Preliminary Data Analysis. Explore the dataset and practice extracting basic observations about the data. The idea is to get comfortable working in Python.
Objective - Preliminary Data Analysis. Explore the dataset and practice extracting basic observations about the data. The idea is for you to get comfortable working in Python.
You are expected to do the following :
Come up with a customer profile (characteristics of a customer) of the different products Perform uni-variate and multi-variate analyses Generate a set of insights and recommendations that will help the company in targeting new customers Context - The data is for customers of the treadmill product(s) of a retail store called Cardio Good Fitness. It contains the following variables
Product - the model no. of the treadmill Age - in no of years, of the customer Gender - of the customer Education - in no. of years, of the customer Marital Status - of the customer Usage - Avg. # times the customer wants to use the treadmill every week Fitness - Self rated fitness score of the customer (5 - very fit, 1 - very unfit) Income - of the customer Miles- expected to run Explore the dataset to identify differences between customers of each product. You can also explore relationships between the different attributes of customers. You can approach it from any other line of questioning that you feel could be relevant for the business.
Minimum Steps for exploration:
Importing the dataset into Python & understanding the structure of the dataset Basic summary of data and graphical exploration Observations from the dataset