This project is a data analysis of the world's GDP (Gross Domestic Product) over the years. The analysis includes visualizations, insights, and predictions based on the available data.
The purpose of this project is to gain a better understanding of the economic growth and development of different countries and regions of the world. By analyzing the GDP of different countries, we can gain insights into the factors that contribute to economic growth and identify trends and patterns in the data.
The data used in this project is obtained from the World Bank Open Data website. The dataset includes GDP data for different countries from 1960 to 2021.
This project requires the following dependencies:
- Python 3
- Pandas
- NumPy
- Matplotlib
- Plotly
- Pandas Bokeh
To run the project, you can clone the repository and run the world_gdp_analysis.ipynb Jupyter Notebook using Jupyter or any other Python IDE. The notebook includes the data analysis and visualizations.
Contributions to the project are welcome. If you find any issues or have any suggestions for improvements, please feel free to create a pull request.
This project was created by Aryadeep Chakraborty. If you have any questions or comments, please feel free to contact me at aryadeepit@gmail.com.