https://github.com/junosuarez/characterize

npm module to characterize a set of data
https://github.com/junosuarez/characterize

Last synced: 9 months ago
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npm module to characterize a set of data

• Host: GitHub
• URL: https://github.com/junosuarez/characterize
• Owner: junosuarez
• Created: 2012-10-04T07:34:09.000Z (almost 14 years ago)
• Default Branch: master
• Last Pushed: 2012-10-04T07:46:44.000Z (almost 14 years ago)
• Last Synced: 2025-02-15T16:46:15.695Z (over 1 year ago)
• Language: JavaScript
• Size: 102 KB
• Stars: 2
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# characterize

by jden 

characterize a set of data. made for the usecase of a commandline reporter for analysis scripts - but throws in some other basic stats goodies as well.

## usage

    var characterize = require('characterize');

    var data = [ 1, 1, 1, 1, 2, 3, 4, 5, 5, 5, 6, 30, 32, 50, 580 ];

    characterize(data);

## example output:

	[ 1, 1, 1, 1, 2, 3, 4, 5, 5, 5, 6, 30, 32, 50, 580 ]

	Histogram:

	[540, 600) │█	(1)

	[480, 540) │	(0)

	[420, 480) │	(0)

	[360, 420) │	(0)

	[300, 360) │	(0)

	[240, 300) │	(0)

	[180, 240) │	(0)

	[120, 180) │	(0)

	[60, 120)  │	(0)

	[0, 60)    │██████████████	(14)

	Boxplot:

	├■███───────────────────────────────────────────────────────────┤

	Distribution (percentiles):

	0  :  1

	25 :  2

	50 :  5

	75 :  32

	100:  580

	Variance:  20388.64

	Std Deviation (population): 142.78879507860552

	Measures of Central Tendency:

	Mean  :  48.4

	Median:  5

	Mode  :  1

	Possible Outliers:

	580

## other functions

 - linearInterpolate

 - quartiles

 - percentile

 - intervals

 - magnitude

 - outliers

 - scale