Strong data visualizations enhance analytics adoption by turning raw data into engaging, easy-to-understand stories. This guide outlines 16 visualization types, including pie, scatter, stacked bar, bubble, funnel, pyramid, area, heat map, and sparklines, each suited for different use cases from comparisons to process tracking. It explains the value of static charts for stable data and animated visuals for interactivity, as well as drilldowns and drillthroughs for deeper exploration. By matching the right visualization to the right dataset, product teams can increase user satisfaction, drive insights, and improve decision-making.

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