Laura Ellis continues a dive into Exploratory Data Analysis, this time using the inspectdf package:
I like this package because it’s got a lot of functionality and it’s incredibly straightforward to use. In short, it allows you to understand and visualize column types, sizes, values, value imbalance & distributions as well as correlations. Better yet, you can run each of these features for an individual data frame, or compare the differences between two data frames.
I liked the inspectdf package so much that in this blog, I’m going to extend my previous EDA tutorial with an overview of the package.
There are some interesting functions which make EDA easier, so check it out.