{"columns":[{"alerts":[{"code":"long_tail","level":"info","message":"50 singleton categories"}],"column":"state","extras":{"singletons":50,"top_values":[["Alaska",1],["Hawaii",1],["Montana",1],["Wyoming",1],["Vermont",1],["West Virginia",1],["Maine",1],["New Mexico",1],["South Dakota",1],["North Dakota",1],["Oklahoma",1],["Arkansas",1],["Kentucky",1],["Mississippi",1],["Alabama",1],["Tennessee",1],["Louisiana",1],["South Carolina",1],["Missouri",1],["Kansas",1]]},"kind":"categorical","n":50,"n_null":0,"n_unique":50,"null_rate":0.0,"stats":{"cardinality":50,"entropy":5.643856189774725,"entropy_ratio":1.0000000000000002,"top_rate":0.02,"top_value":"Alaska"}},{"alerts":[],"column":"va_utilization_pct","extras":{"histogram":{"counts":[8,7,8,7,8,7,5],"edges":[13.8,17.871428571428574,21.942857142857143,26.014285714285712,30.085714285714285,34.15714285714286,38.22857142857143,42.3]},"sample":[42.3,41.8,40.5,39.2,38.7,38.1,37.5,36.9,36.3,35.8,35.2,34.7,34.1,33.6,33.1,32.5,32.0,31.4,30.9,30.3,29.8,29.2,28.7,28.1,27.6,27.0,26.5,25.9,25.4,24.8,24.3,23.7,23.2,22.6,22.1,21.5,21.0,20.4,19.9,19.3,18.8,18.2,17.7,17.1,16.6,16.0,15.5,14.9,14.4,13.8]},"kind":"numeric","n":50,"n_null":0,"n_unique":50,"null_rate":0.0,"stats":{"iqr":13.425000000000004,"kurtosis":-1.1247465927269564,"max":42.3,"mean":27.377999999999997,"median":27.3,"min":13.8,"n_outliers":0,"outlier_rate":0.0,"q1":20.549999999999997,"q3":33.975,"skew":0.0571939470592314,"std":8.155736431168794,"zero_rate":0.0}}],"insights":{"errors":[],"insights":[{"confidence":"high","critiques":[],"evidence_keys":["row_count","column_count","stats.min","stats.max","stats.mean","stats.median","stats.iqr","stats.std","n_unique"],"featured_charts":[{"caption":"Look for the spread and shape of utilization rates \u2014 the near-symmetric distribution hides a wide range from ~14% to ~42%.","column":"va_utilization_pct","kind":"histogram"},{"caption":"Rank states by VA utilization percentage to quickly spot which states have the highest and lowest veteran healthcare engagement.","column":"state","kind":"bar"},{"caption":"Compare the share of states falling above versus below the national mean of ~27% to assess whether high utilization is concentrated or widespread.","column":"va_utilization_pct","kind":"donut"}],"model":"anthropic:default","narrative":"This dataset contains one row per U.S. state (all 50, no nulls) with a single metric: the percentage of veterans utilizing VA healthcare. The utilization rate ranges from 13.8% to 42.3%, with a mean and median both near 27%, suggesting a roughly symmetric distribution across states. The wide spread \u2014 an IQR of about 13 percentage points and a standard deviation of ~8 points \u2014 means some states have nearly triple the VA uptake of others, which is worth investigating. Identifying which states cluster at the high and low ends could reveal geographic, demographic, or access-related patterns driving VA healthcare engagement.","scope":"dataset","target":"__global__"},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","cardinality","entropy_ratio","top_rate","top_value","null_rate"],"model":"anthropic:default","narrative":"This column contains U.S. state names and appears to be a reference or lookup table with exactly one row per state \u2014 all 50 U.S. states, each appearing exactly once. Cardinality equals n (50), entropy_ratio is exactly 1.0, and top_rate is 0.02 (1/50), confirming perfectly uniform distribution with zero duplication. The 'long_tail' alert is a false positive here: the distribution is maximally flat, not skewed.","role":"label","scope":"column","target":"state","treatment":"Use as a join key or dimension label; one-hot encoding would produce 50 sparse columns \u2014 prefer target encoding or a regional grouping instead."},{"confidence":"high","critiques":[],"evidence_keys":["mean","median","skew","kurtosis","min","max","iqr","n_unique","n","outlier_rate","null_rate"],"model":"anthropic:default","narrative":"This column represents a VA (Veterans Affairs) utilization percentage, likely measuring the share of eligible veterans using VA healthcare or benefits across 50 geographic or administrative units. The distribution is notably uniform and well-behaved: nearly symmetric (skew 0.057), platykurtic (kurtosis -1.12), no outliers, and all 50 values are unique across a tight range of 13.8\u201342.3%. The near-identical mean (27.38) and median (27.3) with a moderate IQR of 13.43 points suggest consistent utilization rates without extreme variation \u2014 unusual regularity for a real-world utilization metric.","role":"numeric_target","scope":"column","target":"va_utilization_pct","treatment":"Use as-is for regression or benchmarking; platykurtic distribution supports linear models without transformation."}],"providers":["anthropic:default"],"total_usage":{"completion_tokens":883,"prompt_tokens":2077,"total_tokens":2960}},"language_counts":{},"meta":{"generated_at":"2026-06-22T00:05:27+00:00","mode":"full","row_count":50,"sampled_rows":50,"seed":42,"source":"/home/coolhand/html/datavis/data_trove/demographic/veterans/military_firearm_va_healthcare.csv"},"notes":[],"saturn_version":"0.2.0","schema":{"state":"categorical","va_utilization_pct":"numeric"}}