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In the context of machine learning, you are tasked with visualizing the distribution of a dataset across various categories to identify potential outliers and understand the underlying probability density. The dataset contains numerical data with several categories, and you aim to provide a comprehensive overview that includes median, quartiles, and density information. Which of the following plots would be the most effective for this purpose? Choose one correct option.
Explanation:
Correct Option: C. Violin plot
A violin plot is the most effective for this task because it combines the features of a box plot and a kernel density plot. It not only highlights the median, quartiles, and potential outliers (like a box plot) but also shows the data's probability density function (like a kernel density plot), providing a comprehensive overview of the data distribution across various categories.
Why other options are not the best choice: