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UdemyPitch Location Charts with PITCHf/x and ggplot
4.8(107)6k studentsINTERMEDIATEEnglish
Korshub's take
Visualizing Baseball, One At-Bat at a Time
This course uses real PITCHf/x data to build pitch location charts for a full baseball game, breaking the game down at-bat by at-bat to show the location, type, speed, sequence, and outcome of every pitch thrown. The vehicle for building these visualizations is ggplot, and the course goes deep into working with color, aesthetics, and faceting to make the charts genuinely readable.
Along the way you'll also pick up broader R skills, including how to subset a vector and how to work with factors — techniques that carry well beyond baseball data.
Who It's For
Best suited to learners with some prior exposure to R, dplyr, and ggplot, though it's not a strict requirement. Completing it at a relaxed pace takes about three weeks.
Key Takeaways
- How to turn raw PITCHf/x pitch data into readable, faceted visualizations
- Practical ggplot skills: color mapping, aesthetics, and faceting
- Supporting R skills like vector subsetting and working with factors
About this course
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.
Price
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