Data visualisation and analysis techniques serve as the cornerstone for interpreting complex datasets across diverse scientific fields. These methods enable researchers to translate quantitative and ...

Abstract: This project focuses on the integration of people and computation in the context of qualitative inductive methods (QIMs), in which experts deeply engage with text corpora such as open-ended ...

Imagine tapping into a raw data feed from a distributed network of IoT devices in a logistics center. The center is full of robots, employee work stations, and shipping and receiving docks. The data ...

Introduction -- Part One: Principles of data visualization. 1. Visual processing and perceptual rankings -- 2. Five guidelines for better data visualizations -- 3. Form and function : let your ...

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

Testing applications is a maturing discipline with tools that help quality assurance teams develop and automate functional tests, run load and performance tests, perform static code analysis, wrap ...

What makes a data visualization truly memorable? Is it the sleek design, the clever use of color, or the ability to distill complex information into something instantly understandable? The truth is, ...