Data visualisation and visual analytics techniques play an essential role in interpreting complex, high-dimensional information. By transforming raw data into graphical representations, these methods ...

For decades, visualization was the final stop on the data journey. It was optional—"good to have" on top of data analytics. Analysts would gather numbers, then clean and process, and only at the end ...

Submit your application for our first class by April 15! The MPS Data Visualization & Communication (DV&C) program equips you with the tools to translate complex information into powerful stories that ...

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 ...

Many companies grapple with data challenges. In a 2019 survey, Deloitte reports that 67% of executives aren’t comfortable accessing or using the data at their organizations. In a separate poll from ...

If there’s one thing that characterizes the Information Age that we find ourselves in today, it is streams of data. However, without proper ways to aggregate and transform this data into information, ...

Data visualization for the Museum of London by Alex Kachkaev (a PhD student) with supervisor Joseph Wood, illustrating where people in London congregate in both inside and outside spaces, showing how ...

In Fall 2026, SVA will welcome the inaugural class of a brand-new degree program, the Masters of Professional Studies in Data Visualization and Communication (MPS DV&C), a 10-month program that blends ...

In today's fast-paced and ever-evolving landscape of clinical trials, the ability to efficiently analyze and visualize data has become paramount. The vast amounts of data generated from these trials ...

Data visualizations can affect whether and how people understand and interpret data. Researchers and writers using data visualizations face choices about which data to use or emphasize. Those ...

Make ggplot2 graphs with a lot less code using the ggcharts package.