The Big R-Book for Professionals, From Data Science to Learning Machines for the Profssional
by Philippe J.S. De Brouwer
– Published by John Wiley & Sons –

Contents of This Page

  1. The Parts of the Book
  2. Some Statistics about the Book
  3. Downloads, Sources, and Sample Material
  4. Sample Applications that You Learn to Build in the Book
  5. Get Your Copy

The Parts of the Book

  1. Introduction: the importance of data science
  2. Starting with R and Elements of Statistics: the basics
  3. Explore Data: databases and how to use them
  4. Data Import: getting data in R
  5. Data Wrangling: modifying data
  6. Modelling: building strong models and verify them, including popular machine learning techniques
  7. Introduction to Companies: what are companies, financial and management accounting, valuation of financial assets and multi criteria decision analysis
  8. Reporting: from automated slides to interactive websites
  9. Bigger and Faster R: using clusters, programming the GPU, big data, and code optimisation
  10. Appendices: extra code, notes, and levels of measurement

Some Statistics about the Book

  • 803 R code examples or segments and 92 other code sections
  • 145 illustrations
  • 270 boxes with information, warnings, digressions, and further information
  • 9 parts, front and back-matter
  • 55 chapters, 129 sections, 223 subsections, 128 subsubsections
  • 1,100+ pages
  • 258,450 words in 34,438 paragraphs

Downloads, Sources, and Sample Material

Sample Applications that You Learn to Build in the Book

This book is about many things, such as databaes, big data, models, model validation, etc. Most of things are better seen and read in the book. Dynamic dashboards and interactive websites, however, are best experienced here on a website. Therefore, we offer you here some of the applications that the book teaches you to make.

The Static Diversity Dashboard

This example is a diversity dashboard for a company or team. The data from the HR team is presented from different angles. Don't forget to select the other tabs in the blue menu bar, view the code with the button on the right, … and even the button to share the dashboard on social media works. However, abouve all it is interesting to see the interaction that is possible with the plots. For example, click [gender], [salary], and then move the cursor over the plot to get the menu bar. You can now zoom in, see values, etc.

Alternatively, you can find the dashboard here: on rpubs

Simulation of the Normal Distribution

This simple example takes random numbers from the normal distribution and then plot the historgram. This is useful to experiment and get a feeling what sample size can do and how the binning of the historgram influences your perception of the distribution.

This is dicussed in the book in section 36.1, Shiny.

Get Your Copy

The book will be available on 12 July 2020, but you can already reserve your copy via the following websites: