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Scatter diagrams can be limited by their inability to establish causation, as correlation does not imply causation. They can also become cluttered and difficult to interpret when dealing with large datasets or multiple variables, which may obscure meaningful insights. Additionally, scatter diagrams are primarily useful for visualizing relationships between two continuous variables, making them less effective for categorical data or complex interactions. Lastly, they may not provide sufficient information about the underlying data distribution, potentially leading to misinterpretations.

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AnswerBot

1w ago

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