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Upload any CSV file and get a full EDA report with statistics, visualizations, and AI-generated insights — exportable as **HTML or PDF**.\n\n---\n\n## Features\n\n- Multi-agent pipeline (Data Profiler → Statistical Analyst → Visualization Expert → Report Writer)\n- Auto-generates charts: histograms, boxplots, correlation heatmap\n- Detects nulls, duplicates, outliers, and high correlations\n- Exports a clean **HTML report** per run\n- Exports a **PDF report** with embedded charts\n- Streamlit UI for easy file upload and report download\n- CLI support for terminal usage\n\n---\n\n## Visual Workflow\n\n```\n┌─────────────────────────────────────────────────────────────────────┐\n│                        USER INPUT                                   │\n│                  Upload CSV  (Streamlit UI / CLI)                   │\n└───────────────────────────┬─────────────────────────────────────────┘\n                            │\n                            ▼\n┌─────────────────────────────────────────────────────────────────────┐\n│                      CrewAI Orchestrator                            │\n│                  Sequential Multi-Agent Pipeline                    │\n└───────────────────────────┬─────────────────────────────────────────┘\n                            │\n          ┌─────────────────▼─────────────────┐\n          │         Agent 1                   │\n          │       Data Profiler               │\n          │  ─────────────────────────────    │\n          │  Tool  : DataLoaderTool           │\n          │  Output: Shape, Dtypes, Nulls,    │\n          │          Duplicates, Memory       │\n          └─────────────────┬─────────────────┘\n                            │\n          ┌─────────────────▼─────────────────┐\n          │         Agent 2                   │\n          │    Statistical Analyst            │\n          │  ─────────────────────────────    │\n          │  Tool  : StatsTool                │\n          │  Output: Mean, Std, Skewness,     │\n          │          Outliers, Correlations   │\n          └─────────────────┬─────────────────┘\n                            │\n          ┌─────────────────▼─────────────────┐\n          │         Agent 3                   │\n          │    Visualization Expert           │\n          │  ─────────────────────────────    │\n          │  Tool  : ChartTool                │\n          │  Output: Histograms, Boxplots,    │\n          │          Correlation Heatmap      │\n          └─────────────────┬─────────────────┘\n                            │\n          ┌─────────────────▼─────────────────┐\n          │         Agent 4                   │\n          │       Report Writer               │\n          │  ─────────────────────────────    │\n          │  Tool  : GPT-4o (LLM only)        │\n          │  Output: Full EDA Report          │\n          │          in Markdown              │\n          └─────────────────┬─────────────────┘\n                            │\n            ┌───────────────┴───────────────┐\n            ▼                               ▼\n┌───────────────────┐           ┌───────────────────┐\n│   HTML Report     │           │   PDF Report      │\n│  (Jinja2 Template)│           │  (xhtml2pdf)      │\n│  outputs/reports/ │           │  outputs/reports/ │\n└───────────────────┘           └───────────────────┘\n            │                               │\n            └───────────────┬───────────────┘\n                            ▼\n┌─────────────────────────────────────────────────────────────────────┐\n│                     Streamlit Dashboard                             │\n│        AI Insights  │  Charts Grid  │  Download HTML / PDF         │\n└─────────────────────────────────────────────────────────────────────┘\n```\n\n---\n\n## Tech Stack\n\n| Layer | Technology |\n|---|---|\n| Agent Orchestration | CrewAI |\n| LLM | OpenAI GPT-4o |\n| Data Processing | Pandas, NumPy, SciPy |\n| Visualization | Matplotlib, Seaborn |\n| Report (HTML) | Jinja2 HTML Template |\n| Report (PDF) | xhtml2pdf |\n| UI | Streamlit |\n| Logging | Loguru |\n\n---\n\n## Project Structure\n\n```\nEDA-Report-Generator/\n├── src/\n│   ├── agents/\n│   │   ├── data_profiler.py\n│   │   ├── statistical_analyst.py\n│   │   ├── visualization_expert.py\n│   │   └── report_writer.py\n│   ├── tasks/\n│   │   ├── profiling_task.py\n│   │   ├── stats_task.py\n│   │   ├── visualization_task.py\n│   │   └── report_task.py\n│   ├── tools/\n│   │   ├── data_loader.py\n│   │   ├── stats_tool.py\n│   │   └── chart_tool.py\n│   ├── crew/\n│   │   └── eda_crew.py\n│   ├── config/\n│   │   ├── agents.yaml\n│   │   └── tasks.yaml\n│   └── utils/\n│       ├── logger.py\n│       ├── file_helper.py\n│       └── pdf_helper.py\n├── templates/\n│   └── report_template.html\n├── outputs/\n│   ├── charts/          ← Generated charts per run\n│   └── reports/         ← Final HTML & PDF reports\n├── sample_data/\n│   └── sample.csv\n├── tests/\n│   ├── test_tools.py\n│   └── test_crew.py\n├── app.py               ← Streamlit UI\n├── main.py              ← CLI entry point\n└── requirements.txt\n```\n\n---\n\n## Setup\n\n### 1. Clone the repository\n```bash\ngit clone https://github.com/iampriyabrat14/EDA-Report-Generator.git\ncd EDA-Report-Generator\n```\n\n### 2. Create virtual environment\n```bash\npython -m venv venv\nvenv\\Scripts\\activate        # Windows\nsource venv/bin/activate     # Mac/Linux\n```\n\n### 3. Install dependencies\n```bash\npip install -r requirements.txt\n```\n\n### 4. Configure environment\n```bash\ncp .env.example .env\n# Add your OpenAI API key in .env\n```\n\n---\n\n## Usage\n\n### Run via Streamlit UI\n```bash\nstreamlit run app.py\n```\n\n### Run via CLI\n```bash\npython main.py --file sample_data/sample.csv\n```\n\n### Run Tests\n```bash\npytest tests/ -v\n```\n\n---\n\n## Agents\n\n| Agent | Role | Tool Used |\n|---|---|---|\n| Data Profiler | Shape, dtypes, nulls, duplicates, memory | DataLoaderTool |\n| Statistical Analyst | Mean, std, skewness, outliers, correlations | StatsTool |\n| Visualization Expert | Generates & saves charts | ChartTool |\n| Report Writer | Synthesizes all findings into final report | None (LLM only) |\n\n---\n\n## Output\n\nEach run generates a unique `run_id` (e.g. `20260531_143022_abc12345`) and produces:\n\n```\noutputs/\n├── charts/\n│   ├── hist_age_<run_id>.png\n│   ├── box_salary_<run_id>.png\n│   └── heatmap_<run_id>.png\n└── reports/\n    ├── eda_report_<run_id>.html\n    └── eda_report_<run_id>.pdf\n```\n\n---\n\n## Sample Dataset\n\nA built-in `sample_data/sample.csv` is included with 40 rows covering:\n`age`, `salary`, `experience_years`, `department`, `gender`, `performance_score`, `is_promoted`\n\n---\n\n## Author\n\n**Priyabrat Dalbehera**  \nSenior Software Engineer — GenAI & AI Systems  \n[GitHub](https://github.com/iampriyabrat14) | [LinkedIn](https://www.linkedin.com/in/priyabrat-dalbehera-p521/)\n","readmeExcerpt":"EDA Report Generator 🤖 An AI-powered Automated Exploratory Data Analysis (EDA) tool built with **CrewAI** multi-agent framework. 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