tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 49515cff-63cf-48b1-9b81-ac730338edf1
Sheet: Sheet1

LABEL | UPC | ARTIST | TITLE | RELEASEDATE | PRODUCTTYPE | GENRE | PRICE | [NAME] | STATUS
Word Records | 80688678920 | [NAME] | Call On [NAME] | 2006-07-11 | Studio Series 3-Key CD Trax | Na | 9.99 | Y | Available
Word Records | 80688720926 | [NAME] | One Touch (Press) | 2007-05-22 | Studio Series 3-Key CD Trax | Ac | 9.99 | Y | Available
Word Records | 80688680121 | [NAME] | On My Knees | 2006-07-11 | Studio Series 3-Key CD Trax | Na | 9.99 | Y | Available
Word Records | 80688678722 | [NAME] | Redeemer | 2006-07-11 | Studio Series 3-Key CD Trax | Na | 9.99 | Y | Available
Word Records | 80688720827 | [NAME] | I Wish | 2007-05-01 | Studio Series 3-Key CD Trax | Ac | 9.99 | N | To Be Retired
Word Records | 80688720728 | [NAME] | Convinced | 2007-06-26 | Studio Series 3-Key CD Trax | Ac | 9.99 | N | To Be Retired
Word Records | 80688681326 | [NAME] | Heaven | 2006-07-11 | Studio Series 3-Key CD Trax | Na | 9.99 | N | To Be Retired
Word Records | 80689470622 | [NAME] | I Am | 2005-02-18 | Studio Series 3-Key CD Trax | Na | 9.99 | N | To Be Retired
Spreadsheet: 47865d1247036883-sorting-non-unique-rows-of-data-into-another-worksheet-example
Sheet: 320

Account | ID# | Src | Date | Memo/Payee | Debit | Credit | Code | Job No. | Job Name
01 | ID-2 | GJ | 4/2/2009 |  | 53253 |  | 320
01 | ID-2 | GJ | 1/2/2009 |  | 352 |  | 320
Spreadsheet: 0d9249be-d2a9-44a1-aa83-abfa30b287ad
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
VS | Test | VS | Vanadium, Serum | Vanadium, S | Dynamic Reaction Cell-Inductively Coupled Plasma-Mass Spectrometry (DRC-ICP-MS) | Royal blue-top Monoject trace element blood collection tube: RylBlue |  |  | 1.6 | mL | Collection Container/Tube: Plain, royal blue-top [NAME] plastic trace element blood collection tube, catalog #368380 (Supply T184) Submission Container/Tube: 7-mL Mayo metal-free, screw-capped, polypropylene vial (Supply T173) [NAME]: 1.6 mL Collection Instructions: 1. Allow the specimen to clot for 30 minutes; then centrifuge the specimen to separate serum from the cellular fraction. 2. Remove the stopper. Carefully pour specimen into Mayo metal-free, polypropylene vial, avoiding transfer of the cellular components of blood. Do not insert a pipette into the serum to accomplish transfer, and do not ream the specimen with a wooden stick to assist with serum transfer. 3. See Metals Analysis-Collection and Transport in Special Instructions for complete instructions. Additional Information: High concentrations of gadolinium and iodine are known to interfere with most metals tests. If either gadolinium- or iodine-containing contrast media has been administered, a specimen should not be collected for 96 hours. | 0.4 mL | Hemolysis	Mild OK; Gross OK Thawing	Warm OK; Cold OK Lipemia	Mild OK; [NAME] OK Icterus	Mild OK; Gross reject Other	NA | Normal: <1.0 ng/mL | Tuesday, Thursday; 3 p.m. | 1 day | 5 days | 1 | 83018 |  |  |  |  | Rochester
VS | [NAME] | SERUM | Serum |  |  |  | Refrigerated | 7 days
VS | Result | 83396 | Vanadium, S | Vanadium, S | Numeric |  |  |  |  | ng/mL |  |  |  |  |  |  |  |  |  | 5756-2 | Vanadium:MCnc:Pt:Ser/Plas:Qn:
Spreadsheet: 121600d1316188036-help-on-designing-a-workbook-wcb-sandbox2
Sheet: Prices

