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Researchpy provides functions and methods to do a variety of statistical analyses. We can use researchpy to report descriptive statistics by grouping our data by a single or multiple series (variables) in a pandas data frame. It can be a very useful package to describe our data efficiently and effectively. In a machine learning project, we often use several functions in the data preparation phase to determine if certain variables (features) are candidates for removal or if there are opportunities to combine certain features into a higher-order feature.

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