R Dataset / Package HistData / Minard.temp
Data from Minard's famous graphic map of Napoleon's march on Moscow
Charles Joseph Minard's graphic depiction of the fate of Napoleon's Grand Army in the Russian campaign of 1815 has been called the "greatest statistical graphic ever drawn" (Tufte, 1983). Friendly (2002) describes some background for this graphic, and presented it as Minard's Chalenge: to reproduce it using modern statistical or graphic software, in a way that showed the elegance of some computer language to both describe and produce this graphic.
data(Minard.troops) data(Minard.cities) data(Minard.temp)
Minard.troops: A data frame with 51 observations on the following 5 variables giving the number
of surviving troops.
Number of surviving troops, a numeric vector
a factor with levels
a numeric vector
Minard.cities: A data frame with 20 observations on the following 3 variables giving the locations of
various places along the path of Napoleon's army.
City name: a factor with levels
Minard.temp: A data frame with 9 observations on the following 4 variables, giving the temperature
at various places along the march of retreat from Moscow.
Number of days on the retreat march
a factor with levels
Minard.temp should be made a real date in 1815.
Friendly, M. (2002). Visions and Re-visions of Charles Joseph Minard, Journal of Educational and Behavioral Statistics, 27, No. 1, 31-51.
Friendly, M. (2003). Re-Visions of Minard. http://www.math.yorku.ca/SCS/Gallery/re-minard.html
data(Minard.troops); data(Minard.cities)## Not run: require(ggplot2) plot_troops <- ggplot(Minard.troops, aes(long, lat)) + geom_path(aes(size = survivors, colour = direction, group = group)) plot_both <- plot_troops + geom_text(aes(label = city), size = 4, data = Minard.cities) plot_polished <- plot_both + scale_size(to = c(1, 12), breaks = c(1, 2, 3) * 10^5, labels = comma(c(1, 2, 3) * 10^5)) + scale_colour_manual(values = c("grey50","red")) + xlab(NULL) + ylab(NULL) # re-scale the plot window to an aspect ratio of ~ 4 x 1 windows(width=12, height=3) plot_polished ## TODO: add the plot of temperature below## End(Not run)
Dataset imported from https://www.r-project.org.
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