About:
This project involved a comprehensive analysis of global literacy rates and their correlation with various socio-economic factors. Using Python, I collected and cleaned the data before performing exploratory data analysis (EDA) to identify trends and patterns. I employed data visualization tools such as Matplotlib and Seaborn to present the findings in an insightful manner. The project provided a deeper understanding of the impact of education on socio-economic development and honed my skills in data analysis and interpretation.