Customer characteristics in relation to fitness
- The goal of this project was to analyze a dataset of people that included things such as marital status, age, income, and fitness activity, then by having all of this information be able to determine relationships between specific characteristics and fitness levels and determine where we should be targeting our sales of treadmills too. By using python and pandas we were able to use the given data to determine who we should be targeting based on maybe their age or marital status. From using all of the information we came away with the results that there is a strong association between the number of miles run per week and income level. We also got the results that marital status does not affect the outcome of how many miles are run per week. What I learned from this is how to be able to analyze a large dataset and be able to break down the data to determine trends in the customers. By doing so I was able to determine what demographic we should be targeting in accordance with our line of products. I also came away with a very good understanding of pandas and different methods on how to determine correlation between two things.