{library("tidyverse")
library("ggthemes")
library("ggHoriPlot")
library("showtext")
library("ggtext")
}
::data(climate_CPH)
utils
<- climate_CPH %>%
cutpoints mutate(
outlier = between(
AvgTemperature, quantile(AvgTemperature, 0.25, na.rm=T)-1.5*IQR(AvgTemperature, na.rm=T),
quantile(AvgTemperature, 0.75, na.rm=T)+1.5*IQR(AvgTemperature, na.rm=T))) %>%
filter(outlier)
<- sum(range(cutpoints$AvgTemperature))/2
ori <- seq(range(cutpoints$AvgTemperature)[1], range(cutpoints$AvgTemperature)[2], length.out = 7)[-4]
sca
# fonts
font_add_google("Luckiest Guy","ramp")
font_add_google("Bebas Neue","beb")
font_add_google("Fira Sans","fira")
font_add_google("Raleway","ral")
font_add_google("Bitter","bit")
showtext_auto()
<- ggplot(data = climate_CPH) +
plot geom_horizon(aes(date_mine,
AvgTemperature,fill = ..Cutpoints..),
origin = ori, horizonscale = sca) +
scale_fill_manual(values = c("#5A101C","#BF4149","#f1d2ce","#CDE1F0","#4C8BBF","#102F63") ) +
facet_grid(Year~., switch = "y", scales = "free", space = "free") +
theme_few() +
theme(
text = element_text(family = "fira"),
panel.spacing.y=unit(0, "lines"),
strip.text.y.left = element_text(size = 16, angle = 0) ,
axis.text.y = element_blank(),
axis.title.y = element_blank(),
axis.ticks.y = element_blank(),
panel.border = element_blank(),
plot.title = element_text(size=30),
legend.position = "bottom",
axis.text=element_text(size=16),
legend.text = element_text(size=16),
legend.title = element_text(size=16)
+
) scale_x_date(expand=c(0,0),
date_breaks = "1 month",
date_labels = "%b") +
xlab('\n') +
ggtitle('\nTemperatura media en Copenhague, Dinamarca\n (1995 - 2019)',
'\n') +
guides(fill=guide_legend(title="Temperatura °C"))
#plot
Datos: climate_CPH (1995-2019)