Data Science and Machine Learning (Theory and Projects) A to Z - Matplotlib, Seaborn, and Bokeh for Data Visualization:

This video tutorial introduces Bokeh, a powerful library for creating interactive plots that open as HTML files in a web browser. It contrasts Bokeh with static plotting libraries like Seaborn and Matplotlib, highlighting its interactive features. The tutorial guides viewers through setting up Bokeh in Jupyter Notebook, creating basic plots, and exploring advanced interactive features. It also covers creating multiple plots, customizing them, and adding additional graphs, demonstrating Bokeh's flexibility and interactivity.

What is a key feature that distinguishes Bokeh from Seaborn and Matplotlib?

• Bokeh is only for 3D plotting.

• Bokeh provides static plots.

• Bokeh is a data analysis library.

• Bokeh offers interactive plots.

Which file format does Bokeh use to save plots for web viewing?

• .json

• .csv

• .html

• .png

What is the purpose of the 'show' function in Bokeh?

• To convert the plot to a 3D model.

• To display the plot in a web browser.

• To save the plot as an image.

• To export the plot to a PDF.

Which of the following is NOT an interactive feature of Bokeh plots?

• Zooming

• Panning

• 3D rotation

• Saving as an image

How can you change the width of a Bokeh plot?

• By changing the 'scale' property.

• By using the 'set_width' function.

• By adjusting the 'plot_width' attribute.

• By modifying the 'resize' method.

What does the 'P.line' function do in Bokeh?

• Generates a pie chart.

• Draws a line connecting data points.

• Creates a bar chart.

• Plots a histogram.

Which marker type is NOT mentioned in the video for Bokeh plots?

• Circle

• Square

• Triangle

• Hexagon

What happens when you increase the plot height in Bokeh?

• The plot becomes smaller.

• The plot becomes narrower.

• The plot becomes taller.

• The plot becomes wider.

What is the effect of adding a triangle graph with high magnitude to a Bokeh plot?

• It makes the plot unreadable.

• It automatically scales the plot.

• It hides other plot patterns.

• It enhances the plot's clarity.

What future topic is mentioned for the next video?

• Machine learning

• Grid plots

• Data analysis

• 3D plotting