tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 06d9b519-b8ee-437c-90d4-c969de3e8939
Sheet: Pos FY 2009-10

Fund/Bureau | Position Count from SAP | Vacant Casuals | Other Adjustments | Revised Position Count | Allocation Percent | In Model? | Notes
100-AT | 63 | -1 | -62
100-AU | 59 | -4 | -55
100-CB | 9
100-EM | 17 |  | -17
100-FR | 769 | -10 | -1
100-GR | 8 |  | -8
100-HC | 38 | -1
100-HN | 4
100-MF | 298 | -9
100-MY | 26 | -1
100-NI | 54 | -5 | -6
100-OE | 6
100-PA | 15 | -1 | -13
100-PK | 3796 | -1033
100-PL | 1309 | -2
100-PN | 119 | -5
100-PS | 8 | -1 | -7
100-PU | 10 |  | -10
100-PW | 10 |  | -10
200-TR | 793 | -27
202-EC | 154
203-DS | 312 | -1
216-PA | 5 |  | -5
220-PK | 2 | -2
402-PK | 15
600-ES | 604 | -31
601-WA | 3
602-WA | 677 | -18
603-PK | 77 | -25
604-PK | 72 | -22
605-PN | 33
608-ES | 5
700-MF | 11
701-MF | 37
702-MF | 81 | -1
703-MF | 33 | -3
704-MF | 15
705-MF | 6
706-MF | 240 | -1
708-MF | 20
800-DR | 17
Spreadsheet: 759426d1639532025-how-to-use-an-if-statement-with-time-use-convert-to-correct-floating-point-errors-dexter2-
Sheet: Sample

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Spreadsheet: 0010c2a9-0988-4711-8b82-9ccd0e462bb4
Sheet: Sheet1

Dept:
[NAME] | Meeting and/or Assoc. City, ST | Dates of Travel | Purpose of Trip* | Funding by Dept. | Funding from other sources** | [NAME] of FFE | TOTAL
 |  |  | TOTAL:
* paper presentation
** URC, Grant, restricted account, start-up accout, etc.
Spreadsheet: 2cd31b06-03c1-476b-b81a-4a1451f19fe2
Sheet: Sheet1

Table 2--Soybean meal:  U.S. supply and disappearance | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9
 | Supply |  |  |  |  | Disappearance
Year beginning | Beginning |  |  |  |  |  |  |  | Ending
October 1 | stocks | Production | Imports | Total |  | Domestic | Exports | Total | stocks
 | 1,000 short tons
2010/11 | 301.554 | 39251 | 178.811 | 39731.365 |  | 30277.677 | 9103.688 | 39381.365 | 350
2011/121 | 350 | 41025 | 215.916 | 41590.916 |  | 31550.062 | 9740.854 | 41290.916 | 300
2012/132 | 300 | 37350 | 250 | 37900 |  | 29400 | 8200 | 37600 | 300
1 Estimated.  2 Forecast.
Source: USDA, World Agricultural Outlook Board, World Agricultural Supply and Demand Estimates.
Last update: | 2012-12-17 14:05:17.250000
Spreadsheet: 867755d1714552752-i-am-trying-to-pull-data-from-a-cell-based-on-another-cells-value-beginner-help-forum-test-sheet-v1-worksheet
Sheet: MHC

