Cucumber time, food on a 2D plate / plane

July 27, 2018
By

(This article was first published on R – Longhow Lam's Blog, and kindly contributed to R-bloggers)

komkommer

Introduction

It is 35 degree Celsius out side, we are in the middle of the ‘slow news season’, in many countries also called cucumber time.  A period typified by the appearance of less informative and frivolous news in the media.

Did you know that 100 g of cucumber contain 0.28 mg of iron and 1.67 g of sugar? You can find all the nutrient values of a cucumber on the USDA food databases.

Food Data

There is more data, for many thousands of products you can retrieve nutrient values through an API (need to register for a free KEY). So besides the cucumber I extracted data for different type of food for example

  • Beef products
  • Dairy & Egg products
  • Vegetables
  • Fruits
  • etc.

And as a comparison, I retrieved the nutrient values for some fast food products from McDonald’s and Pizza Hut. Just to see if pizza can be classified  as vegetable from a data point of view ? So the data looks like:

Selection_078

I have sampled 1500 products and per product we have 34 nutrient values.

Results

The 34 dimensional data is now compressed / projected onto a two dimensional plane using UMAP (Uniform Manifold Approximation and Projection). There is a Python and R package to this.

Selection_079

An interactive map can be found here, and the R code to retrieve and plot the data here. Cheers, Longhow.

 

To leave a comment for the author, please follow the link and comment on their blog: R – Longhow Lam's Blog.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers

Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)