### Recategorize Age Groups

In [compute_historic_export_prepared](recipe:compute_historic_export_prepared) we choose to redistribute the age variable according to wider age groups. The three new age groups are 18-35, 36-55, and 55 + . These groups distinguish customers according to common marketing groups that is consistent with other analyses. 

In the [subsequent analysis](statistics_worksheet:BWtOVdTC9s), the chi-square test shows the new age groups are not independently distributed from the churn variable. Additionally, the overall distribution of Age is statistically different between Active and Churned. This will be an important variable to assess for overall fairness during the model devleopment and deployment process.

### Create Dummy Variables

The location, contract, payment method, and paperless billing variables are recategorized as dummy variables for the purposes of correlation tests during EDA. The Status variable is also recoded as numeric - downstream modeling should take note of this and not include this variable in model development. 