Unverified Commit e25e47ff authored by Paul Rougieux's avatar Paul Rougieux
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Reorganise introductory section

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Changes for README.md: 13 added lines, 8 removed lines.
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@@ -12,6 +12,15 @@ https://aidaho-tinkering-club.uni-hohenheim.de/
- 09.12.2026 14:15 Computer Raum 2
- 20.01.2027 14:15 Computer Raum 2


# Introduction

Analyse Open Data is a hands on meeting where researchers analyse data with AI
agents. We use coding harnesses such as Claude code, OpenAI Codex, cursor, Open code, Pi
or others. We are all learning. This is a workshop to practice data science skills
transferable between scientific domains.


# Audience

This workshop is specifically welcoming both:
@@ -28,14 +37,9 @@ We encourage interactions between curious researchers and expert data analysts
so that we all learn from each other through osmosis.


# Introduction

Analyse Open Data is a hands on meeting where researchers analyse data with AI
agents. We use coding harnesses such as Claude code, OpenAI Codex, cursor, Open code, Pi
or others. We are all learning. This is a workshop to practice data science skills
transferable between scientific domains.
# Agenda

- The 90 minutes workshop chooses and analyses one dataset in 4 phases:
The 90 minutes workshop chooses and analyses one dataset in 4 phases:

1. **Choice Phase** Round of introduction 3 minutes per project (with
   timer). The research question should be in the context of one or two
@@ -56,7 +60,8 @@ transferable between scientific domains.
4. **Wrap-up Phase** 1 minute per participant. What failed, what went well,
   what did you learn, what can we improve next time.

- Throughout this hands on workshop we could experience some of the following:
Throughout this hands on workshop we will train our skills on some of the following
methods:

- visualizying the dataset of the day with histograms, scatter plots, line
  charts, area charts, bar charts, maps, trees, networks and other graphic