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
Use RStudio to generate the list of simple graphs below using the provided dataset
The windows are Code/or file contents, Console, Environment/Files (num observations and variables), Plots/Graphs
The submission MUST include the screen captures of the multiple windows for each graph listed or 0 points will be earned
Graphs to Produce:Pie Chart:
Create a pie chart of the computer ram
Label the RAM sizes for each amount of RAM discovered in the dataset formatted as 2GB, or 4GB, or 16GB, as examples – include ALL RAM sizes – this is an example only of the format to use
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.

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