Hub Loader Transforms
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Overview of Hub Loader Transforms
Note: This feature is behind a toggle. For access, please contact innovations@forsta.com. 1: OverviewHub Loader transforms are used to modify or generate dat...
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Creating and Modifying Tables with Transforms
1: SummaryUse the tabletransform to add or update variables in an existing table. This transform is ideal for enriching datasets with calculated fields or re...
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Using Table Dimension Transforms
1: SummaryThe table dimension transform creates a table where each row represents a dimension from a specified dimensionGroup. It’s commonly used to calculat...
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Unpivoting Tables with Table UnPivot Transforms
1: SummaryThe table unPivot transform creates a new table where each row represents a variable from a list or dimensionGroup. This is useful when you want to...
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Creating Dimension Groups
1: SummaryThe dimensionGroup transform is used to organize related questions into dimensions for scoring and reporting. A dimension typically represents a th...
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Recoding Data with Ranges and Values
1: SummarySmartHub allows you to recode values using two flexible transformation types:recoding ranges — map numeric intervals to string values (e.g., scores...
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Understanding Expressions and Functions in Transforms
1: SummaryHub Loader transforms support an extensive set of expressions and functions that allow you to:Perform math and logic operationsFilter data conditio...
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Mapping CDL with Surveys
1: SummaryUse Mapping CDL to rename or restructure survey content when combining multiple surveys or standardizing schema across projects. The mapping autoco...
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Deprecated Transforms and Functions
1: SummaryAs SmartHub evolves, some transform types and functions have been deprecated (retired or replaced) to improve consistency, performance, and clarity...