Falcon: Visual analysis of large, irregularly sampled, and multivariate time series data in additive manufacturing.

•A scalable visual analytics system for finding temporal and statistical patterns at variable scales in large and complex time series data is proposed.•A new segmented time series visualization technique is introduced that provides synchronized views of time series and imagery data with visual representations of information scent derived from time series similarity algorithms.•The waterfall visualization technique, which gives an overview of time series data with details in miniature form, is introduced.•A practical case study led by an additive manufacturing expert and involving real 3D printer log data is presented.•Future improvements for this visual analytics system and reflections on this multidisciplinary project are discussed.