OUTLET | CUSTOMER | TOWN | LOAD TIME | RUN TIME | SITE TIME | DAYWORK/TIPPING | RETURN TIME | MATERIAL | TONNAGE | REG | RESTRICTED |  | REG | SIZE |  | REG | SIZE
MHC | [NAME] | BIRMINGHAM |  | 30 | 08:00:00 | 30 |  |  |  | TEST 1 |  |  | TEST 1 | 8W
MHC | [NAME] | BIRMINGHAM |  | 30 | 08:30:00 | 30 |  |  |  | TEST 2 |  |  | TEST 2 | 8W
MHC | [NAME] | BIRMINGHAM |  | 30 | 09:00:00 | 30 |  |  |  | TEST 3 |  |  | TEST 3 | 8W
MHC | [NAME] | BIRMINGHAM |  | 30 | 09:30:00 | 30 |  |  |  | TEST 1 |  |  | TEST 4 | 8W
MHC | [NAME] | BIRMINGHAM |  | 30 | 10:00:00 | 30 |  |  |  | TEST 2
MHC | [NAME] | BIRMINGHAM |  | 30 | 10:30:00 | 30 |  |  |  | TEST 3
MHC | [NAME] | BIRMINGHAM |  | 30 | 11:00:00 | 30 |  |  |  | TEST 1
MHC |  | MELKSHAM |  | 65 | 12:00:00 |  |  |  |  | TEST 4
MHC |  | MELKSHAM |  | 60 | 07:00:00 |  |  |  |  | TEST 4
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
MHC
Spreadsheet: 0b5251ff-0936-4fbe-8b18-32dc19c35c8b
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10
 |  | Energy Consumption by Sector. UNIT: TOE
 |  | Sector | 2001-02 | 2002-03 | 2003-04 | 2004-05 | 2005-06 | 2006-07 | 2007-08 | 7-year [NAME]
 | 1 | Domestic | 5895458 | 6092468 | 6278918 | 6812535 | 7054587 | 7605145 | 8046294 | 2150836
 |  |  | 0.230299964373664 | 0.232112994837597 | 0.2166718520436643 | 0.2122024850784651 | 0.2078198206552826 | 0.2112234355835241 | 0.204152952623555 | 0.3648293313259123
 | 2 | Commercial | 809113 | 851857 | 927613 | 1080235 | 1247992 | 1377247 | 1455527 | 646414
 |  |  | 0.03160716183106867 | 0.03245434845835397 | 0.03200991423837348 | 0.03364805486778942 | 0.03676437382078178 | 0.03825132104477979 | 0.03693006179904751 | 0.7989168385627224
 | 3 | Industrial | 8803952 | 9313278 | 11098642 | 12759957 | 14654360 | 15792049 | 16804303 | 8000351
 |  |  | 0.3439172718976962 | 0.3548205502819393 | 0.3829900816206866 | 0.3974577135962394 | 0.4317001784821631 | 0.4386045032255606 | 0.4263637488551703 | 0.9087226963527288
 | 4 | Agriculture | 691758 | 694783 | 734202 | 717151 | 732699 | 767226 | 803837 | 112079
 |  |  | 0.02702281023038364 | 0.02647008780222566 | 0.02533571980302377 | 0.02233841358268344 | 0.0215844492064957 | 0.0213087471164593 | 0.02039519025504917 | 0.1620205331922435
 | 5 | Transport | 8612474 | 8711365 | 9281160 | 10071427 | 9493667 | 9721183 | 11567394 | 2954920
 |  |  | 0.336437382026826 | 0.3318886564974036 | 0.3202727167823461 | 0.3137131534276669 | 0.2796722435063846 | 0.2699937570153034 | 0.2934913438733403 | 0.3430976975953716
 | 6 | Other Government | 786285 | 584103 | 658393 | 662631 | 762384 | 742364 | 735712 | -50573
 |  |  | 0.03071540964036151 | 0.02225336212248057 | 0.02271971551190576 | 0.02064017944715564 | 0.02245893432889225 | 0.02061823601437281 | 0.01866670259383772 | -0.06431891744087703
 |  | Total | 25599040 | 26247854 | 28978928 | 32103936 | 33945689 | 36005214 | 39413067
Spreadsheet: 61396d1262206268-dependent-dropdowns-book1
Sheet: Conference

Division List | Division_1A | Division_1AA | ACC | Big 12 | Big Ten | Independents 1A | Big Sky | Independants 1AA | Ohio Valley | Southland
Division_1A | ACC | Big Sky | Clemson | Nebraska | Ohio State | Navy | Montana | Bryant | E Illinois | McNeese State
Division_1AA | Big 12 | Independants 1AA | Boston College | Kansas State | Iowa | Notre Dame | Weber State | N Carolina Cent | E Kentucky | [NAME]
 | Big Ten | Ohio Valley | Florida State | Iowa State | Penn State | Army | E Washinton | Savannah State | [NAME] | Southeastern Lousiana
 | Independents 1A | Southland | Wake Forest | Missouri | Wisconson |  | Montana State | Winston-Salem State | Tennesee State | Texas State
 |  |  | NC State | Colorado | Michigan State |  | N Arizonia |  | [NAME] | Central Arkansas
 |  |  | Maryland | Kansas | Purdue |  | Portland State |  | [NAME] | [NAME]
 |  |  | Georgia Tech | Texas | Minnesota |  | Sacramento State |  | [NAME] | [NAME]
 |  |  | Miami (FL) | Oklahoma State | Northwestern |  | N Colarado |  | SE Missouri State | Northwestern State
 |  |  | [NAME] | Oklahoma | Illinois |  | [NAME]
 |  |  | North Carolina | Texas Tech | Michigan
 |  |  | Duke | Texas A&M | Indiana
 |  |  | [NAME] | Baylor
Spreadsheet: ae9f99b0-afed-483a-9fbc-b93991a4c7b7
Sheet: Sheet1

