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Big O cheat sheet for the sorting algorithms — comparison table, growth curves, worst-case ranking, space complexity, and stability breakdown across all 9 algorithms covered: Bubble, Selection, Insertion, Gnome, Quick, Merge, Heap, Bucket, and Radix Sort. Save this set for quick reference before your next DSA interview prep session.

Comparison table — The full cheat sheet: best, average, and worst-case time, plus space, stability, and in-place status for all 9 algorithms in one table.

Growth curve graph — How operation count actually scales as input size grows, from O(1) up to O(n²), with each algorithm mapped to its curve.

Worst-case ranking — All 9 algorithms ranked shortest-bar-to-longest by worst-case time complexity.

Space complexity grid — Which algorithms need extra memory and how much, grouped by O(1), O(log n), O(n+k), and O(n).

Stable vs in-place quadrant — Not every algorithm can be both. See which of the 9 land in each combination.

Hey folks! What algorithm do you want to see next?

Drop your suggestions in the comments, and I’ll do my best to create the visualization and get it out as soon as I can.

The goal of this channel is simple: first, we’re going to cover the most popular DSA algorithms with clear and easy-to-follow visualizations. Then, we’ll move into interview-focused, pattern-based questions.

So stay tuned, keep the suggestions coming, and let’s learn DSA together, one algorithm at a time!