JobViz: Skill-driven visual exploration of job advertisements

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Ran Wang, Qianhe Chen, Yong Wang, Lewei Xiong, Boyang Shen

Published: 2024, Last Modified: 12 Nov 2025Vis. Informatics 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Research highlight 1: JobViz is proposed to achieve skill-driven visual exploration of job advertisements.•Research highlight 2: Radar-chart glyph was designed to visualize skill structure and posts distribution.•Research highlight 3: JobViz’s effectiveness was demonstrated by two case studies and user interviews.