ABSTRACT
Data science aims to create value from data by creating useful, sound and aesthetic data products. Analysing data is rewarding, but creating value requires you to communicate the results. Analysing data in RStudio is fun but hard to share with anyone who does not understand the language. Of course, you could copy and paste results into a document, but that is neither efficient nor reproducible. This chapter explains how to communicate the fruits of your labour with colleagues and other interested parties by generating reports that combine text and analysis through literate programming. This chapter introduces a workflow for data science products and how to create data products using the R Markdown method. The learning objectives for this chapter are:
Implement the workflow for data science projects
Apply the principles of reproducible and replicable research
Use basic R Markdown to create a Powerpoint presentation from data
