Clustering analysis has a wide variety of use cases, including harnessing spatial data for grouping stores by location, performing customer segmentation or even insurance fraud detection. Clustering analysis groups individual observations in a way that each group (cluster) contains data that are more similar to one another than the data in other groups. Included with the Predictive Tools installation, the K-Centroids Cluster Analysis Tool allows you to perform cluster analysis on a data set with the option of using three different algorithms; K-Means, K-Medians, and Neural Gas. In this Tool Mastery, we will go through the configuration and outputs of the tool.
Don’t know the area of your polygon? Need the length of your line? Do you want your spatial object’s X and Y coordinates? Don’t Panic! The Spatial Info tool can translate all that information and more!
Imagine this – you’re on vacation. You’re on a sandy beach where the sun has been relentless all day. It’s hot and you need something to cool you off. Ice cream would be perfect! The Find Nearest tool can help!
The Create Points Tool is the ‘Bonnie’ to your Clyde of any spatial analyses. The Create Points Tool allows you to take your latitude and longitude, often the spatial fields included in datasets, and convert them to a format that can play with Alteryx Spatial toolset. If your dataset lacks the latitude and longitude fields needed there are numerous free websites, geocoders, or geocoding APIs where this information is available.
When it comes to spatial analyses, few tools come up more than the Trade Area Tool. Whether you’re looking to pad polygons around your spatial objects in distance or drive time, you won’t need to make a trade-off - just the Trade Area Tool.