tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: aa6ae852-c34a-4bc7-8113-575b1590187e
Sheet: Sheet1

Unnamed: 0 | Average Sales Price, Detached Single Family Home -- Not Adjusted for Inflation (except of Sublette Sales Price in 2005 $) | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9
 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005
Sublette
Sales Price | 122608 | 104375 | 114020 | 125922 | 149179 | 163473 | 173116 | 218343 | 249029
Change from 1997 | 0 | -0.1487097089912567 | -0.07004436904606551 | 0.02702923137152551 | 0.2167150593762234 | 0.3332979903432076 | 0.41194701813911 | 0.7808218060811692 | 1.031099112619079
Change from 1998 |  | 0 | 0.09240718562874252 | 0.2064383233532934 | 0.4292598802395209 | 0.566208383233533 | 0.6585964071856287 | 1.091908982035928 | 1.385906586826347
Sales Price in 2005 $ | 149192.1644859813 | 125057.8987730061 | 133662.1008403361 | 142813.9756097561 | 164509.6482213439 | 177466.7976653697 | 183747.5804347826 | 225740.5394388566 | 249029
Wyoming
Sales Price | 91714 | 96906 | 101517 | 111437 | 116469 | 120314 | 130294 | 147588 | 160497
Change from 1997 | 0 | 0.05661076825784504 | 0.1068866258150337 | 0.2150489565388054 | 0.2699151710752993 | 0.3118389776915193 | 0.4206555160607977 | 0.6092199664173409 | 0.7499727413481039
Change from 1998 |  | 0 | 0.04758219305306173 | 0.1499494355354674 | 0.2018760448269457 | 0.2415536705673539 | 0.3445400697583225 | 0.5230016717231131 | 0.656213237570429
Sweetwater
Sales Price | 106000 | 105356 | 108324 | 108633 | 111056 | 114838 | 121652 | 142688 | 179000
Change from 1997 | 0 | -0.006075471698113208 | 0.02192452830188679 | 0.02483962264150943 | 0.04769811320754717 | 0.08337735849056603 | 0.1476603773584906 | 0.3461132075471698 | 0.6886792452830188
Change from 1998 |  | -0.006075471698113208 | 0.02192452830188679 | 0.02483962264150943 | 0.04769811320754717 | 0.08337735849056603 | 0.1476603773584906 | 0.3461132075471698 | 0.6886792452830188
 | Source:  County Assessors' Offices via The Wyoming Housing Database Partnership
Spreadsheet: chris_germany__2124__DecCohCHOICE-ENA
Sheet: Dec 25

 | COH CHOICE NOMINATIONS TO ACTUALS
 | FOR GAS DAY |  |  |  |  |  |  |  | 2000-12-25 00:00:00
 |  | MA | NOM ID |  | FT |  | AT |  | FORECASTED |  | ACTUALS |  | CONTRACT # | % Storage | Over | Sto | [NAME]
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | FT DROP |  | AT DROP
 | COH 3-15 | 22-15 | 3342 |  |  |  |  |  | 1299 |  | 1387 |  | 67694 |  |  |  |  |  | 8 | 1 | 6
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11 | 2 | 10
 | COH 5-2 | 23N-02 | 3343 |  |  |  |  |  | 14739 |  | 15061 |  | 67694 |  |  |  |  |  | 9 | 3 | 7 |  |  | 15
