1.2 - Data types, and a letter to your future self

Thursday, January 16

In every project you have at least one other collaborator: future-you. You don’t want future-you to curse past-you.

Hadley Wickham

Class outline

  • Ethics and accuracy in data journalism part one
  • Introducing the data diary
  • Understanding data types: numbers, dates and text

UPDATE 1/14

  • Lab: An Excel reboot using a city budget, to be submitted in Canvas at the end of class data file | tutorial
  • Demo: Calculating speeds from dates and times using 25,000 of the Sun-Sentinel’s 72,000 records data file | source

Due this week

  • Friday: Academic integrity pledge on Canvas; download and sign into the Slack workspace for your section, linked off of My ASU.
  • Sunday, Jan. 19: Finding stories in Arizona Census data: assignment | tutorial | data, with data diary, on Canvas.

Preparation

OPTIONAL:

Slides from the 2017 NICAR conference on ethics in data journalism, Mary Jo Webster (Minneapolis Star Tribune) and Tom McGinty (Wall Street Journal). Much of this is about accuracy and context, but there are good items on scraping and terms of service, which are important to us. You will need an IRE membership to sign in and get this tipsheet.