IS428 2016-17 Term1 Assign1 Liang Bing

Abstract

The focus of this report is using data visualization tools and techniques to find the change patterns of private property's supply and price by type of private property and regions in 4 quarters in 2015. By analyzing the patterns and their relationships, the report aims to give insights for suggesting development policies in 2016.

Problem & Motivation

Using the data set I have chosen, I have done a mini analysis to decide the attributes/variables which I am interested to study. And I found that the supply and price pattern for different types of private properties and for private properties in different regions appear to be clear and insightful. It drives me to think the following questions:

• What's the overall pattern for private properties' supply and price?
• What's the supply and price difference for different types of private properties?
• What's the supply and price difference for private properties in different regions?
• What's the relationship between the price and supply for the above two scenarios?

With these questions in mind, the data visualization and analysis conducted in this article should find out useful patterns, help me answer the above questions and suggest the policy of private properties supply for 2016.

Tools & Sites

Tools

• Microsoft Excel: Always powerful and user-friendly in dealing with huge data set. Used for merging data from different files.
• Tableau: Very powerful tool for data visualization and data analysis. However, it is lacking of a user-friendly UI and tutorials for rookies.

Sites

• 　The official Urban Redevelopment Authority website : It contains quite clear words explanation which helped a lot when I was confused about the URA data's terminology.

Approaches

Overall Supply and Price Pattern in 4 Quarters in 2015

• Data Source:
• Rationale