 |  |  |  |  |  |  |  |  | 558 |  | 558 |  | 68918 | 0 |  |  |  |  | 10 | 4 | 7 |  |  | 23
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13 | 5 | 10 |  |  | 15
 | COH 5-7 | 23N-07 | 3344 |  |  |  |  |  | 5940 |  | 6067 |  | 67694 |  |  |  |  |  | 11 | 6 | 10 |  |  | 22
 |  |  |  |  |  |  |  |  | 411 |  | 411 |  | 69148 | 0 |  |  |  |  | 10 | 7 | 9 |  |  | 15
 |  |  |  |  |  |  |  |  | 783 |  | 783 |  | 68915 | 0 |  |  |  |  | 14 | 8 | 11 |  |  | 14
 |  |  |  |  |  |  |  |  | 0 |  | 0 |  | 69693 | 0 |  |  |  |  | 12 | 9 | 9 |  |  | 20
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 17 | 15 | 15 |  |  | 16
 | COH 7-1 | 23-01 | 3788 |  |  |  |  |  | 26844 |  | 28150 |  | 67694 |  |  |  |  |  | 11 | 35 | 11 |  |  | 17
 |  |  |  |  |  |  |  |  | 0 |  |  |  | 69149 | 0 |  |  |  |  | 10 | 39 | 7 |  |  | 17
 |  |  |  |  |  |  |  |  | 0 |  |  |  | 68915 | 0 |  |  |  |  |  |  |  |  |  | 17
 |  |  |  |  |  |  |  |  | 0 |  |  |  | 68918 | 0 |  |  |  |  |  |  |  |  |  | 22
 | COH 7-3 | 23-03 | 3789 |  |  |  |  |  | 3255 |  | 3455 |  | 67694 | 1 |  |  |  |  | %
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Storage
 | COH 7-4 | 23-04 | 3345 |  |  |  |  |  | 3526 |  | 3758 |  | 67694 |  |  |  |  |  | #67694
 |  |  |  |  |  |  |  |  | 673 |  | 673 |  | 69149 | 0 |  |  |  |  | 0.55
 |  |  |  |  |  |  |  |  | 176 |  | 176 |  | 68916 | 0
 | COH 7-5 | 23-05 | 2777 |  |  |  |  |  | 22888 |  | 24762 |  | 67694
 | COH 7-6 | 23-06 | 3346 |  |  |  |  |  | 3710 |  | 3814 |  | 67694
 | COH 7-8 | 23-08 | 3790 |  |  |  |  |  | 4407 |  | 4752 |  | 67694
 | COH 7-9 | 23-09 | 3791 |  |  |  |  |  | 5678 |  | 6112 |  | 67694
 | COH 8-35 | 24-35 | 3348 |  |  |  |  |  | 2149 |  | 2149 |  | 67694 | 1
 |  |  |  |  |  |  |  |  | 1000 |  | 1000 |  | 69823 | 0
 | COH 8-39 | 24-39 | 3792 |  |  |  |  |  | 64 |  | 67 |  | 67694 | 1
 |  |  |  |  |  |  |  | x | 1.Nom to COH |  | 1. Email to COH |  |  |  |  |  |  | FOM
 |  |  |  |  |  |  |  | x | 2.Email to ENA |  | 2. Email to ENA |  |  |  |  |  |  | [NAME] from/(Sell to) ENA
Spreadsheet: 870727d1717179286-using-advanced-filter-to-extract-data-from-certain-columns-advanced-filter
Sheet: Imported Data

Stock Number | Ref | Date | Branch | [NAME] | Desciption | Amount
MK6018 | 2NPU10 | 2024-05-08 00:00:00 | BR1 | 2024-04-30 00:00:00 | HR 6AT | 31491.13
MK6019 | 2PPM25 | 2024-05-08 00:00:00 | BR1 | 2024-04-30 00:00:00 | HR 6AT | 36609.4
MK6020 | 2NPU10 | 2024-05-06 00:00:00 | BR1 | 2024-04-30 00:00:00 | HR 6AT | 31491.13
MK6021 | 2NPS68 | 2024-05-15 00:00:00 | BR2 | 2024-04-30 00:00:00 | CRT | 30263.59
MK6022 | 2GPU16 | 2024-05-08 00:00:00 | BR2 | 2024-04-30 00:00:00 | AMD | 35066.23
MK6023 | 2PPM30 | 2024-05-08 00:00:00 | BR2 | 2024-04-30 00:00:00 | DCW | 36570.68
