Every time you publish a chart that doesn’t start at zero, someone will appear in the comments accusing you of misleading your audience. But the truth is simple: not every dataset lives anywhere near zero.
When working with high-value metrics – like atmospheric pressure, energy usage, or financial KPIs – starting a chart at zero often flattens the trend and hides important variation. Simply removing zero can help, but it can also exaggerate small fluctuations, making lines appear more dramatic than they really are. In this guide, I’ll show how to visualize high-baseline data in Tableau using dynamic axis adjustments, reference lines, and buffer zones to create accurate, readable, and visually balanced charts.
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