Data Visualization: Building Interactive Visualizations with Bokeh
Bokeh 2.2.3
| Beginner
- 10 Videos | 1h 5m
- Includes Assessment
- Earns a Badge
An interactive visualization library, Bokeh allows users to create diverse graphics and highly interactive dashboards and data applications. In this course, you'll achieve a foundational knowledge of using Bokeh to build simple graphs and visualizations. You'll start by exploring how to install Bokeh on your local machine, display charts inline within your Jupyter notebooks, and create an interactive visualization. You'll then recognize how to save Bokeh charts as HTML and PNG files. Next, you'll investigate how to visualize categorical data using bar charts, stacked bar charts, and clustered bar charts. You'll also identify how to implement pie charts and donut charts to represent compositions in your data. You'll finish the course by examining the ease of interactivity and granular customizations that Bokeh offers.
WHAT YOU WILL LEARN
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discover the key concepts covered in this courseuse Jupyter notebooks to install and import Bokehcreate a Bokeh chart and save it in PNG and HTML formatsdisplay your visualization inline in a Jupyter notebookvisualize data using a bar chart
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visualize data using a stacked bar chartrepresent data using a clustered bar chartvisualize proportions in data using pie chartsvisualize proportions in data using donut chartssummarize the key concepts covered in this course
IN THIS COURSE
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1.Course Overview1m 54sUP NEXT
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2.Installing Bokeh5m 43s
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3.Saving Bokeh Charts as PNG and HTML Files8m 22s
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4.Displaying Bokeh Charts Inline in Jupyter Notebooks9m 15s
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5.Creating Bar Charts in Bokeh6m 15s
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6.Creating Stacked Bar Charts in Bokeh9m 27s
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7.Implementing Bokeh Clustered Bar Charts3m 58s
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8.Visualizing Data in Bokeh Using Pie Charts10m 22s
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9.Creating Donut Charts in Bokeh6m 50s
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10.Course Summary2m 55s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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