PLU | Data Analysis With Shiny: R Playbook (2019 EN)

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    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


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