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- Welcome to Fundamentals of R
- Update Everything
- Start a New Project
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Data Wrangling and Analysis
- The Tidyverse
- Pipes
- select()
- mutate()
- filter()
- summarize()
- group_by() and summarize()
- arrange()
- Create a New Data Frame
- Bring it All Together (Data Wrangling)
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Data Visualization
- The Grammar of Graphics
- Scatterplots
- Histograms
- Bar Charts
- Setting color and fill Aesthetic Properties
- Setting color and fill Scales
- Setting x and y Scales
- Adding Text to Plots
- Plot Labels
- Themes
- Facets
- Save Plots
- Bring it All Together (Data Visualization)
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Quarto
- Quarto Overview
- YAML
- Text
- Code Chunks
- Tips for Working with Quarto
- Bring It All Together (Quarto)
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Wrapping Up
- An Important Workflow Tip
Fundamentals of R
Setting x and y Scales
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This lesson is called Setting x and y Scales, part of the Fundamentals of R course. This lesson is called Setting x and y Scales, part of the Fundamentals of R course.
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View code shown in video
# Load Packages -----------------------------------------------------------
library(tidyverse)
# Import Data -------------------------------------------------------------
penguins <- read_csv("penguins.csv")
penguin_bill_length_by_island <-
penguins |>
drop_na(bill_length_mm) |>
group_by(island) |>
summarize(mean_bill_length = mean(bill_length_mm))
# Setting x and y Scales --------------------------------------------------
# Adjusting our x and y axes is similar.
# Remember that the x and y axes are considered an aesthetic properties
# in the same way color and fill are.
# We adjust our x and y axes using the scale_ set of functions.
# The exact function you use depends on your data.
# For example, you would use scale_y_continuous()
# if you have continuous data on the y axis.
# The limits argument sets the minimum and maximum values that display.
ggplot(data = penguin_bill_length_by_island,
mapping = aes(x = island,
y = mean_bill_length,
fill = island)) +
geom_col() +
scale_y_continuous(limits = c(0, 50))
# The breaks argument determines which axis labels show up.
ggplot(data = penguin_bill_length_by_island,
mapping = aes(x = island,
y = mean_bill_length,
fill = island)) +
geom_col() +
scale_y_continuous(limits = c(0, 50),
breaks = c(0, 5, 10, 15, 20, 25, 30, 35, 40, 45, 50))
# If we want to change the x axis labels, we'd need to use
# the labels argument in scale_x_discrete() because that data is categorical.
ggplot(data = penguin_bill_length_by_island,
mapping = aes(x = island,
y = mean_bill_length,
fill = island)) +
geom_col() +
scale_y_continuous(limits = c(0, 50),
breaks = c(0, 5, 10, 15, 20, 25, 30, 35, 40, 45, 50)) +
scale_x_discrete(labels = c("Biscoe Island",
"Dream Island",
"Torgersen Island"))
Your Turn
# Load Packages -----------------------------------------------------------
library(tidyverse)
# Import Data -------------------------------------------------------------
penguins <- read_csv("penguins.csv")
# Setting x and y Scales --------------------------------------------------
# Copy the code for the last bar chart you made
# Update it so that the y axis goes from 0 to 200
# YOUR CODE HERE
# Copy the code you just wrote
# Update it so that it has breaks on the y axis at 0, 40, 80, 120, and 160
# YOUR CODE HERE
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Maria Montenegro
April 8, 2024
Hello! What does the c mean in the functions? example: limits= c(0,50). Wondering if it stands for something specific that can help me remember why it goes there, it doesn't seem intuitive to me.
I am also wondering if there is a way to edit breaks that is more efficient than entering the values one by one. Is there a way to specify what in excel is called the axis' units?
David Keyes Founder
April 8, 2024
The
c()
function combines multiple values. I think of it as "combine" in my head (though I'm not sure that's what its developers would actually call it). In this case, it means combine 0 and 50 so that 0 is the low value and 50 is the high value. Does that help?