Frequency Counting
Frequency counting refers to tallying the number of occurrences of each value in a dataset. This allows analyzing the distribution of values.
Java example:


C++ example:


Python example:


The general approach is:
 Initialize a frequency map
 Iterate through array, incrementing map counts
 Return final map
Frequency counting provides insights into data distribution and is useful for statistics, data analysis, and machine learning.
Frequency Counting is a commonly used technique to track the occurrence of elements within a collection, such as an array or a list. It’s often used in algorithms to analyze the distribution of elements and helps in solving problems related to counting, such as finding the most frequent element, determining if two strings are anagrams, etc.
The core idea is to use a data structure like a hash table, where keys are the unique elements from the collection, and the values are the counts of occurrences of those elements. By iterating through the collection and incrementing the count for each element in the hash table, we can efficiently obtain the frequency of each element.
Solution
Java Code


C++ Code


Python Code


These code snippets demonstrate how to use a hash table to count the frequency of elements in an array. By using this approach, you can analyze the distribution of elements and use this information to solve various problems related to counting. The time complexity of this operation is (O(n)), where (n) is the number of elements in the array, making it an efficient way to perform counting operations.