https://github.com/jackdbd/paradise-papers-neo4j
Visualizing the Paradise Papers dataset with Neo4j, Altair and Folium
https://github.com/jackdbd/paradise-papers-neo4j
Last synced: 9 months ago
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Visualizing the Paradise Papers dataset with Neo4j, Altair and Folium
- Host: GitHub
- URL: https://github.com/jackdbd/paradise-papers-neo4j
- Owner: jackdbd
- License: mit
- Created: 2018-08-20T09:04:10.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2018-08-20T10:17:58.000Z (almost 8 years ago)
- Last Synced: 2025-03-11T06:49:20.775Z (over 1 year ago)
- Language: Jupyter Notebook
- Homepage: https://jackdbd.github.io/paradise-papers-neo4j/
- Size: 16.2 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Paradise Papers with Neo4j, Altair and Folium
Data exploration and visualization of the Paradise Papers dataset.



## Installation
If you want to run the notebook locally, you can create a conda environment.
Create and activate a new conda environment:
```
conda create --name paradise-papers python=3.6 --yes
source activate paradise-papers
```
Install all the dependencies (this might take a while, go grab a cup of coffee):
```sh
conda install -c conda-forge jupyter neo4j-python-driver pandas altair vega_datasets notebook vega folium -y
```
*Note:* you don't need to install Neo4j. The notebook connects to a Neo4j sandbox that should be always available.
## Usage
When all dependencies have been installed, run the notebook:
```sh
jupyter notebook
```
## Misc
You can freeze your environment with:
```sh
conda env export > environment.yml
```
To remove this conda environment, run:
```sh
conda env remove -n paradise-papers -y
```
## Credits
This work was inspired by [William Lyon's tutorial](https://www.lyonwj.com/2017/11/28/geocoding-paradise-papers-neo4j-spatial-visualization/).
The [Paradise Papers dataset](https://offshoreleaks.icij.org/pages/database) is released by The International Consortium of Investigative Journalists. The dataset is licensed under the [Open Database License](https://opendatacommons.org/licenses/odbl/1.0/) and its contents under [Creative Commons Attribution-ShareAlike license](https://creativecommons.org/licenses/by-sa/3.0/).