You need to visualize recommendation data across four variables: map two variables to the x and y axes, use color to encode a third variable, and use marker size to represent a fourth variable. Which visualization and tool will support these mappings?

A scatter plot is ideal for visualizing the relationship between two numerical variables (x and y axes). SageMaker Canvas's scatter plot specifically allows for encoding additional variables through visual attributes like point color and point size, directly addressing the requirement to map a third variable to color and a fourth to marker size. Incorrect options: SageMaker Data Wrangler's bar chart is best for comparing categorical data or showing distributions, not for four-variable relationships in this manner. Group By would segment, not encode with size and color for a continuous visualization. SageMaker Canvas's box plot is used to display the distribution of numerical data and compare distributions across categories; it doesn't support encoding two additional variables with color and fill pattern in the way described for a four-variable relationship. SageMaker Data Wrangler's histogram shows the distribution of a single numerical variable. While color can sometimes be used for a second variable, it doesn't support encoding a third and fourth variable with both color and fill pattern for this type of multi-variable analysis.