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World University Ranking

✓ Published0🌍 Public
CChen Ding
Last edited Sep 5, 2019
Created on Sep 5, 2019

This example loads and parses a CSV dataset of the 2015 CWUR World University Ranking, displaying basic file statistics such as size, row count, and column count in a large HTML `<pre>` element. It shows the dataset’s shape and attributes, including institution, country, and multiple quantitative ranking factors. The code uses D3 v5’s `d3.csv` and `d3.csvFormat` to fetch and measure the data from a GitHub gist. It also demonstrates an alternative async/await approach with the Fetch API and `d3.csvParse`.

AI-generated description

A program that loads and parses some CSV data.

The dataset is about the world university ranking in 2015 published by CWUR.

Questions:

What is the highest ranking university? Which country has the most ranking universities among the top 1000 university list? What factors would contribute to high ranking universities? Attributes:

world_rank: quantitative institution: categorical country: categorical national_rank: quantitative quality_of_education: quantitative alumni_employment: quantitative quality_of_faculty: quantitative publications: quantitative influence: quantitative citations: quantitative broad_impact: quantitative patents: quantitative score: quantitative year: quantitative Sources: Kaggle

https://gist.github.com/chen-ding-71/483acd8062a6b9362495913b35f1662e

MIT Licensed

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