tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 867907d1714661420-excel-countif-help-eisenhower-matrix_modified
Sheet: Eisenhower Matrix

Eisenhower Matrix
 |  |  |  |  |  |  | 1. Identify the topic of your tasks
 | “What is important is seldom urgent and what is urgent is seldom important.” |  |  |  |  |  | 2. Make goals and define tasks
 | — [NAME] |  |  |  |  |  | 3. Place tasks in the appropriate quadrant
 |  |  |  |  |  |  | 4. Move tasks as necessary
 |  |  |  |  |  |  | 5. Analyze your results
 | URGENT |  |  |  |  |  |  | NOT URGENT
I M P O R T A N T |  | DO immediately |  |  | DELEGATE for completion |  | N O T  I M P O R T A N T |  | PLAN and prioritize |  |  | DELETE these tasks
 | ☐ |  |  | ☐ |  |  |  | ☐ |  |  | ☐ |  |  | Do Immediately
 | ☐ |  |  | ☐ |  |  |  | ☐ |  |  | ☐ |  |  | Delegate
 | ☐ |  |  | ☐ |  |  |  | ☐ |  |  | ☐ |  |  | Plan
 | ☐ |  | [42] | ☐ |  |  |  | ☐ |  |  | ☐ |  |  | Delete
 | ☐ |  |  | ☐ |  |  |  | ☐ |  |  | ☐ |  |  | Total Tasks
 | ☐ |  |  | ☐ |  |  |  | ☐ |  |  | ☐
 | ☐ |  |  | ☐ |  |  |  | ☐ |  |  | ☐
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 | ☐ |  |  | ☐ |  |  |  | ☐ |  |  | ☐
 | ☐ |  |  | ☐ |  |  |  | ☐ |  |  | ☐
 | ☐ |  |  | ☐ |  |  |  | ☐ |  |  | ☐
 | ☐ |  |  | ☐ |  |  |  | ☐ |  |  | ☐
 | ☐ |  |  | ☐ |  |  |  | ☐ |  |  | ☐
 | ☐ |  |  | ☐ |  |  |  | ☐ |  |  | ☐
 | ☐ |  |  | ☐ |  |  |  | ☐ |  |  | ☐
 | ☐ |  |  | ☐ |  |  |  | ☐ |  |  | ☐
 | ☐ |  |  | ☐ |  |  |  | ☐ |  |  | ☐
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 | ☐ |  |  | ☐ |  |  |  | ☐ |  |  | ☐
Spreadsheet: 887304d1737543607-custom-data-validation-help-please-book2
Sheet: Sheet1

OUTPUT TRACKER
Payroll Advisor | Date | Pay Cycle | Timesheets Processed | Notes/Comments | Baseline Target | [NAME]
D | 2025-01-17 00:00:00 | 2 | 55 |  | 20 |  |  |  |  |  | Below Target
 | 2025-01-18 00:00:00 | 1 | 15 |  | 20
 | 2025-01-25 00:00:00 | 2 | 2 |  | 20
 | 2025-01-26 00:00:00 | 2 | 25 |  | 20
 | 2025-02-03 00:00:00 |  | 55 |  | 20
 | 2025-02-05 00:00:00 |  | 33 |  | 20
 | 2025-02-11 00:00:00 |  | 55 |  | 20
 | 2025-02-14 00:00:00 |  | 55 |  | 20
 |  |  | 8 |  | 20
 |  |  | 12 |  | 20
 |  |  | 12 |  | 20
 |  |  | 12 |  | 20
 |  |  | 15 |  | 20
 |  |  | 55 |  | 20
 |  |  | 15 |  | 20
 |  |  | 0 |  | 20
Spreadsheet: 785993d1656917423-sum-of-cells-in-adjacent-columns-fantasy
Sheet: Sheet1

