<ul data-eligibleForWebStory="true"><li>Oreo, a data-driven Persian cat with a treat addiction, sets out to determine the top treats in its daily feast using bucket sort.</li><li>Oreo encounters the 'Top K Frequent Elements' problem and uses bucket sort for a quick solution.</li><li>By analyzing recent treat data provided by its human, Oreo identifies shrimp and cookies as the top treats.</li><li>Oreo first counts treat frequencies using a Map and then organizes treats into frequency-based buckets.</li><li>The bucket sort approach allows Oreo to efficiently find its top K treats while avoiding traditional sorting complexities.</li><li>The time complexity of the approach is O(n), making it a linear time solution well-suited for this specific problem.</li><li>The space complexity is also O(n) due to the use of a map for storing treat counts and buckets for frequency organization.</li><li>Oreo's top 2 treats, shrimp and cookies, are confirmed to appear 3 times each based on the bucket sort results.</li></ul>

Oreo's Top K Treats (Bucket Sort)

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