Detecting and Analyzing Clusters
Clustering is a data mining and machine learning technique used to group (cluster) the items of one dimension based on the values of one or more measures. Given the number of distinct dimension items, such as products or customers, and the number of measures describing those items, clustering is a powerful method of exploring data to discover relationships not easily detected with standard reporting and analysis techniques. Power BI Desktop provides built-in support for the creation of clusters and allows these clusters to be managed, revised, and used in Power BI reports like other columns in the data model.
In this recipe, a customer cluster is created based on the sales amount, the count of orders, and the count of days since the last purchase. DAX measures are created to support this analysis, and a Scatter Chart visual is created to further analyze the clusters.
Getting ready
To prepare for this recipe, follow these steps:
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