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Showing content from https://github.com/davidchall/ggip below:

davidchall/ggip: Data visualization for IP addresses and networks

ggip is a {ggplot2} extension for visualizing IP addresses and networks stored in {ipaddress} vectors.

Here are some of the key features:

• IP data mapped to 2D plane by a unified coordinate system
• Compatible with existing ggplot2 layers
• Custom IP-specific layers for common use cases
• Full support for both IPv4 and IPv6 address spaces

You can install the released version of ggip from CRAN with:

Or you can install the development version from GitHub:

# install.packages("remotes")
remotes::install_github("davidchall/ggip")

Plotting with {ggip} follows most of the conventions set by {ggplot2}. A major difference is that coord_ip() is required to map IP data to the 2D grid (addresses to points and networks to rectangles). Learn more in vignette("ggip").

Here’s a quick showcase of what’s possible:

library(tidyverse)
library(ggfittext)
library(ggip)

ggplot(ip_data) +
  stat_summary_address(aes(ip = address)) +
  geom_hilbert_outline(color = "grey80") +
  geom_fit_text(
    aes(
      xmin = network$xmin, xmax = network$xmax,
      ymin = network$ymin, ymax = network$ymax,
      label = label
    ),
    data = iana_ipv4 %>% filter(allocation == "Reserved"),
    color = "#fdc086", grow = TRUE
  ) +
  scale_fill_viridis_c(name = NULL, trans = "log2", na.value = "black") +
  coord_ip(pixel_prefix = 20) +
  theme_ip_dark()
#> Warning: Transformation introduced infinite values in discrete y-axis

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