High level EDA: histograms, bar chart, and correlation heatmap

This function performs high level EDA on all, or a specific set of features displaying 3 different visualization sets: histograms for each numeric variable, a bar chart for each factor type categorical variable, and a correlation heatmap of the numeric variables.

birds_eye_view(df, n = 20, var_list = NULL)

Arguments

df

A data.frame. The dataframe on which visualizations will be created

n

An integer. If passed, it will specify the number of bins for the histograms, defaults to 20

var_list

A vector. If passed, it will limit visualizations to a subset of variables

Value

a list of the visualization objects generated created by the function

Examples

library(palmerpenguins)
results <- birds_eye_view(penguins)
#> Warning: Removed 2 rows containing non-finite values (stat_bin).

#> Warning: Removed 2 rows containing non-finite values (stat_bin).

#> Warning: Removed 2 rows containing non-finite values (stat_bin).

#> Warning: Removed 2 rows containing non-finite values (stat_bin).




#> Registered S3 method overwritten by 'GGally':
#>   method from   
#>   +.gg   ggplot2