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This Python script uses BeautifulSoup for web scraping, matplotlib for data visualization, and performs an ordinary least squares regression analysis.

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Chaz-Ortiz/Web-Scraping-and-Analysis

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Web Scraping and Analysis in Python

This is a Python script that uses Beautiful Soup to scrape a web page and perform data analysis.

Features

  • Web Scraping with Beautiful Soup: Efficiently extracts structured data from HTML content.
  • Data Cleaning with Pandas: Parses, formats, and filters data into usable formats.
  • Revenue Prediction: Estimates potential or historical revenue based on available data.
  • Regression Analysis: Performs linear regression to identify data trends and correlations.
  • CSV Export: Saves cleaned or analyzed data to CSV for further use.

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Getting Started

Prerequisites

  • Python 3.x
  • beautifulsoup4
  • requests
  • pandas
  • scikit-learn (for regression analysis)

You can install the required packages with:

pip install beautifulsoup4 requests pandas scikit-learn

About

This Python script uses BeautifulSoup for web scraping, matplotlib for data visualization, and performs an ordinary least squares regression analysis.

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