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Data visualization is "the graphical presentation of information, with the goal of providing the viewer with a qualitative understanding of the information contents" (WPI). It uses "visual representations to explore, make sense of, and communicate quantitative data" (Perceptual Edge). "Effective visualization helps users analyze and reason about data and evidence. It makes complex data more accessible, understandable, and usable. ... It is one of the steps in data analysis or data science" (Wikipedia).
"Data visualization is typically achieved by extracting data from the underlying IT system. This data is generally in the form of numbers, statistics, and overall activity. The data is processed using data visualization software and is displayed on the system's dashboard" (Techopedia).
"Data visualization is both an art and a science" (Wikipedia).
More from the data glossary
A definitive guide to data definitions and trends, from the team at Stitch.
- Analytics
- Big data
- Business intelligence (BI)
- Common table expression
- Data analytics
- Data architecture
- Data engineering
- Data enrichment
- Data exploration
- Data ingestion
- Data integration
- Data lake
- Data migration
- Data mining
- Data modeling
- Data pipeline
- Data preparation
- Data science
- Data visualization
- Data warehouse
- Data Wrangling: Definition and Examples
- Database
- Deduplication
- ELT
- ESB - What is an Enterprise Service Bus?
- ETL
- ETL pipeline
- Information lifecycle management (ILM)
- Machine learning
- Master data management (MDM)
- SaaS
- Service-oriented architecture (SOA)
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