Skip to content

Going Deeper with R

Overview of Tidy Data

This lesson is called Overview of Tidy Data, part of the Going Deeper with R course. This lesson is called Overview of Tidy Data, part of the Going Deeper with 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.

Your Turn

Take a look at your data and see which principles of tidy data it violates

Learn More

The illustrated blog post Tidy data for efficiency, reproducibility, and collaboration by Julie Lowndes and Allison Horst is a great way to start learning about tidy data.

Chapter 5 of the book R for Data Science also has a nice overview of tidy data.

There is also an in-depth vignette in the tidyr package documentation about tidy data.

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

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

gene trevino • January 9, 2025

I dont undestand what this line does [ pivot_longer(cols = -c(district_institution_id, school_institution_id) ]

Thanks

David Keyes Founder • January 14, 2025

I don't see that code in this lesson. Can you point me to where exactly you are seeing it?

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