GC13028_P1_1

#1. Carga de las funciones.

library(dplyr)

## 
## Attaching package: 'dplyr'

## The following objects are masked from 'package:stats':
## 
##     filter, lag

## The following objects are masked from 'package:base':
## 
##     intersect, setdiff, setequal, union

source(file = "C:/Users/user/Desktop/comercio/funciones_ comercio_exterior.R" ,echo = TRUE,max.deparse.length = 100,encoding = "utf-8")

## 
## > options(scipen = 999)
## 
## > library(dplyr)
## 
## > library(readxl)
## 
## > library(stringr)
## 
## > load("C:/Users/user/Desktop/comercio/data_comercio_exterior_actualizado.RData")
## 
## > nombre_archivo <- "C:/Users/user/Desktop/comercio/nombres_iso_paises.xlsx"
## 
## > nombres_iso_paises <- read_excel(nombre_archivo)
## 
## > data_comercio_exterior_agosto_2020 <- data_comercio_exterior_agosto_2020 %>% 
## +     left_join(nomb .... [TRUNCATED] 
## 
## > herramientas_mostrar_paises <- function() {
## +     paises <- nombres_iso_paises %>% select(nom_pais .... [TRUNCATED] 
## 
## > herramientas_mostrar_regiones <- function() {
## +     nombres_iso_paises %>% group_by(region, cod_re .... [TRUNCATED] 
## 
## > herramientas_mostrar_paises_en_tabla <- function() {
## +     data_comercio_exterior_agosto_2020 %>%  .... [TRUNCATED] 
## 
## > indicadores_IVCR_capitulo <- function(codigo_pais, 
## +     capitulo, anio) {
## +     codigo_pais <- e .... [TRUNCATED] 
## 
## > indicadores_IVCR_partida <- function(codigo_pais, 
## +     partida, anio) {
## +     codigo_pais <- enq .... [TRUNCATED] 
## 
## > indicadores_Balassa_capitulo <- function(codigo_pais, 
## +     capitulo, anio, normalizado = TRUE) { .... [TRUNCATED] 
## 
## > indicadores_Balassa_capitulo <- function(codigo_pais, 
## +     capitulo, anio, normalizado = TRUE) { .... [TRUNCATED] 
## 
## > indicadores_Balassa_partida <- function(codigo_pais, 
## +     partida, anio, normalizado = TRUE) {
## + .... [TRUNCATED] 
## 
## > indicadores_IHH_Herfindahl_Hirschmann_anual_texto <- function(codigo_pais, 
## +     anio, normalizad .... [TRUNCATED] 
## 
## > indicadores_IHH_Herfindahl_Hirschmann_anual <- function(codigo_pais, 
## +     anio, normalizado = TR .... [TRUNCATED]

#2. Herramientas de Consulta de Países

library(kableExtra)

## 
## Attaching package: 'kableExtra'

## The following object is masked from 'package:dplyr':
## 
##     group_rows

herramientas_mostrar_paises() %>% head() %>% kable() %>% kable_material(html_font = "sans-serif")

nom_pais_esp	codigo_pais	region	cod_region	region_intermedia	cod_region_intermedia
Afganistan	4	Asia	142	NA	NA
Albania	8	Europa	150	NA	NA
Alemania	276	Europa	150	NA	NA
Andorra	20	Europa	150	NA	NA
Angola	24	África	2	África Central	17
Anguila (R.U.)	660	Américas	19	Caribe	29

EJERCICIO 1

(Clave 01)

#1. Calcule las exportaciones totales de El Salvador hacia la región de África Sub-Sahariana, para el periodo 2019-2020 son (en millones de US$)

  data_comercio_exterior_agosto_2020 %>%
  group_by(sub_region="Africa Sub-Sahariana",anio) %>%
  summarise(`Total Exportaciones MM US$`=sum(valor_fob)/1e6) %>% 
  kable (digits = 2) %>% kable_styling()

## `summarise()` regrouping output by 'sub_region' (override with `.groups` argument)

sub_region	anio	Total Exportaciones MM US$
Africa Sub-Sahariana	2017	5760.02
Africa Sub-Sahariana	2018	5904.63
Africa Sub-Sahariana	2019	5943.32
Africa Sub-Sahariana	2020	8922.79

