explore_categorical_columns: Performs EDA of categorical features.

In UBC-MDS/datascience.eda.R: Common Functions for EDA

Description

Creates a data frame containing column names and corresponding details about unique values, null values and most frequent category in every column Plots count-plots for given categorical columns

Usage

explore_categorical_columns(df, categorical_cols)

Arguments

df	input data as a data frame
categorical_cols	vector containing categorical columns

Value

A list object with first list element being a tibble with details about unique, null values and most frequent category in every column and a second list element being count plots of user provided column names

Examples

library(dplyr)
library(MASS)
library(knitr)
df <- data.frame(lapply(survey[, c('Sex','Clap')], as.character),
stringsAsFactors=FALSE) %>% tibble()
results <- explore_categorical_columns(df, c('Sex','Clap'))
results[[1]] %>% knitr::kable()
results[[2]][[1]]
results[[2]][[2]]

UBC-MDS/datascience.eda.R documentation built on March 24, 2021, 2:22 a.m.