What Are Insights?

Insights are categories that describe the selected column within the context of its dataset.

The insights that Explain delivers are based on the column type or aggregation that you chose and will vary according to the aggregation rule set for the chosen metric. Explain generates only the insights that makes sense for the column type that you chose.

Insight Type

Description

Basic Facts

Displays the basic distribution of the column's values. Column data is broken down against each of the dataset's measures.

This insight is available for all column types.

  • For a selected metric, this insight shows the distribution of the aggregated metric value for each member of each attribute column.
  • For a selected attribute, this insight shows the value of each metric in the dataset across the member values of the attribute.

 

Key Drivers

Shows the columns in the dataset that have the highest degree of correlation with the selected column outcome. Charts display the distribution of the selected value across each correlated attributes value.

This tab displays only when explaining attribute columns, or when explaining a metric column that has an average aggregation rule.

 

Segments

Displays the key segments (or groups) from the column values. Explain runs a classification algorithm on the data to determine data value intersections and identifies ranges of values across all dimensions that generate the highest probability for a given outcome of the attribute.

For example, a group of individuals of a certain age range, from a certain set of locations, with a certain range of years of education form a segment that has a very high probability of purchasing a given product.

This tab displays only when explaining attribute columns.

 

Anomalies

Identifies a series of values where one of the (aggregated) values deviates substantially from what the regression algorithms expect.

 


Last Published Friday, December 8, 2023