Age groups
Good job on the previous exercise! You found a great insight that senior citizens churn more often. This suggests that it might be a good idea to analyze the customer age in general. Your job is to create different age bins and make a combo chart visualizing the number of customers per bracket and their respective churn rates.
We do not recommend doing so, but if you lost progress you can load the solution report of the previous exercise 2_1_demographics_investigation_solution.pbix from the Exercises folder.
Deze oefening maakt deel uit van de cursus
Case Study: Analyzing Customer Churn in Power BI
Praktische interactieve oefening
Zet theorie om in actie met een van onze interactieve oefeningen.
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