There are various packages that extend the visualization system in base R. Among these, there are packages which contain a number of handy additional functions (sometimes for a specialist task, like network-visualization), but also systems which a radically different design philosophy.

This is a brief list of excellent resources to learn more:

• Great book by Rob Kabacoff, both basic and advanced with examples & code: https://rkabacoff.github.io/datavis/
• R graphics cookbook by Winston Chang, with effective recipes: https://r-graphics.org/
• Graphical overview with example figures and code ordered by graph type: https://www.r-graph-gallery.com/
• Compact tutorial, presenting both the lattice and ggplot2 systems: see e.g. https://www.datavis.ca/courses/RGraphics/
• Many types of interactive graphs, with plotly: https://plotly.com/r/; or r2d3: https://rstudio.github.io/r2d3/
• 3D interactive graphs: https://cran.r-project.org/web/packages/rgl/vignettes/rgl.html
• Visualizing geodata: https://geocompr.robinlovelace.net/
• Visualizing networks: https://kateto.net/network-visualization