Adresseliste fra www.proff.no | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7
Bransje:Malere
FIRMANAVN | ADRESSE | POSTNR. | POSTSTED | TELEFON | TELEFAKS
Eidså eftf AS | [NAME]. 286 | 4700 | Vennesla | 413 08 344
Malefryd AS | Furukollen 27 | 1900 | Fetsund | 63 88 50 90
[NAME] og Byggtapetsermester | Kleverv. 3 | 1540 | Vestby | 64 98 51 30
NJS Prosjektløsninger Service Nerijus Sakalys | Høgåsv. 3 | 3525 | Hallingby | 452 96 015
Hovi & Stenumgård Malerfirma AS | Ranheimsbygda | 2900 | Fagernes | 991 61 117
Høvåg Malerservice AS | Høvåg Sentrum | 4770 | Høvåg | 913 51 409
Maling & Miljø AS | Rypelia 23 | 9403 | Harstad | 479 99 500
Roås og Toftner Malermesterforretning AS | Stålfjæra 14 | 0975 | Oslo | 22 90 26 30
[NAME] og Byggtapetsering | Lyngv. 8 | 3260 | Larvik | 988 54 676
Nysted Didrik AS | Luramyrv. 1 | 4313 | Sandnes | 51 96 19 99 | 51 96 19 90
Goa Malerservice A/S | Nådlandsknausene 25 | 4034 | Stavanger | 51 57 98 80
[NAME] | Skålevikv. 60 | 5178 | Loddefjord | 55 50 96 50
Heggland R Malerfirma AS | Kolskogheiane 6 | 5210 | Os | 56 30 29 07
Mur & Malerteknikk AS | Markv. 11 | 8402 | Sortland | 977 04 420
[NAME] maler- og byggtapetserfirma AS | [NAME]. 16 | 3117 | [NAME] | 33 31 55 45
[NAME] Malermester AS | Lienv. 113 | 3580 | Geilo | 32 09 60 80 | 32 09 60 89
Skilbrei Rune Maler AS | Tunav. 7 | 6817 | Naustdal | 996 92 267
Stockus Service | Haslev. 15 | 6200 | Stranda | 408 31 290
Ljungquist [NAME] | [NAME]. 23B | 2208 | Kongsvinger | 906 80 752
[NAME] A Maler og Byggetapetserer AS | [NAME] 52 | 7224 | [NAME] | 900 66 930
[NAME] | Haakon VII's g 1 | 0161 | Oslo | 915 57 514
[NAME] | Låkegutua 16 | 2074 | Eidsvoll Verk | 951 54 555
[NAME] Malermester | [NAME]. 51 | 1367 | Snarøya | 957 30 374
[NAME] | Østadv. 26 | 1712 | Grålum | 951 27 333
Eikeland [NAME] | Nedre Ulsetskogen 50 | 5119 | Ulset | 951 51 053
Trenger du oppdaterte adresselister til DM /TM? [NAME] (www.forvalt.no) tilbyr ett segmenterings- og uttekksverktøy hvor du [NAME] frem til din målgruppe og eksportere lister til Excel. Du kan gjøre oppslag så ofte du vil, med en begrensning på 3500 selskap per søk. Våre telefonnummere er hentet fra Telefonkatalogen og [NAME].  Med segmenteringsverktøy kan du: - Hente ut adresseliste før en DM utsendelse - Lage ringelister - Hente ut bransjestatistikker - Oppdatere din kundedatabase  Se http://forvalt.no/segmenteringsverktoy/
Spreadsheet: 81445d1281620140-protecting-worksheets-against-changes-by-formula-fixsort
Sheet: Sheet1

