Explore the world of R graphics with fun and interesting plot functions! 
    Use make_LED() to create dynamic LED screens, draw interconnected rings with Olympic_rings(), 
    and make festive Chinese couplets with chunlian(). 
    Unleash your creativity and turn data into exciting visuals!

Interactively annotate 'base R graphics' plots with freehand drawing, symbols (points, lines, arrows, rectangles, circles, ellipses), and text. This is useful for teaching, for example to visually explain certain plot elements, and creating quick sketches.

A grammar of graphics framework built on 'base' graphics. It
  provides a 'bbplot' object and a '+' operator to incrementally compose plots
  from data, aesthetic mappings and layers, then render them using the base
  plotting system. The package includes common geometric layers (points, lines,
  segments, bars, histograms, boxplots and tiles), scales for color and other
  aesthetics, legends, faceting, themes, and significance annotations.

Create the density contour plot for bivariate inverse Gaussian distribution for given non negative random variables.

The 'plotcli' package provides terminal-based plotting in R.
             It supports colored scatter plots, line plots, bar plots, boxplots, 
             histograms, density plots, and more. The 'ggplotcli()' function is a 
             universal converter that renders any 'ggplot2' plot in the terminal 
             using Unicode Braille characters or ASCII. Features include support for 
             15+ geom types, faceting (facet_wrap/facet_grid), automatic theme 
             detection, legends, optimized color mapping, and multiple canvas types.

This function plots a contour line with a user-defined probability and tightness of fit.

Easily visualize and animate 'tabledap' and 'griddap' objects obtained via the 'rerddap' package in a simple one-line command,  using either base graphics or 'ggplot2' graphics. 'plotdap' handles extracting and reshaping the data,  map projections and continental outlines.  Optionally the data can be animated through time using the 'gganmiate' package.