The breast_cancer Wisconsin data has 569 rows and 31 columns. The
first 30 variables report the features that are computed from a digitized
image of a fine needle aspirate (FNA) of a breast mass. They describe
characteristics of the cell nuclei present in the image. The last column
indicates the class labels (Benign = 0 or Malignant = 1).
Source
Wolberg, W., Mangasarian, O., Street, N., & Street, W. (1993). Breast Cancer Wisconsin (Diagnostic). UCI Machine Learning Repository. https://doi.org/10.24432/C5DW2B.
References
Street, W. N., Wolberg, W. H., & Mangasarian, O. L. (1993, July). Nuclear feature extraction for breast tumor diagnosis. In Biomedical image processing and biomedical visualization (Vol. 1905, pp. 861-870). SPIE.
Examples
data(breast_cancer)
summary(breast_cancer)
#> radius1 texture1 perimeter1 area1
#> Min. : 6.981 Min. : 9.71 Min. : 43.79 Min. : 143.5
#> 1st Qu.:11.700 1st Qu.:16.17 1st Qu.: 75.17 1st Qu.: 420.3
#> Median :13.370 Median :18.84 Median : 86.24 Median : 551.1
#> Mean :14.127 Mean :19.29 Mean : 91.97 Mean : 654.9
#> 3rd Qu.:15.780 3rd Qu.:21.80 3rd Qu.:104.10 3rd Qu.: 782.7
#> Max. :28.110 Max. :39.28 Max. :188.50 Max. :2501.0
#> smoothness1 compactness1 concavity1 concave_points1
#> Min. :0.05263 Min. :0.01938 Min. :0.00000 Min. :0.00000
#> 1st Qu.:0.08637 1st Qu.:0.06492 1st Qu.:0.02956 1st Qu.:0.02031
#> Median :0.09587 Median :0.09263 Median :0.06154 Median :0.03350
#> Mean :0.09636 Mean :0.10434 Mean :0.08880 Mean :0.04892
#> 3rd Qu.:0.10530 3rd Qu.:0.13040 3rd Qu.:0.13070 3rd Qu.:0.07400
#> Max. :0.16340 Max. :0.34540 Max. :0.42680 Max. :0.20120
#> symmetry1 fractal_dimension1 radius2 texture2
#> Min. :0.1060 Min. :0.04996 Min. :0.1115 Min. :0.3602
#> 1st Qu.:0.1619 1st Qu.:0.05770 1st Qu.:0.2324 1st Qu.:0.8339
#> Median :0.1792 Median :0.06154 Median :0.3242 Median :1.1080
#> Mean :0.1812 Mean :0.06280 Mean :0.4052 Mean :1.2169
#> 3rd Qu.:0.1957 3rd Qu.:0.06612 3rd Qu.:0.4789 3rd Qu.:1.4740
#> Max. :0.3040 Max. :0.09744 Max. :2.8730 Max. :4.8850
#> perimeter2 area2 smoothness2 compactness2
#> Min. : 0.757 Min. : 6.802 Min. :0.001713 Min. :0.002252
#> 1st Qu.: 1.606 1st Qu.: 17.850 1st Qu.:0.005169 1st Qu.:0.013080
#> Median : 2.287 Median : 24.530 Median :0.006380 Median :0.020450
#> Mean : 2.866 Mean : 40.337 Mean :0.007041 Mean :0.025478
#> 3rd Qu.: 3.357 3rd Qu.: 45.190 3rd Qu.:0.008146 3rd Qu.:0.032450
#> Max. :21.980 Max. :542.200 Max. :0.031130 Max. :0.135400
#> concavity2 concave_points2 symmetry2 fractal_dimension2
#> Min. :0.00000 Min. :0.000000 Min. :0.007882 Min. :0.0008948
#> 1st Qu.:0.01509 1st Qu.:0.007638 1st Qu.:0.015160 1st Qu.:0.0022480
#> Median :0.02589 Median :0.010930 Median :0.018730 Median :0.0031870
#> Mean :0.03189 Mean :0.011796 Mean :0.020542 Mean :0.0037949
#> 3rd Qu.:0.04205 3rd Qu.:0.014710 3rd Qu.:0.023480 3rd Qu.:0.0045580
#> Max. :0.39600 Max. :0.052790 Max. :0.078950 Max. :0.0298400
#> radius3 texture3 perimeter3 area3
#> Min. : 7.93 Min. :12.02 Min. : 50.41 Min. : 185.2
#> 1st Qu.:13.01 1st Qu.:21.08 1st Qu.: 84.11 1st Qu.: 515.3
#> Median :14.97 Median :25.41 Median : 97.66 Median : 686.5
#> Mean :16.27 Mean :25.68 Mean :107.26 Mean : 880.6
#> 3rd Qu.:18.79 3rd Qu.:29.72 3rd Qu.:125.40 3rd Qu.:1084.0
#> Max. :36.04 Max. :49.54 Max. :251.20 Max. :4254.0
#> smoothness3 compactness3 concavity3 concave_points3
#> Min. :0.07117 Min. :0.02729 Min. :0.0000 Min. :0.00000
#> 1st Qu.:0.11660 1st Qu.:0.14720 1st Qu.:0.1145 1st Qu.:0.06493
#> Median :0.13130 Median :0.21190 Median :0.2267 Median :0.09993
#> Mean :0.13237 Mean :0.25427 Mean :0.2722 Mean :0.11461
#> 3rd Qu.:0.14600 3rd Qu.:0.33910 3rd Qu.:0.3829 3rd Qu.:0.16140
#> Max. :0.22260 Max. :1.05800 Max. :1.2520 Max. :0.29100
#> symmetry3 fractal_dimension3 y
#> Min. :0.1565 Min. :0.05504 Length:569
#> 1st Qu.:0.2504 1st Qu.:0.07146 Class :character
#> Median :0.2822 Median :0.08004 Mode :character
#> Mean :0.2901 Mean :0.08395
#> 3rd Qu.:0.3179 3rd Qu.:0.09208
#> Max. :0.6638 Max. :0.20750