datagrafikkanimatorisk

Datagrafikkanimatorisk is a neologism used to describe the practice of creating animated data graphics to communicate information. The term combines elements of data visualization, graphic design, and animation, and is used in discussions of data storytelling to denote the set of methods that bring static charts to life while preserving accuracy.

It encompasses data preparation, visual encoding, motion design, and interaction design. Typical workflows involve cleaning data, choosing visual encodings (position, length, color), selecting animation techniques (transitions, morphing, timing, sequencing), and evaluating comprehension.

Common techniques include animated transitions between chart types, time-based line or area charts, bar chart races, and micro-interactions that highlight changes in data. Tools often used are data visualization libraries and motion graphics software such as D3.js, p5.js, or After Effects, sometimes in combination with storytelling frameworks.

Applications include journalism, dashboards, educational content, research communication, and presentations. The practice stresses accuracy, avoiding misleading motion, and considering accessibility, such as motion sensitivity and screen reader compatibility. It also raises ethical considerations about pacing, emphasis, and the visibility of uncertainty.

In scholarship and industry, datagrafikkanimatorisk is discussed alongside data visualization, motion graphics, and interactive storytelling, as a language for describing how animation adds value to data insight.