The Art of Autographic Design in Data Analysis with Dietmar Offenhuber | Jon Schwabish

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The Art of Autographic Design in Data Analysis with Dietmar Offenhuber | Jon Schwabish
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In this video, "The Art of Autographic Design in Data Analysis with Dietmar Offenhuber | Jon Schwabish," Dietmar Offenhuber joins Jon Schwabish to discuss the innovative concept of autographic design in data analysis. Learn how this approach emphasizes the creation of unique, handcrafted visual representations of data that enhance understanding and engagement. Whether you're a data analyst, designer, or enthusiast, this video provides valuable insights into merging artistic techniques with data science. Join us for a captivating exploration of the intersection between art and data with expert insights from Dietmar Offenhuber.
||Jon Schwabish
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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.
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