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Interactive visual analysis refers to the process of exploring and interpreting data through interactive visual representations. It combines techniques from data visualization, human-computer interaction, and data analysis to allow users to engage with data in a dynamic and intuitive way. Here are some key aspects of interactive visual analysis: 1. **Interactivity**: Users can manipulate visual elements in real-time, such as zooming in on specific data points, filtering data, changing visual representations, or adjusting parameters.

Ancestors (6)

  1. Visualization (graphics)
  2. Computational science
  3. Applied mathematics
  4. Fields of mathematics
  5. Mathematics
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