tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: john_griffith__16193__1_30_02LO
Sheet: Sheet1

 |  |  | SCS  OPTION  DATA
 | TICKER | STRIKE | STR BID | STR ASK | B VOL | A VOL | M STD/DAY | WHEN
 | CL H2 | 19 | 165 | 175 | 53.8 | 57 | 0.66 | 2002-01-30 11:44:00
 | CL J2 | 19.5 | 270 | 285 | 50.2 | 53.1 | 0.63 | 2002-01-30 11:44:00
 | CL K2 | 19.5 | 350 | 365 | 49.5 | 51.6 | 0.62 | 2002-01-30 11:44:00
 | CL M2 | 19.5 | 400 | 408 | 48.4 | 49.4 | 0.6 | 2002-01-30 11:44:00
 | CL N2 | 19.5 | 438 | 440 | 46.6 | 46.8 | 0.57 | 2002-01-30 11:44:00
 | CL Q2 | 20 | 460 | 475 | 43.4 | 44.9 | 0.56 | 2002-01-30 11:44:00
 | CL U2 | 20 | 475 | 495 | 41.6 | 43.4 | 0.53 | 2002-01-30 11:44:00
 | [NAME] | 20 | 490 | 505 | 39.9 | 41.1 | 0.51 | 2002-01-30 11:44:00
 | CL X2 | 20 | 495 | 510 | 38 | 39.2 | 0.49 | 2002-01-30 11:44:00
 | [NAME] | 20 | 500 | 520 | 36.6 | 38.1 | 0.47 | 2002-01-30 11:44:00
 | CL F3 | 20 | 505 | 530 | 35.3 | 37 | 0.45 | 2002-01-30 11:44:00
 | CL G3 | 20 | 510 | 535 | 34.2 | 35.9 | 0.44 | 2002-01-30 11:44:00
 | CL M3 | 20.5 | 530 | 560 | 30.5 | 32.2 | 0.4 | 2002-01-30 11:44:00
 | CL Z3 | 20.5 | 540 | 570 | 27 | 28.6 | 0.36 | 2002-01-30 11:44:00
 | CL M4 |  |  |  | 21.8 | 24.4 | 0.31 | 2002-01-04 13:39:00
 |  |  |  |  |  |  |  | ,
Spreadsheet: 799257d1665004736-conditional-formatting-not-applying-to-all-cells-in-range-conditional-formatting-problem
Sheet: Info

 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Desired Look
Data Month |  | March
 |  |  |  |  | March |  |  | April |  |  | May |  |  | June |  |  |  | March |  |  | April |  |  | May |  |  | June
2022
[NAME] |  |  |  | Task 1
 |  |  |  |  | 52 | / | 458 | NDTR | / | NDTR | NDTR | / | NDTR | NDTR | / | NDTR |  | 52 | / | 458 | NDTR | / | NDTR | NDTR | / | NDTR | NDTR | / | NDTR
CH002 |  |  |  | Task 2
 |  |  |  |  | 6 | / | 47 | NDTR | / | NDTR | NDTR | / | NDTR | NDTR | / | NDTR |  | 6 | / | 47 | NDTR | / | NDTR | NDTR | / | NDTR | NDTR | / | NDTR
CH003 |  |  |  | Task 3
 |  |  |  |  | 2 | / | 458 | NDTR | / | NDTR | NDTR | / | NDTR | NDTR | / | NDTR |  | 2 | / | 458 | NDTR | / | NDTR | NDTR | / | NDTR | NDTR | / | NDTR
CH004 |  |  |  | Task 4
 |  |  |  |  | 58 | / | 457 | NDTR | / | NDTR | NDTR | / | NDTR | NDTR | / | NDTR |  | 58 | / | 457 | NDTR | / | NDTR | NDTR | / | NDTR | NDTR | / | NDTR
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Desired Look
Data Month |  | April
 |  |  |  |  | March |  |  | April |  |  | May |  |  | June |  |  |  | March |  |  | April |  |  | May |  |  | June
2022
[NAME] |  |  |  | Task 1
 |  |  |  |  | 52 | / | 458 | 24 | / | 124 | NDTR | / | NDTR | NDTR | / | NDTR |  | 52 | / | 458 | 24 | / | 124 | NDTR | / | NDTR | NDTR | / | NDTR
CH002 |  |  |  | Task 2
 |  |  |  |  | 6 | / | 47 | 6 | / | 9 | NDTR | / | NDTR | NDTR | / | NDTR |  | 6 | / | 47 | 6 | / | 9 | NDTR | / | NDTR | NDTR | / | NDTR
CH003 |  |  |  | Task 3
 |  |  |  |  | 2 | / | 458 | 98 | / | 578 | NDTR | / | NDTR | NDTR | / | NDTR |  | 2 | / | 458 | 98 | / | 578 | NDTR | / | NDTR | NDTR | / | NDTR
CH004 |  |  |  | Task 4
 |  |  |  |  | 58 | / | 457 | 2 | / | 50 | NDTR | / | NDTR | NDTR | / | NDTR |  | 58 | / | 457 | 2 | / | 50 | NDTR | / | NDTR | NDTR | / | NDTR
Spreadsheet: 817154d1676028577-small-issue-function-offset-offset_function
Sheet: Planilha1

