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Index
Cover
Frontmatter
Chapter 1: Getting Star ted
Chapter 2: Dealing with Dates, Strings, and Data Frames
Chapter 3: Input and Output
Chapter 4: Control Structures
Chapter 5: Functional Programming
Chapter 6: Probability Distributions
Chapter 7: Working with Tables
Chapter 8: Descriptive Statistics and Exploratory Data Analysis
Chapter 9: Working with Graphics
Chapter 10: Traditional Statistical Methods
Chapter 11: Modern Statistical Methods
Chapter 12: Analysis of Variance
Chapter 13: Correlation and Regression
Chapter 14: Multiple Regression
Chapter 15: Logistic Regression
Chapter 16: Modern Statistical Methods II
Chapter 17: Data Visualization Cookbook
Chapter 18: High-Performance Computing
Chapter 19: Text Mining
Backmatter
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