tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 823448d1679966871-excel-calendar-perpetual-events-monthly-calendar-sample
Sheet: OCTOBER

OCTOBER 2023
SUNDAY |  | MONDAY | TUESDAY | WEDNESDAY | THURSDAY | FRIDAY | SATURDAY
 | 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 | 1 | 2 | 3 | 4
 | [NAME] born 10/29/1784 - 8/8/1865 @80  ([NAME] gr gdma)
Notes: |  |  |  |  |  |  | © www.calendarlabs.com
Oct. 9 Columbus Day
[NAME] 1784 - (our original ancestor, her grandfather [NAME] of Norway, Europe is our earliest known)
Spreadsheet: 131175d1322772668-excel-2007-find-the-earliest-date-in-a-column-when-there-is-also-text-in-the-column-example
Sheet: Sheet1

Average ACC Rent Report
Average Rent Charge
Highest Rent Charge
Lowest Rent Charge
Unit Number
Spreadsheet: 728579d1618517765-removing-the-last-part-of-an-id-from-when-it-starts-with-a-letter-at-the-end-excel-example
Sheet: Sheet1

Product ID | Outcome
T12237 | T12237
T12237BE | T12237
E456 | E456
E4578 | E4578
D123TE | D123
F123X2 | F123
F345T1 | F345
Spreadsheet: 45839d1244634074-monthly-sum-markup
Sheet: Summary

MONTH WISE MARK-UP EXPENSES
S.NO. | BANK NAME & ACCOUNT NO. | JUL, 08 | AUG, 08 | SEP, 08 | OCT, 08 | NOV, 08 | DEC, 08 | JAN, 09 | FEB, 08 | MAR, 08 | APR, 08 | MAY, 08 | JUN, 08 | TOTAL
1 | Bank1
2 | Bank2
3 | Bank3
Spreadsheet: 494678d1482574380-dynamic-charts-inflation
Sheet: Data

Country Name | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 |  |  |  |  |  | Country Name | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015
Austria | 2.16859905342347 | 3.21592066034734 | 0.50631250889964 | 1.81353503144187 | 3.26693891157657 | 2.48567508675588 | 2.00015749271532 | 1.60580560487981 | 0.89656616390028 |  |  |  |  |  | Armenia | 4.40736089644515 | 8.94995335353394 | 3.40676682683803 | 8.18157554355635 | 7.6512336379763 | 2.55547090012938 | 5.79378791735188 | 2.98098807302369 | 3.72658602789371
Belarus | 8.42150039156796 | 14.8378764828254 | 12.9456563410401 | 7.73574804312508 | 53.2286983118173 | 59.2197360232518 | 18.3122610377873 | 18.1195543526734 | 13.5344897649735 |  |  |  |  |  | Bahrain | 3.25666666666709 | 3.5260031636372 | 2.7955128355041 | 1.96188468334621 | -0.364447750093561 | 2.75455359808898 | 3.30548492553609 | 2.65119549929705 | 1.83599369733479
Angola | 12.2486755229589 | 12.4737134078334 | 13.731451136511 | 14.4705411972156 | 13.4670153504455 | 10.2934943262183 | 8.77609093290935 | 7.27956154105362 | 10.2793267200442 |  |  |  |  |  | Barbados | 4.03422982885071 | 8.10810810810782 | 3.64386189258339 | 5.82421853311863 | 9.43220240177196 | 4.53334753888791 | 1.80400550374562 | 1.88717024578285 | -1.06121646850766
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Belgium | 1.82206364061768 | 4.48944420508402 | -0.0531456741253327 | 2.18929920422456 | 3.53208210722741 | 2.83966343445893 | 1.11393855643004 | 0.340000000000007 | 0.560593980466415
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Bhutan | 5.15611138758465 | 8.32716049382718 | 4.36112219119796 | 7.03638316073022 | 8.84898569946775 | 10.9196569446831 | 7.00666666666699 | 8.2065451461993 | 4.52170854328986
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Brazil | 3.63702793370311 | 5.6630985193257 | 4.88640844429616 | 5.03831694621168 | 6.63619865692984 | 5.40196474982358 | 6.20189961255349 | 6.33209234205231 | 9.02723977356148
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Cambodia | 7.66839343019863 | 24.9971788528387 | -0.661307602417437 | 3.99623007954201 | 5.47858730411902 | 2.93272461820122 | 2.9426001598505 | 3.85523855347905 | 1.22127006080708
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Bulgaria | 8.40248675339559 | 12.3487720851457 | 2.75317248671881 | 2.4389906050412 | 4.21990346601862 | 2.95456829831016 | 0.890093540913152 | -1.41812266154145 | -0.104872332816556
Spreadsheet: 137058d1326929822-calculation-based-on-cell-colour-change-orders-sheet-example_reply
Sheet: Stock Orders

