Miscalleneous tiny datasets to facilitate data analysis
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europe
misc
russia
shapefile/russia
world
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README.md
mydata.Rproj

README.md

Readme

This repository has several small pieces of data that I'm regularly using in my work for combining different datasets

World

Data countriesContinents.csv has all the World countries with continents

Read data in R

library(RCurl)
GHurl <- getURL("https://raw.githubusercontent.com/muuankarski/data/master/world/countries_continents.csv")
dat <- read.csv(text = GHurl)

Europe

Data eu_cntry.csv has all the European countries listed with names in native language, English and Finnish, some regime classification, too.

Read data in R

library(RCurl)
GHurl <- getURL("https://raw.githubusercontent.com/muuankarski/data/master/europe/eu_cntry.csv")
dat <- read.csv(text = GHurl)

Russia

Several regional coding to match cyrillic region names with shapefiles from gadm.org

Russian regions

library(RCurl)
GHurl <- getURL("https://raw.githubusercontent.com/muuankarski/data/master/russia/regionkey.csv")
dat <- read.csv(text = GHurl)

Karelia region key

library(RCurl)
GHurl <- getURL("https://raw.githubusercontent.com/muuankarski/data/master/russia/karelia_key_rayon.csv")
dat <- read.csv(text = GHurl)

Nizhni region key

library(RCurl)
GHurl <- getURL("https://raw.githubusercontent.com/muuankarski/data/master/russia/nizhni_key_rayon.csv")
dat <- read.csv(text = GHurl)