Exploratory Data Analysis using Data Visualization Techniques

Exploratory Data Analysis (EDA) is a crucial step in the data analysis process, involving a thorough examination of data through statistical and visualization tools. The primary objective of EDA is to summarize the data, uncover patterns, generate hypotheses, and test assumptions, setting the foundation for in-depth analytics.

Data scientists leverage EDA to gain insights into datasets, ultimately influencing business strategies and outcomes. The insights obtained from EDA, including features extracted, are pivotal not only for further data analysis …

analysis analytics assumptions data data analysis datascience data scientists data visualization eda exploratory foundation generate patterns process scientists statistical test through tools visualization