OGUNBOWALE | 31.5 | x
YOUNG | 30.3
SMITH | 24.9
HAMBY | 25.9
FOWLES | 30.6 | x
MAGBEGOR | 27.5
JONES | 31.9
HOWARD | 29.4
[NAME] | 28.3 | x
CLOUD | 26
JEFFERSON | 25.1
OGWUMIKE | 32.6
THOMAS | 29.8
POWERS | 24.1
PLUM | 35
SMITH | 35
DeSHIELDS | 24.3
SAMUELSON | 19
Spreadsheet: 876787d1723514661-calculate-a-shift-by-time-and-day-of-week-doc1
Sheet: Sheet2

Shift | Shift Hours | Shift Name | Total Shift Hours
Monday - Thursday | 6:00:00 AM-4:00:00 PM | First | 10
Monday - Thursday | 4:30:00 PM-2:30:00 AM | Second | 10
Friday - Sunday | 6:00:00 AM-6:00:00 PM | Third | 12
Friday - Sunday | 6:00:00 PM-6:00:00 AM | Fourth | 12
Spreadsheet: 151016d1334759955-new-to-excel-creating-a-draft-board-that-is-sortable-finished1-300
Sheet: Grades

[NAME]
This worksheet is for assigning letter grades based on a percentage scale. A typical percentage scale
is A>=90, 80<=B<90, 70<=C<80, 60<=D<70, F<60, with plus (+) and minus (-) used for the upper
or lower end of the range. For convenience, the table is set up to calculate the plus and minus grade
minimums, but you can manually enter these values instead. For the [NAME] to work correctly, the
[NAME] below must remain ordered from lowest to highest.
[NAME]
Minimums | Grade | Frequency
0 | F | 0 | 0
0.6 | D- | 0 | 0
0.63 | D | 0 | 0
0.6599999999999999 | [NAME] | 0 | 0
0.7 | C- | 0 | 0
0.73 | C | 10 | 0.1 |  |  | [42]
0.76 | C+ | 13 | 0.13
0.8 | B- | 14 | 0.14
0.8300000000000001 | B | 29 | 0.29
0.86 | [NAME] | 24 | 0.24
0.9 | A- | 5 | 0.05
0.93 | A | 4 | 0.04
0.96 | A+ | 1 | 0.01
 | Students: | 100
Class Average (Mean)
#N/A | #N/A
Median: | #N/A | (the 50th percentile)
[NAME]: | #N/A
Percentiles |  | [42]
p | Percentile
0.9 | #N/A | "90% of the players scored less than …"
0.65 | #N/A
0.35 | #N/A
0.1 | #N/A
Weighting
Type | Code | % of Grade
Cowboys Need: | CN | 0.65
League Need: | LN | 0.15
NFL Ready: | NR | 0.1
Upside: | US | 0.1
Intangibles: | IT | 0.05
 | Total: | 1.05 | < The total should be 100% plus the intangibles %
Spreadsheet: 787407d1657788002-formula-to-create-dates-series-with-x-number-of-days-gaps-including-working-days-only-day-series-with-intervals
Sheet: Sheet1

 |  |  |  | Expected Results
 |  |  |  | June 1 Day Gap | June 2 Day Gap | June 3 Day Gap | June 4 Day Gap | June 5 Day Gap | June 6 Day Gap
 |  | Wednesday | 2022-06-01 00:00:00 | 01-June --- 02June | 01-June --- 03June | 01-June --- 06June | Same Here | Same Here | Same Here
 |  | Thursday | 2022-06-02 00:00:00 | 02-June --- 03June | 02-June --- 06June | 02-June --- 07June
 |  | Friday | 2022-06-03 00:00:00 | 03-June --- 06June | 03-June --- 07June | 03-June --- 08June
 |  | Saturday | 2022-06-04 00:00:00 | 06-June --- 07June | 06-June --- 08June | 04-June --- 09June
 |  | Sunday | 2022-06-05 00:00:00
 |  | Monday | 2022-06-06 00:00:00
 |  | Tuesday | 2022-06-07 00:00:00
 |  | Wednesday | 2022-06-08 00:00:00
 |  | Thursday | 2022-06-09 00:00:00
 |  | Friday | 2022-06-10 00:00:00
 |  | Saturday | 2022-06-11 00:00:00
 |  | Sunday | 2022-06-12 00:00:00
 |  | Monday | 2022-06-13 00:00:00
 |  | Tuesday | 2022-06-14 00:00:00
 |  | Wednesday | 2022-06-15 00:00:00
 |  | Thursday | 2022-06-16 00:00:00
 |  | Friday | 2022-06-17 00:00:00
 |  | Saturday | 2022-06-18 00:00:00
 |  | Sunday | 2022-06-19 00:00:00
 |  | Monday | 2022-06-20 00:00:00
 |  | Tuesday | 2022-06-21 00:00:00
 |  | Wednesday | 2022-06-22 00:00:00
 |  | Thursday | 2022-06-23 00:00:00
 |  | Friday | 2022-06-24 00:00:00
 |  | Saturday | 2022-06-25 00:00:00
 |  | Sunday | 2022-06-26 00:00:00
 |  | Monday | 2022-06-27 00:00:00
 |  | Tuesday | 2022-06-28 00:00:00
 |  | Wednesday | 2022-06-29 00:00:00
 |  | Thursday | 2022-06-30 00:00:00
Spreadsheet: 881905d1730129790-formula-for-cell-each-cell-2hrs-highlight-by-color-based-on-total-hour-new-example-file
Sheet: Sheet1

