Data Dojo Würzburg 15

DataDojo@Lunch - live

August 2022

• When: Thursday, August 18^th, 2022 at 11:30am until 1:00pm (90 minutes)
• Where: CCTB
• Info: DataDojo Website, Repo

Participants

Please add your name to the list (click the pen icon at the top left to edit) if you plan to come. And please remove it if you can not make it. Feel free to add your preferred tool or programming language.

• Markus (python)
• Simon
• » Add your name here «

Dataset

Machine Learning Series

We are doing a series of Data Dojos on machine learning. The task is to classify tree species by their traits (e.g. height, stem diameter, geographic location).

The full dataset contains measurements for almost 500k individual trees from more than 5k species.

In the first dojo of the series, we filtered the full set to 3 species with reasonable overlap (Fagus sylvatica, Pinus pinaster, Quercus ilex). Now we want to try different Machine Learning methods to classify tree species from traits.

Session 1 - Basics of Supervised Learning

Question Pool:

• Generic
  • What is supervised machine learning?
  • How to evaluate the performance of our model(s)?
  • What kinds of (classical) models exist?
• Specific
  • Create and evaluate a baseline model
  • Play around with KNN in scikit-learn
  • Add your own questions
• Further Ideas
  • TBD
  • Add your own ideas

Collaborative Tools and Workflow

For Notebooks (R, python, julia, js, …) with real time collaboration CoCalc seems to be the best option right now. It worked great the last couple of times so we'll stick to it for now. You need to register an account there (it is free).

Future Suggestions

Add your suggestions to the list and

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to the end of a line you are interested in

Data Sets

• Tree Sizes
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• All Birds
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• Results of the Bundestagswahl 2021
• Weather data throughout Germany over time (incl. temperature, precipitation, …): https://www.dwd.de/DE/leistungen/cdc_portal/cdc_portal.html
• German Mikrozensus
• Kaggle Titanic or Tabular Playground or Meta Kaggle
• World Trade Data (Open Trade Statistics)
• Open Citation Data
• Top 100 charts + Audio Features
• Emoji Usage
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• Observable Curated Datasets

Tools/Languages

• R/tidyverse
• python
• Power BI
• Tableau
• KNIME
• javascript
• julia
• visidata

Skills

• interactive maps
• dashboards
• animations

Data Sources

all data types are welcome, including tables, images, videos, sounds, DNA, …

• TidyTuesday
• Our World in Data (R package: owidR), Sustainable Development Goals
• Open Data Initiatives (Würzburg, Germany, Statistisches Bundesamt, Europe, APIs)
• Data is plural
• Awesome Public Datasets
• Kaggle Datasets or Competitions, e.g. SLICED
• tsibbledata: Time Series Datasets
• R-text-data: Text Datasets, ready to use in R
• data.world
• Statista - the University of Würzburg has a campus license
• Open Legal Data
• Bundestag Data (e.g. poll results, deputies, wahl-o-mat, inspirational blog post)
• Deutsche Digitale Bibliothek (API, old newspapers from Germany)
• Earth Observation: Satellite Image Time Series
• Machine Learning Datasets
• Internation (Student) Assessment Data (TIMSS, PIRLS, PISA, …)
• (Medical) Imaging Datasets, MedMNIST
• Inspirational Notebooks on Observable
• Ski resort statistics
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Cross Links

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