R for Data Science Cookbook (n)

Table of Contents

1. Functions in R
2. Data Extracting, Transforming and Loading
3. Data Preprocess and Preparation
4. Data Manipulation
5. Visualizing Data with ggplot2
6. Making Interactive Reports
7. Simulation from Probability Distribution
8. Statistical Inference in R
9. Rule and Pattern Mining with R
10. Time Series Mining with R
11. Supervised Machine Learning
12. Unsupervised Machine Learning