I am trying to go through an entire dataframe and replace null values with zero. There are a large amount of columns so this would be cumbersome to do column by column. I was thinking of something on the lines of
for (Var in names(housing.test.df)) {
for (row in housing.test.df[,Var]) {
if(is.na(housing.test.df[row,Var]))
{housing.test.df[row,Var] <- 0}
}
}
Where housing.test.df is the dataframe