Category:
Data Analysis
About Dataset
This Zara sales dataset contains information about product sales from Zara stores over a specific period of time. The dataset includes various attributes relevant to sales, such as product ID, product name, product category, price, sales volume, sales date, and store location. This data can be used to analyze product sales trends, sales performance across different product categories, the effectiveness of promotions, customer purchasing patterns, and other factors that influence Zara's sales performance. Analyzing this dataset can provide valuable insights for Zara management in optimizing marketing strategies, inventory management, and other decision-making processes to enhance revenue and profitability.
About this file
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.)
