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You're reading from  The Applied Data Science Workshop - Second Edition

Product typeBook
Published inJul 2020
Reading LevelIntermediate
PublisherPackt
ISBN-139781800202504
Edition2nd Edition
Languages
Python
Tools
Jupyter
Concepts
Data Science
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Alex Galea
Alex Galea
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Alex Galea

Alex Galea has been professionally practicing data analytics since graduating with a masters degree in physics from the University of Guelph, Canada. He developed a keen interest in Python while researching quantum gases as part of his graduate studies. Alex is currently doing web data analytics, where Python continues to play a key role in his work. He is a frequent blogger about data-centric projects that involve Python and Jupyter Notebooks.
Read more about Alex Galea

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Data Workflow with pandas

As we've seen time and time again in this book, pandas is an integral part of performing data science with Python and Jupyter Notebooks. DataFrames offer us a way to organize and store labeled data, but more importantly, pandas provides time-saving methods for transforming data. Examples we have seen in this book include dropping duplicates, mapping dictionaries to columns, applying functions over columns, and filling in missing values.

In the next exercise, we'll reload the raw tables that we pulled from Wikipedia, clean them up, and merge them together. This will result in a dataset that is suitable for analysis, which we'll use for a final exercise, where you'll have an opportunity to perform exploratory analysis and apply the modeling concepts that you learned about in earlier chapters.

Exercise 6.04: Processing Data for Analysis with pandas

In this exercise, we continue working on the country data that was pulled from Wikipedia...

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The Applied Data Science Workshop - Second Edition
Published in: Jul 2020Publisher: PacktISBN-13: 9781800202504
© 2020 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Alex Galea

Alex Galea has been professionally practicing data analytics since graduating with a masters degree in physics from the University of Guelph, Canada. He developed a keen interest in Python while researching quantum gases as part of his graduate studies. Alex is currently doing web data analytics, where Python continues to play a key role in his work. He is a frequent blogger about data-centric projects that involve Python and Jupyter Notebooks.
Read more about Alex Galea

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