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Data Hack Session

How do I gain access to the raw data being collected by my favorite tracking app or device so I can explore my own data? That's the problem we're going to focus on in this month's meetup, which will be a two-hour data hack session. Please join us, whether you are a data hacking pro and would like to show us a nifty way to access a dataset, or you are simply curious to learn more about QS practices.

Here is the meetup format:  starting at 6PM, the first ≈30 mins will be reserved for very brief presentations by anyone who has a project they'd like to share, as a means to facilitate discussion & collaboration. After the presentations, we can split into break-out sessions to delve deeper into any of the presented topics, or people can simple work individually on a project they've brought. 

Jamie Williams will kick things off by giving a quick overview of how he has obtained data from various API's using iPython scripts (github: https://github.com/jamieinfinity/QS/tree/master/Python). For the hack session, he plans on working on one of the following:

- Fitbit heart rate data: https://wiki.fitbit.com/display/API/API-Get-Intraday-Time-Series
- CubeSensor data: https://my.cubesensors.com/docs

We encourage anyone interested in presenting to share your thoughts in the meetup comment section.

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  • Jesse F.

    Burpsuite may help with this, I'll try to play around with it before the meeting.

    September 11, 2015

    • Jamie W.

      That sounds good. I'd love to getting any insight on privacy and security you might have when accessing data via an API.

      September 14, 2015

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