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Global University Rankings and Enrolment Metrics
Education & Learning Analytics
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About
Vital data detailing the top 1000 international universities based on the Shanghai World University Rankings for 2023. This resource is pivotal for constructing sophisticated recommendation systems that factor in diverse attributes, including academic rankings, country and regional affiliation, and detailed enrolment figures for both local and international students. Furthermore, the dataset includes essential characteristics necessary for the development of web applications, ensuring broad functionality.
Columns
The dataset includes 19 columns providing detailed information on each institution:
- Rank: The academic ranking allotted to the university (often presented as a range, e.g., 201-300).
- Name: The full name of the university (1000 unique values).
- Logo: A URL linking to the university's logo image.
- Link: A link providing detailed resources related to the university.
- Website: The university’s official website URL.
- Flag: A URL linking to the image of the country's flag.
- Country: The country in which the university is situated (the United States and China are common examples).
- Region: The geographic region of the university (Asia and Europe are the most represented regions).
- Foundation_year: The year the university was established.
- Address: The physical address of the university (approximately 14% of records are missing this data).
- Intro: A brief introductory description of the university (about 41% of records are missing this information).
- Total_Enrollment: The total number of students enrolled.
- Total_International_Enrollment: The percentage of international students within the total enrolment.
- UG_Enrollment: The total number of undergraduate students enrolled.
- International_UG_Enrollment: The percentage of international undergraduate students enrolled.
- PG_Enrollment: The total number of postgraduate students enrolled.
- International_PG_Enrollment: The percentage of international postgraduate students enrolled.
- latitude: The latitude coordinate of the university location (8% missing).
- longitude: The longitude coordinate of the university location (8% missing).
Distribution
The dataset is provided as a CSV file, named
shanghai-ranking_2023.csv, with a file size of 1.95 MB. It contains 19 attributes and consists of 1000 valid records or rows.Usage
Ideal applications for this data include:
- Building recommender systems focused on tertiary education, allowing users to filter based on ranking, location, and student diversity.
- Performing data analytics to understand global education trends and university metrics.
- Creating dynamic web applications that require current, structured university ranking information.
Coverage
The data covers the top 1000 international universities as ranked in 2023. The geographic scope is global, spanning institutions across all regions, with notable representation from countries like China and the United States. The temporal scope is fixed to the 2023 academic ranking period.
License
CC0: Public Domain
Who Can Use It
The resource is beneficial for:
- Developers: Those creating educational technology platforms or recommender tools.
- Data Scientists: Individuals conducting large-scale educational research or statistical modelling.
- Researchers: Academics studying institutional ranking methodologies and international enrolment patterns.
Dataset Name Suggestions
- Shanghai Academic World University Ranking 2023 Data
- Global University Rankings and Enrolment Metrics
- Top 1000 International Universities 2023
Attributes
Original Data Source: Global University Rankings and Enrolment Metrics
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