#2. Obtenga el Saldo de la balanza comercial de El Salvador, con “Asia Sudoriental”, para el periodo 2017-2019, (en millones de US$)

data_comercio_exterior_agosto_2020 %>%
 group_by(sub_region=="Asia Sudoriental", anio) %>%
  mutate(saldo_bc=(valor_fob)/1e6-(valor_cif)/1e6)

## # A tibble: 1,084,170 x 20
## # Groups:   sub_region == "Asia Sudoriental", anio [10]
##    pais  sac    anio   mes valor_cif kilogramos_impo~ valor_fob kilogramos_expo~
##    <chr> <chr> <dbl> <dbl>     <dbl>            <dbl>     <dbl>            <dbl>
##  1 Afga~ 4010~  2017     4      58.1             0.92         0                0
##  2 Afga~ 6812~  2017     4      88.4             1.39         0                0
##  3 Afga~ 8487~  2017     4      20.9             0.33         0                0
##  4 Afga~ 8511~  2017     4      98.9             1.56         0                0
##  5 Afga~ 8708~  2017     4      62.2             0.98         0                0
##  6 Afga~ 9028~  2017     4     130.              2.05         0                0
##  7 Afga~ 6913~  2017    12     650.              5.49         0                0
##  8 Afga~ 7326~  2017    12       2               0.01         0                0
##  9 Afga~ 0806~  2018     6    6448.           1464.           0                0
## 10 Afga~ 6104~  2018    10    3153.           2408.           0                0
## # ... with 1,084,160 more rows, and 12 more variables: nom_pais_ingles <chr>,
## #   iso_2 <chr>, iso_3 <chr>, codigo_pais <dbl>, region <chr>,
## #   cod_region <dbl>, sub_region <chr>, cod_sub_region <dbl>,
## #   region_intermedia <chr>, cod_region_intermedia <dbl>, `sub_region == "Asia
## #   Sudoriental"` <lgl>, saldo_bc <dbl>

#3. Por cada dólar exportado a la región Sudamericana, en el año 2019, ¿Cuánto se importo?

data_comercio_exterior_agosto_2020 %>%
 group_by(sub_region="Sudamerica",anio=2019)%>%
mutate((valor_fob/1e6)/(valor_cif/1e6))

## # A tibble: 1,084,170 x 19
## # Groups:   sub_region, anio [1]
##    pais  sac    anio   mes valor_cif kilogramos_impo~ valor_fob kilogramos_expo~
##    <chr> <chr> <dbl> <dbl>     <dbl>            <dbl>     <dbl>            <dbl>
##  1 Afga~ 4010~  2019     4      58.1             0.92         0                0
##  2 Afga~ 6812~  2019     4      88.4             1.39         0                0
##  3 Afga~ 8487~  2019     4      20.9             0.33         0                0
##  4 Afga~ 8511~  2019     4      98.9             1.56         0                0
##  5 Afga~ 8708~  2019     4      62.2             0.98         0                0
##  6 Afga~ 9028~  2019     4     130.              2.05         0                0
##  7 Afga~ 6913~  2019    12     650.              5.49         0                0
##  8 Afga~ 7326~  2019    12       2               0.01         0                0
##  9 Afga~ 0806~  2019     6    6448.           1464.           0                0
## 10 Afga~ 6104~  2019    10    3153.           2408.           0                0
## # ... with 1,084,160 more rows, and 11 more variables: nom_pais_ingles <chr>,
## #   iso_2 <chr>, iso_3 <chr>, codigo_pais <dbl>, region <chr>,
## #   cod_region <dbl>, sub_region <chr>, cod_sub_region <dbl>,
## #   region_intermedia <chr>, cod_region_intermedia <dbl>,
## #   `(valor_fob/1000000)/(valor_cif/1000000)` <dbl>

#4. Calcule el indicador de Balassa de El Salvador, con México, Estados Unidos y Canadá, durante el periodo 2017-2020, para el capitulo “01” del SAC.a

En este ejemplo se analizará el indice de Balassa con USA, para el periodo 2017-2020, para al capitulo “01”

 capitulo<-"01"
data.frame("años"=2017:2020,
    "IB_Mexico"=sapply(X=2017:2020,FUN = indicadores_Balassa_capitulo,codigo_pais=484,capitulo="01"),
    "IB_USA"=sapply(X=2017:2020,FUN = indicadores_Balassa_capitulo,codigo_pais=840,capitulo="01"),
    "IB_Canada"=sapply(X=2017:2020,FUN = indicadores_Balassa_capitulo,codigo_pais=124,capitulo="01")) %>%
    
  kable(caption = "Balassa version 2",
          digits=2,align= "l") %>% 
kable_styling(bootstrap_options = "striped",
   full_width= TRUE)

Balassa version 2

años	IB_Mexico	IB_USA	IB_Canada
2017	-0.49	0.46	0.49
2018	-0.78	0.43	0.69
2019	-0.87	0.50	0.30
2020	-0.99	0.18	-0.34

(clave 02)

#1- Calcule el indicador de IVCR de El Salvador, con México, Estados Unidos y Canadá, durante el periodo 2017-2020, para el capitulo “01” del SAC.

capitulo<-"01"
data.frame("años"=2017:2020, 
               "IVCR_Mexico"=sapply(X=2017:2020,FUN = indicadores_IVCR_capitulo, codigo_pais=484,capitulo="01"),
               "IVCR_USA"=sapply(X=2017:2020,FUN = indicadores_IVCR_capitulo, codigo_pais=840,capitulo="01"),
              "IVCR_Canada"=sapply(X=2017:2020,FUN = indicadores_IVCR_capitulo, codigo_pais=124,capitulo="01")) %>%

 kable(caption = "IVCR VERSION 2",
          digits=2,align= "l") %>% 
kable_styling(bootstrap_options = "striped",
   full_width= TRUE)

IVCR VERSION 2

años	IVCR_Mexico	IVCR_USA	IVCR_Canada
2017	0	-0.13	0
2018	0	-0.10	0
2019	0	-0.09	0
2020	0	-0.06	0

#2. Por cada dólar exportado a la región Centroamericana , en el periodo 2017-2019, ¿Cuánto se importo? (resultado por año)

data_comercio_exterior_agosto_2020 %>%
 group_by(sub_region="Centroamérica",anio=2019)%>%
mutate((valor_fob)/(valor_cif))

## # A tibble: 1,084,170 x 19
## # Groups:   sub_region, anio [1]
##    pais  sac    anio   mes valor_cif kilogramos_impo~ valor_fob kilogramos_expo~
##    <chr> <chr> <dbl> <dbl>     <dbl>            <dbl>     <dbl>            <dbl>
##  1 Afga~ 4010~  2019     4      58.1             0.92         0                0
##  2 Afga~ 6812~  2019     4      88.4             1.39         0                0
##  3 Afga~ 8487~  2019     4      20.9             0.33         0                0
##  4 Afga~ 8511~  2019     4      98.9             1.56         0                0
##  5 Afga~ 8708~  2019     4      62.2             0.98         0                0
##  6 Afga~ 9028~  2019     4     130.              2.05         0                0
##  7 Afga~ 6913~  2019    12     650.              5.49         0                0
##  8 Afga~ 7326~  2019    12       2               0.01         0                0
##  9 Afga~ 0806~  2019     6    6448.           1464.           0                0
## 10 Afga~ 6104~  2019    10    3153.           2408.           0                0
## # ... with 1,084,160 more rows, and 11 more variables: nom_pais_ingles <chr>,
## #   iso_2 <chr>, iso_3 <chr>, codigo_pais <dbl>, region <chr>,
## #   cod_region <dbl>, sub_region <chr>, cod_sub_region <dbl>,
## #   region_intermedia <chr>, cod_region_intermedia <dbl>,
## #   `(valor_fob)/(valor_cif)` <dbl>

#3. Obtenga el Saldo de la balanza comercial de El Salvador, con el “Caribe”, para el periodo 2017-2019, (en millones de US$)

data_comercio_exterior_agosto_2020 %>%
 group_by(sub_region="Caribe",anio) %>%
 mutate(saldo_bc=valor_fob/1e6-valor_cif/1e6)

