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Histograms are effective for visualizing the distribution of continuous data, making it easy to identify patterns, trends, and outliers. They provide a clear representation of data frequency across intervals, aiding in data analysis and interpretation. However, a significant demerit is that they can be sensitive to bin width and boundaries, which can distort the data representation. Additionally, histograms do not convey specific information about the individual data points, potentially overlooking nuances within the dataset.
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