Company: Pluralsight Author: Jacey Heuer Full Title: Data Analysis With Shiny: R Playbook Year: 2019 Language: English Genre: Educational: Programming Skill Level: Beginner Price: - - Files: MP4 (+ Slides .PDF, Subtitles .SRT) Time: 01:18:20 Video: AVC, 1280 x 720 (1.778) at 30.000 fps, 200 kbps Audio: AAC at 96 Kbps, 2 channels, 48.0 KHz R Shiny is the answer to a data scientist’s difficulty in deploying their projects to their organization. In this course, you will learn how to use the Shiny package in R to develop and deploy a data science project that may be consumed by the organization. When it comes to generating value for the organization with data science projects, many data scientists face a key problem in the deployment of these projects. R Shiny is a package in R that solves this deployment problem by creating easy-to-use web applications in R. In this course, Data Analysis with Shiny: R Playbook, you will learn foundational knowledge of the R Shiny package in R programming. First, you will learn the background of R Shiny’s purpose in solving the deployment obstacle in data science. Next, you will discover how R Shiny uses reactive environments and simple R elements to create a seamless app. Finally, you will explore how to deploy a Shiny app into a cloud hosted site on Shinyapps.io. When you are finished with this course, you will have the skills and knowledge of R Shiny needed to deploy a data science project into the organization. Software required: R programming and R Studio. Lessons: 1. Course Overview 01. Course Overview 2. Up and Running with Shiny 02. R Shiny and the Deployment Obstacle 03. Exploring the R Shiny Galleries 04. Setting up the R Shiny Framework 05. Installing R Shiny and Creating R Script Files 06. Launching Your First R Shiny App 3. Setting up the Shiny App 07. Intro for Setting up the Shiny App 08. Developing the Reactive Environment 09. Programming the ui Object: Part 1 10. Programming the ui Object: Part 2 11. Creating Basic Elements of the Shiny App in the R Session 12. Mapping the ui Object to the Server Function Using Reactivity 13. Launching the Next Iteration of Your R Shiny App 4. Customizing Shiny App 14. Intro and Digging Deeper Into the ui Object 15. Overview of the Highcharter and Shinydashboard Packages 16. Experimenting with the ui Object and Highcharter Package 17. Launch the App and See It All in Action 18. Demo: Shinydashboard Package 5. Deploy Shiny App 19. Setting the Scene for Shiny Deployment 20. Deployment Obstacles 21. The Deployment Methods 22. Setting up Shinyapps.io 23. Launching an App Using Shinyapps.io Our members see more. Join us! ------------- Our members see more. Join us!