R : Deleting columns where certain % of missing values

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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 

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Deepanshu founded ListenData with a simple objective - Make analytics easy to understand and follow. He has close to 7 years of experience in data science and predictive modeling. During his tenure, he has worked with global clients in various domains like retail and commercial banking, Telecom, HR and Automotive.


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