MK6024 | 2PPT79 | 2024-05-08 00:00:00 | BR2 | 2024-04-30 00:00:00 | PUR | 35234.64
MK6025 | 2NPU11 | 2024-05-06 00:00:00 | BR2 | 2024-04-30 00:00:00 | /T S/C | 31491.13
MK6026 | 2GPT91 | 2024-05-05 00:00:00 | BR2 | 2024-04-30 00:00:00 | TS2 | 36632.04
Spreadsheet: 70401d1271168751-summing-data-from-another-sheet-test
Sheet: 1

 |  | 2010-05-12 00:00:00
 |  | OVERIG DAG |  |  | OVERIG AVOND |  |  | OVERIG NACHT
 |  | 2010-05-12 00:00:00 | LD |  | 2010-05-12 00:00:00 | LA |  | 2010-05-12 00:00:00 | LN
 |  |  | DD |  |  | DA |  |  | DN
 |  | [NAME] |  |  | [NAME] |  |  | [NAME]
 |  | [NAME] |  |  | [NAME] |  |  | [NAME]
 |  | [NAME] |  |  | Caleb |  |  | [NAME]
 |  | Mason |  |  | [NAME] |  |  | Christian
 |  | [NAME] |  |  | Elijah |  |  | [NAME]
 |  | 0 |  |  | [NAME] |  |  | Zachary
 |  | [NAME] |  |  | 0 |  |  | 0
 |  | [NAME] |  |  | Gavin |  |  | #N/A
 |  | [NAME] |  |  | [NAME] |  |  | #N/A
 |  | [NAME] |  |  | Jayden |  |  | #N/A
 |  | Tyler |  |  | Aidan |  |  | #N/A
 |  | [NAME] |  |  | Juan |  |  | #N/A
 |  | 0 |  |  | [NAME] |  |  | #N/A
 |  | 0 |  |  | 0 |  |  | #N/A
 |  | 0 |  |  | 0 |  |  | #N/A
 |  | 0 |  |  | 0 |  |  | #N/A
 |  | 0 |  |  | 0 |  |  | #N/A
 |  | 0 |  |  | 0 |  |  | #N/A
 |  | [NAME] |  |  | 0 |  |  | #N/A
 |  | [NAME] |  |  | #N/A |  |  | #N/A
 |  | Nathan |  |  | #N/A |  |  | #N/A
 |  | #N/A |  |  | #N/A |  |  | #N/A
 |  | #N/A |  |  | #N/A |  |  | #N/A
 |  | #N/A |  |  | #N/A |  |  | #N/A
 |  | #N/A |  |  | #N/A |  |  | #N/A
 |  | #N/A |  |  | #N/A |  |  | #N/A
 |  | #N/A |  |  | #N/A |  |  | #N/A
 |  | #N/A |  |  | #N/A |  |  | #N/A
 |  | #N/A |  |  | #N/A |  |  | #N/A
 |  | #N/A |  |  | #N/A |  |  | #N/A
 |  | #N/A |  |  | #N/A |  |  | #N/A
 |  | #N/A |  |  | #N/A |  |  | #N/A
 |  |  | 14 |  |  | 12 |  |  | 6
Spreadsheet: 493287d1481647137-grouping-and-labeling-new-maximo-performance
Sheet: DEFECTS-FOLLOWUPS

Work Order | Description | Defects Found | Safety | Downtime | Est Lab Hrs | Actual Lab Hrs | Has Follow-up Work |  | I want it to show this
915442 | GAGE - AXLE FILL & CALIBRATION TEST TANK - FIV400405 | N | N | N | 0:30 | 0:00 | Y
915464 | GAGE - AXLE FILL & CALIBRATION TEST TANK - FIV400405 | N | N | N | 0:30 | 0:00 | N
915691 | GAGE - AXLE FILL & CALIBRATION TEST TANK - FIV400405 | N | N | N | 0:30 | 0:00 | N
934826 | (ENVIRONMENTAL - CI) DIESEL ENGINE - EMERGENCY GENERATOR ANNUAL PM - CHASSIS (TRAC) | N | Y | Y | 4:00 | 0:00 | N
946666 | (ENVIRONMENTAL - CI) DIESEL ENGINE - EMERGENCY GENERATOR ANNUAL PM - IT (TRAC) | N | Y | Y | 0:00 | 4:00 | N
946681 | (ENVIRONMENTAL - CI) DIESEL ENGINE - FIRE PUMP ANNUAL PM (A-48) (TRAC) | Y | Y | Y | 4:00 | 4:00 | Y
