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Data Science & Statistical Analysis• 6 min read
Exploratory Data Analysis (EDA)
Systematically uncover patterns, anomalies, distributions, and correlations using EDA visual workflows.
The EDA Checklist
1Inspect shape, data types, and null counts (
df.info()).2Compute five-number summaries for numeric columns (
df.describe()).3Plot distribution histograms and boxplots to detect outliers.
4Generate a correlation heatmap to identify collinearity.
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Test Yourself With Exercise
Which Pandas method outputs summary statistics (mean, std, min, percentiles, max) for numeric columns?