HyperLogLog is a probabilistic data structure used for estimating the cardinality (the number of distinct elements) of a multiset (a collection of elements that may contain duplicates) in a space-efficient manner. It is particularly useful for applications that require approximate counts of unique items for large datasets. ### Key Features: 1. **Space Efficiency**: HyperLogLog uses significantly less memory compared to exact counting methods.
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