# The Mechanics of Data Visualization

[This article was first published on

Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

**TRinker's R Blog » R**, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

I recently presented about the mechanics of data visualization at the CLaRI Literacy Conference to a group of researchers, teachers and school administrators. The presentation is based on the work of Few (2012; 2009).

While the presentation itself is not about R directly, the slides were created by reports(Rinker, 2013)/slidify (Vaidyanathan, 2012) and most of the graphics were also created within R. I have included the following for your learning:

- YouTube Video of the presentation
- The presentation slides
- The .Rmd and .bib to create the presentation

## Video of the Presentation

## References

- Stephen Few, (2009) Now you see it: Simple visualization techniques for quantitative

analysis. - Stephen Few, (2012) Show me the numbers: Designing tables and graphs to enlighten.
- Tyler Rinker, (2013) reports: Package to asssist in report writing. http://github.com/trinker/reports
- R. Vaidyanathan, (2012) slidify: Generate reproducible html5 slides from R markdown. http://ramnathv.github.com/slidify/

You feedback is greatly appreciated! Please post comments below.

To

**leave a comment**for the author, please follow the link and comment on their blog:**TRinker's R Blog » R**.R-bloggers.com offers

**daily e-mail updates**about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.

Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.