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Exploratory AnalysisBeginnerIQR Outlier DetectionDescriptive Statistics

EXP1: Data Exploration + Outlier Scan

Histograms, box plots, and IQR-based outlier detection for California Housing features.

Key highlights

  • Scans numerical features for extreme values
  • Combines histograms and box plots for distribution insight
  • Outputs outlier counts per feature

Metrics

Outlier countsDistribution shape

Dataset

California Housing

↓ Scroll to Python codeDownload datasetView report

Outputs

Histogram for numerical features
Histogram overview of numerical features
Box plot example
Box plot sample for feature spread

Full Python Code

The complete Python script directly from the repository.

Python
df = pd.read_excel('California.xlsx')
plot_histogram(df)
plot_boxplots(df)
analyze_outliers(df)

Next steps

Want to explore further? Try the full gallery or open the raw script to tweak parameters.

Back to galleryOpen code on GitHub