SHUTDOWN | Activity Name | Duration
EPOXY REACTORS WITH ANY PLANNED MAINTENANCE
level-1 |  |  | 2 | 4 | 6 | 8 | 10 | 12 | 14 | 16 | 18 | 20 | 22 | 24 | 26 | 28 | 30 | 32 | 34 | 36 | 38 | 40 | 42 | 44 | 46 | 48 | 50 | 52 | 54 | 56 | 58 | 60 | 62 | 64 | 66 | 68 | 70 | 72 | 74 | 76 | 78 | 80 | 82 | 84 | 86 | 88 | 90 | 92 | 94 | 96
Tower |  |  | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2
1 | Drain Purging | 12
2 | N2+Steam Purge | 24
3 | Ready For Maintenance Hand Over | 48
level-2
Tower
1 | Drain Purging | 24
2 | N2+Steam Purge | 48
3 | Ready For Maintenance Hand Over | 54
 | Want to write formula to create cell highlight till many rows like shown here and dynamic one
Spreadsheet: 97999d1297101189-multiple-rows-same-address-copy-of-address-sample
Sheet: Desired Data

ID | Preferred_Name | Additional Name | [NAME] | Name3 | Name4 | Address | City | State | [NAME]
1445 | [NAME] |  | [NAME] | [NAME] | [NAME] | 85 Stanley St | Cambridge | MA | 15151
4615 | [NAME] | Pam Potts |  |  |  | 69 West St | Charleston | MA | 14118
4145 | [NAME] |  |  |  |  | 6 Pleasant St | Concord | MA | 15111
5333 | [NAME] |  | Sandra Cans | [NAME] |  | 67 [NAME] | Concord | MA | 14434
6267 | [NAME] | [NAME] |  |  |  | 40 Old Stow Rd | Hudson | MA | 15411
5726 | [NAME] |  |  |  |  | 72 [NAME] | Lincoln | MA | 16378
6334 | George & Martha Wilson |  | [NAME] | [NAME] |  | 98 Flemming Rd | Lincoln | MA | 16111
6280 | [NAME] |  |  |  |  | 770 [NAME] #123 | Marlborough | MA | 15411
627 | [NAME] |  | [NAME] |  |  | 27 Connecticut Ave | Newton | MA | 15482
1794 | [NAME] | [NAME] |  |  |  | 3 Later Rd | Southborough | MA | 15346
1932 | Anders Larson | [NAME] | [NAME] | [NAME] | [NAME] | 241 Concord Ave | West Bridgewater | MA | 16139
Spreadsheet: chris_stokley__3970__Phoenix 082401
Sheet: Orig

