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Building Dashboards with flexdashboard

In this course you'll learn how to create static and interactive dashboards using flexdashboard and shiny.

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Course Description

Communication is a key part of the data science process. Dashboards are a popular way to present data in a cohesive visual display. In this course you'll learn how to assemble your results into a polished dashboard using the flexdashboard package. This can be as simple as adding a few lines of R Markdown to your existing code, or as rich as a fully interactive Shiny-powered experience. You will learn about the spectrum of dashboard creation tools available in R and complete this course with the ability to produce a professional quality dashboard.
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In the following Tracks

Shiny Fundamentals in R

Go To Track
  1. 1

    Dashboard Layouts

    Free

    In this chapter you will learn how R Markdown and the flexdashboard package are used to create a dashboard, and how to customize the layout of components on your dashboard.

    Play Chapter Now
    Welcome to the course!
    50 xp
    Components of a dashboard
    50 xp
    Anatomy of a flexdashboard
    50 xp
    Generating a dashboard
    100 xp
    Adding charts
    100 xp
    Layout basics
    50 xp
    Column widths
    100 xp
    Row orientation
    100 xp
    Advanced layouts
    50 xp
    Tabsets
    100 xp
    Pages
    100 xp
    Menus
    100 xp
  2. 2

    Data Visualization for Dashboards

    This chapter will introduce the many options for including data visualizations in your dashboard. You'll learn about how to optimize your plots for display on the web.

    Play Chapter Now
    Graphs
    50 xp
    Static Graph
    100 xp
    Graph Sizing
    100 xp
    Web-friendly visualizations
    50 xp
    Static vs. web-friendly
    50 xp
    Make a plot web-friendly
    100 xp
    Explore web-friendly features
    100 xp
    htmlwidgets
    50 xp
    Add a leaflet map
    100 xp
    Add a leaflet map directly from dataframe
    100 xp
  3. 3

    Dashboard Components

    In this chapter you will learn about other components that will allow you to create a complete dashboard. This includes ways to present everything from a single value to a complete dataset.

    Play Chapter Now
    Highlighting single values
    50 xp
    Create value box
    100 xp
    Create gauge
    100 xp
    Color indicators
    100 xp
    Linking
    100 xp
    Dashboard Tables
    50 xp
    Static table
    100 xp
    Web-friendly table
    100 xp
    DT::datatable
    100 xp
    Text for Dashboards
    50 xp
    Captions
    100 xp
    Captions with Inline Code
    100 xp
    Storyboards
    100 xp
    Storyboard Commentary
    100 xp
  4. 4

    Adding Interactivity with Shiny

    This chapter will demonstrate how you can use Shiny to make your dashboard interactive. You'll keep working with the San Francisco bike sharing data and build a dashboard for exploring this data set.

    Play Chapter Now
    Incorporating Shiny into Dashboards
    50 xp
    What adding Shiny to a flexdashboard means
    50 xp
    Converting our flexdashboard to use Shiny
    100 xp
    The reactive dataframe pattern
    50 xp
    Adding Sidebar
    100 xp
    Adding User Input
    100 xp
    Making the Dataframe Reactive
    100 xp
    Making a Chart React to Inputs
    100 xp
    Making All Charts React to Inputs
    100 xp
    Customized inputs for charts
    50 xp
    Apply Input to Single Chart
    100 xp
    Move Input to Chart Box
    100 xp
    Create Global Input Sidebar
    100 xp
    Course Recap
    50 xp
For Business

GroupTraining 2 or more people?

Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and more

In the following Tracks

Shiny Fundamentals in R

Go To Track

datasets

San Francisco bike share dataSan Francisco bike share station data

collaborators

Collaborator's avatar
Chester Ismay
Collaborator's avatar
Nick Solomon

prerequisites

Building Web Applications with Shiny in R
Elaine McVey HeadshotElaine McVey

Director of Quantitative Mobility, TransLoc

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