This slide was used in my presentation of FOSSASIS 2020 in Singapore.
https://summit.fossasia.org/event/schedule.html#6138
https://www.youtube.com/watch?v=YRFynvjZl30
- Abstract
In Japan, open data of crime damage information and disaster information is disclosed. Data processing and analysis can be facilitated by the development of Python.This time, LINEBot was developed in Python to estimate theft using open data of bicycle theft damage information released by Nagano Prefecture in Japan. In order to quantify how similar the “bicycle theft data” based on open data is to the “user data” of LINE users, I have calculated the “Maharanobis distance” and implemented an estimation function. I will talk about pre-processing of open data, implementation of estimation function by Mahalanobis distance, and use of LINEMessagingAPI. (LINEBot is available with LINE ID: @ 377mjuys)My bot is open source, here is a link to the open source code. [https://github.com/kenji7157/open-nagano-zitensya]
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