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Introduction to Shiny Apps using NBA data

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Introduction to Shiny Apps using NBA data

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Shiny is a framework for making interactive web applications and beautiful data dashboards entirely in R. Developed by RStudio, Shiny translates R code into HTML, CSS, and Javascript so you don't have to. In this tutorial you will make and deploy a Shiny app using open-source NBA data. Along the way you will learn about how Shiny works, how to debug your code when syntax gets tricky, and how to integrate Shiny with the plotting libraries ggplot2 and plotly.

Please bring your laptops so you can code as you go!

Julia Wrobel is currently working towards her Ph.D. in biostatistics at Columbia University. She received an M.S. in biostats from Columbia in 2015 and a B.A. in chemistry from Swarthmore College in 2010. Her research focuses on methods for analyzing and visualizing high-dimensional data, with recent work in physical activity (think: FitBits) and neuroimaging. She is the author of refund.shiny, a Shiny-based R package for visualizing functional data analyses. In her spare time she enjoys rock climbing, skiing, baking and pizza.

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