Podcast Episode 17 - Kevin Quealy

Kevin Quealy, graphics editor at the New York Times, comes on the show to discuss data visualizations. An expert in using data to tell visual stories, Kevin walks Dave through the process he and the graphics department use to tell news-worthy stories with data and graphics. 

Kevin describes some of his recent sports work, including a graph of longest QB start streaks, the 4th Down Bot and his NFL draft success chart. He talks about how he and his team begin their work process by looking for interesting stories and data-sets, and how those stories go through a variety of iterations before they are turned into visually striking charts. Kevin explains his criteria for what makes for a great visualization and provides some helpful tips for aspiring information designers.

If you're interested in learning more about data visualizations, check out the rest of Kevin's work here and his post about the process of creating the QB streak graphic. While you're at it, take a look at Jennifer Daniel's terrific 4th down Bot sketches.

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4 Responses to “Podcast Episode 17 - Kevin Quealy”

  1. Anonymous says:


  2. Drew Vogel says:

    If you just want to subscribe in your rss reader, this URL should work:

  3. Brian Burke says:

    Thanks, Drew.

  4. Trey says:

    Great stuff! Really good insight into process. The best quote was when Kevin quoted Amanda Cox as saying "[d]istributions are more interesting than averages."

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