Hi all, I created a tutorial of how to access all NCAA player stats: Link Here. Feel free to add me on LinkedIn, and use the code in the post to create your own projects. Onto the next project!

The purpose of creating this was to create a visual to help understand the type of quality that goes into depth of contact and swing decisions. When linking with video it can help further visualize what is happening and break swings or pitching metrics down further to help with player development or roster decisions. I will be adding a zone and plate and will share that at a future date. There is incredible value in linking video with the 3D zone. Athlete Lab #MLB #baseball #coding #data #analytics #R #dataanalytics

1. When making a Shiny App, put the ui section in a script called ui.R and the server in server.R. As long as they're loaded and in the same directory they will run without having to type "shinyApp(ui, server)" 2. When you have a lot of lines of code to run simultaneously but highlighting is a drag, put all the code within {} brackets and just run the line with the end bracket, it will run all the code. 3. Put comments on your code, and if you use at least four pound signs #### R Script will recognize it as a chapter for the outline table of contents, making it so much easier to find your sections in long scripts. 4. Consider using Projects within RStudio, which you can read more about here: https://support.posit.co/hc/en-us/articles/200526207-Using-RStudio-Projects

Please ask or answers any coding questions you have! Anybody is welcome to contribute...please be respectful!

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