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jbryer/DisneyMarathonWeather.R

Last active October 2, 2018 17:36
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Disney Marathon Weather in ggplot2
Raw
DisneyMarathonWeather.csv
Year Low High StartTemp StartHumidity Sky Wind
2018 41 61 41 82 Clear 5
2017 34 52 34 79 Clear 13
2016 55 71 71 90 Overcast 8
2015 54 79 54 90 Clear 4
2014 51 66 63 93 Partly Cloudy 8
2013 60 81 61 94 Partly Cloudy 0
2012 50 77 50 96 Clear 0
2011 43 64 44 68 Clear 5
2010 28 44 29 55 Clear 9
2009 55 79 56 97 Clear 4
Raw
DisneyMarathonWeather.R
library(ggplot2)
library(reshape2)
weather <- read.csv('DisneyMarathonWeather.csv')
weather.melt <- melt(weather[,c('Year', 'Low', 'High', 'Wind', 'StartHumidity', 'Sky')],
id.vars = c('Year', 'Wind', 'StartHumidity', 'Sky'))
ggplot(weather.melt, aes(x = Year)) +
geom_ribbon(data = weather, aes(ymin = Low, ymax = High), alpha = 0.3, fill = 'skyblue') +
geom_path(aes(y = value, group = variable)) +
geom_point(aes(y = value, size = Wind, color = Sky)) +
geom_text(aes(y = value, label = paste0(value, '°')), vjust = -1) +
scale_x_continuous(breaks = unique(weather.melt$Year)) +
scale_size_continuous('Wind (mph)') +
ylim(c(25, 85)) +
ylab('Temperature (Fahrenheit)') + xlab('') + theme_minimal() +
ggtitle('Disney Marathon Weather')
ggsave('DisneyMarathonWeather.png', width = 10, height = 4)
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jbryer commented Oct 2, 2018

Here is the resulting plot:

image

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