The 9x Academic
Lesson 3 of 3
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0/4 checkpoints

Run your first .do file

~15 min

Run your first .do file

Now you will write a real analysis script and execute it. The agent will create a .do file — a script in the language used by StataTM — and run it through dodo, which compiles it to SQL and executes it on DuckDB.

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The pipeline

When you run a .do file, this happens:

  • dodoc compiles the .do file to SQL (DuckDB dialect)
  • DuckDB executes the SQL query
  • You see the result as a table
  • This is deterministic — same input, same output, every time. No model involved in the execution. The agent writes the code; dodo runs it.

    Your task

  • Ask the agent to write a .do file that summarizes trade values by country.
  • The file should go in src/summary_by_country.do (analysis scripts belong in src/).
  • Ask the agent to run it.
  • Check the output — does it make sense? Three countries, sorted by trade value.
  • Prompt to copy

    Write a .do file at src/summary_by_country.do that imports data/trade_data.csv, collapses trade_value by country, sorts by trade_value, and lists the result. Then run it.

    What the .do file should look like

    * Summarize trade data by country
    import delimited "data/trade_data.csv", clear
    collapse (sum) trade_value, by(country)
    sort trade_value
    list
    

    Note: the path to the CSV is relative to the workspace root, not to the src/ directory. The dodo tool runs from the workspace root.

    Checkpoints

  • Script created — A .do file exists at src/summary_by_country.do.
  • Script ran — The agent called run_do_file and it returned successfully.
  • Results correct — The output contains Poland, Hungary, and Germany with the right totals.
  • Data untouched — The original data/trade_data.csv was not modified (good practice: never overwrite source data).
  • Checkpoints

    1
    Script created
    2
    Script ran
    3
    Results correct
    4
    Data untouched

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