 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | The number 1 shouldn't appear because the next number is 4
 |  | Type the number below
 |  | 1 | 3 | 200 | 203 | 356 | 500 | 501 |  |  |  |  |  |  |  |  |  |  | =IF(OR(IFERROR(C5=OFFSET(C5,0,-1)+1;0),C5=D5-1),C5,"-")
 |  | 100 | 107 | 111 | 115 | 116 | 129 | 133 |  |  |  |  |  |  |  |  |  |  | =IF(OR(C7-B7=1,D7-C7=1),C7,"-")
 |  |  | The idea is that when you type the numbers in the blue squares, the numbers that are sequences will appear in the yellow squares. If it is not a sequence, it does not appear. If you test it is working perfectly with these two functions.  But in both functions there is a problem, if you type 1 and type a number that is not 2, the number 1 will appear and it shouldn't appear.  I tried to make other formulas, but it didn't work
Spreadsheet: 198621d1354830219-can-vlookup-do-this-solver_solution2
Sheet: Solver_setup

 | Target | 1938
 | 270.72 | 0.9860347460318977
 | 346.86 | 0.9821070191896984
 | 287.64 | 0.009972158679605264
 | 219.96 | 0.007625768246461317
 | 135.36 | 0.9930173730159488
 | 16.92 | 0
 | 169.2 | 0.9912717164667195
 | 84.6 | 0.9956358582333596
 | 33.84 | 0
 | 37.14 | 0
 | 74.28 | 0
 | 111.42 | 0.003862807138221255
 | 222.84 | 0.007725614276442509
 | 55.71 | 0.9971261662150217
 | 74.28 | 0
 | 241.41 | 0.9875467198715273
 | 37.14 | 0.9980841108100145
 | 74.28 | 0
 | 18.57 | 0
 | 18.57 | 0
 | 18.57 | 0
 | 18.57 | 0
 | 37.14 | 0.9980841108100145
 | 18.57 | 0
 | 55.71 | 0
 | 246.8 | 0.008556281001331682
 | 579.68 | 0.9700968591849802
 | 144.92 | 0.005024214796245065
 | 289.84 | 0.01004842959249013
 | 81.5 | 0.002825514153102703
 | 162.99 | 0.00565068180779414
 | sum | 1938
 | Object f | 4.547473508864641e-13
Spreadsheet: 714067d1611078034-sla-calculation-for-helpdesk-resolution-time-sample-sla-calc-gk
Sheet: Sheet1

Service Type | Created Time | Resolved | SLA Calculation |  |  |  |  |  |  |  | Start Time | End Time
Request Local Computer Support | 2020-11-12 19:12:00 | 2020-11-13 12:56:00 |  |  |  |  |  |  |  |  | 08:00:00 | 12:00:00
Problem Computer Local | 2020-11-12 17:47:00 | 2020-11-13 07:58:00 |  |  |  |  |  |  |  |  | 13:00:00 | 17:00:00
Request Local Computer Support | 2020-11-12 16:27:00 | 2020-11-12 17:28:00
Problem Computer Local | 2020-11-12 11:46:00 | 2020-11-12 12:03:00
Request Local Computer Support | 2020-11-12 11:36:00 | 2020-11-12 14:31:00
Problem Computer Local | 2020-11-12 11:23:00 | 2020-11-12 12:21:00
Problem Computer Local | 5/12/20 17:05 PM | 5/12/20 17:09 PM
Spreadsheet: 790315d1659638726-move-every-2nd-row-to-a-column-rows-to-columns
Sheet: Sheet1

