Bar and line charts dominate data visualizations, making up about 80% of what is typically seen, and while creating them in Metabase is quick, the emphasis here is on improving their effectiveness and choosing the right type for the data story being told. Line and area charts are ideal for continuous data, such as trends over time, while bar charts are better suited for comparing totals across categories. The article provides guidance on enhancing chart clarity and readability, such as ordering data for bar charts from largest to smallest, displaying values directly on charts to avoid unnecessary back-and-forth with axes, and using colors carefully to convey the correct sentiment or emphasis. It also discusses the complexities of stacked charts, suggesting that stacking should only be used when data logically accumulates, and warns that stacked area charts can distort perceptions of change. By applying these strategies, users can create clearer, more informative visualizations that effectively communicate insights.