Week 6: Data Cleaning and Manipulation

📖 Reading

For Class:

• Data Cleaning
• Strings

Context:

• Chapter 5: “Designing and Structuring Data Pipelines” from The Pragmatic Programmer for Machine Learning by Marco Scutari and Mauro Malvestio
• Tidy Tools Manifesto
• Pandas vs. dplyr Reddit discussion (optional, but useful to understand why pandas is different than dplyr)
• Method chaining in Pandas (optional but useful)

Think about:

• What do you think the strengths and weaknesses are of the dplyr approach to tidy code compared to pandas?
• What do you need to focus on when writing code if you want to make your code tidy?
• Which approach to data manipulation do you prefer? Why? Is there a case where you would prefer the other program?

🎯 Check your understanding

• Reading Quiz Week 6

🥣 Prepare for class

• Work through the examples in the textbook

🌮 Tuesday

• Slides

🔨️ Thursday 🌩

• Slides

🏋️ Practice your skills

• Homework 6