How can you find total number of null values in a dataset column wise?

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I have a dataset with say 10 different columns I want to know how many null values does each column has
Oct 12, 2018 in Data Analytics by Anmol
• 1,700 points
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2 answers to this question.

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You can write a custom sapply function for this

sapply(data_frame,function(x) {sum(is.na(x))})

This would return list of number of columns missing in each of the columns hope this helps
answered Oct 12, 2018 by Abhi
• 3,680 points
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data['Column Name'].isnull().sum()
answered May 7 by anonymous

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