WORLD UNIVERSITY RANKINGS

This project aims at exploring some data (cwurData.csv) containing information about world university rankings. The collection of this kind of data is usually aimed at providing a classification based on specific scores and requirements. Generally, university rankings are created not only to direct student decisions to what would better fit their expectations, but also to gain consensus and sponsors for the universities themselves.

Installation:

First install the R package devtools if not installed yet:

  devtools::install_github("unimi-dse/c1377f4b")

Usage:

Load the package:

  require(UniversityRanking)

Dataset description:

The dataset cwurData.csv contains 2200 obervations organised by 14 columns:

Variable	Description
world_rank	world rank for university
institution	name of university
country	country of each university
national_rank	rank of university within its country
quality_of_education	rank for quality of education
alumni_employment	rank for alumni employment
quality_of_faculty	rank for quality of faculty
publications	rank for publications
influence	rank for influence
citations	number of students at the university
broad_impact	rank for broad impact (only available for 2014 and 2015)
patents	rank for patents
score	total score, used for determining world rank
year	year of ranking (2012 to 2015)

Functions:

Once installed the needed packages (devtools, ggplot2, dplyr), it's possible to call the following functions to observe the data differently:

1. HeadData returns the first 6 observations contained in the dataset.

2. Rank_Countries shows the number of universities for each country.

3. TopUni plots the top desidered number of universities for a chosen year between 2012 and 2015. It is possible to choose up to 1024 institutions.