950392 | +SUBSTATION 6A - BREAKER - #6A-1 (BATT. CH.) - 480v. | N | Y | N | 4:00 | 1:00 | N
951407 | KBK RAIL SAFETY CHECK - J1 - SECTION 3 | Y | Y | Y | 12:00 | 12:00 | N
951408 | KBK RAIL SAFETY CHECK - J1 - SECTION 5 | Y | Y | Y | 12:00 | 12:00 | N
951409 | KBK RAIL SAFETY CHECK - J1 - SECTION 13 | N | Y | Y | 12:00 | 12:00 | N
951410 | KBK RAIL SAFETY CHECK - J1 - SECTION 8 | Y | Y | Y | 12:00 | 12:00 | Y
951411 | KBK RAIL SAFETY CHECK - TRANSMISSION FILL @ M41 | N | Y | Y | 12:00 | 12:00 | Y
952348 | COLOR BOOTH 1 ELIMINATOR CLEANING | N | N | N | 8:48 | 4:24 | N
956750 | POU NB-1 @ (X-18) INVENTORY , AND REPLENISH WORK ORDER (FIRST SHIFT) (ANYONE) | Y | N | N | 1:00 | 0:00 | N
956809 | POU NB-2 @ (CC-18) INVENTORY , AND REPLENISH WORK ORDER (SECOND SHIFT) (ANYONE) | N | N | N | 1:00 | 0:00 | N
956810 | B1 B110 CLAMP FIXTURE / T95209 (EL) | Y | N | Y | 1:00 | 0:00 | Y
 | 1)   I want to work with both columns 'C' & 'H'
 | 2)   I want a formula in column J  for each row
 | 3)   It needs to show the number 1 when a 'Y' is either in 'C', 'H' or both 'C & H'
Spreadsheet: 176385d1345831741-extracting-specific-data-from-lists-and-copying-to-another-location-test-data-2
Sheet: Desired end product

Category | A
Cattle | Fish | Poultry | Sheep
94 | 99.6 | 112.4 | 110.1
97 | 97.7 | 102.6 | 97.7
99.2 | 98 | 98.2 | 97
97.8 | 104.1 | 98.9 | 95.3
100.4 | 93 | 100 | 90.6
100.3 | 99 | 100 | 97.5
93 | 99 | 85.9 | 99
100.2 | 98 | 100.6 | 100.8
103 | 99.95 | 101 | 104.5
105.6 | 104.7 | 89 | 99.44
101.7 | 105.35 | 92 | 102.2
104.6 | 99.9 | 99.3 | 100
99.2 | 101.75 | 106 | 100.7
92 | 101.2 | 104.2 | 99
102 | 115.25 | 100 | 93
94 | 95.3 | 92 | 98
98 | 97.25 | 99 | 93
100 | 100.05 | 102 | 98
101.15 | 113.75 | 100 | 103
102.25 | 119 | 100 | 102
95.35 | 102.05 | 103 | 103
99.9 |  | 101 | 97.95
105.3 |  | 106 | 108.6875
96.9 |  | 101 | 104
 |  | 102 | 99.0375
 |  | 101.65 | 106.6375
 |  | 103.55 | 109.15
 |  |  | 101.5625
 |  |  | 102.4
 |  |  | 99.4625
 |  |  | 104.45
 |  |  | 98.325
 |  |  | 98.925
 |  |  | 99.125
 |  |  | 106.6
 |  |  | 102.625
 |  |  | 103.2125
 |  |  | 98.8125
 |  |  | 98.725
 |  |  | 98.85
 |  |  | 102.4875
 |  |  | 98.3125
 |  |  | 106.0375
 |  |  | 100.725
 |  |  | 97.375
Spreadsheet: 715261d1611647538-calculate-of-sales-volume-specific-products-in-grouped-order-value-sample
Sheet: Sheet1

Order Number | Item value | X Product | Does order contain > 60% of X products based on item value ? |  | Order B manual calculation
B | 26472.92 | Not x product | Less than 60% X order |  | 130593.19 | Total Sum all products A
B | 37736.05 | X Product | Less than 60% X order |  | 43874.02 | Total Sum X products A
