In R, you can perform data visualization using a variety of packages that provide functions for creating different types of plots and charts. Some of the key packages that facilitate creating various types of plots and charts in R include:

1. ggplot2: This is one of the most widely used packages for creating static and interactive visualizations. It provides a flexible system for creating a wide range of graphics.

2. plotly: plotly is a package that allows for interactive web-based visualization. It provides functions for creating various types of interactive charts, such as scatter plots, bar charts, and line plots.

3. ggvis: ggvis is a package for creating interactive web-based graphics built on top of ggplot2. It provides a grammar of graphics to create declarative interactive plots.

4. lattice: The lattice package provides a powerful and elegant high-level data visualization system.

5. rCharts: rCharts is a package that provides an interface to create, customize, and publish interactive JavaScript visualizations. It supports various JavaScript charting libraries like NVD3, Rickshaw, and Highcharts.

6. dygraphs: dygraphs is a package for creating interactive time series charting libraries. It provides functions for creating and customizing interactive time series plots.

By utilizing these packages and others, R users can easily create a wide variety of static and interactive visualizations to effectively communicate their data analysis results.