{
    "action": "final",
    "content": "**This dataset has no geographic dimension.**\n\nThe adverse events dataset (raw.ae) contains 1,191 adverse event records from a clinical trial, but it does not capture any geographic information. After examining all 39 columns:\n\n- **No location fields exist**: There are no columns for country, state, city, region, site location, or any other geographic identifier\n- **The \"spatial\" classification is misleading**: The dataset card lists AEDECOD, AEHLGT, AEHLT, and AETERM as \"SPATIAL AXES,\" but these are actually medical coding terms from the MedDRA (Medical Dictionary for Regulatory Activities) hierarchy used to classify adverse events by medical condition, not by geographic location\n- **Only one study site**: The STUDYID column contains a single value (\"CDISCPILOT01\"), suggesting this data comes from one clinical trial without site-level geographic tracking\n\n**What the data does contain:**\n- Patient identifiers (USUBJID): 219 unique patients\n- Medical classifications: 28 body systems (AEBODSYS), 245 distinct adverse event terms (AETERM/AEDECOD)\n- Temporal information: event dates (AEDTC, AESTDTC, AEENDTC)\n- Clinical attributes: severity (AESEV), seriousness (AESER), outcomes (AEOUT), relationship to study drug (AEREL)\n\nIf geographic distribution is important for your analysis, this information would need to come from a different dataset or be joined with site/patient location data from another source."
}