This tutorial is a hands-on activity complement to a set of presentation slides for learning how to build Shiny apps. To get a sense of the wide range of things you can do with Shiny, you can visit my Shiny server, which hosts some of my own Shiny apps.
You can do quite a lot with Shiny: think of it as an easy way to make an interactive web page, and that web page can seamlessly interact with R and display R objects (plots, tables, of anything else you do in R). While that may sound scary because of the words “web pages”, it’s geared to R users who have 0 experience with web development, and you do not need to know any HTML/CSS/JavaScript. Shiny is a package from RStudio that can be used to build interactive web pages with R.
To share it with the world it will need to be deployed to a server running R.If you want tutoring/training in Shiny or need help with building a Shiny app, I’m available for hire. This tutorial runs a Shiny app on your computer. library(golem) is particularly helpful for creating modular Shiny apps. Furthermore, if you find yourself writing very large and complicated Shiny apps, then look into ‘modularizing Shiny code’. This does not change the functionality but allows to better organise your code. It is possible to separate app.R into two separate scripts: ui.R and server.R. More about getting started with Shiny can found here: You now understand the basic skeleton - that there is a user interface (ui) and a server. STEP 5 (optional): Add animate = TRUE inside sliderInput(). You now have a fully functioning Shiny app and all you had to do was wrap your beautiful plot code inside some ()s, add a sliderInput(), and replace 2007 with input$year. Press Control+Shift+Enter or the “Run App” button. Gapminder %>% filter(year = input $year) %>% ggplot( aes(y = lifeExp, x = continent)) +.
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