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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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Analyzing the data

As we have seen in our journey in this book, data preprocessing is not an island and the best data preprocessing is done by being informed about the analytics goals. So we will continue preprocessing the data as we go about answering the four questions in this case study. Let's progress in this subsection one AQ at a time.

Analysis question one – is there a significant difference between the mental health of employees across the attribute of gender?

To answer this question, we need to visualize the interaction between three attributes: Gender, Mental Illness, and Treatment. We are aware that the Mental Illness attribute has 536 missing MAR values and those missing values have a relationship with the Treatment attribute. However, as the goal of the analysis is to see the mental health across Gender, we can avoid interacting with Treatment and Mental Illness and bring the focus of our analysis to the interaction of the Gender attribute with both of...

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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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