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Automated Report Generation

Overview

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.

Features

  • 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.

How It Works

  1. Read Data: The script reads data from a CSV file.
  2. Analyze Data: It extracts key insights such as total entries, column names, and sample data.
  3. Generate PDF: The report is formatted and saved as a PDF file in the reports/ directory.

Directory Structure

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

Installation & Usage

Prerequisites

  • Python 3.x installed
  • Required dependencies listed in requirements.txt

Steps to Run

  1. Clone the repository:
    git clone <repository-url>
    cd automated_report_generation
  2. Install dependencies:
    pip install -r requirements.txt
  3. Run the main script:
    python scripts/main.py
  4. The generated PDF report will be available in the reports/ folder.

Technologies Used

  • Python (Scripting and automation)
  • pandas (Data handling and analysis)
  • ReportLab (PDF generation)

Future Enhancements

  • Support for additional data formats (Excel, JSON, etc.)
  • Interactive dashboard integration
  • Customizable report templates

Contact

For any queries or contributions, feel free to reach out!

##Screenshots

Screenshot 2025-01-25 185913 Screenshot 2025-01-25 190002 Screenshot 2025-01-25 190033

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