Exploratory Data Analysis

Exploratory Data Analysis (EDA) is an approach to analyzing and visualizing data to understand its underlying patterns, trends, and relationships before formal statistical modeling or hypothesis testing. It involves techniques such as summary statistics, data visualization, and dimensionality reduction to gain insights into the structure and characteristics of the data. Readers can explore EDA methods and tools for data preprocessing, quality assessment, and feature selection, gaining a deeper understanding of the data and informing subsequent data analysis and modeling decisions.

Comprehensive roadmap for exploratory-data-analysis

By roadmap.sh