R data analysis cookbook: over 80 recipes to help you breeze through your data analysis projects using R

Table of Content

1 Acquire and Prepare the 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 Analysis
7 It's All About Your Connections – Social Network Analysis
8 Put Your Best Foot Forward – Document and Present Your Analysis
9 Work Smarter, Not Harder – Efficient and Elegant R Code
10 Where in the World? – Geospatial Analysis
11 Playing Nice – Connecting to Other Systems

Data analytics with R has emerged as a very important focus for organizations of all kinds. R enables even those with only an intuitive grasp of the underlying concepts, without a deep mathematical background, to unleash powerful and detailed examinations of their data. This book empowers you by showing you ways to use R to generate professional analysis reports. It provides examples for various important analysis and machine-learning tasks that you can try out with associated and readily available data. The book also teaches you to quickly adapt the example code for your own needs and save yourself the time needed to construct code from scratch.
What this book will do for you:
Get data into your R environment and prepare it for analysis
Perform exploratory data analyses and generate meaningful visualizations of the data
Apply several machine-learning techniques for classification and regression
Get your hands around large data sets with the help of reduction techniques
Extract patterns from time-series data and produce forecasts based on them
Learn how to extract actionable information from social network data
Implement geospatial analysis
Present your analysis convincingly through reports and build an infrastructure to enable others to play with your data

https://prod.packtpub.com/in/big-data-and-business-intelligence/r-data-analysis-cookbook