1718t1is428T6 Proposal
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Dataset/Source | Data Attributes | Rationale Of Usage |
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Related Works | What We Can Learn |
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Other than looking at related work, we can also reference and look for inspirations from other interactive visualizations created by others.
Reference of Other Interactive Visualization | What Can We Learn? |
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An analysis of property pricing in Singapore Source: https://app.vizili.com/explore |
Hover over technique: |
An analysis of taxi availability in Singapore |
Hexagonal binning: |
An analysis of home prices, sales and inventory in U.S. |
Filter: |
The following are some of the key technical challenges that we may face throughout the course of the project:
Key Technical Challenges | How We Propose To Resolve |
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Lack of experience in using D3.js and Javascript |
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Lack of experience in implementing interactivity and animated designs in viz application. |
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Data cleaning and transformation |
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Unfamiliar with hosting of web application on server |
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The following shows our project timeline for the completion of this project:
The following are some of the tools/technologies that we will be utilizing during the project:
- D3.js (Creating charts)
- Leaflet.js (For map)
- Sublime Text (For coding)
- EasyPHP (hosting on localhost)
- Photoshop (Modifying images)
An analysis of property pricing in Singapore (https://app.vizili.com/explore)
An analysis of taxi availability in Singapore (https://yongquanben.github.io/sg_taxi_availability/)
An analysis of home prices, sales and inventory in U.S. (https://www.redfin.com/blog/data-center)
D3.js (https://d3js.org/)
Examples of D3 charts by Mike Bostock (https://bost.ocks.org/mike/example/)
The following show the proposed storyboard that we designed during our brainstorming sessions:
These are some of the sketches we have done during our fruitful meetings. However, the final idea is still based on the proposed storyboard after few consultations with Prof. Kam.
All comments are welcomed