Data Dojo Würzburg 2

# Data Dojo Würzburg 2 ## July 2021 - **When:** July 8<sup>th</sup>, 2021 at 6:00pm - **Where:** Zoom - **Zoom:** - [Link](https://uni-wuerzburg.zoom.us/j/98523643600?pwd=eE9iZE95blRQNCtIcTBkcnYxak1RZz09) - Meeting ID: 985 2364 3600 - Password: 175005 - **Info:** [DataDojo Website](https://ddojo.github.io/), [Repo](https://github.com/ddojo/ddojo.github.io) ## Collaborative Tools and Workflow We have not found the ideal solution, yet. Some options are available as preview features but not stable, yet. **So this time we will likely start with plain Zoom screen sharing**, we'll switch to something different based on participant interest: probably [CoCalc](https://cocalc.com). ### Real time collaboration tools Feel free to add suggestions to this list - [VS Code](https://code.visualstudio.com/) with [Live Share Extension](https://marketplace.visualstudio.com/items?itemName=MS-vsliveshare.vsliveshare) (very promising but notebook support currently broken), languages: python, R, julia, ... <details> Unfortunately, notebook support with VS Code Live Share is an experimental feature which is currently broken (but expected to be fixed soon): https://docs.microsoft.com/en-us/visualstudio/liveshare/reference/notebooks and https://github.com/MicrosoftDocs/live-share/issues/4291. Update: on June 22, this issue was anounced as fixed. Unfortunately there is a new (unrelated) issue that prevents notebook output from being shown for guests: https://github.com/MicrosoftDocs/live-share/issues/4342. This issue is being worked on... Once this is available, it seams to be the ideal solution especially as it has a unified interface independent of the language (python/julia/R/...)  > If notebook support is fixed the [VS Code Insiders](https://code.visualstudio.com/insiders/) version would be required as long as it is experimental. This can be installed alongside regular VS Code without problems. </details> - Jupyter Lab [real time collaboration](https://github.com/jupyterlab/jupyterlab/pull/10118) (alpha feature), languages: python, R, julia, ... - Observable [multiplayer](https://observablehq.com/@observablehq/introducing-observable-collaboration) (experimental feature), languages: javascript ## Dataset [Global Power Plant Database](https://github.com/wri/global-power-plant-database/) -- suggested by Timo, thanks! Potential Questions: - Comparison of regions/countries/continents - Comparison of plant-types/energy sources - Find additional data to map MW demand vs. production (per region/country/continent) Question Pool: - Generic - What kind of information is stored in the table? - How much data is missing? - Is the dataset clean or are there any clear outliers? - Specific - Which country has the highest number of powerplants (how many, top 10)? - Which is the country with the highest power preduction (MW) per continent (how much, top 5) - What is the overall proportion of each energy source (by plant number, by MW produced) - Which is the greenest country (highest fraction of power from renewable sources)? - How does the distribution of power plants look on a worldmap (by type, interactive)? ## Participants > Please add your name to the list if you plan to come. And please remove it if you can not make it. - Markus - Timo - Stefan - ## Future Suggestions > Add your suggestions to the list and :+1: to the end of a line you are interested in ### Datasets - https://raw.githubusercontent.com/wri/global-power-plant-database/master/output_database/global_power_plant_database.csv ### Kinds of Questions - Comparison of regions/countries/continents - Comparison of plant-types/energy sources - Find additional data to map MW demand vs. production (per region/country/continent) ### Tools/Languages - R/tidyverse - python - Excel - [veezoo](https://www.veezoo.com/) - Power BI - javascript ### Skills - interactive maps - dashboards - animations ## Cross Links - [previous pad](https://hackmd.io/qUl1BnMBRCGJpGR6uuFiQA) - [next pad](https://hackmd.io/AfCChD1jTCiPY4dFztgvNw)