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Data Science for Web3

You're reading from   Data Science for Web3 A comprehensive guide to decoding blockchain data with data analysis basics and machine learning cases

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Product type Paperback
Published in Dec 2023
Publisher Packt
ISBN-13 9781837637546
Length 344 pages
Edition 1st Edition
Languages
Concepts
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Author (1):
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Gabriela Castillo Areco Gabriela Castillo Areco
Author Profile Icon Gabriela Castillo Areco
Gabriela Castillo Areco
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Toc

Table of Contents (23) Chapters Close

Preface 1. Part 1 Web3 Data Analysis Basics
2. Chapter 1: Where Data and Web3 Meet FREE CHAPTER 3. Chapter 2: Working with On-Chain Data 4. Chapter 3: Working with Off-Chain Data 5. Chapter 4: Exploring the Digital Uniqueness of NFTs – Games, Art, and Identity 6. Chapter 5: Exploring Analytics on DeFi 7. Part 2 Web3 Machine Learning Cases
8. Chapter 6: Preparing and Exploring Our Data 9. Chapter 7: A Primer on Machine Learning and Deep Learning 10. Chapter 8: Sentiment Analysis – NLP and Crypto News 11. Chapter 9: Generative Art for NFTs 12. Chapter 10: A Primer on Security and Fraud Detection 13. Chapter 11: Price Prediction with Time Series 14. Chapter 12: Marketing Discovery with Graphs 15. Part 3 Appendix
16. Chapter 13: Building Experience with Crypto Data – BUIDL 17. Chapter 14: Interviews with Web3 Data Leaders 18. Index 19. Other Books You May Enjoy Appendix 1
1. Appendix 2
2. Appendix 3

Adding prices to our dataset

Price information is typically stored off-chain, and various sources provide access to this data. Some of the most popular APIs include the following:

  • CoinGecko
  • CoinMarketCap
  • Binance
  • Chainlink
  • OHLC data: Kraken

Each API comes with its own limitations, which we need to consider when deciding whether to integrate them into our projects. Specific details can be found in their respective documentation.

Regarding price data, it is important to understand how it is calculated, as in these examples:

  • CoinMarketCap calculates an asset’s price by considering the volume-weighted average of all markets where the asset is traded. This approach is based on the notion that more liquid markets are less susceptible to price fluctuations or manipulation and, therefore, more reliable.
  • Binance reports prices based on transactions conducted on their platform. Depending on the pair, it provides the price of the last trade...
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