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Dot Map
Description
Also known as a Point Map, Dot Distribution Map, Dot Density Map.
Dot Maps are a way of detecting spatial patterns or the distribution of data over a geographical region, by placing equally sized points over a geographical region.
There are two types of Dot Map: one-to-one (one point represents a single count or object) and one-to-many (one point represents a particular unit, e.g. 1 point = 10 trees).
Dot Maps are ideal for seeing how things are distributed over a geographical region and can reveal patterns when the points cluster on the map. Dot Maps are easy to grasp and are better at giving an overview of the data, but are not great for retrieving exact values.
Functions
Anatomy
Similar Charts
Tools to Generate Visualisation
Code-based:
AnyChart (JS)
D3.js Graph Gallery (D3.js)
Google Charts (HTML5)
JSCharting (JS)
Mike Bostock’s Block (D3.js)
Plotly (JS)
Python Graph Gallery (folium, geopandas, geoplot, basemap)
R Graph Gallery (leaflet, ggplot2, plotly, cartography)
Vega-Lite
ZoomCharts (JS)
Webapp:
CARTO
Datavisual
Datawrapper
Everviz
Flourish
Infogram
Khartis
Desktop App:
Tableau
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