RStudio Lesson 5 | BehindTheBall

In this lecture, students learn how to create scatter plots using ggplot(__) and the geom_point(__) function to visualize relationships between two numerical variables. Using NBA data, the instructor plots total points against three-pointers made and explains how to interpret patterns in the scatter plot. The video then introduces the cor(__) function to calculate correlation coefficients and shows how to assess the strength and direction of relationships between variables. Examples include weak-to-moderate correlation between three-pointers and points, and a strong correlation between three-point attempts and makes.

Scatter plots are created using geom_point() and help visualize relationships between two variables.
Changing variables on the x- and y-axes allows for exploration of different patterns in the data.
The cor() function in R returns the correlation coefficient (from -1 to 1), measuring the strength and direction of a linear relationship.
A higher correlation means a tighter fit to a straight line; a lower one means a looser or no clear pattern.

Lesson 5: Graphing #2

Contact Us