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The Watch Pages Partial Dataset

This repository contains an initial dataset extracted from TheWatchPages.com, featuring details about various watch brands, collections, and models. The dataset currently contains 350 records but is expected to be expanded as more data is crawled and added.

Dataset Overview

The dataset includes structured information on a limited set of watches from various brands and models, covering core specifications and pricing details. This partial version serves as a starting point for researchers, watch enthusiasts, and developers interested in the watch industry.

Key Features

  • Brands: Information on different brands listed on TheWatchPages.com.
  • Models: Model names, reference numbers, and collection details.
  • Specifications: Details like case size, material, movement type, water resistance, and more.
  • Pricing: Estimated prices in USD.

Data Fields

The dataset currently includes the following fields:

  • Brand Name
  • Model Name
  • Reference Number
  • Case Size (mm)
  • Case Material
  • Dial Color
  • Movement Type (Automatic, Manual, Quartz)
  • Water Resistance (meters)
  • Power Reserve (hours)
  • Strap Material
  • Price (USD)

File Details

  • File Name: dataset.csv
  • Format: CSV
  • Size: Contains 350 rows and 12 columns
  • Date of Extraction: (Include the date, e.g., "October 20, 2024")

Next Steps for Completing the Dataset

The current dataset is partial, and additional data crawling is needed to make it comprehensive. Future updates will involve:

  1. Further Crawling using advanced scraping tools (e.g., Scrapy, BeautifulSoup).
  2. Data Cleaning and Validation to ensure data consistency and accuracy.
  3. Updating the Dataset in this repository with new records as they are collected.

Usage

This dataset is provided for free use under the MIT License. It can be used for:

  • Preliminary research and analysis of watch trends.
  • Testing and development of watch-related applications or tools.
  • Building sample models for data analysis.

Getting Started

  1. Download the dataset: Clone the repository and download the dataset.csv.
    git clone https://github.com/your-username/TheWatchPages-Partial-Dataset.git

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