 | ORDER NO. | CUSTOMER / ADRESS | DEL FROM | DEL TILL | CAT | FOR | PREFIX | STYLE | COLOUR | XS_28 | S_30 | M_32 | L_34 | [NAME] | XXL_38 | TOTAL | Notes | RowRef
 | 1 | Customer 1 | 2012-01-01 00:00:00 | 2012-03-30 00:00:00 | P&P | MEN | UCHZ | COLIN-885 | White | 0 | 2 | 3 | 2 | 1 | 1 | 9
 | 2 | Customer 2 | 2012-01-01 00:00:00 | 2012-03-30 00:00:00 | P&P | MEN | UCHZ | COLIN-885 | WATERFALL | 0 | 1 | 2 | 2 | 1 | 0 | 6
 | 3 | Customer 3 | 2012-01-01 00:00:00 | 2012-03-30 00:00:00 | P&P | MEN | UCPJ | ANDERSON-130 | BLUE ASTER | 0 | 3 | 4 | 3 | 2 | 1 | 13 | Dispatched
 | 4 | Customer 4 | 2012-01-01 00:00:00 | 2012-03-30 00:00:00 | P&P | MEN | UCHZ | BURTON-981 | Peacoat | 0 | 2 | 3 | 2 | 1 | 1 | 9
 | 5 | Customer 5 | 2012-01-01 00:00:00 | 2012-03-30 00:00:00 | P&P | MEN | UCPJ | ANDERSON-130 | Peacoat | 0 | 3 | 4 | 3 | 2 | 1 | 13
 | 6 | Customer 6 | 2012-01-01 00:00:00 | 2012-03-30 00:00:00 | P&P | MEN | UCJK | RANDEL-950 | RUDE WINE | 0 | 1 | 2 | 2 | 1 | 0 | 6 | Dispatched
 | 7 | Customer 7 | 2012-01-01 00:00:00 | 2012-03-30 00:00:00 | P&P | MEN | UCJK | STEPHENS-937 | BLACK | 0 | 2 | 3 | 2 | 1 | 1 | 9 | Dispatched
 | 8 | Customer 8 | 2012-01-01 00:00:00 | 2012-03-30 00:00:00 | P&P | MEN | UCJK | STEPHENS-937 | BLUE ASTER | 0 | 2 | 3 | 2 | 1 | 1 | 9 | Dispatched
 | 9 | Customer 9 | 2012-01-01 00:00:00 | 2012-03-30 00:00:00 | P&P | MEN | UCJK | RANDEL-950 | TWILIGHT BLUE | 0 | 2 | 3 | 3 | 2 | 1 | 11 | Dispatched
 | 10 | Customer 10 | 2012-01-01 00:00:00 | 2012-03-30 00:00:00 | P&P | MEN | UCJK | RANDEL-950 | RUDE WINE | 0 | 2 | 3 | 3 | 2 | 1 | 11 | Dispatched
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | When "Dispatched" entered in Notes record appears in Stock Dispatched Sheet. | ^ [NAME] in blue area
Spreadsheet: 811139d1672304371-combining-vlookup-and-match-formula-vlookup-and-match
Sheet: Sheet1

Branch | 2370324 | 3370324 | 2570324
BR1
BR2
Spreadsheet: 733077d1621376017-formulas-for-store-inventory-sheets-store-inv-tracker
Sheet: Tracker

 |  | PAINT Store Inventory File
S.No. | Item Number | Date | Type | Day | Time | [NAME] | Item Name- Inside | [NAME] | Item - Used /New
1 | P32000 | 1/6/2021 | Home | Sunday |  | P32000 |  |  | Used
2 | P34000 | 4/6/2021 | Inside | Sunday |  |  | P34000 |  | New
3 | P36000 | 6/6/2021 | Outside | Sunday |  |  |  | P36000 | Used
4 | P38000 | 6/6/2022 | Outside | Monday |  |  |  | P38000 | New
5 | P1000 | 6/6/2023 | Home | Sunday |  | P1000 |  |  | Used
6 | P2000 | 6/6/2024 | Home | Monday |  | P2000 |  |  | New
7 | P30000T | 6/6/2025 | Inside | Tuesday |  |  | P30000T |  | Used
8 | P31000T | 6/6/2026 | Inside | Wednesday |  |  | P31000T |  | New
9 | P33000T | 6/6/2027 | Inside | Thursday |  |  | P33000T |  | New
10 | P37000E | 6/6/2028 | Outside | Friday |  |  |  | P37000E | New
11 | P39000E | 6/6/2029 | Outside | Saturday |  |  |  | P39000E | Used
12 | P41000E | 6/6/2030 | Outside | Sunday |  |  |  | P41000E | New
Spreadsheet: 761652d1641137248-how-to-get-difference-between-two-numbers-based-on-condition-new-receipt-begin-difference-2
Sheet: Sheet1

