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Data Science for Web3

You're reading from  Data Science for Web3

Product type Book
Published in Dec 2023
Publisher Packt
ISBN-13 9781837637546
Pages 344 pages
Edition 1st Edition
Languages
Author (1):
Gabriela Castillo Areco Gabriela Castillo Areco
Profile icon Gabriela Castillo Areco

Table of Contents (23) Chapters

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

Reviewing data sources

Alice: Would you tell me, please, which way I ought to go from here?

The Cheshire Cat: That depends a good deal on where you want to get to.- Lewis Carroll, Alice in Wonderland

We will encounter a similar dilemma to Alice’s when trying to access on-chain data without context or a clear vision of the needs and resources that are at our disposal.

The choice of a data source relies on various factors, primarily driven by our needs and available resources. As discussed in Chapter 1, our approach to blockchain data will be shaped by the problems we aim to solve and the questions we seek to answer. If we need to add to a dashboard aggregated metrics that involve comprehensive scanning of the entire blockchain, we will need access to SQL-based solutions. On the other hand, integrating specific data points, such as balances or token prices, into our platform may lead us toward extracting information from a node with web3.py.

Additionally, each data...

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