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Dataset Documentation
Dataset Overview:
The dataset contains information about products available on the online store.
The dataset provides details such as product URLs, SKUs, names, prices, categories, and availability.
The data is collected from the Hoeffner website and is updated regularly.
2.
Introduction
:
The dataset is valuable for businesses operating in the e-commerce industry.
It allows businesses to analyze and understand the product offerings, prices, and availability on the online store.
The dataset enables businesses to gain insights into market trends, competitor analysis, and pricing strategies.
3.
Dataset Structure:
Product URL: The URL of the product on the website
Product SKU: The unique identifier for the product
Product Name: The name or title of the product
Product Price: The price of the product
Top Category: The top-level category to which the product belongs
Mid Category: The middle-level category to which the product belongs
Bot Category: The bottom-level category to which the product belongs
Product Availability: The availability status of the product (e.g., in stock, out of stock)
4.
Data Dictionary:
Product URL: String
Product SKU: String
Product Name: String
Product Price: Numeric (decimal or integer)
Top Category: String
Mid Category: String
Bot Category: String
Product Availability: String
5.
Dataset Documentation Articles:
No specific documentation articles are available for this dataset at the moment.
6.
Data Processing and Preparation:
The dataset is collected using web scraping techniques from the website.
Data cleaning and transformation may be performed to ensure data accuracy and consistency.
7.
Data Usage Guidelines:
The dataset is intended for analysis and research purposes.
Respect the terms of use and policies of the website.
Ensure compliance with applicable laws and regulations regarding data usage and privacy.
8.
Example Use Cases:
Analyzing product pricing trends and competitiveness
Monitoring product availability and stock levels
Conducting market research and competitor analysis
Generating insights for pricing strategies and assortment planning
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