.. note:: :class: sphx-glr-download-link-note Click :ref:`here ` to download the full example code .. rst-class:: sphx-glr-example-title .. _sphx_glr_auto_examples_plot_plot_adult.py: Adult Census Dataset Visualization ==================================== .. rst-class:: sphx-glr-horizontal * .. image:: /auto_examples/plot/images/sphx_glr_plot_adult_001.png :class: sphx-glr-multi-img * .. image:: /auto_examples/plot/images/sphx_glr_plot_adult_002.png :class: sphx-glr-multi-img * .. image:: /auto_examples/plot/images/sphx_glr_plot_adult_003.png :class: sphx-glr-multi-img * .. image:: /auto_examples/plot/images/sphx_glr_plot_adult_004.png :class: sphx-glr-multi-img * .. image:: /auto_examples/plot/images/sphx_glr_plot_adult_005.png :class: sphx-glr-multi-img .. rst-class:: sphx-glr-script-out Out: .. code-block:: none /home/circleci/project/dabl/plot/supervised.py:526: FutureWarning: The second positional argument of plot is a Series 'y'. If passing a column name, use a keyword. FutureWarning) /home/circleci/project/dabl/preprocessing.py:318: UserWarning: Discarding near-constant features: ['capital-loss'] near_constant.index[near_constant].tolist())) Target looks like classification Linear Discriminant Analysis training set score: 0.530 | .. code-block:: default # sphinx_gallery_thumbnail_number = 2 from dabl import plot from dabl.datasets import load_adult import matplotlib.pyplot as plt # load the adult census housing dataset # returns a plain dataframe data = load_adult() plot(data, 'income', scatter_alpha=.1) plt.show() .. rst-class:: sphx-glr-timing **Total running time of the script:** ( 0 minutes 4.214 seconds) .. _sphx_glr_download_auto_examples_plot_plot_adult.py: .. only :: html .. container:: sphx-glr-footer :class: sphx-glr-footer-example .. container:: sphx-glr-download :download:`Download Python source code: plot_adult.py ` .. container:: sphx-glr-download :download:`Download Jupyter notebook: plot_adult.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_