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

The video tutorial explains how to create and customize scatter plots using Matplotlib and Seaborn. It covers generating random data, setting different colors and sizes for data points, and using alpha blending and color maps. The tutorial also demonstrates using real data from the Iris dataset to create scatter plots, highlighting the use of Seaborn for enhanced data visualization.

What is the purpose of using different markers in a scatter plot?

What function in Matplotlib is used to create a scatter plot?

How can you represent different colors for different data points in a scatter plot?

What are the steps to generate random data for a scatter plot?

Explain how to set different sizes for markers in a scatter plot.

What is the role of the 'c' parameter in the PLT scatter function?

What is the significance of the alpha blending parameter in a scatter plot?

Describe how to specify a color map in a scatter plot.

How can you add a color bar to a scatter plot and what does it represent?

How can you customize the labels and title of a scatter plot?