This report provides an exploratory analysis and explains the goals for the eventual app and algorithm for the Capstone Project in the Coursera Data Specialization Course. R programming will be the major tool used in the project. Objectives: - Downland and load the Swift Key data set - Create a basic report of summary statistics about the data sets - Report findings - Get feedback on the plans for the prediction algorithm and Shiny app

This presentation is part of Developing Data Products class and has the documentation for the Diamond Price Prediction application (https://isisibarra.shinyapps.io/DiamondPrice/). The application goal is to predict a diamond's price by applying a linear regression model to the selected characteristics. The user can choose a value from the following properties: - Carat - Cut - Color - Clarity The application was built using Shiny web application and deployed using the R server. Both files can be found within the Github repo (https://github.com/isis-ibarra/Developing-Data-Products).

Peer-graded Assignment: R Markdown Presentation & Plotly

Peer-graded Assignment: R Markdown Presentation & Plotly

Peer-graded Assignment: R Markdown Presentation & Plotly

Peer-graded Assignment: R Markdown Presentation & Plotly

Practical Machine Learning Assignment

Peer-graded Assignment: R Markdown and Leaflet