import requests
from bs4 import BeautifulSoup
import pandas as pd
import matplotlib.pyplot as plt

# Function to scrape data from the website
def scrape_books(url):
    response = requests.get(url)
    soup = BeautifulSoup(response.text, 'html.parser')
    
    titles = []
    authors = []
    prices = []
    
    # Extracting data
    for book in soup.find_all('div', class_='book'):
        title = book.find('h2').text.strip()
        author = book.find('p', class_='author').text.strip()
        price = book.find('p', class_='price').text.strip()
        
        titles.append(title)
        authors.append(author)
        prices.append(price)
    
    return titles, authors, prices

# URL of the website to scrape
url = 'https://www.youtube.com/'

# Scrape the data
titles, authors, prices = scrape_books(url)

# Create a DataFrame
data = pd.DataFrame({
    'Title': titles,
    'Author': authors,
    'Price': prices
})

# Data analysis
print("Top 5 Books:")
print(data.head())

# Plotting
author_counts = data['Author'].value_counts()[:10]  # Top 10 authors
author_counts.plot(kind='bar', title='Top 10 Authors')
plt.xlabel('Authors')
plt.ylabel('Number of Books')
plt.xticks(rotation=45, ha='right')
plt.tight_layout()
plt.show()