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fix typo in tdigest.rst
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docs/source/quantiles/tdigest.rst

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@@ -13,7 +13,7 @@ The implementation in this library has a few differences from the reference impl
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Unlike all other algorithms in the library, t-digest is empirical and has no mathematical basis for estimating its error
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and its results are dependent on the input data. However, for many common data distributions, it can produce excellent results.
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t-digest also operates only on numeric data and, unlike the the quantiles family algorithms in the library which return quantile
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t-digest also operates only on numeric data and, unlike the quantiles family algorithms in the library which return quantile
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approximations from the input domain, t-digest interpolates values and will hold and return data points not seen in the input.
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The closest alternative to t-digest in this library is REQ sketch. It prioritizes one chosen side of the rank domain:

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