Respuesta :
To make the points in the scatterplot easier to find, the geom jitter() function method first builds a scatterplot and then adds a little amount of random noise to each point in the plot.
A scatterplot is produced using the ggplot2 function in R called geom jitter(). Each point in the plot receives a small bit of random noise to make them simpler to locate. The link between two variables in a dataset is visualised using this function.
The geom jitter() function can help to make data points easier to differentiate in a scatterplot by adding a small amount of random noise to each point. This is particularly useful when there is a lot of overlap between data points in the plot. The amount of jitter can be adjusted to ensure that the data points are still distinguishable, while still providing a more accurate representation of the data. Additionally, it can be used to adjust the size, color, and shape of the data points, allowing for a more customized visualization.
# Example of geom_jitter()
# Load ggplot2
library(ggplot2)
# Create data
x <- c(1,2,3,4,5,6,7,8,9,10)
y <- c(4,5,6,7,8,9,10,11,12,13)
# Plot data
ggplot(data = data.frame(x,y), aes(x, y)) +
geom_jitter()
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