Group11 proposal V2
Contents
Problem
The above is an example of information online in helping Singaporeans decide the type of house they could choose from. In the context of this project, Resale HDBs is the focal point of our project. Choosing a resale HDB has never been easy as there are many factors to consider such as location, HDB type, number of remaining lease years, resale value, etc. On top of that, thousands of Resale HDBs transactions are happening each month, making it almost impossible for an owner to get a view of every transaction. Therefore, the majority of buyers and/or sellers have to consult property agents for their services.
However, there are times where the service of a property agent may not be satisfactory to the buyer and/or seller. It is still advisable for the buyer and/or seller to have a better understanding of the resale market before making an informed decision. In most cases, people tend to rely on multiple platforms to help them in understanding and predicting the market trend. On that note, our team would like to know whether the information provided to them is truly insightful or usable. Thus, WeHouse comes into play to provide greater insights for people to better understand the HDB resale market which can provide better aid in making more informed decisions.
Motivation
Our team would like to minimise the number of visualisations a prospective buyer would have to see. The data visualisations provided by (someone) were generally overloaded with information, hence, we aim to create concise visualisations surrounding resale HDB trends. It is vital to relay critical information pertaining to yearly sales trends, average resale prices and volume based on floor level.
Objectives
In this project, we aim to deliver a focused and compact visualisation to allow Singaporeans to be well-informed of the average HDBs resale prices around their desired location.
- Overall change in HDB price trends over time by each planning region and by HDB Town (bar- line trend chart)
- Comparing price differences for each HDB Town area and planning region given the remaining lease of the HDB flat
- Determine which month had the highest or lowest resale price sold and number of transactions (tree map (month) - colour density based on resale prices, side by side box-plot: top 5 town areas by resale prices)
- Identify the most expensive streets within each Town area given the floor level
Background Survey
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List of References
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Source: https://www.hdb.gov.sg/cs/infoweb/residential/buying-a-flat/resale/resale-statistics |
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Source: https://www.srx.com.sg/heat-map |
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Proposed Storyboard
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Dashboard 3: 
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Technologies Used
Team Milestones
Comments
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