Linear Regression - Project
E commerce company based in New York City that sells clothing online but they also have in-store style and clothing advice sessions.
Customers come in to the store, have sessions/meetings with a personal stylist, then they can go home and order either on a mobile app or website for the clothes they want.
The company is trying to decide whether to focus their efforts on their mobile app experience or their website.(it's fake data. it's not real credit card numbers or emails)
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GET THE DATA
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GET THE DATA
First of all I will import libraries that I need to use in this project, then I will import data set to my jupyter notebook.
Next, I will Check the head of customers, and check out its info() and describe() methods
I will use seaborn to create a jointplot to compare the Time on Website and Yearly Amount Spent columns. Does the correlation make sense?
Next, I will find relationships across the entire data set by using pairplot
Based off this plot it looks like Length of Membership is the most correlated feature with Yearly Amount Spent
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