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Visualizations play a crucial role in data storytelling as they help to amplify the central message behind numbers. They shift the lens from basic categorical breakdowns to reveal more dynamic relationships. For instance, a graph can draw lines between two categorical axes, such as department and project. The thickness of each line can indicate the magnitude of contribution or the level of involvement, prompting immediate questions about resource allocation, workload balance, and potential bottlenecks. Thus, visualizations make it easier to understand and interpret complex data.
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The shifts the lens from basic categorical breakdowns to reveal more dynamic relationships. The graph draws lines between two categorical axes, such as "department" on one side and "project" on the other. Each line's thickness can indicate the magnitude of contribution or the level of involvement, prompting immediate questions about resource allocation, workload balance, and potential bottlenecks.
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Do you struggle to make sense of volumes of disparate data points? Our Data Storytelling presentation shares a unique variety of visualizations to amp...
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