STUFF |  |  |  |  |  |  | HELPER
A | A | A | A | A | A | A | MYROW 1
J | J | J | J | J | J | J | MYROW 2
B | B | B | B | B | B | B | MYROW 3
K | K | K | K | K | K | K | MYROW 4
N | N | N | N | N | N | N | MYROW 5
I | I | I | I | I | I | I | MYROW 6
8.1 | 8.2 | 8.3 | 8.4 | 8.5 | 8.6 | 8.7 | MYROW 7
F | F | F | F | F | F | F | MYROW 8
M | M | M | M | M | M | M | MYROW 9
E | E | E | E | E | E | E | MYROW 10
O | O | O | O | O | O | O | MYROW 11
G | G | G | G | G | G | G | MYROW 12
L | L | L | L | L | L | L | MYROW 13
H | H | H | H | H | H | H | MYROW 14
C | C | C | C | C | C | C | MYROW 15
P | P | P | P | P | P | P | MYROW 16
Spreadsheet: 4c1dea4f-7461-4b6c-9585-9c26b9dfe50f
Sheet: Sheet1

NO | 職場名稱 | 地址 | 認證類別
1 | 中龍鋼鐵(股)公司 | 台中縣龍井鄉龍昌路100號 | 菸害防制
2 | 永進機械工業(股)公司 | 台中縣 神岡鄉 新庄村和睦路888號 | 菸害防制
3 | 立榮航空(股)公司 | 台中縣沙鹿鎮中清路42號(台中航空站) | 菸害防制
4 | 同泰電子(股)公司 | [NAME] | 菸害防制
5 | 車王電子(股)公司 | 台中縣大雅鄉中清路三段39號 | 菸害防制
6 | 味丹企業(股)公司 | 台中縣沙鹿鎮興安路65號 | 菸害防制
7 | 勝華科技(股)公司 | 台中縣潭子鄉台中加工出口區建國路10號 | 菸害防制
8 | 勝華科技(股)公司 | 台中縣潭子鄉台中加工出口區建國路21-3,23-3,25-3,27-3號 | 菸害防制
9 | 勝華科技(股)公司 | 台中縣潭子鄉台中加工出口區建國路9-2號 | 菸害防制
10 | 勝華科技(股)公司 | 台中縣潭子鄉台中加工出口區建國路21-1,21-2,23-1,23-2,25-1,25-2,27-1,27-2號 | 菸害防制
11 | 勝華科技(股)公司 | 台中縣潭子鄉台中加工出口區南二路4-3,6-3,8-3,10-3號 | 菸害防制
12 | 勝華科技(股)公司 | 台中縣潭子鄉台中加工出口區南二路12-1,14-1號 | 菸害防制
13 | 喜利廉自然烘焙館 | 台中縣清水鎮橋頭里高美路231巷27號 | 菸害防制
14 | 新竹貨運(股)公司 | [NAME] | 菸害防制
15 | 新竹貨運(股)公司 | 台中縣大里市中興路一段118號 | 菸害防制
16 | 新竹貨運(股)公司 | 台中縣大甲鎮臨江路79-36號 | 菸害防制
17 | 新竹貨運(股)公司 | 台中縣梧棲鎮中華路一段191號 | 菸害防制
18 | 瑞晶電子(股)公司 | 台中縣后里鄉后里村三豐路429-1號 | 菸害防制
27 | 新竹貨運股份有限公司東區營業所 |  | 菸害防制
28 | [NAME] |  | 菸害防制
29 | 政伸企業股份有限公司 |  | 菸害防制
30 | 財團法人塑膠技術發展中心 |  | 菸害防制
31 | 勝華科技股份有限公司台中分公司 |  | 菸害防制
Spreadsheet: 154285d1336360712-isblank-and-vlookup-formula-returns-n-a-result-and-incorrect-result-samplefile
Sheet: ServiceAgreements

