mutate()
This lesson is called mutate(), part of the Fundamentals of R course. This lesson is called mutate(), part of the Fundamentals of R course.
Transcript
Click on the transcript to go to that point in the video. Please note that transcripts are auto generated and may contain minor inaccuracies.
Loading transcript...
View code shown in video
# Load Packages -----------------------------------------------------------
library(tidyverse)
# Import Data -------------------------------------------------------------
penguins <- read_csv("penguins.csv")
# mutate() ----------------------------------------------------------------
# We use mutate() we make new variables or change existing ones.
# We can use mutate() in three ways.
# 1. Create a new variable with a specific value:
penguins |>
mutate(continent = "Antarctica")
# 2. Create a new variable based on other variables:
penguins |>
mutate(body_mass_lbs = body_mass_g / 453.6)
# 3. Change an existing variable
penguins |>
mutate(bill_length_mm = bill_length_mm + 1)
Your Turn
# Load Packages -----------------------------------------------------------
# Load the tidyverse package
library(tidyverse)
# Import Data -------------------------------------------------------------
penguins <- read_csv("penguins.csv")
# mutate() ----------------------------------------------------------------
# Use mutate() to create a variable called observation_station and set its value to "Palmer"
# YOUR CODE HERE
# 2. Create a new variable based on other variables:
# YOUR CODE HERE
# 3. Change an existing variable
# YOUR CODE HERE
Learn More
To learn more about the mutate() 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
You need to be signed-in to comment on this post. Login.