R Data Analysis Cookbook, Second Edition

Table of Contents

1. Acquire and Prepare Your Ingredients- Your Data
2. What's in There - Exploratory Data Analysis
3. Where does it belong- Classification
4. Give me a number - Regression
5. Can you simplify that - Data Reduction Techniques
6. Lessons from history - Time Series Anlalysis
7. How does it looks - Advanced Data Visualization
8. This may also interest you - Building Recommendations
9. It's all about your connections - Social Network Analysis
10. Put your best forward - Document and Present your Analysis
11. Work Smarter, Not Harder - Efficent and Elegant R code
12. Where in The World? Geospatial Analysis
13. Playing nice - connecting to other Systems