name1
address1
city st zip1
[NAME]
address2
city st zip2
name3
address3
city st zip3
name4
address4
city st zip4
name5
address5
city st zip5
name6
address6
city st zip6
name7
address7
city st zip7
Spreadsheet: 593960d1539436260-extremely-complicated-searching-copy-of-sheet-1-geode7-
Sheet: Sheet1

 |  |  |  | AAA | BBB
AAA | aAA.bs
AAA | aAA-T.bs
AAA | be.px
aAA.bsa | bf.px
aAA-T.bsa | c0.px
BBB | bBB.bs
BBB | bBB-T.bs
BBB | be.px
bBB.bsa | bf.px
bBB-T.bsa | c0.px
 |  | Total
If I for example, I asked to count how many .pex files there are in AAA, aAA.bs and aAA-T.bs, my statement would be, "For all cells in Column B where in Column A there are cells that contain AAA, where there are .bs, display the result(s).                                                                        Ie: If A2=B2:B6, display all results from Column B with .bs in them (Lets call the results DB1 & DB2). Then do IF DB1 & DB2 = A2:A6, COUNTIF(B2:B6, ".px")
Spreadsheet: 754888d1636556544-searching-a-value-different-tabs-using-some-conditionals-planilha-de-transporte-2022-1-
Sheet: BA

 | TABELA DE CUSTOS DE TRANSPORTES 2021
 |  |  |  |  |  | IVECO | VAN |  |  | [NAME]  (4,8m) |  |  | [NAME](10m) |  |  | CARRETA (14,5m)
 |  |  | PERNAS |  |  | PERNAS |  |  | PERNAS |  |  | PERNAS |  |  | PERNAS
 | LOCAL (Ponto de início saindo de SALVADOR) |  | 2 | 4 |  | 2 | 4 |  | 2 | 4 |  | 2 | 4 |  | 2 | 4
 | SALVADOR - BA | DENTRO DA CIDADE |  |  |  | 800 | 900 |  | 900 | 1100 |  | 1500 | 1800 |  | 2000 | 4000
 | BELO HORIZONTE - MG | 0 |  |  | 6 |  |  | 7 |  |  | 9 |  |  | 15 | sob consulta | sob consulta
 | BRASÍLIA - DF | 0 |  |  | 6 |  |  | 7 |  |  | 9 |  |  | 15 | sob consulta | sob consulta
 | GOIÂNIA - GO | 0 |  |  | 6 |  |  | 7 |  |  | 9 |  |  | 15 | sob consulta | sob consulta
 | CAMPO GRANDE - GO | 0 |  |  | 6 |  |  | 7 |  |  | 9 |  |  | 15 | sob consulta | sob consulta
 | VITÓRIA - ES | 0 |  |  | 6 |  |  | 7 |  |  | 9 |  |  | 15 | sob consulta | sob consulta
 | RIO DE JANEIRO - RJ | 0 |  |  | 6 |  |  | 7 |  |  | 9 |  |  | 15 | sob consulta | sob consulta
 | CURITÍBA - PR | 0 |  |  | 6 |  |  | 7 |  |  | 9 |  |  | 15 | sob consulta | sob consulta
 | FLORIANÓPOLIS - SC | 0 |  |  | 6 |  |  | 7 |  |  | 9 |  |  | 15 | sob consulta | sob consulta
 | FOZ DO IGUAÇU - PR | 0 |  |  | 6 |  |  | 7 |  |  | 9 |  |  | 15 | sob consulta | sob consulta
 | PORTO ALEGRE - RS | 0 |  |  | 6 |  |  | 7 |  |  | 9 |  |  | 15 | sob consulta | sob consulta
 | ILHA DE COMANDATUBA - BA | 0 |  |  | 6 |  |  | 7 |  |  | 9 |  |  | 15 | sob consulta | sob consulta
 | [NAME] DO FORTE - BA | 0 |  |  | 6 |  |  | 7 |  |  | 9 |  |  | 15 | sob consulta | sob consulta
 | SÃO PAULO - SP | 2000 |  |  | 6 |  |  | 7 |  |  | 9 |  |  | 15 | sob consulta | sob consulta
 | ARACAJÚ - SE | 0 |  |  | 6 |  |  | 7 |  |  | 9 |  |  | 15 | sob consulta | sob consulta
 | RECIFE - PE | 0 |  |  | 6 |  |  | 7 |  |  | 9 |  |  | 15 | sob consulta | sob consulta
 | BELÉM - MA | 0 |  |  | 6 |  |  | 7 |  |  | 9 |  |  | 15 | sob consulta | sob consulta
 | FORTALEZA - CE | 0 |  |  | 6 |  |  | 7 |  |  | 9 |  |  | 15 | sob consulta | sob consulta
 | JOÃO PESSOAS - PA | 0 |  |  | 6 |  |  | 7 |  |  | 9 |  |  | 15 | sob consulta | sob consulta
Spreadsheet: 675537d1588346865-conditional-drop-down-auto-fill-option-is-this-possible-competitor-autofill
Sheet: Source Data Tab

