Last week, I attended the Transparent Text symposium at IBM’s offices in Cambridge. The conference focused on text-based data storage, analysis, and visualization — awesomely nerdy stuff, in other ...

Before analyzing customer data, we need to describe the customers. Descriptive features for customers usually revolve around three categories: revenues, demographics and behavior. While revenues and ...

Overview: Data analysis software makes sense of large amounts of information quickly.Tools like R, Python, and SPSS simplify research and statistical studies.Vi ...

Computer scientists have shown a new way to help prevent users of data exploration software from making false discoveries. Modern data visualization software makes it easy for users to explore large ...

The social science data analysis and visualization minor introduces students to the fundamentals and current innovations of research and data analysis across social science disciplines. It equips ...

The Master of Science in Data Analytics and Visualization (DAV) program addresses the growing need for analysts, researchers, developers, designers, mapmakers, usability experts, and other data ...

The LDAV 2018 conference on Large Data Analysis and Visualization has issued its Call for Papers. Held in conjunction with IEEE VIS 2018, the event takes place October 21 in Berlin. The 8th IEEE Large ...

With the advent of the exascale supercomputing era, computational scientists can run simulations at higher resolutions, add more detailed physical phenomena, increase the size of the physical problems ...