Use this insight in a BlueConic dashboard to show the output of the last execution of a single cell of an AI Workbench notebook.
The Notebook single cell insight and its controls
This example shows how the Notebook single cell insight displays AI Workbench results for a single cell in a Jupyter notebook. (To visualize all cell outputs for a notebook, see the Notebook - All cells insight.)
Configuration
Notebook (required)
Select or enter the name of the AI Workbench notebook whose output the insight will display.
Select cell number (required)
Enter the cell number (counting from top to bottom) whose output you'd like to visualize in the insight.
In order for the insight to display results, you need to execute or run the selected cell in your notebook first.
Interpreting the insight:
Bubble colors: The colors of the bubbles represent the sum of the Recency, Frequency, and Monetary (RFM) scores, ranging from 3 to 15. Warmer colors (e.g., in the (1,1,1) position) indicate lower scores, while cooler colors (e.g., in the (5,5,5) position) reflect higher scores, helping to distinguish positions in the 3D space.
Bubble size: Each bubble represents a group of profiles with a unique RFM score combination, and the size of the bubble corresponds to the number of profiles within that combination.
Score Assignment: Each consumer is assigned a score between 1 and 5 for each RFM dimension. The graph shows that the majority of profiles fall into the (Recency = 1, Frequency = 1, Monetary = 1) category, with a significant number of profiles having low RFM scores overall.
See also
To display the last execution of all cells of a notebook, or multiple selected cells, see the Notebook - All cells insight.