Deleting all the rows that have some missing values using R -


this question has answer here:

i working csv data set around 1 million records. need perform 2 operations on data set:

  1. prepare dataset not have rows have missing (blank) values in them.
  2. prepare data set replaces empty values unknown.

i have tried use excel taking time. please way can done in r?

to complete cases, use this:

complete_df <- df[complete.cases(df),]

complete.cases returns logical vector tells rows of dataframe df complete, , can use subset data.

to replace nas, can use this:

new_df <- df new_df[is.na()] <- 'unknown'

but has effect of possibly changing datatypes of columns missing data. example, if have column of numeric data , put missing variables 'unknown' whole column character variable, aware of this.


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