
Ultimate access to all questions.
In a machine learning project, you are tasked with visualizing the distribution of a dataset across various categories to identify potential biases or imbalances. The dataset includes numerical data with several categories, and you need a visualization that not only shows the median and quartiles but also the probability density of the data within each category. Considering the need for detailed insights into data distribution, which of the following visualization types would be the MOST effective for this purpose? Choose one correct option.
A
Line plot, which is optimal for displaying trends over time or continuous data sequences.
B
Box plot, which provides a summary of the distribution through quartiles and identifies outliers but lacks detailed density information.
C
Scatter plot, which is best for examining the relationship between two continuous variables.
D
Violin plot, which combines the features of a box plot with a kernel density plot to offer a comprehensive view of the data distribution across categories.