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Title: glueviz v0.4: multidimensional data exploration

Type Software Beaumont, Chris, Robitaille, Thomas, Borkin, Michelle, Goodman, Alyssa (2014): glueviz v0.4: multidimensional data exploration. Zenodo. Software. https://zenodo.org/record/13866

Authors: Beaumont, Chris ; Robitaille, Thomas (MPIA) ; Borkin, Michelle (Harvard University) ; Goodman, Alyssa (Harvard University) ;

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Summary

Glue is a Python library to explore relationships within and among related datasets. Its main features include:

Linked Statistical Graphics. With Glue, users can create scatter plots, histograms and images (2D and 3D) of their data. Glue is focused on the brushing and linking paradigm, where selections in any graph propagate to all others. Flexible linking across data. Glue uses the logical links that exist between different data sets to overlay visualizations of different data, and to propagate selections across data sets. These links are specified by the user, and are arbitrarily flexible. Full scripting capability. Glue is written in Python, and built on top of its standard scientific libraries (i.e., Numpy, Matplotlib, Scipy). Users can easily integrate their own python code for data input, cleaning, and analysis.

More information

  • DOI: 10.5281/zenodo.13866

Subjects

  • python, data, visualization, exploration

Dates

  • Publication date: 2014
  • Issued: December 22, 2014

Rights

Much of the data past this point we don't have good examples of yet. Please share in #rdi slack if you have good examples for anything that appears below. Thanks!

Format

electronic resource

Relateditems

DescriptionItem typeRelationshipUri
IsSupplementTohttps://github.com/glue-viz/glue
IsPartOfhttps://zenodo.org/communities/zenodo
IsPartOfhttps://zenodo.org/communities/scientific-python