Data Analytics using Python Visualizations - Seaborn Boxplot, Violin plot, Categorical Scatterplot

The video tutorial covers three types of data visualization techniques: boxplots, violin plots, and scatter plots. It explains how each method visualizes data distribution, using the Gapminder dataset as an example. Boxplots show quartiles and outliers, violin plots depict data density, and scatter plots illustrate data points with optional jitter for clarity. The tutorial emphasizes understanding these visualizations to analyze data distributions effectively.

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