Standardised comparison of several tables' summaries
Value
A data.frame binding each input's summary with a source
column, enabling a like-for-like comparison.
Examples
morie_eda_compare(a = mtcars[1:16, ], b = mtcars[17:32, ])
#> source variable class storage_mode n_missing mean sd min
#> a.1 a mpg numeric double 0 18.200 4.148 10.400
#> a.2 a cyl numeric double 0 6.500 1.549 4.000
#> a.3 a disp numeric double 0 250.819 113.372 108.000
#> a.4 a hp numeric double 0 144.438 52.539 62.000
#> a.5 a drat numeric double 0 3.402 0.441 2.760
#> a.6 a wt numeric double 0 3.561 0.818 2.320
#> a.7 a qsec numeric double 0 18.344 1.711 15.840
#> a.8 a vs numeric double 0 0.438 0.512 0.000
#> a.9 a am numeric double 0 0.188 0.403 0.000
#> a.10 a gear numeric double 0 3.438 0.512 3.000
#> a.11 a carb numeric double 0 2.875 1.204 1.000
#> b.1 b mpg numeric double 0 21.981 7.088 13.300
#> b.2 b cyl numeric double 0 5.875 1.996 4.000
#> b.3 b disp numeric double 0 210.625 134.279 71.100
#> b.4 b hp numeric double 0 148.938 83.330 52.000
#> b.5 b drat numeric double 0 3.791 0.562 2.760
#> b.6 b wt numeric double 0 2.874 1.028 1.513
#> b.7 b qsec numeric double 0 17.353 1.774 14.500
#> b.8 b vs numeric double 0 0.438 0.512 0.000
#> b.9 b am numeric double 0 0.625 0.500 0.000
#> b.10 b gear numeric double 0 3.938 0.854 3.000
#> b.11 b carb numeric double 0 2.750 1.983 1.000
#> max
#> a.1 24.400
#> a.2 8.000
#> a.3 472.000
#> a.4 245.000
#> a.5 3.920
#> a.6 5.424
#> a.7 22.900
#> a.8 1.000
#> a.9 1.000
#> a.10 4.000
#> a.11 4.000
#> b.1 33.900
#> b.2 8.000
#> b.3 440.000
#> b.4 335.000
#> b.5 4.930
#> b.6 5.345
#> b.7 20.010
#> b.8 1.000
#> b.9 1.000
#> b.10 5.000
#> b.11 8.000