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Books To Scrape Catalogue
Data Science and Analytics
Tags and Keywords
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Free
About
This dataset provides detailed information about books listed on a practice web scraping website. It was created through web scraping using Python libraries, demonstrating a fundamental process for data collection in data-related fields. The dataset includes cleaned data for key columns and serves as an excellent resource for learning and practising data extraction.
Columns
- Title: The title of the book.
- Category: The genre or type of the book.
- Price: The base price of the book.
- Price After Tax: The total cost of the book, including any applicable tax.
- Tax Amount: The tax levied on the book.
- Availability: The quantity of the book currently in stock.
- Number of reviews: The count of individuals who have provided a review for the book.
- Book Description: A summary or overview of the book's content.
- Image Link: A URL pointing to the image of the book.
- Stars: The star rating given to each book, on a scale of 1 to 5.
Distribution
The dataset is in a tabular format, likely a CSV file, and contains 1000 records across 11 columns. All columns have 100% valid entries with no missing values. The 'Index', 'Title', 'Book Description', and 'Image Link' columns each have nearly unique or entirely unique values (999 or 1000 unique values out of 1000 records). The 'Category' column features 50 unique categories, with 'Default' and 'Nonfiction' being the most frequent. The 'Price' and 'Price After Tax' columns range from 10 to 60, with a mean of 35.1. The 'Tax Amount' and 'Number of reviews' columns consistently show a value of 0 for all records, which is maintained to reflect potential real-world scraping scenarios. 'Availability' ranges from 1 to 22, with a mean of 8.59. Book 'Stars' ratings vary from 1 to 5, with a mean rating of 2.92.
Usage
This dataset is ideal for:
- Performing various Exploratory Data Analysis (EDA) tasks.
- Clustering books based on their categories.
- Developing content-based recommendation engines using book descriptions and other relevant fields.
- Practising web scraping and data cleaning techniques.
Coverage
The data originates from
http://books.toscrape.com/, a website designed for web scraping practice. The dataset reflects the book listings available on this specific platform. No specific geographic location, time range, or demographic information is available.License
CC0: Public Domain
Who Can Use It
This dataset is suitable for:
- Data Scientists and Analysts: For conducting EDA, building models, and understanding data characteristics.
- Students and Learners: Especially those new to web scraping, Python's
requestsandbs4libraries, or data cleaning. - Machine Learning Practitioners: For training recommendation systems and clustering algorithms.
- Developers: Interested in building applications that utilise book data.
Dataset Name Suggestions
- Books To Scrape Catalogue
- Web Scraped Book Listings
- Online Bookstore Data
- Book E-commerce Dataset
- Scraped Book Inventory
Attributes
Original Data Source: Books To Scrape Catalogue
QUALITY