Group11 proposal

Proposal

Poster

Application

Research Paper

Roles

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 new transactions of Resale flats are happening every quarterly making it is almost impossible for an owner to view every single transaction. Therefore, making the majority of buyers and/or sellers to engage property agent services as it is their area of expertise.

Given the former, the service of a property agent may not always 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. However, is the information provided to them really 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

Given the abundance of information available on the internet in terms of resale prices. There have been online resources provided to map out HDB locations and prices, however, such visualisations tend to be overwhelming due to vast data and non-specialized focus on visualisations. We have learned how to identify the difference between a good and bad visualised graph and this makes it even clearer when we look at the data shown on various platforms. Therefore, instead of leaving people lost and confused about the kind of housing choices to make, we are here to help with our visualisations! Coupled with the hands-on in-class sessions, we are able to enforce what we learnt to play and explore re-organisation to present an interactive dashboard, specifically pertaining to HDB dwellings, to empower users to make better-informed choices of their HDB location.

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 using the following metrics.

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Data Set(s) Used

DataSource	Data Attribute	Data Description	Rationale of Usage
HDB Resale Flat Prices https://data.gov.sg/dataset/resale-flat-prices	Month	Year-Month label	To attain valuable insights on HDB Real estate prices which can be classified by the following Resale Prices trend by location Cost PSM Maturity of estate Area size and floor level vs Price
	Town	The various Singapore estates that have HDBs
	Flat Type	The types of HDB Flats in terms of number of rooms in the flat
	Block	The block numbers of each HDB flat
	Street Name	The various street names where the HDB flats are located
	Floor Area sqm (SQM)	The overall floor size of the HDB flat
	Flat Model	The phase in which the HDB flat is categorized under
	Lease Commence Date	Date lease begins for the HDB flat
	Remaining Lease	The number of years left for the HDB flat is reclaimed back by the government
	Resale Price	The price after the HDB is sold

Background Survey

Example	Takeaways
	The time-series chart used provides a detailed overview of the trending price index of HDB resale flats as each plotted point follows a quarter/year timeline. However, showing each year’s quarter does make the x-axis legend hard to process upon a quick glance. This chart could be further improved by adding a filtered selection to view the quarters for a specific year rather than all quarters for the 25 years displayed. Also, an average reference line could be added to provide a benchmark for the various price
	Although the use of HDB flat icons on the map does help in depicting the cluster of HDB flats in the specified area, however, it makes the visualisation too cluttered which impacts the map visuals as the street names / landmarks might be blocked.
	The heatmap provided good sectioning of HDB densities across singapore, however a lighter grey shade of the planning areas that are not highlighted could be included. With this addition it could depict a better idea on where the densities of HDBs are close to which other areas for route planning or even workplace mapping. The various colours used might not be a clear representation of exactly how dense the HDB planning area is. A gradual gradient of single colour could be used: darkest tone → lightest tone (Most dense town → Least dense town respectively)
	The use of pin-drop allows the user to get a visual representation of the landmarks in the area and the details provided in the visualisation are plentiful. However, the most important detail, pricing is not included which may defer users from utilising this platform to compare prices. The cluttered pins and multi-colour pins may be confusing to the user and the differences are not clear at first glance for a HDB buyer.
	The use of legends helps to tell which lines belong to which estate but the use of too many colours might detract viewers from the main purpose of the visualisation
	Here, the use of the treemap is good in terms of the colour-shading as appropriate colours are used depict the varying resale prices (Red → High Resale Prices) (Green → Average to Low Resale Prices) What’s lacking in this treemap is a little more in-depth information on the type of HDBs within the planning areas stated. It would be good to let viewers gain insight on which type of HDBs tend toward higher resale prices for future planning if home dwellers decide to sell the house at a later time

List of References

No.	Reference Link
1	Source: https://www.hdb.gov.sg/cs/infoweb/residential/buying-a-flat/resale/resale-statistics
2.	Source: https://services2.hdb.gov.sg/web/fi10/emap.html
3.	Source: https://www.srx.com.sg/heat-map
4.	Source: https://www.teoalida.com/singapore/hdbmap.htm
5.	Source: https://medium.com/@tianjie1112/singapore-hdb-resale-price-prediction-data-exploration-ac9e23de146
6.	Source: http://sgyounginvestment.blogspot.com/2018/03/visualisation-of-hdb-resale-prices-in.html

Proposed Storyboard

Dashboards	Rationale
Dashboard 1: Overview of Resale Trend in Singapore Volume VS Price	With the 1st dashboard, we will go with a dual axis bar and line chart to provide an overview on the trending HDB resale pricing over a series of 8 years. Each of the bars will depict the average resale prices per year coupled with a trending line that will depict if the resale prices are increasing or decreasing over the years. We have also included a side-bar that will enable users to filter their view of the trending resale prices of a specific town area in singapore.
Dashboard 2: Tree Map of Room Cost Vs Area	The 2nd dashboard aims at providing insight on how the HBD densities are segregated by the various towns within Singapore. With the use of a Treemap, we can depict the volume of HDBs by the size of each rectangular portion on the Treemap, upon clicking onto a specific town area, a box plot chart pop-up provides a detailed understanding of the averaging resale prices across the various HDB room types.
Dashboard 3: Animated Visualisation Heat Map of Singapore's HDB PSF Cost	We are intending to use an animated version with a static map that illustrates the variations in the changing cost PSF in generalised land marks With the animated version, we are able to note the trend of changing cost PSF in each area Together with the static version, any Singaporeans would be asble to understand the cost of HDB in each respective area

Key Technical Challenges

Challenges	Actions Taken
Challenge 1	Insert Text Here
Challenge 2	Insert Text Here
Challenge 3	Insert Text Here

Team Milestones

Comments

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