Building Dashboards with shinydashboard
Learn to create interactive dashboards with R using the powerful shinydashboard package. Create dynamic and engaging visualizations for your audience.
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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.
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.
Training 2 or more people?
Get your team access to the full DataCamp platform, including all the features.In the following Tracks
Shiny Fundamentals in R
Go To Track- 1
ShinyApps
FreeBefore 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 xpParts of a shinyApp50 xpAn empty shinyApp100 xpTypes of input50 xpPracticing sliderInput100 xpInserting multiple inputs100 xpcheckboxInput and checkboxGroupInput100 xpTypes of output50 xptextOutput with interactions100 xpDropdown menus100 xpYour 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.
Components of a shinydashboard50 xpComponents of a shinydashboard UI50 xpYour first (empty) dashboard100 xpThe header and sidebar50 xpHeader and sidebar functions100 xpSetting a header100 xpSetting a sidebar100 xpThe body50 xpWireframing with boxes100 xpWireframing100 xpYour first shinydashboard50 xpHelper functions50 xpHeader and side bar settings100 xpThe body, and completing the UI100 xpBuilding your first dashboard100 xp - 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.
Interactive plots with plotly50 xpCreating your own plotly plots100 xpUnderstanding plotly limitations100 xpGeospatial maps with sf50 xpTypes of sf objects50 xpsf plots with plot()100 xpsf plots with ggplot100 xpGeospatial maps with leaflet50 xpLayers of a leaflet map100 xpCreating your first leaflet map100 xpInteractive elements in a shinydashboard50 xpCreating some helper functions100 xpYour first shinydashboard with interactive elements100 xp - 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.
Good UI/UX practices50 xpUnderstanding UI/UX principles50 xpWireframing with UI/UX principles100 xpStatuses, colors and skins50 xpSetting statuses100 xpSetting colors100 xpChanging shinydashboard skins100 xpCustomization with CSS formatting50 xpGood UI/UX practices and a warm-up100 xpStatuses and completing the UI100 xpCustomize your shinydashboard with CSS100 xpWrap-up50 xp
Training 2 or more people?
Get your team access to the full DataCamp platform, including all the features.In the following Tracks
Shiny Fundamentals in R
Go To Trackcollaborators
Kee Seng Png
See MoreResearcher
Kee Seng is a researcher based in Singapore, whose day job is to design trading strategies. He has a background in physics and an interest in math, data science and statistics. His specialization was in physical mathematics, but has since pivoted to the world of finance.
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