Categorical Plots

Seaborn provides a range of options to plot categorical data. Seaborn divides categorical plots into three groups:

Categorical scatter plots: These show each observation at each level of the categorical variable. They include the following:

• stripplot()
• swarmplot()

Categorical distribution plots: These apply a statistical estimation to show a measure of central tendency and confidence interval. They include the following:

• boxplot()
• violinplot()
• boxenplot()

Categorical estimate plots: Apply a statistical estimation to show a measure of central tendency and confidence interval.

• barplot()
• countplot()
• pointplot()

Along with the types of categorical plots mentioned above, we’ll also discuss a different kind of plot— catplot() (previously known as factorplot).