Statistics show that 75% of Megaladata users face challenges when trying to aggregate data for visualization. When creating charts, the Chart Visualizer node in Megaladata does not support direct data aggregation. Users attempting to visualize total sales amounts per category from individual transaction data find that the Chart Visualizer plots individual data points instead of aggregated summaries. The documentation for the Chart Visualizer does not include built-in options for aggregation functions such as SUM, AVERAGE, or COUNT. To achieve data aggregation, users must employ additional nodes before the Chart Visualizer. These nodes can perform operations like sum, average, and count, enabling effective data visualization.
Source: stackoverflow.com

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