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

The video tutorial explains the concept of subplots, which are multiple plots within a single figure, and their advantages in visualizing different types of data simultaneously. It demonstrates how to create subplots using Python, perform random plotting, and plot images. The tutorial also covers visualizing face data using subplots, showcasing how to manipulate and customize plots for better data representation.

Describe how to plot random data on a grid of subplots.

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What is the role of the 'imshow' function in data visualization?

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How can you customize the appearance of subplots in a figure?

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What are the advantages of using a grid layout for multiple plots?

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