This repository contains the Quarto source code relating to the arXiv version of the manuscript Analysing and visualising bike-sharing demand with outliers. The arXiv pre-print can be found at doi.org/10.48550/arXiv.2204.06112.
This repository makes use of the Quarto template for arXiv preprints developed by Mike Mahoney.
The datasets analysed during this study are available from Capital Bikeshare in a public repository that does not issue datasets with DOIs at s3.amazonaws.com/capitalbikeshare-data/index.html. Further information on any pre-processing performed by Capital Bikeshare is available at ride.capitalbikeshare.com/system-data, and the license agreement at ride.capitalbikeshare.com/data-license-agreement. The data used in this paper spans January 2017 to December 2019.
The source code used to create the figures is contained within the .qmd files, with the input data for each plot being saved in the Data/ folder in .rds format. Cleaning scripts which produce these .rds files from the raw data are included in the Cleaning Scripts directory.
The following .rds files:
- Data/OD_data.rds
- Data/d_2017.rds
- Data/d_2018.rds
- Data/d_2019.rds
are not included in this repository due to their large file size. These files can be re-created by running the Cleaning Scripts/1_process_raw_data.R script.