changed 3 years ago

Data Dojo Würzburg 11

DataDojo@Lunch

April 2022

  • When: Thursday, April 14th, 2022 at 12:00pm
  • Where: Zoom
  • Zoom:
    • Link
    • Meeting ID: 681 8517 5809
    • Password: 853667
  • 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 (R or julia)
  • Robin R (R/julia)
  • Andi (Julia)

Dataset

Annual German weather data. Compiled from the Climate Data Center. We have a table like this:

station_id year temperature precipitation sunshine station_name lat long altitude
5703 2020 9.7 527.3 5.1 Würzburg 49.8 9.96 268

for more than 5000 weather stations across Germany and a timespan of over 100 years (for some stations and measurements).

Specific task for today

30 Day Chart Challenge Special

Create a chart in the category "Relationships - 3-dimensional"

The stations are already 3D (latitude, longitude, altitude). But we want to plot some relationships of the 3D data regarding temperature, precipitation and sunshine duration (maybe over time).

Task: create a chart with the provided data set, that matches the category: Relationships, 3-dimensional.

Question Pool:

  • Generic
    • What kind of information is stored in the table(s)?
    • How much data is missing?
    • Is the dataset clean or are there any clear outliers?
    • How can the different datasets be combined?
    • How to visualize the results in a suitable way?
  • Specific

    • Add your own questions
  • Further Ideas

    • 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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Data Sets

Tools/Languages

Skills

  • interactive maps
  • dashboards
  • animations

Data Sources

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

Select a repo