\n“Harmonised unemployment rates (%) – monthly data (ei_lmhr_m)”<\/p>\n
#You will also find Eurostat Data source from here<\/a>: R and Eurostat bulk data In this Exercise I am testing Eurostat bulk data source and plot these data into Heatmap. Let’s try with this data: “Harmonised unemployment rates (%) – monthly data (ei_lmhr_m)” #You will also find Eurostat Data source from here: http:\/\/epp.eurostat.ec.europa.eu\/portal\/page\/portal\/statistics\/bulk_download #I will automate this data downloading and extracting, but just now […] Read More<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"gallery","meta":[],"categories":[19,22,23],"tags":[37,38,48],"_links":{"self":[{"href":"https:\/\/science.ekqvist.fi\/blogi\/wp-json\/wp\/v2\/posts\/146"}],"collection":[{"href":"https:\/\/science.ekqvist.fi\/blogi\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/science.ekqvist.fi\/blogi\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/science.ekqvist.fi\/blogi\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/science.ekqvist.fi\/blogi\/wp-json\/wp\/v2\/comments?post=146"}],"version-history":[{"count":0,"href":"https:\/\/science.ekqvist.fi\/blogi\/wp-json\/wp\/v2\/posts\/146\/revisions"}],"wp:attachment":[{"href":"https:\/\/science.ekqvist.fi\/blogi\/wp-json\/wp\/v2\/media?parent=146"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/science.ekqvist.fi\/blogi\/wp-json\/wp\/v2\/categories?post=146"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/science.ekqvist.fi\/blogi\/wp-json\/wp\/v2\/tags?post=146"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}![\"\"](\"http:\/\/science.ekqvist.fi\/blogi\/wp-content\/uploads\/2012\/07\/Harmonised-unemployment-rates-percent-monthly-data.jpg\" "\\"Harmonised")
<\/a><\/p>\n
\nhttp:\/\/epp.eurostat.ec.europa.eu\/portal\/page\/portal\/statistics\/bulk_download<\/p>\n
\n#I will automate this data downloading and extracting, but just now this is semiautomatic
\n# create download directory and set it
\n.exdir = 'c:\/data\/tmp2' # put there your own data folder
\ndir.create(.exdir)
\n.file = file.path(.exdir, 'ei_lmhr_m.tsv.gz') # change this
\n<\/code>
\n# download file
\nurl = 'http:\/\/epp.eurostat.ec.europa.eu\/NavTree_prod\/everybody\/BulkDownloadListing?sort=1&downfile=data
\n<\/code>
\n%2Fei_lmhr_m.tsv.gz'
\ndownload.file(url, .file)
\n<\/code>
\n# untar it (Note: I do not know why I got error message: Error in getOct(block, 100, 8) : invalid octal digit)
\nuntar(.file, compressed = 'gzip', exdir = path.expand(.exdir))
\n<\/code>
\n# Argh...something going wrong with this step, so I have to manipulate just downloaded data. First I remove comma
\n<\/code>
\n# from very first variables and etc... I always use Notetab light as a Text editor in this kind of task.
\n<\/code>
\n# Reading file into R. Please refer here your own data folder...
\ninput <- read.table(\"c:\/data\/tmp2\/ei_lmhr_m.tsv\", header=TRUE, sep=\"\\t\", na.strings=\":\", dec=\".\", strip.white=TRUE)
\n<\/code>
\n#just checking
\nhead(input)
\n<\/code>
\n<\/code>
\n# LM-UN-T-TOT = Unemployment rate according to ILO definition - Total rate<\/code>
\n# NSA = not seasonally adjusted
\ninput<- input[which(input$indic==\"LM-UN-T-TOT\"),]
\ninput<- input[which(input$s_adj==\"NSA\"),]
\n<\/code>
\n#giving appropriate names in to the heatmap (without this manouver there will be only row id)
\nrow.names(input) <- input$geo.time
\n<\/code>
\n#just checking
\nhead(input)
\n<\/code>
\n#Column selection. We will get data between time period 05\/2008 - 05\/2012
\n<\/code>
\ninput2 <- input[,5:53]
\n<\/code>
\n# data frame must change into data matrix\u00a0 to produce heatmap.
\ninput_matrix <- data.matrix(input2)
\n<\/code>
\n#heatmap is almost here
\ninput_heatmap <- heatmap(input_matrix, Rowv=NA, Colv=NA, col = heat.colors(256), scale=\"column\", margins=c
\n<\/code>
\n(5,10), xlab = \"Harmonised unemployment rates (%) - monthly data\", ylab= \"Country or Area\")
\n<\/code>
\n<\/code>
\n#saving heatmap into folder
\njpeg(\"G:\/data\/home\/2012\/marko\/blogi_rbloggerqvist\/data\/eurostat\/Harmonised unemployment rates percent
\n<\/code>
\nmonthly data.jpg\")
\ninput_heatmap <- heatmap(input_matrix, Rowv=NA, Colv=NA, col = heat.colors(256), scale=\"column\", margins=c
\n<\/code>
\n(5,10), xlab = \"Harmonised unemployment rates (%) - monthly data\", ylab= \"Country or Area\")
\ndev.off()
\n<\/code>
\nHave fun,
\nMarko<\/code><\/p>\n","protected":false},"excerpt":{"rendered":"