Times World University Ranking (2011-2016)

IS590 Data Visualization, final project

By: Ke-Rou Wang
This is a final project for the IS590 Data Visualization course at UIUC, school of information science and instructed by Dr. Jill Naiman.

Basic information of the dataset

Dataset: Times World University Ranking (2011-2016) -obtained from Data.World, contributer: Hozefa Haveliwala.

Link (URL) of the dataset

License of the dataset: Based on Data.WOrld’s Common Data License type, “The work has been dedicated to the public domain by waiving all rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law.”

My visualization-Times World University Ranking (2011-2016)by countries

The visualization displays data obtained from Data. World and is for establishing from 2011-2016, for each country has how many universities that have been ranked as top 50 universities among the world. The data is displayed as histograms that show statistics altered over the years.

Among this visualization, we can clearly understand the time-based distribution among a specific country over time, and can also see the exact numbers of the universities for each year.

To utilize the visualization, we should select the country at the top of the visualization first, this visualization has counted all the top 50 universities from 2011-2016, so all the universities that have been ranked as top 50 are able to be selected. After selecting the country, we should be able to see for the selected country, how many universities (y-axis) have been ranked as top 50 from 2011 to 2016 (x-axis).

Visualization

Select a country:

Compare to other visualizations about the world university ranking

1. Plotting-Graphic feed: visualization of national origins of THE World University Ranking top 100 (By GLOBALHIGHERED, 2010)

Compare to my work, the visualization done by GLOBALHIGHERED, called “Graphic feed: visualization of national origins of THE World University Ranking top 100” (2010), GLOBALHIGHERED’s work counted only one specific year’s top 100 universities’ data and display it as plots. This visualization can help readers has a concept of how much universities there are for each country. However, for countries that have fewer universities been ranked as top 100, the circle could be smaller, which means people might not able to see the exact number of the universities among countries (e.g., Ireland).

2. University Visualization D3 (By Nehama. S., and Glenn. P., 2016)

Compare to my work, Nehama. S. and Glenn. P.’ (2016)’s work was specifically about the world university rankings in 2011, whereas it shows more detail information among their visualization. The most interesting thing about this visualization is that it is able for users to compare different universities’ (E,g. Harvard University and Columbia University) detail information, such as Teaching Score, Research Score, and Income Score, which may influence their rankings.

Reference

  1. Nehama. S., & Glenn. P. (2016). UniversityVisualizationD3. Retrieved from https://github.com/pdglenn/UniversityVisualizationD3
  2. GLOBALHIGHERED. (2010). Graphic feed: visualization of national origins of THE World University Ranking top 100 (2010). Retried from https://globalhighered.wordpress.com/2010/09/16/graphic-feed-visualization-of-national-origins-of-the-world-university-ranking-top-100-2010/
  3. Naiman. J., (2019). IS590DVO - Data Visualization. Retrieved from https://uiuc-ischool-dataviz.github.io/spring2019online/
  4. Idyll instruction. Retrieved from: https://idyll-lang.org/docs/components
  5. Hozefa Haveliwala (2016) Times World University Ranking (2011-2016) Retrieved from https://data.world/hhaveliw/world-university-ranking-2016, dataset retrieved from https://query.data.world/s/ ly237ztepnjxemwmftzkmb6v4gbdgd