Categorical Plots
Let’s learn about categorical data and their plotting options.
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).
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