Histograms use binning to approximate data districutions and are a popular form of data reduction. A histogram for an attribute a partitions the data distribution of a into disjoint subsets or buckets.
The buckets are displayed on a horizontal axis while the height of a bucket typically reflects the average frequency of the values represented by the bucket. If each bucket represents only a single attribute value/frequency pair, the buckets are called singleton buckets. Often buckets instead represent continuous ranges for attribute.
The buckets are displayed on a horizontal axis while the height of a bucket typically reflects the average frequency of the values represented by the bucket. If each bucket represents only a single attribute value/frequency pair, the buckets are called singleton buckets. Often buckets instead represent continuous ranges for attribute.
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