SR | RECEIPT BATCH NO | RECEIPT FROM | RECEIPT TO | NEW RECEIPT BEGIN DIFFERENCE
1 | PLY 7851 | 167071 | 167119
2 | PLY 6970 | 234174 | 234275
3 | BJT 8155 | 182946 | 182999
4 | PLY 7851 | 167120 | 167155 | 1 | 1
5 | PLY 6970 | 234278 | 234361 | 3 | 3
6 | BJT 8155 | 183000 | 183162 | 1 | 1
7 | PLY 7851 | 167257 | 167193 | 102 | 2
8 | PLY 6970 | 234362 | 2344560 | 1 | 1
9 | BJT 8155 | 183063 | 183144 | 64 | -99
10 | PLY 6970 | 234457 | 234504 | 96 | -2110103
11 | BJT 8155 | 183146 | 183244 | 2 | 2
12 | PLY 6970 | 234507 | 234603 | 3 | 3
Spreadsheet: 00098e20-9b89-46de-89b6-99ddc700515d
Sheet: Sheet1

Players Only | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7
8am F1
(1 | Showtime
Showtime
 | (13
SOCO | 12:30 F1
8am F2
(2 | [NAME]
[NAME] |  | 5:10 F1
 |  | (21
Donkey Time
9am F1
(3 | Donkey Time
Bad Intention
 | (14
Woodstock Merch | 12:30 F2 |  |  |  | Men's Class E
9am F2
(4 | Woodstock |  | 7:30 F2
Hammerface
 |  |  | (27
Cagear.com
9am F3
(5 | Cagear.com
Southland
 | (15
Unleashed | 1:40 F1
10:10 F1
(6 | Unleashed
[NAME]
 |  | (22
Fantasyland |  | 5:10 F2
10:10 F2 |  |  |  |  |  | 9:45 F2
(7 | Fantasyland
J Dawgs
 | (16 |  |  |  |  | (30
Uncommon | 1:40 F2
10:10 F3
(8 | Uncommon
Nouveau
Loser's Bracket
Players Only | [NAME]
L-1 | (20 |  |  |  | L-27
11:20 F5 | 2:50 F2
(9 |  | 4pm F1
L-2 | SOCO | (23 |  |  |  |  | (31
SOCO |  |  |  |  | 8:45 F2
Bad Intention | L-15 |  | (25 |  | (29 |  | 11pm F2
[NAME] | (19 |  | 6:20 F1
11:20 F6 | 2:50 F1
(10
L-4 | Hammerface |  | L-21
Hammerface
Southland | L-14 |  |  | (28
[NAME] | (18 |  |  | 7:30 F1
12:30 F3 | 2:50 F3
(11 |  | 4pm F3
L-6 |  | (24
[NAME]
J Dawgs | L-13 |  | (26 |  |  |  | L-30
L-7 | (17
12:30 F4 | 2:50 F4 |  | 6:20 F2
(12
L-8 |  |  | L-22
Nouveau
Spreadsheet: phillip_m_love__31314__ARUBA Fixed HEDGE Pricing
Sheet: July 2001

