R presentation on Diamond Price app

The app is built for the diamonds dataset from the ggplot2 package.

The diamonds data consists of prices (US dollars) for over 50,000 diamonds. It includes the following variables:

• carat: weight of the diamond
• cut: standard of the cut, i.e. Fair, Good, Very Good, Premium or Ideal
• colour: colour of the diamond ranging from D (best) to J (worst)
• clarity: how clear the diamond is
• x, y and z: the length, width and depth of the diamond in mm
• depth: the total depth percentage, i.e. depth = z / mean(x,y)
• table: the width of the top of the diamond relative to the widest point.

The app does the following:

• Presents the relationship between diamond price and other variables as a scatter plot or boxplot.
• Plots a linear regression line on the graph (in red) for continuous variables.
• Calculates the Pearson correlation coefficient for continuous variables, e.g. the correlation between price and carat is 0.9215913.
• Provides the option to consider log(price) and the log of other continuous variables.