Creating a Dynamic Web Application using RShiny

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estrelas
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Coursera Project Network
Neste projeto guiado, você irá:

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
BeginnerBásico
CloudSem necessidade de download
VideoVídeo em tela dividida
Comment DotsInglês
LaptopApenas em desktop

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 você desenvolverá

Data AnalysisRShinyWeb Development

Aprender passo a passo

Em um vídeo reproduzido em uma tela dividida com a área de trabalho, seu instrutor o orientará sobre esses passos:

  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

Como funcionam os projetos guiados

Sua área de trabalho é um espaço em nuvem, acessado diretamente do navegador, sem necessidade de nenhum download

Em um vídeo de tela dividida, seu instrutor te orientará passo a passo

Perguntas Frequentes – FAQ

Perguntas Frequentes – FAQ

Mais dúvidas? Visite o Central de Ajuda ao Aprendiz.