Data analysis is a crucial step in any data science project. Exploratory Data Analysis (EDA) helps you understand your data, identify trends, and gain valuable insights. By analyzing and visualizing your data, EDA allows you to uncover relationships, detect abnormalities, and verify data quality.

Key steps in EDA include data collection, cleaning, visualization, statistical analysis, and interpretation. These processes help summarize the main characteristics of your data, gain a better understanding of the dataset, and extract important variables for problem-solving.

Understanding EDA can improve the accuracy and efficiency of data-driven decision-making. Whether you're working with large datasets or small samples, EDA is an essential tool for anyone working with data.

Source: https://dev.to/jmwendwa/understanding-your-data-the-essentials-of-exploratory-data-analysis-3bie