Exploratory Data Analysis (EDA) is a crucial step in the data science process that helps analysts understand the data they are working with before applying advanced modeling techniques. EDA involves summarizing the main characteristics of the data, often visualizing it to uncover patterns, detect anomalies, test hypotheses, and check assumptions. This process provides a foundation for subsequent data analysis and modeling. In this article, we’ll explore key techniques and tools used in EDA, making the concepts easy to understand and apply. Whether you’re a beginner or an experienced data analyst,…
Read MoreMastering Exploratory Data Analysis (EDA): Techniques and Tools
