Difference between revisions of "ISSS608 2016-17 T1 Assign1 XXX"

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[[ISSS608 2016-17 T1 Assign1_Zhang Jinchuan]]
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[[ISSS608 2016-17 T1 Assign1 Wesley Chan]]
 
=Abstract=
 
=Abstract=
<br/>Public housing in Singapore is governed by the Housing and Development board. HDB flats are home to over 80% Singaporeans and hence it is important for all the stake holders to understand the supply and price trends for public housing. This will greatly influence the planning in future.
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<p>Having worked and lived here in Singapore for a few years, my friends and colleagues would always advise me to buy a property here, instead of renting one, as it was in their words a “sure-win” investment, due to growing demand from both Singapore residents and overseas investors, as well as limited land supply in Singapore.
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<br/>
 
<br/>
 
<br/>
  
 
=Problem and motivation=
 
=Problem and motivation=
<p> The study aims at -<br/>
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Buying a property in Singapore is probably one of the biggest financial decisions that I would make in life, given the high costs of properties in Singapore.  
* Understanding the share of supply of resale public housing in 2015. <br/>
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* Studying the distribution of resale prices with respect to important dimensions such as town and flat type.<br/>
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The Housing Development Board (“HDB”) resale market has been in the doldrums for a few years now following the introduction of property cooling measures by the Singapore government viz. the Additional Buyer’s Stamp Duty (“ABSD”) and Total Debt Servicing Ratio (“TDSR”). Public housing prices have, however, showed signs of stabilising lately, with some property analysts calling that prices may have bottomed out in the third quarter of 2015 .  
* Compare the patterns for 2015 and first half of 2016.<br/>
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* Note key observations and inferences through visual analytics. The goal is to note a minimum of 3 observations in each case.
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The burning question thus pops up: Is it time to buy now? How do I go about choosing a property? What are the factors that affect property prices in Singapore?  It is perhaps opportune, to start monitoring now, with the use of visual analytics.
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  -<br/>  
 
</p>
 
</p>
  

Revision as of 16:41, 29 August 2016

ISSS608 2016-17 T1 Assign1 Wesley Chan

Abstract

Having worked and lived here in Singapore for a few years, my friends and colleagues would always advise me to buy a property here, instead of renting one, as it was in their words a “sure-win” investment, due to growing demand from both Singapore residents and overseas investors, as well as limited land supply in Singapore.

Problem and motivation

Buying a property in Singapore is probably one of the biggest financial decisions that I would make in life, given the high costs of properties in Singapore.

The Housing Development Board (“HDB”) resale market has been in the doldrums for a few years now following the introduction of property cooling measures by the Singapore government viz. the Additional Buyer’s Stamp Duty (“ABSD”) and Total Debt Servicing Ratio (“TDSR”). Public housing prices have, however, showed signs of stabilising lately, with some property analysts calling that prices may have bottomed out in the third quarter of 2015 .

The burning question thus pops up: Is it time to buy now? How do I go about choosing a property? What are the factors that affect property prices in Singapore? It is perhaps opportune, to start monitoring now, with the use of visual analytics.

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Tools Used


Tableau version 10.0

Approaches

  • Data collection and cleaning:

The housing data for 2015 and 2016 is available at https://data.gov.sg .The data is clean and ready for analysis. It was necessary to format few fields and data types to be ready to use with the tool.

  • Understanding the data:

The various dimensions used in the data set needs to be recorded. This can be easily achieved with appropriate visualization tools. Then we make a note on the different parameters we wish to study and the suitable graphical representation for each case. For instance, Histograms and Box plots could be used to study the Distribution of continuous data types such as prices.

  • Analysis:

The data set is imported to the tool and Visual infographics are extracted for each case. With this we note our key observations and compare patterns.

Tools Utilised



Results