The Peoples Gas Light and Coke Company |  |  |  |  | 2001-07-01 00:00:00 | #116629
Hedge Program for the Month of July 2001 |  |  |  |  | Hedge | Basis |  |  | Capacity | 2001-07-01 00:00:00
 |  | July |  |  | Purchase | Purchase | Hedge | Basis | Release | SITARA
Hedge Price | NGICcg | NYMEX | Basis | Result | Number | Number | Volume | Volume | (Adjust't) | Pricing
4.999 | 3.18 | 3.182 | N/A |  | 3 |  | 5000 |  | -0.03
4.97 |  |  | N/A |  | 4 |  | 5000 |  | -0.03
4.93 |  |  | 0.135 |  | 6 | 11 | 5000 | 5000 | -0.03
4.83 |  |  | 0.12 |  | 7 | 16 | 5000 | 5000 | -0.03
4.48 |  |  | 0.12 |  | 9 | 16 | 5000 | 5000 | -0.03
4.42 |  |  | 0.125 |  | 10 | 15 | 10000 | 10000 | -0.03
4.68 |  |  | N/A |  | 14 |  | 10000 |  | -0.03
North Shore Gas Company |  |  |  |  | 2001-07-01 00:00:00 | #116678
Hedge Program for the Month of July 2001 |  |  |  |  | Hedge | Basis |  |  | Capacity | 2001-07-01 00:00:00
 |  | July |  |  | Purchase | Purchase | Hedge | Basis | Release | SITARA
Hedge Price | NGICcg | NYMEX | Basis | Result | Number | Number | Volume | Volume | (Adjust't) | Pricing
4.999 |  |  | 0.125 |  | 3 | 14 | 1250 | 1250 | -0.02
4.97 |  |  | 0.125 |  | 4 | 14 | 1250 | 1250 | -0.02
4.93 |  |  | 0.135 |  | 5 | 10 | 1250 | 1250 | -0.02
4.83 |  |  | 0.125 |  | 6 | 14 | 1250 | 1250 | -0.02
4.48 |  |  | 0.125 |  | 8 | 14 | 1250 | 1250 | -0.02
4.42 |  |  | N/A |  | 9 |  | 2500 |  | -0.02
4.68 |  |  | 0.12 |  | 13 | 15 | 5000 | 5000 | -0.02
Spreadsheet: 138647d1327782070-excel-2007-macro-for-inserting-rows-with-formulas-test-populated
Sheet: 05-Overhead

Phase | Task | Description |  |  |  |  |  |  |  |  |  |  |  |  | Labor | Quantity | Unit | Unit Price | Owned Equipment | Rented Equipment | Material | Subcontracts | Other | [NAME] % | [NAME] Cost | Total Cost
 |  |  |  |  |  |  |  |  | Hours | Hours | Hours | Hours | Hours | Hours
 | 10
 |  | Permits
 |  | Bonds
 |  | Insurance
 |  | Contingency
 |  | Subtotals
 | 20
 |  | SHO/HASP
 |  | Safety Equipment/PPE
 |  | Subtotals
 | 30
 |  | Project Manager
 |  | Project Coordinator
 |  | Secretarial
 |  | Subtotals
 | 40
 |  | Subtotals
 | 50
 |  | Mileage
 |  | Lodging
 |  | Per Diem
 |  | Subtotals
PHASE 5 - | 60
 |  | Employee Water
 |  | FOG
 |  | Copies
 |  | Postage/Fed Ex
 |  | Subtotals
 |  | Phase 05 Total
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Page Total
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | [NAME]
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Total (excluding markup)
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Percentage
Spreadsheet: 150618d1334621542-overtime-total-is-diferent-when-made-by-excel-than-when-made-by-hand-tecnico_book3_16apr12_03
Sheet: Sheet1

PAY RATE | days | in | out | total hrs worked | base hrs pay | over  hrs pay | total pay |  | compute made by hand
10 | Monday | 09:00:00 | 13:00:00
10 | Tuesday | 09:20:00 | 18:00:00
10 | Wednesday | 08:10:00 | 17:42:00
10 | Thursday | 09:05:00 | 18:00:00
10 | Friday | 08:00:00 | 16:40:00
10 | Wednesday | 08:10:00 | 17:42:00 | 9.533333333333333 | 80 | 23.1 | 103.1 | as was before in onther worksheet
ok with the 9.54 would be ok on both ways excel and by calculator BUT how is 9.533 rounded up ??????  Cause with excel
 | 9.533 | to 2 decimal places gives   9.53 not 9.54 : ( , by hand could make it 9.54 but with excel it came up as 9.53 , so could you
 | explain if posible how the roundup function converts the 9.533 to 9.54 ?
 |  | =3/9 | =6/9
 |  |  |  |  | [NAME] = 2
 |  |  |  |  | =ROUND(*,2)
 |  |  |  |  | =ROUNDDOWN(*,2)
 |  |  |  |  | =ROUNDUP(*,2)
Spreadsheet: 109675d1306455369-3d-vlookup-copy-2010_11-09m3-results-file-for-forum
Sheet: Results

