Categorical Plots with Seaborn

Seaborn excels at visualizing categorical data. It provides functions that automatically handle grouping, coloring, and statistical computations.

Count Plots

Show the frequency of categorical values:

Bar Plots with Statistics

Seaborn's barplot automatically computes mean and confidence intervals:

Strip and Swarm Plots

Show individual data points:

Box and Violin Plots

Point Plots

Show point estimates with confidence intervals:

Combining Categorical Plots

Practice: Categorical Comparison

Key Takeaways

• countplot shows frequency of categorical values
• barplot shows means with confidence intervals
• stripplot and swarmplot show individual data points
• boxplot summarizes distribution with quartiles and outliers
• violinplot shows full distribution shape
• pointplot is good for showing trends across categories
• Combine plot types (e.g., box + strip) for richer visualization
• Use hue parameter to add another categorical dimension

In the next module, we'll explore statistical visualizations in more depth.