1 / 5
When a chart shows consistent growth over time with values increasing from left to right, you say:
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The chart shows a clear upward trend — this is how you describe consistent growth patterns when presenting data to stakeholders.
2 / 5
When you adjust a metric to account for differences in scale (e.g., per 1000 users instead of raw count), the metric is described as:
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The metric is normalized to per-1000 users — normalization makes comparisons fair across groups of different sizes.
3 / 5
When a chart makes a small difference appear large because the vertical axis starts at 80% instead of 0%, the chart is described as:
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The chart is misleading — the y-axis starts at 80% not 0%. Always check axis ranges when reviewing charts to avoid being deceived.
4 / 5
When a presentation begins with the key finding or conclusion before showing the underlying data, this approach is called:
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The data story leads with the insight not the data — lead with 'We saw a 40% drop in conversion' then explain why, not the other way around.
5 / 5
When a metrics dashboard updates its charts automatically without manual refresh, it is described as:
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The dashboard auto-refreshes — this ensures stakeholders always see current data without needing to manually reload the page.