Technology |  |  | Service Area to be used in Drop Down
Logic |  |  | Alaska | 010
 |  |  | California | 054, 055
 |  |  | Colorado | 070, 071, 072, 073
 |  |  | Hawaii | 148
 |  |  | Idaho | 150, 151, 152, 153
 |  |  | Montana | 360, 361, 362, 363
 |  |  | North Dakota | 472, 473
 |  |  | Oregon | 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527
 |  |  | Utah | 620
 |  |  | Washington | 637, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659
 |  |  | Wyoming | 690, 691, 692, 693, 694, 695, 696
Current Fiscal Year: |  |  | FY20
Technology: |  |  | Fluid Connectors
Service Area/ Province Name: |  |  | Wyoming
Trade Areas:
Data To Be Used:
Parker Sales |  | Total
Parker Sales |  | Total
 |  |  | ENTER Data in Grey Shaded
 |  |  | Area.  This Data is carried
 |  |  | Throughout the Market
 |  |  | Share Template.
Spreadsheet: 776998d1650056093-retain-only-rows-where-column-a-has-values-in-column-b-and-c-that-are-unique-to-value-in-a-example
Sheet: Desired Output

Login_ID | Role | user_type | Organization
[NAME] | A | 1 | Crater
[NAME] | B | 1 | Crater
[NAME] | C | 1 | Crater
[NAME] | D | 1 | Crater
[NAME] | A | 2 | Crater
[NAME] | B | 2 | Crater
[NAME] | A | 1 | Minnesota
[NAME] | B | 1 | Minnesota
[NAME] | C | 1 | Minnesota
[NAME] | D | 1 | Minnesota
[NAME] | A | 2 | Texas
[NAME] | B | 2 | Texas
[NAME] | C | 2 | Texas
[NAME] | D | 2 | Texas
[NAME] | A | 2 | Tree
[NAME] | A | 2 | Rock
Spreadsheet: 021b3074-7a6f-4194-8a95-07f87343ac80
Sheet: Sheet1

Table 4--U.S. fiber demand | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5
 | 2011 |  | 2012 |  | 2011
Item | Dec. | Jan. | Feb. |  | Feb.
 | 1,000 480-lb. [NAME]
Cotton:
All consumed by mills 1/ | 190 | 308 | 276 |  | 309
Total since August 1 | 1338 | 1646 | 1923 |  | 2311
Daily rate | 8.7 | 14 | 13.2 |  | 15.4
Upland consumed by mills 1/ | 188 | 307 | 275 |  | 307
Total since August 1 | 1330 | 1636 | 1912 |  | 2300
Daily Rate | 8.6 | 13.9 | 13.1 |  | 15.4
 |  | 2011 | 2012 |  | 2011
 | Nov. | Dec. | Jan. |  | Jan.
 | 1,000 480-lb. [NAME]
Cotton:
Upland exports | 721 | 807 | 1159 |  | 1632
Total since August 1 | 1990 | 2798 | 3957 |  | 5902
Sales for next season | 47 | 28 | 86 |  | 1008
Total since August 1 | 376 | 404 | 490 |  | 2838
Extra-long staple exports | 49.4 | 99.9 | 79.7 |  | 103.1
Total since August 1 | 65.1 | 165 | 244.6 |  | 250.5
Sales for next season | 27.2 | 9.1 | -4.6 |  | 65.4
Total since August 1 | 32.5 | 41.6 | 37 |  | 259.1
 | Million pounds
Manmade:
Raw fiber exports | 49.1 | 47.6 | 50.9 |  | 63.2
Noncellulosic | 48.5 | 47.2 | 50.5 |  | 62.7
Cellulosic | 0.6 | 0.4 | 0.4 |  | 0.5
Total since January 1 | 646.5 | 694.1 | 50.9 |  | 63.2
Total since January 1
 | 1,000 pounds
Wool and mohair:
Raw wool exports, clean | 572.2 | 722.3 | 191.2 |  | 670.1
Total since January 1 | 8534.7 | 9257 | 191.2 |  | 670.1
Wool top exports | 3.5 | 2.9 | 0 |  | 123.5
Total since January 1 | 866.1 | 869 | 0 |  | 123.5
Mohair exports, clean | 32.6 | 150.4 | 0 |  | 130.7
Total since January 1 | 655.4 | 805.8 | 0 |  | 130.7
1/  Estimated by USDA.
Last update: 4/11/12.
Sources: USDA, Farm Service Agency; USDA, Export Sales;
USDC, U.S. Census Bureau; and [NAME].
Spreadsheet: errol_mclaughlin_jr__10311__BOOKREQUEST-NGPriOpt
Sheet: Sheet1

