Wrap-up: Go and make your own apps!

1. Wrap-up: Go and make your own apps!

Congratulations on completing the Shiny case studies course! I hope you learned a lot and maybe even enjoyed it.

2. IMG

You've learned and achieved quite a bit in this course. You've created three complete and functioning Shiny apps.

3. Chapter 2: Plotting app

The first app you created was a plotting app. It taught you about many different kinds of inputs, but more importantly it showed you that Shiny can be a good tool for creating customizable plots when you have many parameters that you want to experiment with. This is a technique I myself use quite often.

4. Chapter 3: Data exploration app

The second app you made was a data exploration app. You learned how to use different types of outputs, about the benefits of reactive variables, and a few tricks for making your app easier to use. This is a very common use case of Shiny, I often see people creating Shiny apps after receiving a dataset with the sole purpose of making it easy to explore the dataset. It's also important to remember that Shiny apps are graphical tools meant to be used by humans, so you should remember to think at least a little bit about the interface and usability of your app, not only about functional correctness, otherwise people may not want to use it.

5. Chapter 4: Word cloud app

In your last shiny app, you were given an R function that creates word clouds when called in the R command line, and turned it into a Shiny app that lets people create word clouds entirely using a point and click interface. This is another very common use of shiny - as a tool to expose an R function in a graphical user interface. This can be useful when you want to be able to share an R function with people who don't use R, or if you simply want to access it yourself through a visual app rather than the command line.

6. Let's practice!

Now it's your turn to build your own shiny apps! I really hope that you found this course useful and fun, but even more so I hope this course gave you a little taste of how Shiny can be used for different problems, and that you'll now feel confident to create shiny apps when you see an application for one. Good luck on your new Shiny journey!

This exercise is part of the course

Case Studies: Building Web Applications with Shiny in R

IntermediateSkill Level

5.0+

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In the first chapter, you'll review the essentials of Shiny development. You'll get reintroduced to the basic structure of a Shiny application, as well as some core Shiny concepts such as inputs, outputs, and reactivity. Completing this chapter will help refresh your Shiny knowledge and ensure you have the required skills to develop Shiny apps for real-life scenarios.

Exercise 1: Introduction Exercise 2: Simple text Exercise 3: Formatted text Exercise 4: Adding structure to your app Exercise 5: Inputs and outputs Exercise 6: Adding inputs Exercise 7: Adding placeholders for outputs Exercise 8: Constructing output objects Exercise 9: Reactivity 101 Exercise 10: Reactivity: simple reactive variable Exercise 11: Reactivity: composed reactive variable Exercise 12: Reactive contexts

Imagine you're preparing a figure for a manuscript using R. You spend a lot of time recreating the same plot over and over again by rerunning the same code but changing small parameters each time. The size of the points, the color of the points, the plot title, the data shown on the plot—these criteria all have to be just right before publishing the figure. To save you from the hassle of rerunning the code many times, you will learn how to create a Shiny app to make a customizable plot.

Exercise 1: Make the perfect plot using Shiny Exercise 2: Explore the Gapminder data Exercise 3: More exploration of the Gapminder data Exercise 4: Adding simple inputs to modify a plot Exercise 5: Add a plot title: text input Exercise 6: Change the point size: numeric input Exercise 7: Fit a smooth curve: checkbox input Exercise 8: More input types Exercise 9: Add colours to your plot: radio buttons Exercise 10: Add a continent selector: select input Exercise 11: Add a year filter: numeric slider input Exercise 12: Advanced features to improve your plot Exercise 13: Add colours to your plot: color input Exercise 14: Making your plot larger Exercise 15: Make your plot interactive

Let’s say your supervisor is impressed by the plot you created with Shiny and now wants to get familiar with the dataset you used in the plot. They don't want to simply have a raw data file, they want an interactive environment where they can view the data, filter it, and download it. This chapter will guide you in creating such an application—a Shiny app for exploring the Gapminder dataset.

Exercise 1: Explore a dataset with Shiny Exercise 2: See the data in a table Exercise 3: Filter by life expectancy Exercise 4: Select a continent to view Exercise 5: Allow "All" continents to be viewed Exercise 6: More ways to view data: plot and download Exercise 7: Plot the data Exercise 8: Download the filtered data Exercise 9: Reactive variables Exercise 10: Reactive variables reduce code duplication Exercise 11: More benefits of reactive variables Exercise 12: Visual enhancements Exercise 13: Make the table interactive Exercise 14: Place different outputs on different tabs Exercise 15: Add CSS to modify the look of the app

Your friend really likes word clouds and has written an R function to generate them. They want to share this function with all their friends, but not all of them know how to use R. You offer to help by building a Shiny app that uses their function to let people create their own word clouds. This will allow all their friends—even the ones who are unfamiliar with R—to generate word clouds using a point-and-click interface. This chapter will guide you through the steps required to build this app.

Exercise 1: Word clouds in Shiny Exercise 2: Word cloud Shiny app Exercise 3: Change the word cloud parameters Exercise 4: Add a layout Exercise 5: Adding word sources Exercise 6: Use your own words Exercise 7: Upload a text file (ui)Exercise 8: Upload a text file (server)Exercise 9: Combining all the word sources Exercise 10: Choose the data source (ui)Exercise 11: Choose the data source (server)Exercise 12: Conditionally show or hide required inputs Exercise 13: Fine tune the reactivity Exercise 14: Don't continuously create new word clouds Exercise 15: Reactivity: effects of isolation Exercise 16: Create a new word cloud on demand Exercise 17: Wrap-up: Go and make your own apps!

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