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

This video tutorial explores the use of Seaborn's cat plot function to create categorical scatter plots using the tips dataset. It covers setting plot styles, including color codes, and demonstrates how to create various plot types such as swarm, box, and violin plots. The tutorial also discusses the use of hues to differentiate data by categories like gender and concludes with an overview of creating bar charts. The video encourages viewers to explore different plot styles and kinds available in Seaborn.

What is the primary function discussed for creating categorical scatter plots in Seaborn?

• relplot

• catplot

• pairplot

• heatmap

Which parameter can be adjusted to remove the jitter effect in a Seaborn cat plot?

• kind

• hue

• jitter

• style

What does setting the 'hue' parameter in a Seaborn plot allow you to do?

• Change the plot style

• Differentiate data by categories

• Adjust the plot size

• Set the plot title

Which plot type is used to display the distribution of data across different categories in Seaborn?

• Histogram

• Box plot

• Scatter plot

• Line plot

Why is it important to save plots in Seaborn?

• To avoid data loss

• To reuse the plots in different projects

• To prevent overwriting existing plots

• To ensure plots are not updated repeatedly

What does a violin plot in Seaborn represent?

• The mean of the data

• The density of the data

• The median of the data

• The range of the data

Which plot type can be used to compare total bills across different days in a Seaborn plot?

• Scatter plot

• Heatmap

• Bar chart

• Pie chart