Does someone know of Rmd or Jupyter notebooks that read and visualise the data?
If yes it could be nice to include one or two of them here. We can also add a mybinder.org link to let people run them.
Great work!
Maybe one of those here is close to what you're looking for? https://db.schoolofdata.ch/project/65
@betatim we started a project on the Renku platform for this: https://renkulab.io/projects/covid-19/covid-19-public-data
It includes other data in addition to the data from this repo. The goal is to put various data sources in one place together. The first notebook for this data is here: https://renkulab.io/projects/covid-19/covid-19-public-data/files/blob/notebooks/examples/openzh-covid-19-example.ipynb
We would be very happy if people contributed more visualizations and analysis! In particular, I would love to scale these by population data...
I just tested the Jupyter notebook, and it works really nice, and is easy to use. Good job.
@rokroskar Where do you get the population data from?
@zdavatz good question, it took me a while to find the right table. It's from the Bundesamt f眉r Statistik and I got it from a data request form that now I cannot for the life of me locate again. This is the link it was obtained from: https://www.bfs.admin.ch/bfsstatic/dam/assets/9635943/master
However, I just now found a better document: https://www.bfs.admin.ch/bfs/de/home/statistiken/bevoelkerung/stand-entwicklung/raeumliche-verteilung.assetdetail.9486060.html
All the available data that I could find is from 2018 unfortunately... if you have a better source please let me know!
Ah I just realized those don't have the same data - the first one is reported on 31.12.2018 the second one on 1.1.2018. 馃し鈥嶁檪
See #246 for a Rmd document
The Rmd is now at #264
@zdavatz or anyone else that is interested in population numbers - I recently started pulling them out of Wikidata (as per the suggestion of someone commenting in the youtube channel during the livestream of the hackathon of all places). You can play with the query here.
@rokroskar great, Thank you!