rustfare: toolbox for R language for open welfare data from Russian Federation

• The rustfare package pools together tools for searching, extracting, and formatting welfare data on Russian Federation from different data providers.
• The rustfare functions are named according to data provider or the data set.
• Currently there is data available from: Rosstat Regional Statistics, OECD, Quality of Governance -institute and World Bank

library(devtools)
install_github(repo = "rustfare", username = "muuankarski")
library(rustfare)

• Rosstat Regional Statistics
  • Регионы России. Социально-экономические показатели
• Quality of Governance
  • The Quality of Governance Institute (University of Gothernburg
• Oecd
  • Country statistical profile: Russian Federation
• World Bank
  • World Bank: World Development Indicators

Function IndicatorRosstat() returns a dataset with available indicators and metadata in Russian and English

library(rustfare)
ind <- IndicatorRosstat()

To dowload the data you may use GetRosstat()-function that requires two arguments,

1. indicator (from the listing above),
2. level (federal/federal_district/region)

library(rustfare)
dat <- GetRosstat("infant_mortality_rate",
                   "federal_district")

library(rustfare) # load rustfare for obtaining the data
library(ggplot2) # load ggplot2 for plotting
dat <- GetRosstat("infant_mortality_rate",
                   "federal_district")
ggplot(dat, aes(x=year,y=value,color=region_en)) +
  geom_point() + 
  geom_line() +
  geom_text(data = subset(dat, year == 2010), 
            aes(x=year,y=value,
                color=region_en,label=region_en),
            size=3, hjust=1) +
  theme(legend.position="none")

• Link to Quality of Governance institute

The QoG Institute was founded in 2004 by Professor Bo Rothstein and Professor Sören Holmberg. It is an independent research institute within the Department of Political Science at the University of Gothenburg. We conduct and promote research on the causes, consequences and nature of Good Governance and the Quality of Government (QoG) - that is, trustworthy, reliable, impartial, uncorrupted and competent government institutions.

The main objective of our research is to address the theoretical and empirical problem of how political institutions of high quality can be created and maintained. A second objective is to study the effects of Quality of Government on a number of policy areas, such as health, the environment, social policy, and poverty. We approach these problems from a variety of different theoretical and methodological angles.

library(rustfare)
dat <- GetQog(country = c("Russia","China"), # country,countries
              indicator=c("undp_hdi","fh_polity2")) # indicator(s)
library(ggplot2)
ggplot(dat, aes(x=year,y=value,color=cname)) + 
  geom_point() + geom_line() +
  geom_text(data = subset(dat, year == 2003), 
            aes(x=year,y=value,color=cname,label=cname)) +
  facet_wrap(~indicator, scales="free") +
  theme(legend.position="none")

There is a RosstatMapPlot-function in rustfare that takes measure, year and level as arguments.