<jupyter_start><jupyter_text>URL: http://bokeh.pydata.org/en/latest/docs/gallery/boxplot_chart.htmlMost examples work across multiple plotting backends, this example is also available for:* [Bokeh - boxplot_chart](../bokeh/boxplot_chart.ipynb)<jupyter_code>import numpy as np
import holoviews as hv
hv.extension('matplotlib')
%output fig='svg'<jupyter_output><empty_output><jupyter_text>Declaring data<jupyter_code>from bokeh.sampledata.autompg import autompg as df

title = "MPG by Cylinders and Data Source, Colored by Cylinders"
boxwhisker = hv.BoxWhisker(df, ['cyl', 'origin'], 'mpg', label=title)<jupyter_output><empty_output><jupyter_text>Plot<jupyter_code>plot_opts = dict(bgcolor='white', aspect=2, fig_size=200)
boxwhisker(plot=plot_opts)<jupyter_output><empty_output>
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