Conditional Multiple Plots
Explore how to build conditional multiple plots with Seaborn's FacetGrid to visualize relationships across categorical variables. Understand how to create, customize, and style multiplot grids using functions like relplot, displot, catplot, and lmplot for deeper data analysis.
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Overview
Conditional multiple plots imply the construction of multiple plots in parallel, where the plotting is based on one or more conditions. We can draw conditional multiple plots using the seaborn library’s FacetGrid class. It allows us to compare and visualize relationships among data variables along different subsets of the data. There are four seaborn plots, namely relplot(), displot(), catplot(), and lmplot. These plots, along with their individual visualization properties, also provide faceting options because they’re built on top of seaborn’s FacetGrid ...