This guide illustrates how to visualize the range of available point shapes in the `ggplot2` package of R. By creating a data frame with a sequence of shape numbers and plotting them using `geom_point()`, users can easily identify and select suitable shapes for their data visualization needs. The resulting plot provides a clear representation of each shape, labeled with its respective shape number, allowing for quick and informed decisions in chart design.

ggplot is flexible, integrates well with igraph, and provides a consistent grammar for building plots, making it an ideal tool for creating informative, visually appealing, and reproducible visualizations of your network data. Who sad this?

Venn plot is a visualization tool to display overlapping or unique sets between two or more groups. In R, the 'VennDiagram' package provides an easy-to-use interface to create Venn plots with customizable colors, labels, and shapes. Who sad this?

ggbio, a powerful package to plot all kinds of sequence plot

R: ggplot, ggkaboom, barplot

R: ggplot, Bar plot

Plot the density distribution of your data by ggplot

map function from ggplot

Some tricks for ggplot. Have fun

Rardar plot for ggplot. It's not the best resolution, but it works in ggplot!

R: ggplot, ggplot, tufteboxplot, stylized boxplot

R: ggplot, ggplot, Violin plot

One of the best resolution to draw trees in R

R: ggplot, ggplot, geom_tile

Plot KEGG enrichment with ggplot