I regularly extract tables from Wikipedia. Excel\'s web import does not work properly for wikipedia, as it treats the whole page as a table. In google spreadsheet, I can ent
Building on Andrie's answer, and addressing SSL. If you can take one additional library dependency:
library(httr)
library(XML)
url <- "https://en.wikipedia.org/wiki/Upper_Peninsula_of_Michigan"
r <- GET(url)
doc <- readHTMLTable(
doc=content(r, "text"))
doc[6]
Here is a solution that works with the secure (https) link:
install.packages("htmltab")
library(htmltab)
htmltab("http://en.wikipedia.org/wiki/Upper_Peninsula_of_Michigan",3)
The function readHTMLTable
in package XML
is ideal for this.
Try the following:
library(XML)
doc <- readHTMLTable(
doc="http://en.wikipedia.org/wiki/Upper_Peninsula_of_Michigan")
doc[[6]]
V1 V2 V3 V4
1 County Population Land Area (sq mi) Population Density (per sq mi)
2 Alger 9,862 918 10.7
3 Baraga 8,735 904 9.7
4 Chippewa 38,413 1561 24.7
5 Delta 38,520 1170 32.9
6 Dickinson 27,427 766 35.8
7 Gogebic 17,370 1102 15.8
8 Houghton 36,016 1012 35.6
9 Iron 13,138 1166 11.3
10 Keweenaw 2,301 541 4.3
11 Luce 7,024 903 7.8
12 Mackinac 11,943 1022 11.7
13 Marquette 64,634 1821 35.5
14 Menominee 25,109 1043 24.3
15 Ontonagon 7,818 1312 6.0
16 Schoolcraft 8,903 1178 7.6
17 TOTAL 317,258 16,420 19.3
readHTMLTable
returns a list of data.frame
s for each element of the HTML page. You can use names
to get information about each element:
> names(doc)
[1] "NULL"
[2] "toc"
[3] "Election results of the 2008 Presidential Election by County in the Upper Peninsula"
[4] "NULL"
[5] "Cities and Villages of the Upper Peninsula"
[6] "Upper Peninsula Land Area and Population Density by County"
[7] "19th Century Population by Census Year of the Upper Peninsula by County"
[8] "20th & 21st Centuries Population by Census Year of the Upper Peninsula by County"
[9] "NULL"
[10] "NULL"
[11] "NULL"
[12] "NULL"
[13] "NULL"
[14] "NULL"
[15] "NULL"
[16] "NULL"
One simple way to do it is to use the RGoogleDocs
interface to have Google Docs to do the conversion for you:
http://www.omegahat.org/RGoogleDocs/run.html
You can then use the =ImportHtml
Google Docs function with all its pre-built magic.