Healthcare companies produce vast amounts of raw information, commonly referred to as huge data, which can uncover invisible layouts and insightful perspectives to support informed decision-making. Data-driven decisions tend to be more reliable than those based on intuition, as they leverage large-scale datasets. Exploratory Data Analysis (EDA) plays a key role in this process by helping identify errors, recognize data characteristics, validate assumptions, and examine relationships between variables. In this context, EDA involves examining data without relying on statistical modeling or drawing formal conclusions. Analysts across various fields use EDA to uncover patterns and make informed forecasts. Recently, data analytics has become more accessible and increasingly important in healthcare, particularly for addressing disease outbreaks and emergencies. EDA serves as a foundational step in data analysis and supports the healthcare sector by enhancing treatments and promoting preventive care.
Rupali S. Awhad (Thu,) studied this question.