https://github.com/zazuko/notebooks
Exploring Linked Data
https://github.com/zazuko/notebooks
Last synced: 6 months ago
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Exploring Linked Data
- Host: GitHub
- URL: https://github.com/zazuko/notebooks
- Owner: zazuko
- Created: 2020-10-26T08:43:32.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2023-09-04T15:58:18.000Z (almost 3 years ago)
- Last Synced: 2023-09-05T05:29:36.768Z (almost 3 years ago)
- Language: HTML
- Homepage: https://jupyter.zazuko.com/
- Size: 148 MB
- Stars: 4
- Watchers: 6
- Forks: 5
- Open Issues: 1
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Linked Data by Zazuko
[Zazuko](http://zazuko.com/) works with data from all areas of life, for example data on demographics, the economy, the environment and politics. These datasets are published as [Linked Data](https://en.wikipedia.org/wiki/Linked_data).
These tutorials show **how to work with Linked Data**. They will guide you to working with SPAQRL directly in python. We recommend them to people who would like to:
* Learn to query Linked Data
* Explore datasets about Switzerland
## Install
### Locally
To setup the project locally after you have cloned this repository:
* ```python3 -m venv venv``` create virtual environment
* ```source venv/bin/activate``` to activate venv on Linux or ```venv\Scripts\activate.bat``` to activate venv on Windows
* ```pip install -r requirements.txt``` install dependencies
* ```python -m ipykernel install --user --name=zazuko``` add python kernel to jupyter
* ```jupyter sparqlkernel install --user zazuko``` add SPARQL kernel to jupyter
* ```jupyter notebook``` start a server
For more details on setting up a jupyer notebook in a virtual environment, look [here](https://janakiev.com/blog/jupyter-virtual-envs/).
For more details on installing the SPARQL kernel, look [here](http://www.bobdc.com/blog/jupytersparql/).
### Remotely
You can execute our notebooks in Google Colab environment. To run it in Colab, you will need to install all dependencies.
First, import `requirements.txt` to your workspace. Then install them. You can do it by running (in Colab):
```!pip install -r requirements.txt```
## Explore
We provide tutorials on datasets available as Linked Data.
These datasets are published together with various Swiss organizations.
Available tutorials are:
### Zürich Statistical Office:
* [Data model](notebooks/statistics_zurich/data_model.ipynb)
* [Population](notebooks/statistics_zurich/population.ipynb)
* [Real estate](notebooks/statistics_zurich/real_estate.ipynb)
* [Economy](notebooks/statistics_zurich/economy.ipynb)
### Federal Electricity Commission - ElCom:
* [Electricity prices](notebooks/electricity_prices/electricity_prices.ipynb)
### Federal Office for Agriculture:
* [Animal diseases](notebooks/animal_disease/epidemics.ipynb)