R-Chart: Year End Wrap Up

December 31, 2010

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

Thanks to everyone who visited and commented here at R-Chart over the last year!  Blogging has forced me to crystallize my thoughts and I hope others have benefited a bit from these meanderings.  It it great to interact with the knowledgeable, educated and friendly folks in the R community.

I make no claims to be an expert or authority on statistics, visualization, design or any of the myriad of other topics touched on over the past year.  I appreciate all who have provided encouragement, suggestions and corrections.  Unlike many of you more scientifically minded types who meticulously verify all conclusions before speaking, I tend to throw ideas out in the blog and make adjustments and corrections based upon feedback.  This is really one of the great values of blogging – and so again, thank you for your responsiveness.  It was unexpected and very helpful.

Lessons Learned
In case you blog or are thinking of blogging, I thought you might be interested in how things have worked here at R-Chart to this point.

Make Good Titles
It was interesting to find out which items were of most interest (based upon the number of hits per page).  A great deal seems to be based upon the headline to the blog – never underestimate the value of a well-constructed-sound-byte of a title.  This often dictates the future of a posting.  Bad title = no response.  I really never gave much thought to how important it is to construct a meaningful, attention grabbing title.

Blog Promotion
Promotion of each article also took more time than I expected.  Tal over at R-Bloggers really does the R community a service – bloggers who sign up have content aggregated automatically.  If you want to draw additional readers you have to do a certain amount of footwork yourself.  I get about 15% of total traffic to the site from search engines – which is kind of low.  Most of the generic sites that I submitted the blog to didn’t send any traffic.  Content that was of specific interest to a given community ended up resulting in the most traffic.

The top sites that have sent traffic this way are shown below.

www.reddit.com       15,218
www.google.com 8,932
news.ycombinator.com 7,211
www.r-bloggers.com 4,885
www.dzone.com 3,682
habrahabr.ru         1,167  (Hi to friends in Russia for this – the highest ranking non-English site)
twitter.com            689
www.google.co.in            565
www.google.co.uk            531
www.rubyflow.com            470

R is International
I was really amazed at the international response – folks from 164 countries around the world hit the blog since its inception.  Germany was the top non-English site in total visits and France was also well represented.

This probably is of no surprise to many – R has been widely used in academic research and there are a relatively small number of highly specialized professionals around the world using R.  It’s obvious that the web reaches everywhere – it is not obvious who will end up visiting a given site.

Interest as Indicated by Traffic
A few other numbers of note:

96,928  R-Chart Pageviews all time history as of 01/31/2010.  
620         Downloads of the free R-Chart iPhone application
237         Total days blogging at blogspot (as.Date(‘2010-12-31’) – as.Date(‘2010-05-08’))
195            Days blog has lived at r-chart.com (as.Date(‘2010-12-31’) – as.Date(‘2010-06-19’))
158         Comments on this blog
Apologies to folks who are put off by the advertising.  I had a goal to dip into this area a bit to come to offset costs and maybe buy a book or two.  This may happen eventually…
$ 42.89 AdSense Revenue
$ 13.46 Advertising Revenue through Amazon affiliates
Again – thanks to all – and have a Happy New Year

To leave a comment for the author, please follow the link and comment on their blog: R-Chart.

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


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)