diffireciate data between mexico and turkey of employment in agriculture female (% of female employment )
Mexico data
library(WDI)
df = WDI(indicator='SL.AGR.EMPL.FE.ZS', country=c('MX','TR','US'), start=1960, end=2018)
head(df)
## iso2c country SL.AGR.EMPL.FE.ZS year
## 1 MX Mexico 3.59 2018
## 2 MX Mexico 3.81 2017
## 3 MX Mexico 3.65 2016
## 4 MX Mexico 3.73 2015
## 5 MX Mexico 3.77 2014
## 6 MX Mexico 3.94 2013
Turkey data
library(WDI)
df = WDI(indicator='SL.AGR.EMPL.FE.ZS', country=c('TR','US'), start=1960, end=2018)
head(df)
## iso2c country SL.AGR.EMPL.FE.ZS year
## 1 TR Turkey 26.03 2018
## 2 TR Turkey 28.21 2017
## 3 TR Turkey 28.59 2016
## 4 TR Turkey 31.00 2015
## 5 TR Turkey 32.77 2014
## 6 TR Turkey 35.56 2013
what is the livestock index between Mexico and Turkey in (2014-2016)
the livestock index between Mexico and Turkey in (2014-2016) the livestock index between Mexico and Turkey in (2014-2016)
library(WDI)
df = WDI(indicator='AG.PRD.LVSK.XD', country=c('MX','TR','US'), start=1960, end=2018)
head(df)
## iso2c country AG.PRD.LVSK.XD year
## 1 MX Mexico 108.64 2018
## 2 MX Mexico 105.20 2017
## 3 MX Mexico 102.37 2016
## 4 MX Mexico 99.87 2015
## 5 MX Mexico 97.77 2014
## 6 MX Mexico 96.25 2013
library(WDI)
df = WDI(indicator='AG.PRD.LVSK.XD', country=c('TR','US'), start=1960, end=2018)
head(df)
## iso2c country AG.PRD.LVSK.XD year
## 1 TR Turkey 103.31 2018
## 2 TR Turkey 104.26 2017
## 3 TR Turkey 100.37 2016
## 4 TR Turkey 101.26 2015
## 5 TR Turkey 98.37 2014
## 6 TR Turkey 93.74 2013
Note that the echo = FALSE parameter was added to the
code chunk to prevent printing of the R code that generated the
plot.