Making a bar plot showing age and race involves using bars to display the average age for different racial groups. Each bar represents a group, and its height shows the average age for that group. This helps compare the average ages between different races, making it easier to see their age differences. white and unknown races are mostly shot at the same age.

Clustering algorithms are used in machine learning to group similar data points based on their features. There are different types of clustering algorithms, each with its own way of identifying clusters. K-means divides data into a set number of clusters by optimizing mean distances. Hierarchical clustering creates a hierarchy of clusters by merging or splitting them. DBSCAN identifies clusters by density, while Gaussian Mixture Models use Gaussian distributions to model data. Mean Shift finds dense regions without predefining the number of clusters. Spectral clustering uses eigenvectors to cluster data, and OPTICS ranks points according to density to discover clusters of various shapes. The algorithm choice depends on the data’s characteristics and the desired clustering outcomes.