Boxuan Cui introduces DataExplorer, an R package dedicated to assist with exploratory data analysis:

According to a Forbes article, cleaning and organizing data is the most time-consuming and least enjoyable data science task. Of all the resources out there, DataExplorer is one of them, with its sole mission to minimize the 80%, and make it enjoyable. As a result, one fundamental design principle is to be extremely user-friendly. Most of the time, one function call is all you need.

Data manipulation is powered by data.table, so tasks involving big datasets usually complete in a few seconds. In addition, the package is flexible enough with input data classes, so you should be able to throw in any data.frame-like objects. However, certain functions require a data.table class object as input due to the update-by-reference feature, which I will cover in later part of the post.

For my money, that number is closer to 90%.  I will have to check this package out.

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