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README.md

@@ -1,8 +1,7 @@
 ---
 license: cc-by-4.0
 task_categories:
-  - tabular-classification
-  - tabular-regression
+  - feature-extraction
 language:
   - en
 tags:
@@ -19,144 +18,56 @@ tags:
 pretty_name: US Military & Veteran Analysis by State
 size_categories:
   - n<1K
-dataset_info:
-  features:
-    - name: NAME
-      dtype: string
-    - name: state
-      dtype: string
-    - name: veteran_population
-      dtype: int64
-    - name: veteran_percentage
-      dtype: float64
-    - name: active_duty_personnel
-      dtype: int64
-    - name: ownership_percentage
-      dtype: float64
-    - name: ffl_count
-      dtype: int64
-    - name: veteran_suicide_rate
-      dtype: float64
-    - name: civilian_suicide_rate
-      dtype: float64
-    - name: veteran_risk_ratio
-      dtype: float64
-    - name: ptsd_prevalence_pct
-      dtype: float64
-    - name: va_utilization_pct
-      dtype: float64
-  splits:
-    - name: train
-      num_examples: 51
 ---
 
 # US Military & Veteran Analysis by State
 
-State-level integration of veteran demographics, firearm ownership, mental health indicators, and VA healthcare utilization from 6 authoritative sources.
+50 states: veterans, firearms, PTSD, suicide rates, VA healthcare
 
-## What's Inside
+State-level integration of veteran demographics, firearm ownership, mental health indicators, and VA healthcare utilization from Census ACS, RAND, ATF, CDC, VA, and DoD.
 
-- 51 records (50 states + DC)
-- Veteran population and percentage
-- Firearm ownership rates (RAND 2016)
-- Suicide rates: veteran vs civilian
-- PTSD prevalence estimates
-- VA healthcare utilization
+## Dataset Structure
 
-## Why This Dataset Exists
-
-No single source provides this combined view. This integration allows correlation analysis across:
-
-- Veteran demographics and military presence
-- Mental health indicators (suicide, PTSD)
-- Firearm access and ownership
-- Healthcare system utilization
-
-## Data Sources
-
-| Data | Source | Year |
-|------|--------|------|
-| Veteran population | Census ACS | 2022 |
-| Firearm ownership | RAND Corporation | 2016 |
-| FFL counts | ATF | 2023 |
-| Suicide rates | CDC WONDER | 2021 |
-| PTSD, VA utilization | VA | 2022 |
-| Active duty, economic impact | DoD DMDC | 2023 |
-
-## Key Metrics
-
-| Field | Description |
-|-------|-------------|
-| veteran_risk_ratio | Veteran suicide rate / civilian rate |
-| ptsd_prevalence_pct | PTSD prevalence among veterans |
-| va_utilization_pct | % of veterans using VA healthcare |
-| ffl_per_100k | Federal Firearms Licensees per 100K population |
+See `demo_notebook.ipynb` for data exploration examples.
 
 ## Usage
 
 ```python
-import pandas as pd
+from datasets import load_dataset
 
-df = pd.read_csv('military_firearm_merged_analysis.csv')
-print(f"States: {len(df)}")
+# Load the dataset
+dataset = load_dataset("lukeslp/us-military-veteran-analysis")
 
-# States with highest veteran risk ratio
-high_risk = df.nlargest(10, 'veteran_risk_ratio')[['NAME', 'veteran_risk_ratio']]
-print(high_risk)
-
-# Correlation between firearm ownership and veteran suicide
-correlation = df['ownership_percentage'].corr(df['veteran_suicide_rate'])
-print(f"Firearm-suicide correlation: {correlation:.3f}")
+# Or load from local files
+import json
+with open('data.json') as f:
+    data = json.load(f)
 ```
 
-## Limitations
-
-- RAND firearm data is from 2016 (most recent publicly available)
-- CDC suppresses data for states with <10 deaths
-- VA data covers enrolled veterans only
+## Citation
 
-## License
+```bibtex
+@dataset{us_military_veteran_analysis_2026,
+  title = {US Military & Veteran Analysis by State},
+  author = {Steuber, Luke},
+  year = {2026},
+  url = {https://huggingface.co/datasets/lukeslp/us-military-veteran-analysis}
+}
+```
 
-CC-BY-4.0 (All source data is public domain; integration by Luke Steuber)
 
 ## Distribution
 
+- **GitHub**: [lukeslp/us-military-veteran-analysis](https://github.com/lukeslp/us-military-veteran-analysis)
 - **Kaggle**: [lucassteuber/us-military-veteran-analysis](https://www.kaggle.com/datasets/lucassteuber/us-military-veteran-analysis)
-- **HuggingFace**: [lukeslp/us-military-veteran-analysis](https://huggingface.co/datasets/lukeslp/us-military-veteran-analysis)
-- **GitHub Gist**: [Demo Notebook](https://gist.github.com/lukeslp/c5abf180c17602444b001bef54195775)
 
 ## Author
 
-Luke Steuber | luke@lukesteuber.com | @lukesteuber.com (Bluesky)
-
-## Structured Data (JSON-LD)
-
-```json
-{
-  "@context": "https://schema.org",
-  "@type": "Dataset",
-  "name": "US Military & Veteran Analysis by State",
-  "description": "State-level integration of veteran demographics, firearm ownership, mental health indicators, and VA healthcare utilization from 6 authoritative sources including Census ACS, RAND, CDC, and VA.",
-  "url": "https://www.kaggle.com/datasets/lucassteuber/us-military-veteran-analysis",
-  "sameAs": "https://huggingface.co/datasets/lukeslp/us-military-veteran-analysis",
-  "license": "https://creativecommons.org/licenses/by/4.0/",
-  "creator": {
-    "@type": "Person",
-    "name": "Luke Steuber",
-    "url": "https://lukesteuber.com"
-  },
-  "keywords": ["veterans", "military", "mental health", "suicide prevention", "VA healthcare", "demographics"],
-  "temporalCoverage": "2016/2023",
-  "spatialCoverage": {
-    "@type": "Place",
-    "name": "United States"
-  },
-  "distribution": [
-    {
-      "@type": "DataDownload",
-      "encodingFormat": "text/csv",
-      "contentUrl": "https://www.kaggle.com/datasets/lucassteuber/us-military-veteran-analysis"
-    }
-  ]
-}
-```
+**Luke Steuber**
+- Website: [lukesteuber.com](https://lukesteuber.com)
+- Bluesky: [@lukesteuber.com](https://bsky.app/profile/lukesteuber.com)
+- Email: luke@lukesteuber.com
+
+## License
+
+CC-BY-4.0