Highlights
1. What are the most popular memberships among 20-25 years old? Can you please choose an appropriate visualisation to present the results?
2. What is the busiest time for members to visit? Is it different by different branches/locations? (HomeBranch column)
3. What is the average membership duration (how long the person has been a member till date) by different age groups? Which age group should a gym target to maximise their overall membership duration?
NULL signify open memberships that do not have an end date.
4. What are the top programs/sessions for different age groups spilt by gender?
5. Is there a correlation between visits and program/session participation? If so, what are your conclusions?
6. If you were to consider developing a Machine learning model to predict membership length, what other variables would you consider in this case, and why? Can you also elaborate which algorithm that you would use, and why?
7. What are the main data issues that you faced while working on these datasets and how did you solve it?
8. Use the data to generate insights which you think will be useful for the business (max 3 insights). Explain why you think they are important.
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