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Data Tasting + Hands-on Mob Programming Sessions with iPython, and R with Stats

DataPotluck XII :: Hands-on, Mob Programming Sessions with iPython Notebook, R with Statistics Applications, and our monthly Data Tasting

DataPotluck XII continues the momentum on hands-on workshopping of tools, where we swap sitting and listening to cool stuff in favor of learning-by-doing  cool stuff. After a meal and a data tasting we’ll have two breakout sections:

• ipython Notebook - a powerful data analysis, visualization and code sharing platform for python that allows you to track data, data transformations and your visual data explorations in an easy to understand and compact notebook style -- hosted by: Matt Gee, Research Fellow at the Computational Institute at the University of Chicago

• R for Statistical Analysis - R is a powerful and increasingly popular open source tool for a statistical analysis (and many functions for data visualization, web app creation, document production, and more). In this mob programming session we'll be analyzing aggregate education data to approximate program evaluation methods. This will include the basics of loading, cleaning and summarizing data, as well as running linear regression methods (with complementary light introduction to those concepts). hosted by: Nick Mader, Senior Researcher with Chapin Hall at the University of Chicago

Each session meets in its own room, fitted with one projected screen, one keyboard, one mouse, and one problem for the group to solve. While the host will (as necessary) guide the approach that the group takes, the keyboard and mouse are passed every 5-10 minutes. Each "mobbing" session is collaborative and interactive and meant to allow each participant to learn-by-doing the tool or techniques for the session.

All sessions will be video recorded for later reference by you and other community members. All materials--data, code, and anything generated along the way--will be saved in our public github repo so that you can go back and keep exploring, learning and trying new things.


More about Logistics

Location. The DataPotluck is gratefully hosted by the Chicago Community Trust, located at 225 N Michigan Ave. Check in with security when you arrive, and take the elevators to the 22nd floor. We gather at 6pm, and start announcements at 6:30pm once we’ve all got a plate and settled in.

Food and drink. If you are able to bring food, beverages or snacks to share, please do! If you aren’t--don’t worry! We’ll also provide additional food, and suggest a small donation of $5 to help us cover it.

Bringing computers and devices. Please do bring your computers, tablets, or other devices. While we’ll all share a computer during the breakout sessions, your devices may come in handy to inquire with Google or other online resources. We’ll bring the wifi. You will not need to install any special software on your device, everything will be provided at the session. 

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