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This is a repository for Zara sales dataset analysis with notebook that include Data Exploration, Data cleaning, Data analysis and Power BI dashboard.

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Zara-Sales-analysis

About Dataset:

Zara dataset is available on kaggle as the ‘ZARA Sales’ dataset. It consists of the following columns:

  • Product ID: Unique identifier for each product.
  • Product Position: The position of the product in the catalog or store layout.
  • Promotion: Indicator of whether the product is currently on promotion or not.
  • Product Category: The category of the product, such as clothing, accessories, shoes, etc.
  • Seasonal: Indicator of whether the product is part of a specific seasonal collection.
  • Sales Volume: The quantity of products sold.
  • Brand: Brand of the product.
  • URL: Product URL (e.g., if the product is sold online).
  • SKU: Stock Keeping Unit, a unique code used to identify items available for sale.
  • Name: Name of the product.
  • Description: Description of the product.
  • Price: Price of the product.
  • Currency: Currency of the product price.
  • Scraped_at: The time when the data was scraped (e.g., in web scraping process).
  • Terms: Terms or conditions of the product.
  • Section: Section or category where the product is sold in the store (e.g., women's clothing, men's clothing, children's clothing, etc.).

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This is a repository for Zara sales dataset analysis with notebook that include Data Exploration, Data cleaning, Data analysis and Power BI dashboard.

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