Bring your own data

Day 4 - Introduction to Data Analysis with R

Selina Baldauf

Freie Universität Berlin - Theoretical Ecology

October 14, 2025

Organization

Schedule of today

  • Now - 14.30: Work on the data set(s)

    • Take break(s) as best fits your needs
  • 14.30 - 15: Short feedback round

    • What did you find out about your data set? Plots, summaries, …
    • Which methods did you use?
    • Did you learn something new?
    • Was there something you struggled with?
  • 15-16: Feedback, conclusion

Data set 1: What makes a good wine?

see here

Frederik Vandaele - originally posted to Flickr as Château Pétrus, CC BY 2.0, https://commons.wikimedia.org/w/index.php?curid=5145286

Data set 2: Paralympic games from 1980-2016

see here

Data set 4: Ice cover and temperature

see here

Image by LTER under CC BY-SA 4.0

Data set 5: RNAseq data

see here

New methods: Read multiple files at once

  • If you have multiple files with data you can
    • Read them all in at the same time
    • Combine them into one tibble

New methods: Correlation plots

New methods: PCAS

How it works

  • Start working on your data set or select one of mine
  • You can also do other things like
    • Look at the example scripts to learn new techniques
    • Try AI tools
    • Try Positron
    • Try Quarto
  • If you are stuck
    • Don’t forget the function help (?)
    • Come to the General meeting or write me in the chat
    • Ask Google or AI tools
      • Hint: Set your RStudio error messages to English: Sys.setenv(LANGUAGE='en') in the console

Now you

Working with real data

  • Meet in your group (if you want)
  • Work on your data set
  • Take breaks as you need and be back at 2.30 p.m.

Sharing

In 1-2 mins:

  • What was the highlight of your analysis?

    • Your favorite plot
    • Some cool code
    • A problem that you finally solved
    • Something new you learned
  • What was difficult?

  • If you want: Share a screenshot in the chat or share your screen

Feedback

Please take 10 mins to complete the feedback survey for the Graduate center (don’t use Internet Explorer)

https://votingo.cedis.fu-berlin.de/PCNLP3

Feedback

  • Any other feedback or comments from your side?

Conclusion

We learned a lot of stuff!

Conclusion

How to continue from here?

Artwork by Allison Horst

The End

Thanks a lot for participating!

Artwork by Allison Horst