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 ...

WPI faculty members Jennifer Rudolph, historian of modern China and professor in humanities and arts, and Lane Harrison, data ...

The degree to which someone trusts the information depicted in a chart can depend on their assumptions about who made the ...

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...

Dhruv Madeka, a quantitative researcher at Bloomberg, describes the open source library D3 (or D3.js), which is used to make interactive data visualizations, as ...

Organizational success is largely driven by human capital. The Human Capital Analytics concentration equips students with data-driven decision-making skills to develop and evaluate high-impact people ...

Data visualizations can significantly affect how people understand and interpret data. But data visualizations can be biased and exclusionary, perpetuating inequity and harmful stereotypes.

Crystal Lee and colleagues publish a preprint of their paper ahead of ACM CHI 2021. “Controversial understandings of the coronavirus pandemic have turned data visualizations into a battleground.