Unlock the Secrets of Your Data! Exploratory Data Analysis (EDA) is a powerful tool for uncovering insights and patterns in your dataset. With EDA, you can identify outliers, relationships between variables, and apply statistical methods to derive meaningful hypotheses.

To get started, gain an understanding of your data's basic features, such as structure, data types, and observations. Then, clean your dataset by removing missing values, duplicates, and standardizing the data for analysis. Next, explore the dataset distribution using descriptive statistics and visualizations like box plots and histograms. Finally, analyze variable relationships to uncover potential hypotheses.

By following these essential steps, you'll be able to derive valuable insights from your data and drive informed decision-making.

Source: https://dev.to/anyonje/understanding-your-data-the-essentials-of-exploratory-data-analysis-2pe7