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Building Dashboards with shinydashboard

BasicSkill Level
4.6+
71 reviews
Updated 12/2024
Learn to create interactive dashboards with R using the powerful shinydashboard package. Create dynamic and engaging visualizations for your audience.
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RReporting
4 hr
15 videos
51 Exercises
4,100 XP
3,979
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Course Description

Learn to create an interactive dashboard using the shinydashboard package in R. Whether you need to provide a client with information, create a data analysis report, or keep track of the performance of a personal project, shinydashboard can help you create something impactful. Learn the essentials of this powerful package today.

Understand How to Use Dashboards



While reports can provide you with a snapshot of a situation, a dashboard is not only dynamic, meaning that data can be updated in real time but also interactive. This makes for a more immersive experience for your audience.

Learn To Use shinydashboard



In this course, you will learn how to use shinydashboard in R to create a dynamic and interactive dashboard. You will cover the ins and outs of shinydashboard and learn about good UI/UX practices.

Build an Interactive Dashboard



You will first build a shinyApp and then graduate to building a shinydashboard. Then, you learn how to include interactive elements with hover-over effects.

Finally, you will explore how to tweak your design elements of a shinydashboard using CSS code and more. You will be given the opportunity to practice these concepts using various datasets in the context of four different scenarios.

Upon completing this course, you will be better equipped to create tailor-made dashboards for any purpose using shinydashboard.

Prerequisites

Intermediate RIntroduction to the Tidyverse
1

ShinyApps

Before you build a shinydashboard, you will first need to understand what a shinyApp is. In this chapter, you will learn what a shinyApp is, and learn what goes into a shinyApp. At the end of this chapter, you will be able to render your own shinyApp.
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2

Basics of a shinydashboard

In the previous chapter, you learned about shiny apps. In this chapter, you will realize that a shinydashboard is really just another shiny app but with more tweakable features. The same outputs and inputs discussed in the previous chapter can be used in exactly the same manner here. You will then learn to carry out some simple wire-framing for a dashboard, during which you can decide where to position outputs and inputs in the dashboard.
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4

Adding design elements and improving UI/UX

Now that you are familiar with shinydashboard, we can now add design elements. We will be able to change background colors, modify box dimensions and so on. We will also discuss some basic principles of good UI/UX. Finally, we will show how statuses and CSS formatting can be utilized.
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Building Dashboards with shinydashboard
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Don’t just take our word for it

*4.6
from 71 reviews
73%
24%
1%
1%
0%
  • Michael
    4 weeks ago

    Guidance is OK in videos, not so much in the tasks

  • Brundaban
    6 weeks ago

  • Pragyan
    6 weeks ago

  • Shravan
    2 months ago

  • Damir
    2 months ago

  • Mohammed
    2 months ago

Shravan

Damir

Mohammed

FAQs

Do I need prior Shiny experience to take Building Dashboards with shinydashboard?

No. The course starts by teaching you the basics of shinyApp before graduating to shinydashboard. You just need Intermediate R and tidyverse familiarity.

Will I learn to add interactive maps and plots to my dashboard?

Yes. Chapter 3 covers interactive plots with hover-over effects, geospatial maps, and tables that users can interact with in real time within the dashboard.

Can I customize the look and feel of a shinydashboard?

Yes. The final chapter teaches you how to change background colors, modify box dimensions, apply statuses, and use CSS formatting to customize your dashboard design.

What UI/UX principles does this course cover?

You will learn basic wire-framing for layout planning, positioning of inputs and outputs, and general principles of good dashboard UI/UX to make your dashboards user-friendly.

What kinds of projects could I build after completing this course?

You could build interactive reporting dashboards, geospatial data explorers, or real-time monitoring tools for business data, all deployable as web applications using R.

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