Small personal dataviz project aimed at visualizing and exploring world university rankings from a country-level perspective.

Visit the project's website

Questions:

• Which countries’ universities are ranked the best?
• How countries’ universities ranks distributions were changed across different years?

Tools Used:

• Python (pandas) for data preprocessing;
• R (ggplot2 + RMarkdown) for visualization and presentation.

Data Sources:

• Times Higher Education World University Rankings
• QS World University Rankings
• Academic Ranking of World Universities

Raw data and prepared dataset are available in the repository's data_raw and dataset folders accordingly. Data from 2014 to 2021. Ranking places were limited to TOP-500 universities from each ranking per year.

Notes: Some rankings don't assign exact rank and corresponding scores for universities presented in the rankings bottom range. That's why scores were recalculated using the corresponding ranking's methodology(code available in 02_tidy_and_prep/Scores Dataset Preparation.ipynb Jupyter notebook).