Skill

Exploratory Data Analysis

Data Science, Analytics and AI/ML

Exploratory Data Analysis (EDA) is the process of summarizing, visualizing, and probing a dataset's main characteristics—distributions, outliers, correlations, and missing values—before formal modeling or hypothesis testing. Data scientists and analysts use tools like pandas, matplotlib, or R to perform EDA as a first step in understanding data quality and generating hypotheses.

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• R
• Pandas
• Data Wrangling
• Statistical Analysis
• Jupyter Notebook
• Feature Engineering
• Data Preprocessing
• Scatter Plots
• Statistical Visualization