Shiny modules are short (well, usually short) server and UI functions, that can be connected to each other by a common namespace, and be embedded within a regular Shiny app. You can’t run a Shiny module without a parent Shiny app. The modules can contain both inputs and outputs, and are usually centered around a […]
Exercises
Prettify your Shiny Tables with DT: Exercises
Have you ever wanted to make your Shiny tables interactive, more functional and look better? The DT package, which stands for “DataTables”, provides an R interface to the JavaScript library “DataTables”. It allows creating high standard tables by implementing the functionalities and design features that are available through the “DataTables” library. Even though the DT […]
Pull the Right Strings with stringr: Exercises
By providing a set of wrappers to existing functions, the stringr package allows for simple, consistent and efficient manipulations of strings in R. Even though there are some more basic packages that offer strings-related functions, you might find yourself in need for a more complete and straightforward solution for handling strings in R. With a […]
Step Up Your Dashboard With Shinydashboard – Part 2: Exercises
The shinydashboard provides a well-designed dashboard theme for Shiny apps and allows for an easy assembly of a dashboard from a couple of basic building blocks. The package is widely used in commercial environments as well due to its neat features for building convenient and robust layouts. This exercise set will help you practice all […]
Step Up Your Dashboard With Shinydashboard – Part 1: Exercises
The shinydashboard package provides a well-designed dashboard theme for Shiny apps and allows for an easy assembly of a dashboard from a couple of basic building blocks. The package is widely used in commercial environments as well, due to its neat features for building convenient and robust layouts. This exercise set will help you practice […]
Specialize in Geo-Spatial Visualizations With Leaflet – Part 2: Exercises
Leaflet is a JavaScript library for interactive maps. It is widely used across many platforms and fortunately, it is also implemented as a very user-friendly R package! With leaflet, you can create amazing maps within minutes that are customized exactly to your needs and embed them within your Shiny apps, markdowns or just view them […]
Basic Generalized Linear Modeling – Part 4: Exercises
This exercise is going to be the last exercise on Basic Generalized Linear Modeling (GLM). Please click here to find the other part of the Basic GLM Exercise that you’ve missed. In this exercise, we will discuss Logistic Regression models as one of the GLM methods. The model is used where the response data is […]
Specalize in Geo-Spatial Visualizations With Leaflet – Part 1: Exercises
Leaflet is a JavaScript library for interactive maps. It is widely used across many platforms, and fortunately it is also implemented as a very user-friendly R package! With leaflet, you can create amazing maps within minutes that are customized exactly to your needs and embed them within your Shiny apps, markdowns, or just view them […]
Harvesting Data From the Web With Rvest: Exercises
The rvest package allows for simple and convenient extraction of data from the web into R, which is often called “web scraping.” Web scraping is a basic and important skill that every data analyst should master. You’ll often see it as a job requirement. In the following exercises, you will practice your scraping skills on […]
Basic Generalized Linear Modeling – Part 3: Exercises
In this exercise, we will continue to solve problems from the last exercise about GLM here. Therefore, the exercise number will start at 9. Please make sure you read and follow the previous exercise before you continue practicing. In the last exercise, we knew that there was over-dispersion over the model. So, we tried to […]
