Day #27 - Exploring ggplot2

	#Why ggplot2 ?
	#Plotting system for R
	#How to install ?
	install.packages("ggplot2")
	#What is aes ?
	aes creates a list of unevaulated expressions
	aes(x= , y= )
	#What is geom_point ?
	#point geom used to create scatter plots.
	#What is a scatter plot ?
	#Pairs up two quantitative variables and display them as geometric points
	#Examples ?
	library(ggplot2)
	ggplot(mtcars,aes(wt,mpg))
	p = ggplot(mtcars,aes(wt,mpg))
	#This line only plots geometric points
	p+geom_point()
	#Add Color
	library(ggplot2)
	ggplot(mtcars,aes(wt,mpg))
	p = ggplot(mtcars,aes(wt,mpg))
	#This line only plots geometric points
	p+geom_point(aes(colour=qsec))
	#color scale to add this dimension to the plot
	#Add Color
	library(ggplot2)
	ggplot(mtcars,aes(wt,mpg))
	p = ggplot(mtcars,aes(wt,mpg))
	#This line only plots geometric points
	p+geom_point(color="green")
	#Scale points
	library(ggplot2)
	ggplot(mtcars,aes(wt,mpg))
	p = ggplot(mtcars,aes(wt,mpg))
	#This line only plots geometric points
	p+geom_point(aes(size=qsec))
	#Next Post with Category Variables
	#Reference - https://www3.nd.edu/~steve/computing_with_data/11_geom_examples/ggplot_examples.html

view raw ggplot2Example.R hosted with ❤ by GitHub