An ML engineer needs to examine the distribution of car prices for a specific car type in a dataset with attributes like brand, type, fuel efficiency, and price using SageMaker Data Wrangler. Which visualization is most appropriate to inspect the range and distribution of prices for that car type?

A histogram is the most appropriate visualization because it effectively displays the distribution and frequency of a single numerical variable, such as car price. It groups data into bins and shows how many data points fall into each bin, directly illustrating the range, central tendency, and spread of prices for the specified car type. A scatter plot is used to show the relationship between two numerical variables, not the distribution of one. Quick model visualization is for feature importance and model evaluation, not for exploring raw data distributions. Anomaly detection visualization identifies outliers, which is a different objective than understanding the overall distribution and range.