Ever since we started Data Sketches in 2016, we've dreamed of creating a beautiful coffee table book with large, indulgent images of our projects, side-by-side with our very technical process write-ups.
After years of hard work, we've created a book we're incredibly proud of and we can't wait to share it with you!
Lay-chart readers cannot appreciate the expertise and thousands of decisions that go into a single visualization, but this wonderful behind-the-scenes peek reveals how there is never just one “right” answer, but many possible answers — each of them beautiful, provocative, and shaped by the unique lens of its creator.
Nadieh and Shirley both think, design, code, and create outside of the box; we have much to learn from them and Data Sketches, one of the most prolific and creative data-visual collaborations in recent memory.
This book brings the perfect blend of ingredients together for a nourishing recipe of inspiration and knowledge beneficial to beginners and experienced practitioners alike. Nadieh and Shirley are generational talents. Through their data visualisation work they relentlessly exhibit a wide spectrum of capabilities across the creative, editorial, analytical, and technical dimensions. Above all, they are wonderful communicators. They know how to skilfully communicate to audiences through data. And now, through this book, they share detailed stories of their process giving us the privilege of learning what, why and how they do what they do.
Nadieh Bremer and Shirley Wu are wondrous eccentrics. Their splendid book is the product of a collaborative experimental project, Data Sketches, that might be one of the first exponents of an emerging visualization orthodoxy in which uniqueness is paramount and templates and conventions are viewed with scepticism.
Data Sketches is a collaboration between Nadieh Bremer and Shirley Wu, where we chose twelve different topics and each created a data visualization for a total of 24 projects. We then documented the whole process from data collection, to sketch and ideation, to code.
Nadieh Bremer is a graduated astronomer, turned data scientist, turned freelancing data visualization designer. She's worked for companies such as Google, UNESCO, Scientific American, and the New York Times. As 2017’s “Best Individual” in the Information is Beautiful Awards, she focuses on uniquely-crafted data visualizations that are both effective and visually appealing for print and online.
Shirley Wu is an award-winning creative focused on data-driven art and visualizations. She has worked with clients such as Google, The Guardian, SFMOMA, and NBC Universal to develop custom, highly interactive data visualizations. She combines her love for art, math, and code into colorful, compelling narratives that push the boundaries of the web.