Basic data analysis in rstudio

 

Background: This course is all about data visualization. However, we must first have some understand about the dataset that we are using to create the visualizations.

Assignment:

Questions/Requests:

  • Create a summary of stats for the dataset. (provide a screen shot)
  • Create a correlation of stats for the dataset. (provide a screen shot) (Hint: Transform may be needed)
  • What is the Min, Max, Median, and Mean of the Price? (provide a screen shot)
  • What is the correlation values between Price, Ram, and Ads? (provide a screen shot)
  • Create a subset of the dataset with only Price, CD, and Premium. (provide a screen shot)
  • Create a subset of the dataset with only Price, HD, and Ram where Price is greater than or equal to $1750. (provide a screen shot)
  • What percentage of Premium computers were sold? (provide a screen shot)(Hint: Categorical analysis)
  • How many Premium computers with CDs were sold? (provide a screen shot)(Hint: Contingency table analysis)
  • How many Premium computers with CDs priced over $2000 were sold? (provide a screen shot)(Hint: Conditional table analysis)

Your document should be an easy-to-read font in MS Word (other word processors are fine to use but save it in MS Word format). Your cover page should contain the following: Title, Student’s name, University’s name, Course name, Course number, Professor’s name, and Date.

Submit your assignment on or before the due date.

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