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llm:0007fb0685dcaf77119216f911ea1c7c8c8809fcea197cd82c68bf624fdee88d
Edit
{
"action": "final",
"content": "## Missing Values Analysis\n\nThree columns in the **b2b_sales_funnel_pipeline** table contain missing values:\n\n1. **close_date**: 2,089 missing values (**23.74%** of 8,800 rows)\n2. **close_value**: 2,089 missing values (**23.74%** of 8,800 rows)\n3. **engage_date**: 500 missing values (**5.68%** of 8,800 rows)\n\nThe identical missing counts for `close_date` and `close_value` (both 2,089 rows, 23.74%) suggest these nulls occur together — likely representing deals that haven't closed yet, so neither a close date nor a close value has been recorded.\n\nThe `engage_date` has a much lower missing rate at 5.68%, indicating most pipeline records have an engagement timestamp, but a small subset (500 rows) are missing this initial touchpoint date.\n\nAll other columns in the dataset appear to be complete with no missing values.",
"charts": [
{
"kind": "hbar",
"x": "column_name",
"series": [
"pct_missing"
],
"title": "Percentage of Missing Values by Column"
}
]
}