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This project aims to replicate Minard's renowned visualization of Napoleon's March on Moscow, employing ggplot2 techniques for plot development, featuring troop movement, city locations, and temperature data integration.
Charles Minard’s depiction of Napleon’s disastrous march to Moscow, in the winter of 1812, is heralded by Edward Tufte as "probably the best statistical graphic ever drawn." Our adaption of this famous flow map includes interactivity using the Google Maps API
26 maj 2014 · Generally considered as the first data visualization, the figurative map of Charles Joseph Minard (1869) shows the path of Napoleon’s troops across the Russian Empire of Alexander I. Using amazingly simple and modern graphical codes, this map displays the progress of the troops in the form of a stream whose width indicates the size of the ...
Minard's Map of Napoleon's March Creator Charles Minard Date of Creation 1869 Source URL upload.wikimedia.org Description Charles Minard's visualization depicting Napoleon's march on Moscow Example Type data visualization Visualization Types. line chart; map / spatial data; Subject Area war Original Context historical Audience Level.
19 paź 2016 · The depiction is a graph made by Charles Joseph Minard, a civil engineer and map maker in 19 th century France (below). The disaster was the loss of over 410,000 soldiers on Napoleon’s catastrophic march on Moscow in his ill-fated Russian Campaign of 1812.
Charles Joseph Minard: Napoleon's Retreat From Moscow (The Russian Campaign 1812-1813) An Interactive Chart “The map that made a nation cry”: Depicting the Grande Armée’s great disaster by geography, time, and temperature, Minard’s famous map from 1869 is one of the earliest examples of a flow map.
This example reproduces a famous historical flow map: Charles Joseph Minard’s map depicting Napoleon’s disastrously costly 1812 march on Russia during the Napoleonic Wars. This plot demonstrates building and using a custom matplotlib colormap.
