Table of Contents for
Data Analysis with Open Source Tools

Version ebook / Retour

Cover image for bash Cookbook, 2nd Edition Data Analysis with Open Source Tools by Philipp K. Janert Published by O'Reilly Media, Inc., 2010
  1. Cover
  2. Data Analysis with Open Source Tools
  3. O'Reilly Strata Conference
  4. Data Analysis with Open Source Tools
  5. Dedication
  6. A Note Regarding Supplemental Files
  7. Preface
  8. 1. Introduction
  9. I. Graphics: Looking at Data
  10. 2. A Single Variable: Shape and Distribution
  11. 3. Two Variables: Establishing Relationships
  12. 4. Time As a Variable: Time-Series Analysis
  13. 5. More Than Two Variables: Graphical Multivariate Analysis
  14. 6. Intermezzo: A Data Analysis Session
  15. II. Analytics: Modeling Data
  16. 7. Guesstimation and the Back of the Envelope
  17. 8. Models from Scaling Arguments
  18. 9. Arguments from Probability Models
  19. 10. What You Really Need to Know About Classical Statistics
  20. 11. Intermezzo: Mythbusting—Bigfoot, Least Squares, and All That
  21. III. Computation: Mining Data
  22. 12. Simulations
  23. 13. Finding Clusters
  24. 14. Seeing the Forest for the Trees: Finding Important Attributes
  25. 15. Intermezzo: When More Is Different
  26. IV. Applications: Using Data
  27. 16. Reporting, Business Intelligence, and Dashboards
  28. 17. Financial Calculations and Modeling
  29. 18. Predictive Analytics
  30. 19. Epilogue: Facts Are Not Reality
  31. A. Programming Environments for Scientific Computation and Data Analysis
  32. B. Results from Calculus
  33. C. Working with Data
  34. D. About the Author
  35. Index
  36. About the Author
  37. Colophon
  38. Copyright

Furious activity is no substitute for understanding.

—H. H. Williams