Term | Contract Status | Effective Date | End Date | Under Warranty? | Renewal Reminder
2 years |  | 2011-07-10 00:00:00
1 year |  | 2010-08-01 00:00:00
2 years |  | 2011-10-07 00:00:00
1 year
1 year |  | 2011-02-27 00:00:00
Spreadsheet: 872964d1719415745-formulas-needed-exclude-data-from-sum-if-data-in-cells-match-and-conditional-formatting-ca-wage-calculator
Sheet: Paid Weekly Calculator

 | CLAIM NUMBER:
 | NAME:
 | COMPANY NAME:
 | DATE OF INJURY:
 | CURRENT HOURLY RATE:
 | PAY PERIOD | START DATE | END DATE | HOURLY RATE | HOURS WORKED | PAY EARNED | OVERTIME | BONUS | OTHER | TOTAL PAY:
 | 1 | 2023-06-24 00:00:00 |  |  | 40 | 1800
 | 2 |  |  |  | 40 | 1800
 | 3 |  |  |  | 20 | 900
 | 4 |  |  |  | 0 | 0
 | 5 |  |  |  | 40 | 1800
 | 6 |  |  |  | 40 | 1800
 | 7 |  |  |  | 40 | 1800
 | 8 |  |  |  | 40 | 1800
 | 9 |  |  |  | 40 | 1800
 | 10 |  |  |  | 0 | 0
 | 11 |  |  |  | 20 | 900
 | 12 |  |  |  | 40 | 1800
 | 13 |  |  |  | 40 | 1800
 | 14 |  |  |  | 40 | 1800
 | 15 |  |  |  | 0 | 0
 | 16 |  |  |  | 40 | 1800
 | 17 |  |  |  | 20 | 900
 | 18 |  |  |  | 40 | 1800
 | 19 |  |  |  | 40 | 1800
 | 20 |  |  |  | 0 | 0
 | 21 |  |  |  | 40 | 1800
 | 22 |  |  |  | 40 | 1800
 | 23 |  |  |  | 40 | 900
 | 24 |  |  |  | 40 | 1800
 | 25 |  |  |  | 0 | 0
 | 26 |  |  |  | 40 | 1800
 | 27 |  |  |  | 40 | 1800
 | 28 |  |  |  | 20 | 900
 | 29 |  |  |  | 0 | 0
 | 30 |  |  |  | 40 | 1800
 | 31 |  |  |  | 40 | 900
 | 32 |  |  |  | 40 | 1800
 | 33 |  |  |  | 0 | 0
 | 34 |  |  |  | 20 | 900
 | 35 |  |  |  | 40 | 1800
 | 36 |  |  |  | 0 | 0
 | 37 |  |  |  | 40 | 1800
 | 38 |  |  |  | 20 | 900
 | 39 |  |  |  | 40 | 1800
 | 40 |  |  |  | 0 | 0
 | 41 |  |  |  | 40 | 1800
 | 42 |  |  |  | 40 | 1800
 | 43 |  |  |  | 40 | 1800
 | 44 |  |  |  | 40 | 1800
 | 45 |  |  |  | 40 | 1800
 | 46 |  |  |  | 40 | 1800
 | 47 |  |  |  | 40 | 1800
 | 48 |  |  |  | 40 | 1800
 | 49 |  |  |  | 40 | 1800
 | 50 |  |  |  | 40 | 1800
 | 51 |  |  |  | 40 | 1800
 | 52 |  |  |  | 40 | 1800
 | PAY PERIODS EXCLUDED:
 | START END | END DATE | START END | END DATE | START END | END DATE | START END | END DATE | Total Earned:
 | 2024-07-10 00:00:00 |  | 2024-10-30 00:00:00 |  | 2024-01-26 00:00:00 |  | 2024-03-14 00:00:00 |  | AWW:
 | 2024-07-18 00:00:00 |  | 2024-11-23 00:00:00 |  | 2024-02-03 00:00:00 |  | 2024-03-30 00:00:00 |  | TD RATE:
 | 2024-09-04 00:00:00 |  | 2024-12-17 00:00:00 |  | 2024-02-19 00:00:00 |  | 2024-04-15 00:00:00 |  | # OF PAY PERIODS EXCLUDED
 | 2024-10-14 00:00:00 |  | 2024-01-02 00:00:00 |  | 2024-03-06 00:00:00 |  | 2024-05-01 00:00:00
Spreadsheet: 889638d1740527110-creating-a-dynamic-table-that-filters-based-on-multiple-data-validation-filters-dynamic_sumifs_filter_all
Sheet: PROV COMP

