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

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!

VALUE IN PLAYER DATA One of the trades this offseason that stuck out to me the most was Richie Palacios going to Tampa Bay and the Cardinals receiving Andrew Kittredge in return. While this trade was not a needle mover for many people and I do truly believe it was a win-win for both sides. I think the Rays found incredible value in Palacios. I took his hitting data and applied it to a prediction model and it predicting that based on his performance this past year coupled with prediction that he could do it again would mean that he would potentially be responsible for creating nearly 49 runs this next year in a linear regression based on hitting data respective to runs created. My guessing is the rays saw this value, coupled with their ability to maximize hitting with solid metrics through excellent player development (Isaac Paredes and Yandy Diaz to name a couple), and took a flyer on a player that could potentially be a 3+ WAR type of player in the right environment with plenty of opportunities. The Rays continue to do what they do, find quality value for great prices to remain in competitive balance. Tampa Bay Rays #baseball #r #shiny #playerdevelopment #ncaa #mlb #collegebaseball#trackman #R

Please ask or answers any data integration/communication questions you have! Anybody is welcome to contribute...please be respectful!

Does anyone know if/where I can find a dataset of the stats of everyone ball player in Division 1 this season?