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Posted: March 2nd, 2023
Analyzing & visualizing data | Computer Science Assignment: I need help writing a research paper.
Assignment:
- Use R/RStudio to generate a word document with fundamental data analysis of the following dataset: dataset_price_personal_computers.csv
- Use the following video to learn the simple commands to conduct fundamental data analysis with R/RStudio Part 1: As per attached below.
- Use the following video to learn the simple commands to conduct fundamental data analysis with R/RStudio Part 2: As per attached below.
Questions/Requests:
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- 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 were Premium computers with CDs 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.
dataset_price_personal_computers-1.csvSeptember 2 2020, 5:37 PM
RStudio Recording Part 1.mp4September 4 2020, 5:31 PM
RStudio Recording Part 2.mp4September 4 2020, 8:33 PM
RSTudio Recording Part 3.mp4September 4 2020, 8:33 PM
RStudio Recording Part 4.mp4September 4 2020, 8:33 PM
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