Reproducible Pitch for Diamond Price Prediction App

• The Diamond Price Prediction App was designed as a Shiny Application using RStudio.
• The app allows a user to input various characteristics of a diamond to get a price prediction.
• Diamond Characteristics include:
  = Carat Size (numeric value that increases by a factor of .01)
  = Cut (ranges from 'Ideal' to 'Fair')
  = Color (ranges from 'Colorless D' to 'Near Colorless J')
  = Clarity (ranges from 'Flawless' to 'Included')
• The app uses prediction algorithm to determine a price
• The application generates a plot to show the price (y axis), carat size (x axis) for the selected cut, color and clarity.
• A regression line is added to give users an idea of the value for varying carat size and/or price changes.

• The shiny web application conistst of 2 main files (ui.R & server.R) held in the following GitHub Repository
• The GitHub respository also contains a file called User_Document.md which provides the step by step instructions for using the application.

In this application, the predicted values will be based off the actual data from the Diamonds dataset. The r codes below represents the plot of the actual prices in relation to carat size and cut. This will be the basis for creating the prediction model.

library(ggplot2)
ggplot(aes(x = carat, y = price), data = diamonds) + 
  geom_point(alpha = 0.5, size = 1, position = 'jitter',aes(color=cut)) +
  ggtitle('Price by Carat Size and Cut')