Data processing pipelines for loading, processing and visualizing data about the Knesset
Uses the datapackage pipelines and DataFlows frameworks.
Follow this method to get started quickly with exploration, processing and testing of the knesset data.
Install Docker for Windows, Mac or Linux
Pull the latest Docker image
docker pull orihoch/knesset-data-pipelines
Create a directory which will be shared between the host PC and the container:
sudo mkdir -p /opt/knesset-data-pipelines
Start the Jupyter lab server:
docker run -it -p 8888:8888 --entrypoint jupyter \
-v /opt/knesset-data-pipelines:/pipelines \
orihoch/knesset-data-pipelines lab --allow-root --ip 0.0.0.0 --no-browser \
--NotebookApp.token= --NotebookApp.custom_display_url=http://localhost:8888/
Access the server at http://localhost:8888/
Open a terminal inside the Jupyter Lab web-ui, and clone the knesset-data-pipelines project:
git clone https://github.com/hasadna/knesset-data-pipelines.git .
You should now see the project files on the left sidebar.
Access the jupyter-notebooks directory and open one of the available notebooks.
You can now add or make modifications to the notebooks, then open a pull request with your changes.
You can also modify the pipelines code from the host machine and it will be reflected in the notebook environment.
Looking to contribute? check out the Help Wanted Issues or the Noob Friendly Issues for some ideas.
Useful resources for getting acquainted: