3 Simple Tips to Avoid Overplotting in R

This is the very first YouTube Shorts video that was ever published on Statistics Globe! :) It would be amazing if you could let me know your feedback so that I can incorporate it in future videos. This video explains how to avoid overplotting in R programming using different functions and arguments of the ggplot2 library. Which topics would you like to see next?

R code of this video:

set.seed(75357)
data ＜- data.frame(
x = c(rnorm(1000),
rnorm(1000, 5, 2),
rnorm(1000, 1, 3)),
y = c(rnorm(1000),
rnorm(1000, 1, 4),
rnorm(1000, 2, 2)),
group = rep(LETTERS[1:3],
each = 1000))

library("ggplot2")

ggplot(data, aes(x, y)) +
geom_point()


ggplot(data, aes(x, y)) +
geom_point(size = 0.01)


ggplot(data, aes(x, y)) +
geom_point(alpha = 0.1)


ggplot(data, aes(x, y,
col = group)) +
geom_point()


ggplot(data, aes(x, y,
col = group)) +
geom_point(size = 0.05,
alpha = 0.2)

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