Visual discovery is widely used in various real-world scenarios. For instance, in healthcare, it can be used to visually represent patient data to identify patterns and trends, aiding in diagnosis and treatment plans. In finance, visual discovery can help in detecting fraudulent transactions by spotting anomalies in data. In retail, it can be used to understand customer behavior patterns and preferences. In all these scenarios, the data is large and complex, and visual discovery aids in making sense of it.
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