This repository focuses on Exploratory Data Analysis (EDA) using Python and R. It covers data cleaning, statistical analysis, and visualization with Matplotlib, Seaborn, Plotly, and ggplot2. Key aspects include handling missing values, detecting outliers, and feature engineering. Pandas, NumPy, dplyr, and tidyr are used for data manipulation.