Exploratory Data Analysis (EDA)
Exploratory Data Analysis (EDA) is a crucial initial step in the data analysis process. It involves systematically examining and summarizing data to uncover patterns, relationships, and insights. EDA helps data scientists and analysts understand the nature of the data, identify outliers, assess data quality, and generate hypotheses for further analysis. It often includes techniques like data visualization, summary statistics, and data cleaning to gain a comprehensive understanding of the dataset before diving into more advanced analyses. EDA is essential for making informed decisions and guiding subsequent data modeling and interpretation.