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Python code analysing DB's Call-a-Bike data for the CorrelAid LC-Rheinmain hackathon

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call-a-bike-hackathon

Python code analysing DB's Call-a-Bike data for the CorrelAid LC-Rheinmain hackathon

Location of bike stations in Hamburg

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Number of bike rides by time of day

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How many poor souls spent the first minutes of the new year on a Call-a-bike?

For each year in the dataset, the following table counts the number of trips that started on December 31 of the previous year and ended on January 1 of that year:

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Top 10 pairs of start and end stations by number of trips

The following table lists the top 10 routes (start to end) by number of trips (n_trips). It also includes the cumulative share of the total observations accounted for by those routes (cum_share) as well as the share of missing observations, i.e. days without any recorded trips (share_NaN) in relation to the entire sample period:

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For an interactive heatmap showing the number of trips for all combinations of start and end stations, download the following file: plots/heatmap_trips.html

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Python code analysing DB's Call-a-Bike data for the CorrelAid LC-Rheinmain hackathon

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