Data: Simple Graphs in RStudio
Background: As we have learned, a lot of thought goes into the design of a visualization. This week we review how the data types influence the graphing types.
Assignment:
- Use RStudio to generate a word document with simple graphs of the following dataset: dataset_price_personal_computers.csv
- Review the slides to learn the data types requirements for each graph type: Analyzing and Visualizing Data – Selecting a Graph.pptx
- Use the following videos to learn the commands to produce simple graphs in RStudio: RStudio – Simple Graphs – Part1.mp4 | RStudio – Simple Graphs – Part2.mp4
Graphs to Produce:
Pie Chart:
- Create a pie chart of the computer ram
- Label the ram sizes as follows: 2GB, 4GB, 8GB, 16GB, 24GB, 32GB
- Title the pie chart as “Computer Ram”
- Color the pie chart using the rainbow option
Bar Plot:
- Create a barplot of the computer screen sizes
- Label the x axis as “Screen Sizes”
- Label the y axis as “Frequency”
- Title the barplot as “Computer Screen Sizes”
- Color the bars in the barplot any color you wish.
Histogram:
- Create a histogram of the computer prices
- Label the x axis as “Prices”
- Title the histogram as “Computer Prices”
- Give the histogram any color you wish.
Box Plot:
- Create a boxplot of the comparing the computer price and premium category
- Label the y axis as “Price”
- Label the x axis as “Premium”
- Title the boxplot as “Premium Computer Prices Distribution”
- Color the boxplot any color you wish.
Scatter Plot:
- Create a scatter plot of computer price and hard drive size
- Label the x axis as “Hard Drive Size”
- Label the y axis as “Price”
- Title the scatter plot as “Computer Price vs Hard Drive Size”
- Color the scatter any color you wish.
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.