Data Analytics using Python Visualizations - Applying Filters - IndexFilter, BooleanFilter, GroupFilter

This video tutorial explores filtering concepts in Bokeh using the ColumnDataSource object. It introduces three types of filters: index, boolean, and group filters, and explains how to create views using these filters. Practical examples demonstrate how to apply each filter type to visualize data using circle plots. The tutorial also covers customizing tool buttons in Bokeh plots.

What is the significance of the 'source data' parameter when creating a view?

Summarize the process of creating a column data source object from a data frame.

How can custom conditions be created using the Boolean filter?

What is the role of categorical attributes in the group filter?