How can I create a scatter plot using ggplot2 in R?

How can I create a scatter plot using ggplot2 in R?

To create a scatter plot in ggplot2, you can use the ggplot() function along with geom_point(). Here's a basic example:

library(ggplot2)

data(mtcars)

ggplot(mtcars, aes(x=wt, y=mpg)) +
  geom_point() +
  labs(title='Scatter Plot of Weight vs MPG', x='Weight', y='Miles Per Gallon')

What if I want to change the color of the points based on another variable?

You can map the color aesthetic to another variable in the aes() function. For example:

ggplot(mtcars, aes(x=wt, y=mpg, color=cyl)) +
  geom_point() +
  labs(title='Scatter Plot with Color by Cylinder', x='Weight', y='Miles Per Gallon')

How can I add a regression line to the scatter plot?

You can add a regression line using geom_smooth(). Here's how:

ggplot(mtcars, aes(x=wt, y=mpg)) +
  geom_point() +
  geom_smooth(method='lm', se=FALSE, color='blue') +
  labs(title='Scatter Plot with Regression Line', x='Weight', y='Miles Per Gallon')

Can I customize the theme of the plot?

Yes, you can customize the theme using theme(). For example:

ggplot(mtcars, aes(x=wt, y=mpg)) +
  geom_point() +
  theme_minimal() +
  labs(title='Customized Scatter Plot', x='Weight', y='Miles Per Gallon')