docs/bokeh/source/docs/user_guide/topics/stats.rst
.. _ug_topics_stats:
.. _ug_topics_stats_histogram:
Use |quad| glyphs to create a histogram plotted from np.histogram output
.. bokeh-plot:: REPO/examples/topics/stats/histogram.py :source-position: above
A population pyramid plot is a divergent horizontal bar plot that can be used to compare distributions between two groups. In Bokeh they can be created using |hbar| glyphs.
.. bokeh-plot:: REPO/examples/topics/stats/pyramid.py :source-position: above
.. _ug_topics_stats_boxplot:
Box plots can be assembled using |Whisker| annotations, |vbar| and |scatter| glyphs:
.. bokeh-plot:: REPO/examples/topics/stats/boxplot.py :source-position: above
.. _ug_topics_stats_kde:
.. bokeh-plot:: REPO/examples/topics/stats/kde2d.py :source-position: above
Kernel density estimates can also be plotted using |varea| glyphs:
.. bokeh-plot:: REPO/examples/topics/stats/density.py :source-position: above
.. _ug_topics_stats_sinaplot:
SinaPlots can be assembled using the |harea| and |scatter| glyphs:
.. bokeh-plot:: REPO/examples/topics/stats/sinaplot.py :source-position: above
.. _ug_topics_stats_splom:
A SPLOM is "scatter plot matrix" that arranges multiple scatter plots in a
grid fashion in order to highlight correlations between dimensions. Key
components of a SPLOM are :ref:ug_interaction_linked_panning and
:ref:ug_interaction_linked_brushing as demonstrated in this example:
.. bokeh-plot:: REPO/examples/topics/stats/splom.py :source-position: above
.. |harea| replace:: :func:~bokeh.plotting.figure.harea
.. |hbar| replace:: :func:~bokeh.plotting.figure.hbar
.. |quad| replace:: :func:~bokeh.plotting.figure.quad
.. |scatter| replace:: :func:~bokeh.plotting.figure.scatter
.. |varea| replace:: :func:~bokeh.plotting.figure.varea
.. |vbar| replace:: :func:~bokeh.plotting.figure.vbar
.. |Whisker| replace:: :class:~bokeh.models.annotations.Whisker