As Data Science comes into its own, data visualization plays an essential
role in making sense of the billions of data generated daily. Data
visualization helps tell stories by representing data in a way that is
easier to understand, highlighting trends, outliers, and patterns. A good
visualization tells a story, removing noise from the data and highlighting
valuable information. Both data and visual elements must work together,
and only the art of combining these elements generates an effective and
efficient visualization.
Given the importance of Visualization in Data Science, in 2018, we decided
to create the research group "Visual Data Science Lab" at the School of
Applied Mathematics of the Getulio Vargas Foundation, led by Professor
Jorge Poco. Our group’s mission is to create
techniques
and tools that amplify humans’ analytical and cognitive
capabilities through
visual and interactive mechanisms .
Our research work balances automatic methods with human intervention to
improve performance. We create interactive systems that aid the process of
data exploration and analysis using automation based on machine learning
and artificial intelligence. In addition, we seek excellence in impact
publications in Computer Science and Data Science with applications to
problems that affect our society. That is why our research projects have
inter-, cross- and multidisciplinary groups.