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llm:20c012cc155b64b31c854b5761c1356aa5965a63879a9724e09a12172c306f08
Edit
I need to identify the categorical columns and find their most common values with frequencies. Let me start by checking what categorical columns exist in this dataset.
From the dataset card, I can see that `Species` is listed as a classifier with ~3 distinct values. Let me check if there are other categorical columns and get the value distributions.
```json
{
"action": "tool_call",
"reasoning": "The card shows Species as the main classifier. I should check the column metadata to confirm all categorical columns, then query their value distributions. Let me first inspect the columns to see their semantic roles and types.",
"tool": "inspect_columns",
"args": {
"table": "Iris"
}
}
```