The Automated Report Generation project is a Python-based solution that reads data from a file, analyzes it, and generates a well-structured PDF report. This project demonstrates data processing, analysis, and report automation using Python libraries such as pandas and ReportLab.
- Data Reading: Reads structured data from a CSV file.
- Data Analysis: Extracts key insights, including summary statistics.
- PDF Report Generation: Formats the data analysis into a structured PDF.
- Automated Workflow: Runs as a single script to process and generate reports.
- Read Data: The script reads data from a
CSV
file. - Analyze Data: It extracts key insights such as total entries, column names, and sample data.
- Generate PDF: The report is formatted and saved as a
PDF
file in thereports/
directory.
automated_report_generation/
│
├── data/
│ └── sample_data.csv # Sample data file for analysis
│
├── scripts/
│ ├── data_reader.py # Reads and preprocesses data
│ ├── data_analyzer.py # Analyzes the data
│ ├── pdf_report_generator.py # Generates the PDF report
│ └── main.py # Integrates all functionalities
│
├── reports/
│ └── report.pdf # Generated sample report
│
├── requirements.txt # Python dependencies
└── README.md # Project documentation
- Python 3.x installed
- Required dependencies listed in
requirements.txt
- Clone the repository:
git clone <repository-url> cd automated_report_generation
- Install dependencies:
pip install -r requirements.txt
- Run the main script:
python scripts/main.py
- The generated PDF report will be available in the
reports/
folder.
- Python (Scripting and automation)
- pandas (Data handling and analysis)
- ReportLab (PDF generation)
- Support for additional data formats (Excel, JSON, etc.)
- Interactive dashboard integration
- Customizable report templates
For any queries or contributions, feel free to reach out!
##Screenshots