R for Data Analysis in easy steps

R for Data Analysis in easy steps

Author: In easysteps
Rs. 225 Rs. 203 Save 10%
Author: Mike McGrath 
Price: Rs. 225/-
ISBN: 9789387284227
Pages: 192
Binding: Paperback
Edition: 2018 Indian Edition 
Territory: India, Pakistan, Nepal, Bangladesh, Sri Lanka and Bhutan 
 
Let these icons make it even easier 
  • To spice up your learning highlights something worth remembering, wards your off potential danger!
  • It’s written in plain English, Easy to follow, Fully illustrated  and Fantastic value

About the book

Book Title R for Data Analysis in easy steps
Type Book
Date Published May 11, 2018
Author: Mike McGrath 
Price: Rs. 225/-
ISBN: 9789387284227
Pages: 192
Binding: Paperback
Edition: 2018 Indian Edition 
Territory: India, Pakistan, Nepal, Bangladesh, Sri Lanka and Bhutan 
 
Let these icons make it even easier 
  • To spice up your learning highlights something worth remembering, wards your off potential danger!
  • It’s written in plain English, Easy to follow, Fully illustrated  and Fantastic value

About the book

The R language shows how to use R programming to analyze data to gain useful insights into patterns and trends, to enable better decision-making. This primer begins by explaining data analysis and core principles of the R programming language, then shows how to 

  • Store and manipulate data in Metrics from which useful plots and graphs can be created BPB Publications
  • Import data sets into Data Frames from which insightful data visualizations can be created
  • Create line graphs, bar charts, histograms, scatter and box plots by following the examples.
  • Use the grammar of graphics to present the data visualizations and gain deeper insights.
By end of this book you will have gained a sound understanding of R programming, and be able to write your own scripts that can be executed to produce attached visualizations for data analysis - use the free downloadable example R code to get started straight away!
 
Contents:
  1. Getting started
  2. Storing values
  3. Performing operations
  4. Testing conditions
  5. Employing functions
  6. Building matrices
  7. Constructing data frames
  8. Producing quick plots
  9. Storytelling with data
  10. Plotting perfection
  11. Index