A recent project for a class I am currently taking asked us to redesign a well-known information graphic.

A recent project for a class I am currently taking asked us to redesign a well-known information graphic.
Photo by Kevin Bidwell from Pexels I was recently able to get a bit of a break from things and took that time to engage in some good ol’ fashioned playing of the video games.
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.
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.
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.