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This book introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression and machine learning and helps you develop skills such as R programming, data wrangling with dplyr, data visualization with ggplot2, file organization with UNIX/Linux shell, version control with GitHub, and reproducible document preparation with R markdown.
R lowess smoothing
Chapter 28 Smoothing Introduction to Data Science
Chapter 28 Smoothing Introduction to Data Science
Chapter 28 Smoothing Introduction to Data Science
Chapter 28 Smoothing Introduction to Data Science
