Scatter plot in R

# install.packages("ggplot2")

# install.packages("ggExtra")

library(ggplot2)

library(ggExtra)

dat<- read.csv(file.choose())

colnames(dat)

# Save the scatter plot in a variable

p <- ggplot(dat, aes(x = Speed_2017_to_2019, y =  Volume_2017_to_2019)) +

  geom_point(shape=5, color="gray")+

  ylim(0, 100)+

  xlim(0, 100)+

  geom_smooth(method=lm, color="darkred", fill="blue")+

  theme_classic()

# Densigram

ggMarginal(p, type = "densigram",

           xparams = list(fill = 4),

           yparams = list(fill = 3)) 

# Save the scatter plot in a variable

p <- ggplot(dat, aes(x = Speed_2020, y =  Volume_2020)) +

  geom_point()+ 

  ylim(0, 100)+

  xlim(0, 100)+

  geom_smooth(method=lm)+

  theme_classic()

#scale_size_manual(values=c(2,3,4))

#p + scale_y_discrete(limits=c("0", "100", "200", "300", "400"))

#p + scale_x_discrete(limits=c("0", "30", "60", "90", "120"))

# Densigram

ggMarginal(p, type = "densigram",

           xparams = list(fill = 4),

           yparams = list(fill = 3)) 

# Save the scatter plot in a variable

p <- ggplot(dat, aes(x = Crash_2020, y = Speed_2020)) +

  geom_point()+

  geom_smooth(method=lm, color="darkred", fill="blue")

# Densigram

ggMarginal(p, type = "densigram",

           xparams = list(fill = 4),

           yparams = list(fill = 3))