Big Data Ananlysis on housing price index from mass media, govertment data and the real estate data

Abstract

Shelter is a basic human need. However, Hong Kong people are facing severe housing problem. Young generation could not afford to buy their own property by themselves owing to extremely high Hong Kong house price . Not only youngsters felt difficult to buy their house, even some people in Hong Kong was still living in such worse environment like "cage homes", subdivided units and roof-top flat. In recent years, Internet becomes more informative than that in the past since mass media and other companies are more likely to deliver their messages or information via website. In addition, Hong Kong government has established data.gov.hk to share open data to the public so as to utilize the usage of data and adopt the big data century, which allows the public to access and download their open resources. This project aims to perform data analysis on Hong Kong housing problem making use of rich information from the Internet. Also, it provides an alternative way to investigate the housing issue. In this project, I applied data mining technologies to analyse data and perform data processing on data collected from the Internet.