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In the context of data analysis for a machine learning project, you are tasked with selecting the most effective visualization technique to showcase the distribution of a single continuous variable. The project has constraints including the need for quick interpretability by stakeholders with varying levels of technical expertise, and the visualization must be generated using a tool that supports scalability for large datasets. Considering these constraints, which of the following visualization techniques is the BEST choice? (Choose one correct option)
A
Line plot, as it clearly shows trends over time or sequences, making it easy for stakeholders to understand changes.
B
Scatter plot, because it effectively displays the relationship between two continuous variables, offering insights into correlations.
C
Histogram, as it organizes data into bins, providing a clear view of the distribution's shape, central tendency, and variability, which is crucial for understanding the data's underlying structure.
D
Bar chart, ideal for comparing categories or discrete data, offering a straightforward comparison between different groups.