ISSS608 2016 17 T1 Project Team 3 Report

Proposal

Poster

Application

Report

Motivation

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.

Review and Critic on Past Works

(Alvin)

Design Framework

Tools Used & Data Visualisation Elements

Tableau Visualisation

• CWUR

Lichin

• SHANGHAI

Christine

• TIMES

Alvin

d3.js

• Multi-Attributes Relationship

Scatter Plot

Parallel Coordinates Plot

Future Work

LC

• Inclusion of distribution of university on the choropleth map in D3 in ranking overview
• Inclusion of choice in choosing the country and university in indicator analysis for granularity view.
• Inclusion of a highlight feature for the selected node/university as its attribute moves through time in indicator analysis

Guides

Installation Guide

To run and use the application, please follow the following steps.

(1) Download the compressed package from the link provided below.

(Work in Progress)

(2) After unzipping the package, launch the ‘index.html’ file.

(Note: Mozilla Firefox is the preferred browser).

User Guide

After the ‘index.html’ file is launched using Mozilla Firefox, 5 tabs will present itself. One can toggle each tab to navigate through different visualizatons. Work In Progress