B | 8117.72 | Not x product | Less than 60% X order |  |  | % of X products in Order A
B | 20022.09 | Not x product | Less than 60% X order
B | 26734.18 | Not x product | Less than 60% X order
B | 5372.26 | Not x product | Less than 60% X order
B | 3069.95 | X Product | Less than 60% X order
B | 3068.02 | X Product | Less than 60% X order |  | Order A manual calculation
A | -4260.55 | Not x product | Less than 60% X order |  |  | Total Sum all products in order B
A | 4260.55 | Not x product | Less than 60% X order |  |  | Total Sum X products in order B
A | -4111.06 | Not x product | Less than 60% X order |  |  | % of X products in Order B
A | 4111.05 | Not x product | Less than 60% X order
A | -8332.02 | X Product | Less than 60% X order
A | 8332.01 | X Product | Less than 60% X order
A | -7094.02 | Not x product | Less than 60% X order
A | 7094.02 | Not x product | Less than 60% X order |  | Order C Manual calculation
C | 10000 | X Product | 60% X order |  |  | Total Sum all products in order C
C | 50000 | X Product | 60% X order |  |  | Total Sum X products in order C
C | 200 | Not x product | 60% X order |  |  | % of X products in Order C
Spreadsheet: 274860d1383239014-nested-if-statement-sample
Sheet: Sheet1

Customer | Week 1 | Week 2 | Difference | Type
Customer 1 | 50 | 100 |  | Upgrade
Customer 2 | 50 | 0 | -50 | Cancelled
Customer 3 | 0 | 50 | 50 | New Business
Customer 4 | 50 | 25 | -25 | Downgrade
Spreadsheet: 33155d1229448004-hidden-code-in-workbook-taxcalcunprotected
Sheet: TaxReckoner

 | UK PAYE Tax Calculator |  | For under 65's with no other allowances
 | Enter Salary | 500
 | Select Tax Year | 2005-06 | Select Financial (Tax) Year
 | Salary & Tax Summary | Weekly | Monthly | Annual
 | Gross Salary | 500 | 2166.666666666667 | 26000
 | Income Tax (IT) | 84.4673076923077 | 366.025 | 4392.3
 | National Insurance (NI) | 44.66 | 193.5266666666666 | 2322.32
 | Total Taxes (IT+NI) | 129.1273076923077 | 559.5516666666667 | 6714.62
 | Net Pay | 370.8726923076923 | 1607.115 | 19285.38
 | Total Taxes Percentage | 0.2582546153846154 | 0.2582546153846154 | 0.2582546153846154
 | Take Home Percentage | 0.7417453846153846 | 0.7417453846153845 | 0.7417453846153846
Spreadsheet: 880308f9-8c18-4197-9087-d3d727667b22
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
DSS | Test | DSS | Drug Screen, Prescription/OTC, Serum | Drug Screen, Prescription/OTC, S | Gas Chromatography-Mass Spectrometry (GC-MS) | Plain, Red-Top Tube: Red |  |  | 5.25 | mL | Container/Tube: Red top  [NAME]: 5.25 mL Additional Information:  1. See Table 1 in Prescription and Over-the-Counter (OTC) Drug Screens in Special Instructions.  