Profiling numerical variables is an integral part of data analytics, which generally consists of obtaining standard descriptive statistics such as quantiles, first central moments as well as missing ratio.
It is easily obtainable by using PROC MEANS…
Profiling numerical variables is an integral part of data analytics, which generally consists of obtaining standard descriptive statistics such as quantiles, first central moments as well as missing ratio.
It is easily obtainable by using PROC MEANS…
Profiling numerical variables is an integral part of data analytics, which generally consists of obtaining standard descriptive statistics such as quantiles, first central moments as well as missing ratio.
It is easily obtainable by using PROC MEANS…
MISSING OPTION
Replacing missing values with the desired value like a zero is always a challenge, especially when we have a dataset with a number of columns to standardize. The OLD WAY of doing it to write a DATA step code with …