Surname | Forename | Year Tier | 2010 Mental Maths Test C | OPT 2010 L6-8 P1 | Opt 2010 L6-8 P2 | Grade
Snm1 | Fnme1 | L3to5_2008 | 24 | 12 | 15
Snm2 | Fnme2 |  | 26 | 24 | 19
[NAME] | Fnme3 |  | 23 | 29 | 21
Snm4 | Fnme4 |  | 22 | 19 | 20
Snm5 | Fnme5 |  | 23 | 25 | 18
Snm6 | Fnme6 |  | 21 | 14 | 17
Snm7 | Fnme7 |  | 19 | 17 | 25
Snm8 | Fnme8 |  | 24 | 19 | 20
Snm9 | Fnme9 |  | 21 | 13 | 21
Snm10 | Fnme10 |  | 21 | 15 | 15
Snm11 | Fnme11 |  | 21 | 28 | 23
Snm12 | Fnme12 |  | 16 | 21 | 19
Snm13 | Fnme13 |  | 21 | 14 | 14
Snm14 | Fnme14 |  | 25 | 14 | 19
Snm15 | Fnme15 |  | 22 | 13 | 13
Snm16 | Fnme16 |  | 18 | 16 | 13
Snm17 | Fnme17 |  | 17 | 14 | 8
Snm18 | Fnme18 |  | 28 | 27 | 17
Snm19 | Fnme19 |  | 22 | 23 | 13
Snm20 | Fnme20 |  | 27 | 12 | 23
[NAME] | Fnme21 |  | 21 | 14 | 22
Snm22 | Fnme22 | L4to6_2008 | 17 | 14 | 18
Snm23 | Fnme23 |  | 24 | 22 | 17
Snm24 | Fnme24 |  | 24 | 16 | 13
Snm25 | Fnme25 |  | 21 | 16 | 15
Snm26 | Fnme26 |  | 24 | 25 | 24
Spreadsheet: 117822d1313056308-multiple-if-book2
Sheet: Sheet1

[NAME] | Material | Description
1110337466 | 1SDA059762R1
1110337466 | 1SDA055778R1 | Need Description in this cell from sheet 2
1110337466 | 1SDA059666R1
1110337466 | 1SDA055746R1
1110337466 | 1SDA055744R1
1110337466 | 1SDA059765R1
1110337466 | 1SYN55500100090
1110337467 | 1SDA055714R1
1110337467 | 1SDA059666R1
1110337467 | 1SDA059666R1
1110337467 | 1SDA055754R1
1110337467 | 1SDA059762R1
1110337467 | 1SDA059762R1
1110337467 | 1SDA056138R1
1110337467 | 1SDA059765R1
1110337467 | 1SDA058270R1
1110800858 | 1SDA059223R1
1110337468 | 1SDA038357R1
1110337469 | 1SDA038324R1
1110337470 | OESA0032N
1110337470 | OESA0063N
1110337470 | OESA00100N
1110337470 | 1SCA107748R1001
1110337470 | 1SCA107751R1002
1110337470 | 1SCA107760R1001
1110337471 | OESA32G1N
1110337471 | OESA00100N
1110337472 | OESA32G1N
1110337474 | OESA0032N
Spreadsheet: 116674d1311975639-selective-columns-priors-hall
Sheet: master

