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Practical Data Analysis Using Jupyter Notebook

You're reading from   Practical Data Analysis Using Jupyter Notebook Learn how to speak the language of data by extracting useful and actionable insights using Python

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Product type Paperback
Published in Jun 2020
Publisher Packt
ISBN-13 9781838826031
Length 322 pages
Edition 1st Edition
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Author (1):
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Marc Wintjen Marc Wintjen
Author Profile Icon Marc Wintjen
Marc Wintjen
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Table of Contents (18) Chapters Close

Preface 1. Section 1: Data Analysis Essentials
2. Fundamentals of Data Analysis FREE CHAPTER 3. Overview of Python and Installing Jupyter Notebook 4. Getting Started with NumPy 5. Creating Your First pandas DataFrame 6. Gathering and Loading Data in Python 7. Section 2: Solutions for Data Discovery
8. Visualizing and Working with Time Series Data 9. Exploring, Cleaning, Refining, and Blending Datasets 10. Understanding Joins, Relationships, and Aggregates 11. Plotting, Visualization, and Storytelling 12. Section 3: Working with Unstructured Big Data
13. Exploring Text Data and Unstructured Data 14. Practical Sentiment Analysis 15. Bringing It All Together 16. Works Cited
17. Other Books You May Enjoy
Works Cited

The works cited in the book are taken from the following sources:

  • Belle Selene Xia, Peng Gong (2015), Review of business intelligence through data analysis, Benchmarking, 21(2), 300-311. DOI:10.1108/BIJ-08-2012-0050
  • Edward Loper, Ewan Klein, and Steven Bird,Natural Language Processing with Python, O'Reilly Media, 978-0-596-51649-9
  • W. Francis, and H. Kucera. Department of Linguistics, Brown Corpus Manual
    Brown University, Providence, Rhode Island, US, (1979)
  • Buneman Peter, Semistructured Data: https://homepages.inf.ed.ac.uk/opb/papers/PODS1997a.pdf.
  • Roy Thomas Fielding, Architectural Styles and the Design of Network-based Software Architectures: https://www.ics.uci.edu/~fielding/pubs/dissertation/top.htm, Accessed 23 Dec. 2019.
  • C.J. Hutto & Eric Gilbert, VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media...
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