The design of a visualization.

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 typesUse RStudio to generate the list of simple graphs below using the provided datasetThe windows are Code/or file contents, Console, Environment/Files (num observations and variables), Plots/GraphsThe submission MUST include the screen captures of the multiple windows for each graph listed or 0 points will be earnedGraphs to Produce:Pie Chart:Create a pie chart of the computer ramLabel 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 useTitle the pie chart as “Computer Ram”Color the pie chart using the rainbow optionBar Plot:Create a barplot of the computer screen sizesLabel 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 pricesLabel 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 categoryLabel 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 sizeLabel 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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