Data visualization is the study of the visual representation of data. Maps and charts are the most common types of data visualization, but there are many more.
Data visualization (or data visualisation) is the creation and study of the visual representation of data, and is closely related to information graphics, information visualization, scientific visualization, and statistical graphics.
In recent years, data visualization has become an active area of research, teaching and development.
There are different approaches on the scope of data visualization. One common focus is on information presentation. From a computer science perspective data visualization is comprised of:
- Visualization algorithms and techniques
- Volume visualization
- Information visualization
- Multiresolution methods
- Modelling techniques
- Interaction techniques and architectures
- Infographics
There are several open source libraries that can be used to produce data visualizations including matplotlib and seaborn for Python and d3.js for JavaScript.