Day 6: Tidy data and making it

Tidy data is one of the most important concepts for any data scientist. It provides predictable organization for data that makes coding, analysis, and collaboration easier. Tidy data satisfies the following conditions:

• Each observation is in a row
• Each variable in a column
• Each value is in a single cell

In Day 6, we’ll learn about tidy data structure, common ways that data are untidy, and useful skills for tidying untidy data.

Day 6 lecture slides:

• Day 6 morning lecture
• Day 6 afternoon lecture

Day 6 lab materials:

• Day 6 morning lab
• Day 6 afternoon lab

Flex sessions:

• Morning flex: Talking tidy data (group discussion & presentations)
• Afternoon flex: Open (optional Goleta Beach walk)

Activities:

• Talking tidy: talking about data with other humans
• Data tidying challenge tasks

Efficiency tips (inspired by Dr. Julia Lowndes)

Resources

Reading:

• Lowndes & Horst Tidy Data blog
• Wickham Tidy Data
• Grolemund & Wickham R for Data Science

Coding:

Allison note TODO: Relate tidy data to relational databases to prep them for Frew’s class