| Sumario: | 4+ Hours of Video Instruction Create visual, interactive, data-based web applications without having to be a web developer Overview In Shiny R LiveLessons, Jared Lander shows you how to use Shiny to your advantage. Shiny is an open source web framework for R and Rstudio that enables you to turn analyses into visual, interactive applications. Shiny applications are easy to write and are built with R. No web development skills are necessary. About the Instructor Jared P. Lander is the chief data scientist of Lander Analytics, a New York-based data science firm that specializes in data science and AI consulting and training. He is the organizer of the New York Open Statistical Programming Meetup and the New York R Conference, and is an adjunct professor at Columbia University. With a master's degree from Columbia University in statistics and a bachelor’s from Muhlenberg College in mathematics, he has experience in both academic research and industry. Very active in the data community, Jared is a frequent speaker at conferences, universities, and meetups around the world such as Strata Hadoop World and the MIT Sloan Sports Analytics Conference. His writings on statistics can be found at jaredlander.com, and his work has been featured in publications such as Forbes and the Wall Street Journal . Skill Level Beginner to intermediate analytics skills Learn How To Use simple markup (Markdown, RMarkdown) with Shiny Display data interactively Use reactive expressions to render dynamic computations Use flexdashboard for quick and elegant layout Use the shinydashboard package for professional apps Who Should Take This Course Anyone with who wants to add to their R skills in order to create visual, interactive, data-based applications Course Requirements Familiarity with R Statistics/data analytics background Lesson Descriptions Lesson 1: Getting Started with Markdown Markdown is an excellent tool for writing documents. It enables you to focus on content and not be distracted by design. Highly flexible, it can render elegant HTML files, professional PDFs, editable Word documents, web slideshows, and more. You learn the basic structure of Markdown documents and how easy it is to write page after page. Lesson 2: Integrating Code into Markdown Weaving together R code with prose has been a hallmark of scientific writing in R for many years thanks to S-Weave and knitr. Now with RMarkdown it is easier than ever before. We go over the necessary steps to integrat...
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