5 Detecting Missing Values and Correcting with Python
identifying numerical vs categorical variables, descriptive statistics, detecting missing values.
Correcting Missing Values - Option I dropping NAN
dropping rows with all missing values NAN, dropping all missing values in the dataset as an easy solution.
Correcting Missing Values - Option II populating with a statistic like mean
Populating the missing values with the mean of the variable, populating the missing value with the mean grouped by another variable.