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Add whisker plot
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@@ -148,10 +148,14 @@ You can use the `--export-markdown <file>` option to create tables like the foll
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The JSON output is useful if you want to analyze the benchmark results in more detail. The
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[`scripts/`](https://github.com/sharkdp/hyperfine/tree/master/scripts) folder includes a lot
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of helpful Python programs to further analyze benchmark results and create helpful
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visualizations, like a histogram of runtimes:
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visualizations, like a histogram of runtimes or a whisker plot to comare
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multiple benchmarks:
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## Installation
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[](https://repology.org/project/hyperfine/versions)
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