Creating a Dynamic Web Application using RShiny

4.0
estrellas
13 calificaciones
ofrecido por
Coursera Project Network
En este proyecto guiado, tú:

Learn how reactive programming works between the user interface (UI) and the server of an RShiny application

Learn how to create a real world web-based application to upload your dataset in CSV format, and view and extract summary information

Learn how to dynamically create and download high quality plots from different columns in your dataset

Clock1.5 hours
BeginnerPrincipiante
CloudNo se necesita descarga
VideoVideo de pantalla dividida
Comment DotsInglés (English)
LaptopSolo escritorio

By the end of this project, you will learn how to create a web-based application to view and analyse your dataset using RShiny, a free, open-source R library that you can download. You will learn how reactive programming works between the user interface (UI) and the server. You will then learn how to create a real world web-based application to upload your dataset in CSV format, and view and extract summary information from the dataset. Lastly, you will learn how to dynamically create high quality plots from different columns in your dataset and download these plots for business use. An RShiny web application is a dynamic application that updates automatically when the user input changes or updates. These web applications can save you time and resources while speeding up the processes and analysis. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Habilidades que desarrollarás

Data AnalysisRShinyWeb Development

Aprende paso a paso

En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:

  1. Understand reactive programming and interact with a default RShiny application

  2. Create the user interface for application layout and file upload

  3. Create the user interface for viewing, summarizing and plotting your dataset

  4. Create the server for viewing and summarizing your dataset

  5. Create the server for plotting your dataset

  6. Deploy your application and interact with real world datasets

Cómo funcionan los proyectos guiados

Tu espacio de trabajo es un escritorio virtual directamente en tu navegador, no requiere descarga.

En un video de pantalla dividida, tu instructor te guía paso a paso

Preguntas Frecuentes

Preguntas Frecuentes

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