An outlier is a data point that significantly differs from the rest of the data in a dataset. It can be an unusually high or low value that does not follow the general trend of the data. Outliers can skew statistical analyses and should be carefully considered when interpreting results.
A cluster, on the other hand, is a group of data points that are closely grouped together in a dataset. Clusters can indicate trends or patterns in the data, such as similar characteristics or behaviors among the data points within the cluster.
On a scatter plot, outliers can be identified as data points that are far away from the main cluster of data points. They may appear as individual data points that are significantly distant from the rest of the points. Clusters, on the other hand, can be seen as groupings of data points that are closely packed together on the scatter plot. These clusters may form distinct patterns or groupings within the data.
3. Define an outlier and a cluster? How would you recognize it on a scatter plot?
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