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

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

Assessment

Interactive Video

Information Technology (IT), Architecture, Mathematics

University

Hard

Created by

Quizizz Content

FREE Resource

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.

Read more

4 questions

Show all answers

1.

OPEN ENDED QUESTION

3 mins • 1 pt

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

Evaluate responses using AI:

OFF

2.

OPEN ENDED QUESTION

3 mins • 1 pt

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

Evaluate responses using AI:

OFF

3.

OPEN ENDED QUESTION

3 mins • 1 pt

How can custom conditions be created using the Boolean filter?

Evaluate responses using AI:

OFF

4.

OPEN ENDED QUESTION

3 mins • 1 pt

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

Evaluate responses using AI:

OFF