Statistics of the data

Statistics plays a critical role in a myriad of areas, including but not limited to Descriptive Statistics, Anomaly Detection, and Data Exploration. Its significance extends across various domains, providing valuable insights and serving as the backbone for informed decision-making.

This can be achieved through

data_cleaner.summary()

Then the expected result is a dataframe containing the columns and their corresponding statistics

We can observe that in the results above, we have a combination of categorical and continuous columns. Therefore, one may need to group specifically those columns and their data values.

Continuous columns

data_cleaner.cont_cols()

Categorical columns

data_cleaner.cat_cols()