A team member has used a histogram to represent a dataset but the representation seems biased. What could be the potential issue?
- Improper choice of bin width
- Poor color choice
- The data was not cleaned properly
- The scale of the axes is wrong
One of the most common reasons a Histogram might appear biased is due to an improper choice of bin width. The bin width greatly affects the resulting shape and patterns. If the bins are too wide, important features may be hidden. If they are too narrow, the representation may appear too cluttered or noisy.
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