 | Provider Comp
 | Type | Type A
 | State | ALL
 | Status | Status A |  | Need a formula that is able to SUMIFS data from the "Data Stack" tab but leveraging the 3 filters
 |  |  |  | It gets tricky because "ALL" (aka, no filter) is also an option
 |  | 2024-01-01 00:00:00
 | Billing |  | 482419.6341702084 | 491773.666431602 | 516987.8617618072 | 531919.5835966836 | 487443.6787685726 | 740771.7258821208 | 759223.8057882012 | 740906.8380182527 | 801031.3580697812 | 758753.6579652217 | 732969.6909274877 | 945786.7560815131
 | Fees |  | 230105 | 234502.5 | 238237.5 | 237222.5 | 256445 | 336199 | 315645.5215915071 | 319044.21 | 385497.75 | 362217.3333333334 | 305433.79 | 375831.96
 | Payroll - Status A |  | 488174.2096025649 | 469074.3558310401 | 473528.4279692305 | 477265.2596384615 | 401235.6527809487 | 644036.3767957925 | 630921.6391846156 | 644120.8384615385 | 674559.9663692306 | 683771.1590230769 | 661688.8556307694 | 683060.4390615384
 | Payroll - Status B |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1600 | 0 | 0 | 2100
 |  | 2024-01-01 00:00:00 | 2024-02-01 00:00:00 | 2024-03-01 00:00:00 | 2024-04-01 00:00:00 | 2024-05-01 00:00:00 | 2024-06-01 00:00:00 | 2024-07-01 00:00:00 | 2024-08-01 00:00:00 | 2024-09-01 00:00:00 | 2024-10-01 00:00:00 | 2024-11-01 00:00:00 | 2024-12-01 00:00:00 | 2025-01-01 00:00:00
 | Billing | 449920.3273383797 | 482419.6341702084 | 491773.666431602 | 516987.8617618072 | 531919.5835966836 | 487443.6787685726 | 740771.7258821208 | 759223.8057882012 | 740906.8380182527 | 801031.3580697812 | 758753.6579652217 | 732969.6909274877 | 945786.7560815131
 | Fees | 178500 | 230105 | 234502.5 | 238237.5 | 237222.5 | 256445 | 336199 | 315645.5215915071 | 319044.21 | 385497.75 | 362217.3333333334 | 305433.79 | 375831.96
 | Payroll - Status A | 364680.6262048558 | 488174.2096025649 | 469074.3558310401 | 473528.4279692305 | 477265.2596384615 | 401235.6527809487 | 644036.3767957925 | 630921.6391846156 | 644120.8384615385 | 674559.9663692306 | 683771.1590230769 | 661688.8556307694 | 683060.4390615384
 | Payroll - Status B | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1600 | 0 | 0 | 2100
Spreadsheet: c2e0d1c0-5db0-4b8b-b85e-057590dad2ff
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
FHYDR | Test | FHYDR | [NAME] (Hycodan), Serum | Hydrocodone (Hycodan) | Liquid Chromatography/Tandem Mass Spectrometry (LC/MS/MS) | Green-Top Tube (Sodium Heparin): GrnNaHp OR Plain, Red-Top Tube: Red OR |  |  | 3 | mL | Submit only 1 of the following specimens:   Plasma Draw blood in a green-top (sodium heparin) tube(s), plasma gel tube is not acceptable. Spin down and send 3 mL sodium heparin plasma refrigerated in a plastic vial.   Serum Draw blood in a plain red-top tube(s), serum gel tube is not acceptable. Spin down and send 3 mL of serum refrigerated in a plastic vial. | 0.6 mL | Hemolysis	NA Thawing	Warm OK; Cold OK Lipemia	NA Icterus	NA Other	NA | [NAME]: 10 - 40 ng/mL  Test Performed by: Medtox Laboratories, Inc.                              402 W. County Road D                              St. Paul, MN 55112 | Monday through Sunday | 3 days | 5 - 7 days | 1 | 83925 |  |  |  |  | Medtox Laboratories, Inc.
FHYDR | [NAME] | VARIES | Varies |  |  |  | Refrigerated | 14 days
FHYDR | Result | Z3545 | [NAME] (Hycodan, Vicodin) | [NAME] (Hycodan, Vicodin) | Alphanumeric |  |  |  |  |  |  |  |  |  |  |  |  |  |  | In Process
Spreadsheet: 27912d1221641924-how-to-change-a-calculated-cell-to-a-value-customers
Sheet: DBase