Description | Price
C | 7
L | 9
P | 12
Ref C | 3.5
Ref L | 4.5
D/C C | 14
D/C L | 19
D/C P | 24
None | 0
Spreadsheet: 149665d1334074074-combine-data-from-2-cells-that-have-a-date-in-them-excel-help
Sheet: Cabin Creek

Period |  |  | DAYS | [NAME] | AMOUNT | COST/DAY
2009-12-11 00:00:00 | to | 2009-01-09 00:00:00 | 30 | 381.4 | 16432.91
2009-01-10 00:00:00 | to | 2009-02-10 00:00:00 | 32 | 408.8 | 18510.28
2009-02-11 00:00:00 | to | 2009-03-12 00:00:00 | 30 | 391.4 | 16784.2
2009-03-13 00:00:00 | to | 2009-04-13 00:00:00 | 32 | 391.2 | 17410.46
2009-04-14 00:00:00 | to | 2009-05-12 00:00:00 | 29 | 354.9 | 14788.55
2009-05-13 00:00:00 | to | 2009-06-11 00:00:00 | 30 | 353.5 | 15904.17
2009-06-12 00:00:00 | to | 2009-07-13 00:00:00 | 32 | 354.4 | 16719.98
2009-07-14 00:00:00 | to | 2009-08-12 00:00:00 | 30 | 347.2 | 15547.61
2009-08-13 00:00:00 | to | 2009-09-11 00:00:00 | 30 | 372.7 | 16935.44
2009-09-12 00:00:00 | to | 2009-10-13 00:00:00 | 32 | 358.8 | 17488.93
2009-10-14 00:00:00 | to | 2009-11-12 00:00:00 | 30 | 380.1 | 17713.22
2009-11-13 00:00:00 | to | 2009-12-14 00:00:00 | 32 | 390.2 | 19723.18
2009-12-15 00:00:00 | to | 2010-01-13 00:00:00 | 30 | 422.4 | 20642.36
2010-01-14 00:00:00 | to | 2010-02-11 00:00:00 | 29 | 418.5 | 19820.46
2010-02-12 00:00:00 | to | 2010-03-12 00:00:00 | 29 | 408.5 | 19254.06
2010-03-13 00:00:00 | to | 2010-04-13 00:00:00 | 32 | 388.9 | 19162.84
2010-04-14 00:00:00 | to | 2010-05-12 00:00:00 | 29 | 365.1 | 17044.61
2010-05-13 00:00:00 | to | 2010-06-10 00:00:00 | 29 | 385.3 | 16573.72
2010-06-11 00:00:00 | to | 2010-07-12 00:00:00 | 32 | 451.1 | 21163.35
2010-07-13 00:00:00 | to | 2010-08-10 00:00:00 | 29 | 372.4 | 17747.58
2010-08-11 00:00:00 | to | 2010-09-09 00:00:00 | 30 | 417.3 | 18012.72
2010-09-10 00:00:00 | to | 2010-10-08 00:00:00 | 30 | 362.5 | 15372.39
2010-10-09 00:00:00 | to | 2010-11-08 00:00:00 | 31 | 341.9 | 16126.43
2010-11-09 00:00:00 | to | 2010-12-08 00:00:00 | 30 | 396.8 | 18618.42
2010-12-09 00:00:00 | to | 2011-01-07 00:00:00 | 30 | 409.6 | 20256.64
2011-01-08 00:00:00 | to | 2011-02-07 00:00:00 | 31 | 411.9 | 22241.58
2011-02-08 00:00:00 | to | 2011-03-08 00:00:00 | 29 | 409.1 | 20060.26
2011-03-09 00:00:00 | to | 2011-04-07 00:00:00 | 30 | 433.7 | 20179.18
2011-04-08 00:00:00 | to | 2011-05-06 00:00:00 | 29 | 370.3 | 17305.7
2011-05-07 00:00:00 | to | 2011-06-07 00:00:00 | 32 | 396.5 | 19999.99
2011-06-08 00:00:00 | to | 2011-07-07 00:00:00 | 30 | 410.5 | 17849.05
2011-07-08 00:00:00 | to | 2011-08-08 00:00:00 | 32 | 429.7 | 18923.74
2011-08-09 00:00:00 | to | 2011-09-07 00:00:00 | 30 | 353.2 | 15596.43
2011-09-08 00:00:00 | to | 2011-10-06 00:00:00 | 29 | 348.5 | 15962.23
2011-10-07 00:00:00 | to | 2011-10-06 00:00:00 | 32 | 371.2 | 16908.67
2011-11-08 00:00:00 | to | 2011-12-07 00:00:00 | 30 | 364.2 | 16592.09
2011-12-08 00:00:00 | to | 2012-01-06 00:00:00 | 30 | 381.4 | 17914.36
2012-01-07 00:00:00 | to | 2012-02-07 00:00:00 | 32 | 403.8 | 20321.75
2012-02-08 00:00:00 | to | 2012-03-07 00:00:00 | 29 | 363 | 17608.32
Spreadsheet: 5cf7d403-bf27-41a0-add6-3626d876a4ed
Sheet: Projected Income

