[cross-post] Exploratory Data Analysis With Pandas and Altair

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[Cross-posting this event from DC Python. We are not the organizers of this event -- please send questions and RSVPs to https://www.meetup.com/dcpython/events/261456267/ ]

Approximate schedule:

6:00 - Doors open
6:30 - General intro
6:40 - Speakers
7:30 - Q&A + Raffle + Social hour

TLDR Description: We'll talk about the practical aspects of analyzing real-world data using Python, Pandas, and Altair by exploring a data-set of traffic stops made by Maryland Police.

Longer Description:
The Python ecosystem has emerged as a first-class tool for drawing useful conclusions about the world through data exploration, inference, and prediction. Sophisticated statistical models are critical to this, but before we get to the fancy math, we need to wrangle messy data into usable form, visualize it, and formulate our questions.

It's these pragmatic topics that we'll cover while using Pandas, a popular package for manipulation of heterogeneous and labeled data, and Altair, a new and not-yet popular package for creating interactive visualizations. To keep things exciting, we'll be using a real-world data-set with local relevance and profound policy consequences: a database of traffic stops made by police officers in the state of Maryland, made publicly available by the Stanford Open Policing Project.

This presentation is beginner-friendly and will be of interest to those who are interested in 1) data analysis in Pandas, 2) hot new Python visualization libraries, 3) the dangers that lurk in real-world data, 4) informed debate about policing, 5) Python in public policy research.

For those who want to follow along, data and code is available as a Github repository or as a zip file from http://pandas-talk.ilyagerner.com/

About the Presenter: Ilya Gerner is a political consultant and co-founder of Legisltr, a startup offering bill tracking, legislative vote scorecards, and opposition research to campaign professionals and government affairs specialists. Please forgive his "Lawn-Guyland" (Long Island, NY) accent, for he is relatively new to the DMV.


Do I need to bring my laptop? Should I download any packages ahead of time?

You’re more than welcome to follow along without a laptop, but executing code during the talk might be more fun! To get started, check out the GitHub repo here: https://github.com/ilyagerner/pandas .

Is this talk appropriate for beginners?

Absolutely! Plus, you might have important insights to share even if you don’t 100% follow the code.

We will have Food, Snacks, and Beverages