Скачать или смотреть How to Embed ggplot with Plotly in R Shiny Apps or Flexdashboard

Discover how to effectively embed an interactive `ggplot` using `Plotly` into your R Shiny app or Flexdashboard with this step-by-step guide.
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This video is based on the question https://stackoverflow.com/q/69998529/ asked by the user 'piper180' ( https://stackoverflow.com/u/12317572/ ) and on the answer https://stackoverflow.com/a/70001201/ provided by the user 'ismirsehregal' ( https://stackoverflow.com/u/9841389/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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How to Embed ggplot with Plotly in R Shiny Apps or Flexdashboard

Whether you’re a data analyst or a data scientist, creating interactive visualizations is fundamental to understand complex datasets. Among various visualization tools available, ggplot2 paired with Plotly stands out for its ability to produce stunning graphics. But how does one embed these dynamic plots into an R Shiny app or a Flexdashboard? In this guide, we’ll walk you through the process, using a sample script with the popular gapminder dataset.

Understanding the Problem

You may have created an interactive plot using ggplot2 and Plotly, but embedding it into an R Shiny app or Flexdashboard can be daunting at first. The key is knowing how to integrate the two frameworks efficiently.

Let's dive into an example that demonstrates how to do this.

Step-by-Step Solution

We will break down the solution into clear sections, so you can follow along easily.

Step 1: Setting Up the Environment

Make sure you have the following libraries installed and loaded in your R environment:

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Step 2: Preparing the Data

We will use the gapminder dataset, filtering it to focus on the year 2007. The data preparation includes rounding the GDP per capita, population, and life expectancy values, which will make our visualization more presentable.

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Step 3: Creating the UI

In a Shiny app, the UI component is what users interact with. We will create a dashboard layout with a main area for the plot and an optional download button.

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Step 4: Building the Server

The server component holds the logic of the application. Here, we create the plot and assign it to the plotlyOutput.

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Step 5: Run the Application

In your R console, run shinyApp(ui, server) to launch the app. You should see an interactive bubble chart based on the gapminder data. Users can also download the plot as an HTML file directly from the dashboard.

Conclusion

Embedding a ggplot with Plotly into an R Shiny app or a Flexdashboard provides an enriched user experience through interactive visualizations. With just a few lines of code and a clear understanding of how to structure your app, you can share your insights effectively.

Happy coding!