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seaborn: statistical data visualization

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    Seaborn is a Python data visualization library based on `matplotlib
    <https://matplotlib.org>`_. It provides a high-level interface for drawing
    attractive and informative statistical graphics.

    For a brief introduction to the ideas behind the library, you can read the
    :doc:`introductory notes <tutorial/introduction>` or the `paper
    <https://joss.theoj.org/papers/10.21105/joss.03021>`_. Visit the
    :doc:`installation page <installing>` to see how you can download the package
    and get started with it. You can browse the :doc:`example gallery
    <examples/index>` to see some of the things that you can do with seaborn,
    and then check out the :doc:`tutorials <tutorial>` or :doc:`API reference <api>`
    to find out how.

    To see the code or report a bug, please visit the `GitHub repository
    <https://github.com/mwaskom/seaborn>`_. General support questions are most at home
    on `stackoverflow <https://stackoverflow.com/questions/tagged/seaborn/>`_, which
    has a dedicated channel for seaborn.

  .. grid-item-card:: Contents
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    .. toctree::
      :maxdepth: 1

      Installing <installing>
      Gallery <examples/index>
      Tutorial <tutorial>
      API <api>
      Releases <whatsnew/index>
      Citing <citing>
      FAQ <faq>

  .. grid-item-card:: Features
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    * :bdg-secondary:`New` Objects: :ref:`API <objects_api>` | :doc:`Tutorial <tutorial/objects_interface>`
    * Relational plots: :ref:`API <relational_api>` | :doc:`Tutorial <tutorial/relational>`
    * Distribution plots: :ref:`API <distribution_api>` | :doc:`Tutorial <tutorial/distributions>`
    * Categorical plots: :ref:`API <categorical_api>` | :doc:`Tutorial <tutorial/categorical>`
    * Regression plots: :ref:`API <regression_api>` | :doc:`Tutorial <tutorial/regression>`
    * Multi-plot grids: :ref:`API <grid_api>` | :doc:`Tutorial <tutorial/axis_grids>`
    * Figure theming: :ref:`API <style_api>` | :doc:`Tutorial <tutorial/aesthetics>`
    * Color palettes: :ref:`API <palette_api>` | :doc:`Tutorial <tutorial/color_palettes>`