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This R script visualises the top 15 Swiss train stations by average daily traffic (boardings and alightings) for 2018, 2022, and 2023. Using SBB-provided .parquet data, it filters and processes station activity, generating a bar chart to compare traffic trends across years, highlighting shifts in usage patterns.

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Top 15 Swiss train stations based on boardings and alightings

Description

This code provides a visualisation of the top 15 Swiss train stations with the highest average daily traffic (boardings and alightings) for the years 2018, 2022, and 2023. Using data from the .parquet file provided by Schweizer Bundes Bahnen (SBB), the script filters and processes information, creating a comparative bar chart to analyse changes in traffic over the selected years.

Application Overview

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Installation

Use the provided requirements.txt file to install the required libraries for the code.

Contribution

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

License

MIT

About

This R script visualises the top 15 Swiss train stations by average daily traffic (boardings and alightings) for 2018, 2022, and 2023. Using SBB-provided .parquet data, it filters and processes station activity, generating a bar chart to compare traffic trends across years, highlighting shifts in usage patterns.

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