2. For situations where chain of custody is required, a Chain-of-Custody Kit (Supply T282) is available. For chain-of-custody information, see COCH / Chain-of-Custody Processing. 3. This test is not appropriate for drugs of abuse/illicit drug testing. Cocaine will not be detected in this assay. 4. Not intended for use in employment-related testing. 5. This test is not appropriate for assessment of therapeutic compliance. | 2.1 mL | Hemolysis	Mild OK; Gross OK Thawing	Warm OK; Cold OK Lipemia	Mild OK; [NAME] OK Icterus	Mild OK; [NAME] OK Other	Plasma or serum gel tube | Drug detection | Monday through Sunday; Varies | 2 days | 3 days | 1 | 80100 |  |  |  |  | Rochester
DSS | [NAME] | SRED | Serum Red |  |  |  | Refrigerated | 14 days
DSS | Order Question | SU_DR | Suspect Drug |  | Plain Text
DSS | Result | 31072 | Drugs detected: | Drugs detected: | Alphanumeric |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 20785-2 | Drugs identified:Prid:Pt:Ser/Plas:Nom:Screen
DSS | Result | 31168 | Chain of Custody | Chain of Custody | Numeric |  |  |  |  |  |  |  |  |  |  |  |  |  |  | In Process
Spreadsheet: 78183d1278591359-reference-sequential-tabs-same-cell-catering-invoice-test
Sheet: Index

MonthDate (MMDD): | 510 |  |  |  |  | Total Month Caters: | 1 | Total Month Billing | 88.2346325 | [NAME]: | 88.2346325
Catering # | Date | Day of Week | Time | Event Name | Cost Center | Contact | Phone | Location | Guest Count | Total Due | Invoice Billed | Paid
1001 | 2010-05-24 00:00:00 | Mon | 1900-01-01 00:00:00 | General Leader [NAME] | 31000665 | [NAME] | 34308 | Board Room | 25 | 88.2346325
1002
1003
1004
1005
Spreadsheet: 686104d1594364752-more-efficient-counta-sumif-and-sum-formulas-needed-for-training-spreadsheet-training2
Sheet: Training 5

 | Training 5
 |  |  | 08:00:00 | 08:00:00 | 08:00:00 | 08:00:00 | 08:00:00 | 08:00:00 | 08:00:00 | 09:00:00 | 09:00:00 | 09:00:00 | 10:00:00 | 10:00:00 | 10:00:00 | 10:00:00 | 11:00:00 | 11:00:00 | 11:00:00 | 12:00:00 | 12:00:00 | 12:00:00 | 12:00:00 | 12:00:00 | 12:00:00 | 13:30:00 | 13:30:00 | 13:30:00 | 13:30:00 | 14:00:00 | 14:00:00 | 14:00:00
 | # of Sessions |  | 1
 | # of Expected on Training Day |  | 1 | 2 | 2 | 3 | 3 | 2 | 3 | 3 | 2 | 3 | 3 | 3 | 3 | 2 | 2 | 3 | 3 | 3 | 2 | 3 | 3 | 2 | 3 | 2 | 2 | 3 | 2 | 2 | 2 | 3
 | # [NAME] |  | 1 | 2 | 1 |  | 3 | 2 | 2 | 2 |  | 2 |  | 3 | 3 | 2 | 2 | 3 | 3 | 3 | 1 | 3 |  | 2 | 2 | 2 | 2 | 3 | 2 | 2 | 2 | 3
 | New Hire Show Rate
 | [NAME] | The same for training 1-6
 | C6: | Count Row 6 from column D and over, Only the cells with data entered in them
 | C7: | Sum of row 7 tfrom Column D and over "IF" Row 8 has data enetered
 | C8: | Sum of Row 8 from Column D and over
 | Column D and Over: | Manually entered.
