Count frequency of digit K in given Array Last Updated : 07 Dec, 2021 Summarize Comments Improve Suggest changes Share Like Article Like Report Try it on GfG Practice Given an array arr[] of integers of size N and a single digit integer K. The task is to find the total count of occurrences of the digit K in the array Examples: Input: arr[] = {15, 66, 26, 91}, K = 6Output: 3Explanation: Occurrences of 6 in each array elements are: 0, 2, 1, 0 respectively.Therefore, total occurrences = 0 + 2 + 1 + 0 = 3 Input: arr[] = {20, 21, 0}, K = 0Output: 2 Approach: The idea is to traverse the array and for every individual array element, count the occurrences of the digit K in it and update the total count. Follow the steps below to solve the problem: Initialize the total occurrences of digit K, say count, as 0.Traverse the given array from the start element till the end.For every traversed element, find the frequency of digit K in that element.Add the count to the total sum.Return the total sum as answer. Below is the implementation of the above approach: C++ // C++ code to count frequency // of digit K in given Array #include <bits/stdc++.h> using namespace std; // Function to count occurrences // in an element int countOccurrences(int num, int K) { // If num is 0 if (K == 0 && num == 0) return 1; // Initialize count int count = 0; // Count for occurrences of digit K while (num > 0) { if (num % 10 == K) count++; num /= 10; } return count; } // Function to return sum of // total occurrences of digit K int totalOccurrences(int arr[], int N, int K) { // Initialize sum int sum = 0; // Traverse the array for (int i = 0; i < N; i++) { sum += countOccurrences(arr[i], K); } return sum; } // Driver Code int main() { int arr[] = { 15, 66, 26, 91 }; int K = 6; int N = sizeof(arr) / sizeof(arr[0]); cout << totalOccurrences(arr, N, K); return 0; } Java // Java program for the above approach import java.io.*; class GFG { // Function to count occurrences // in an element static int countOccurrences(int num, int K) { // If num is 0 if (K == 0 && num == 0) return 1; // Initialize count int count = 0; // Count for occurrences of digit K while (num > 0) { if (num % 10 == K) count++; num /= 10; } return count; } // Function to return sum of // total occurrences of digit K static int totalOccurrences(int arr[], int N, int K) { // Initialize sum int sum = 0; // Traverse the array for (int i = 0; i < N; i++) { sum += countOccurrences(arr[i], K); } return sum; } // Driver Code public static void main (String[] args) { int arr[] = { 15, 66, 26, 91 }; int K = 6; int N = arr.length; System.out.println( totalOccurrences(arr, N, K)); } } // This code is contributed by Potta Lokesh Python3 # Python3 code to count frequency # of digit K in given array # Function to count occurrences # in an element def countOccurrences(num, K): # If num is 0 if (K == 0 and num == 0): return 1 # Initialize count count = 0 # Count for occurrences of digit K while (num > 0): if (num % 10 == K): count += 1 num = (num // 10) return count # Function to return sum of # total occurrences of digit K def totalOccurrences(arr, N, K): # Initialize sum sum = 0 # Traverse the array for i in range(N): sum += countOccurrences(arr[i], K) return sum # Driver Code arr = [ 15, 66, 26, 91 ] K = 6 N = len(arr) print(totalOccurrences(arr, N, K)) # This code is contributed by saurabh_jaiswal. C# // C# program for the above approach using System; class GFG { // Function to count occurrences // in an element static int countOccurrences(int num, int K) { // If num is 0 if (K == 0 && num == 0) return 1; // Initialize count int count = 0; // Count for occurrences of digit K while (num > 0) { if (num % 10 == K) count++; num /= 10; } return count; } // Function to return sum of // total occurrences of digit K static int totalOccurrences(int []arr, int N, int K) { // Initialize sum int sum = 0; // Traverse the array for (int i = 0; i < N; i++) { sum += countOccurrences(arr[i], K); } return sum; } // Driver Code public static void Main () { int []arr = { 15, 66, 26, 91 }; int K = 6; int N = arr.Length; Console.Write( totalOccurrences(arr, N, K)); } } // This code is contributed by Samim Hossain Mondal. JavaScript <script> // Javascript code to count frequency // of digit K in given Array // Function to count occurrences // in an element function countOccurrences(num, K) { // If num is 0 if (K == 0 && num == 0) return 