Exploratory Data Analysis

Exploratory Data Analysis

Exploratory Data Analysis (EDA) is a foundational approach in research and data science used to understand the structure, patterns, and quality of datasets before formal modeling or hypothesis testing. It involves summarizing data using descriptive statistics and visual techniques to identify trends, relationships, anomalies, and missing values. EDA helps researchers make informed decisions about data preprocessing, variable selection, and appropriate analytical methods, ensuring reliable, transparent, and evidence-based research outcomes across scientific, social, and applied domains.

Exploratory Data Analysis, EDA, Data Exploration, Descriptive Statistics, Data Visualization, Pattern Detection, Outlier Analysis, Data Distribution, Correlation Analysis, Data Profiling, Statistical Summary, Feature Understanding, Data Quality Assessment, Insight Discovery, Preprocessing

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