citibike usage analysis in R
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images
temperatures
.Rhistory
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aggregate.py
explore.R
get_temps.py
linegraphs.png
process.py
readme.md
wiggins.png

readme.md

Code behind the blog post: http://abe.is/analyzing-citibike-usage/

  1. Run aggregated on the server for the whisper files
  2. Run get_temp locally to get updated temps

Future work:

  1. A rebalancing predictor and scheduler?
  2. A thing to predict if there will be bikes (probability of empty dock, assuming no rebalancing)

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