There are the following packages of visualization in R:
- Plotly
- ggplot2
- tidyquant
- geofacet
- googleVis
- ShinyIn R, there are several packages dedicated to data visualization. Here are some popular ones:ggplot2: A powerful and flexible package for creating static, animated, and interactive visualizations.
plotly: Enables the creation of interactive and dynamic visualizations. It supports a wide range of chart types.
lattice: Provides a powerful and flexible system for creating conditioned plots.
base R plotting functions: R also has a set of basic plotting functions that come with the base installation, such as plot(), hist(), boxplot(), etc.
ggvis: An interactive grammar of graphics for creating dynamic, web-based visualizations.
rCharts: A wrapper for various JavaScript charting libraries, allowing you to create interactive visualizations.
Shiny: While not a visualization package per se, Shiny is a web application framework for R that can be used to create interactive dashboards and visualizations.
Remember to install and load the specific packages you need before using them in your R script or environment. For example:
# Install and load ggplot2
install.packages(“ggplot2”)
library(ggplot2)# Install and load plotly
install.packages(“plotly”)
library(plotly)
You can explore these packages based on your specific visualization needs. Each package has its strengths and weaknesses, so choosing the right one depends on your requirements and preferences.