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How do you detect misleading graphs? - Answers

The most popular way misrepresenting data on graph is not starting with zero on the y axis (vertical axis). This can make very small differences look much greater than they are. For example a graph where the y axis starts at 2000 and goes to 2100 a small difference will look large on the graph. Another method is to miss data points on the x axis this is done to to show a trend that doesn't exist in reality. There is no real way of spotting data that is just made up of course except watch out for line graphs where the line exactly matches the data points. In the real world this hardly ever happens.



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How do you detect misleading graphs? - Answers

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

The most popular way misrepresenting data on graph is not starting with zero on the y axis (vertical axis). This can make very small differences look much greater than they are. For example a graph where the y axis starts at 2000 and goes to 2100 a small difference will look large on the graph. Another method is to miss data points on the x axis this is done to to show a trend that doesn't exist in reality. There is no real way of spotting data that is just made up of course except watch out for line graphs where the line exactly matches the data points. In the real world this hardly ever happens.



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

How do you detect misleading graphs? - Answers

The most popular way misrepresenting data on graph is not starting with zero on the y axis (vertical axis). This can make very small differences look much greater than they are. For example a graph where the y axis starts at 2000 and goes to 2100 a small difference will look large on the graph. Another method is to miss data points on the x axis this is done to to show a trend that doesn't exist in reality. There is no real way of spotting data that is just made up of course except watch out for line graphs where the line exactly matches the data points. In the real world this hardly ever happens.

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      The most popular way misrepresenting data on graph is not starting with zero on the y axis (vertical axis). This can make very small differences look much greater than they are. For example a graph where the y axis starts at 2000 and goes to 2100 a small difference will look large on the graph. Another method is to miss data points on the x axis this is done to to show a trend that doesn't exist in reality. There is no real way of spotting data that is just made up of course except watch out for line graphs where the line exactly matches the data points. In the real world this hardly ever happens.

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