⏭️ Week 02 Lab - Now What?

2023/24 Autumn Term

Author

Dr Jon Cardoso-Silva

Okay, you finished the lab. Now what? The approach of this course is to learn by doing:

Try solving the 🏡 Bonus Task on your own, if you haven’t already.
Freely explore the data set using dplyr functions. Try to come up with your questions about UK House Prices. Say, how do London prices compare to the rest of the UK? Or, which region (at any geographic level) saw the largest increase in prices over the last decade? etc.

If you are stuck, ask for help in the #help-labs channel on Slack.

Need more basic programming practice?

Reserve a couple of hours to practice the exercises from the R for Data Science book (Wickham, Çetinkaya-Rundel, and Grolemund 2023). In the 📋 Getting Ready page, I indicate the chapters that are most relevant to you.

You can also use the #general channel on Slack to ask for help with R in general.

References

Wickham, Hadley, Mine Çetinkaya-Rundel, and Garrett Grolemund. 2023. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. 2nd edition. Sebastopol, CA: O’Reilly Media, Inc. https://r4ds.hadley.nz/.