2677. Chunk Array

 

LeetCode Solution: Chunking an Array in JavaScript

Introduction

When working with arrays in JavaScript, there are many times when we need to break down a large array into smaller, more manageable subarrays. This process is known as "chunking." In this blog post, we'll explore a simple yet efficient solution to chunk an array using JavaScript. We'll also analyze the time and space complexity of our solution.

Problem Statement

Given an array and a chunk size, split the array into smaller subarrays where each subarray has at most the specified chunk size. For example, given the array [1, 2, 3, 4, 5] and a chunk size of 2, the output should be [[1, 2], [3, 4], [5]].

Intuition

The key idea here is to iterate through the array and extract subarrays of the given size. By utilizing the Array.prototype.slice method, we can create these subarrays efficiently. We use a while loop to traverse the array, incrementing the index by the chunk size with each iteration to ensure that the subarrays are of the correct size.

Approach

  1. Initialize an empty array result to hold the chunked subarrays.

  2. Initialize an index variable i to 0.

  3. Use a while loop to iterate through the array as long as i is less than the length of the array.

  4. Create subarrays using arr.slice(i, i + size) within the loop.

  5. Push the subarrays into the result array.

  6. Increment the index i by the chunk size with each iteration.

  7. Return the result array containing all the chunked subarrays.

Here’s the implementation:

javascript
var chunk = function(arr, size) {
    let result = [];
    let i = 0;
    while (i < arr.length) {
        result.push(arr.slice(i, i + size));
        i += size;
    }
    return result;
};

Complexity Analysis

  • Time Complexity: The time complexity of this solution is O(n), where n is the number of elements in the array. This is because we iterate through the array once, slicing subarrays of the given size.

  • Space Complexity: The space complexity is also O(n), due to the additional space required to store the chunked subarrays in the result array.

Conclusion

Chunking an array is a common problem that can be solved efficiently with a simple while loop and the Array.prototype.slice method in JavaScript. This solution is both time and space efficient, with linear complexity. It’s a handy technique for various real-world applications, such as pagination, batching tasks, or organizing data for display purposes.

For more details and to see this solution in action, check out my Chunk Array - LeetCode for this problem.

Happy coding!

I hope this blog post captures your solution effectively. Feel free to ask if you need any more adjustments or further elaboration!

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