Workbench: Reproducible data work without coding

  • Event: 2019 CAR Conference
  • Speaker: Jonathan Stray of Columbia Journalism School
  • Date/Time: Thursday, Mar. 7 at 3:30pm
  • Location: Mariner Cove - conference level
  • Audio file: No audio file available.

Workbench is an open source tool that puts all stages of the data journalism process in one workspace, including scraping, cleaning, monitoring, and visualization -- all without coding, and all reproducible. 

In this hands-on tutorial, you'll learn how to use Workbench for several different newsroom tasks. Clean and explore data, monitor sources, create live embeddable charts that update when new data is released, or build useful queries that other journalists can use to report on a data set. Workbench is built to help make data tasks accessible to more people in the newsroom.

**You must bring a laptop, with either Google Chrome or Firefox web browsers installed, to participate in this class.

This session is good for journalists of all skill levels.

Speaker Bios

  • Jonathan Stray is a computational journalist at Columbia university, where he teaches the dual masters degree in computer science and journalism and leads the development of Workbench, an integrated tool for data journalism. 

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