Exploratory Data Analysis (EDA) is an approach to analyzing data sets to summarize their main characteristics, often with visual methods. It helps in understanding the structure of data and identifying patterns, anomalies, or relationships.
Pandas: A Python library used for data manipulation and analysis. It provides data structures like DataFrames to handle and process structured data.
Matplotlib: A plotting library for the Python programming language. It enables users to create static, interactive, and animated visualizations.
Seaborn: A Python visualization library based on Matplotlib that offers high-level interface for drawing attractive statistical graphics.