Shiny (R Package)

Shiny is a powerful R package that enables the creation of interactive web applications straight from R, transforming static data analysis into interactive web applications. Coursera's Shiny catalogue teaches you how to use this package to bring your data analysis results to life. You'll learn how to build and customize Shiny apps, integrate Shiny with R packages such as ggplot2 for data visualization, and how to handle reactivity for real-time updates within your applications. This course will also equip you with the knowledge of deploying your Shiny apps so that they can be shared with a broader audience. Harness the power of R and Shiny to create engaging, interactive data visualizations and applications.

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Results for "Shiny (R Package)"

  • Skills you'll gain: Shiny (R Package), Interactive Data Visualization, Dashboard Creation, R (Software), Dashboard, User Interface (UI), UI Components, Data Integration, Server Side, Interactive Design, User Interface (UI) Design, Web Applications, Software Architecture, Event-Driven Programming

  • Skills you'll gain: Shiny (R Package), Cloud Deployment, Interactive Data Visualization, Data Visualization, Cloud Applications, Application Deployment, UI Components, Server Side, Dashboard Creation, Performance Tuning, R (Software), Dashboard, Secure Coding, User Interface (UI), Application Lifecycle Management, Web Applications, Authentications, Application Development, R Programming, Data Management

  • Johns Hopkins University

    From the course: Developing Data Products·Lesson: Shiny Gadgets

  • From the course: Build Interactive Data Apps with R Shiny Fundamentals·Lesson: Getting Started with Shiny

  • Skills you'll gain: Shiny (R Package), Application Deployment, UI Components, Server Side, Secure Coding, User Interface (UI), Application Lifecycle Management, Authentications, Interactive Data Visualization, User Interface (UI) Design, Software Development Life Cycle, Back-End Web Development, Interactive Design, Authorization (Computing), Application Development, Security Controls, Web Applications, R (Software), Development Environment

  • Skills you'll gain: Shiny (R Package), User Interface (UI), User Interface (UI) Design, Data Visualization Software, Interactive Data Visualization, Statistical Visualization, UI Components, Application Deployment, Web Applications, Front-End Web Development, Data Analysis, Back-End Web Development, Spatial Data Analysis, Web Development, Full-Stack Web Development, Server Side, Python Programming, Development Environment

  • Skills you'll gain: Shiny (R Package), Cloud Deployment, Interactive Data Visualization, Data Visualization, Cloud Applications, Performance Tuning, Dashboard Creation, R (Software), Web Applications, Application Development, Frontend Performance, R Programming, Event-Driven Programming, Dashboard, Exploratory Data Analysis, Driving engagement, UI Components, User Interface (UI) Design, Data Analysis, File I/O

  • Johns Hopkins University

    From the course: Developing Data Products·Lesson: Shiny Part 2

  • From the course: Developing Data Products·Lesson: Shiny Part 1

  • Skills you'll gain: Shiny (R Package), Dashboard Creation, Dashboard, Ggplot2, Interactive Data Visualization, Data Visualization Software, Application Development, Data Sharing, UI Components, User Interface (UI), Application Deployment

  • From the course: Hands-On Data Science with PyTorch & Pandas·Lesson: Data Visualization and Shiny

  • From the course: Shiny for Python Ultimate - Web Development with Python·Lesson: Second App - Climate Change