How To Quickly Explore Data in R: DataExplorer
2.4 هزار بار بازدید -
3 سال پیش
-
Sometimes you may have very
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/DataExplorer
Code used in video: github.com/fjodor/statistics-using-R
Contact me, e. g. to discuss (online) R workshops / trainings / webinars:
www.linkedin.com/in/wolfriepl/
Facebook: www.facebook.com/statistikdresden/
Twitter: twitter.com/StatistikInDD
statistik-dresden.de/kontakt
R Workshops: statistik-dresden.de/r-schulungen
Blog (German, translate option): statistik-dresden.de/statistik-blog
Playlist: Music chart history
• Music Chart History
3 سال پیش
در تاریخ 1400/09/15 منتشر شده
است.
2,463
بـار بازدید شده