- Pandas Cookbook: Recipes for Scientific Computing, Time Series Analysis and Data Visualization using Python, First Edition, by Theodore Petrou, Packt, 2017
- Mastering Pandas, Second Edition, by Ashish Kumar, Packt, October 25, 2019
- Learning Pandas, Second Edition, by Michael Heydt, Packt, June 29, 2017
- Petr Aubrecht, Zdenek Kouba: Metadata driven data transformation; retrieved from http://labe.felk.cvut.cz/~aubrech/bin/Sumatra.pdf
- Title Page
- Copyright and Credits
- About Packt
- Contributors
- Preface
- Section 1: The Fundamentals of EDA
- Exploratory Data Analysis Fundamentals
- Visual Aids for EDA
- EDA with Personal Email
- Data Transformation
- Technical requirements
- Background
- Merging database-style dataframes
- Transformation techniques
- Benefits of data transformation
- Summary
- Further reading
- Section 2: Descriptive Statistics
- Descriptive Statistics
- Grouping Datasets
- Correlation
- Time Series Analysis
- Section 3: Model Development and Evaluation
- Hypothesis Testing and Regression
- Model Development and Evaluation
- EDA on Wine Quality Data Analysis
- Appendix
- Other Books You May Enjoy
Further reading
-
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