Ultimate Pandas for Data Manipulation and Visualization
eBook - ePub

Ultimate Pandas for Data Manipulation and Visualization

Efficiently Process and Visualize Data with Python's Most Popular Data Manipulation Library (English Edition)

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Ultimate Pandas for Data Manipulation and Visualization

Efficiently Process and Visualize Data with Python's Most Popular Data Manipulation Library (English Edition)

About this book

Unlock the power of Pandas, the essential Python library for data analysis and manipulation. This comprehensive guide takes you from the basics to advanced techniques, ensuring you master every aspect of pandas. You'll start with an introduction to pandas and data analysis, followed by in-depth explorations of pandas Series and DataFrame, the core data structures.Learn essential skills for data cleaning and filtering, and master grouping and aggregation techniques to summarize and analyze your data sets effectively. Discover how to reshape and pivot data, join and merge multiple datasets, and handle time series analysis.Enhance your data analysis with compelling visualizations using Matplotlib, and apply your knowledge in a real-world scenario by analyzing bank customer churn. Through hands-on examples and practical use cases, this book equips you with the tools to clean, filter, aggregate, reshape, merge, and visualize data effectively, transforming it into actionable insights.

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Yes, you can access Ultimate Pandas for Data Manipulation and Visualization by Tahera Firdose in PDF and/or ePUB format, as well as other popular books in Computer Science & Data Mining. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover Page
  2. Title Page
  3. Copyright Page
  4. Dedication Page
  5. About the Author
  6. About the Technical Reviewers
  7. Acknowledgements
  8. Preface
  9. Get a Free eBook
  10. Errata
  11. Table of Contents
  12. 1. Introduction to Pandas and Data Analysis
  13. 2. Pandas Series
  14. 3. Pandas DataFrame
  15. 4. Data Cleaning with Pandas
  16. 5. Data Filtering with Pandas
  17. 6. Grouping and Aggregating Data
  18. 7. Reshaping and Pivoting in Pandas
  19. 8. Joining and Merging Data in Pandas
  20. 9. Introduction to Time Series Analysis in Pandas
  21. 10. Visualization Using Matplotlib
  22. 11. Analyzing Bank Customer Churn Using Pandas
  23. Index