Clustering

Tableau 10 introduces the ability to quickly perform clustering analysis in your visualizations. This allows you to find groups, or clusters, of individual data points that are similar based on any number of variables of your choosing. This can be useful in many different industries and fields of study, for example:

• Marketing may find it useful to determine groups of customers related to each other based on spending amounts, frequency of purchases, times and days of orders, and so on

• Patient care directors in hospitals may benefit from understanding groups of patients related to each other based on diagnoses, medication, length of stay, and number of read missions

• Immunologists may search for related strains of bacteria based on drug resistance or genetic markers

• Renewable energy professionals would like to pinpoint clusters of windmills based on energy production and then correlate that with geographic location

Note

Tableau uses a standard k-means clustering algorithm that will yield...