 | CUSTOMER | PHOENIX LEAD | PHOENIX SECOND | PORTFOLIO ORIGINATION | SERVICE MGMT | ACCOUNT MGMT | RISK MODELS | DEAL MGMT | DSM | LEGAL | TRANSACTION SUPPORT | ORIG TARGET | CONTRACT REVIEW % | TARGET END | MTM EXPOSURE (6/01)
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | GAS | POWER | DSM | TOTAL | DSM | TOTAL
 |  |  |  |  |  |  |  |  |  |  |  |  | - | 'Deal List'!Q8)
 |  |  |  |  |  |  |  |  | PERCENT COMPLETE (simple avg)
 |  |  |  |  |  |  |  |  | TOTAL PROJECT COMPLETENESS
 | FZ | [NAME]
 | SW | [NAME]
 | DB | [NAME]
Spreadsheet: 76620d1277162123-solved-with-sumif-do-i-use-hlookup-and-vlookup-examplefile
Sheet: Month 2

date | category | description | cost |  |  | 82
2010-01-01 00:00:00 | winkin | this | 20
2010-01-01 00:00:00 | blinkin | not | 15
2010-01-22 00:00:00 | nod | not | 20
2010-01-01 00:00:00 | winkin | this | 60
2010-01-01 00:00:00 | blinkin | not | 15
2010-01-22 00:00:00 | nod | not | 20
2010-01-01 00:00:00 | winkin | this | 2
Spreadsheet: 156566d1337347597-how-to-associate-multiple-cells-associated-with-one-cell-until-a-different-date-is-entered-051812-ex
Sheet: FRONT TEST A

 | For mileage of privately-owned automobile used by me for transportation and reimbursement for subsistence and other authorized expenses paid by me in the discharge of
 | official duty from |  |  |  |  |  | to
 | CHECK (√ ) ONE: |  |  |  |  |  | TRIP # |  |  | AMOUNT |  | OFFICE USE ONLY
IN STATE |  |  | √ |  |  |  | PER DIEM IN LIEU OF
 |  |  |  |  |  |  | [NAME]
OUT OF STATE |  |  |  |  |  |  | TAXABLE MEALS
OUT OF COUNTRY |  |  |  |  |  |  | NON-TAXABLE MEALS
 |  |  |  |  |  |  | LODGING
 |  |  |  |  |  |  | Travel - AUTO-PRIVATE
 |  |  |  |  |  |  | Travel - AUTO-RENTAL
 |  |  |  |  |  |  | Travel - PUBLIC CARRIER
 |  |  |  |  |  |  | OTHER: | Tip
 |  |  |  |  |  |  | SUB-TOTAL
 |  |  |  |  |  |  | LESS TRAVEL ADVANCE
 |  |  |  |  |  |  | NET REIMBURSEMENT
 |  |  |  |  |  |  | (Refund)
Spreadsheet: 113042d1308969533-find-oldest-record-based-on-another-cell-being-empty-or-not-book1
Sheet: Sheet1

Asset Tag | Date | Type | End of Service
555 | 2000-01-01 00:00:00 | Computer | 2009-05-05 00:00:00
666 | 2001-02-02 00:00:00 | Apple | 2009-06-06 00:00:00
777 | 2004-03-03 00:00:00 | Tree | 2009-07-07 00:00:00
888 | 2006-05-05 00:00:00 | Car | 2009-08-08 00:00:00
999 | 2007-06-06 00:00:00 | Computer
 | The oldest computer STILL IN SERVICE is:
 | B9 should read "(999) 6/6/2007" (without quotes) or "6/6/2007 (999)" without quotes.  Ideally it would recognize that D6 does not have a date in it whereas D1, also a computer, does have a date in it.
Spreadsheet: edd038e5-97cb-4ee5-a75b-2db7f7b0ce11
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | RUN | T1 | BIKE | T2 | RUN.1 | POSITION | TOTAL TIME
6077 | 39171 | [NAME] | Wood | NZL | 43 | 00:21:48 | 00:00:00 | 00:45:32 | 00:00:00 | 00:11:59 | 1 | 01:19:20
6077 | 39490 | Mikayla | Nielsen | NZL | 41 | 00:21:20 | 00:00:00 | [NAME] | 00:00:00 | 00:11:07 | 2 | 01:20:25
6077 | 41883 | Philippa | [NAME] | NZL | 45 | [NAME] | 00:00:00 | [NAME] | 00:00:00 | 00:12:10 | 3 | 01:21:17
6077 | 32302 | Rebecca | [NAME] | NZL | 46 | 00:24:10 | 00:00:00 | 00:47:05 | 00:00:00 | 00:13:41 | 4 | 01:24:56
6077 | 39675 | Nikki | [NAME] | NZL | 44 | 00:24:08 | 00:00:00 | 00:49:19 | 00:00:00 | 00:12:59 | 5 | 01:26:26
Spreadsheet: 220399d1363144756-difference-between-time-in-same-column-with-different-dates-new-sleep-log-further-analysis-experiments-bvj-
Sheet: Sheet1

