After doing these courses, I feel confident creating professional visualizations and dashboards
Shoebur RahmanProcurement Specialist, Giz Bangladesh
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.
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.
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.
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.
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
Curriculum
Course outline
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.
- Getting started with shiny apps50 XP
- Parts of a shinyApp50 XP
- An empty shinyApp100 XP
- Types of input50 XP
- Practicing sliderInput100 XP
- Inserting multiple inputs100 XP
- checkboxInput and checkboxGroupInput100 XP
- Types of output50 XP
- textOutput with interactions100 XP
- Dropdown menus100 XP
- Your first shinyApp100 XP
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.
3
Interactive plots and geospatial maps
In this chapter, you will learn to further enhance your shinydashboard by inserting interactive elements. These will include graphs, geospatial maps, and tables that dashboard users can interact with in real-time.
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.
R
Building Dashboards with shinydashboard
Course
Complete