From: | Risk Analysis and Reporting
 |  |  |  |  |  |  |  |  |  |  |  |  |  | Department: |  |  | Risk Management
Subject: | New Book Request (to set up book in RisktRAC)
 |  |  |  |  |  |  |  |  |  |  |  |  |  | Date:
 | COUNTERPARTY |  | BOOK PURPOSE |  |  | TAGG |  |  |  |  |  |  |  |  |  |  | IT SECURITY | Reporting -Subledger
 |  |  | Internal | External | Both | Book Mapping |  |  |  |  |  |  |  |  |  |  | Book
 | Short Name | [NAME] | Transactions | Transactions | Transactions | Code | Region | P | B | Idx | [NAME] | PHY | Commodity/UOM/Curr | [NAME] | MTM/ACCRUAL | Reason for Book | Administrator* | MTM | Prud | Realized
 | NG-Pr-Opt | Natural Gas Non-Affiliate Options Book | x |  |  |  |  | x |  |  |  |  | NatGas - MMBtu | [NAME] | MTM | Traders are splitting out book | See Below
 | FIN-ECTI-ENERGY | Financial ECTI-Energy |  |  |  | I7 | EQUITIES | X | - | - | - |  | TN10/CNTR/USD
 | FIN-ECTI-PROP | Financial ECTI-Prop |  |  |  | I8 | EQUITIES | X | - | - | - |  | TN10/CNTR/USD
 | FIN-ECTI-ST | Financial ECTI-ST |  |  |  | I3 | EQUITIES | X | - | - | - |  | TN10/CNTR/USD
 | FINLAND-JV-.2GO | Finland JV GASOIL.2 |  |  |  | QM | DESK | X | - | - | - |  | TN10/CNTR/USD
 | UK-FO-LSSR | UK -Fuel Oil-LSSR |  |  |  | V# | DESK | X | - | - | - |  | TN10/CNTR/USD
 | (Note 1) Please ensure access to both production and stage to enter deals, calculate books and set the official flag
 | Please provide a list of the people who need access to the above book(s).
 | ***'Please provide login names for book administrators.***
 | [NAME]
 | [NAME]
 | [NAME]
 | [NAME]
 | [NAME]
 | [NAME]
 | Brent Price
 | Access List: | emclaug
 |  | [NAME]
 |  | bbajwa
 | BOOK WILL NOT BE SET UP IF THERE IS ANY MISSING INFORMATION.
 | For questions, call:
 | [NAME] (x57197)
 | [NAME] (x31462)
 | [NAME] ([NAME])
 | [NAME] (x33102)
Spreadsheet: 103031d1300883717-help-with-isblank-function-referring-to-a-cell-with-another-isblank-formula-2011-neem-data
Sheet: Personnel

Sample Type | Location | Area | Date Sampled | Equipment Number | Technician In Hood (If applicable) | [NAME] | Mold CFU | Total [NAME] | Alert/Action | TR | Comments/Tech Color if Excursion
Surface | CR | Personnel | 2011-03-04 00:00:00 | OW | [NAME] | 0 | 0 | 0
Spreadsheet: 797e2664-db66-4a90-9695-398d2e2fd88d
Sheet: Sheet1

