This academic paper presents a data science project focused on analyzing Gross Domestic Product (GDP) using Python. The research details the methodology, which includes data collection, cleaning, exploratory data analysis, and the application of statistical models to understand GDP trends and influencing factors. The project demonstrates how Python libraries can be leveraged for economic analysis, providing insights into national economic performance and contributing to informed policy-making. The findings aim to offer a deeper understanding of economic indicators.
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