# histo-utils

> A set of utilities to create, merge and manage histograms

Latest version **0.2.0** (published 2015-05-11) · 0 weekly downloads

## Install

```sh
npm install histo-utils
pnpm add histo-utils
yarn add histo-utils
bun add histo-utils
```

## Health

**Score 15/100 (F)** — status: abandoned.

Positive: no vulnerabilities.

Warnings: low downloads; no types; no esm support; pre 1.0.

Negative: abandoned; low maintenance score.

## Facts

| | |
|---|---|
| Version | 0.2.0 |
| Published | 2015-05-11 |
| First published | 2015-05-05 |
| Weekly downloads | 0 |
| TypeScript types | none |
| Module format | CommonJS |
| Dependencies | 1 |
| Known vulnerabilities | 0 (+2 in 1 direct dependencies) |
| Install scripts | no |
| Maintainers | arunoda |

## Links

- npm: https://www.npmjs.com/package/histo-utils
- Repository: https://github.com/meteorhacks/histo-utils
- Issues: https://github.com/meteorhacks/histo-utils/issues
- npm.io page: https://npm.io/package/histo-utils

## Dependencies (1)

- [underscore](https://npm.io/package/underscore.md) 1.8.x

## Recent versions

- 0.2.0 (latest) — 2015-05-11
- 0.1.1 — 2015-05-07
- 0.1.0 — 2015-05-05

## README

# histo-utils

A set of utilities to create, merge and manage histograms.

## Installaton

~~~js
npm i --save histo-utils
~~~

## Building a histogram

~~~js
var HistoUtil = require('histo-utils');
var histoBuilder = HistoUtils.create();
histoBuilder.addPoints([10, 20]);
histoBuilder.addPoints([30, 40, 50]);

// build the histogram
var histogram = histoBuilder.build();
console.log(histogram);
// output => { bins: [ [ 10, 3 ], [ 40, 2 ] ], binSize: 24 }
~~~

## Merging Histograms

Merging Histograms. This don't gives us perfect histogram compared with a one generated with rawData. But still, this works pretty well if you can't store raw data.

~~~js
var histogramOne = { 
    bins: [ [ 10, 3 ], [ 40, 2 ] ], 
    binSize: 24 
};
var histogramTwo = { 
    bins: [ [ 10, 4 ], [ 50, 2 ] ], 
    binSize: 32 
};

var merged = HistoUtils.merge([histogramOne, histogramTwo]);
console.log(merged);
// output => { bins: [ [ 22, 7 ], [ 52, 4 ] ], binSize: 27 }
~~~

## Calculating Percentiles

Currently, percentile is the starting point of the bin. But, we can improve this once we stored the skewness for each bin along with the frequency.

~~~js
var histogram = { 
    bins: [ [ 10, 30 ], [20, 40], [ 40, 20 ], [80, 20], [99999, 1] ], 
    binSize: 24 
};

var percentiles = HistoUtils.getPercentiles(histogram, [50, 95, 99]);
console.log(percentiles);
// output => { '50': 20, '95': 80, '99': 80 }
~~~

---
_Source: https://npm.io/package/histo-utils · Machine-readable twin of the npm.io package page. Health data is recomputed on every publish._