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station consts file #1

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cxshine opened this issue Jul 15, 2021 · 1 comment
Open

station consts file #1

cxshine opened this issue Jul 15, 2021 · 1 comment
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@cxshine
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cxshine commented Jul 15, 2021

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.

@cxshine cxshine changed the title station costs file station consts file Jul 15, 2021
@anderzzz
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Hello.

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.

Hope this helps.

@anderzzz anderzzz self-assigned this Jul 15, 2021
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