Name: World University Ranking
Creator: Kaggle
License: http://opendatacommons.org/licenses/dbcl/1.0/

About this Dataset

World University Ranking

Response variable: overall_score

Scenario
It is a difficult task to find an overall measure of quality for higher-education institutions, as there are many areas of work most universities worldwide involve themselves in, such as teaching, research, and knowledge exchange. Nevertheless, to decide on a way to predict the overall quality of an institution would be desirable for those who want to make an informed decision of whether to engage with a specific university, as a student, research collaborator or as industry partner.

This dataset contains records of many universities, offering data on performance metrics, student data and descriptive data. The goal is to forecast the value for the variable overall_score, by employing models suitable for regression problems. Find out what characteristics have the most influence on the general quality of institutions of higher learning.

Columns Description
name: Name of the university

scores_teaching: The teaching quality of the university, scored out of 100

scores_research: The research quality of the university, scored out of 100

scores_citations: Citation volume and of academics based at the university, scored out of 100

scores_international_outlok: The university’s level of engagement with international partners, scored out of 100
record_type: Category of the record

member_level: Level of membership

location: Country where the university is located

stats_number_students: The number of students enrolled at the university

stats_student_staff_ratio: Number of staff members per student
stats_pc_intl_students: The percentage of enrolled students that are classed as international

stats_female_male_ratio: The ration of female students versus male students

subjects_offered: The range of subject areas that are taught at the university

closed: Whether the university is currently closed to new
applicants

unaccredited: Whether the university is currently unaccredited

overall_score: The overall quality of the university, scored out of
100

Tables

N 2011–2015 Rankings

@kaggle.aritra100_world_university_ranking.n_2011_2015_rankings

127.69 KB
2603 rows
22 columns


CREATE TABLE n_2011_2015_rankings (
  "rank_order" DOUBLE,
  "rank" VARCHAR,
  "name" VARCHAR,
  "scores_overall" VARCHAR,
  "scores_overall_rank" DOUBLE,
  "scores_teaching" DOUBLE,
  "scores_teaching_rank" DOUBLE,
  "scores_international_outlook" VARCHAR,
  "scores_international_outlook_rank" DOUBLE,
  "scores_industry_income" VARCHAR,
  "scores_industry_income_rank" DOUBLE,
  "scores_research" DOUBLE,
  "scores_research_rank" DOUBLE,
  "scores_citations" DOUBLE,
  "scores_citations_rank" DOUBLE,
  "location" VARCHAR,
  "aliases" VARCHAR,
  "subjects_offered" VARCHAR,
  "closed" VARCHAR,
  "unaccredited" VARCHAR,
  "year" DOUBLE,
  "unnamed_21" VARCHAR
);

World University Rankings

@kaggle.aritra100_world_university_ranking.world_university_rankings

273.62 KB
2673 rows
17 columns


CREATE TABLE world_university_rankings (
  "name" VARCHAR,
  "scores_teaching" DOUBLE,
  "scores_research" DOUBLE,
  "scores_citations" DOUBLE,
  "scores_industry_income" DOUBLE,
  "scores_international_outlook" DOUBLE,
  "record_type" VARCHAR,
  "member_level" BIGINT,
  "location" VARCHAR,
  "stats_number_students" BIGINT,
  "stats_student_staff_ratio" DOUBLE,
  "stats_pc_intl_students" VARCHAR,
  "stats_female_male_ratio" VARCHAR,
  "subjects_offered" VARCHAR,
  "closed" BOOLEAN,
  "unaccredited" BOOLEAN,
  "overall_score" VARCHAR
);

Wur 2016 To 2025

@kaggle.aritra100_world_university_ranking.wur_2016_to_2025

423.13 KB
14522 rows
14 columns


CREATE TABLE wur_2016_to_2025 (
  "rank" DOUBLE,
  "name" VARCHAR,
  "country" VARCHAR,
  "student_population" DOUBLE,
  "students_to_staff_ratio" DOUBLE,
  "international_students" VARCHAR,
  "female_to_male_ratio" VARCHAR,
  "overall_score" DOUBLE,
  "teaching" DOUBLE,
  "research_environment" DOUBLE,
  "research_quality" DOUBLE,
  "industry_impact" DOUBLE,
  "international_outlook" DOUBLE,
  "year" BIGINT
);