Project Groups

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Va.jpg IS428 Visual Analytics for Business Intelligence

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Visual Analytics Project

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Project Groups

Please change Your Team name to your project topic and change student name to your own name

Project Team Project Title/Description Project Artifacts Project Member
Precision Policy And Planning
Precision Policy And Planning logo.png

Sharpening Policy and Planning with Visual Analytics

With Singapore’s growing population and limited resources, she faces many pressing challenges for progressive development and economic growth. These challenges span across housing affordability, rising healthcare, aging population, education/income inequality, and low birth rates. For Singapore to continue progressing, it is imperative that the government continues to take proactive measures to plan and utilise its resources effectively. In this fashion, we strive to use visual analytics to help uncover some of the cracks in and opportunities in Singapore’s social demographic to assist the government in sharpening its current policies and to look into future plans. This is well in line with the government’s effort of making socially relevant data public to encourage innovation and discovery.

  • Ng Jun Hong
  • Choy Yu Min Justin
  • Jiang Xi
Rain & Shine
Rain & Shine.png

Property Visualizations with multiple factors

When it comes to purchasing or renting a property, there are many factors that go into a buyer’s consideration before he makes the final decision. The primary concern for buyers is the pricing of the property while secondary concerns will be things such as the weather and the amenities available.

The current tools that are available are only optimal to suit one category of concern, but fails when multiple categories of concerns are present.

  • Chua Ming Yu
  • Guo Lingxing
  • Tanny Lai
DevBuzz
Devbuzz.jpg

Visualizations and insights for software industry

In recent years, there is massive growth in the software industry. In order to help prospective coders who wish to pursue a career in this industry, it is crucial for them to understand what is in demand and also what to expect from this industry. Knowing such information will help to guide young coders, such as ourselves, to better manage our expectations and make more informed decisions while we are preparing to join this booming industry.

  • Ang Wei Xuan Dion
  • David Chow Jing Shan
  • Peh Anqi
Project team name

Visualize the underlying pattern behind suicide

Abstract (NOT more that 350 words)

  • Sherry Tao Shi Hua
  • Tian Mingze
Project team name

Project title

Abstract (NOT more that 350 words)

  • Darren Sim
  • Neo Tee Yong
  • Alyssa Rinelli
Project team name

Project title

Abstract (NOT more that 350 words)

  • Daniel Soh
  • Lim Si Ling
  • Kang Hui Yun
WE ARE TEAM MERS
Team mers logo.png

Project title

Abstract (NOT more that 350 words)

  • Nicholas Tan Jun Hao
  • Ong Li Ting
  • Yip Jian Ming
Wolf of HDB Street

WOHS.png

Visualizing HDB Resale Flat Prices & High value estates

As a buyer looking for Resale HDB flats, it can be difficult to make a purchase decision due to the lack of information in the market. Information such as increasing or decreasing price trends over the years for each estate (e.g. Tampines) or submarket (e.g. 4-ROOM flats) could be essential in the decision making process. Current tools available in the market are insufficient to supplement this decision making process as they can be unnecessarily detailed resulting in the inability to conduct a high level analysis (e.g. Price trends for each submarket and/or estate).

Our project aims to provide a one-stop visualization tool that allows Resale flat buyers the flexibility to switch between high level and funneled down views so as to make better purchase decisions.

  • Aaron Sim Huei Min
  • Arino Ang Jia Ler
  • Shivika Khemka
Project team name

Project title

Abstract (NOT more that 350 words)

  • Jordy Nelson Samuel
  • Parbat Shreyas
  • Gabriel Chuan Zhan Hong
Project team name

Project title

Abstract (NOT more that 350 words)

  • Cerulean
  • Melanie Tan
  • Ryan Wong
WeHouse
WeHouse Logo.png

Allowing Singaporeans to Visualise Resale Prices Trend and Characteristics

Abstract (NOT more that 350 words)

  • Koh Teck Yun
  • Lu ZhiMao
  • Rachel Lim Pao Ling