Announcing: Mastering RStudio

Learn the holistic use of RStudio to communicate your R code effectively and persuasively.

Max (@nierhoff) and I are both absolute R enthusiasts. We both strongly believe in the power of R for statistical computing. And we are both also fascinated by the nearly endless possibilities of the R programming language enabling users to build robust code for complex data analyses, create all kinds of stunning graphs, even complete web applications and more.

If you have ever worked with R you will probably have heard of RStudio and its incredible user interface for R.

RStudio helps you to manage small to large projects by giving you a multi-functional integrated development environment. Combined with the power and flexibility of the R programming language, which is becoming the lingua franca of data science for developers and analyst worldwide, mastering the use of RStudio will help you to solve real-world data problems.

And so we decided to put this experience into our new book: Mastering RStudio.

Who is this book for?

The book is for people who already know the basics principles of the R programming language and want to learn how to communicate data analysis results effectively and persuasively with the latest web-based tool.

In the book we will cover how you can build interactive web applications with the Shiny framework to present and share your results and also we will make you understand the process of package development and enable you to assemble your own R packages.

Whether you are a beginner or an expert in using R, this books helps you to speed up your daily work by mastering RStudio. Anyone trying to answer simple or complex data questions will get a working demonstration of the power of the tools needed to solve real-world data problems. You will learn how to collaborate and share your results by using Git systems and interactive output formats or apps.

Mastering RStudio will be released in October 2015 and if we could convince you, you can pre-order your copy of the book today: Mastering RStudio: Develop, Communicate and Collaborate with R



Julian Hillebrand

During my time at university and learning about the basics of economics I started heavily exploring the possibilities and changes caused by digital disruptions and the process of digital transformation, whereby I focused on the importance of data and data analytics and combination with marketing and management.
My personal focus of interest lies heavily on technology, digital marketing and data analytics. I made early acquaintance with programming and digital technology and never stop being interested in following the newest innovations.

I am an open, communicative and curious person. I enjoy writing, blogging and speaking about technology.

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    @Julian, I see your post on stackoverflow about using Word2Vec in R and then using it for deep learning in H2O. I am following the same approach and need some guidance. Just want to check if you have managed to complete sentiment analysis with the methodology described. Thanks in advance for your time and help. SUNIL (

    • Julian Hillebrand

      Hey Sunil

      Actually I chose another way as I did not manage to implement the Word2Vec properly. But I think that H2O will include it in one of the next versions.
      Please let me know if you find a solution.

      Best regards