E-book details

R Data Analysis Cookbook. Customizable R Recipes for data mining, data visualization and time series analysis - Second Edition

R Data Analysis Cookbook. Customizable R Recipes for data mining, data visualization and time series analysis - Second Edition

Kuntal Ganguly, Shanthi Viswanathan, Viswa Viswanathan

Ebook
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 will show you how you can put your data analysis skills in R to practical use, with recipes catering to the basic as well as advanced data analysis tasks. Right from acquiring your data and preparing it for analysis to the more complex data analysis techniques, the book will show you how you can implement each technique in the best possible manner. You will also visualize your data using the popular R packages like ggplot2 and gain hidden insights from it. Starting with implementing the basic data analysis concepts like handling your data to creating basic plots, you will master the more advanced data analysis techniques like performing cluster analysis, and generating effective analysis reports and visualizations. Throughout the book, you will get to know the common problems and obstacles you might encounter while implementing each of the data analysis techniques in R, with ways to overcoming them in the easiest possible way.

By the end of this book, you will have all the knowledge you need to become an expert in data analysis with R, and put your skills to test in real-world scenarios.
  • 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
  • Title: R Data Analysis Cookbook. Customizable R Recipes for data mining, data visualization and time series analysis - Second Edition
  • Author: Kuntal Ganguly, Shanthi Viswanathan, Viswa Viswanathan
  • Original title: R Data Analysis Cookbook. Customizable R Recipes for data mining, data visualization and time series analysis - Second Edition
  • ISBN: 9781787125315, 9781787125315
  • Date of issue: 2017-09-20
  • Format: Ebook
  • Item ID: e_15pj
  • Publisher: Packt Publishing