R : Deleting columns where certain % of missing values

In R, we can calculate % of missing values with colMeans(is.na(test)) and then set logical condition to get logical values and then use it to delete columns.
final <- test[, colMeans(is.na(test)) <= .5]
Note : test is a data frame 
Love this Post? Spread the Word!
Comment and share to motivate us to write more!
About Author:

Deepanshu founded ListenData with a simple objective - Make analytics easy to understand and follow. He has over 8 years of experience in data science. During his tenure, he has worked with global clients in various domains like Banking, Insurance, Telecom and Human Resource.

While I love having friends who agree, I only learn from those who don't.

Let's Get Connected: Email | LinkedIn

Get Free Email Updates :
*Please confirm your email address by clicking on the link sent to your Email*
Related Posts:
0 Response to "R : Deleting columns where certain % of missing values"

Post a Comment

Next → ← Prev
Scroll to Top