Skip to content
R for the Rest of Us Logo

R in 3 Months (Spring 2025)

summarize()

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.

View code shown in video 
# Load Packages -----------------------------------------------------------

library(tidyverse)

# Import Data -------------------------------------------------------------

penguins <- read_csv("penguins.csv")

# summarize() -------------------------------------------------------------

# With summarize(), we can go from a complete dataset down to a summary.

# We use any of the summary functions with summarize().
# Here's how we calculate the mean bill length.

penguins |> 
  summarize(mean_bill_length = mean(bill_length_mm))

# This doesn't work! Notice what the result is. 

# We need to add na.rm = TRUE to tell R to drop NA values.

penguins |> 
  summarize(mean_bill_length = mean(bill_length_mm, na.rm = TRUE))

# Another option is to drop NA values before calling summarize().

penguins |> 
  drop_na(bill_length_mm) |> 
  summarize(mean_bill_length = mean(bill_length_mm))

# We can have multiple arguments in each usage of summarize().

penguins |> 
  summarize(mean_bill_length = mean(bill_length_mm, na.rm = TRUE),
            max_bill_depth = max(bill_depth_mm, na.rm = TRUE))

Your Turn

# Load Packages -----------------------------------------------------------

# Load the tidyverse package

library(tidyverse)

# Import Data -------------------------------------------------------------

# Download data from https://rfor.us/penguins
# Copy the data into the RStudio project
# Create a new R script file and add code to import your data

penguins <- read_csv("penguins.csv")
			
# Calculate the weight of the heaviest penguin.
# Don't forget to drop NAs!

# YOUR CODE HERE

# Calculate the minimum and maximum weight of penguins in the dataset.

# YOUR CODE HERE

Learn More

To learn more about the summarize() function, check out Chapter 3 of R for Data Science.

Have any questions? Put them below and we will help you out!

You need to be signed-in to comment on this post. Login.

Course Content

127 Lessons