Compute statistics for data analysis
This example pipeline demonstrates how to compute data statistics with and without Value distribution enabled.
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Configure the JSON Generator Snap to pass your input data.
Note: In this example, we use the JSON Generator Snap. However, you can replace the JSON Generator Snap with any Snap of your choice, such as the Chunker, Constant, File Reader, or S3 File Reader Snaps.
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Configure the Profile Snap to compute
data statistics with Value distribution enabled, providing comprehensive insights into your dataset's characteristics.
On validation, the Snap displays a summary of the computed data statistics, including measures such as mean, median, mode, standard deviation, and more.
Profile Snap (with Value distribution) Configuration Profile Snap (with Value distribution) Output 
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Configure the Profile Snap to compute
data statistics with Value distribution disabled, providing a basic summary of key
statistical measures such as mean, median, mode, standard deviation, and others.
On validation, the Snap displays a summary of the computed data statistics, including measures such as mean, median, mode, standard deviation, and more.
Profile Snap (without Value distribution) Configuration Profile Snap (without Value distribution) Output 
Note: After the data is generated, you can use Snaps such as the Filter and Aggregate Snaps for advanced processing. Further, you can use GenAI Builder to integrate machine learning models.
- Download and import the pipeline into SnapLogic.
- Configure Snap accounts as applicable.
- Provide pipeline parameters as applicable.