ISSS608 2016 17 T1 Project Team 3 Proposal
|
|
|
|
|
Background
Ranking is a common approach to structure the seemingly unstructured by placing a value to each attribute, and then often giving the attribute a weighted value. This helps us in evaluating the merits of a product or service. In this project, we go into the world of university ranking to investigate how each university fare and what are the attributes that matter.
Motivation & Objectives
University ranking is always one consideration for to-be applicants. There is a certain prestige in having a better ranking, and universities generally work towards having better standing. According to Kaggle, "Ranking universities is a difficult, political, and controversial practice."
Through this visual analytics project, we look to analyse the world distribution of these universities, its attributes, rankings over time, and seek to draw insights from them.
This would also help parents, to-be applicants in their research for making informed decision in selecting their dream universities to pursue their higher education. 3 different sets of available university rankings are used in this visualizations. This would serve as an one stop-shop for them, instead of them scurrying about different websites and resources.
In summary, we would seek to uncover:
- University distribution and their ranking
- Attributes that matter in ranking
- University performance across time
We would also seek to provide a web application where the user can compare the 3 different world rankings, namely, Center for World University Rankings (CWUR), Shanghai Academic Ranking of World Universities (ARWU), and Times Higher Education (THE) World University Ranking, at the touch of a finger in one URL.
