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Age bins

You found a great insight that senior citizens churn more often. This suggests it might be a good idea to analyze age in general. Your job is to create different age bins, and create a combo chart visualizing the numbers 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 workbook of the previous exercise 2_1_demographics_investigation_solution.twbx from the Workbooks folder.

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Case Study: Analyzing Customer Churn in Tableau

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