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There are 3 modules in this course
Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. One of the critical tools for data visualization today is the R statistical programming language. Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports. However, R can be intimidating for first time users, and there are so many resources online that it can be difficult to sort through without guidance.
This course is the fourth in the Specialization "Data Visualization and Dashboarding in R." Learners will come to this course with a strong background in making visualization in R using ggplot2. To build on those skills, this course covers creating interactive visualization using Shiny, as well as combining different kinds of figures made in R into interactive dashboards.
In this module, we will get started using Shiny to create interactive visualizations. You should begin by watching the introductory videos in each lesson. Then, carefully review the readings and reference materials provided. Once you have done that, I recommend watching the videos again to check your understanding. You will take a few quizzes as you progress through the material to make sure you are keeping up.
What's included
6 videos5 readings1 assignment1 peer review
Show info about module content
6 videos•Total 41 minutes
Course Introduction•3 minutes
Getting Started with Shiny•8 minutes
Example of a Custom Shiny App•8 minutes
Building Your Own Shiny App•8 minutes
Uploading Apps to shinyapps.io•10 minutes
Integrating Shiny into R Markdown Reports•5 minutes
5 readings•Total 140 minutes
Wickham Excerpts•45 minutes
The Shiny Tutorials•45 minutes
The Shiny Cheat Sheet•20 minutes
The Shiny Gallery•20 minutes
Deploying Apps to shinyapps.io•10 minutes
1 assignment•Total 10 minutes
Shiny Basics•10 minutes
1 peer review•Total 45 minutes
Your First Shiny App•45 minutes
Customizing Shiny Apps
Module 2•4 hours to complete
Module details
In this module, we will go into greater details about laying Shiny applications. You should begin by watching the introductory videos in each lesson. Then, carefully review the readings and reference materials provided. Once you have done that, I recommend watching the videos again to check your understanding. You will take a few quizzes as you progress through the material to make sure you are keeping up.
What's included
2 videos5 readings1 assignment1 peer review
Show info about module content
2 videos•Total 18 minutes
Input and Output with Shiny•12 minutes
Layouts in Shiny•7 minutes
5 readings•Total 95 minutes
Shiny Documentation•20 minutes
Shiny function reference - UI Inputs and UI Outputs•10 minutes
In this module, we will learn how to use flexdashboard to display visualization in a dashboard format. You should begin by watching the introductory videos in each lesson. Then, carefully review the readings and reference materials provided. Once you have done that, I recommend watching the videos again to check your understanding. You will take a few quizzes as you progress through the material to make sure you are keeping up.
What's included
3 videos4 readings3 assignments1 peer review
Show info about module content
3 videos•Total 13 minutes
Making Dashboards•6 minutes
Tabsets and Pages in Dashboards•3 minutes
Shiny and plotly in Dashboards•3 minutes
4 readings•Total 90 minutes
Intro to flexdashboard•15 minutes
Xie et al, Section 5.1•15 minutes
Dashboard Layouts•30 minutes
Shiny and flexdashboard•30 minutes
3 assignments•Total 15 minutes
The Basics of flexdashboards•5 minutes
flexdashboards Layouts•5 minutes
Shiny and flexdashboards•5 minutes
1 peer review•Total 90 minutes
Making a Dashboard•90 minutes
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What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.