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percentile interpolation, specialty mapping, and weighted average computations for 2024.\n\n---\n\n## 📦 What This Project Does\n\n✅ Combines multi-year survey tables (2019–2024)  \n✅ Interpolates percentiles from 10th to 90th  \n✅ Harmonizes specialty names using a common map  \n✅ Calculates **weighted averages** across surveys  \n✅ Outputs Tableau-ready benchmark tables\n\n---\n\n## 🛠️ Contents\n\n- `sql/Survey.sql`: Combines and cleans survey data\n- `sql/HSG National Blended survey.sql`: Creates blended benchmarking output\n- `outputs/provider_survey_schema.png`: Schema flow diagram\n- `outputs/combined_2024_data_sample.png`: Example raw table from Redshift\n- `outputs/combined_2024_tableau_view.png`: Output table in Tableau\n- `outputs/hsg_national_blended_view.png`: Weighted average view from Tableau\n\n---\n\n## 📊 Sample Outputs\n\n### 📘 Schema Overview\n![Schema](outputs/provider_survey_schema.png)\n\n### 📋 Combined Survey Data Table (Raw)\n![Raw Table](outputs/combined_2024_data_sample.png)\n\n### 📈 Clean Tableau-Formatted View\n![Tableau View](outputs/combined_2024_tableau_view.png)\n\n### 🧮 Weighted Average Benchmark Output\n![Blended View](outputs/hsg_national_blended_view.png)\n\n---\n\n## 🚀 How to Use\n\n1. Run the scripts in order:\n   - `Survey.sql`\n   - `HSG National Blended survey.sql`\n\n2. Query from:\n   ```\n   survey_benchmark_data.final outputs.\"combined provider survey data - 2024 all percentiles\"\n   ```\n\n3. Load results into Tableau\n---\n\n## 📄 License\n\nMIT License – See `LICENSE`\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnisaharan%2Fprovider-compensation-benchmarking","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnisaharan%2Fprovider-compensation-benchmarking","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnisaharan%2Fprovider-compensation-benchmarking/lists"}