The Policyviz Podcast

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 vis