Data Visualization with Bokeh in Python, Part II: Interactions
https://towardsdatascience.com/data-visualization-with-bokeh-in-python-part-ii-interactions-a4cf994e2512
In the first part of this series, we walked through creating a basic histogram in Bokeh, a powerful Python visualization library. The final result, which shows the distribution of arrival delays of flights departing New York City in 2013 is shown below (with a nice tooltip!):
This chart gets the job done, but it’s not very engaging! Viewers can see the distribution of flight delays is nearly normal (with a slight positive skew), but there’s no reason for them to spend more than a few seconds with the figure.
Data Visualization with Bokeh in Python, Part II: Interactions
Jul 7, 2018, 1:16pm UTC
https://towardsdatascience.com/data-visualization-with-bokeh-in-python-part-ii-interactions-a4cf994e2512
> In the first part of this series, we walked through creating a basic histogram in Bokeh, a powerful Python visualization library. The final result, which shows the distribution of arrival delays of flights departing New York City in 2013 is shown below (with a nice tooltip!):
> This chart gets the job done, but it’s not very engaging! Viewers can see the distribution of flight delays is nearly normal (with a slight positive skew), but there’s no reason for them to spend more than a few seconds with the figure.