# Nutritional supplements, ranked

**Revolutions**, 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.

One of my favourite shows on TV right now is *The Big Bang Theory*. For those who haven’t seen it: it’s like *Friends*, except instead of New York yuppies, it’s PhD physicists and engineers at CalTech. It’s nice to see geeks and smart people be the focus (rather than the comic relief) of a sitcom. Also, the equations on the ubiquitous whiteboards on the sets are actually meaningful, instead of the usual scattering of random symbols. Here’s a typical exchange from the show (Penny is, literally, the girl next door; Sheldon is a genius physicist with no sense of sarcasm):

(Penny walks to a nearby shelf of vitamins and supplements.)

Sheldon: Oh boy.

Penny: What now?

Sheldon: Well, there’s some value to taking a multi-vitamin but the human body can only absorb so much. What you’re buying here are the ingredients for very expensive urine.

Penny: (sarcastically) Well, maybe that’s what I was going for.

Sheldon: (trying to be helpful) Well then you’ll want some manganese.

I laughed at that exchange: I’ve been saying the same thing as Sheldon for years. And so I was interested to see this of the value of nutritional supplements from Information is Beautiful, even if the eye candy factor rather outweighs the elegance of the information design. (Who needs to use the X axis, anyway?) Fortunately, R blogger Tal Galili has taken the source data (made available as a Google Spreadsheet, so it can be read directly into R) and presented it as a simple bar chart, ranking the supplements by their efficacy score (0 means no evidence of efficacy; 6 means strong evidence of efficacy for the condition listed to the right):

Tal has helpfully made the R code to recreate this plot available in his blog post.

R-statistics blog: Nutritional supplements efficacy score

**leave a comment**for the author, please follow the link and comment on their blog:

**Revolutions**.

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.