Unsupervised learning uses algorithms to group and organize data based on similarities and differences, revealing patterns without specific labels or guidance.  For example, it can group together slices of “good and bad” pizza based on nutritional values.  Students generated scatterplots of pizza nutritional values and discussed. 

Patterns and Trends:

Are there any noticeable patterns or trends in the distribution of data points?  Do certain groups of data points cluster together? Why might this be the case? Are there any outliers that stand apart from the rest of the data?