Project Groups
IS428 Visual Analytics for Business Intelligence
|
|
|
|
|
|
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 |
|---|---|---|---|
 |
Sharpening Policy and Planning with Visual Analytics Abstract (NOT more that 350 words) |
| |
 |
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. |
| |
| Project team name
Project title |
Abstract (NOT more that 350 words) |
| |
| Project team name |
Project title Abstract (NOT more that 350 words) |
| |
| Project team name |
Project title Abstract (NOT more that 350 words) |
| |
| Project team name |
Project title Abstract (NOT more that 350 words) |
| |
 |
Project title Abstract (NOT more that 350 words) |
| |
 |
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). |
| |
| Project team name |
Project title Abstract (NOT more that 350 words) |
| |
| Project team name |
Project title Abstract (NOT more that 350 words) |
| |
 |
Allowing Singaporeans to Visualise Resale Prices Trend and Characteristics Abstract (NOT more that 350 words) |
|