 | INCOME | September | October | November | December | Semester Total
 | Vending Machine | 400 | 400 | 400 | 400
 | Recycling | 70 | 70 | 70 | 70
 | Pop Machine | 50 | 50 | 50 | 50
 | Brother Fees | 1000 | 400
 | Parking | 220 | 315 | 315 | 315
 | T-Shirt Sales | 80 | 80 | 80 | 80
 | Coin Laundry | 120 | 120 | 120 | 120
 | House Company |  | 450
 | Monthly Totals
Spreadsheet: 823098d1679699369-power-query-custom-column-how-to-return-same-cell-ref-value-from-multiple-workbooks-power-query-custom-column-for-supplier-name
Sheet: Sheet1

[NAME] | Snook Ltd |  |  |  |  |  | Expected Output:
Region/County |  | Able to supply? |  |  |  |  | Supplier | Region | Status
 |  |  |  |  |  |  | Snook Ltd | 1. Scotland | YES
REGION | COUNTY |  |  |  |  |  | Snook Ltd | 4. Northern Ireland | YES
1. Scotland | All of Scotland | YES |  | Data in these rows is |  |  | Snook Ltd | 5. Wales | YES
 |  |  |  | consolidated from this table |  |  | Snook Ltd | 2. North West | YES
4. Northern Ireland | All of Northern Ireland | YES |  | and the supplier name cell. |  |  | Snook Ltd | 3. North East and [NAME] | YES
 |  |  |  |  |  |  | Snook Ltd | 6. Midlands | YES
5. Wales | All of Wales | YES |  |  |  |  | Snook Ltd | 7. East of England | NO
 |  |  |  |  |  |  | Snook Ltd | 10. London | YES
2. North West | Merseyside | YES |  |  |  |  | Snook Ltd | 8. South West | NO
 | Greater Manchester |  |  |  |  |  | Snook Ltd | 9. South East | YES
 | Cumbria |  |  |  |  |  | Liver plc | 1. Scotland | YES
 | Cheshire |  |  |  |  |  | Liver plc | 4. Northern Ireland | YES
 | Lancashire |  |  |  |  |  | Liver plc | 5. Wales | YES
 |  |  |  |  |  |  | Liver plc | 2. North West | YES
3. North East and [NAME] | [NAME] | YES |  |  |  |  | Liver plc | 3. North East and [NAME] | YES |  | Data for example purposes
 | West Yorkshire |  |  |  |  |  | Liver plc | 6. Midlands | YES
 | South Yorkshire |  |  |  |  |  | Liver plc | 7. East of England | YES
 | Northumberland |  |  |  |  |  | Liver plc | 10. London | NO
 | [NAME] |  |  |  |  |  | Liver plc | 8. South West | NO
 | East Riding of [NAME] |  |  |  |  |  | Liver plc | 9. South East | NO
 | [NAME] and [NAME]
6. Midlands | Lincolnshire | YES
 | Staffordshire
 | Northamptonshire |  |  |  |  |  | When Power Query processes subsequent workbooks, how can I
 | Shropshire |  |  |  |  |  | get it to pull in the supplier name from that workbook?
 | West Midlands |  |  |  |  |  | I've managed to create a custom column that pulls the supplier name from
 | Derbyshire |  |  |  |  |  | the first workbook down the range, but I'm struggling to create one that reflects
 | Warwickshire |  |  |  |  |  | the supplier from the workbook that it relates to, i.e. the one being processed.
 | Nottinghamshire
 | [NAME]
 | Leicestershire
 | Herefordshire
 | Rutland
7. East of England | Bedfordshire | NO
 | Cambridgeshire
 | Essex
 | Hertfordshire
 | Norfolk
 | Suffolk
10. London | Greater London | YES
 | City of London
 | [NAME]
 | Kent
8. South West | Cornwall | NO
 | Somerset
 | [NAME]
 | Gloucestershire
 | Dorset
 | Wiltshire
 | Bristol
9. South East | Hampshire | YES
 | West Sussex
 | Oxfordshire
 | East Sussex
 | Buckinghamshire
 | Berkshire
 | Isle of Wight
Spreadsheet: 96931d1296166983-countif-on-partial-cell-data-test
Sheet: Sheet1

