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A case study to learn Shiny. Exploratory analysis of mortgage data from Delaware, Maryland, Virginia area from 2012 to 2014.

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Mortgage Analysis DMV

Arpan Bhattacharya

05/17/2016

CONTENTS

Shiny Interactive App and Code for Methods - App.R

Configuration and Deployment Instructions - README.md

The app is self contained within App.R file. Data needs to to be downloaded and added to the working directory. Data can be downloaded here: http://data.arpan.info/2012_to_2014_loans_data.csv http://data.arpan.info/2012_to_2014_loans_data.csv Please ensure that the following data files are available in the working directory:

- '2012_to_2014_loans_data.csv'
- '2012_to_2014_institutions_data.csv' 

Please ensure the following packages are installed:

  • ggplot2
  • rjson
  • shiny
  • dplyer

RUNNING THE APP

The best way to run this app, instead of running it all at once which takes a while, is to first run lines 1 to 142. This will build all the derivative datasets using the hdma_init and hdma_to_json functions. These derivative datasets will be used to create the interactive Shiny charts.

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A case study to learn Shiny. Exploratory analysis of mortgage data from Delaware, Maryland, Virginia area from 2012 to 2014.

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