We're excited to schedule our next meetup.
6:30pm - 7:15pm - show and tell & hangout
7:15pm - 8pm - talk
We are charging for pizza and beer again! If you pay and then are unable to attend, we will happily refund you (just message the meetup organizers.)
In recent years, there is a growing need for communicating complex data in an accessible graphical form. Existing visualization creation tools support automatic visual encoding, but lack flexibility for creating custom design; on the other hand, freeform illustration tools require manual visual encoding, making the design process time-consuming and error-prone. In this paper, we present Data-Driven Guides (DDG), a technique for designing expressive information graphics in a graphic design environment. Instead of being confined by predefined templates or marks, designers can generate guides from data and use the guides to draw, place and measure custom shapes. We provide guides to encode data using three fundamental visual encoding channels: length, area, and position. Users can combine more than one guide to construct complex visual structures and map these structures to data. When underlying data is changed, we use a deformation technique to transform custom shapes using the guides as the backbone of the shapes. Our evaluation shows that data-driven guides allow users to create expressive and more accurate custom data-driven graphics.
Nam is a Ph.D. student, focusing on information visualization and human-computer interaction research. He works in the Visual Computing Group at Harvard, advised by Prof. Hanspeter Pfister. Prior to Harvard, he worked at Samsung and LG. He received M.S. from Stanford Univ. and B.S. from Ajou Univ. and Stony Brook Univ. (dual degree).