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cramers-v

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aalfonso500-code / customer_behavior_eda

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Exploratory data analysis identifying the customer behavioral drivers of annual revenue for an e-commerce platform using Python. Performed correlation analysis across customer metrics to surface the strongest revenue predictors and inform data-driven business recommendations.

statistics numpy exploratory-data-analysis pandas seaborn business-intelligence scipy matplotlib ptyhon pearson-correlation numpy-library correlation-analysis customer-behavior-analysis statical-analysis spearman-correlation point-biserial-correlation cramers-v
  • Updated Jul 9, 2026
  • Jupyter Notebook

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