{
    "action": "tool_call",
    "reasoning": "I need to compute Cramér's V association strength for categorical variable pairs. I'll calculate chi-square statistics for key pairs to identify the strongest associations.",
    "tool": "query_sql",
    "purpose": "Compute chi-square statistics and Cramér's V for categorical variable pairs to measure association strength",
    "args": {
        "sql": "WITH gender_activity AS (SELECT Gender, Activity, COUNT(*) as obs FROM raw.ittf_player_info WHERE Gender IS NOT NULL AND Activity IS NOT NULL GROUP BY Gender, Activity), totals AS (SELECT SUM(obs) as n, COUNT(DISTINCT Gender) as r, COUNT(DISTINCT Activity) as c FROM gender_activity), expected AS (SELECT ga.Gender, ga.Activity, ga.obs, (SELECT SUM(obs) FROM gender_activity WHERE Gender = ga.Gender) * (SELECT SUM(obs) FROM gender_activity WHERE Activity = ga.Activity) / t.n as exp FROM gender_activity ga CROSS JOIN totals t), chi_sq AS (SELECT SUM(POWER(obs - exp, 2) / exp) as chi2, (SELECT n FROM totals) as n, (SELECT r FROM totals) as r, (SELECT c FROM totals) as c FROM expected) SELECT 'Gender vs Activity' as pair, chi2, SQRT(chi2 / (n * LEAST(r - 1, c - 1))) as cramers_v FROM chi_sq"
    }
}