How To Quickly Explore Data in R: DataExplorer

Sometimes you may have very little time to familiarize yourself with new data. How many missings are there? Which variables are problematic in terms of missings? Which column types are there? How are the variables distributed, how are they correlated? How about a PCA (Principal Components Analysis)?
Using your favorite R packages and functions, you may be able to answer such questions, but each step takes time. How convenient to get an automated report from just one line of R code! This is exactly what DataExplorer by Boxuan Cui can do for you.
Find out more about the package:
help(package = "DataExplorer") or
github.com/boxuancui/DataExpl...
Code used in video: github.com/fjodor/statistics-...
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[@MarkVenn66]

A useful package. Thanks for the pointer

[@Mi4284]

Powerful package and excellent video.
Nice work .

[@DataFunAnalyticaltricks]

Nice one !!

[@blueresolve2954]

Brilliant.

[@davidsteeleokl646]

Nice 🙂