Spreadsheet: andy_zipper__181__DYNEGY-ICE VOL May11
Sheet: E-Mail

 | 2001-05-11 00:00:00
 | Intercontinental Exchange |  |  | Enron's Activity on ICE
 | Commodity | Volume |  | Enron Entity | Commodity | Deals | Volume
 | TOTAL POWER (MWH) |  |  | EPM | POWER
 | TOTAL GAS (MMBTU) |  |  | ENA | GAS
 | >ICE PHYSICAL GAS |  |  | ENA | CRUDE
 | >ICE FINANCIAL GAS |  |  | ECC
 | TOTAL CRUDE PRODUCTS (BBL)
 |  |  |  | Enron's Activity on Dynegy Direct
 |  |  |  | Enron Entity | Commodity | Deals | Volume
 |  |  |  | EPM | POWER
 |  |  |  | ENA | POWER
 |  |  |  | ENA | US NATURAL GAS
 |  |  |  | ENA | COAL
 |  |  |  | EGL | NATURAL GAS LIQUIDS
Spreadsheet: 50073d1249476374-excel-2007-information-merge-from-multiple-sheets-automatic-end-of-month-report-year-09
Sheet: MARCH 09

 | CONTRACTOR UTILIZED: |  | [NAME]
 | WEEK #1 | 23 - 27 FEB | # of HOURS | # of STUDENTS | CLASS #
ENTER COURSE, CLASS # & # OF STUDENTS IN THE TOTALS BLOCK AT BOTTOM OF PAGE | 15T 10 RECLASS PREP |  | 40 | 0 | PREP
 | 15T 10 RECLASS |  | 0 | 0 | 09-001
 | 0 |  |  |  | 0
 | LEAVE (H/V)
ENTER DATES AT WEEK # FIRST THEN ENTER HOURS FOR APPROPRIATE COURSE | WEEK #1 TOTAL |  | 40 | 0
 | WEEK #2 | 2 - 6 MAR | # of HOURS | # of STUDENTS | CLASS #
 | 15T 10 RECLASS PREP |  | 0 | 0 | PREP
 | 15T 10 RECLASS |  | 40 | 13 | 09-001
 | 0 |  |  |  | 0
 | LEAVE (H/V)
 | WEEK #2 TOTAL |  | 40 | 13
 | WEEK #3 | 9 - 13 MAR | # of HOURS | # of STUDENTS | CLASS #
 | 15T 10 RECLASS PREP |  | 0 | 0 | PREP
 | 15T 10 RECLASS |  | 40 | 13 | 09-001
 | 0 |  |  |  | 0
 | LEAVE (H/V)
 | WEEK #3 TOTAL |  | 40 | 13
 | WEEK #4 | 16 - 20 MAR | # of HOURS | # of STUDENTS | CLASS #
 | 15T 10 RECLASS PREP |  | 0 | 0 | PREP
 | 15T 10 RECLASS |  | 40 | 13 | 09-001
 | 0 |  |  |  | 0
 | LEAVE (H/V)
 | WEEK #4 TOTAL |  | 40 | 13
 | WEEK #5 | 23 - 27 MAR | # of HOURS | # of STUDENTS | CLASS #
 | 15T 10 RECLASS PREP |  | 0 | 0 | PREP
 | 15T 10 RECLASS |  | 40 | 15 | 09-001
 | 0 |  |  |  | 0
 | LEAVE (H/V)
 | WEEK #5 TOTAL |  | 40 | 15
 | WEEK #6 |  | # of HOURS | # of STUDENTS | CLASS #
 | 15T 10 RECLASS PREP |  |  |  | PREP
 | 15T 10 RECLASS |  |  |  | 09-001
 | 0 |  |  |  | 0
 | LEAVE (H/V)
 | WEEK #6 TOTAL |  | 0 | 0
 |  |  | TOTALS |  | CLASS #
Enter Course Here------------> | 15T 10 RECLASS PREP |  | 40 | 0 | PREP | <--------Enter Class # Here
Enter Second Course Here------------> | 15T 10 RECLASS |  | 160 | 15 | 09-001 | <--------Enter Second Class # Here
Enter Third  Course Here------------> |  |  | 0 |  |  | <--------Enter Third  Class # Here
 | LEAVE (H/V) |  | 0
