Visions
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*And these visions of data types, they kept us up past the dawn.*
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Visions
provides an extensible suite of tools to support common data analysis operations including
.. image:: https://github.com/dylan-profiler/visions/raw/develop/docsrc/source/_static/side-by-side.png
Full documentation can be found here <https://dylan-profiler.github.io/visions/>
_.
You can install visions
via pip:
.. code-block:: console
pip install visions
Alternatives and more details can be found in the documentation <https://dylan-profiler.github.io/visions/visions/getting_started/installation.html>
_.
These frameworks are supported out-of-the-box in addition to native Python types:
.. image:: https://github.com/dylan-profiler/visions/raw/develop/docsrc/source/_static/frameworks.png
Contributions to visions
are welcome.
For more information, please visit the Community contributions page <https://dylan-profiler.github.io/visions/visions/contributing/contributing.html>
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The the Github issues tracker <https://github.com/dylan-profiler/visions/issues/new/choose>
is used for reporting bugs, feature requests and support questions.
This package is part of the dylan-profiler <https://github.com/dylan-profiler>
_ project.
The package is core component of pandas-profiling <https://github.com/pandas-profiling/pandas-profiling>
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More information can be found here <https://dylan-profiler.github.io/visions/visions/background/about.html>
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This work was partially supported by SIDN Fonds <https://www.sidnfonds.nl/projecten/dylan-data-analysis-leveraging-automatisation>
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.. image:: https://github.com/dylan-profiler/visions/raw/master/SIDNfonds.png
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