Categorical Plots

Lesson in the Python for Data Analysis Roadmap · Stage 12: Seaborn

Last updated 14 September 2026

What is Categorical Plots?

Seaborn's categorical plots visualize the relationship between a numeric variable and one or more categorical variables. sns.boxplot(), sns.violinplot(), sns.barplot(), sns.stripplot(), and sns.countplot() cover the main patterns. They are used to compare distributions or averages across groups.

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Free resources to learn Categorical Plots

Official docsVisualizing categorical data

Categorical Plots: common questions

Can I learn Categorical Plots in Hindi?

This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Categorical Plots in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.

Is this Categorical Plots tutorial for beginners?

It is lesson 87 of 112 in the free Python for Data Analysis roadmap, in stage 12, Seaborn. If you are new to Python for Data Analysis, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.