University
Donated on 6/30/1988
Data in original (LISP-readable) form
Dataset Characteristics
Multivariate
Subject Area
Other
Associated Tasks
Classification
Feature Type
Categorical, Integer
# Instances
285
# Features
17
Dataset Information
Additional Information
Format: Each observation concerns one university. In some cases, more information is provided about the attribute (e.g., units or domain). Some duplicates may exist and a single observation may have more than one value for a given attribute (esp. academic emphasis). It appears that several attributes could serve as a distinguished class attribute for this database. The data file remains in the state as given to us by Steve Souders. It is a LISP readable file with a few relevant functions at the end of the data file. The info on missing data values have not been calculated. We hope to get to this in the future.
Has Missing Values?
Yes
Variable Information
1. University-name 2. State 3. location 4. Control 5. number-of-students 6. male:female (ratio) 7. student:faculty (ratio) 8. sat-verbal 9. sat-math 10. expenses 11. percent-financial-aid 12. number-of-applicants 13. percent-admittance 14. percent-enrolled 15. academics 16. social 17. quality-of-life 18. academic-emphasis
Dataset Files
| File | Size |
|---|---|
| university.data | 156.7 KB |
| university.names | 1.6 KB |
| Index | 123 Bytes |
Papers Citing this Dataset
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By Kristian Miok, Dong Nguyen-Doan, Daniela Zaharie, Marko Robnik-vSikonja. 2019
Published in ArXiv.
By Abeegithan Jeyasothy, Savitha Ramasamy, Suresh Sundaram. 2019
Published in ArXiv.
By L Kazakovtsev, Dmitry Stashkov, Mikhail Gudyma, Vladimir Kazakovtsev. 2019
Published in YUJOR.
By Saptarshi Chakraborty, Swagatam Das. 2019
Published in ArXiv.
By Cl'audio S'a, Paulo Azevedo, Carlos Soares, Al'ipio Jorge, Arno Knobbe. 2019
Published in Information Fusion, Volume 40, March 2018, Pages 112-125.
0 to 5 of 174
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset university = fetch_ucirepo(id=104) # data (as pandas dataframes) X = university.data.features y = university.data.targets # metadata print(university.metadata) # variable information print(university.variables)
Lebowitz, M. (1987). University [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5WW32.
Creators
M. Lebowitz
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.