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https://math.answers.com/math-and-arithmetic/How_does_changing_the_vertical_scale_change_the_appearance_of_the_data

How does changing the vertical scale change the appearance of the data? - Answers

Changing the vertical scale in a graph alters the way data is visually represented, affecting the perception of trends and relationships within the data. A compressed scale can exaggerate small differences, making trends appear more pronounced, while an expanded scale can diminish these differences, potentially masking important variations. Consequently, the choice of vertical scale can significantly influence interpretation and insights drawn from the data.



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How does changing the vertical scale change the appearance of the data? - Answers

https://math.answers.com/math-and-arithmetic/How_does_changing_the_vertical_scale_change_the_appearance_of_the_data

Changing the vertical scale in a graph alters the way data is visually represented, affecting the perception of trends and relationships within the data. A compressed scale can exaggerate small differences, making trends appear more pronounced, while an expanded scale can diminish these differences, potentially masking important variations. Consequently, the choice of vertical scale can significantly influence interpretation and insights drawn from the data.



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https://math.answers.com/math-and-arithmetic/How_does_changing_the_vertical_scale_change_the_appearance_of_the_data

How does changing the vertical scale change the appearance of the data? - Answers

Changing the vertical scale in a graph alters the way data is visually represented, affecting the perception of trends and relationships within the data. A compressed scale can exaggerate small differences, making trends appear more pronounced, while an expanded scale can diminish these differences, potentially masking important variations. Consequently, the choice of vertical scale can significantly influence interpretation and insights drawn from the data.

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      Changing the vertical scale in a graph alters the way data is visually represented, affecting the perception of trends and relationships within the data. A compressed scale can exaggerate small differences, making trends appear more pronounced, while an expanded scale can diminish these differences, potentially masking important variations. Consequently, the choice of vertical scale can significantly influence interpretation and insights drawn from the data.

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