eda: Run a quick EDA analysis

In UBC-MDS/prepropy-r: A R package for data preprocessing

Description

Run a quick EDA analysis

Usage

eda(df, target)

Arguments

df	dataframe
target	character

Value

(list) List that contains statistical summaries and a pairplot.

Examples

df <- data.frame(num1 = c(8.5, 8, 9.2, 9.1, 9.4),
                 num2 = c(0.88, 0.93, 0.95 , 0.92 , 0.91),
                 num3 = c(0.46, 0.78, 0.66, 0.69, 0.52),
                 num4 = c(0.082, 0.078, 0.082, 0.085, 0.066),
                 cat1 = c("Good","Okay","Excellent","Terrible","Good"),
                 target = c(2,2,3,1,3))
result <- eda(df,"target")
nb_num_feat  <- result$nb_num_features
nb_cat_feat <- result$nb_cat_features
ls_cat_feat <- result$cat_features
ls_num_feat <- result$num_features
nb_class<- result$nb_classes
pair_plot <- result$pairplot

UBC-MDS/prepropy-r documentation built on March 30, 2021, 12:02 p.m.