# data visualisation and computational design

> field of research

**Wikidata**: [Q112936830](https://www.wikidata.org/wiki/Q112936830)  
**Source**: https://4ort.xyz/entity/data-visualisation-and-computational-design

## Summary  
Data visualisation and computational design is a field of research that combines techniques for visually representing data with computational methods to solve design problems. It is part of data science, focusing on extracting insights from data, and computational design, which applies computing to design processes. This interdisciplinary field enables innovative solutions in areas like parametric and generative design.

## Key Facts  
- **Parent fields**: Data science (sitelink_count: 57) and computational design (sitelink_count: 1).  
- **Classification**:  
  - ANZSRC 2008 FOR ID: 120304 ("Digital and Interaction Design").  
  - ANZSRC 2020 FOR ID: 330301 ("Data visualisation and computational (incl. parametric and generative) design").  
- **Instance of**: Academic discipline.  
- **Subclass of**: Data science.  
- **Has parts**: Data visualisation and computational design.  

## FAQs  
### Q: What is the relationship between data visualisation and computational design?  
A: Data visualisation focuses on representing data graphically, while computational design uses algorithms to automate or enhance design processes. Together, they form an interdisciplinary research field.  

### Q: How is this field classified academically?  
A: It is classified under ANZSRC 2020 FOR ID 330301, specifically as "Data visualisation and computational (incl. parametric and generative) design."  

### Q: What are practical applications of this field?  
A: Applications include generative art, parametric architecture, and interactive data dashboards, leveraging computational methods to solve design challenges.  

## Why It Matters  
Data visualisation and computational design bridge the gap between raw data and actionable insights, enabling clearer communication of complex information. In design, computational methods allow for innovative, scalable solutions, such as parametric architecture or generative art. This field is critical in industries like urban planning, healthcare, and technology, where data-driven decision-making and automated design processes enhance efficiency and creativity. By integrating visual and computational techniques, it pushes the boundaries of traditional design and data analysis.  

## Notable For  
- **Interdisciplinary approach**: Combines data science and computational design methodologies.  
- **Parametric and generative design**: Enables automated, algorithm-driven design solutions.  
- **Academic classification**: Recognized under ANZSRC 2020 as a distinct research field.  

## Body  
### Academic Classification  
- ANZSRC 2008 FOR ID: 120304 ("Digital and Interaction Design").  
- ANZSRC 2020 FOR ID: 330301 ("Data visualisation and computational design").  

### Parent Fields  
- **Data science**: Focuses on extracting insights from data (sitelink_count: 57).  
- **Computational design**: Applies computing to design activities (sitelink_count: 1).  

### Core Components  
- **Data visualisation**: Graphical representation of data.  
- **Computational design**: Algorithmic and parametric design methods.