Data Science Specialization - Final Project

Pierre Baudin
14-May-17

Builing Data Product using Shiny Application

Final project for the Data Science Specialization

Proposed by: John Hopkins University Available on: http://coursera.org

What is Shiny?

  • A web application framework for R
  • Turn your analyses into interactive web applications
  • No HTML, CSS, or JavaScript knowledge required

For more details, please visit:

http://shiny.rstudio.com/

Project Details

Objective:

Present stock data and basic forecast

Allow user to adjust:

  • the timeframe
  • inflation
  • forecast period
  • confidence interval

Shiny logo

Basics of the application

  • Using the quantmod package, the application uses data from Yahoo finance
  • The stock price is adjusted for inflation using the data from the Federal Reserve Bank of St. Louis.
  • Forecast is computed using a basic arima function using the forecast package.
  • Interactive plot of the forecast object uses ggfortify.

Shiny App Intructions

  • Enter a stock code (example: PFE for Pfizer)
  X PFE.Open PFE.High PFE.Low PFE.Close PFE.Volume PFE.Adjusted
1 1    26.15    26.42   25.98     26.29   40644800     16.94124
2 2    26.38    26.57   26.29     26.38   32246200     16.99923
  • Select the time period you are interested in
  • Select whether you want to adjust for inflation
  • Select the forecast period (in number of days)
  • Select the confidence interval

Enjoy the app!

https://pjbaudin.shinyapps.io/c9_finalproject/