HOLE
1 | 5 | 6 | 6 | 4 | 4 | 9 | 4 | 4 | 5 | 4 | 6 | 4 | 4 | 5 | 6 | 6 | 9 | 5 | 5 | 6 | 6 | 5 | 4 | 6 | 6 | 9 | 4 | 6
2 | 5 | 8 | 4 | 5 | 4 | 4 | 6 | 4 | 5 | 9 | 4 | 4 | 9 | 5 | 5 | 5 | 9 | 6 | 9 | 4 | 6 | 5 | 6 | 5 | 6 | 6 | 6 | 6
3 | 5 | 6 | 5 | 5 | 5 | 4 | 7 | 6 | 4 | 6 | 5 | 5 | 6 | 5 | 5 | 5 | 5 | 4 | 9 | 5 | 5 | 7 | 5 | 5 | 5 | 8 | 6 | 8
4 | 5 | 7 | 5 | 4 | 5 | 5 | 4 | 7 | 7 | 7 | 5 | 6 | 9 | 5 | 6 | 6 | 5 | 9 | 6 | 5 | 5 | 7 | 5 | 7 | 5 | 6 | 9 | 5
5 | 5 | 5 | 4 | 4 | 4 | 3 | 7 | 5 | 3 | 5 | 4 | 9 | 9 | 3 | 4 | 4 | 5 | 9 | 5 | 5 | 9 | 4 | 5 | 4 | 4 | 4 | 5 | 3
6 | 6 | 7 | 5 | 7 | 5 | 5 | 6 | 7 | 6 | 6 | 5 | 7 | 5 | 9 | 8 | 7 | 6 | 7 | 6 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 6 | 7
7 | 5 | 6 | 5 | 6 | 5 | 4 | 5 | 5 | 5 | 6 | 5 | 4 | 5 | 5 | 4 | 6 | 5 | 5 | 5 | 4 | 6 | 5 | 6 | 5 | 5 | 4 | 9 | 4
8 | 3 | 4 | 5 | 5 | 5 | 4 | 4 | 5 | 3 | 4 | 5 | 9 | 5 | 3 | 4 | 3 | 3 | 4 | 4 | 4 | 5 | 5 | 4 | 4 | 5 | 4 | 4 | 4
9 | 9 | 6 | 4 | 4 | 6 | 5 | 5 | 5 | 6 | 9 | 4 | 6 | 5 | 5 | 5 | 5 | 5 | 4 | 5 | 4 | 5 | 6 | 6 | 5 | 6 | 7 | 5 | 4
10 | 5 | 6 | 5 | 6 | 6 | 4 | 6 | 5 | 6 | 7 | 5 | 5 | 6 | 5 | 6 | 6 | 6 | 5 | 5 | 5 | 9 | 9 | 6 | 6 | 6 | 7 | 9 | 7
11 | 4 | 5 | 4 | 9 | 6 | 3 | 6 | 5 | 4 | 6 | 4 | 5 | 6 | 6 | 5 | 5 | 4 | 4 | 5 | 5 | 9 | 5 | 5 | 5 | 9 | 7 | 4 | 5
12 | 4 | 4 | 5 | 3 | 3 | 3 | 9 | 4 | 5 | 5 | 5 | 3 | 3 | 4 | 3 | 4 | 5 | 5 | 6 | 4 | 3 | 5 | 5 | 4 | 9 | 5 | 4 | 6
13 | 6 | 5 | 6 | 5 | 5 | 4 | 5 | 5 | 5 | 9 | 6 | 9 | 5 | 6 | 7 | 5 | 5 | 5 | 6 | 7 | 6 | 6 | 7 | 5 | 7 | 9 | 5 | 5
14 | 9 | 6 | 7 | 6 | 6 | 3 | 5 | 4 | 4 | 9 | 7 | 9 | 4 | 7 | 7 | 5 | 6 | 6 | 5 | 6 | 5 | 6 | 9 | 4 | 4 | 7 | 7 | 9
15 | 3 | 5 | 4 | 3 | 4 | 3 | 5 | 4 | 4 | 5 | 4 | 5 | 4 | 4 | 3 | 4 | 5 | 4 | 6 | 4 | 4 | 5 | 3 | 4 | 5 | 5 | 4 | 5
16 | 5 | 5 | 4 | 9 | 4 | 4 | 4 | 9 | 5 | 6 | 4 | 6 | 7 | 5 | 5 | 4 | 6 | 5 | 4 | 4 | 5 | 5 | 5 | 5 | 5 | 6 | 5 | 4
17 | 6 | 7 | 6 | 6 | 5 | 5 | 5 | 6 | 6 | 6 | 6 | 5 | 4 | 5 | 5 | 5 | 6 | 6 | 5 | 5 | 5 | 9 | 5 | 4 | 5 | 8 | 5 | 5
18 | 9 | 6 | 6 | 5 | 5 | 4 | 8 | 5 | 5 | 9 | 6 | 5 | 9 | 6 | 5 | 7 | 7 | 7 | 6 | 5 | 5 | 7 | 6 | 5 | 5 | 9 | 5 | 8
HANDICAPS, SCORES & ALTERATIONS
playing | 18 | 35 | 13 | 15 | 11 | 9 | 24 | 22 | 22 | 28 | 10 | 17 | 17 | 25 | 23 | 10 | 23 | 17 | 16 | 15 | 22 | 34 | 23 | 11 | 15 | 18 | 18 | 23
proper | 18 | 34 | 12 | 15 | 11 | 9 | 23 | 22 | 22 | 28 | 9 | 17 | 16 | 24 | 22 | 15 | 21 | 17 | 19 | 14 | 27 | 34 | 22 | 11 | 14 | 21 | 18 | 23
actual | 17.5 | 34 | 11.8 | 15.1 | 10.5 | 9.3 | 23.4 | 22.3 | 21.7 | 28 | 9 | 17.3 | 16.1 | 24.4 | 22.2 | 15.3 | 20.9 | 17.1 | 18.5 | 13.9 | 26.8 | 33.5 | 21.5 | 10.6 | 14.1 | 21.4 | 17.5 | 23.2
Par 3
PTS
ALT
Spreadsheet: 742206d1627580111-multi-criteria-table-lookup-invoice-template
Sheet: Lookup Tables