 |  | Date
 |  | 11 Nov 2010 00:00:00 |  |  | Month | Total
 |  | 13 Dec 2010 17:31:41 |  |  | 2010-11-01 00:00:00
 |  | 12 Nov 2010 00:00:00 |  |  | 2010-12-01 00:00:00
 |  | 30 Dec 2010 16:35:52 |  |  | 2011-01-01 00:00:00
 |  | 15 Dec 2010 11:38:30
 |  | 31 Dec 2010 12:35:21
 |  | 30 Dec 2010 12:06:38
 |  | 30 Nov 2010 13:36:57
 |  | 17 Nov 2010 00:00:00
 |  | 22 Dec 2010 14:45:11
 |  | 10 Jan 2011 10:09:04
 |  | 12 Jan 2011 17:22:16
 |  | 12 Jan 2011 11:41:28
 |  | 25 Jan 2011 16:28:51
 |  | 19 Jan 2011 16:27:13
 |  | 14 Jan 2011 14:43:32
 |  | 13 Jan 2011 08:38:01
 |  | 30 Dec 2010 09:31:08
 |  | 20 Jan 2011 15:50:43
 |  | 29 Nov 2010 11:25:53
 |  | 07 Dec 2010 16:11:24
 |  | 10 Jan 2011 10:03:11
 |  | 21 Jan 2011 12:47:10
 |  | 19 Jan 2011 15:54:14
 |  | 16 Dec 2010 16:11:22
Spreadsheet: 728133d1618331877-xlookup-when-there-are-blanks-in-the-data-book1
Sheet: Sheet1

[NAME] | No. Customers | Net Sales | Profit / Loss
[NAME] | 8 | 1592 | 563
[NAME] | 8 | 1088 | 397 |  |  | Salesperson | [NAME]
Skyler Hale | 8 | 1680 | 753
Lorena Washington | 9 | 2133 | 923
[NAME] | 10 | 1610 | 579
[NAME] | 10 | 1540 | 570
[NAME] | 7 | 1316 | 428
[NAME] | 7 | 1799 | 709
[NAME] | 8 | 1624 | 621
[NAME] | 6 | 726 | 236
[NAME] | 9 | 2277 | 966
[NAME] | 6 | 714 | 221
[NAME] | 9 | 2682 | 1023
[NAME] | 8 | 2724 | 1498
[NAME] | 9 | 1779 | 551
[NAME] | 11 | 1497 | 554
Lucas Novak | 12 | 2652 | 1379
[NAME] | 7 | 1415 | 792
[NAME]
[NAME]
Spreadsheet: 620101d1555330064-rota-in-excel-formula-for-creating-daily-overview-based-on-shifts-times-rota-example-aligw
Sheet: Daily

