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TIL6022_python_project

A repository containing the files for the group project for the TIL6022 course Python Programming.

Project description

This project tries to find a correlation between 2 types of transport modes and daily weather patterns. Train usage and rental bike usage are compared to daily weather patterns.

Data analysis pipeline

The folder data contains the necessary data files to reproduce the project. Note that for the ov-bike data, only the processed .parquet files are available through the github, the original datafiles are very large and were downloaded from a website.

The folder intermediary plots contains code for plots that are not used in the final report.

The folder ov-fiets dataprocessing contains the code to download the ov-bike data from the origin website and process it to create the smaller .parquet files.

The folder plots contains the .png files of the plots used in the final report.

The rest of the main branch contains the final report and the code to create the plots for the main results of the project. Meaning the code for the correlation plots and the code for a map of all the weather and ov-bike locations.

Author information

AnnavanHerwijnen -- Anna van Herwijnen

NBrodbelt -- Nicolar David Brodbelt Lopez

greta.sch4-commits -- Greta Nikolova

Manasaht31 -- Manasa Hemalatha Thirumal

Zitong22 -- Zitong Zeng

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A repository containing the files for the group project for the TIL6022 course Python Programming.

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