Went to bed at: | Woke up at: | Hours slept | Total hrs. Awake | Total sleep cycle time | NOTES | Bed-time advance | Waking time advance
2013-02-26 13:00:00 | 2013-02-26 20:57:00
2013-02-27 14:50:00 | 2013-02-27 23:27:00 |  |  |  | INDUCED ADVANCE
2013-02-28 16:37:00 | 2013-02-28 23:38:00 |  |  |  | INDUCED ADVANCE
2013-03-01 16:30:00 | 2013-03-02 01:18:00 |  |  |  | INDUCED ADVANCE
2013-03-02 18:48:00 | 2013-03-03 02:00:00 |  |  |  | INDUCED ADVANCE
2013-03-03 19:40:00 | 2013-03-04 04:22:00 |  |  |  | INDUCED ADVANCE
2013-03-04 21:25:00 | 2013-03-05 04:46:00 |  |  |  | INDUCED ADVANCE
2013-03-05 20:20:00 | 2013-03-06 05:44:00
2013-03-06 20:31:00 | 2013-03-07 06:01:00
Spreadsheet: 147994d1333068232-excel-2007-sum-with-two-conditions-buyoff-list
Sheet: Sheet1

 | Relevent | Section | Planner | Sent Date
 | yes | DMO | [NAME] | 1990-11-26 00:00:00
 | yes | DMO | [NAME] | 1990-11-26 00:00:00
 | yes | DMO | [NAME] | 1990-11-26 00:00:00
 | yes | DMO | [NAME] | 1990-11-26 00:00:00
 | yes | DMO | Ligon | 1990-11-26 00:00:00
 | yes | DMO | Ligon | 1990-11-26 00:00:00
 | yes | DMO | Ligon | n.r.
 | yes | DMO | Ligon | n.r.
 | yes | TDC | [NAME] | n.r.
 | yes | TDC | [NAME] | n.r.
 | yes | TDC | [NAME] | n.r.
 | no | TDC | [NAME] | n.r.
 | yes | TDC | [NAME] | n.r.
 | yes | TDC | [NAME] | n.r. TIG-AG
 | yes | TDC | [NAME] | n.r. TIG-AG
 | yes | TDC | [NAME] | n.r. TIG-AG
 | yes | TDC | [NAME] | n.r. TIG-AG
 | no | TDC | [NAME] | n.r. TIG-AG
 | no | TDC | [NAME] | 1991-04-02 00:00:00
 | no | TDC | [NAME] | n.r.
 | yes | DMO | Ligon | 1991-04-02 00:00:00
 | yes | DMO | Ligon | n.r. TIG-AG
 | yes | LTF | [NAME] | 1991-04-02 00:00:00
 | yes | LTF | [NAME] | 1991-04-02 00:00:00
 | yes | LTF | [NAME] | n.r. TIG-AG
 | yes | LTF | [NAME] | 1991-04-02 00:00:00
 | yes | LTF | [NAME] | n.r. TIG-AG
 | yes | DMO | [NAME] | n.r. TIG-AG
 |  |  |  | 14
Spreadsheet: 781559d1653414946-averageif-across-multiple-sheets-q1-agents-metrics-copy
Sheet: Sheet1

