Data distribution refers to the way in which values of a dataset are spread or organized across a range. Understanding how data is distributed helps in identifying patterns, trends, and anomalies within the data, which can be visually represented through various data visualization techniques such as histograms, box plots, and scatter plots. Each visualization technique highlights different aspects of the data distribution, making it easier to analyze and interpret the underlying information.
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