Data Products Presentation

TZiegler
24 April 2016

Introduction

This project is the assignment for the Coursera Courser “Developing Data Products”. It uses data of 119 multi-famyliy properties in central Europe. The size of the properties range from small (4 units) to large (396 units) and they were built between 184 and 17 years ago.

The Shiny App allows users to choos a property from a list. The application will reactively display:

  1. Property details and summaries
  2. A chart with the properties reconstruction activities and the corresponding costs

Running the Shiny App

The Shiny App is hosted here: https://teezed.shinyapps.io/data_products_course_project/

The files to build the shiny app can be found here: https://github.com/teezz/09_Data_Products_Course_Project

The app is a starter project for analysing and predicting reconstruction costs for the real estate market.

Example Data

head(properties[,7:10])
     costs  sqm rental_units year_construction
1   632.14 2624           53              1968
2 14294.19 2624           53              1968
3    21.87 2624           53              1968
4   934.34 2624           53              1968
5  2222.95 2624           53              1968
6   448.68 2624           53              1968

Plot Propert Size vs Reconstruction Costs

plot of chunk unnamed-chunk-4