How to Install plotly in Anaconda for R

The Plotly is a powerful and versatile graphing library that allows users to create interactive, publication, and quality graphs. Plotly is a popular library for building interactive graphs and visualizations in R Programming Language. When using Anaconda, a distribution of Python and R for scientific computing, you can easily manage and install libraries. This article provides a step-by-step guide to installing Plotly for R in an Anaconda environment.

Install Plotly in Anaconda

Here we explain how to install Plotly in Anaconda with related examples for your reference follow the steps.

Step 1: Open Anaconda Prompt

First, we need to open the Anaconda Prompt. By searching Anaconda Prompt in our operating System below we provide an output image for your reference.

Step 2: Activate the Conda Environment

Activate the new environment using the following command:

conda activate r_env

Step 3: Install Plotly

Now install Plotly library by using below conda command. Below we provide that command for your reference.

conda install -c conda-forge r-plotly

Step 4: Verify Installation

Once Plotly library successfully installed in our system. Now Its time to verify the installation. There is a command in conda to check the Plotly package. For this use below command.

conda list plotly

Step 5: Test Plotly

Now to ensure Plotly is working correctly, We can run a simple test script for your reference. Open your python shell and write below script and run It.

# Install and load the plotly package if you haven't already
library(plotly)

# Load the iris dataset
df <- datasets::iris

# Create a scatter plot
fig <- plot_ly(df, x = ~Sepal.Width, y = ~Sepal.Length, color = ~Species, 
               type = 'scatter', mode = 'markers')

# Show the plot
fig

Output:

Conclusion

By following these steps, you can install Plotly for R in an Anaconda environment and start creating interactive visualizations. Using Conda to manage your environments and dependencies helps ensure that your projects remain organized and reproducible. Whether you choose to install Plotly via Conda or directly within R, the process is straightforward and enables you to take full advantage of Plotly's powerful visualization capabilities.