https://github.com/antoineaugusti/trainline-gdpr

Analyze your personal data coming from Trainline
https://github.com/antoineaugusti/trainline-gdpr

data-visualisation data-visualization gdpr rgpd trainline trains

Last synced: 25 days ago
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Analyze your personal data coming from Trainline

• Host: GitHub
• URL: https://github.com/antoineaugusti/trainline-gdpr
• Owner: AntoineAugusti
• License: mit
• Created: 2018-10-06T15:03:16.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2020-08-21T13:05:55.000Z (about 4 years ago)
• Last Synced: 2024-06-13T09:42:58.937Z (5 months ago)
• Topics: data-visualisation, data-visualization, gdpr, rgpd, trainline, trains
• Language: Python
• Homepage: https://blog.antoine-augusti.fr/2018/10/visualizing-my-train-journeys-thanks-to-gdpr-and-trainline/
• Size: 4.88 KB
• Stars: 5
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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README

        
# Trainline GDPR

## What's this?

**Short:** generate a CSV file of trips you've booked through Trainline from your data you have requested thanks to the GDPR.

**Long:** I use [Trainline Europe](https://www.trainline.eu) to book my train tickets since it was called Capitaine Train. Thanks to the GDPR law and especially the portability section, you can request your personal data. I wrote a [blog post](https://blog.antoine-augusti.fr/2018/10/visualizing-my-train-journeys-thanks-to-gdpr-and-trainline/) about this.

The Trainline Europe team will gladly send you a JSON file by email. The goal of this repository is to get a single CSV file to analyse your personal trips (trips that you've actually done - not booked, cancelled or those who have expired).

## Installation

```sh

git clone [email protected]:AntoineAugusti/trainline-gdpr.git

cd trainline-gdpr

python3 -m venv venv

source venv/bin/activate

pip install -r requirements.txt

```

## Usage

```

$ python main.py -h

usage: main.py [-h] filepath

positional arguments:

  filepath    The full path to the Trainline JSON file

optional arguments:

  -h, --help  show this help message and exit

```

Therefore, you can call the script like this: `python main.py /tmp/trainline.json`

## Generated CSV

See the file [data_sample.csv](data_sample.csv) to look at a sample file!