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Algorithms that use map-based counting to analyze the distribution and frequency of elements in a dataset.
Distinct from Unique Value Counting: Focuses on the technique of tracking frequencies for problem solving rather than just counting unique values.
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This project is a Go algorithm implementation library and a reference for data structures. It serves as a collection of solved coding interview problems and an algorithmic pattern collection, providing a reference of over 100 common challenges implemented in Go. The library focuses on specific problem-solving strategies, including sliding windows, two pointers, and dynamic programming. It provides coded examples of standard sorting, searching, and graph traversal techniques to facilitate the study of algorithmic patterns. The repository covers a broad range of capabilities, including array a
Maps unique keys to their occurrence counts to identify anagrams, unique integers, or value distributions.