‘data analysis’ Videos

  • Mika Epstein: Lesbians, Damn Lesbians, and Statistics

    WordCamp US 2017Speaker: Mika Epstein

    December 10, 2017 — Using WordPress to queery (not a typo) data and generate statistics based on the entire history of television and understand the impact of fictional death in the media on real life people. As seen on https://lezwatchtv.com


    This presentation will discuss the complications of using WordPress to manage a site filled with cross-related data, in order to understand the social and psychological impact of the Bury Your Gays trope on TV. By using WordPress, we were able to easily output the data, but building out a site without planning what data will be captured leads to headaches. There were difficulties in the growth of data, including handling multiple actors and shows, with separate roles, characters who changed names and genders, and the death and revival of another character (does she count as dead)? Through it all, we prioritized open data and open discovery of the data to allow people to take the content and use it for their own purposes.


    – The dead lesbian / bury your queers trope (see also: The Lexa Effect of 2016)
    – Rest API for data promulgation and distribution
    – Confirming theories with data
    – How WordPress makes it ‘easier’ for people to find themselves reflected in media

  • April Holle: Data, Goals and WordPress – Oh My!

    WordCamp Phoenix 2016Speaker: April Holle

    October 28, 2016 — Finally figure out what metrics you should measure based on your specific goals, learn how to properly track specific visitor actions throughout your WordPress website as well as automatically keep count of each successful important website actions as Google Goals within Google Analytics, and then use these data points to guide the direction of the overall layout and content to create your very own data-driven WordPress website.

  • Jeff Bowen: Listen To Your Users — Your Data Pipeline

    WordCamp Asheville 2015Speaker: Jeff Bowen

    September 7, 2015 — Each time someone clicks onto your site, their actions tell a story. When you listen to these stories, patterns often emerge.

    Your data pipeline (collection, processing, analysis, etc.) is critical to understanding how real users find and use your site and enables you to rely on more than intuition that you’re improving their experience when iterating on a design.

    Presentation Slides »