Pos | name | total | country | fencing-pos | fencing-victories | fencing-defeats | fencing-points | fencing-status | swimming-pos | swimming-time | swimming-points | swimming-status | riding-pos | riding-points | riding-time | riding-status | riding-coursepen | riding-timepen | combined-pos | combined-time | combined-status | combined-points | combined-shoot-1-valid | combined-shoot-1-missed | combined-shoot-1-time | combined-shoot-1-lap | combined-shoot-2-valid | combined-shoot-2-missed | combined-shoot-2-time | combined-shoot-2-lap | combined-shoot-3-valid | combined-shoot-3-missed | combined-shoot-3-time | combined-shoot-3-lap | combined-shoot-4-valid | combined-shoot-4-missed | combined-shoot-4-time | combined-shoot-4-lap
1 | VASILIONAK. H  /  PINCHUK. R | 5708 | BLR  /  BLR | 3 | 34 | 22 | 920 |  | 10 | 2:05.55 | 1296 |  | 3 | 1120 | 1:19.80 |  | 80 | 0 | 2 | 11:47.54 |  | 2372
2 | KOHLMANN. J  /  NOBIS. A | 5696 | GER  /  GER | 3 | 34 | 22 | 920 |  | 8 | 2:04.18 | 1312 |  | 7 | 1080 | 1:18.25 |  | 120 | 0 | 1 | 11:44.05 |  | 2384
3 | BIAN. Y  /  HAN. J | 5688 | CHN  /  CHN | 8 | 28 | 28 | 824 |  | 1 | 1:55.91 | 1412 |  | 2 | 1160 | 1:21.39 |  | 40 | 0 | 6 | 12:07.18 |  | 2292
4 | [NAME]. M  /  JUNG. J | 5604 | KOR  /  KOR | 10 | 27 | 29 | 808 |  | 2 | 1:58.00 | 1384 |  | 4 | 1120 | 1:18.06 |  | 80 | 0 | 7 | 12:07.34 |  | 2292
5 | YAMANAKA. S  /  MIGUCHI. T | 5536 | JPN  /  JPN | 6 | 30 | 26 | 856 |  | 7 | 2:03.79 | 1316 |  | 10 | 1024 | 1:43.07 |  | 120 | 56 | 3 | 11:55.30 |  | 2340
6 | JIENBALANOVA. A  /  ILYASHENKO. P | 5516 | KAZ  /  KAZ | 7 | 29 | 27 | 840 |  | 12 | 2:08.70 | 1256 |  | 6 | 1080 | 1:19.36 |  | 120 | 0 | 5 | 11:55.97 |  | 2340
7 | FAKHRUTDINOVA. A  /  KARYAKIN. S | 5480 | RUS  /  RUS | 1 | 40 | 16 | 1016 |  | 3 | 1:59.13 | 1372 |  | 13 | 944 | 1:33.47 |  | 240 | 16 | 11 | 12:43.86 |  | 2148
8 | CSEH. K  /  DEMETER. G | 5436 | HUN  /  HUN | 2 | 36 | 20 | 952 |  | 9 | 2:04.36 | 1308 |  | 9 | 1028 | 1:42.85 |  | 120 | 52 | 10 | 12:43.78 |  | 2148
9 | [NAME]. M  /  HERNANDEZ USCANGA. I | 5408 | MEX  /  MEX | 14 | 20 | 36 | 696 |  | 13 | 2:12.62 | 1212 |  | 1 | 1160 | 1:22.01 |  | 40 | 0 | 4 | 11:55.75 |  | 2340
10 | [NAME]. A  /  ZAPATA. E | 5280 | ARG  /  ARG | 11 | 22 | 34 | 728 |  | 11 | 2:07.97 | 1268 |  | 8 | 1068 | 1:32.94 |  | 120 | 12 | 9 | 12:26.98 |  | 2216
11 | COYLE. N  /  BAILEY. E | 5180 | IRL  /  IRL | 12 | 21 | 35 | 712 |  | 5 | 2:00.13 | 1360 |  | 11 | 1012 | 1:36.59 |  | 160 | 28 | 12 | 12:56.29 |  | 2096
12 | GENAUD. N  /  BOWSHER. D | 4788 | USA  /  USA | 15 | 16 | 40 | 632 |  | 14 | 2:16.92 | 1160 |  | 5 | 1080 | 1:26.20 |  | 120 | 0 | 14 | 13:41.76 |  | 1916
13 | [NAME]. Y  /  JONG. I | 4716 | TPE  /  TPE | 12 | 21 | 35 | 712 |  | 15 | 2:18.61 | 1140 |  | 12 | 976 | 1:45.41 |  | 160 | 64 | 15 | 13:48.84 |  | 1888
14 | FRENCH. K  /  CURRY. S | 4392 | GBR  /  GBR | 8 | 28 | 28 | 824 |  | 6 | 2:02.89 | 1328 |  | 14 | 0 | 0:00.00 | EL | 0 | 1200 | 8 | 12:20.51 |  | 2240
15 | KHOKHLOVA. I  /  [NAME]. D | 4280 | UKR  /  UKR | 5 | 31 | 25 | 872 |  | 4 | 1:59.88 | 1364 |  | 14 | 0 | 0:00.00 | EL | 0 | 1200 | 13 | 13:09.41 |  | 2044
Spreadsheet: 58489d1258726538-vlookup-query-retrievebydatesample
Sheet: Sheet3

