This project aims to provide a comprehensive analysis of the cryptocurrency market by scraping data, performing data analysis, and creating visualizations to gain insights into the market trends and behavior of various cryptocurrencies.
Cryptocurrencies have gained significant popularity over the years, and their market dynamics can be highly volatile and complex. Understanding the patterns and trends within this market can be valuable for investors, researchers, and enthusiasts.
The data scraping module utilizes BeautifulSoup to extract cryptocurrency data from coinmarketcap wesbite. The data includes cryptocurrency prices, market capitalization, trading volumes, etc.
The data analysis module uses Pandas to clean, preprocess, and analyze the cryptocurrency data. It explores statistical summaries and identifies significant trends in the market.
The visualization module employs Matplotlib, Plotly, and D3.js to create a wide range of interactive and informative visualizations. Various types of charts and graphs are generated to showcase key insights and trends in the cryptocurrency market.