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    Building Data Apps with R and Shiny: Essential Training [Repost]

    Posted By: IrGens
    Building Data Apps with R and Shiny: Essential Training [Repost]

    Building Data Apps with R and Shiny: Essential Training
    .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 2h 50m | 418 MB
    Instructor: Charlie Joey Hadley

    Shiny allows R data science teams to build interactive data-driven web apps without needing to learn HTML, CSS, or JavaScript. It is a powerful and versatile tool that is often used for R&D, data analysis, and even external marketing purposes. If you have a good understanding of the R language and know how to separate client-side code from server-side, you are ready to dive into this course and build a Shiny app. Charlie Hadley covers organizing single and split-file apps, managing data tables, using APIs to get data into an app, adding data controls, deploying an app, and more.

    Learning objectives

    • Building a Shiny data app
    • Single vs. split-file apps
    • Static tables vs. interactive tables
    • renderTable and kableExtra and DT tables
    • Connecting to an API
    • Populating pull-down menus from data
    • Using interdependent filter controls
    • Collecting data using rhandsontable
    • Printing to the R console in Shiny apps
    • Debugging Shiny apps
    • shinyjs::runcodeUI, reactlog
    • Deploying apps


    Building Data Apps with R and Shiny: Essential Training [Repost]