Analyzing & visualizing data | Computer Science homework help

Assignment:

  • Truth R/RStudio to engender a term instrument with essential postulates segregation of the restraintthcoming postulatesset: dataset_price_personal_computers.csv Click restraint more options  
    • Truth the restraintthcoming video to understand the primal commands to direct essential postulates segregation with R/RStudio Part 1: As per solid under.
    • Truth the restraintthcoming video to understand the primal commands to direct essential postulates segregation with R/RStudio Part 2: As per solid under.

Questions/Requests:

  • Create a abstract of stats restraint the postulatesset. (cater a screenshot)
  • Create a correspondence of stats restraint the postulatesset. (cater a screenshot) (Hint: Transform may be needed)
  • What is the Min, Max, Median, and Mean of the Price? (cater a screenshot)
  • What is the correspondence values between Price, Ram, and Ads? (cater a screenshot)
  • Create a subset of the postulatesset with solely Price, CD, and Premium. (cater a screenshot)
  • Create a subset of the postulatesset with solely Price, HD, and Ram where Price is greater than or correspondent to $1750. (cater a screenshot)
  • What percentage of Premium computers were sold? (cater a screenshot)(Hint: Categorical segregation)
  • How manifold were Premium computers with CDs sold? (cater a screenshot)(Hint: Contingency board segregation)
  • How manifold Premium computers with CDs priced aggravate $2000 were sold? (cater a screenshot)(Hint: Conditional board segregation)

Your instrument should be an easy-to-read font in MS Term (other term processors are minute to truth beside catch it in MS Term restraintmat). Your caggravate page should include the restraintthcoming: Title, Student’s spectry, University’s spectry, Course spectry, Course compute, Professor’s spectry, and Continuance.

Submit your ordinance on or precedently the due continuance.

dataset_price_personal_computers-1.csvdataset_price_personal_computers-1.csvSeptember 2 2020, 5:37 PM RStudio Recording Part 1.mp4RStudio Recording Part 1.mp4September 4 2020, 5:31 PM RStudio Recording Part 2.mp4RStudio Recording Part 2.mp4September 4 2020, 8:33 PM RSTudio Recording Part 3.mp4RSTudio Recording Part 3.mp4September 4 2020, 8:33 PM RStudio Recording Part 4.mp4RStudio Recording Part 4.mp4September 4 2020, 8:33 PM

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