How do we understand data? In an age of ever-exploding amounts of information, we face the age-old challenge of making meaning out of complex subjects. Because our eyes can process vast amounts of data quickly, visualization is one key tool in helping us see the big picture, and can be a critical tool for communicating science. But data visualization is more than just word clouds and pie charts, and is informed by a long history of information design, computer science and statistics. This session will explore the process of visualization – how to acquire, question, filter and represent data into clear and powerful visual stories.
- What are some design principles that inform data visualization?
- What are some tips, tricks, and tools that can help with telling visual stories?
- What's the difference between an infographic and a data visualization?
- How can I use data visualization in science?
- What questions should I keep in mind as I make a visualization?
- How do I decide what form a visualization should take?
- What role do colors and typography play in my data visualization?