Data wrangling with Python

  • Event: 2016 CAR Conference
  • Speaker: Abraham Epton of Chicago Tribune
  • Date/Time: Friday, Mar. 11 at 10:15am
  • Location: Denver II
  • Audio file: No audio file available.

In this session, you’ll get the techniques and libraries you need for managing data-driven stories in Python. We’ll take a dataset and generate some descriptive statistics for it, and then we’ll ask some specific questions of it. We’ll do geographic data analysis, and we’ll learn how to structure a clean and reusable pipeline for analyzing the data that holds up to fact-checking.

Suggested technical experience: Basic familiarity with Python and with programming, but not a lot. This is a course for people relatively new to Python, but not so new that they’ve never used the language before. If you’re pretty familiar with Excel and can make Python say, “Hello world!” you’re a good fit for this class.

Speaker Bios

  • Abraham has been a computational journalist and news applications developer at the Chicago Tribune for the past three years. He's worked on automated campaign finance Twitter bots, play-by-play tracking of NHL and NFL games, and an investigation of Chicago's automated speed-camera system. @aepton

Related Tipsheets

  • Data Wrangling with Python
    This tipsheet will teach the techniques and libraries you need for managing data-driven stories in Python. It will take a dataset and generate some descriptive statistics for it, and then it will ask some specific questions of it. It will teach geographic data analysis, and you will learn learn how to structure a clean and reusable pipeline for analyzing the data that holds up to fact-checking.