[R] Download CSV Files from EUROSTAT Website

Lorenzo Isella lorenzo.isella at gmail.com
Mon Nov 4 10:53:41 CET 2013

And thanks a lot.
This is indeed very close to what I need.
I am trying to figure out how not to "lose" the headers and how to avoid  
downloading labels like "(p)" together with the numerical data I am  
interested in.
If anyone on the list knows how to make this minor modifications, s/he  
will make my life much easier.


On Fri, 01 Nov 2013 14:25:49 +0100, Adams, Jean <jvadams at usgs.gov> wrote:

> Lorenzo,
> I may be able to help you get started.  You can use the XML package to  
> grab the information >off the internet.
> library(XML)
> mylines <- readLines(url("http://bit.ly/1coCohq"))
> closeAllConnections()mylist <- readHTMLTable(mylines, asText=TRUE) 
> mytable <- mylist1$xTable
> However, when I look at the resulting object, mytable, it doesn't have  
> informative row or >column headings.  Perhaps someone else can figure  
> out how to get that information.
> Jean
> On Thu, Oct 31, 2013 at 10:38 AM, Lorenzo Isella  
> <lorenzo.isella at gmail.com> wrote:
>> Dear All,
>> I often need to do some work on some data which is publicly available  
>> on the EUROSTAT >>website.
>> I saw several ways to download automatically mainly the bulk data from  
>> EUROSTAT to later on >>postprocess it with R, for instance
>> http://bit.ly/HrDICj
>> http://bit.ly/HrDL10
>> http://bit.ly/HrDTgT
>> However, what I would like to do is to be able to download directly the  
>> csv file >>corresponding to a properly formatted dataset (typically a  
>> dynamic dataset) from EUROSTAT.
>> To fix the ideas, please consider the dataset at the following link
>> http://bit.ly/1coCohq
>> what I would like to do is to automatically read its content into R, or  
>> at least to >>automatically download it as a csv file (full extraction,  
>> single file, no flags and >>footnotes) which I can then manipulate  
>> easily.
>> Any suggestion is appreciated.
>> Cheers
>> Lorenzo
>> ______________________________________________
>> R-help at r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide  
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.

More information about the R-help mailing list