Shiny—an innovative package for R users to develop web applications—makes it easier for R users to share results from their analyses visually to those not familiar with R.
Alyssa Columbus offers an overview of the the key ideas that will help you build simple yet robust Shiny applications and walks you through building data visualizations using the R Shiny web framework. You’ll learn how to use R to prepare data, run simple analyses, and display the results in Shiny web applications as you get hands-on experience creating effective and efficient data visualizations. Along the way, Alyssa shares best practices to make these applications suitable for production deployment.
Alyssa Columbus is a data scientist at Pacific Life and member of the spring 2018 class of NASA Datanauts. Previously, she was a computational statistics and machine learning researcher at the Athena Breast Health Network and has built robust predictive models and applications for a diverse set of industries spanning retail and biologics. Alyssa is a strong proponent of reproducible methods, open source technologies, and diversity in tech. In her free time, she leads R-Ladies Irvine and Girl Scout STEM workshops.
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