Franklin | 47
 | Fulton | 49
 | [NAME] | 51
 | Grant | 53
 | Greene | 55
 | [NAME] | 57
 | Hancock | 59
 | [NAME] | 61
 | Hendricks | 63
 | [NAME] | 65
 | [NAME] | 67
 | Huntington | 69
 | [NAME] | 71
 | Jasper | 73
 | [NAME] | 75
 | [NAME] | 77
 | Jennings | 79
 | [NAME] | 81
 | Knox | 83
 | Kosciusko | 85
 | Lagrange | 87
 | Lake | 89
 | La Porte | 91
 | [NAME] | 93
 | [NAME] | 95
 | Marion | 97
 | [NAME] | 99
 | Martin | 101
 | Miami | 103
 | Monroe | 105
 | Montgomery | 107
 | Morgan | 109
 | Newton | 111
 | Noble | 113
 | Ohio | 115
 | Orange | 117
 | [NAME] | 119
 | Parke | 121
 | [NAME] | 123
 | Pike | 125
 | Porter | 127
 | Posey | 129
 | Pulaski | 131
 | Putnam | 133
 | Randolph | 135
 | Ripley | 137
 | Rush | 139
 | St. Joseph | 141
 | Scott | 143
 | Shelby | 145
 | [NAME] | 147
 | Starke | 149
 | Steuben | 151
 | [NAME] | 153
 | Switzerland | 155
 | Tippecanoe | 157
 | Tipton | 159
 | Union | 161
 | [NAME] | 163
 | Vermillion | 165
 | Vigo | 167
 | Wabash | 169
 | [NAME] | 171
 | Warrick | 173
 | Washington | 175
 | Wayne | 177
 | Wells | 179
 | White | 181
 | [NAME] | 183
Spreadsheet: 681180d1591377291-pulling-entries-depending-on-criteria-to-create-a-summary-meeting-minutes
Sheet: Minutes

 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Note | Decision | Task
Management Review Meeting Minutes
Item |  |  | Topic |  |  |  |  | Details |  |  |  |  |  |  |  |  |  |  |  |  | Who |  | Due Date
Note |  |  | topic 1
Decision |  |  | Topic 2
Note |  |  | Topic 3
<Item>
<Item>
Item |  |  | Topic |  |  |  |  | Details |  |  |  |  |  |  |  |  |  |  |  |  | Who |  | Due Date
Note |  |  | topic 1
Note |  |  | Topic 2
Note |  |  | Topic 3
<Item>
<Item>
<Item>
Item |  |  | Topic |  |  |  |  | Details |  |  |  |  |  |  |  |  |  |  |  |  | Who |  | Due Date
Note |  |  | topic 1
Note |  |  | Topic 2
Decision |  |  | Topic 3 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | [NAME]
<Item>
<Item>
<Item>
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Task |  |  | Topic 2 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | [NAME]
Task |  |  | Topic 3 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | ted
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Task |  |  | Topic 2 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | [NAME]
Note |  |  | Topic 3
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Note |  |  | topic 1
Decision |  |  | Topic 2 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | [NAME]
Task |  |  | Topic 3 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | [NAME]
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Parking Lot / Tangents
Topic |  |  |  |  | Details |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Action
Summary
Decisions
Topic |  |  |  |  | Details |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Who |  | Due Date
Tasks/Action Items
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Spreadsheet: 121583d1316179829-random-word-combiner-excel-formula-example
Sheet: Sheet1

 | Word 1 | Word 2 | Word 3 |  |  | line1 | line 2 | line3
1 | the | big | toe
2 | is | small | finger
3 | and | tiny | snail
4 | and | large | ball
Spreadsheet: 833580d1687095706-formula-for-calculating-running-totals-for-bank-balances-bank-balances-1
Sheet: Sheet1

Bank | Opening Balance
ABC Bank | 1000
XYZ Bank | 500
123 Bank | 2000
Bank Name | Amount Spent | Balance
ABC Bank | -100 | forumla needed for calculating balance based on the bank name here
XYZ Bank | -20 | for this cell the value would equal 480 (balance is 500 - 20)
123 Bank | -30 | for this cell the value would equal 1970 (balance is 2000 - 30)
ABC Bank | -25
XYZ Bank | -100
123 Bank | -100 | for this cell value would be 1870 (value of cell above in c9 minus 100)
ABC Bank | -20 | etc
XYZ Bank | -30
123 Bank | -25
ABC Bank | -100
XYZ Bank | -55.6666666666667
123 Bank | -55.7878787878788
ABC Bank | -55.9090909090909
XYZ Bank | -56.030303030303
123 Bank | -56.1515151515152
ABC Bank | -56.2727272727273
XYZ Bank | -56.3939393939394
123 Bank | -56.5151515151515
ABC Bank | -56.6363636363637
XYZ Bank | -56.7575757575758
123 Bank | -56.8787878787879
ABC Bank | -57
XYZ Bank | -57.1212121212122
123 Bank | -57.2424242424243
ABC Bank | -57.3636363636364
XYZ Bank | -57.4848484848485
123 Bank | -57.6060606060607
ABC Bank | -57.7272727272728
XYZ Bank | -57.8484848484849
123 Bank | -57.969696969697
ABC Bank | -58.0909090909091
XYZ Bank | -58.2121212121213
123 Bank | -58.3333333333334
ABC Bank | -58.4545454545455
XYZ Bank | -58.5757575757576
123 Bank | -58.6969696969698
ABC Bank | -58.8181818181819
XYZ Bank | -58.939393939394
Spreadsheet: 672413d1586866132-vlookup-hlookup-for-question-3
Sheet: New Roll Up

