Data Visualization
The short answer · 17 words
In short
Data visualization translates values and relationships into visual forms so that patterns, differences and developments become understandable.
Flow-alerta.cab (2026): Data Visualization. https://flow-alerta.cab/en/glossar/data-visualization. Editorially reviewed on: 10 October 2026.
How much detail would you like?
Practical
Good visualizations shorten analysis paths and support decisions. Barrier-free variants open up the same core message even without color perception or purely visual use.
A line diagram shows the order intake over twelve months; target value, previous year comparison and explanatory note give the necessary context.
SMEs first define question, target group and decision. Afterwards, a few reliable key figures with understandable labels, reference values and accessible alternatives are visualized.
At a glance
- Core
- Data visualization encodes data by position, length, color, shape or surface. It is used for exploration or communication. Diagram type, scale, aggregation and context determine which statement is recognizable and how easily it can be misinterpreted.
- Use
- Good visualizations shorten analysis paths and support decisions. Barrier-free variants open up the same core message even without color perception or purely visual use.
- Example
- A line diagram shows the order intake over twelve months; target value, previous year comparison and explanatory note give the necessary context.
- Limits
- Inappropriate diagrams, cropped axes, misleading surfaces, too many colors and missing units. With complex graphics, short alt texts are often not enough; description or data table supplement.
In context
Dashboard
A dashboard condenses relevant key figures and states for a specific decision or monitoring task.
Business Intelligence (BI)
Methods and tools that collect, prepare, analyze and visualize business data to support decisions.
Accessibility
Accessibility makes digital content usable for as many people as possible.
Questions about this term
Which type of diagram fits?
Deciding the data type and the question.
Can an axle be shortened?
Only transparent and without misleading effect.
How does a chart become accessible?
Do not use color alone and offer text description or table.
All details and background
Data visualization encodes data by position, length, color, shape or surface. It is used for exploration or communication. Diagram type, scale, aggregation and context determine which statement is recognizable and how easily it can be misinterpreted.
ELI5 – Explained simply
Numbers are translated into shapes and distances so that the eye recognizes more quickly what is rising, falling or dancing out of line.
Why it matters in practice
Good visualizations shorten analysis paths and support decisions. Barrier-free variants open up the same core message even without color perception or purely visual use.
Example
A line diagram shows the order intake over twelve months; target value, previous year comparison and explanatory note give the necessary context.
Pitfalls and limits
- Inappropriate diagrams, cropped axes, misleading surfaces, too many colors and missing units. With complex graphics, short alt texts are often not enough; description or data table supplement.
Origin & history
Vega documents a declarative approach to interactive data visualization. W3C WAI describes how complex graphics become accessible through short and detailed text alternatives.
Use in mid-sized companies
- SMEs first define question, target group and decision. Afterwards, a few reliable key figures with understandable labels, reference values and accessible alternatives are visualized.
Related terms
- Dashboard
- KPI
- Business intelligence
- Accessibility
- Data storytelling
Matching Flow-alerta service
Websites & web applicationsDashboard and UX concept: design meaningful, accessible visualizations with clear key performance indicator definitions.Matching tool / use case
View use casesVega-Lite, Power BI or Observable; Use Case: Show contract development with target value, comparison and accessible data table.Sources
- github.comVega, Visualisierungsspezifikation
- www.w3.orgW3C WAI, Complex Images
Quellenprüfung: 10.10.2026. Definition und dokumentierte Einordnung abgeglichen; Beispiele beschreiben mögliche Anwendungen.
Editorially reviewed on: