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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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Exercises

  1. Ask five colleagues or classmates to provide a definition for the term data.

    a) Record these definitions and notice the similarities among them.

    b) In your own words, define the all-encompassing definition of data put forth in this chapter.

    c) Indicate the two important aspects of the definition in b).

    d) Compare the five definitions of data from your colleagues with the all-encompassing definitions and indicate their similarities and differences.

  2. In this exercise, we are going to use covid_impact_on_airport_traffic.csv. Answer the following questions. This dataset is from Kaggle.com – use this link to see its page:

    https://www.kaggle.com/terenceshin/covid19s-impact-on-airport-traffic

    The key attribute of this dataset is PercentOfBaseline, which shows the ratio of air traffic in a specific day compared to a pre-pandemic time range (February 1 to March 15, 2020).

    a) What is the best definition of the data object for this dataset?

    b) Are there any attributes in the...

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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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