---
esco_uri: http://data.europa.eu/esco/skill/65e58886-bd1e-4c5b-8ca5-8d9b353c8aa1
esco_label: "data visualisation software"
relation: essential
onet_soc: 15-2051.00
source: model-knowledge
confidence: high
qa_count: 0
generator: gemma3:27b (prompt-designed and spot-checked by Claude)
generated: 2026-07-10
---

# data visualisation software — Data Scientist

For a Data Scientist, 'data visualisation software' isn’t about making pretty pictures – it’s about *rapidly translating analytical findings into actionable insights*. Daily tasks involve exploratory data analysis (EDA) where you use visuals to identify patterns, outliers, and relationships *before* formal modelling. Then, communicating model results—performance metrics, feature importance, predictions—to both technical and non-technical audiences is crucial. Think creating dashboards for stakeholders tracking key performance indicators or interactive plots allowing business users to drill down into data segments. It's a core part of the 'storytelling with data' skillset.

## Weitere Anreicherung

Stage-2 source for future practitioner grounding: arXiv cs.LG/stat.ML (ML preprints).