Daily Report |  | 2009-11-20 00:00:00 | 5 | items
 | Name | Address | City | State | Zip | Phone | Order # | PO#
1 | Name4 | Address4 | City4 | State4 | Zip4 | Ph4 | 12345 | 44331
2 | Name6 | Address6 | [NAME] | State6 | Zip6 | Ph6 | 12345 | 44331
3 | Name8 | Address8 | City8 | State8 | Zip8 | Ph8 | 12345 | 44331
4 | Name11 | Address11 | City11 | State11 | Zip11 | Ph11 | 12345 | 44331
5 | Name13 | Address13 | City13 | State13 | [NAME] | Ph13 | 12345 | 44331
Spreadsheet: louise_kitchen__22807__NETCO gas pipeline contracts
Sheet: Central

NETCO Contracts Needed to Establish for Day 1
Central Desk
Pipeline | Rate Schedule |  | Service Description | Timing
ANR Pipeline Company | IPLS |  | IPLS (PARK/LEND) | 2 weeks
ANR Pipeline Company | PTS-1 |  | POOLING
ANR Pipeline Company | ITS |  | IT TRANSPORT
ANR Pipeline Company |  |  | EDI process
CONSUMERS (LDC) | I |  | TITLE TRANSFER | 2 weeks
Great Lakes Transmission LP | IT |  | IT TRANSPORT | 2 weeks
Great Lakes Transmission LP | MC |  | PARK & LOAN (STORAGE)
MICHCON (LDC) | I |  | IT TRANSPORT | 2 weeks
Natural Gas Pipeline Co. | TT |  | TITLE TRANSFER | 2 weeks
Natural Gas Pipeline Co. | ITS |  | IT TRANSPORT
Natural Gas Pipeline Co. | FTS |  | FT TRANSPORT
Natural Gas Pipeline Co. | NSS |  | NSS STORAGE
Northern Border Pipeline Co. | IT-1 |  | Interruptible Transportation | 2 weeks
Northern Border Pipeline Co. | IT-1R |  | Firm Transportation
Northern Border Pipeline Co. | T-1 |  | Firm Transportation
Northern Border Pipeline Co. | I |  | [NAME]
Northern Natural Gas Co. | TI |  | Interruptible Transportation | 2 weeks
Northern Natural Gas Co. | MPS |  | Pooling
Northern Natural Gas Co. | IDD |  | Storage
Northern Natural Gas Co. | TF |  | Firm Transportation
Northern Natural Gas Co. | TT |  | [NAME]
NIGAS (LDC) |  |  | POOLING | 2 weeks
NIPSCO (LDC) | no title transfer |  |  | 2 weeks
OneokNG | I |  | Pooling & Transport | 2 weeks
PEPL | EIT, I, GPS |  | it, pooling, park/lend | 2 weeks
RELIANT  (LDC) | PS, IT, FT |  | pooling, transport | 2 weeks
PEOPLES (LDC)
Trunkline Gas Company | TABS |  | TABS POOLING | 2 Weeks
Trunkline Gas Company | IT |  | IT TRANSPORT
Trunkline Gas Company | I |  | IT
Transcanada Gas Pipeline | I |  | IT | 2 weeks
Union Gas | IT |  | IT Transport | 2 weeks
Union Gas | I |  | Park/Loan
Spreadsheet: 262421d1378141889-choosing-one-of-the-duplicate-customer-info-testworkbook_unsort_optimize_customer_-ijulian-_
Sheet: Sheet1

