Book Data Visualization

This mini project visualizes book pricing and rating trends using data scraped from BooksToScrape.com. The dataset (books_all_pages.csv) was collected using a separate Python web scraper.

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Goal

To explore and communicate insights hidden in book pricing and rating data using clean, clear visualizations.

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Tools & Technologies Used

Tool	Purpose
Python	Core programming language used for scripting
Pandas	Data loading, transformation, and aggregation
Matplotlib	Static plotting for charts and graphs
BeautifulSoup	HTML parsing for web scraping (used earlier in data collection)
Requests	Sending HTTP requests to scrape data
Jupyter Notebook / IPython	Interactive development and visualization

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Input File

• books_all_pages.csv
  Contains structured book data scraped from all 50 pages:
  • Title
  • Price (£) (as float)
  • Rating (as number 1 to 5)

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Visualizations Included

1. Number of Books by Rating

Bar chart showing how many books exist for each rating (1–5 stars).

2. Average Book Price per Rating

Shows the average price of books for each star rating.

3. Price Distribution of All Books

Histogram visualizing the spread of book prices across the dataset.

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