Basic Data Analysis in RStudio

Basic Data Analysis in RStudio

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

Assignment:

Questions/Requests:

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

URL to class Basic Data Analysis in RStudio:

https://s3.amazonaws.com/blackboard.learn.xythos.prod/5a31b16bb2c48/3149183?response-cache-control=private%2C%20max-age%3D21600&response-content-disposition=inline%3B%20filename%2A%3DUTF-8%27%27Basic%2520Data%2520Analysis%2520in%2520RStudio.mp4&response-content-type=video%2Fmp4&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20200904T150000Z&X-Amz-SignedHeaders=host&X-Amz-Expires=21600&X-Amz-Credential=AKIAYDKQORRYTKBSBE4S%2F20200904%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=8ccc495069ce1f31f88c61d6cec5235b4bf5a4b623989010dfef45bc1c42b18d

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