With Data Anchor, we can anchor an intermediate data to isolate it's derivation context from it's predecessors. Tables created from the anchor will take the anchored table as direct input (not the original data).
This could be helpful for cleaning initial input data (so we always work with cleaned data afterwards), or when we want to focus our analysis into a subset of dataset.
Example 1: Clean table
Use anchor to clean the table, so that follow-up analysis are all build on top of the clean data. Analysis of director profit is based on the filtered data.
anchor-clean-data.mp4
Example 2: Analyze a subset
Create a subset from the original table to focus analysis. The AI agent will be less likely to be confused, analysis will be faster. The anchored asian-energy dataset includes only countries from Asia.
anchor-subset-analysis.mp4
Illustration
The anchored thread has it's own context --- no more access to the original data. Though, you have the option to add the original data back using "multi-table" approach from the previous release. You can also go back to the original data to create another branch there.
