Pitch Location Charts with PITCHf/x and ggplot
- Students will need to have R and RStudio installed on their own computers.
In this course, we make use of PITCHf/x data to create pitch location charts for a given baseball game. We break the game out into each at-bat and visualize the location, type, and speed of each pitch, the order in which the pitches were thrown, and the outcome of the at-bat.
In order to accomplish this, we will be taking a deep dive into ggplot. We will learn much about how to work with color, how to use aesthetics, and how to facet. We will also gain additional R skills, such as how to subset a vector and how to work with factors.
One should be able to complete the course, at a relaxed pace, in about three weeks. It is best if students already have a little bit of a background in R, dplyr, and ggplot, but it is not completely necessary.
Who this course is for:
- This course is for students interested in learning how to create pitch location charts and how to wrangle data from PITCHf/x.
- It would be best for each student to have a bit of a background in R, dplyr, and ggplot, but it is not completely necessary.
- 04:14PITCHf/x Data
- 04:50Scraping the Data
- 04:46Joining the atbat and pitch Data Frames
- 04:39Choosing Columns from the atbat Data Frame
- 02:31Choosing Columns from the pitch Data Frame
Dr. Charles Redmond is a professor in the Tom Ridge School of Intelligence Studies and Information Science at Mercyhurst University. He has been a member of the Department of Mathematics and Computer Systems at Mercyhurst for 21 years and has recently completed a term as chair of the department. Dr. Redmond received his PhD in mathematics from Lehigh University in 1993 and has published in the Annals of Applied Probability, the Journal of Stochastic Processes and Their Applications, Mathematics Magazine, the College Mathematics Journal, and Mathematics Teacher. In his spare time he enjoys making music and computer generated art, reading, and owning a Clumber Spaniel.