DATA | CUSTOMER |  | Month | Year | Customer
2008-01-02 00:00:00 | 1245 |  | 1 | 2008 | 1245
2008-01-02 00:00:00 | 1587 |  | 1 | 2008 | 1587 | 1587
2008-01-02 00:00:00 | 1689 |  | 1 | 2008 | 1689
2008-01-02 00:00:00 | 1544 |  | 1 | 2008 | 1544
2008-02-01 00:00:00 | 1689 |  | 2 | 2008 | 1689
2008-02-02 00:00:00 | 1245 |  | 2 | 2008 | 1245
2008-02-03 00:00:00 | 1689 |  | 2 | 2008 | 1689
Spreadsheet: 879668d1727235460-formula-to-sum-all-previous-interest-interest-question
Sheet: Sheet1

 | Loan Amt | Payment Date | Interest | 2021-03-31 00:00:00 | 2021-04-30 00:00:00 | 2021-05-31 00:00:00 | 2021-06-30 00:00:00 | 2021-07-31 00:00:00 | 2021-08-31 00:00:00 | 2021-09-30 00:00:00 | 2021-10-31 00:00:00 | 2021-11-30 00:00:00 | 2021-12-31 00:00:00 | 2022-01-31 00:00:00 | 2022-02-28 00:00:00 | 2022-03-31 00:00:00 | 2022-04-30 00:00:00 | 2022-05-31 00:00:00 | 2022-06-30 00:00:00 | 2022-07-31 00:00:00 | 2022-08-31 00:00:00 | 2022-09-30 00:00:00 | 2022-10-31 00:00:00 | 2022-11-30 00:00:00 | 2022-12-31 00:00:00 | 2023-01-31 00:00:00 | 2023-02-28 00:00:00 | 2023-03-31 00:00:00 | 2023-04-30 00:00:00 | 2023-05-31 00:00:00 | 2023-06-30 00:00:00 | 2023-07-31 00:00:00 | 2023-08-31 00:00:00 | 2023-09-30 00:00:00 | 2023-10-31 00:00:00 | 2023-11-30 00:00:00
 | 500000 | 2022-02-27 00:00:00 | 0.032
 | 25000 | 2022-07-15 00:00:00 | 0.02
 | 500000 | 2022-07-15 00:00:00 | 0.032
 | 15000 | 2022-05-06 00:00:00 | 0.015
 | 150000 | 2022-12-19 00:00:00 | 0.039
 |  |  |  | 2021-03-31 00:00:00 | 2021-04-30 00:00:00 | 2021-05-31 00:00:00 | 2021-06-30 00:00:00 | 2021-07-31 00:00:00 | 2021-08-31 00:00:00 | 2021-09-30 00:00:00 | 2021-10-31 00:00:00 | 2021-11-30 00:00:00 | 2021-12-31 00:00:00 | 2022-01-31 00:00:00 | 2022-02-28 00:00:00 | 2022-03-31 00:00:00 | 2022-04-30 00:00:00 | 2022-05-31 00:00:00 | 2022-06-30 00:00:00 | 2022-07-31 00:00:00 | 2022-08-31 00:00:00 | 2022-09-30 00:00:00 | 2022-10-31 00:00:00 | 2022-11-30 00:00:00 | 2022-12-31 00:00:00 | 2023-01-31 00:00:00 | 2023-02-28 00:00:00 | 2023-03-31 00:00:00 | 2023-04-30 00:00:00 | 2023-05-31 00:00:00 | 2023-06-30 00:00:00 | 2023-07-31 00:00:00 | 2023-08-31 00:00:00 | 2023-09-30 00:00:00 | 2023-10-31 00:00:00 | 2023-11-30 00:00:00
 |  |  | Payment for Loan
 |  |  | Payment for Interest
 |  |  | Total
 |  |  |  |  |  |  |  |  |  |  | * How do I get the formula for the [NAME] part?
Spreadsheet: 63577d1264466883-multiple-fields-to-multiple-rows-for-want-of-a-better-description-sat-upload-
Sheet: Customers

