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Raw material outcome

Description: Six characterizing measurements for batches of plastic pellets; the outcome when using this material, either Poor or Adequate, is also provided.
Data source: Simulated data, made to match an actual problem. Some variable names are coded for confidentiality.
  • Lot number: unique identifier used by the company
  • Outcome: categorical variable, either Poor or Adequate
  • Size5: percentage material in a size range (coded)
  • Size10: percentage material in a size range (coded)
  • Size15: percentage material in a size range (coded)
  • TGA: a measurement from a TGA device
  • DSC: measurement from a DSC device
  • TMA: a measurement from a TMA device
Data shape: 24 rows and 7 columns
Usage restrictions: None
Contact person: Kevin Dunn
Contact details: kgdunn@gmail.com
Added here on: 12 January 2011 13:48
Last updated: 11 November 2018 16:36

Preview (first 10 rows)

Lot numberOutcomeSize5Size10Size15TGADSCTMA
B370Adequate13.89.241.2787.31865
B880Adequate11.25.827.6772.217.768.8
B452Adequate9.95.828.3602.318.350.7
B287Adequate10.4424.7677.917.756.5
B576Adequate12.39.322593.519.552
B914Poor13.77.827597.918.149.8
B404Poor15.510.734.3668.519.655.7
B694Poor15.410.735.9602.819.253.6
B875Poor14.911.341614.618.550
B475Adequate13.78.528700.41857

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Tags for this dataset

multivariate categorical regression
(c) Kevin Dunn, learnche.org