Login to your profile!



Not a member? sign up!

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 NameNNum. AttributesNum. MissingBinaryCategoricalContinuousSizeDownload
  ecoli3389022516 KB   Download
  iris152500144 KB   Download
  yeast14859013557 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={Bioinformatics data Collection - NetworkRepository},
      author={Ryan A. Rossi and Nesreen K. Ahmed},
      url={http://networkrepository.com/bioinfo.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.