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Exploratory data analysis of eBay perfume listings from a Kaggle dataset: price distribution, outliers, men's vs women's pricing, and price vs units sold, with Python visualizations.

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Perfume Price Analysis

This repository contains an exploratory data analysis project built on a Kaggle perfume e-commerce dataset derived from eBay perfume listings.

Dataset

  • Source: Kaggle
  • Files:
    • archive/ebay_mens_perfume.csv
    • archive/ebay_womens_perfume.csv
  • Total samples: 2000 listings
  • Original features:
    • brand
    • title
    • type
    • price
    • priceWithCurrency
    • available
    • availableText
    • sold
    • lastUpdated
    • itemLocation

Project Focus

This part of the project focuses on price and numerical variable analysis:

  • How is the price distributed?
  • Are there cheap and expensive products?
  • Is there a price difference between men's and women's perfumes?
  • Are there outlier products?

Visualizations

The analysis script produces four EDA visualizations:

  • Histogram of perfume prices
  • Box plot for price outlier analysis
  • Violin plot comparing men's and women's prices
  • Scatter plot of price vs sold

Generated outputs are stored in outputs/.

Files

  • person2_price_analysis.py: analysis and chart generation script
  • person2_price_analysis.md: written summary for presentation/report use
  • outputs/: exported chart images

Run

python3 person2_price_analysis.py

About

Exploratory data analysis of eBay perfume listings from a Kaggle dataset: price distribution, outliers, men's vs women's pricing, and price vs units sold, with Python visualizations.

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