ggrepel provides geoms for ggplot2 to repel overlapping text labels:
Text labels repel away from each other, away from data points, and away from edges of the plotting area.
library(ggrepel) ggplot(mtcars, aes(wt, mpg, label = rownames(mtcars))) + geom_text_repel() + geom_point(color = 'red') + theme_classic(base_size = 16)
# The easiest way to get ggrepel is to install it from CRAN: install.packages("ggrepel") # Or get the the development version from GitHub: # install.packages("devtools") devtools::install_github("slowkow/ggrepel") # Or use the install-github.me service source("https://install-github.me/slowkow/ggrepel")
See the vignette for the code behind these examples:
Please submit an issue to report bugs or ask questions.
Please contribute bug fixes or new features with a pull request to this repository.
Sebastian Theophil, Arno Schödl
This paper presents an efficient algorithm for a new variation of the point feature labeling problem. The goal is to position the largest number of point labels such that they do not intersect each other or their points. First we present an algorithm using a greedy algorithm with limited lookahead. We then present an algorithm that iteratively regroups labels, calling the first algorithm on each group, thereby identifying a close to optimal labeling order. The presented algorithm is being used in a commercial product to label charts, and our evaluation shows that it produces results far superior to those of other labeling algorithms.
This might be a good start for a revision of ggrepel.
A D3 plug-in for automatic label placement using simulated annealing
A D3 layout that places labels avoiding overlaps, with strategies including simulated annealing, greedy and a strategy that removes overlapping labels.
A Voronoi tessellation can assist in labeling scatterplots. The area of the Voronoi cell associated with each point determines whether the point is labeled: points with larger cells tend to have room to accommodate labels.
A small library for automatically adjusting text position in matplotlib plots to minimize overlaps.
An extensible framework for automatically placing direct labels onto multicolor 'lattice' or 'ggplot2' plots. Label positions are described using Positioning Methods which can be re-used across several different plots. There are heuristics for examining "trellis" and "ggplot" objects and inferring an appropriate Positioning Method.
Pretty word clouds.
wordcloud package implements a spiraling algorithm to prevent text
labels from overlapping each other.
Force field simulation of interaction of set of points. Very useful for placing text labels on graphs, such as scatterplots.
I found that functions in the
FField package were not ideal for repelling
overlapping rectangles, so I wrote my own.
See this gist for examples of how to use the