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🚂 SNCF-Transilien stations and line usage

▶️ Application access 🔗

In order to easily visualise the global attendance at SNCF-Transilien stations and lines, we’ve created this dynamic map to showcase the data available on SNCF open-data. To achieve this, we are using two datasets:

  • annual station frequentation, from 2015 to 2021 ( link ),
  • A geocoding table for the “UIC codes” (unique station identifiers, defined by the International Union of Railways.) to obtain the location of stations ( link ).
  • And to make it nice, the actual colrs for each lines, taken from here

application globale

Options

The application is divided into two parts that interact responsively with each other (when possible):

  • On the left side, the overall visualization, with two dropdown menus allwoing:
    • The selection of types of days (weekdays, saturdays, sundays),
    • The choice of lines

carto globale
Type of days
carto ligne
Lines

  • On the right side, the analyses, with three tabs:
    • A global analysis of network usage, including:
      • Ranking of lines,
      • Ranking of network stations.
    • An analysis of usage per line:
      • Evolution of usage throughout the day,
      • Ranking of stations on the line.
    • Finally, an analysis of usage per station:
      • With the evolution of usage throughout the day,
      • With the share of each line passing through the station."

analyse globale
Global Analysis
analyse ligne
Line analysis
analyse gare
Train station analysis

The code

The code is available on Gitlab :

Following our fisrt web app, we kept testing the pydeck , a library that acts as a binder between Deck.gl - a javascript library based on the WebGL framework for visualising large amounts of data - and Python, and Dash Deck , which provides a link with Dash !

Architecture