Data Visualization and Statistical Inference for Beijing Housing Price

Background

This project is the final class project of BIOSTAT 625 Computing with Big Data fall 2019. This project is coauthored by Mukai Wang, Kangping Yang and Litian Zhou.

Summary

This repository contains all the codes necessary for constructing an R shiny app that offers interactive data visualization and statistical inference into a number of transactions on Beijing housing market from 2010 to 2018. For details please refer to our project report and our Shiny app.

Acknowledgements

• Kaggle (Data source, link)
• Amazon Relational Database Service (link)
• Shiny app developed by Rstudio(link)
• Leaflet map for R Shiny(link)
• Hui Jiang (Instructor of BIOSTAT625, Associate professor at University of Michigan Biostatistics, link)