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You're reading from  Hands-On Data Preprocessing in Python

Product typeBook
Published inJan 2022
PublisherPackt
ISBN-139781801072137
Edition1st Edition
Tools
PyTorchAzure Functions
Concepts
Big Data
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Author (1)
Roy Jafari
Roy Jafari
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Roy Jafari

Roy Jafari, Ph.D. is an assistant professor of business analytics at the University of Redlands. Roy has taught and developed college-level courses that cover data cleaning, decision making, data science, machine learning, and optimization. Roy's style of teaching is hands-on and he believes the best way to learn is to learn by doing. He uses active learning teaching philosophy and readers will get to experience active learning in this book. Roy believes that successful data preprocessing only happens when you are equipped with the most efficient tools, have an appropriate understanding of data analytic goals, are aware of data preprocessing steps, and can compare a variety of methods. This belief has shaped the structure of this book.
Read more about Roy Jafari

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Types of data values

For successful data preprocessing, you need to know the different types of data values from two different standpoints: analytics and programming. I will review the types of data values for both standpoints and then share with you their relationships and their connections.

Analytics standpoint

There are four major types of values from analytics standpoints: nominal, ordinal, interval-scaled, and ratio-scaled. In the literature, these four types of values are under four types of data attributes. The reason is that the types of values for each attribute must remain the same, therefore, you can extrapolate value types to attribute types.

Figure 3.5 – Types of data attributes

The preceding figure shows the tree of attribute types. The four mentioned types are in the middle. As you can see in the tree, Nominal and Ordinal attributes are called Categorical (or qualitative) attributes, whereas Interval-Scaled and Ratio-Scaled attributes...

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Hands-On Data Preprocessing in Python
Published in: Jan 2022Publisher: PacktISBN-13: 9781801072137
© 2022 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Roy Jafari

Roy Jafari, Ph.D. is an assistant professor of business analytics at the University of Redlands. Roy has taught and developed college-level courses that cover data cleaning, decision making, data science, machine learning, and optimization. Roy's style of teaching is hands-on and he believes the best way to learn is to learn by doing. He uses active learning teaching philosophy and readers will get to experience active learning in this book. Roy believes that successful data preprocessing only happens when you are equipped with the most efficient tools, have an appropriate understanding of data analytic goals, are aware of data preprocessing steps, and can compare a variety of methods. This belief has shaped the structure of this book.
Read more about Roy Jafari

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