Difference between revisions of "Group21 Proposal"

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=Abstract=
 
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With inflation in prices of land and an increase in human population, the HDB resale market in Singapore has seen high volatility over the years. We observe that the market has significantly higher demand than supply, thereby creating a dilemma for people about the kind of HDB they should invest in. The data set contains information on the type of HDB, location of the HDBs, characteristics of the HDB (floor size, storey, flat model), lease commence date, resale prices, etc. Through the scope of this project, we intend to provide a detailed understanding of the HDB resale market movement so that the users of the application can make a more informed decision. We believe that real estate agents and brokers, economists, investors and other enthusiasts can use the application to understand market trends and make investment decisions.
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The Housing & Development Board (HDB) Market has faced high volatility in Singapore over the years. This dynamic and ever-changing market has observed drastic price fluctuations from 1990 to 2018.  While looking at the resale price trends in Singapore, it is observed that the market has seen a slightly upward bias in resale prices for 2018. Through the scope of this project, we intend to understand the current market trend of HDB Flats.
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With a fluctuation in prices of HDBs in the markets, the purchase decision for HDBs becomes a major commitment for any prospective buyer. Hence, it becomes very important to understand the resale price trends of HDBs across different locations in Singapore. This would enable the users of our application to gain insights and understand the market overview of HDB flats.  
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Through the scope of this project, we intend provide the real estate agents, brokers, investors and other enthusiasts with interactive visualizations to understand market trends and facilitate investment decision.
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=Motivation=
 
=Motivation=
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Understanding a market as dynamic as real estate which is ever changing can be challenging and we may use analytics to keep a close eye on the surge in the HDB market and understand the fluctuations in demand and supply and investment opportunities in real estate. Through our application, we wish to escalate HDB sales by matching demand and supply and creating a healthy market for transacting.
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Based on our research, we observed that the existing visual representations on resale price trends fail to provide comprehensive insights to the users. Looking at the existing visualizations, we realized the need for an interactive visual dashboard that would provide the users of the application with a holistic view of the HDB Resale Price trends. We intend to address the pressing issue stated above by employing data visualizations techniques to provide a visual summary of the resale price trends in Singapore for the most recent data, a 12-month period (from June 2017 to May 2018).
 
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Our desire to work on this project is encouraged by the interesting price trends of HDB flats in the market and data from Singapore Government website (https://data.gov.sg), where data is made readily available to the public for in-depth analysis.
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The software R is used as the code base. R enables us to deploy powerful visualizations and easily prepare the data. This allows us to design complex visualizations easily and gain insights. The functions are available in different packages and are used to develop the application. 
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=Review and Critic of Past works =
  
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Using the packages in R, we propose to understand the price trends of HDBs in different geographical locations of Singapore. We also intend to understand the market and create an interactive R shiny dashboard for the users of our application to help them choose a suitable property based on their requirements. Using uni variate and multi-variate analysis, we intend to create interactive visualizations for the users based on sales.  We also intend to use regression and other statistical concepts to predict the future trend in prices in the real estate market.
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Revision as of 12:00, 12 August 2018

MOVE TO WHAT MOVES YOU


Proposal

Poster

Application

Research Paper

Homepage

 


Abstract

The Housing & Development Board (HDB) Market has faced high volatility in Singapore over the years. This dynamic and ever-changing market has observed drastic price fluctuations from 1990 to 2018. While looking at the resale price trends in Singapore, it is observed that the market has seen a slightly upward bias in resale prices for 2018. Through the scope of this project, we intend to understand the current market trend of HDB Flats.

With a fluctuation in prices of HDBs in the markets, the purchase decision for HDBs becomes a major commitment for any prospective buyer. Hence, it becomes very important to understand the resale price trends of HDBs across different locations in Singapore. This would enable the users of our application to gain insights and understand the market overview of HDB flats.

Through the scope of this project, we intend provide the real estate agents, brokers, investors and other enthusiasts with interactive visualizations to understand market trends and facilitate investment decision.

Motivation

Based on our research, we observed that the existing visual representations on resale price trends fail to provide comprehensive insights to the users. Looking at the existing visualizations, we realized the need for an interactive visual dashboard that would provide the users of the application with a holistic view of the HDB Resale Price trends. We intend to address the pressing issue stated above by employing data visualizations techniques to provide a visual summary of the resale price trends in Singapore for the most recent data, a 12-month period (from June 2017 to May 2018).


Our desire to work on this project is encouraged by the interesting price trends of HDB flats in the market and data from Singapore Government website (https://data.gov.sg), where data is made readily available to the public for in-depth analysis. The software R is used as the code base. R enables us to deploy powerful visualizations and easily prepare the data. This allows us to design complex visualizations easily and gain insights. The functions are available in different packages and are used to develop the application.

Review and Critic of Past works


Scope of Project

Using JMP and R to perform the following:

  • Data cleaning and Preparation
  • Descriptive and Inferential Analysis
  • Time Series Analysis
  • Geospatial Analysis
  • Estimating future price trends


Data Source

The data was taken from https://data.gov.sg. The dataset contains the following columns:

File Name

Variables

Resale Flat Price 2015 onwards (.csv file)


1. Month
2. Town
3. Flat type, block and street name
4. Storey range, flat model and floor area
5. Lease commence date and remaining lease
5. Resale Prices