 | Inbound Minutes
 | 2019 | 2018 | 2017
Sunday |  |  | 1787
Monday |  | 3761 | 5959
Tuesday |  | 4534 | 3546
Wednesday |  | 3661 | 3078
Thursday |  | 3857 | 3120
Friday |  | 3489 | 3329
Saturday |  | 5065 | 4329
Sunday |  | 3760 | 3848
Monday |  | 4001 | 4991
Tuesday |  | 3452 | 2323
Wednesday |  | 3144 | 3105
Thursday |  | 2912 | 3185
Friday |  | 3481 | 3572
Saturday |  | 4666 | 3896
Sunday |  | 2992 | 2227
Monday |  | 3256 | 3256
Tuesday |  | 3069 | 3114
Wednesday |  | 4946 | 2814
Thursday |  | 3787 | 2483
Friday |  | 3101 | 2882
Saturday |  | 3643 | 3706
Sunday |  | 2118 | 2363
Monday |  | 3209 | 3503
Tuesday |  | 2389 | 2936
Wednesday |  | 2690 | 2940
Thursday |  | 2628 | 2688
Friday |  | 2838 | 3189
Saturday |  | 3562 | 3719
Sunday |  | 2212 | 1980
Spreadsheet: 774429d1648474217-vba-dynamic-list-from-same-column-on-multiple-sheets-forrick
Sheet: Vehicles3

 | Vehicles3 List
 | v3123
 | v3124
 | v3125
 | v3126
 | v3127
 | [NAME]
 | v3129
 | v3130
 | v3131
 | [NAME]
 | v3133
 | v3134
 | v3135
 | v3136
 | v3137
 | v3138
 | v3139
 | v3140
 | v3141
Spreadsheet: 893e4bf3-20b8-4bab-8990-175f216a6e99
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
ASHW | Test | ASHW | White Ash, IgE | White Ash, 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
ASHW | [NAME] | SERUM | Serum |  |  |  | Refrigerated | 14 days
ASHW | Result | ASHW | White Ash, IgE | White Ash, IgE | Numeric |  |  |  |  | kU/L |  |  |  |  |  |  |  |  |  | 6278-6
Spreadsheet: stacey_white__38805__Flex Schedule Calendar
Sheet: May-01

MAY 2001
 | 30 |  | 1 | [NAME] | 2 | [NAME] | 3 | [NAME] | 4
 |  |  |  | [NAME] |  | [NAME] |  | [NAME]
 |  |  |  | J.P. |  | Hai |  | Hai
 |  |  |  | Steve-4pm (class)
 |  |  |  | Casey-Portland------ |  | ------------------------ |  | ------------------------
[NAME] | 7 | [NAME] | 8 | [NAME] | 9 | [NAME] | 10 | [NAME] | 11
[NAME] |  | J.P. |  | [NAME] |  | [NAME] |  | [NAME]
[NAME] |  | [NAME] |  | J.P. |  | Hai |  | J.P.
 |  |  |  | Marilyn-Vacation------ |  | ------------------------ |  | ------------------------
 |  |  |  | Donnie-Vacation------ |  | ------------------------ |  | ------------------------
Casey-Portland------ |  | ------------------------ |  | ------------------------ |  |  |  | Hai - 1/2 day
[NAME] | 14 | [NAME] | 15 | [NAME] | 16 | [NAME] | 17 | [NAME] | 18
[NAME] |  | Hai |  | Hai |  | [NAME] |  | J.P.
[NAME] |  | J.P. |  | [NAME] |  | [NAME] |  | [NAME]
 |  | JP-dentist 8am |  | Steve-4pm (class)
Donnie-Vacation------ |  | ------------------------ |  | ------------------------
[NAME]-Doorstep------ |  | ------------------------ |  | ------------------------ |  | ------------------------ |  | ------------------------
[NAME] | 21 | [NAME] | 22 | [NAME] | 23 | [NAME] | 24 | [NAME] | 25
Hai |  | J.P. |  | [NAME] |  | [NAME] |  | Hai
[NAME] |  | [NAME] |  | [NAME] |  | J.P. |  | [NAME]
 |  | Andrea/Casey-PwrMktg |  | Andrea/Casey-PwrMktg
 |  | 8:30-4:00pm |  | 8:30-4:00pm
 | 28 | [NAME] | 29 | [NAME] | 30 |  | 31 |  | 1
ENRON |  | [NAME] |  | Hai
HOLIDAY! |  | [NAME] |  | [NAME]
 |  |  |  | Steve-4pm (class)
 |  |  |  |  |  |  |  | AD 1/2 Day (SORRY!)
* If your name is listed that means you are working late that day (whatever 'late' means!)
[NAME]
[NAME]
[NAME]
J.P.
[NAME]
[NAME]
Hai
Spreadsheet: 823236d1679830745-divide-sum-of-column-with-fixed-value-in-power-pivot-excel-power-pivot-question
Sheet: hours by month

