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⇱ Publishing Visualizations in R with Shiny and flexdashboard | Coursera

Publishing Visualizations in R with Shiny and flexdashboard

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Publishing Visualizations in R with Shiny and flexdashboard

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Gain insight into a topic and learn the fundamentals.
4.9

72 reviews

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.9

72 reviews

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

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Assessments

5 assignments

Taught in English

Build your subject-matter expertise

This course is part of the Data Visualization & Dashboarding with R Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

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

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

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

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
  • Shiny Reference: Using Sliders•10 minutes
  • Shiny Themes•10 minutes
  • Shiny Reference: Application Layout guide•45 minutes
1 assignment•Total 15 minutes
  • Input, Output, and Layout Quiz•15 minutes
1 peer review•Total 120 minutes
  • A (Much) More Complex Shiny App•120 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

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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Instructor

Instructor ratings
4.8 (30 ratings)
Johns Hopkins University
5 Courses•45,383 learners

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Showing 3 of 72

AA
·

Reviewed on May 27, 2021

Another one! And it's getting better and better. Enjoyed every bit of it, thank you.

IL
·

Reviewed on Sep 30, 2021

T​his course is a good start for people who are interested in learning about R Shiny and flexdashboard.

NP
·

Reviewed on Feb 9, 2021

Great course . Learnt lot from the course.Thank you very much for making such incredible course.

Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

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.

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.

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