Setting color and fill Aesthetic Properties
This lesson is called Setting color and fill Aesthetic Properties, part of the Fundamentals of R course. This lesson is called Setting color and fill Aesthetic Properties, part of the Fundamentals of R course.
Transcript
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# Load Packages -----------------------------------------------------------
library(tidyverse)
# Import Data -------------------------------------------------------------
penguins <- read_csv("penguins.csv")
# Setting color and fill Aesthetic Properties -----------------------------
# We add the color argument within aes() so that
# the data in that variable is mapped to those aesthetic properties.
# With this code, the island variable is mapped to the aesthetic property color
ggplot(data = penguins,
mapping = aes(x = bill_length_mm,
y = bill_depth_mm,
color = island)) +
geom_point()
# Let's try the same thing with our bar chart
ggplot(data = penguin_bill_length_by_island,
mapping = aes(x = island,
y = mean_bill_length,
color = island)) +
geom_col()
# That didn't work! Let's try fill instead.
ggplot(data = penguin_bill_length_by_island,
mapping = aes(x = island,
y = mean_bill_length,
fill = island)) +
geom_col()
Your Turn
# Load Packages -----------------------------------------------------------
library(tidyverse)
# Import Data -------------------------------------------------------------
penguins <- read_csv("penguins.csv")
# Setting color and fill Aesthetic Properties -----------------------------
# Take your graph that uses geom_col() and make the inside of each bar a different color.
# YOUR CODE HERE
# Make your scatterplot from before with flipper length on the x axis and body mass on the y axis
# but make the points different colors based on the island variable
# YOUR CODE HERELearn More
You may want to review Chapter 11 from R for Data Science , which includes a section on mapping data to color and fill aesthetics. Chapter 2 of Fundamentals of Data Visualization has a similar discussion. So does Chapter 3 of Data Visualization: A Practical Introduction.
Chapter 11 of ggplot2: Elegant Graphics for Data Analysis is also a good place to learn about color and fill scales.
Have any questions? Put them below and we will help you out!
Course Content
34 Lessons
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