GDP (current US$) - Japan

library(WDI)
df = WDI(indicator='NY.GDP.MKTP.CD', country=c('JP'), start=1960, end=2018)
head(df)
##   iso2c country NY.GDP.MKTP.CD year
## 1    JP   Japan   5.036892e+12 2018
## 2    JP   Japan   4.930837e+12 2017
## 3    JP   Japan   5.003678e+12 2016
## 4    JP   Japan   4.444931e+12 2015
## 5    JP   Japan   4.896994e+12 2014
## 6    JP   Japan   5.212328e+12 2013
## 2
library(WDI)
df = WDI(indicator=c(un='SL.UEM.TOTL.ZS', enf='FP.CPI.TOTL.ZG' ), country=c('TR'),  start=1992, end=2020)

library(dynlm)
## Loading required package: zoo
## 
## Attaching package: 'zoo'
## The following objects are masked from 'package:base':
## 
##     as.Date, as.Date.numeric
df.ts <- ts(df, start=c(1992), end=c(2020),frequency=1)
head(df.ts)
##      iso2c country year   un       enf
## [1,]     1       1 1992 8.51  70.07610
## [2,]     1       1 1993 8.96  66.09384
## [3,]     1       1 1994 8.58 105.21499
## [4,]     1       1 1995 7.64  89.11332
## [5,]     1       1 1996 6.63  80.41215
## [6,]     1       1 1997 6.84  85.66936
plot(df.ts[,"un"], ylab="işsizlik")

plot(df.ts[,"enf"], ylab="enflasyon")

##3

library(WDI)
gsyh <- WDI(country=c("US", "TR","JP"), indicator=c("NY.GDP.PCAP.CD"), start=1960, end=2020)
names(gsyh) <- c("iso2c", "Ülke", "KisiBasiGSYH", "Sene")
head(gsyh)
##   iso2c  Ülke KisiBasiGSYH Sene
## 1    JP Japan     40193.25 2020
## 2    JP Japan     40777.61 2019
## 3    JP Japan     39808.17 2018
## 4    JP Japan     38891.09 2017
## 5    JP Japan     39400.74 2016
## 6    JP Japan     34960.64 2015
TR <- cbind(gsyh$KisiBasiGSYH[gsyh$Ülke == "Turkey"], gsyh$Sene[gsyh$Ülke == "Turkey"])
TR <- TR[order(TR[,2]),]
TR
##             [,1] [,2]
##  [1,]   509.4240 1960
##  [2,]   283.8283 1961
##  [3,]   309.4466 1962
##  [4,]   350.6630 1963
##  [5,]   369.5835 1964
##  [6,]   386.3581 1965
##  [7,]   444.5495 1966
##  [8,]   481.6937 1967
##  [9,]   526.2135 1968
## [10,]   571.6178 1969
## [11,]   489.9304 1970
## [12,]   455.1049 1971
## [13,]   558.4209 1972
## [14,]   686.4901 1973
## [15,]   927.7992 1974
## [16,]  1136.3756 1975
## [17,]  1275.9566 1976
## [18,]  1427.3718 1977
## [19,]  1549.6444 1978
## [20,]  2079.2203 1979
## [21,]  1564.2472 1980
## [22,]  1579.0738 1981
## [23,]  1402.4064 1982
## [24,]  1310.2557 1983
## [25,]  1246.8245 1984
## [26,]  1368.4017 1985
## [27,]  1510.6763 1986
## [28,]  1705.8944 1987
## [29,]  1745.3649 1988
## [30,]  2021.8595 1989
## [31,]  2794.3505 1990
## [32,]  2735.7076 1991
## [33,]  2842.3700 1992
## [34,]  3180.1876 1993
## [35,]  2270.3373 1994
## [36,]  2897.8666 1995
## [37,]  3053.9472 1996
## [38,]  3144.3857 1997
## [39,]  4499.7375 1998
## [40,]  4116.1706 1999
## [41,]  4337.4780 2000
## [42,]  3142.9210 2001
## [43,]  3687.9561 2002
## [44,]  4760.1040 2003
## [45,]  6101.6321 2004
## [46,]  7456.2961 2005
## [47,]  8101.8569 2006
## [48,]  9791.8825 2007
## [49,] 10941.1721 2008
## [50,]  9103.4741 2009
## [51,] 10742.7750 2010
## [52,] 11420.5555 2011
## [53,] 11795.6335 2012
## [54,] 12614.7816 2013
## [55,] 12157.9904 2014
## [56,] 11006.2795 2015
## [57,] 10894.6034 2016
## [58,] 10589.6677 2017
## [59,]  9454.3484 2018
## [60,]  9121.5152 2019
## [61,]  8536.4333 2020
plot(TR, ylab="Kişi başı GSYH", xlab="Sene")







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