By plotting multiple histograms on the same graph, you can easily see how the data in each dataset is distributed and compare their shapes, centers, and spreads. By examining a histogram, you can easily spot any bars that are much taller or shorter than the others, which may indicate the presence of outliers.Īnother use of histograms is to compare the distributions of two or more datasets. They can be caused by measurement errors, data entry errors, or other factors.
Outliers are data points that are significantly different from the rest of the data.
One important aspect of histograms is that they can help identify outliers in a dataset. Histograms are used to analyze and visualize the spread, skewness, and center of a dataset. The height of each bar represents how many data points fall within a specific bin. It displays the frequency of data in different intervals, or bins, plotted as bars.
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