Perform uni-variate and bivariate analyses

November 2, 2019

Cardio Fitness Project
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• Due Oct 12 by 6:30pm

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• Points 60

• Submitting a file upload

• Available Oct 4 at 3:30am – Oct 12 at 6:30pm 9 days
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 R.
You are expected to do the following :

  1. Come up with a customer profile (characteristics of a customer) of the different products
  2. Perform uni-variate and bivariate analyses
  3. 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 variable
  4. Product – the model no. of the treadmill
  5. Age – in no of years, of the customer
  6. Gender – of the customer
  7. Education – in no. of years, of the customer
  8. Marital Status – of the customer
  9. Usage – Avg. # times the customer wants to use the treadmill every week
  10. Fitness – Self rated fitness score of the customer (5 – very fit, 1 – very unfit)
  11. Income – of the customer
  12. 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 business.
    Minimum Steps for exploration:
  13. Importing the dataset into R & understanding the structure of a dataset
  14. Basic summary of data and graphical exploration
  15. Observations from the dataset
    Submission Guidelines :
  16. You can submit the output/report in any file format – the key part of the output is the set of observations from the exploration
  17. Please don’t share your R code and/or outputs only, we expect some verbiage/story too – a meaningful output that you can share in a business environment
    Grading Criteria:
    Component 60 % weightage
    Understanding the structure of the data 3 5%
    Univariate analysis 12 20%
    Bivariate analysis 15 25%
    Quality & use of visualisations 9 15%
    Conclusion 15 25%
    R Code 6 10%
    Thanks
    Program Office
    Rubric
    Cardio Fitness Rubric
    Cardio Fitness Rubric
    Criteria Ratings Pts
    This criterion is linked to a Learning OutcomeUnderstanding the structure of the data 3.0 pts
    This criterion is linked to a Learning OutcomeUnivariate analysis 12.0 pts
    This criterion is linked to a Learning OutcomeBivariate analysis 15.0 pts
    This criterion is linked to a Learning OutcomeQuality& use of visualisations 9.0 pts
    This criterion is linked to a Learning OutcomeConclusion 15.0 pts
    This criterion is linked to a Learning OutcomeR Code 6.0 pts
    Total Points: 60.0
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