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  • Discover the RStudio IDE and details about the user interface
  • Communicate your insights with R Markdown in static and interactive ways
  • Learn how to use different graphic systems to visualize your data
  • Build interactive web applications with the Shiny framework to present and share your results
  • Understand the process of package development and assemble your own R packages
  • Easily collaborate with other people on your projects by using Git and GitHub
  • Manage the R environment for your organization with Shiny server
  • Apply your obtained knowledge of R development to create a real-world dashboard solution

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 bridge language of data science for developers and analyst worldwide. Mastering the use of RStudio will help you to solve real-world data problems.

This book begins by guiding you through the installation of RStudio and explaining the user interface step by step. From there, the next logical step is to use this knowledge to improve your data analysis workflow. We will do this by building up our toolbox to create interactive reports and graphs or even web applications with Shiny. To collaborate with others, we will explore how to use Git and GitHub and how to build your own packages to ensure top quality results. Finally, we put it all together in an interactive dashboard written with R.

  • Discover the multi-functional use of RStudio to support your daily work with R code
  • Learn to create stunning, meaningful, and interactive graphs and learn to embed them into easy communicable reports using multiple R packages
  • Develop your own R packages and Shiny web apps to share your knowledge and collaborate with others.
Page Count 348
Course Length 10 hours 26 minutes
ISBN 9781783982547
Date Of Publication 4 Dec 2015


Julian Hillebrand

Julian Hillebrand studied international business marketing management at the Cologne Business School in Germany. His interest in the current questions of the business world showed him the importance of data-driven decision-making. Because of the growing size of available inputs, he soon realized the great potential of R for analyzing and visualizing data. This fascination made him start a blog project about using data science, especially for social media data analysis, which can be found at He managed to combine his hands-on tutorials with his marketing and business knowledge.

Julian is always looking for new technological opportunities and is also interested in the emerging field of machine learning. He completed several digital learning offerings to take his data science capabilities to the next level.

Maximilian H. Nierhoff

Maximilian H. Nierhoff is an analyst for online marketing with more than half a decade of experience in managing online marketing channels and digital analytics. After studying economics, cultural activities, and creative industries, he started building online marketing departments and realized quickly that future marketing forces should also have programming knowledge. He has always been passionate about everything related to the topics of data, marketing, and customer journey analysis. Therefore, he has specialized in using R since then, which is his first-choice language for programming, data science, and analysis capabilities. He considers himself a lifelong learner and is an avid user of MOOCs, which are about R and digital analytics.