.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/plot_eda.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download_auto_examples_plot_eda.py>`
        to download the full example code.

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_plot_eda.py:


Exploratory analysis
====================

A first look at a dataset, all in one theme: distributions, categories,
correlations, cumulative distributions and a missing-data map.

.. GENERATED FROM PYTHON SOURCE LINES 8-14

.. code-block:: Python


    import depictr as dp

    wb = dp.wellbeing_survey()
    ld = dp.lexical_decision()








.. GENERATED FROM PYTHON SOURCE LINES 15-17

Empirical cumulative distribution by group, with the legend tucked into the
bottom-right the curves leave empty once they saturate.

.. GENERATED FROM PYTHON SOURCE LINES 17-20

.. code-block:: Python

    p = dp.ecdf_plot(ld, "RT", group="condition", legend_inside=True)
    p




.. image-sg:: /auto_examples/images/sphx_glr_plot_eda_001.png
   :alt: plot eda
   :srcset: /auto_examples/images/sphx_glr_plot_eda_001.png
   :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 21-22

A dodged categorical comparison.

.. GENERATED FROM PYTHON SOURCE LINES 22-25

.. code-block:: Python

    p = dp.explore_categorical(wb, "education", group="region")
    p




.. image-sg:: /auto_examples/images/sphx_glr_plot_eda_002.png
   :alt: plot eda
   :srcset: /auto_examples/images/sphx_glr_plot_eda_002.png
   :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 26-27

A correlation heatmap of the numeric columns.

.. GENERATED FROM PYTHON SOURCE LINES 27-30

.. code-block:: Python

    p = dp.correlation_heatmap(wb)
    p




.. image-sg:: /auto_examples/images/sphx_glr_plot_eda_003.png
   :alt: plot eda
   :srcset: /auto_examples/images/sphx_glr_plot_eda_003.png
   :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 31-32

A raincloud: density, box and raw points together.

.. GENERATED FROM PYTHON SOURCE LINES 32-35

.. code-block:: Python

    p = dp.raincloud_plot(ld, "RT", group="condition")
    p




.. image-sg:: /auto_examples/images/sphx_glr_plot_eda_004.png
   :alt: plot eda
   :srcset: /auto_examples/images/sphx_glr_plot_eda_004.png
   :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 36-38

A missing-data map; columns are ordered most- to least-missing, so the legend
sits inside the top-right over the most-complete columns.

.. GENERATED FROM PYTHON SOURCE LINES 38-40

.. code-block:: Python

    p = dp.missingness_map(wb, legend_inside=True)
    p



.. image-sg:: /auto_examples/images/sphx_glr_plot_eda_005.png
   :alt: plot eda
   :srcset: /auto_examples/images/sphx_glr_plot_eda_005.png
   :class: sphx-glr-single-img






.. rst-class:: sphx-glr-timing

   **Total running time of the script:** (0 minutes 0.931 seconds)


.. _sphx_glr_download_auto_examples_plot_eda.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: plot_eda.ipynb <plot_eda.ipynb>`

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: plot_eda.py <plot_eda.py>`

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: plot_eda.zip <plot_eda.zip>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_