Data Analytics using Python Visualizations - Working with Layouts - Row / Column / Grid

This video tutorial explores different layout options in Bouquet, including rows, columns, and custom grids. Through practical examples, it demonstrates how to create and arrange plots using sales data from three cities over several years. The tutorial covers creating row and column layouts, as well as a custom grid layout, providing foundational knowledge for working with Bouquet layouts.

What are the different layout possibilities provided by Bouquet?

Describe how to create a row-wise layout with three plots.

What types of plots are used in the examples provided?

What is the significance of the 'show' method in the context of plotting?

Explain the process of creating a column-wise layout in Bouquet.

How can you create a custom layout in Bouquet?

Discuss the importance of the grid plot method in creating layouts.