Added README file

README.md

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+# Yelp Business Economic Indicators Dataset
+
+## Dataset Overview
+
+This dataset combines business information from the **Yelp Open Dataset** with economic indicators for each business's county. The goal is to provide a structured dataset that can be used for predictive modeling, such as estimating the likelihood of a business remaining open or closed based on local economic conditions.
+
+Each row corresponds to a single business from the Yelp dataset and includes:
+
+- Business attributes (rating, open/closed status, location)
+- County-level economic indicators from multiple official sources
+
+---
+
+## Sources
+
+1. **Yelp Open Dataset**  
+   Yelp. *Yelp Open Dataset*. [https://www.yelp.com/dataset](https://www.yelp.com/dataset)  
+   Provides business-level information including ratings, open/closed status, latitude/longitude, and basic location metadata.
+
+2. **Economic Indicators**
+
+   - **BLS Quarterly Census of Employment and Wages (QCEW)**  
+     U.S. Bureau of Labor Statistics. [https://www.bls.gov/cew/](https://www.bls.gov/cew/)  
+     Contains average weekly wages and other employment data at the county level.
+
+   - **FRED – Federal Reserve Economic Data**  
+     Federal Reserve Bank of St. Louis. [https://fred.stlouisfed.org/](https://fred.stlouisfed.org/)  
+     Provides per capita personal income (PCPI) at the county level.
+
+   - **U.S. Census Bureau SAIPE / ACS**  
+     U.S. Census Bureau. [https://www.census.gov/programs-surveys/saipe.html](https://www.census.gov/programs-surveys/saipe.html)  
+     Contains poverty rates, median household income, and unemployment rates at the county level.
+
+---
+
+## Dataset Columns
+
+| Column | Description |
+|--------|-------------|
+| `business_id` | Unique Yelp business identifier |
+| `rating` | Yelp star rating (1–5) |
+| `is_open` | 1 if business is currently open, 0 if closed |
+| `latitude` | Latitude of business location |
+| `longitude` | Longitude of business location |
+| `fips` | County FIPS code |
+| `pcpi` | Per capita personal income (USD) |
+| `poverty_rate` | Poverty rate (%) |
+| `median_household_income` | Median household income (USD) |
+| `unemployment_rate` | County unemployment rate (%) |
+| `avg_weekly_wages` | Average weekly wage (USD) |
+
+---
+
+## Usage Notes
+
+- Some rows may contain missing values; consider dropping or imputing them depending on your analysis.
+- County-level economic indicators are mapped based on business latitude and longitude.
+- The dataset is designed for predictive modeling and exploratory data analysis.  
+
+---
+
+## License
+
+This dataset is provided under the **CC BY 4.0 License**. Users must provide appropriate credit when using this dataset in research or applications.
+
+- Yelp data terms: [https://www.yelp.com/dataset/terms](https://www.yelp.com/dataset/terms)
+- Economic indicator sources are public domain / government sources.
+
+---
+
+## Example Usage
+
+```python
+import pandas as pd
+from datasets import load_dataset
+
+# Load Parquet locally
+df = pd.read_parquet("yelp_fred_merged.parquet")
+print(df.head())
+
+# Or load from Hugging Face
+from datasets import load_dataset
+dataset = load_dataset("your-username/business-risk-prediction-dataset")
+df = dataset['train'].to_pandas()