In small data sets, features of displays may not be meaningful
Be careful not to overinterpret patterns in small data sets. Clusters, outliers or skewness may appear by chance even if there is no meaningful basis to these features.
Random data
Steel Works Slag
If outliers or clusters are pronounced, they may be taken as indicative of something meaningful in the underlying process. However less pronounced outliers or clusters must be supported by outside evidence before these features can be interpreted as meaningful.