Tracing the Narrative: The Art of Autographic Design in Data Analysis with Dietmar Offenhuber

In this week’s episode, I chat with Dietmar Offenhuber about his new book, Autographic Design and the concept of autographic data analysis. Dietmar stresses the significance of recognizing the material origins of data and the influence of extraneous variables. He advocates for a qualitative approach that pays attention to data traces, which can uncover deeper narratives. In our conversation, we explore what is meant by autographic design and urge a wider lens on data to grasp multifaceted problems thoroughly. Additionally, Dietmar’s work underscores the interplay between qualitative and quantitative methods, emphasizing the role of subtlety and conjecture in data interpretation to bring a more nuanced understanding of the stories behind the numbers.Keywords: dietmar offenhuber, autographic design, design in data analysis with dietmar offenhuber, Design in Data Analysis, design in data analysis, how to become a data analyst, quantitative data analysis, Dietmar Offenhuber, Jon Schwabish, jon schwabish, data visualization, tableau, dataviz, flourish, bar graph, flourish data visualization tool, bar chart race, data analysis with dietmar offenhuber, autographic design in data, sports card investing, investing in sports cards, mathematics, Al, machine learningSubscribe to PolicyViz Podcast wherever you get your podcasts.Become a patron of the PolicyViz Podcast for as little as a buck a monthVisit Dietmar’s websiteand check out his new book “Autographic Design: The Matter of Data in a Self-Inscribing World”Follow me on Instagram,  LinkedIn,  Substack,  Twitter,  Website,  YouTubeEmail: [email protected]➡️ Check out more links, notes, transcript, and more at the PolicyViz website.Sponsor: Maryland Institute College of ArtThe Maryland Institute College of Art (MICA) application deadlines for summer and fall are April 22 and August 1. Spots are limited, so start your application now and talk to an enrollment coach by filling out our form at online.mica.edu/dav/.