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sql-data-cleaning-exploratory-data-analysis

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This project delivers an end-to-end customer behaviour analysis using Python, MySQL, and Power BI. The dataset was cleaned and explored in Python using Pandas and visualization libraries to handle missing values, remove duplicates, and identify trends. Exploratory Data Analysis (EDA) was performed to uncover revenue patterns, customer segmentation.

  • Updated Feb 20, 2026
  • Jupyter Notebook

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