BinGuru is a Javascript package with an API to several established data binning / data classification methods, often used for visualizing data on choropleth maps. It also includes an implementation of a new, consensus binning method, 'Resiliency'.
npm install binguru
import { BinGuru } from "binguru";
let rawData = [1, 45, 65, 23, 65, 87, 54, 45, 31, 21, 12, 12, 98, 56, 76, null, null, "nan", undefined, "", "null"]; // Input array of numbers, strings, nulls, nans, undefineds.
let binCount = 5; // Desired number of bins (inconsequential for certain binning methods, e.g., boxPlot).
let binExtent = 10; // Desired bin interval (only applicable for certain binning methods, e.g., definedInterval).
let precision = 2; // Desired rounding off precision.
let binGuruObj = new BinGuru(rawData=rawData, binCount=binCount, binExtent=binExtent, precision=precision); // Initialize an instance of BinGuru
let bins = binGuruObj.fisherJenks(); // Call an endpoint, e.g., fisherJenks() to bin using the FisherJenks / Natural Breaks binning method first.
console.log(bins);Check out this Observable Notebook.
- Install dependencies:
npm install - Build the package:
npm run build - Set version:
npm version prerelease --preid=<version> - Dry run:
npm publish --dry-run - Publish to the registry:
npm publish
BinGuru was created by Arpit Narechania, Alex Endert, and Clio Andris of the Georgia Tech Visualization Lab. We thank the members of the Georgia Tech Visualization Lab for their support and constructive feedback.
@InProceedings{narechania2023resiliency,
author = {Narechania, Arpit and Endert, Alex and Andris, Clio},
title = {{Resiliency: A Consensus Data Binning Method}},
booktitle = {12th International Conference on Geographic Information Science (GIScience 2023)},
pages = {55:1--55:7},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
year = {2023},
volume = {277},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
doi = {10.4230/LIPIcs.GIScience.2023.55}
}The software is available under the MIT License.
If you have any questions, feel free to open an issue or contact Arpit Narechania.
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