#PythonForDataAnalysis

Introduction (Stepwise Investigation Style) Exploratory Data Analysis (EDA) is the first critical step in any data analysis workflow. It allows analysts to understand the dataset, detect patterns, identify anomalies, and uncover relationships before diving into modeling or reporting. Imagine a retail company in Nagpur launching a new product line. You have transaction data spanning months. […]

Introduction (Stepwise Investigation Style) Exploratory Data Analysis (EDA) is the first critical step in any data analysis workflow. It allows analysts to understand the dataset, detect patterns, identify anomalies, and uncover relationships before diving into modeling or reporting. Imagine a retail company in Nagpur launching a new product line. You have transaction data spanning months.