2019-05-06 00:00:00 | 6-2 | 7-3 | 8-4 | 9-5 | 10-6 | 12-8 | 1-9 | 2-10 | 3-11 | 4-12 | 5-11 | 6-11
06/05/19 used as example
Spreadsheet: 135528d1326114408-vlookup-data-validation-npt1
Sheet: Picklists

Year | Month | Day | [NAME] | NPT type | Provider | Equipment
2011 | Jan | 1 | Rig-101 | Waiting on Materials | Ryboa [NAME] | Pump
2012 | Feb | 2 | Rig-102 | Waiting on Orders | OXY Rig Shop | Tubing
2013 | Mar | 3 | Rig-103 | Waiting on Service Provider | OXY Pump Shop | Rods
 | Apr | 4 | Rig-104 | Weather | OXY Eng | Mechanic
 | May | 5 | Rig-105 | [NAME] | SLB | [NAME]
 | Jun | 6 | Rig-106 | [NAME] | OXY Opns | [NAME]
 | Jul | 7 | RSR-2 | Other | OXY Equipment | [NAME]
 | Aug | 8 | RSR-3 | Inspection | Halliburton | TMX
 | Sep | 9 | RSR-4 |  | [NAME] | ESP
 | Oct | 10 | TMX-1 |  | Aggreko | Electrician
 | Nov | 11 | TMX-2 |  | WFT | Operator
 | Dec | 12 | RAY-01 |  | Other | Forklift
 |  | 13 | RAY-02 |  | [NAME] | Crane
 |  | 14 | RAY-03 |  | PCM | Water Truck
 |  | 15 | RAY-04 |  |  | Pump
 |  | 16 |  |  |  | Engineer
 |  | 17 |  |  |  | Workover tools
 |  | 18 |  |  |  | Welder
 |  | 19 |  |  |  | Decision
 |  | 20 |  |  |  | Other
 |  | 21 |  |  |  | Trailer
 |  | 22 |  |  |  | Crew
 |  | 23 |  |  |  | Truck
 |  | 24
 |  | 25
 |  | 26
 |  | 27
 |  | 28
 |  | 29
 |  | 30
 |  | 31
Spreadsheet: 44695d1243459993-listing-unique-values-and-summing-w-o-a-pivot-table-listing-unique-values-and-summing-wo-a-pivot-table-2
Sheet: Sheet1

 | Sample Data |  |  |  | Desired results
 | Event Code | Qty of related Minutes |  |  | Unique Codes | Associted Total Minutes | Number of instances |  | 1) Trying to look at B$3:$B$9, list the unique values in that range
 | 23 | 10 |  |  | 23 | 50 | 3 |  | 2) For the unique values, sum their minutes from $C3:$C:$9
 | 26 | 20 |  |  | 26 | 50 | 2 |  | 3) Further, sum the quantity of instance each code occurs
 | 27 | 10 |  |  | 27 | 10 | 1
 | 23 | 30 |  |  | 25 | 10 | 1
 | 25 | 10 |  |  | #N/A | 0 | 0
 | 26 | 30 |  |  | #N/A | 0 | 0
 | 23 | 10 |  |  | #N/A | 0 | 0
Spreadsheet: 185909d1349877260-how-to-use-conditional-vlookup-0a1_fot_excel_query1
Sheet: Main File eg.

 |  |  |  |  |  |  |  | Fail |  | Pass W/E | Pass
Name | [NAME] | Status |  |  |  |  | A
A | 1 | Pass |  |  |  |  | B
B | 2 | Pass |  |  |  |  | C
C | 4 | Fail |  |  |  |  | D
D | 5 | Pass
A | 3
A | 2 | Fail
D | 1 | Pass W/E
A | 3
C | 2 | Pass
Spreadsheet: 490491d1479894030-daily-date-to-bi-weekly-bi-weekly
Sheet: Folha1