Client | Address | PO Number | Terms | ShortName
ACME Widgets | 123 Commercial Road | 1234568 | Net 45 Days | ACME
Spacely Sprockets | 987 Commercial Road | 189030983 | 2% 15, N60 | Spacely
Bedrock Quarry | 555 Commercial Road | 89479 | Upon Receipt | Bedrock
KAOS |  |  |  | KAOS
TestRates | ACME Widgets | Spacely Sprockets | Bedrock Quarry | KAOS
Product 1 | 180 | 175
Product 2 | 62 | 75
Product 3 | 62.5 | 75
Product 4 | 150 | 175
Product 5 | 160 | 175
Product 6 | 50 | 75
Product 7 | 55 | 75
Product 8 | 51.25 | 75
Product 9 | 55 | 75
Product 10 |  |  | 3
Product 11 |  |  |  | 20
Product 12 |  |  |  | 18
TestsList
Product 1
Product 2
Product 3
Product 4
Product 5
Product 6
Product 7
Product 8
Product 9
Product 10
Product 11
Product 12
Spreadsheet: 871006d1717483039-extract-unique-activities-based-on-sequential-activity-logs-user-activity-aligw
Sheet: User activity

Date | User | Activity |  |  | User | Start time | End Time | Total Time
2024-05-01 09:45:00 | User 1 | Logged in |  |  | User 1 | 2024-05-01 09:45:00 | 2024-05-01 09:52:00
2024-05-01 09:47:00 | User 1 | Edited content |  |  | User 2 | 2024-05-01 10:45:00 | 2024-05-01 10:55:00
2024-05-01 09:48:00 | User 1 | Approved content |  |  | User 3 | 2024-05-01 11:45:00 | 2024-05-01 11:58:00
2024-05-01 09:50:00 | User 1 | Uploaded file |  |  | User 1 | 2024-05-01 12:45:00 | 2024-05-01 12:59:00
2024-05-01 09:52:00 | User 1 | Logged out |  |  |  |  | Average Time
2024-05-01 10:45:00 | User 2 | Logged in
2024-05-01 10:47:00 | User 2 | Edited content |  |  |  | 2024-05-01 09:45:00 | 2024-05-01 09:52:00 | 00:07:00
2024-05-01 10:48:00 | User 2 | Approved content |  |  | User 2 | 2024-05-01 10:45:00 | 2024-05-01 10:55:00 | 00:10:00
2024-05-01 10:50:00 | User 2 | Uploaded file |  |  | User 3 | 2024-05-01 11:45:00 | 2024-05-01 11:58:00 | 00:13:00
2024-05-01 10:55:00 | User 2 | Logged out |  |  | User 1 | 2024-05-01 12:45:00 | 2024-05-01 12:59:00 | 00:14:00
2024-05-01 11:45:00 | User 3 | Logged in |  |  |  |  | Average Time | 00:11:00
2024-05-01 11:47:00 | User 3 | Edited content
2024-05-01 11:51:00 | User 3 | Approved content
2024-05-01 11:56:00 | User 3 | Uploaded file
2024-05-01 11:58:00 | User 3 | Logged out
2024-05-01 12:45:00 | User 1 | Logged in
2024-05-01 12:47:00 | User 1 | Edited content
2024-05-01 12:48:00 | User 1 | Approved content
2024-05-01 12:50:00 | User 1 | Uploaded file
2024-05-01 12:59:00 | User 1 | Logged out
Spreadsheet: 852308d1702391166-need-help-combining-formulas-help
Sheet: Blad1

