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Scatter plots are effective for visualizing the relationship between two variables, allowing for the identification of correlations, trends, and outliers. They provide a clear representation of data distribution and can highlight patterns that may not be evident in other formats. However, scatter plots can become cluttered with large datasets, making them difficult to interpret, and they do not convey information about causality. Additionally, they may require careful scaling and labeling to avoid misinterpretation.
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