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Data visualization with bokeh python11/11/2023 ![]() ![]() Widgets can also be used without the Bokeh server in standalone HTML documents through the browser’s Javascript runtime. When used with the Bokeh server, widgets can run arbitrary Python code, enabling complex applications. They can drive new computations, update plots, and connect to other programmatic functionality. Widgets are interactive controls that can be added to Bokeh applications to provide a front end user interface to a visualization. ![]() Mike Bostock has recreated the visualization using D3.js, and in this lab, we will see that it is also possible to use Bokeh to recreate the interactive visualization in Python. Rosling's interactive "Health and Wealth of Nations" visualization has since become an iconic illustration of how our assumptions about ‘first world’ and ‘third world’ countries can betray us. He presented the surprising results from his so-called “Chimpanzee Test” in his first TED-talk in 2006. Having encountered broad ignorance about the rapid health improvement in Asia, he wanted to measure that lack of awareness among students and professors. Gapminder started as a spin-off from Professor Hans Rosling’s teaching at the Karolinska Institute in Stockholm. Recreating Gapminder's "The Health and Wealth of Nations" The following notebook is intended to illustrate some of Bokeh's interactive utilities and is based on a post by software engineer and Bokeh developer Sarah Bird. A complete API reference of Bokeh is at Reference Guide.To see examples of how you might use Bokeh with your own data, check out the Gallery.To get started using Bokeh to make your visualizations, see the User Guide.Bokeh can help anyone who would like to quickly and easily create interactive plots, dashboards, and data applications. Its goal is to provide elegant, concise construction of novel graphics in the style of D3.js, and to extend this capability with high-performance interactivity over very large or streaming datasets. Interactive Data Visualization with Bokehīokeh is an interactive Python library for visualizations that targets modern web browsers for presentation. ![]()
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