Tools for Data Diagnosis, Exploration, Transformation
Description
A collection of tools that support data diagnosis, exploration, and transformation.
Data diagnostics provides information and visualization of missing values and outliers and
unique and negative values to help you understand the distribution and quality of your data.
Data exploration provides information and visualization of the descriptive statistics of
univariate variables, normality tests and outliers, correlation of two variables, and
relationship between target variable and predictor. Data transformation supports binning
for categorizing continuous variables, imputates missing values and outliers, resolving skewness.
And it creates automated reports that support these three tasks.