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Histograms are extremely powerful graphs that are used to describe quantitative data graphically. Since the shape of a histogram is determined by the frequency distribution table of the given set of data, the first step in constructing a histogram is to create a frequency distribution table. This means that a histogram is not uniquely defined until the classes or bins are defined for a given set of data. However, a carefully constructed histogram can be very informative.

For instance, a histogram provides information about the patterns, location/center, and dispersion of the data. This information is not usually apparent from raw data. We may define a histogram as follows: