Skip to content

Going Deeper with R (RStudio)

Tidy Data Rule #2: Every Row is an Observation

This lesson is called Tidy Data Rule #2: Every Row is an Observation, part of the Going Deeper with R (RStudio) course. This lesson is called Tidy Data Rule #2: Every Row is an Observation, part of the Going Deeper with R (RStudio) 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.

View code shown in video

activities_survey |> 
  separate_longer_delim(cols = activities,
                        delim = ", ")

Your Turn

Run the following code to view the built-in gss_cat data frame.

library(tidyverse)

gss_cat |> 
  view()

Then, write code to count the number of unique responses in the partyid variable.

You’ll need to use the separate_longer_delim() and count() functions to do this.

Learn More

This lesson from the R for Social Scientists course materials covers separate_longer_delim().

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

44 Lessons

Downloading and Importing Data

Overview of Tidy Data

Tidy Data Rule #1: Every Column is a Variable

Tidy Data Rule #3: Every Cell is a Single Value

Tidy Data Rule #2: Every Row is an Observation

Changing Variable Types

Dealing with Missing Data

Advanced Summarizing

Binding Data Frames

Bring It All Together (Advanced Data Wrangling)

Best Practices in Data Visualization

Pipe Data into ggplot

Reorder Plots to Highlight Findings

Use Color to Highlight Findings

Add Descriptive Labels to Your Plots

Use Titles to Highlight Findings

Use Annotations to Explain

Create a Custom Theme

Customize Your Fonts

Try New Plot Types

Bring it All Together (Advanced Data Visualization)

Advanced Markdown

Advanced YAML and Code Chunk Options

Making Your Reports Shine: Word Edition

Making Your Reports Shine: PDF Edition

Making Your Reports Shine: HTML Edition

Publishing Your Work

Quarto Extensions

Parameterized Reporting, Part 1

Parameterized Reporting, Part 2

Parameterized Reporting, Part 3

Wrapping up Going Deeper with R