Food | Date | bWeek |  |  | Food\2week | 1-2 | 3-4 | 19-20 | 49-50
Apple | 2016-01-03 00:00:00 |  |  |  | Apple
Apple | 2016-01-05 00:00:00 |  |  |  | Carrot
Carrot | 2016-01-10 00:00:00
Carrot | 2016-05-04 00:00:00
Apple | 2016-05-12 00:00:00
Carrot | 2016-12-02 00:00:00
 |  |  |  |  | Pivot Table
 |  |  |  |  | C_Food | RC
 |  |  |  |  | RL | 1-2 | 19-20 | 3-4 | 49-50 | Total Geral
 |  |  |  |  | Apple | 2 | 1 |  |  | 3
 |  |  |  |  | Carrot |  | 1 | 1 | 1 | 3
 |  |  |  |  | Total Geral | 2 | 2 | 1 | 1 | 6
Spreadsheet: 7adeb20c-64f4-44da-91ee-8f9ea98e9036
Sheet: Sheet1

Bevölkerung des Freistaates Sachsen nach ausgewählten Altersgruppen | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4
[NAME]
Alter von ... bis                     unter ... Jahren | 2011 | 2015 | 2020 | 2025
1 000
unter 15 | 16462 | 15830 | 15210 | 14277
15 - 65 | 89514 | 85713 | 79904 | 74318
65 und mehr | 34722 | 35777 | 38412 | 40642
Insgesamt | 140698 | 137320 | 133526 | 129237
%
unter 15 | 11.70023738788042 | 11.52781823478008 | 11.39103994727619 | 11.04714594117783
15 - 65 | 63.62137343814411 | 62.41843868336731 | 59.84152899060857 | 57.50520361815889
65 und mehr | 24.67838917397546 | 26.05374308185261 | 28.76743106211525 | 31.44765044066328
Insgesamt | 100 | 100 | 100 | 100
Abhängigkeitsquotient
Jugendquotient | 18.39041937574011 | 18.46861036248877 | 19.03534241089307 | 19.21068920046288
Altenquotient | 38.78946310074402 | 41.74045944022494 | 48.0726872246696 | 54.68661697031675
Gesamtquotient | 57.17988247648412 | 60.20906980271371 | 67.10802963556267 | 73.89730617077961
Gebietsstand: | 31. [NAME] 2008
Quelle: | 2011 Bevölkerungsfortschreibung auf Basis der [NAME] vom 03. Oktober 1990
 | 2012 - 2025 Bevölkerungsprognose
Bevölkerung jeweils am 31. Dezember
Prognoseergebnisse werden bei der Veröffentlichung immer auf volle [NAME] gerundet. [NAME] basieren [NAME] ungerundeten Werten. Beim [NAME] der [NAME] werden Ihnen die ungerundeten [NAME] zur Verfügung gestellt, damit [NAME] eigenen Berechnungen genauer durchführen können. Die Darstellung der Ergebnisse sollte dann aber wieder gerundet erfolgen.
Spreadsheet: eric_saibi__9693__Market briefs
Sheet: Sheet1

