This project analyzes the proportion of women in senior and middle management positions across different countries. The dataset includes information on the percentage of women in management roles based on the International Standard Classification of Occupations.
The dataset consists of the following variables:
- Country: The target country.
- Source: The source of information obtained.
- Time: The desired year of the data.
- Value: The percentage of women in senior or middle management positions.
- data: Contains the dataset files.
- notebooks: Jupyter notebooks for data analysis and visualization.
- scripts: Any additional scripts used in the project.
- results: Store any results or intermediate files here.
The primary goal of this analysis is to understand and visualize the trends in the percentage of women in senior and middle management positions across countries over time.
- Python 3.10
- Jupyter Notebooks
- Required Python libraries (you can list them here, e.g., pandas, matplotlib, seaborn)
To get started with the project, follow these steps:
- Clone the repository.
- Install the required dependencies.
- Explore the Jupyter notebooks in the
notebooksdirectory.
[Sandra Mamai] [https://www.linkedin.com/in/mamaisandrahrim/]
This project is licensed under [MIT License].