CALL CENTER | Owner Day Tour
DAY OF YEAR | (All)
 | Values
Row Labels | Sum of QUAL TOURS | Sum of NET SALES VOLUME | Sum of VPG1
Unassigned Opc, | 1 | 14960 | 14960
[NAME], [NAME] | 2 | 23000 | 11500
Unknown | 8 | 33606 | 4200.75
[NAME], [NAME] | 4 | 16500 | 4125
Sutton, Belinda | 250 | 898481 | 3593.924
Quiroga, Kristine | 291 | 929064 | 3192.659793814433
[NAME], [NAME] | 420 | 1333041 | 3173.907142857143
Code, [NAME] | 177 | 537762 | 3038.203389830509
Lipshin, [NAME] | 63 | 182285 | 2893.412698412698
Fernandez, [NAME] | 6 | 15730 | 2621.666666666667
Priest, [NAME] | 238 | 623784 | 2620.941176470588
Mckelvey, Gina | 364 | 934786 | 2568.093406593407
Martinez, Kristina | 107 | 270715 | 2530.046728971963
[NAME], [NAME] | 19 | 47339 | 2491.526315789474
Drees, [NAME] | 137 | 324910 | 2371.605839416058
Hwang, [NAME] | 28 | 59641 | 2130.035714285714
Opendo, [NAME] | 6 | 11520 | 1920
[NAME], [NAME] | 6 | 9251 | 1541.833333333333
Hudoba, [NAME] | 1 | 0 | 0
Mallory, [NAME] | 1 | 0 | 0
[NAME], [NAME] | 2 | 0 | 0
Goss, [NAME] | 1 | 0 | 0
Rivera, [NAME] | 2 | 0 | 0
Dunn, [NAME] | 0 | 0 | #[NAME]!
Mainez, [NAME] | 0 | 0 | #[NAME]!
Galindo, Teresa | 0 | 0 | #[NAME]!
Thompson, [NAME] | 0 | 0 | #[NAME]!
Grand Total | 2134 | 6266375 | 2936.445641986879
Spreadsheet: 726378d1617201907-excel-match-capture-partial-text-string-partialstring-internet
Sheet: RawData

id | appEffectiveness | appUserSatisfaction | appUtilization
ID | Effectiveness | User Satisfaction | Utilization
e502a9bb-b0bf-4801-b54b-7ac1863cea2a | effHigh | usMedium | auHigh
389cdfc7-08d1-40d0-a194-69e1624a5cb3 | effMedium | usLow | auMedium
9706c99a-9679-422c-9a81-e547ee1a94fe | effLow | usHigh | auHigh
Spreadsheet: 40666d1239057452-how-to-do-multiple-if-and-or-statments-boston
Sheet: Data

American League |  | National League
East |  | East
[NAME] |  | Atlanta
Boston |  | Florida
New York |  | New York
Tampa Bay |  | Philadelphia
Toronto |  | Washington
Central |  | Central
Chicago |  | Chicago
Cleveland |  | Cincinnati
Detroit |  | Houston
Kansas City |  | Milwaukee
Minnesota |  | Pittsburgh
 |  | St. Louis
West |  | West
Los Angeles |  | Arizona
Oakland |  | Colorado
Seattle |  | Los Angeles
Texas |  | San Diego
 |  | San Francisco
Spreadsheet: 015f6bf2-01c2-497e-96e9-c21c09d97704
Sheet: Register Abbreviation Guide

Register Abbreviation Guide:
Forms: | A (Seller + Broker) | B ([NAME]) | U (Termination) | I (Broker + Broker) | F (Seller + Buyer)
AD | Administrator for the register
STR# | Special Transaction Register Number
ORN | Office Registration Number
BRN | Broker Registration Number
Apt | Apartment
Of | Office
P | Penthouse
WF | [NAME]
V | Villa
Ld | Land
WH | Warehouse
LC | Labor Camp
[NAME] | Residential
Com | Commercial
Ret | retail
Ind | Industrial
Agr | Agricultural
MU | Mixed Use
Uti | Utilities
BUA | Built Up Area
P or S | Primary or Secondary
Location Code: Community Area Code (According to Municipality)