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

Product typeBook
Published inJan 2022
PublisherPackt
ISBN-139781801072137
Edition1st Edition
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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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Example 1 – unpacking columns and reformulating the table

In this example, we will use the level I cleaned speech_df dataset to create the following bar chart. We cleaned this DataFrame in the Example 1 – unwise data collection section of Chapter 9, Data Cleaning Level I – Cleaning Up the Table. The level I cleaned speech_df database only has two columns: FileName and Content. To be able to create the following visual, we need columns such as the month of the speech and the number of times the four words (vote, tax, campaign, and economy) have been repeated in each speech. While the level I cleaned speech_df dataset contains all this information, it is somewhat buried inside the two columns.

The following is a list of the information we need and the column of speech_df that this information is stored in:

  • The month of the speech: This information is in the FileName column.
  • The number of times the words vote, tax, campaign, and economy have been repeated...
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Hands-On Data Preprocessing in Python
Published in: Jan 2022Publisher: PacktISBN-13: 9781801072137

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