Chemical Manufacturing Process Dataset
ChemicalManufacturingProcess.RdChemical Manufacturing Process Dataset
Details
This data set contains information about a chemical manufacturing process, in which the goal is to understand the relationship between the process and the resulting final product yield and can be found in the in the AppliedPredictiveModeling R package. The data has been copied from http://appliedpredictivemodeling.com/data in agreement with their license.
Examples
data(ChemicalManufacturingProcess)
head(ChemicalManufacturingProcess)
#> Yield BiologicalMaterial01 BiologicalMaterial02 BiologicalMaterial03
#> 1 38.00 6.25 49.58 56.97
#> 2 42.44 8.01 60.97 67.48
#> 3 42.03 8.01 60.97 67.48
#> 4 41.42 8.01 60.97 67.48
#> 5 42.49 7.47 63.33 72.25
#> 6 43.57 6.12 58.36 65.31
#> BiologicalMaterial04 BiologicalMaterial05 BiologicalMaterial06
#> 1 12.74 19.51 43.73
#> 2 14.65 19.36 53.14
#> 3 14.65 19.36 53.14
#> 4 14.65 19.36 53.14
#> 5 14.02 17.91 54.66
#> 6 15.17 21.79 51.23
#> BiologicalMaterial07 BiologicalMaterial08 BiologicalMaterial09
#> 1 100 16.66 11.44
#> 2 100 19.04 12.55
#> 3 100 19.04 12.55
#> 4 100 19.04 12.55
#> 5 100 18.22 12.80
#> 6 100 18.30 12.13
#> BiologicalMaterial10 BiologicalMaterial11 BiologicalMaterial12
#> 1 3.46 138.09 18.83
#> 2 3.46 153.67 21.05
#> 3 3.46 153.67 21.05
#> 4 3.46 153.67 21.05
#> 5 3.05 147.61 21.05
#> 6 3.78 151.88 20.76
#> ManufacturingProcess01 ManufacturingProcess02 ManufacturingProcess03
#> 1 NA NA NA
#> 2 0.0 0 NA
#> 3 0.0 0 NA
#> 4 0.0 0 NA
#> 5 10.7 0 NA
#> 6 12.0 0 NA
#> ManufacturingProcess04 ManufacturingProcess05 ManufacturingProcess06
#> 1 NA NA NA
#> 2 917 1032.2 210.0
#> 3 912 1003.6 207.1
#> 4 911 1014.6 213.3
#> 5 918 1027.5 205.7
#> 6 924 1016.8 208.9
#> ManufacturingProcess07 ManufacturingProcess08 ManufacturingProcess09
#> 1 NA NA 43.00
#> 2 177 178 46.57
#> 3 178 178 45.07
#> 4 177 177 44.92
#> 5 178 178 44.96
#> 6 178 178 45.32
#> ManufacturingProcess10 ManufacturingProcess11 ManufacturingProcess12
#> 1 NA NA NA
#> 2 NA NA 0
#> 3 NA NA 0
#> 4 NA NA 0
#> 5 NA NA 0
#> 6 NA NA 0
#> ManufacturingProcess13 ManufacturingProcess14 ManufacturingProcess15
#> 1 35.5 4898 6108
#> 2 34.0 4869 6095
#> 3 34.8 4878 6087
#> 4 34.8 4897 6102
#> 5 34.6 4992 6233
#> 6 34.0 4985 6222
#> ManufacturingProcess16 ManufacturingProcess17 ManufacturingProcess18
#> 1 4682 35.5 4865
#> 2 4617 34.0 4867
#> 3 4617 34.8 4877
#> 4 4635 34.8 4872
#> 5 4733 33.9 4886
#> 6 4786 33.4 4862
#> ManufacturingProcess19 ManufacturingProcess20 ManufacturingProcess21
#> 1 6049 4665 0.0
#> 2 6097 4621 0.0
#> 3 6078 4621 0.0
#> 4 6073 4611 0.0
#> 5 6102 4659 -0.7
#> 6 6115 4696 -0.6
#> ManufacturingProcess22 ManufacturingProcess23 ManufacturingProcess24
#> 1 NA NA NA
#> 2 3 0 3
#> 3 4 1 4
#> 4 5 2 5
#> 5 8 4 18
#> 6 9 1 1
#> ManufacturingProcess25 ManufacturingProcess26 ManufacturingProcess27
#> 1 4873 6074 4685
#> 2 4869 6107 4630
#> 3 4897 6116 4637
#> 4 4892 6111 4630
#> 5 4930 6151 4684
#> 6 4871 6128 4687
#> ManufacturingProcess28 ManufacturingProcess29 ManufacturingProcess30
#> 1 10.7 21.0 9.9
#> 2 11.2 21.4 9.9
#> 3 11.1 21.3 9.4
#> 4 11.1 21.3 9.4
#> 5 11.3 21.6 9.0
#> 6 11.4 21.7 10.1
#> ManufacturingProcess31 ManufacturingProcess32 ManufacturingProcess33
#> 1 69.1 156 66
#> 2 68.7 169 66
#> 3 69.3 173 66
#> 4 69.3 171 68
#> 5 69.4 171 70
#> 6 68.2 173 70
#> ManufacturingProcess34 ManufacturingProcess35 ManufacturingProcess36
#> 1 2.4 486 0.019
#> 2 2.6 508 0.019
#> 3 2.6 509 0.018
#> 4 2.5 496 0.018
#> 5 2.5 468 0.017
#> 6 2.5 490 0.018
#> ManufacturingProcess37 ManufacturingProcess38 ManufacturingProcess39
#> 1 0.5 3 7.2
#> 2 2.0 2 7.2
#> 3 0.7 2 7.2
#> 4 1.2 2 7.2
#> 5 0.2 2 7.3
#> 6 0.4 2 7.2
#> ManufacturingProcess40 ManufacturingProcess41 ManufacturingProcess42
#> 1 NA NA 11.6
#> 2 0.1 0.15 11.1
#> 3 0.0 0.00 12.0
#> 4 0.0 0.00 10.6
#> 5 0.0 0.00 11.0
#> 6 0.0 0.00 11.5
#> ManufacturingProcess43 ManufacturingProcess44 ManufacturingProcess45
#> 1 3.0 1.8 2.4
#> 2 0.9 1.9 2.2
#> 3 1.0 1.8 2.3
#> 4 1.1 1.8 2.1
#> 5 1.1 1.7 2.1
#> 6 2.2 1.8 2.0