Exploropleth: exploratory analysis of data binning methods in choropleth maps
Arpit Narechania, Alex Endert, Clio Andris

TL;DR
Exploropleth is an interactive, open-source web tool that allows users to compare and customize data binning methods in choropleth maps, enhancing understanding and flexibility in map visualization.
Contribution
The paper introduces Exploropleth, a novel web-based tool that integrates multiple binning methods and real-time reclassification for improved choropleth map creation.
Findings
Tool supports multiple binning methods simultaneously
Allows on-the-fly reclassification of administrative units
Potential to educate users and improve mapmaking workflows
Abstract
When creating choropleth maps, mapmakers often bin (i.e., group, classify) quantitative data values into groups to help show that certain areas fall within a similar range of values. For instance, a mapmaker may divide counties into groups of high, middle, and low life expectancy (measured in years). It is well known that different binning methods (e.g., natural breaks, quantile) yield different groupings, meaning the same data can be presented differently depending on how it is divided into bins. To help guide a wide variety of users, we present a new, open source, web-based, geospatial visualization tool, Exploropleth, that lets users interact with a catalog of established data binning methods, and subsequently compare, customize, and export custom maps. This tool advances the state of the art by providing multiple binning methods in one view and supporting administrative unit…
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Taxonomy
TopicsGeographic Information Systems Studies · Data Visualization and Analytics · Geography Education and Pedagogy
