Name: Data Hack Session
Start: 2015-09-15T18:00:00-05:00
End: 2015-09-15T20:00:00-05:00
Location: Cambridge Innovation Center (The CIC)

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.

Dan Reus

Jamie Williams

William Dahl

The Quantified Self St. Louis Meetup Group

Technology

Fitness

Data Visualization

Healthy Living

Data Analytics

New Technology

Mobile Technology

Quantified Self

Mobile Health

Cognitive Science

Activity Monitors and Devices

Self Tracking

Big Data

Data Hack Session

Cambridge Innovation Center (The CIC)

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The Quantified Self St. Louis Meetup Group

Data Hack Session

The Quantified Self St. Louis Meetup Group

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