Create a bar chart or histogram to visualize the distribution of a categorical or continuous variable, such as the distribution of ages or genders in a population.
This Python code analyzes and visualizes the distribution of employment status and recruitment source by gender using a stacked bar plot. It's a valuable tool for exploring categorical data and understanding how different factors contribute to employment patterns. The code reads a dataset containing information about gender, employment status, and recruitment sources. It groups the data by gender, employment status, and recruitment source and creates a stacked bar plot to visualize the distribution. The x-axis represents gender and employment status. The y-axis represents the count. Different colors represent different recruitment sources. The legend shows the mapping of recruitment sources to colors.
- Python 3.x
- Pandas
- Matplotlib
Clone the repository: git clone https://github.com/your-username/your-repo.gitReplace 'TaskDataset1.csv' with your dataset's file path or URL.Run the code.
You can install the required libraries using pip:
pip install pandas matplotlibPandas - Data manipulation and analysis library for Python. Matplotlib - The Python plotting library.
This project is licensed under the MIT License - see the LICENSE file for details.