To access the nonspatial analysis capabilities, click the Action button 
on a map, chart, or table card.
Nonspatial analysis does not consume credits.
The following table provides an overview of each nonspatial analysis capability:
| Analysis capability | Description | Example questions |
|---|---|---|
Calculate Ratio uses a simple division equation to determine the relationship between two number variables. Inputs: Two number or rate/ratio fields | How is it related? How do obesity rates differ between urban and rural residents? | |
Calculate % Change uses initial values and final values to calculate change over time. Inputs: Two number or rate/ratio fields | How has it changed? What is the percentage of losses or gains for each commodity? | |
Calculate Z-Score returns the z-score values for each feature in a dataset based on a specified field. The z-score is a measure of the distance of each value from the mean using standard deviation. Inputs: One number field | How is it distributed? How does the crime rate in a certain district compare to the mean? | |
Create Regression Model models the relationship between two or more explanatory variables and a response variable by fitting a linear equation to observed data. Inputs:
| How is it related? Which variables have the most effect on the total sales at each store location? | |
Predict Variable uses the linear model created through regression analysis to predict new values in a dataset. Input: One regression model | How is it related? What are the expected future levels of carbon emissions based on trends in vehicle usage, renewable energy uptake, and economic growth? | |
Find K-Means Clusters categorizes data into groups or clusters that maximize the similarities of features within each cluster while also maximizing the difference between clusters. Note:You can use Find K-Means Clusters to create clusters based on location (spatial analysis) or attribute values (nonspatial analysis). Inputs: One or more number fields | How is it distributed? How are customers clustered by income level? How are universities and colleges clustered by cost? |
Additional resources
Use the following resources to learn more about analysis: