javascript implementation of Dunning's T-Digest for streaming quantile approximation. 

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tdigest

javascript implementation of Dunning's T-Digest for streaming quantile approximation

welch

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		{
		"name": "tdigest",
		"version": "0.0.2",
		"version": "0.0.3",
		"description": "javascript implementation of Dunning's T-Digest for streaming quantile approximation",
		@@ -5,0 +5,0 @@ "main": "tdigest.js",

		@@ -1,7 +0,9 @@
		tdigest [![Build Status](https://secure.travis-ci.org/welch/tdigest.png?branch=master)](http://travis-ci.org/welch/tdigest)
		========
		# tdigest

		[![Build Status](https://travis-ci.org/welch/tdigest.svg?branch=master)](https://travis-ci.org/welch/tdigest) [![NPM version](http://img.shields.io/npm/v/tdigest.svg)](https://www.npmjs.org/package/tdigest)

		Javascript implementation of Dunning's T-Digest for streaming quantile approximation

		The T-Digest is a data structure and algorithm for constructing an
		approximate distribution for a set of real numbers presented as a
		approximate distribution for a collection of real numbers presented as a
		stream. The algorithm makes no guarantees, but behaves well enough in
		@@ -8,0 +10,0 @@ practice that implementations have been included in Apache Mahout and

tdigest - npm Package Compare versions

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