In this video, we explore the advantages and disadvantages of two powerful plot types in Seaborn: the box plot and the violin plot.
Using Python, NumPy, and Seaborn, we’ll:
• 🔍 Compare visual output from normal and log-normal distributions
• 📈 Examine how sample size affects the accuracy and readability of each plot
• 💡 Highlight when to use a boxplot vs. a violin plot in real-world data analysis
By the end, you’ll have a solid understanding of how these plots differ, and how to apply them effectively in your own data science or research workflows.
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Seaborn Boxplot vs Violin plot Explained!: Python Data Visualization | NatokHD