ID | Name | Meeting 1 | Meeting 2
1 | [NAME] | attended | absent
2 | [NAME] | attended | absent
3 | [NAME] | absent | attended
3 | [NAME] | attended | attended
4 | [NAME] | attended | noshow
5 | Emma | attended | attended
 | Meetings attended | Meetings  absent | No-Show
1 | 1 | 1 | 0 |  |  | 1 | 1 | 0
2 | 1 | 1 | 0 |  | 2 | 1 | 1 | 0
3 | 3 | 1 | 0 |  | 3 | 3 | 1 | 0
4 | 1 | 0 | 1 |  | 4 | 1 | 0 | 1
5 | 2 | 0 | 0 |  | 5 | 2 | 0 | 0
Spreadsheet: 162634d1340018369-excel-formulas-seem-to-stop-working-at-a-certain-range-camp-sign-up-spreadsheet-test
Sheet: Aero Space Week

 | Name | Age | Emergency Contact | Phone Number
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
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
Spreadsheet: 708015d1607588214-populating-a-cell-in-excel-using-formulas-test
Sheet: Data

Site Name | Town | Post Code | Lat | Long | type
Manor Gardens | Burbage | SN8  3FG | 51.3586 | -1.6709 | Hedge
Saddlers Way | Burbage | SN8  3TX | 51.34626 | -1.66626 | Shrub
[NAME] | [NAME] | SN8  3SN | 51.3533453211233 | -1.60507103470879 | Hedge
Shawgrove | Great Bedwyn | SN8  3UT | 51.37626 | -1.60481 | Shrub
Manor Gardens | Nowhere | None | 50 | 60 | Shrub
Spreadsheet: 0faeb046-c88f-49c8-81ba-cd045d42af55
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | SNOWSHOE | T1 | SKATE | T2 | SKI | POSITION | TOTAL TIME
6911 | 6001 | Sarka | [NAME] | CZE | 32 | 00:27:33 | 00:00:28 | 00:33:41 | 00:00:48 | 00:32:41 | 1 | 01:35:14
6911 | 15499 | Monika | Kadlecova | SVK | 31 | 00:32:10 | 00:00:29 | [NAME] | 00:00:41 | 00:39:01 | 2 | 01:45:16
6911 | 30335 | Tereza | Durdiakova | ITU | 34 | 00:28:49 | [NAME] | 00:41:38 | 00:01:26 | 00:36:43 | 3 | 01:49:21
6911 | 6010 | Kristina | Lapinova | SVK | 35 | 00:28:47 | 00:00:41 | [NAME] | 00:01:14 | 00:45:42 | 4 | 01:52:20
6911 | 28356 | [NAME] | Liparova | SVK | 36 | 00:33:10 | 00:00:38 | 00:37:47 | 00:01:55 | 00:50:08 | 5 | 02:03:42
6911 | 46293 | [NAME] | Kovacova | SVK | 0 | 00:32:09 | [NAME] | [NAME] | 00:01:22 | 00:49:58 | 6 | [NAME]
Spreadsheet: 4f5d08a6-b2a0-43ac-9690-e73f5515428a
Sheet: Sheet1

Table 2--World cotton supply and use estimates | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7
 |  |  |  |  |  | 2013/14
Item | 2012/13 |  | Jan. |  | Feb. |  | Mar.
 | Million 480-lb. [NAME]
Supply:
Beginning stocks--
World | 73.32 |  | 89.17 | 89.14 | 89.16 | 89.16 | 89.16
Foreign | 69.97 |  | 85.27 | 85.27 | 85.26 | 85.26 | 85.26
Production--
World | 123.07 |  | 117.81 | 116.83 | 116.67 | 116.67 | 116.68
Foreign | 105.76 |  | 104.62 | 103.76 | 103.48 | 103.48 | 103.49
Imports--
World | 45.95 |  | 38.45 | 38.5 | 38.45 | 38.45 | 38.43
Foreign | 45.94 |  | 38.44 | 38.49 | 38.44 | 38.44 | 38.42
Use:
[NAME] use--
World | 106.35 |  | 109.5 | 109.68 | 109.48 | 109.48 | 109.21
Foreign | 102.85 |  | 105.9 | 106.08 | 105.88 | 105.88 | 105.61
Exports--
World | 46.71 |  | 38.47 | 38.49 | 38.47 | 38.47 | 38.45
Foreign | 33.68 |  | 27.97 | 28.09 | 27.97 | 27.97 | 27.75
Ending stocks--
World | 89.16 |  | 97.61 | 96.41 | 96.47 | 96.47 | 96.75
Foreign | 85.26 |  | 94.61 | 93.41 | 93.47 | 93.47 | 93.95
 | Percent
Stocks-to-use ratio:
World | 83.8 |  | 89.1 | 87.9 | 88.1 | 88.1 | 88.6
Foreign | 82.9 |  | 89.3 | 88.1 | 88.3 | 88.3 | 89
 | 3
Source: USDA, World Agricultural Outlook Board.
Last update: 3/12/14.