A Quick Note On Large 2D Data

October 3, 2012

(This article was first published on Yihui Xie, and kindly contributed to R-bloggers)

Two months ago I was told one of my old blog posts was borrowed to this post: Finding patterns in big data with SAS/GRAPH. I wrote my blog post four years ago just for fun. The over-plotting issue is pretty boring to me now, but what caught my attention were:

  1. alpha-transparency was a new feature in SAS 9.3 (I found this hard to believe);
  2. the SAS code was so much longer (not surprising to me);

Well, I do not care and do not intend to start the boring war. If I were to write that post again, I would add the hexagon plot as yet another alternative.

with(x, plot(hexbin(V1, V2)))

hexbin of the random normal + circle data

Two personal announcements:

  1. I’ll be attending the Infovis Week at Seattle from Oct 14 to 17;
  2. I’ll pay a visit to the Department of Biostatistics at Johns Hopkins from Oct 23 to 24;

I’m happy to meet people nearby during these days. My Seattle schedule is pretty much empty; just let me know.

To leave a comment for the author, please follow the link and comment on their blog: Yihui Xie.

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.


Mango solutions

plotly webpage

dominolab webpage

Zero Inflated Models and Generalized Linear Mixed Models with R

Quantide: statistical consulting and training





CRC R books series

Six Sigma Online Training

Contact us if you wish to help support R-bloggers, and place your banner here.

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)