This project aims to analyze the unemployment data of a India and create visualizations to help understand the trends and patterns in the data. The project uses Python libraries such as Pandas, Matplotlib, and NumPy for data manipulation and visualization.
Download the dataset for custom training data .
The data is stored in a CSV file in the data directory. The CSV file contains the following columns:
- Region
- Date
- Frequency
- Estimated Unemployment Rate (%)
- Estimated Employed
- Estimated Labour Participation Rate (%)
- Area
- Clone this repository to your local machine:
git clone https://github.com/usmanbvp/Unemployment-Analysis-With-Python.git
- Install the required Python libraries using the following command:
pip install -r requirements.txt
- Open the Jupyter notebook in the project cloned folder, by running:
jupyter notebook
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Inside the notebooks folder, you will find the Unemployment_analysis_with_python.ipynb. Open it.
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Run the cells one by one in the notebook to visualize the patterns of data.
This project is licensed under the MIT License. The MIT License is a permissive open source license that allows you to use, modify, and distribute this project for both commercial and non-commercial purposes.