How to Make a Scatterplot in R

Scatterplots display two numeric variables as a field of points. A point is drawn for each record at the x and y coordinates determined by the variables assigned to the x and y axes. Scatterplots provide a visual depiction of the relationship between two variables data, which can help reveal linear and non-linear patterns.

#dataviz #ggplot2 #Rprogramming

Code used in this clip:

# Load ggplot2 and data
library(tidyverse)

data ＜- diamonds
colors ＜- c("#FFFFFF","#F5FCC2","#E0ED87","#CCDE57",
"#B3C732","#94A813","#718200")

# Scatterplot in base R
plot(x = diamonds$carat, y = diamonds$price)

# Scatterplot in ggplot2 R
data %＞% ggplot(aes(x = carat, y = price)) +
geom_point()

# Scatterplot with color added
data %＞% ggplot(aes(x = carat, y = price)) +
geom_point(aes(color = color)) +
scale_color_manual(values = colors)


Code Clips are basic code explanations in 3 minutes or less. They are intended to be short reference guides that provide quick breakdowns and copy/paste access to code needed to accomplish common data science tasks. Think Stack Overflow with a video explanation.


* Note: YouTube does not allow greater than or less than symbols in the text description, so the code above may not be exactly the same as the code shown in the video! For R that means I may use = for assignment and the special Unicode large ＜ and ＞ symbols in place of the standard sized ones for dplyr pipes and comparisons. These special symbols should work as expected for R code on Windows, but may need to be replaced with standard greater than and less than symbols for other operating systems.