Leaflet Data Visualization Framework
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Updated
Mar 15, 2018 - JavaScript
Leaflet Data Visualization Framework
🗺 A JavaScript library to easily integrate one or more SVG world maps with all nations (countries) and second-level political subdivisions (countries, provinces, states).
A library for creating geographical maps based on D3.js
Classification schemes for choropleth mapping.
Alternative to choropleths of US States ala http://bit.ly/statebins
Visual is a Javascript library for data visualization developed by the Statistical Institute of Catalonia (Idescat). It is based on popular open source solutions. Visual offers a simple interface that encapsulates the complexity of these solutions for the most common chart types.
Reusable library to quickly create and customise web maps showing Eurostat data directly retrieved from Eurostat database.
A set of community visualisations for Google Data Studio created by the Data Science Campus
Customizable D3.js choropleth map of Romania
Code and data behind the US-China Trade War Tracker www.tradewartracker.com
使用 plotly 绘制 Choropleth 地图。
Python Geographic Plotting: Create a choropleth map with pie charts at each area centroid.
Building choropleth (heat map) of India using react-simple-maps.
Python code to generate political maps
The easiest way to build a choropleth map in Python using Plotly
Single-step data classification, symbology and legend creation for GeoJSON data powered thematic maps
BinGuru is an open-source Typescript package to bin/classify data using 18 established binning methods, including a new method, resiliency.
R package to represent statistical data on official Spanish maps at several administrative levels
Geographical mapping in python using UK GeoJSON files
Create bined heatmaps of the countries in Africa
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