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

Product type Paperback

Published in Dec 2023

Publisher Packt

ISBN-13 9781837637546

Length 344 pages

Edition 1st Edition

Languages

Python

Tools

Blockchain

Concepts

Blockchain

Author (1):

Gabriela Castillo Areco

View More author details

Table of Contents (23) Chapters

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

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19. Other Books You May Enjoy

Appendix 1

1. Appendix 2

2. Appendix 3

Working with Off-Chain Data

In the previous chapter, we learned that on-chain data serves as the primary source of Web3 data analysis. It is open, distributed, and trustworthy. While on-chain data will be key to answering most business data science questions, it is essential to complement it with relevant information from off-chain data sources, which is the focus of this chapter.

Consider a scenario where we receive a request to assess the economic relevance of a smart contract. We can query the number of tokens locked in it, but to finalize the analysis, we need to determine the monetary value of those tokens. To accomplish this, we must integrate on-chain data with prices, often derived from off-chain sources.

Prices, news, and opinions are not stored on-chain and must be retrieved from external sources. In this chapter, we will delve into those sources and acquire data from selected APIs. Specifically, we will discuss alternatives for fetching prices, analyze a crypto news...