Topological Data Analysis (TDA) is an increasingly influential framework that leverages the principles of algebraic topology to extract, quantify and visualise the intrinsic structure of complex, high ...

DESPITE THE relatively recent advent of data journalism and visualisation, the practice of analysing data is an old one. In 1786 William Playfair, a Scottish engineer and secret agent, invented the ...

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 ...

“Right now we’re trying to catch disinformation campaigns,” said David Waldrop, CEO and Founder of ICG Solutions based in Potomac, Maryland. Waldrop is talking about his latest project in big data ...

Data analysis isn’t just about assembling, ordering and interpreting data; it’s also about educating, simplifying, clarifying, and persuading. In the hands of skilled analysts, data can make a ...

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 ...

Recent advances in microarray technology have led to the proliferation of experiments simultaneously measuring the transcriptional responses of massive amounts of genes to a variety of stimuli. The ...

Matt Escobar receives funding from the Core Research for Evolutionary Science and Technology (CREST) project 'Development of a knowledge-generating platform driven by big data in drug discovery ...

Data visualization is the graphical representation of information and data via visual elements like charts, graphs, and maps. It allows decision-makers to understand and communicate complex ideas to ...

The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks tossed in. The package ...