## # A tibble: 1,084,170 x 19
## # Groups:   sub_region, anio [4]
##    pais  sac    anio   mes valor_cif kilogramos_impo~ valor_fob kilogramos_expo~
##    <chr> <chr> <dbl> <dbl>     <dbl>            <dbl>     <dbl>            <dbl>
##  1 Afga~ 4010~  2017     4      58.1             0.92         0                0
##  2 Afga~ 6812~  2017     4      88.4             1.39         0                0
##  3 Afga~ 8487~  2017     4      20.9             0.33         0                0
##  4 Afga~ 8511~  2017     4      98.9             1.56         0                0
##  5 Afga~ 8708~  2017     4      62.2             0.98         0                0
##  6 Afga~ 9028~  2017     4     130.              2.05         0                0
##  7 Afga~ 6913~  2017    12     650.              5.49         0                0
##  8 Afga~ 7326~  2017    12       2               0.01         0                0
##  9 Afga~ 0806~  2018     6    6448.           1464.           0                0
## 10 Afga~ 6104~  2018    10    3153.           2408.           0                0
## # ... with 1,084,160 more rows, and 11 more variables: nom_pais_ingles <chr>,
## #   iso_2 <chr>, iso_3 <chr>, codigo_pais <dbl>, region <chr>,
## #   cod_region <dbl>, sub_region <chr>, cod_sub_region <dbl>,
## #   region_intermedia <chr>, cod_region_intermedia <dbl>, saldo_bc <dbl>

#4. Calcule las exportaciones totales de El Salvador hacia la región Norte De Europa, para el periodo 2019-2020 son (en millones de US$)

  data_comercio_exterior_agosto_2020 %>%
  group_by(sub_region="Norte De Europa", anio) %>%
  summarise(`Total Exportaciones MM US$`=sum(valor_fob)/1e6)%>% 
  kable (digits = 2) %>% kable_styling()

## `summarise()` regrouping output by 'sub_region' (override with `.groups` argument)

sub_region	anio	Total Exportaciones MM US$
Norte De Europa	2017	5760.02
Norte De Europa	2018	5904.63
Norte De Europa	2019	5943.32
Norte De Europa	2020	8922.79

(CLAVE 03)

#1. Por cada dólar exportado a la región Suramericana, en el periodo 2018-2019, ¿Cuánto se importo? (resultado por año)

data_comercio_exterior_agosto_2020 %>%
 group_by(sub_region="Sudamerica",anio=2019)%>%
mutate((valor_fob)/(valor_cif))

## # A tibble: 1,084,170 x 19
## # Groups:   sub_region, anio [1]
##    pais  sac    anio   mes valor_cif kilogramos_impo~ valor_fob kilogramos_expo~
##    <chr> <chr> <dbl> <dbl>     <dbl>            <dbl>     <dbl>            <dbl>
##  1 Afga~ 4010~  2019     4      58.1             0.92         0                0
##  2 Afga~ 6812~  2019     4      88.4             1.39         0                0
##  3 Afga~ 8487~  2019     4      20.9             0.33         0                0
##  4 Afga~ 8511~  2019     4      98.9             1.56         0                0
##  5 Afga~ 8708~  2019     4      62.2             0.98         0                0
##  6 Afga~ 9028~  2019     4     130.              2.05         0                0
##  7 Afga~ 6913~  2019    12     650.              5.49         0                0
##  8 Afga~ 7326~  2019    12       2               0.01         0                0
##  9 Afga~ 0806~  2019     6    6448.           1464.           0                0
## 10 Afga~ 6104~  2019    10    3153.           2408.           0                0
## # ... with 1,084,160 more rows, and 11 more variables: nom_pais_ingles <chr>,
## #   iso_2 <chr>, iso_3 <chr>, codigo_pais <dbl>, region <chr>,
## #   cod_region <dbl>, sub_region <chr>, cod_sub_region <dbl>,
## #   region_intermedia <chr>, cod_region_intermedia <dbl>,
## #   `(valor_fob)/(valor_cif)` <dbl>

