High-throughput studies of biological systems are rapidly accumulating a wealth of'omics'-
scale data. Visualization is a key aspect of both the analysis and understanding of these …

In spite of advances in technologies for working with data, analysts still spend an inordinate
amount of time diagnosing data quality issues and manipulating data into a usable form …

The rapid advancement of artificial intelligence (AI) is changing our lives in many ways. One
application domain is data science. New techniques in automating the creation of AI, known …

Today, the prominence of data science within organizations has given rise to teams of data
science workers collaborating on extracting insights from data, as opposed to individual data …

Data visualization is regularly promoted for its ability to reveal stories within data, yet these
“data stories” differ in important ways from traditional forms of storytelling. Storytellers …

To support effective exploration, it is often stated that interactive visualizations should
provide rapid response times. However, the effects of interactive latency on the process and …

We take a new, scenario-based look at evaluation in information visualization. Our seven
scenarios, evaluating visual data analysis and reasoning, evaluating user performance …

We describe the design and deployment of Many Eyes, a public Web site where users may
upload data, create interactive visualizations, and carry on discussions. The goal of the site …

Information visualization research is becoming more established, and as a result, it is
becoming increasingly important that research in this field is validated. With the general …

The conflux of two growing areas of technology–collaboration and visualization–into a new
research direction, collaborative visualization, provides new research challenges …