What are the common mistakes in heatmap analysis?
Some common mistakes include misinterpreting data, ignoring context, and not considering sample size.
Can you explain how misinterpreting data happens?
Misinterpretation can occur when users focus on color intensity without understanding the underlying data distribution.
What context should I consider when analyzing heatmaps?
You should consider factors like user behavior, time of day, and the specific goals of your analysis.
How can I avoid these mistakes?
To avoid mistakes, always validate your data, understand the context, and use appropriate metrics for analysis.
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