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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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4 Hours14 Videos50 Exercises
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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 with R

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  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
  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.

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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 with 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
Elaine McVey HeadshotElaine McVey

Director of Quantitative Mobility, TransLoc

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