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Hands-On Exploratory Data Analysis with Python

You're reading from   Hands-On Exploratory Data Analysis with Python Perform EDA techniques to understand, summarize, and investigate your data

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Product type Paperback
Published in Mar 2020
Publisher Packt
ISBN-13 9781789537253
Length 352 pages
Edition 1st Edition
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Authors (2):
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Suresh Kumar Mukhiya Suresh Kumar Mukhiya
Author Profile Icon Suresh Kumar Mukhiya
Suresh Kumar Mukhiya
Usman Ahmed Usman Ahmed
Author Profile Icon Usman Ahmed
Usman Ahmed
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Table of Contents (17) Chapters Close

Preface 1. Section 1: The Fundamentals of EDA
2. Exploratory Data Analysis Fundamentals FREE CHAPTER 3. Visual Aids for EDA 4. EDA with Personal Email 5. Data Transformation 6. Section 2: Descriptive Statistics
7. Descriptive Statistics 8. Grouping Datasets 9. Correlation 10. Time Series Analysis 11. Section 3: Model Development and Evaluation
12. Hypothesis Testing and Regression 13. Model Development and Evaluation 14. EDA on Wine Quality Data Analysis 15. Other Books You May Enjoy Appendix

Further reading

  • Myatt, Glenn J. (2006). Making Sense of Data: A Practical Guide to Exploratory Data Analysis and Data Mining. Print ISBN:9780470074718 |Online ISBN:9780470101025 |DOI:10.1002/0470101024
  • Chatfield, C. (1995). Problem Solving: A Statistician's Guide (2nd ed.). Chapman and Hall. ISBN 978-0412606304.
  • Prior distribution, Andrew Gelman Volume 3, pp 1634–1637, http://www.stat.columbia.edu/~gelman/research/published/p039-_o.pdf
  • Shearer, C. (2000). The CRISP-DM model: the new blueprint for data mining. J Data Warehousing; 5:13—22.
  • Judd, Charles and McCleland, Gary (1989). Data Analysis. Harcourt Brace Jovanovich. ISBN 0-15-516765-0.
  • Carifio, James and Perla, Rocco J. (2007). Ten Common Misunderstandings, Misconceptions, Persistent Myths, and Urban Legends about Likert Scales and Likert Response Formats and Their Antidotes. Journal of Social Sciences. 3 (3): 106–116. DOI:10.3844/jssp.2007.106.116
You have been reading a chapter from
Hands-On Exploratory Data Analysis with Python
Published in: Mar 2020
Publisher: Packt
ISBN-13: 9781789537253
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