arrange()
This lesson is called arrange(), part of the Fundamentals of R course. This lesson is called arrange(), part of the Fundamentals of R course.
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# Load Packages -----------------------------------------------------------
library(tidyverse)
# Import Data -------------------------------------------------------------
penguins <-
read_csv("penguins.csv")
# arrange() ---------------------------------------------------------------
# With arrange(), we can reorder rows in a data frame based on the values
# of one or more variables.
# R arranges in ascending order by default.
penguins |>
arrange(bill_length_mm)
penguins |>
arrange(species, island) |>
view()
# We can also arrange in descending order using desc().
penguins |>
arrange(desc(bill_length_mm))
# We often use arrange() at the end of pipelines to display things in order.
penguins |>
group_by(island, year) |>
summarize(mean_bill_length = mean(bill_length_mm, na.rm = TRUE)) |>
arrange(desc(mean_bill_length))
Your Turn
# Load Packages -----------------------------------------------------------
# Load the tidyverse package
library(tidyverse)
# Import Data -------------------------------------------------------------
penguins <- read_csv("penguins.csv")
# arrange() ---------------------------------------------------------------
# Use arrange() to display the penguins data frame in order by body mass
# YOUR CODE HERE
# Now display the penguins data in descending order by body mass
# YOUR CODE HERE
# Create a pipeline that does the following:
# 1. Filters to only keep penguins on Biscoe island
# 2. Drops any rows with NA values for the body_mass_g or sex variables
# 3. Calculates the average body mass by sex
# 4. Displays the result in descending order by average body mass
# YOUR CODE HERE
Learn More
To learn more about the arrange() function, check out Chapter 3 of R for Data Science.
Have any questions? Put them below and we will help you out!
Course Content
33 Lessons
1
The Grammar of Graphics
04:36
2
Scatterplots
03:40
3
Histograms
04:51
4
Bar Charts
04:53
5
Setting color and fill Aesthetic Properties
02:43
6
Setting color and fill Scales
05:12
7
Setting x and y Scales
02:58
8
Adding Text to Plots
05:50
9
Plot Labels
02:59
10
Themes
02:10
11
Facets
02:56
12
Save Plots
02:49
13
Bring it All Together (Data Visualization)
06:14
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