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Hi, I noticed that you have done a great work for predicting bike sharing demand. I wanted to reproduce your work, but when I looked at raw_data.py file, I don't know how many files I need to download from database, and I also can't get the station const file, can u help me ? Thanks.
The text was updated successfully, but these errors were encountered:
cxshine
changed the title
station costs file
station consts file
Jul 15, 2021
Some months after I did the analysis in this repo, I uploaded most of the data (somewhat cleaned up) to the Kaggle dataset server. You may have to slightly massage the files to fit into the graph convolutional networks (like binning the data along the time axis, maybe discard some low-usage stations), still some of the messier parts of the raw data from the City of London website have been sorted out: https://www.kaggle.com/ajohrn/bikeshare-usage-in-london-and-taipei-network
You can also see the file london_stations.csv, which I believe is the specific station constant file you ask about. It can be found on City of London data website, but yes it is a bit hidden I recall. Unfortunately I did not find the equivalent data for the Taipei network, hence the absence of a taipei_stations.csv file.
Hi, I noticed that you have done a great work for predicting bike sharing demand. I wanted to reproduce your work, but when I looked at raw_data.py file, I don't know how many files I need to download from database, and I also can't get the station const file, can u help me ? Thanks.
The text was updated successfully, but these errors were encountered: