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DSA C++programming~30 mins

Top K Frequent Elements Using Heap in DSA C++ - Build from Scratch

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Top K Frequent Elements Using Heap
📖 Scenario: Imagine you have a list of product IDs sold in a store. You want to find the top k products that were sold most frequently to decide which products to promote.
🎯 Goal: Build a C++ program that finds the top k most frequent elements from a list of integers using a heap (priority queue).
📋 What You'll Learn
Create a vector called nums with the exact values: {1,1,1,2,2,3}
Create an integer variable called k and set it to 2
Use a unordered_map<int, int> called freq to count frequencies of elements in nums
Use a priority_queue (min-heap) to keep track of top k frequent elements
Print the top k frequent elements in any order
💡 Why This Matters
🌍 Real World
Finding the most popular products, words, or items in large datasets is common in marketing, search engines, and recommendation systems.
💼 Career
Understanding heaps and frequency counting is important for roles in software development, data analysis, and algorithm design.
Progress0 / 4 steps
1
Create the data vector
Create a std::vector<int> called nums with these exact values: {1,1,1,2,2,3}
DSA C++
Hint

Use std::vector<int> nums = {1,1,1,2,2,3}; to create the list.

2
Add the variable for k
Add an integer variable called k and set it to 2 below the nums vector
DSA C++
Hint

Write int k = 2; to set how many top elements to find.

3
Count frequencies and use a min-heap
Create an unordered_map<int, int> called freq to count frequencies of elements in nums. Then use a priority_queue as a min-heap to keep top k frequent elements. Use for loops with variables num and p as needed.
DSA C++
Hint

Use freq[num]++ to count. Use a min-heap with a custom comparator to keep top k frequent elements.

4
Print the top k frequent elements
Use a while loop to pop elements from minHeap and print the first value of each pair (the element) separated by spaces.
DSA C++
Hint

Pop from minHeap until empty and print the element part of each pair.