QuickRef | [NAME] | Customer | Title | Contact | Street | Town | City | Region | Postcode | [NAME] | Mob | Comments
 | C000001 | The Old Crown | Mrs. | [NAME] | [NAME] | [NAME] | Rochford City | Rochfordshire | 12345 | 954500001 | 678900001
 | C000002 |  | Mr. | [NAME] | [NAME] | [NAME] | Davis City | Davisshire | 12346 | 954500002 | 678900002
 | C000003 |  | Mr. | [NAME] | Jefferson Street | [NAME] | Jefferson City | [NAME] | 12347 | 954500003 | 678900003
 | C000004 |  | Mr. | Blair Davies | Davies Street | Davies Town | Davies City | Daviesshire | 12348 | 954500004 | 678900004
 | C000005 | The New Inn | Mr. | [NAME] | Waller Street | Waller Town | Waller City | Wallershire | 12349 | 954500005 | 678900005
 | C000006 |  | Mr. | [NAME] | Feaviour Street | [NAME] | Feaviour City | Feaviourshire | 12350 | 954500006 | 678900006
 | C000007 |  | Mr. | [NAME] | Hunter Street | [NAME] | Hunter City | Huntershire | 12351 | 954500007 | 678900007
 | C000008 | The Pig & Whistle | Mr. | [NAME] | Holland Street | Holland Town | Holland City | Hollandshire | 12352 | 954500008 | 678900008 | Call before 11am
 | C000009 |  | Mr. | [NAME] | [NAME] | [NAME] | Daye City | Dayeshire | 12353 | 954500009 | 678900009
 | C000010 |  | Mr. | [NAME] | Thompson Street | Thompson Town | Thompson City | Thompsonshire | 12354 | 954500010 | 678900010
 | C000011 |  | Miss. | [NAME] | Maxwell Street | Maxwell Town | Maxwell City | Maxwellshire | 12355 | 954500011 | 678900011
 | C000012 | The Fox & Hound | Mr. | [NAME] | [NAME] | [NAME] | Andrew City | Andrewshire | 12356 | 954500012 | 678900012
 | C000013 |  | Mr. | [NAME] | Rodriguez Street | Rodriguez Town | Rodriguez City | [NAME] | 12357 | 954500013 | 678900013 | Doesn't speak English
 | C000014 |  | Mrs. | [NAME] | Smith Street | Smith Town | Smith City | Smithshire | 12358 | 954500014 | 678900014
 | C000015 | The British Supermarket | Mr. | [NAME] | Flint Street | Flint Town | Flint City | Flintshire | 12359 | 954500015 | 678900015
 | C000016 |  | Mr. | [NAME] | Jones Street | Jones Town | Jones City | Jonesshire | 12360 | 954500016 | 678900016
 | C000017 |  | Mr. | [NAME] | O'Keefe Street | O'Keefe Town | O'Keefe City | O'Keefeshire | 12361 | 954500017 | 678900017
Spreadsheet: 30969d1226662567-summary-sheet-problem-2009-pipeline-test
Sheet: Summary

Summary Of 2009 Events Key Opportunities by Area, Tier and Status
 |  | 1 |  |  | 0.95 |  |  | 0.75 |  |  | 0.5 |  |  | 0.25 |  | Grand Total
Sum of Total | Tier 1 | [NAME] | Tier 3 | Tier 1 | [NAME] | Tier 3 | Tier 1 | [NAME] | Tier 3 | Tier 1 | [NAME] | Tier 3 | Tier 1 | [NAME] | Tier 3
Area | € | € | € | € | € | € | € | € | € | € | € | € | € | € | €
Central |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
Scotland |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
South East |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
South West |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
Grand Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
Totals | 0 |  |  | 0 |  |  | 0 |  |  | 0 |  |  | 0
 |  |  | Prospect Totals
Sum of Total | 2009 Budget | 2009 orders | [NAME] | [NAME] | [NAME] | Prospect Total | 2008 Gap
Area | € | € | € | € | € | € | €
Central | 1476487 | 0 | 0 | 0 | 0 | 0
Scotland | 308903 | 0 | 0 | 0 | 0 | 0
South East | 2194127 | 0 | 0 | 0 | 0 | 0
South West | 1584308 | 0 | 0 | 0 | 0 | 0
Grand Total | 5563825 | 0 | 0 | 0 | 0 | 0
 |  |  |  | 0.95 | 0.75 | 0.5 | 0.25
 | Orders |  |  | Prospects
 | Tier 1 | [NAME] | Tier 3 | Tier 1 | [NAME] | Tier 3
 | 6380 | 85492 | 68904 | #N/A