Nathan has always been a quiet person, preferring to observe and listen over anything else. That has worked well in analyzing data, but it has its limits. In this talk he shares some observations about data visualization
Nathan Yau has a PhD in statistics and helps clients make use of their data through visualization. He created the popular site FlowingData.com, and is the author of is the author of Data Points: Visualization That Means Something as well as Visualize This: The FlowingData Guide to Design, Visualization, and Statistics.
As designers, we are responsible for creating worlds of experiences, environments, services, and systems that impact millions of people – with lasting impacts. While we don’t have a Hippocratic Oath, it’s important for us to follow a similar goal to “do good” and “do not harm.” It is our responsibility as IAs to consider the consequences and impact our design decisions have on humanity and society as a whole.
Research is a foundational step in the design process. It ensures that we understand and account for diverse user needs within communities, both in our own domains and globally.
So, what differences are we designing for?