Market Brief | Thursday, December 27
Stocks | Close | Change | % Change
DJIA | 10131.31 | 43.17000000000007 | 0.004279282404883365
DJ 15 Util. | 292.86 | 3.06 | 0.01055900621118013
NASDAQ | 1976.36 | 15.65999999999985 | 0.007986943438567784
S&P 500 | 1157.12 | 7.75 | 0.006742824329850267
Market Vols | Close | Change | % Change
AMEX (000) | 88986 | -6091 | -0.06406386402599998
NASDAQ (000) | 1229831 | 102400 | 0.09082595742001062
NYSE (000) | 881030 | 88396 | 0.1115218373170972
Commodities | Close | Change | % Change
Crude Oil (Feb) | 20.9 | -0.370000000000001 | -0.01739539257169727
Heating Oil (Jan) | 0.5927 | -0.001900000000000013 | -0.003195425496131875
Nat. Gas (Henry) | 2.52 | -0.391 | -0.1343181037444177
Propane (Jan) | 33.75 | -0.5 | -0.0145985401459854
Palo Verde (Jan) | 28 | 0 | 0
COB (Jan) | 28 | 0 | 0
PJM (Jan) | 31.15 | 0 | 0
Dollar US $ | Close | Change | % Change
Australia $ | 1.97 | 0.002000000000000002 | 0.001016260162601627
Canada $ | 1.597 | -0.004000000000000004 | -0.002498438475952532
Germany Dmark | 2.214 | -0.01100000000000012 | -0.004943820224719155
Euro | 0.8835 | 0.004399999999999959 | 0.005005118871573154
Japan ¥en | 131.7 | 0.8999999999999773 | 0.006880733944953954
Mexico NP | 9.13 | 0 | 0
[NAME] | 0.6885 | 0.0006000000000000449 | 0.0008722197993895115
Foreign Indices | Close | Change | % Change
Arg MerVal | 320.46 | 0 | 0
[NAME]. | 3354.7 | 19.5 | 0.005846725833533222
[NAME] | 13755.65 | 397.23 | 0.02973630114938739
Can TSE 300 | 7650.6 | 98.01000000000022 | 0.01297700523926232
Germany DAX | 5117.13 | 98.11999999999989 | 0.01954967214649899
[NAME] | 11359.5 | 149.7199999999993 | 0.01335619432317131
Japan Nikkei 225 | 10457.61 | 265.0400000000009 | 0.02600325531244827
[NAME] | 6414.6 | 6371.84 | 0.005328652477823402
UK FTSE 100 | 5213.2 | 35.8 | 0.0069
Source:  Yahoo!, TradingDay.com and NYMEX.com
Spreadsheet: 124832d1318631223-excel-2007-if-statement-and-match-function-problem-cost
Sheet: Main

 | Type | Error | Cost
1 | PC | Harddrive
2 | MAC | Harddrive
3 | PC | Monitor
4 | MAC | Monitor
5 | PC | Keyboard
6 | PC | Touchpad
7 | PC | Sound
Spreadsheet: 0b36b3c7-e80c-47f9-ac09-d1dc964264bc
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
SPRU | Test | SPRU | Spruce, IgE | Spruce, 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
SPRU | [NAME] | SERUM | Serum |  |  |  | Refrigerated | 14 days
SPRU | Result | SPRU | Spruce, IgE | Spruce, IgE | Numeric |  |  |  |  | kU/L |  |  |  |  |  |  |  |  |  | 6857-7 | Picea excelsa [NAME].IgE:ACnc:Pt:Ser:Qn:
Spreadsheet: 137619d1327260906-excel-or-access-for-manufacturing-costing-dummy-file
Sheet: Ingredients List

Supplier | [NAME] CODE | INGREDIENT | $/KG
INTERNAL | DRAL4 | DRY ROASTED ALMONDS
INTERNAL | [NAME] | BBQ SPICE MIX 2A9C007 | 7.45
Cargill | CSOR | CANE SUGAR | 1.45
Cargill | SESAL | SEA SALT | 2.15
INTERNAL | WA | WATER | 0
NutCo | ALCAR | Carmel Almonds | 5.21
INTERNAL | BBQALMNDS | [NAME]
Spreadsheet: 772129d1647016556-mass-duplicating-every-row-easily-curve-tri
Sheet: Mapping

