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.
- Python 3.x
- Required Python packages: pandas, matplotlib, seaborn, nltk, geopandas, wordcloud
You can install the required packages using pip:
pip install pandas matplotlib seaborn nltk geopandas wordcloud
To analyze job ads data:
- Clone the repository:
git clone https://github.com/your_username/job-advertisement-analysis.git cd job-advertisement-analysis
- Run the script to analyze job ads from a folder containing JSON files:
python analyze_job_ads.py /path/to/your/json/data/folder
- 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
Include examples of how to use your project with sample outputs or screenshots if applicable.
- Fork the repository
- Create a new branch (
git checkout -b feature/improvement
) - Make your changes
- Commit your changes (
git commit -am 'Add new feature'
) - Push to the branch (
git push origin feature/improvement
) - Submit a pull request
This project is licensed under the MIT License - see the LICENSE.md file for details.
- Mention any libraries, frameworks, or code snippets used from other sources.
For questions or feedback, contact Tejas Rajput ; tejasprajput24@gmail.com