month year | working hours
januar 2021 | 168
februar 2021 | 160
marec 2021 | 184
april 2021 | 176
maj 2021 | 168
junij 2021 | 176
julij 2021 | 176
avgust 2021 | 176
september 2021 | 176
oktober 2021 | 168
november 2021 | 176
december 2021 | 184
januar 2022 | 168
februar 2022 | 160
marec 2022 | 184
april 2022 | 168
maj 2022 | 176
junij 2022 | 176
julij 2022 | 168
avgust 2022 | 184
september 2022 | 176
oktober 2022 | 168
november 2022 | 176
december 2022 | 176
Spreadsheet: 699198d1602468719-create-a-list-based-on-the-value-of-a-cell-create-a-list-based-on-the-value-of-a-cell-purlo-
Sheet: Sheet1

Unique name | Value | [NAME] | List |  |  |  | Name | List
[NAME] | English |  | English, German, Russian
[NAME] | German |  | English, German, Russian
[NAME] | Russian |  | English, German, Russian
[NAME] | English |  | English, Russian
[NAME] | Russian |  | English, Russian
Spreadsheet: 78587d1278958672-series-of-data-best-way-to-filter-example
Sheet: Sheet1

 | Company | Order No | Value | Country
 | Blue | 200 | 15 | UK
 | Blue | 200 | 30 | UK
 | Blue | 205 | 50 | Switzerland
 | Blue | 210 | 22 | Sweden
 | Blue | 210 | 15 | Sweden
 | Pink | 300 | 150 | Germany
 | Pink | 300 | 37 | Germany
 | Pink | 305 | 85 | Belgium
Spreadsheet: 66533d1267171894-thread-moved-to-programming-please-ignore-mats-example
Sheet: Sheet1

standard documents |  |  |  |  | specialist documents |  |  |  | template |  |  |  |  |  | compliant?
EL - fees & timescales defined | EL - Open Ended | Unsigned EL emailed | Budget agreed | Terms & Conditions | Statement of Work | Internal Invoice | Licence agreements | Vendor Agree - ments | MATS template | II? | Vendor? | ELOE? | ELFT? | Licence | Compliance status
0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NO
1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | YES
0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | NO
Spreadsheet: 686089d1594356688-more-efficient-counta-sumif-and-sum-formulas-needed-for-training-spreadsheet-training
Sheet: Training 5

 | Training 5
 |  |  | 8:00am | 8:00am | 8:00am | 8:00am | 8:00am | 8:00am | 8:00am | 9:00am | 9:00am | 9:00am | 10:00am | 10:00am | 10:00am | 10:00am | 11:00am | 11:00am | 11:00am | 12:00pm | 12:00pm | 12:00pm | 12:00pm | 12:00pm | 12:00pm | 1:30pm | 1:30pm | 1:30pm | 1:30pm | 2:00pm | 2:00pm | 2:00pm
 | # of Sessions |  | 1
 | # of Expected on Training Day |  | 1 | 2 | 2 | 3 | 3 | 2 | 3 | 3 | 2 | 3 | 3 | 3 | 3 | 2 | 2 | 3 | 3 | 3 | 2 | 3 | 3 | 2 | 3 | 2 | 2 | 3 | 2 | 2 | 2 | 3
 | # [NAME] |  | 1 | 2 | 1 |  | 3 | 2 | 2 | 2 |  | 2 |  | 3 | 3 | 2 | 2 | 3 | 3 | 3 | 1 | 3 |  | 2 | 2 | 2 | 2 | 3 | 2 | 2 | 2 | 3
 | New Hire Show Rate
 | [NAME] | The same for training 1-6
 | C6: | Count Row 6 from column D and over, Only the cells with data entered in them
 | C7: | Sum of row 7 tfrom Column D and over "IF" Row 8 has data enetered
 | C8: | Sum of Row 8 from Column D and over
 | Column D and Over: | Manually entered.
Spreadsheet: 49197d1248443898-look-up-problem-692858_perch
Sheet: Sheet1

