Tutorialdata visualizationdata storytellingexploratory analysis
Angelica Lo Duca Presents Data Storytelling Techniques
8.3
In a recent ACM Tech Talk, researcher Angelica Lo Duca of Italy’s Institute of Informatics and Telematics presented techniques for extracting meaningful insights from data. She focused on visual inspection and three heuristic analyses — temporal, spatial, and categorical — plus thresholding and anomaly handling, offering practical steps to turn charts into narratives for reporting and stakeholder communication.
Key Points
- 1Demonstrates three analysis types: temporal, spatial, and categorical for extracting insights from charts
- 2Emphasizes visual inspection and thresholds to identify trends, peaks, and control states
- 3Advises connecting inflection points to external events, enabling explanatory narratives for stakeholders
Scoring Rationale
Useful, actionable heuristics and ACM credibility drive score, but content offers pedagogical review rather than novel research.
Sources
Public references used for this report.
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