32c6d3cc00
Interactive explorer with 6 tabs: - ASP Pricing: product-level time series with $127.28 flat rate line - Market: manufacturer revenue bar chart, product category breakdown - Geographic: state spend/bene, MAC jurisdiction comparison - Setting: specialty x setting spend analysis - Anomaly: provider risk scatter (volume vs intensity z-scores) - Evidence: source distribution, study characteristics summary Snippet: skin-subs-connect.py for quick DuckDB table inventory. Updated snippet count test from 10 to 11.
45 lines
743 B
Python
45 lines
743 B
Python
import marimo
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__generated_with = "0.20.4"
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app = marimo.App()
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@app.cell
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def _(mo):
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mo.md(r"""
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# Skin Substitutes: Connect to DuckDB
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Load all 17 skin_subs tables for analysis.
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""")
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return
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@app.cell
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def _():
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import polars as pl
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from conf import connect
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con = connect.duckdb()
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# Quick inventory
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tables = con.execute("""
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SELECT table_name, (
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SELECT count(*) FROM skin_subs. || table_name
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) as row_count
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FROM information_schema.tables
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WHERE table_schema = 'skin_subs'
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ORDER BY table_name
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""").fetchdf()
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return con, connect, pl, tables
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@app.cell
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def _():
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import marimo as mo
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return (mo,)
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if __name__ == "__main__":
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app.run()
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