LargeDataExplorer-package: LargeDataExplorer: Powerful package to clean and re-format...

In nietodaniel/LargeDataExplorer: Powerful package to clean and re-format very large datasets after classifying its variables by their usefulness for machine learning

Description

This package can identify the irrelevant variables for machine learning and exclude them, while keeping and tranforming the useful ones. It also can explore a dataset, categorizing its variables as numeric, categorical (text), categorical (number), boolean, date, primary keys, keys, NA-variable, Univalue, plain text and variables with repeated information. It will also calculate the basic statistics for each variable.

Author(s)

Maintainer: Daniel Nieto [e-mail] (ORCID)

See Also

Useful links:

• https://github.com/nietodaniel/LargeDataExplorer

• Report bugs at https://github.com/nietodaniel/LargeDataExplorer/issues

nietodaniel/LargeDataExplorer documentation built on Sept. 20, 2020, 7:57 p.m.