Automate Data Exploration and Treatment
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DataExplorer: Automate Data Exploration and Treatment
Get all missing columns
Calculate page layout index
Truncate category
Parallelization
Drop selected variables
Dummify discrete features to binary columns
Group categories for discrete features
Describe basic information
Plot bar chart
Create boxplot for continuous features
Create correlation heatmap for discrete features
Plot density estimates
Plot histogram
Plot introduction
Plot missing value profile
Visualize principal component analysis
Plot QQ plot
Create scatterplot for all features
Visualize data structure
Plot objects with gridExtra
Plot multiple objects
Default DataExplorer plotting function
Plot single object
Profile missing values
Set all missing values to indicated value
Split data into discrete and continuous parts
Update variable types or values
Automated data exploration process for analytic tasks and predictive modeling, so that users could focus on understanding data and extracting insights. The package scans and analyzes each variable, and visualizes them with typical graphical techniques. Common data processing methods are also available to treat and format data.
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