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dedicated visualizer

Insertion Sort

Builds a sorted prefix by inserting each new value into the right gap. This page keeps the runner, chart, and controls focused on a single algorithm so the walkthrough feels calmer than the overview page.

sortingbeginnerbest O(n)worst O(n²)space O(1)
sorted prefixshiftingstableadaptive

session controls

Compare this algorithm against a related one, turn on quiz mode, or keep the current state in a shareable URL.

current shareable URL

Copy the URL to preserve this exact dataset, target, compare mode, and quiz state.

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Want a different problem or visual mode? Jump back to the catalog and open another dedicated page.

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scenario presets

Load a focused input that reveals a specific behavior quickly instead of hand-editing every value first.

dataset controls

Use your own array, randomize a fresh one, or restore defaults. The same dataset is shared by both panels in compare mode.

Enter up to 12 integers. Values are normalized to the range 1–99 for clean visualization.

step 1 / 440% complete

current action

start prefix

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run summary

Finished in 44 steps. Final order: 1, 2, 3, 5, 6, 7, 8, 9.

comparisons

19

writes

21

sorted

8

steps

44

current explanation

Insertion sort starts with a one-item sorted prefix.

simple explanation

Treat the first number as already sorted.

pseudocode

1treat the left side as a sorted prefix
2pick the next unsorted value
3shift larger sorted values rightward
4insert the picked value into the gap

complexity card

best

O(n)

average

O(n²)

worst

O(n²)

space

O(1)

algorithm notes

intuition

It works the same way many people sort cards in their hands.

tradeoffs

  • Great for small or nearly sorted datasets.
  • Shifts can make it slow on long random arrays.
  • Stable and in-place.

when to use it

Use for small datasets, nearly sorted data, or as a base case inside more advanced sorts.

interview tips

  • Mention that insertion sort often appears inside hybrid algorithms for small partitions.
  • Explain why nearly sorted data is its sweet spot.

what I learned building this

typed definitions

One algorithm schema now drives the catalog, counters, pseudocode, notes, and visual modes, which keeps the UI consistent as the lab grows.

replay over mutation

Precomputed steps made it much easier to synchronize explanations, metrics, quiz prompts, and scrubber playback without hidden state drifting out of sync.

portfolio framing

Shareable URL state, compare mode, and responsive layouts mattered as much as the algorithm logic because this page needs to teach clearly and still feel polished as a product.

more in this lane

Want a different take on the same problem family? These stay in the same category but change the strategy.