Based Plot: Scatter Plot

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📊 Scatter Plot Cheat Sheet (R Base)

Command	Purpose
plot(x, y)	Basic scatter plot of two variables
main = "Title"	Add main title
xlab = "X-axis", ylab = "Y-axis"	Axis labels
pch	Point shape (0 = square, 1 = circle, 2 = triangle, …)
col	Point border color
bg	Point fill color (only for pch = 21–25)
cex	Point size (default = 1)
legend(position, legend, col, pch, title)	Add legend to explain groups
text(x, y, labels, pos, col)	Annotate points with text
abline(lm(y ~ x, data=df), col)	Add linear regression line
lines(lowess(x, y), col)	Add smooth (non-linear) line
data(iris), data(cars), data(gapminder)	Example datasets for plotting
dplyr::mutate() with if_else() or case_when()	Conditional coloring or symbols
RColorBrewer::display.brewer.all()	Show all color palettes
brewer.pal(n, "Accent")	Extract n colors from palette
par(bg="lightblue")	Change background color
rect(..., col="gray")	Fill plot box background
grid(lty=1, col="white")	Add grid lines

Quick Tips:

• Use pch and col to differentiate groups.

• Combine abline() and lines(lowess()) to show both linear and non-linear fits.

• Use RColorBrewer for professional, colorblind-friendly palettes.

• Control background and grid with par(), rect(), and grid().