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Rok Roškar authoredc5f6b48d
Covid-19 Public Data Collaboration Project
This project aggregates data from various public sources to better understand the spread and effect of COVID-19. The goal is to provide a central place where data, analysis, and discussion can be conducted and shared by a global community struggling to make sense of the current public health emergency.
The project includes simple tools that make it very easy to work with the heterogeneous case data from various sources using common code. For a simple example, have a look at the Global and Regional COVID-19 summary notebook.
For each data source, we provide a summary notebook with interactive figures that can be used as starting points for further exploration:
- Summary of global data from from JHU CSSE
- Global data from from ECDC
- U.S. state-level data from covidtracking.com
- U.S. county-level data from the New York Times
- Regional data for Italy from italian Civil Protection
- Switzerland cantonal data collected by the Zürich Statistical Office
Case data is complemented by population figures from various sources. A summary of all the data can be found in the table below.
Getting started with the project
The project intends provides a place for easy access to the relevant data for the purposes of analysis and collaboration. It is envisioned to be hands-on; with a few clicks you can be analysing the latest data from around the globe. We hope that this will make it easier for domain specialists to team up with analysts and data scientists to tackle the open questions together.
The simplest way to start is to simply browse the available notebooks and take a look at the provided visualizations. If you would like something to be changed or to include some different data, feel free to start a discussion!
When you are ready to get your hands on the data, start by making an account or logging in on https://renkulab.io and forking the project. Then, start an interactive environment and use the hosted JupyterLab or RStudio to explore the data.