Photo by Steshka Willems from Pexels As part of a little personal project I’m working on (and that has been put on the back burner) I had made this Shiny app showing the offensive statistics for each position sortable by baseball era.
Below is a video of a presentation I gave alongside Rohan Alexander on using R and the cesR package.
Photo by Pixabay from Pexels In reading through the introduction of ‘Telling Stories With Data’ by Rohan Alexander (2021) a few notions came to mind that I thought pertinent to share.
Photo by cottonbro from Pexels Introduction So, continuing on my post about the ggfortify package, I thought I’d post about another package that I’ve come to use in pretty much every project that involves data viz and ggplot.
Photo by Tima Miroshnichenko from Pexels Introduction In the process of writing the post ‘Baseball - A Defensive Critique’ I discovered an R package I quite liked.
Photo by Steshka Willems from Pexels Introduction to the Introduction So this definitely got out of hand.
This is a bit of a breakdown for my thought process and the functions for the R package cesR.
Photo by olia danilevich from Pexels Introduction I was recently writing a function for an R package I was working on in which I wanted to return the label for a given column in a given data object.