Job Advertisement Analysis

Overview

This project analyzes job advertisement data from JSON files, providing insights into job trends, salary distributions, and geographical distribution of job ads. It includes functionalities for data loading, cleaning, visualization, and text analysis.

Getting Started

Prerequisites

• Python 3.x
• Required Python packages: pandas, matplotlib, seaborn, nltk, geopandas, wordcloud

Installation

You can install the required packages using pip:

pip install pandas matplotlib seaborn nltk geopandas wordcloud

Usage

To analyze job ads data:

1. Clone the repository:

   git clone https://github.com/your_username/job-advertisement-analysis.git
   cd job-advertisement-analysis

2. Run the script to analyze job ads from a folder containing JSON files:

   python analyze_job_ads.py /path/to/your/json/data/folder

Features

• Data loading and analysis from JSON files
• Visualization of job advertisement trends (time-series plots, histograms)
• Text analysis (finding common bigrams, generating word clouds)
• Geographical mapping of job ad locations

Examples

Include examples of how to use your project with sample outputs or screenshots if applicable.

Contributing

1. Fork the repository
2. Create a new branch (git checkout -b feature/improvement)
3. Make your changes
4. Commit your changes (git commit -am 'Add new feature')
5. Push to the branch (git push origin feature/improvement)
6. Submit a pull request

License

This project is licensed under the MIT License - see the LICENSE.md file for details.

Acknowledgments

• Mention any libraries, frameworks, or code snippets used from other sources.

Contact

For questions or feedback, contact Tejas Rajput ; tejasprajput24@gmail.com

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