 | Rule No | Curve Group ID | Contract Type | Plan Code | New Used | Mileage Low | Mileage High | Effective Date Low | Effective Date High | Term Low | Term High | Sale Odom Low | Sale Odom High | Model Year Low | Model Year High | Update User | Update Date
 |  | 1 | 9 | PE |  |  |  | 2021-06-01 00:00:00 | 2050-12-31 00:00:00
 |  |  | 9 | PE |  |  |  | 2021-06-01 00:00:00 | 2050-12-31 00:00:00
 |  |  | 9 | PE |  |  |  | 2021-06-01 00:00:00 | 2050-12-31 00:00:00
 |  |  | 9 | PE |  |  |  | 2021-06-01 00:00:00 | 2050-12-31 00:00:00
 |  |  | 9 | PE |  |  |  | 2021-06-01 00:00:00 | 2050-12-31 00:00:00 | 12 | 12
 |  |  | 9 | PE |  |  |  | 2021-06-01 00:00:00 | 2050-12-31 00:00:00
 |  |  | 9 | WR |  |  |  | 2021-06-01 00:00:00 | 2050-12-31 00:00:00
 |  |  | 9 | WR |  |  |  | 2021-06-01 00:00:00 | 2050-12-31 00:00:00
 |  |  | 9 | WR |  |  |  | 2021-06-01 00:00:00 | 2050-12-31 00:00:00
 |  |  | 9 | WR |  |  |  | 2021-06-01 00:00:00 | 2050-12-31 00:00:00
 |  |  | 9 | WR |  |  |  | 2021-06-01 00:00:00 | 2050-12-31 00:00:00 | 12 | 12
 |  |  | 9 | WR |  |  |  | 2021-06-01 00:00:00 | 2050-12-31 00:00:00
Spreadsheet: 708649d1607962019-help-with-index-match-with-multipe-criteria-seniority-count
Sheet: Sheet2

CEO - Amministratore Delegato |  |  |  |  |  |  |  |  | VP | 23
CEO & Co-Founder - Pre-Seed AI Start Up Â© â­ï¸ |  |  |  |  |  |  |  |  | Manager | 6
Group CEO |  |  |  |  |  |  |  |  | Director | 14
Founder & Ceo |  |  |  |  |  |  |  |  | CXO | 5
CEO & Founder |  |  |  |  |  |  |  |  | Senior/Other | 1
Co-Founder and CEO
CEO
Managing Director
Managing Director
Managing Director
President & CEO
Founder & CEO
Group Controller GMV - CEO & Founder Domotic One
Co-founder & CEO
Chief Executive Officer
CEO & Founder
Director of Sales and Marketing
[NAME]
CEO and Co-founder
Sales & Marketing Director @NUO Digital Company _ Falck Group
CEO & Co-Founder
CEO & Co-Founder
Managing Director in greentech and environmental finance
Managing Director
CEO & GM
CEO
MANAGING DIRECTOR
Main Owner, Chairman [NAME]
Managing Director, Middle East, Africa & Web Studio Global Direct
Managing Director
Founder & CEO
CEO & Managing Director
CEO founder
Managing Director
Chief Digital Officer | Head of Digital Transformation
Managing Director Italy
Founder & CEO
Managing Director
Chief Executive Officer
Executive Director, International Operations
Managing Director
Managing Director
Founder e CEO
Managing Director
Founder & CEO
CEO & Managing Director
Managing Director [NAME]
CEO
CEO
Spreadsheet: darrell_schoolcraft__7804__imbalsumm0108
Sheet: EPFS

 | El Paso/TW Eddy Rec
 | 78093
Day | Measured | Scheduled
1 | 32539 | 31400
2 | 32516 | 31400
3 | 39547 | 36521
4 | 37821 | 33628
5 | 35429 | 38484
6 | 39523 | 38484
7 | 40822 | 38500
8 | 41256 | 38499
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
2001-07-31 00:00:00 |  |  | -40025.78
2001-08-08 00:00:00
CBS Volume
 |  |  | -2443
Spreadsheet: 882680d1731089820-distribute-students-evenly-and-only-once-in-repeating-sessions-according-to-wishes-wishes-reading-day-norwegianteacher-
Sheet: Round 1

08.45 - 09.20
name | grade | which wish
[NAME]
Hans
ole
[NAME]
Stacy