How is a graphic like pumpkin pie? A framework for analysis and critique of visualisations.
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How is a graphic like pumpkin pie? The four C ’s of critiquing a graphic Hadley Wickham Assistant Professor / Dobelman Family Junior Chair Department of Statistics / Rice University
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Presenter: Hadley WickhamBELIV 2010 Workshophttp://www.beliv.org/beliv2010/
Transcript of How is a graphic like pumpkin pie? A framework for analysis and critique of visualisations.
How is a graphic likepumpkin pie?
The four C’s of critiquing a graphic
Hadley WickhamAssistant Professor / Dobelman Family Junior Chair
Department of Statistics / Rice University
Content
Troops: number, location, direction, groupCities: location, nameTemperatures: location, date, temperatureRivers?
Construction
Troops: drawn with a line, position given by location, size by number of troops, colour by direction, broken into groups
troops <- read.csv("minard-troops.csv")cities <- read.csv("minard-cities.csv")
ggplot(cities, aes(long, lat)) + geom_path(aes(size = survivors, colour = direction, group = interaction(group, direction)), data = troops) + geom_text(aes(label = city), hjust = 0, vjust = 1, size = 4)
# Polish appearancelast_plot() + scale_x_continuous("", limits = c(24, 39)) + scale_y_continuous("") + scale_colour_manual(values = c("grey50","red")) + scale_size(to = c(1, 10))
Kowno
Wilna
SmorgoniMoiodexno
Gloubokoe
Minsk
Studienska
Polotzk
Bobr
Witebsk
Orscha
Mohilow
SmolenskDorogobouge
Wixma
Chjat Mojaisk
Moscou
Tarantino
Malo−Jarosewii
54.0
54.5
55.0
55.5
24 26 28 30 32 34 36
survivors100,000
200,000
300,000
directionAR
Context
Consumption
Troops: drawn with a line, position given by location, size by number of troops, colour by direction, broken into groups
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