Store + SKU | SKU | STORE | What DC are they attached to? | DC New Format | Concat | DC Inventory | Store Inventory | Weekly Movement | Store Inventory (CORRECT NUMBER) | Weekly Movement (CORRECT NUMBER)
1975040 | 19750 | 40 | DC04 - DUNN, NC | DC- 04 | DC- 0419750 | 825 | FORMULA (DATA on STORE INVENTORY TAB) | FORMULA (DATA on WEEKLY STORE MOVEMENT TAB) | 8 | 31
1975057 | 19750 | 57 | DC04 - DUNN, NC | DC- 04 | DC- 0419750 | 825 | FORMULA (DATA on STORE INVENTORY TAB) | FORMULA (DATA on WEEKLY STORE MOVEMENT TAB) | 16 | 47
1975059 | 19750 | 59 | DC04 - DUNN, NC | DC- 04 | DC- 0419750 | 825 | FORMULA (DATA on STORE INVENTORY TAB) | FORMULA (DATA on WEEKLY STORE MOVEMENT TAB) | 23 | 50
1975061 | 19750 | 61 | DC04 - DUNN, NC | DC- 04 | DC- 0419750 | 825 | FORMULA (DATA on STORE INVENTORY TAB) | FORMULA (DATA on WEEKLY STORE MOVEMENT TAB) | 9 | 51
Spreadsheet: 784427d1655731498-table-that-reports-the-percentage-of-y-or-blanks-in-a-column-2022-06-20-oeldere-adamisstuck-example-sheet
Sheet: Tracker 

 |  |  |  |  |  |  |  |  |  | 90
Date | PO | PO | Supplier/Contractor | Date PO/WO Sent | PO Receipted | Date Receipted/
 | Raised By | Requested By |  |  | Y | Checked
 |  |  |  |  | if applicable
date | PO | PO requested | Supplier | Sent | PO received | checked | criteria | criteria 2
2022-03-04 00:00:00 | AD | DSw | Supplier 1 | 2022-03-04 00:00:00
2022-03-04 00:00:00 | AD | TL | supplier 2 | 2022-03-04 00:00:00
2022-03-07 00:00:00 | AD | DSw | supplier 3 | 2022-03-09 00:00:00 | Y | 2022-04-12 00:00:00
2022-03-07 00:00:00 | HP | TL | supplier 4 | 2022-03-08 00:00:00 | Y | 2022-04-06 00:00:00 |  |  |  | Hi,
2022-03-07 00:00:00 | HP | DS | Supplier 1 | 2022-03-09 00:00:00
2022-03-07 00:00:00 | AD | TL | supplier 2 | 2022-03-08 00:00:00 | Y | 2022-04-08 00:00:00 |  |  |  | I need to produce a table that reports the Y's & Blanks in Colum F in the attached spreadsheet as a percentage.
2022-03-07 00:00:00 | HP | TL | Supplier 1 | 2022-03-08 00:00:00 | Y | 2022-04-06 00:00:00
2022-05-24 00:00:00 | HP | TL | supplier 2 | 2022-05-25 00:00:00 |  |  |  |  |  | The table would need to present the number of Y's in the last 90 days range and then the number of Y's older than 90 days going up to the date 04/01/2022 (1st of april)
2022-05-24 00:00:00 | HP | TL | supplier 2 | 2022-05-25 00:00:00
2022-05-25 00:00:00 | HP | DSw | supplier 3 | 2022-05-25 00:00:00 | Y | 2022-06-06 00:00:00 |  |  |  | Example uploaded (I've worked out a couple of the formulas) Reporting on tab 2
2022-06-16 00:00:00 | AD | TL | supplier 2 | 2022-06-17 00:00:00
2022-06-17 00:00:00 | AD | DS | supplier 2 | 2022-06-20 00:00:00
2022-06-17 00:00:00 | AD | TL | Supplier 1 | 2022-06-17 00:00:00 |  |  |  |  |  | Any help with this will be appreciated
2022-06-17 00:00:00 | AD | TL | supplier 2 | 2022-06-17 00:00:00 | Y | 2022-06-20 00:00:00
2022-06-17 00:00:00 | AD | GK | Supplier 1 | 2022-06-17 00:00:00
2022-06-17 00:00:00 | AD | TL | supplier 4 | 2022-06-17 00:00:00
2021-12-01 00:00:00 | AD | TL | supplier 4 | 2021-12-01 00:00:00