Interactive Data Visualization with Bokeh
Learn how to create versatile and interactive data visualizations using Bokeh.
- 4 hours
- 17 Videos
- 63 Exercises
- 28,803 Participants
- 5,100 XP
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Course Description
Bokeh is an interactive data visualization library for Python (and other languages!) that targets modern web browsers for presentation. It can create versatile, data-driven graphics, and connect the full power of the entire Python data-science stack to rich, interactive visualizations.
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1
Basic plotting with Bokeh
FreeAn introduction to basic plotting with Bokeh. You will create your first plots, learn about different data formats Bokeh understands, and make visual customizations for selections and mouse hovering.
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Building interactive apps with Bokeh
Bokeh server applications let you connect all of the powerful Python libraries for analytics and data science, such as NumPy and Pandas, to rich interactive Bokeh visualizations. Learn about Bokeh's built-in widgets, how to add them to Bokeh documents alongside plots, and how to connect everything to real python code using the Bokeh server.
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Layouts, Interactions, and Annotations
Learn how to combine mutiple Bokeh plots into different kinds of layouts on a page, how to easily link different plots together in various ways, and how to add annotations such as legends and hover tooltips.
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Putting It All Together! A Case Study
In this final chapter, you'll build a more sophisticated Bokeh data exploration application from the ground up, based on the famous Gapminder data set.
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1
Basic plotting with Bokeh
FreeAn introduction to basic plotting with Bokeh. You will create your first plots, learn about different data formats Bokeh understands, and make visual customizations for selections and mouse hovering.
-
Layouts, Interactions, and Annotations
Learn how to combine mutiple Bokeh plots into different kinds of layouts on a page, how to easily link different plots together in various ways, and how to add annotations such as legends and hover tooltips.
-
Building interactive apps with Bokeh
Bokeh server applications let you connect all of the powerful Python libraries for analytics and data science, such as NumPy and Pandas, to rich interactive Bokeh visualizations. Learn about Bokeh's built-in widgets, how to add them to Bokeh documents alongside plots, and how to connect everything to real python code using the Bokeh server.
-
Putting It All Together! A Case Study
In this final chapter, you'll build a more sophisticated Bokeh data exploration application from the ground up, based on the famous Gapminder data set.
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Course Instructor
Tracks
Collaborators
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Yashas Roy
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Hugo Bowne-Anderson