Assignment: Data Science & Big Data Analytics- Using R/R Studio
Background: This course is all about data science and big data analytics that involves data visualization. This assignment requires the need for an understanding of the dataset that we are using to create the visualizations.
Requirements:
1. Use R/RStudio to generate a word document with basic data analysis of the attached dataset: dataset_price_personal_computers.csv
2. Create a summary of stats for the dataset. (provide a screenshot)
3. Create a correlation of stats for the dataset. (provide a screenshot) (Hint: Transform may be needed)
4. What is the Min, Max, Median, and Mean of the Price? (provide a screenshot)
5. What are the correlation values between Price, Ram, and Ads? (provide a screenshot)
6. Create a subset of the dataset with only Price, CD, and Premium. (provide a screenshot)
7. Create a subset of the dataset with only Price, HD, and Ram where Price is greater than or equal to $1750. (provide a screenshot)
8. What percentage of Premium computers were sold? (provide a screenshot) (Hint: Categorical analysis)
9. How many Premium computers with CDs were sold? (provide a screenshot) (Hint: Contingency table analysis)
10. How many Premium computers with CDs priced over $2000 were sold?
Format your assignment according to the following formatting requirements:
1. The answer should be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides.
2. The response also includes a cover page containing the title of the assignment, the student's name, the course title, and the date. The cover page is not included in the required page length.
3. Also include a reference page. The Citations and references should follow APA format. The reference page is not included in the required page length.
Download:- Dataset-Price-Personal-Computer.rar