#2. Calcule el IHH de El Salvador, con México, Estados Unidos y Canadá, durante el periodo 2017-2020, normalizado

data.frame("años"=2017:2020, 
               "IHH_Mexico"=sapply(X=2017:2020,FUN = indicadores_IHH_Herfindahl_Hirschmann_anual,codigo_pais=484,normalizado=TRUE),
               "IHH_USA"=sapply(X=2017:2020,FUN = indicadores_IHH_Herfindahl_Hirschmann_anual,codigo_pais=840,normalizado=TRUE),
              "IHH_Canada"=sapply(X=2017:2020,FUN = indicadores_IHH_Herfindahl_Hirschmann_anual,codigo_pais=124,normalizado=TRUE)) %>%

 kable(caption = "IHH VERSION 2",
          digits=2,align= "l") %>% 
kable_styling(bootstrap_options = "striped",
   full_width= TRUE)

IHH VERSION 2

años	IHH_Mexico	IHH_USA	IHH_Canada
2017	0.02	0.01	0.12
2018	0.02	0.01	0.01
2019	0.01	0.01	0.12
2020	0.00	0.00	0.03

#3- Calcule las exportaciones totales de El Salvador hacia la región de África Oriental, para el periodo 2017-2020 son (en millones de US$)

  data_comercio_exterior_agosto_2020 %>%
  group_by(sub_region="África Oriental", anio) %>%
  summarise(`Total Exportaciones MM US$`=sum(valor_fob)/1e6) %>% 
  kable (digits = 2) %>% kable_styling()

## `summarise()` regrouping output by 'sub_region' (override with `.groups` argument)

sub_region	anio	Total Exportaciones MM US$
África Oriental	2017	5760.02
África Oriental	2018	5904.63
África Oriental	2019	5943.32
África Oriental	2020	8922.79

#4. Obtenga el Saldo de la balanza comercial de El Salvador, con Latinoamérica, para el periodo 2017-2019, (en millones de US$)

data_comercio_exterior_agosto_2020 %>%
  mutate(saldo_bc=valor_fob/1e6-valor_cif/1e6) %>% 
 group_by(sub_region="Latinoamérica",anio)

## # A tibble: 1,084,170 x 19
## # Groups:   sub_region, anio [4]
##    pais  sac    anio   mes valor_cif kilogramos_impo~ valor_fob kilogramos_expo~
##    <chr> <chr> <dbl> <dbl>     <dbl>            <dbl>     <dbl>            <dbl>
##  1 Afga~ 4010~  2017     4      58.1             0.92         0                0
##  2 Afga~ 6812~  2017     4      88.4             1.39         0                0
##  3 Afga~ 8487~  2017     4      20.9             0.33         0                0
##  4 Afga~ 8511~  2017     4      98.9             1.56         0                0
##  5 Afga~ 8708~  2017     4      62.2             0.98         0                0
##  6 Afga~ 9028~  2017     4     130.              2.05         0                0
##  7 Afga~ 6913~  2017    12     650.              5.49         0                0
##  8 Afga~ 7326~  2017    12       2               0.01         0                0
##  9 Afga~ 0806~  2018     6    6448.           1464.           0                0
## 10 Afga~ 6104~  2018    10    3153.           2408.           0                0
## # ... with 1,084,160 more rows, and 11 more variables: nom_pais_ingles <chr>,
## #   iso_2 <chr>, iso_3 <chr>, codigo_pais <dbl>, region <chr>,
## #   cod_region <dbl>, sub_region <chr>, cod_sub_region <dbl>,
## #   region_intermedia <chr>, cod_region_intermedia <dbl>, saldo_bc <dbl>

EJERCICIO 2

#Usando los datos de la Penn World Table, de la Universidad de Groningen.

