Difference between revisions of "IS428 2016-17 Term1 Assign1 Liu Bowei"
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====Pattern 1==== | ====Pattern 1==== | ||
+ | [[File:BWPic7.png|800px]] | ||
+ | To get a glimpse of how the supply of private residential properties is distribution across the different property types, I created a bar graph with property type and the x-axis and number of units as the y-axis. We can see from this graph that Condominiums and Apartments make up a majority of the supply. | ||
+ | [[File:BWPic1.png|800px]] | ||
+ | I then created a bar chart to visualize the vacancy rate for each property type. The vacancy rate for Apartments and Condominiums are significantly higher than the other property types, with vacancy rate in Apartments being the highest. | ||
+ | |||
====Pattern 2==== | ====Pattern 2==== | ||
====Pattern 3==== | ====Pattern 3==== |
Revision as of 07:48, 29 August 2016
Contents
Abstract
Problem and Motivation
Singapore is a small country (719 Square Kilometers), with a growing population (5.54 million). Finding ways to house such a large number of citizens on such limited land is a valid concern, and the country needs to be able to use its remaining undeveloped lands wisely. As such, urban planning is important, especially in terms of housing. Using transaction data from the REALIS Database, I intend to identify patterns in the price and supply of private residential properties.
Approaches
Pattern 1
To get a glimpse of how the supply of private residential properties is distribution across the different property types, I created a bar graph with property type and the x-axis and number of units as the y-axis. We can see from this graph that Condominiums and Apartments make up a majority of the supply. I then created a bar chart to visualize the vacancy rate for each property type. The vacancy rate for Apartments and Condominiums are significantly higher than the other property types, with vacancy rate in Apartments being the highest.