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Bokeh Course: Section 2 Review

Interactive Data Visualization With Bokeh and Python Christopher Bailey 01:09

In this lesson you’ll get a quick overview of what you’ve learned in the last section of the course. This includes:

Where to find public datasets to use for your visualizations
Using data files including csv files
The ColumnDataSource Object
Using GroupFilter and CDSView
Multiple visualization layout with column() or row()
Using gridplot()
How to create a Tabbed Layout with the bokeh.models.widgets, using Tabs() and Panel()

00:00 Congratulations on completing Section 2. After an overview, you started a quick aside about data. This included a look at Kaggle—which is a great source of public datasets—and handling CSV files and importing them using pandas.

00:21 Then you learned about Bokeh’s ColumnDataSource object, and how it’s central to all the visualizations that you’ll make.

00:30 After using the ColumnDataSource object for a bit, you practiced using GroupFilter and CDSView to take a single DataFrame and dividing it into multiple figures and portions of your visualizations.

00:44 And speaking of multiple visualizations, you then practiced laying them out via a column layout or a row layout. Then you learned about creating a gridplot layout.

00:58 And next, how to create panels and a tabbed layout to switch between them. Now you’re ready for Section 3, which is all about adding interaction. That’s next.

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