What is the primary goal of data visualization methods in streaming data operations?

The primary goal of data visualization methods in streaming data operations is to create visual representations targeted at human consumers. This approach allows complex data sets to be translated into a format that is easier to understand and interpret. Visualization techniques, such as graphs, charts, and plots, help to highlight trends, patterns, and anomalies in real-time data, making it accessible for decision-makers and stakeholders. By converting raw data into visual formats, users can quickly grasp insights that would be difficult to extract from raw numbers alone.

While reducing data size, deriving patterns from datasets, and summarizing time series data are all important aspects of working with data, they are more about data processing and analysis rather than the central focus of visualization itself. Visualization specifically emphasizes the need to present this information in a way that is intuitive and engaging for human comprehension, which directly aligns with the needs of users seeking actionable insights from streaming data.