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You're reading from  Data Science for Web3

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Published inDec 2023
PublisherPackt
ISBN-139781837637546
Edition1st Edition
Concepts
Data Science
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Gabriela Castillo Areco
Gabriela Castillo Areco
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Gabriela Castillo Areco

Gabriela Castillo Areco holds an M.Sc. in big data science from the TECNUM School of Engineering, University of Navarra. With extensive experience in both the business and data facets of blockchain technology, Gabriela has undertaken roles as a data scientist, machine learning analyst, and blockchain consultant in both large corporations and small ventures. She served as a professor of new crypto businesses at Torcuato di Tella University and is currently a member of the BizOps data team at IOV Labs.
Read more about Gabriela Castillo Areco

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Data preparation

When dealing with information collected from diverse data sources, it is crucial to ensure consistency and uniformity across all records and fields before extracting insights or feeding the data into a machine learning model. In this section, we will explore various data preparation tasks that are particularly relevant to on-chain data.

Hex values

Hexadecimal notation is a base 16 system, utilizing symbols to represent numerical values from 0 to 9 and letters from A to F. In contrast, our everyday decimal notation employs 10 symbols to represent numerical values (0–9). Hexadecimal notation extends the range by including A to F, representing values from 10 to 15. This notation is often used for data storage purposes due to its efficiency in representing binary numbers with each hex digit representing 4 bits.

In the example presented in Chapter06/Preparation, we retrieve the latest block number from the Rootstock public node by following the documentation...

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Data Science for Web3
Published in: Dec 2023Publisher: PacktISBN-13: 9781837637546
© 2023 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Gabriela Castillo Areco

Gabriela Castillo Areco holds an M.Sc. in big data science from the TECNUM School of Engineering, University of Navarra. With extensive experience in both the business and data facets of blockchain technology, Gabriela has undertaken roles as a data scientist, machine learning analyst, and blockchain consultant in both large corporations and small ventures. She served as a professor of new crypto businesses at Torcuato di Tella University and is currently a member of the BizOps data team at IOV Labs.
Read more about Gabriela Castillo Areco

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