A High-Quality Reports using R Markdown
A great way to share data and data analysis narrative in R
You performed exploratory data analysis using R and would like to share the work with a diverse set of audiences, people who understand R and people who do not understand R but are interested to understand your analysis and narrative.
R Markdown is the tool in your R repertoire to help you create reports with narrative, plots, and data analysis.
Contents discussed in this post.
- What is R Markdown, and how does it help?
- What libraries are required for R Markdown to generate reports?
- How does R Markdown render?
- What are the output formats supported by R Markdown?
- Different components of R Markdown, including code chunks and inline code?
- An example of generating reports in HTML format using R Markdown
R Markdown is a lightweight markup library designed for quickly turning data analysis and narratives into high-quality documents, reports, presentations, and dashboards in static and dynamic/interactive output formats. R Markdown generates documents and presentations to be shared across a multitude of audiences. R Markdown contains the computing code and the narrative to explain the data analysis and data insights.
R Markdown assists you to save and execute R code along with the narratives to generate high-quality reports to be shared in different formats like HTML, doc, and pdf
R Markdown files can contain three different types of content
- A YAML header surrounded by
- R code chunks surrounded by
- Text mixed with simple text formatting
Libraries needed for R Markdown
knitr takes a plain text document with embedded code as an input, executes the code, and ‘knits’ the results back into the document.
The R package
rmarkdown is a library that processes and converts
.Rmd files into several formats like HTML, PDF, doc, etc.