⏭️ Week 02 Lab - Now What?

2023/24 Winter Term

Author

Dr. Jon Cardoso-Silva & Dr. Ghita Berrada

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.
Have a look at the ✅ Week 02 Lab - Solutions (once you’ve tried out the lab questions on your own!) and see if you understand everything about them.

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

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). The 📋 Getting Ready page features 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 or even better the #help-r channel.

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/.