1; // Initialize count let count = 0; // Count for occurrences of digit K while (num > 0) { if (num % 10 == K) count++; num = Math.floor(num / 10); } return count; } // Function to return sum of // total occurrences of digit K function totalOccurrences(arr, N, K) { // Initialize sum let sum = 0; // Traverse the array for (let i = 0; i < N; i++) { sum += countOccurrences(arr[i], K); } return sum; } // Driver Code let arr = [15, 66, 26, 91]; let K = 6; let N = arr.length document.write(totalOccurrences(arr, N, K)); // This code is contributed by saurabh_jaiswal. </script> Output3 Time Complexity: O(N*D) where D is the maximum number of digit in an array elementAuxiliary Space: O(1) Comment More infoAdvertise with us Next Article Count frequency of digit K in given Array V vansikasharma1329 Follow Improve Article Tags : Misc DSA Arrays frequency-counting Practice Tags : ArraysMisc Similar Reads DSA Tutorial - Learn Data Structures and Algorithms DSA (Data Structures and Algorithms) is the study of organizing data efficiently using data structures like arrays, stacks, and trees, paired with step-by-step procedures (or algorithms) to solve problems effectively. Data structures manage how data is stored and accessed, while algorithms focus on 7 min read Quick Sort QuickSort is a sorting algorithm based on the Divide and Conquer that picks an element as a pivot and partitions the given array around the picked pivot by placing the pivot in its correct position in the sorted array. It works on the principle of divide and conquer, breaking down the problem into s 12 min read Merge Sort - Data Structure and Algorithms Tutorials Merge sort is a popular sorting algorithm known for its efficiency and stability. It follows the divide-and-conquer approach. It works by recursively dividing the input array into two halves, recursively sorting the two halves and finally merging them back together to obtain the sorted array. Merge 14 min read SQL Commands | DDL, DQL, DML, DCL and TCL Commands SQL commands are crucial for managing databases effectively. These commands are divided into categories such as Data Definition Language (DDL), Data Manipulation Language (DML), Data Control Language (DCL), Data Query Language (DQL), and Transaction Control Language (TCL). In this article, we will e 7 min read Data Structures Tutorial Data structures are the fundamental building blocks of computer programming. They define how data is organized, stored, and manipulated within a program. Understanding data structures is very important for developing efficient and effective algorithms. What is Data Structure?A data structure is a st 2 min read Bubble Sort Algorithm Bubble Sort is the simplest sorting algorithm that works by repeatedly swapping the adjacent elements if they are in the wrong order. This algorithm is not suitable for large data sets as its average and worst-case time complexity are quite high.We sort the array using multiple passes. After the fir 8 min read Breadth First Search or BFS for a Graph Given a undirected graph represented by an adjacency list adj, where each adj[i] represents the list of vertices connected to vertex i. Perform a Breadth First Search (BFS) traversal starting from vertex 0, visiting vertices from left to right according to the adjacency list, and return a list conta 15+ min read Binary Search Algorithm - Iterative and Recursive Implementation Binary Search Algorithm is a searching algorithm used in a sorted array by repeatedly dividing the search interval in half. The idea of binary search is to use the information that the array is sorted and reduce the time complexity to O(log N). Binary Search AlgorithmConditions to apply Binary Searc 15 min read Insertion Sort Algorithm Insertion sort is a simple sorting algorithm that works by iteratively inserting each element of an unsorted list into its correct position in a sorted portion of the list. It is like sorting playing cards in your hands. You split the cards into two groups: the sorted cards and the unsorted cards. T 9 min read Array Data Structure Guide In this article, we introduce array, implementation in different popular languages, its basic operations and commonly seen problems / interview questions. An array stores items (in case of C/C++ and Java Primitive Arrays) or their references (in case of Python, JS, Java Non-Primitive) at contiguous 4 min read Like