Publishing Visualizations in R with Shiny and flexdashboard
- 4.9
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Course Summary
Learn how to create interactive and informative data visualization dashboards using R programming and Shiny package. This course will equip you with the skills to develop and deploy your own custom dashboards for data analysis and presentation.Key Learning Points
- Create interactive and informative data visualization dashboards using R programming and Shiny package
- Learn to develop and deploy your own custom dashboards for data analysis and presentation
- Understand the core principles of data visualization and how to apply them to your dashboards
Related Topics for further study
Learning Outcomes
- Develop and deploy custom dashboards using R programming and Shiny package
- Understand the core principles of data visualization
- Apply data visualization principles to create informative and interactive dashboards
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of R programming
- Familiarity with data visualization principles
Course Difficulty Level
IntermediateCourse Format
- Online self-paced course
- Video lectures
- Hands-on exercises
- Real-world case studies
Similar Courses
- Applied Data Visualization with R
- Data Analysis and Visualization with Excel
- Data Science Essentials
Related Education Paths
Related Books
Description
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.
Outline
- Introduction to Shiny
- Course Introduction
- Getting Started with Shiny
- Example of a Custom Shiny App
- Building Your Own Shiny App
- Uploading Apps to shinyapps.io
- Integrating Shiny into R Markdown Reports
- Wickham Excerpts
- The Shiny Tutorials
- The Shiny Cheat Sheet
- The Shiny Gallery
- Deploying Apps to shinyapps.io
- Shiny Basics
- Customizing Shiny Apps
- Input and Output with Shiny
- Layouts in Shiny
- Shiny Documentation
- Shiny function reference - UI Inputs and UI Outputs
- Shiny Reference: Using Sliders
- Shiny Themes
- Shiny Reference: Application Layout guide
- Input, Output, and Layout Quiz
- flexdashboard
- Making Dashboards
- Tabsets and Pages in Dashboards
- Shiny and plotly in Dashboards
- Intro to flexdashboard
- Xie et al, Section 5.1
- Dashboard Layouts
- Shiny and flexdashboard
- The Basics of flexdashboards
- flexdashboards Layouts
- Shiny and flexdashboards
Summary of User Reviews
Discover the power of data visualization and learn to create interactive dashboards with this course on Coursera. Students have given positive feedback on the course, mentioning its comprehensive approach to data visualization.Key Aspect Users Liked About This Course
Comprehensive approach to data visualizationPros from User Reviews
- In-depth coverage of data visualization techniques
- Hands-on practice with creating interactive dashboards
- Clear explanations and examples
- Great for beginners and intermediate learners
Cons from User Reviews
- Not suitable for advanced learners
- Some sections may be too basic for some learners
- Could benefit from more quizzes and assessments
- Limited interaction with instructors
- No certificate of completion unless you pay for it
Collin Paschall
4.9 Raiting
Publishing Visualizations in R with Shiny and flexdashboard
- 4.9
-
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One of the critical tools for data visualization today is the R statistical programming language. This course is the fourth in the Specialization "Data Visualization and Dashboarding in R....