Sku | Packaging Code | Sku | 6.999999999999972
A4038100414 | A4038101148 | 4 | A4038100414 | A4038101148 | [NAME] | [PHONE] | [PHONE]
A4038100414 | [NAME] | 6 | BASILI00814 | BASILI00100 | BASILI00102 | BASILI00103 | BASILI00129 | BASILI00131 | [PHONE]
A4038100414 | [PHONE] | 3 | CIHHAI14159 | CIHHAI04988 | [PHONE] | [PHONE]
A4038100414 | [PHONE] | 3 | CIHHAI22342 | CIHHAI22341 | [PHONE] | [PHONE]
BASILI00814 | BASILI00100 | 8 | DBARON00814 | DBARON00100 | DBARON00102 | DBARON00103 | DBARON00129 | DBARON00131 | [PHONE] | [PHONE] | [PHONE]
BASILI00814 | BASILI00102 | 2 | DCOUNT00814 | DCOUNT00100 | DCOUNT00102
BASILI00814 | BASILI00103
BASILI00814 | BASILI00129
BASILI00814 | BASILI00131
BASILI00814 | [PHONE]
CIHHAI14159 | CIHHAI04988
CIHHAI14159 | [PHONE]
CIHHAI14159 | [PHONE]
CIHHAI22342 | CIHHAI22341
CIHHAI22342 | [PHONE]
CIHHAI22342 | [PHONE]
DBARON00814 | DBARON00100
DBARON00814 | DBARON00102
DBARON00814 | DBARON00103
DBARON00814 | DBARON00129
DBARON00814 | DBARON00131
DBARON00814 | [PHONE]
DBARON00814 | [PHONE]
DBARON00814 | [PHONE]
DCOUNT00814 | DCOUNT00100
DCOUNT00814 | DCOUNT00102
Spreadsheet: 116598d1311939209-function-that-copy-certain-numbers-to-another-sheet-something-like-this-maybe
Sheet: zero

stuff | 0,1,2or>2 | data 1 | data 2 | data 3 | data 4 | data 5
HET002 | 0 | 27 | 108 | 351 | 1080 | 3267
HET004 | 0 | 9 | 18 | 27 | 36 | 45
Spreadsheet: 118836d1314038293-conditional-formula-for-time-window-to-include-a-buffer-zone-books3
Sheet: Sheet4

Count of Status | Status |  |  |  |  |  | Late | 13 | 0.05485232067510549
Route |  | Early | Late | On Time | Grand Total |  | On Time | 183 | 0.7721518987341772
mtlroute 01 |  | 19 |  | 8 | 27 |  | Early | 41 | 0.1729957805907173
mtlroute 02 |  |  | 6 | 18 | 24
mtlroute 03 |  | 4 |  | 16 | 20 |  | Total | 237 | 1
mtlroute 06 |  |  |  | 19 | 19
mtlroute 07 |  | 3 |  | 18 | 21
mtlroute 08 |  |  |  | 22 | 22
mtlroute 09 |  | 11 |  | 6 | 17
mtlroute 10 |  | 1 |  | 21 | 22
mtlroute 11 | 1 | 3 |  | 22 | 26
mtlroute 12 |  |  |  | 15 | 15
mtlroute 13 |  |  | 7 | 18 | 25
Grand Total | 1 | 41 | 13 | 183 | 238