data profiling

dimension, missing, cardinality, correlation, zero, uniform, unique for each variables

Usage

brief(inputData)

Arguments

inputData

data frame

Value

data frame with changed column

Examples

brief(iris)
#> $names
#> [1] "Sepal.Length" "Sepal.Width"  "Petal.Length" "Petal.Width"  "Species"     
#> 
#> $desc
#> $desc$nrow
#> [1] 150
#> 
#> $desc$ncol
#> [1] 5
#> 
#> $desc$missingCellCount
#> [1] 0
#> 
#> $desc$missingCellRatio
#> [1] 0
#> 
#> 
#> $cards
#> [1] 35 23 43 22  3
#> 
#> $cors
#>              Sepal.Length Sepal.Width Petal.Length Petal.Width
#> Sepal.Length        1.000      -0.118        0.872       0.818
#> Sepal.Width        -0.118       1.000       -0.428      -0.366
#> Petal.Length        0.872      -0.428        1.000       0.963
#> Petal.Width         0.818      -0.366        0.963       1.000
#> 
#> $miss
#> [1] NA NA NA NA NA
#> 
#> $zeros
#> [1] NA NA NA NA NA
#> 
#> $unif
#> [1] FALSE FALSE FALSE FALSE  TRUE
#> 
#> $uniq
#> [1] FALSE FALSE FALSE FALSE FALSE
#>