 | GRAND TOTAL |  | 200 | 15 |  | Enter # of Students in # of Students Column Next to Appropriate Class
Spreadsheet: 85697d1285759591-automatic-sorting-by-price-wine-list-trial
Sheet: By the Glass

wines by the glass |  | [NAME] (5oz) | Bottle
Bubbles
[NAME], Sonoma County NV (375ML) |  | - | 16
Domaine [NAME], California NV |  | 9 | 40
[NAME], Italy NV |  | 7 | 30
Veuve [NAME], Reims, France NV |  | 17 | 80
[NAME], California NV |  | 6 | 25
 | Taste (3oz) | [NAME] (6oz) | Bottle
White Wines: From the Driest to the Sweetest
[NAME], Terra Alta, Lodi 2008 | 3.5 | 7 | 30
[NAME] Brio Pinot Grigio, Lodi 2008 | 3.5 | 7 | 28
[NAME] Sauvignon Blanc, Lake County 2009 | 3.5 | 7 | 25
[NAME]'s [NAME], Lodi 2008 | 4 | 8 | 32
Merryvale 'Starmont' Chardonnay, Napa 2007 | 4 | 8 | -
[NAME], Napa 2008 | 8 | 16 | -
Peltier Station [NAME], Lodi 2007 | 3.5 | 7 | 25
Polka Dot Riesling 'Semi Sweet', Pfalz, Germany 2008 | 3.5 | 7 | 25
Red Wines: From the Thinest to the Broadest
Vicarmont Eclectic Pink Rosé, Lodi  2009 | 4 | 8 | 30
Mac Murray Ranch Pinot Noir, Sonoma Coast 2008 | 4.5 | 9 | 34
Van Ruiten Family Vineyards 'Old Vine' Zinfandel, Lodi 2009 | 4 | 8 | 30
[NAME]American Oak', Lodi 2007 | 5 | 10 | 40
Ravenswood 'Old Vine' Zinfandel, Lodi 2008 | 6 | 12 | 48
Klinker Brick Winery 'Old Ghost' Zinfandel, Lodi 2007 | 8 | 16 | 65
Van Ruiten Family Vineyards [NAME], Lodi 2008 | 4 | 8 | 30
Mettler [NAME], Lodi 2009 | 5 | 10 | 38
Roth Estate [NAME], [NAME] | 7 | 14 | -
Chateau St. Michelle 'Cold Creek' Merlot, WA  2000 | 5 | 10 | -
Grand Amis Petite Sirah, Lodi 2004 | 4.5 | 9 | 34
Spreadsheet: 9a3107bb-d1b3-4b57-b4c2-1c9768a5a98c
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
FHYCO | Test | FHYCO | [NAME] (Hycodan), Serum | Hydrocodone (Hycodan) | Liquid Chromatography/Tandom 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).  ([NAME] is not acceptable.)   Spin down and send 3 mL of sodium heparin plasma refrigerated. Note:	1.	Trough levels are most reproducible. 	2.	Indicate plasma on request form. 	3.	Label specimen appropriately (plasma).    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. Note:	1.	Trough levels are most reproducible. 	2.	Indicate serum on request form. 	3.	Label specimen appropriately (serum). | 0.6 mL  NOTE: Submission of the | Specimens other than	Serum, plasma Anticoagulants other than	Plain red-top, sodium heparin Hemolysis	NA Thawing	NA Lipemia	NA Icteric	NA | Reference Range:	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
FHYCO | Result | Z1143 | Hydrocodone (Hycodan) | Hydrocodone (Hycodan) | Numeric |  |  |  |  | ng/mL |  |  |  |  |  |  |  |  |  | In Process