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!
Written in an approachable, first-person angle, this book is a delightful behind-the-scenes look at the process for creating any sophisticated data visualization. It provides many personal tips for every stage of development, from data collection and analysis, to sketching and final production. The authors have done a tremendous job in demystifying a normally opaque practice. They made it seem so easy you will want to start on your own project right away.
Nadieh Bremer and Shirley Wu’s Data Sketches collaboration is a great example of what you can do with data visualization beyond a standard chart. They show that visualization can be both useful and beautiful. They show the many possibilities when you put thought into the data and the visuals. The best part of Data Sketches is that Bremer and Wu documented their processes, so that you can learn the tools they used, the messiness of the data, and how they get over the bumps along the way.
The story behind the magic is sometimes the most magical. Data Sketches is a landmark event in data visualization. Finally, Shirley Wu and Nadieh Bremer reveal how they brought it to life.
Go with two of the world’s best interactive makers deep behind-the-scenes. See how it works—and all the drafts it took to get there. Learn from many comparisons: between Wu and Bremer and across the trajectory of their twenty-four stories. After immersing yourself in Data Sketches you will emerge inspired.
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. Â 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.
