Write Code in Python, Starting from your who$2$ data frame, create a new tibble, who$3,$ for which each 'key' value is split into three new variables:

'type', to hold the TB type, having possible values of rel, ep$,$ sn$,$ and sp;

'gender', to hold the gender as a string having possible values of female and male; and

'age$\_$group', to hold the age group as a string having possible values of $0-14,15-24,25-34,35-44,45-54,55-64,$ and $65+.$

The input data file is large enough that your solution might take a minute to run. But if it appears to be taking much more than that, you may want to revisit your approach.