Data Dojo Würzburg 35

DataDojo@Lunch - live

October 2025

  • When: Wednesday, October 8th, 2025 at 11:00am until 12:30pm (90 minutes)
  • Where: CCTB or online (ask for hybrid setup and link)
  • Info: DataDojo Website, Repo

Towards DataDojo 2.0

In the CCTB general assembly in April 2025, we decided to make some changes to the DataDojo to make it more valuable and fun. This is what we currently try:

  • everyone reads the announced two-page Points of Significance paper before the event
  • we meet at 11 in the large seminar room (regular seminar time) and discuss the content of the paper for roughly 15 minutes
  • then we split into pairs - each pair works together on one machine to reproduce one of the figures for roughly 60 minutes - I will provide the required data
  • then we meet again and every pair shares their result and lessons learned. This takes another 15 minutes

So, as before, it will be hands-on and 90 minutes, so feel free to bring your lunch. But it will be more focused and with smaller groups.

Assign pairs

Currently a dumb version (does not take experience level and language preferences into account).

"Caro Sascha Axel Joana Felix Jannis Magdalena Markus"
⍉⬚""↯⊟2⌈÷2⊸⧻°⍆⊜□⊸≠@ 

Dataset

PoS - Significance, P values and t-tests

Please read Significance, P values and t-tests before the dojo.

Comprehension Questions

  • True or false:
    • TODO

Task

Reproduce Figure X

TODO

Getting started

Further ideas

  • reproduce any of the other figures
  • make your figures interactive
  • add explanatory text

Collaborative Tools and Workflow

Use your own device or CoCalc. Free choice of programming language, libraries, and tools.

Future Suggestions

Feel free to add suggestions to the list.

Points of Significance

Go through the papers of the Points of Significance series.

Points of View

Go through the papers of the Points of View series.

Medical Statistics

The Medical Statistics series consists of 14 reviews in the journal BMC Critical Care

Book club

Go through chapters of one of these books

Coding Dojo Katas

With a stronger focus on coding rather than data analysis, there is a nice collection of Katas