Educational data

Multi-level Data Visualization: From Global to Local Data Properties

Select a data set below for a multi-level data visualization that leverages both local and global data properties, as well as additional features and tools including:

interactive data visualizations,
global data statistics,
local data stats & features, and
interactive visualizations of the important data distributions.

Note: Data may also be sorted by the statistics.

Data Name	N	Num. Attributes	Binary	Categorical	Size	Download
student mat	397	33	13	20	68 KB	Download
student por	651	33	13	20	91 KB	Download
turkiye student evaluation R Specific	5821	34	0	34	416 KB	Download
turkiye student evaluation generic	5821	33	0	33	377 KB	Download

Acknowledgement & Citation Policy

Please acknowledge the repository in published materials

If you publish material based on data obtained from this repository, then, in your acknowledgements, please note the assistance you received by using this repository.

Please use the following BiBTeX reference:

@misc{nr:, title={Educational data Collection - NetworkRepository}, author={Ryan A. Rossi and Nesreen K. Ahmed}, url={http://networkrepository.com/education.php}, year={2013} }

@inproceedings{nr, title={The Network Data Repository with Interactive Graph Analytics and Visualization}, author={Ryan A. Rossi and Nesreen K. Ahmed}, booktitle={Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence}, url={http://networkrepository.com}, year={2015} }

A few of the datasets have additional citation requests; these can be found at the bottom of each dataset page.
Note that if you transform/preprocess any data obtained from NetworkRepository for your own research, we ask that you please share the data by uploading it along with details on the transformation and reference to any published materials.

Discuss and Share

Collaborate and contribute to the first interactive and community-oriented data repository!

Share key insights, awesome visualizations, or simply discuss advantages of data, any observed or known properties, challenges, problems, corrections, and any other helpful comments! Post and discuss recent published works that utilize this dataset (including your own). Any and all feedback is welcome and encouraged.

About

This project aims to dramatically increase the discovery of new scientific knowledge by enabling and providing researchers with open, persistent, robust, and accessible data along with the tools to easily understand and explore the data through the innovative combination of state-of-the-art statistical methods with interactive visualization and analytic techniques for real-time exploration and insight discovery on the web. The interactive data repository with visual analytics facilitates the discovery of scientific knowledge by providing state-of-the-art interactive data mining, visualization, and exploration capabilities to enhance the efficiency of research and aid decision making.

Data Repository Stats

4	Data collections
220	Data sets
0	Temporal data sets
0	Spatial data sets

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