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With the continually rising prices of car prices in Singapore and the increasing polarisation of incomes in the country, our group is curious as to discover what have been the changes in the market demand for cars.
Going deeper into the market, we will also show how the tastes for car brands have waxed and waned over the years. Demand for cars like Datsun and Supra have disappeared off the roads, while Fords and Audis have taken their places. Are Singaporeans starting to prefer more American and German cars than before? From this visualisation, car manufacturers are able to clearly segment the car market in Singapore and target the right group of buyers.
We aim to deliver a highly interactive web application that allows someone to easily navigate between a large amount of time-series data and geographical data.
Our intended audience is:
- Car dealers to make better forecast for car stock
- Prospective car buyers
In this project, we will be focusing on the following:
- To discover the trend of registered cars and the COE for different brands across time
- To help consumers discover current and future COE trends for different cars categories (A & B)
- Trends in Singapore car market by brand (geography, market segmentation)
For this visualisation we need a few datasets.
- CIEC - List of car brands and the no. of registered vehicles (TBC)
Below are the list of Table Header name, description and an example for each table.
(TBC)
Chord Diagram
Chord Diagrams are a graphical method of displaying inter-relationships between data in a matrix. In this graphical method, the data is arranged in a circle where it will show the relationships between the various points. We believe that using a chord diagram would be effective as we would be able to visualise the number of passengers travelling between the various states. We would be using D3.js's Chord diagram, since it is both easy to implement and is interactive at the same time.
Brick Map
Brick Maps are maps that use bricks to give visualise the absolute amount of people in a geospatial space. We chose to use brick map, because it would give an overview of the number of passengers travelling from each state, and also because it is challenging, as stated from the prof. In order to build this, we would have to build our own libraries, since there is no brick map in any library.
Cross Filter
Cross filter is a library that is flexible and allows for people to select a range of dates easily. Since we have to visualise time-based data over 15 years. we intend to make it as flexible and easy to use for all users.
Our Group has decided on the below storyboard in order to make it clear for users to have an overview of the flight data, airplane crashes, have a comparison between 2 dates, and any details that they would like to have.
| Technical Challenges | Mitigation Plan |
|---|---|
| Lack of Javascript/d3.js Competence |
|
| Acquiring Data, Data Cleaning |
|
| Creation of Brick Map overlay |
|
Our team has decided to focus on these few tools and libraries in order to showcase our product.
- D3.js
- HighChart.js
- Tableau
- Notepad++
- Adobe PhotoShop
