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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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Exercise

  1. In this exercise, we will be using Universities_imputed_reduced.csv. Draw the following visualizations:

    a) Use boxplots to compare the student/faculty ratio (stud./fac. ratio) for the two populations of public and private universities.

    b) Use a histogram to compare the student/faculty ratio (stud./fac. ratio) for the two populations of public and private universities.

    c) Use subplots to put the results of a) and b) on top of one another to create a visual that compares the two populations even better.

  2. In this exercise, we will continue using Universities_imputed_reduced.csv. Draw the following visualizations:

    a) Use a bar chart to compare the private/public ratio of all the states in the dataset. In this example, the populations we are comparing are the states.

    b) Improve the visualizations by sorting the states on the visuals based on the total number of universities they have.

    c) Create a stacked bar chart that shows and compares the percentages of public and private...

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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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