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Chapter 3.R
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Chapter 3.R
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library(tidyverse)
mpg
ggplot(data = mpg)+
geom_point(mapping = aes(x=displ,y=hwy))
#Excersize
ggplot(data = mpg)+
geom_point(mapping = aes(x=class,y=drv))
ggplot(data = mpg)+
geom_point(mapping = aes(x=displ,y=hwy, color = class))
ggplot(data = mpg)+
geom_point(mapping = aes(x=displ,y=hwy, size = class))
ggplot(data = mpg)+
geom_point(mapping = aes(x=displ,y=hwy, alpha = class))
ggplot(data = mpg)+
geom_point(mapping = aes(x=displ,y=hwy, shape = class))
ggplot(data = mpg)+
geom_point(mapping = aes(x=displ,y=hwy), color = "blue")
#Logical statement as legend = True or False
ggplot(data = mpg)+
geom_point(mapping = aes(x=displ,y=hwy, colour = displ < 5))
?geom_point
#Stroke = width of border
ggplot(mtcars, aes(wt, mpg)) +
geom_point(shape = 21, colour = "black", fill = "white", size = 5, stroke = 1)
#Facets
ggplot(data = mpg)+
geom_point(mapping = aes(x = displ, y = hwy))+
facet_wrap(~ class, nrow = 3)
ggplot(data = mpg)+
geom_point(mapping = aes(x = displ, y = hwy))+
facet_grid(drv ~ cyl)
ggplot(data = mpg)+
geom_point(mapping = aes(x = displ, y = hwy))+
facet_grid(. ~ displ)
ggplot(data = mpg) +
geom_point(mapping = aes(x = displ, y = hwy))
ggplot(data = mpg) +
geom_smooth(mapping = aes(x = displ, y = hwy))
ggplot(data = mpg)+
geom_smooth(mapping = aes(x = displ, y = hwy, linetype = drv))
ggplot(data = mpg)+
geom_smooth(mapping = aes(x = displ, y = hwy, linetype = drv)) +
geom_point(aes(x = displ, y = hwy,col = drv))
ggplot(data = mpg) +
geom_smooth(mapping = aes(x = displ, y = hwy))
ggplot(data = mpg) +
geom_smooth(mapping = aes(x = displ, y = hwy, group = drv))
ggplot(data = mpg) +
geom_smooth(
mapping = aes(x = displ, y = hwy, color = drv),
show.legend = FALSE
)
ggplot(data = mpg, mapping = aes(x = displ, y = hwy)) +
geom_point(mapping = aes(color = class)) +
geom_smooth()
ggplot(data = mpg, mapping = aes(x = displ, y = hwy)) +
geom_point(mapping = aes(color = class)) +
geom_smooth(data = filter(mpg, class == "suv"), se = F) + geom_smooth(data = filter(mpg, class == "2seater"), se = F)
ggplot(data = mpg, mapping = aes(x = displ, y = hwy, color = drv)) +
geom_point() +
geom_smooth(se = FALSE)
ggplot(data = mpg, mapping = aes(x = displ, y = hwy)) +
geom_point() +
geom_smooth()
ggplot() +
geom_point(data = mpg, mapping = aes(x = displ, y = hwy)) +
geom_smooth(data = mpg, mapping = aes(x = displ, y = hwy))
ggplot(mpg, aes(x = displ, y = hwy, fill = drv)) +
geom_point(color = "white", shape = 21, stroke = 2, size = 3)
ggplot(data = diamonds) + geom_bar(aes(x = cut))
demo <- tribble(
~cut, ~freq,
"Fair", 1610,
"Good", 4906,
"Very Good", 12082,
"Premium", 13791,
"Ideal", 21551
)
ggplot(data = demo) +
geom_bar(mapping = aes(x = cut, y = freq), stat = "identity")
ggplot(data = demo) +
geom_bar(mapping = aes(x = cut, y = freq))
ggplot(data = diamonds) +
geom_bar(mapping = aes(x= cut, y= ..prop.., group =2))
ggplot(data = diamonds) +
geom_bar(mapping = aes(x = cut, fill = color, y = ..prop.., group=1))
ggplot(data = diamonds) +
geom_bar(mapping = aes(x= cut, colour = cut))
ggplot(data = diamonds) +
geom_bar(mapping = aes(x= cut, fill = cut))
ggplot(data = diamonds) +
geom_bar(mapping = aes(x = cut, color = cut))
ggplot(data = diamonds) +
geom_bar(mapping = aes(x = cut, fill = cut))
ggplot(data = diamonds) +
geom_bar(mapping = aes(x = cut, fill = clarity))
plt <- ggplot(data = diamonds)
plt+ geom_bar(aes(x=cut,fill=clarity), alpha = 0.2,position = "identity")
plt + geom_bar(aes(x=cut), position = "identity")
ggplot(data = diamonds, mapping = aes(x = cut, colour = clarity)) +
geom_bar(fill = NA, position = "identity")
ggplot(data = diamonds) +
geom_bar(mapping = aes(x = cut, fill = clarity), position = "fill")
ggplot(data = diamonds) +
geom_bar(mapping = aes(x=cut,fill = clarity), position = "dodge")
ggplot(data=mpg) +
geom_point(aes(x = displ, y = hwy), position = "jitter")
ggplot(data = mpg, mapping = aes(x = cty, y = hwy)) +
geom_point() +
geom_jitter()
ggplot(data = mpg, mapping = aes(x = cty, y = hwy)) +
geom_point() +
geom_count()
ggplot(data = mpg ) +
geom_boxplot(aes(x = class, y = displ))+ geom_jitter(width = 0.2)
p <- ggplot(mpg, aes(class, hwy))
p + geom_boxplot()
p + geom_boxplot(position = "jitter")
ggplot(data=mpg, mapping = aes(x = class, y = hwy)) +
geom_boxplot()
ggplot(data=mpg, mapping = aes(x = class, y = hwy))+
geom_boxplot()+coord_flip()
nz <- map_data("nz")
ggplot(nz, aes(long,lat,group = group))+
geom_polygon(fill = "white", col = "black")
ggplot(nz, aes(long, lat, group = group)) +
geom_polygon(fill = "white", colour = "black") +
coord_quickmap()
bar <- ggplot(data = diamonds) +
geom_bar(
mapping = aes(x = cut, fill = cut),
show.legend = FALSE,
width = 1
) +
theme(aspect.ratio = 1) +
labs(x = NULL, y = NULL)
bar + coord_flip()
bar + coord_polar()
ggplot(mpg, aes(factor(1), fill = cyl)) +
geom_bar(width = 1) +
coord_polar()
ggplot(mpg) +
geom_bar(aes(factor(1), fill = factor(cyl)), width = 1) +theme(aspect.ratio = 1)+
coord_polar()
ggplot(data = diamonds) +
geom_bar(mapping = aes(x = cut, fill = cut))+coord_polar()
ggplot(mpg, aes(factor(1), fill = factor(cyl))) +
geom_bar(width = 1) +
coord_polar(theta = 'y')
ggplot(data = mpg, mapping = aes(x = cty, y = hwy)) +
geom_point() +
geom_abline() +
coord_fixed()
nz <- map_data("nz")
nzmap <- ggplot(nz, aes(x = long, y = lat, group = group)) +
geom_polygon(fill = "white", colour = "black")
nzmap + coord_map()
nzmap + coord_quickmap()