#1. Construya una función que le permita elegir el país y filtrar para un periodo(inicio,final), muestre su uso filtrando los datos para El Salvador, en el periodo de 1950-2014.

library(pwt9)
library(dplyr)
library(kableExtra)
data("pwt9.0")
options(scipen = 999999)
#Función consulta pais, para un periodo especifico
funcion_consulta_pais<-function(iso_pais,anio_inicio,anio_final){
 enquo(iso_pais)->iso_pais
 pwt9.0 %>% filter(isocode==!!iso_pais,
 year>=anio_inicio,
 year<=anio_final)->df
 return(df)
}
# probando la función con El Salvador, codigo iso 3 "SLV",
# para el periodo 1990-2014
funcion_consulta_pais(iso_pais = "SLV",1990,2014) %>%
 kable(caption = "Probando Función consulta paises, SLV 1990-2014",
 digits = 1,align = "l") %>%
 kable_styling(bootstrap_options = "striped",
 full_width = TRUE)

Probando Función consulta paises, SLV 1990-2014

	country	isocode	year	currency	rgdpe	rgdpo	pop	emp	avh	hc	ccon	cda	cgdpe	cgdpo	ck	ctfp	cwtfp	rgdpna	rconna	rdana	rkna	rtfpna	rwtfpna	labsh	delta	xr	pl_con	pl_da	pl_gdpo	i_cig	i_xm	i_xr	i_outlier	cor_exp	statcap	csh_c	csh_i	csh_g	csh_x	csh_m	csh_r	pl_c	pl_i	pl_g	pl_x	pl_m	pl_k
SLV-1990	El Salvador	SLV	1990	US Dollar	5535.1	4805.5	5.3	1.7	NA	1.6	5606.0	6046.1	5366.2	4701.3	6861.5	NA	NA	23652.0	24139.1	26146.8	42318.5	NA	NA	NA	0.1	1	0.8	0.9	1.0	interpolated	benchmark	market	no	NA	NA	0.9	0.1	0.3	0.4	-0.7	0	1.0	1.5	0.4	0.5	0.5	1.5
SLV-1991	El Salvador	SLV	1991	US Dollar	5936.1	4939.2	5.3	1.7	NA	1.7	5953.3	6498.0	5734.9	4986.1	7202.9	NA	NA	24497.9	24876.0	27400.7	43371.3	NA	NA	NA	0.0	1	0.9	0.9	1.1	interpolated	benchmark	market	no	NA	NA	0.9	0.1	0.3	0.3	-0.6	0	1.0	1.5	0.4	0.5	0.5	1.5
SLV-1992	El Salvador	SLV	1992	US Dollar	6504.2	5411.8	5.4	1.8	NA	1.7	6571.2	7304.6	6278.4	5206.1	7687.2	NA	NA	26345.8	26750.5	30236.2	45022.5	NA	NA	NA	0.0	1	0.9	0.9	1.1	interpolated	benchmark	market	no	NA	NA	1.0	0.1	0.3	0.4	-0.8	0	1.0	1.5	0.4	0.5	0.5	1.6
SLV-1993	El Salvador	SLV	1993	US Dollar	7346.2	6345.9	5.5	1.9	NA	1.7	7273.7	8122.3	7078.1	6101.3	8461.3	NA	NA	28287.4	28806.2	32671.1	47214.1	NA	NA	NA	0.0	1	0.9	1.0	1.1	interpolated	benchmark	market	no	NA	NA	1.0	0.1	0.2	0.4	-0.8	0	1.0	1.5	0.4	0.5	0.5	1.6
SLV-1994	El Salvador	SLV	1994	US Dollar	8207.6	6780.7	5.5	2.0	NA	1.7	8116.9	9098.4	7895.2	6775.1	9419.2	NA	NA	29998.9	30968.7	35479.2	49824.1	NA	NA	NA	0.0	1	1.0	1.0	1.2	interpolated	benchmark	market	no	NA	NA	1.0	0.1	0.2	0.5	-0.8	0	1.1	1.6	0.5	0.5	0.5	1.6
SLV-1995	El Salvador	SLV	1995	US Dollar	9318.7	7888.3	5.6	2.0	NA	1.8	9281.1	10435.2	8986.6	7913.0	10640.5	NA	NA	31917.8	33815.8	39097.1	53000.3	NA	NA	NA	0.1	1	1.0	1.1	1.2	interpolated	benchmark	market	no	NA	NA	1.0	0.1	0.2	0.5	-0.8	0	1.1	1.6	0.5	0.5	0.6	1.6
SLV-1996	El Salvador	SLV	1996	US Dollar	9934.7	8648.7	5.6	2.0	NA	1.8	9901.1	10819.8	9587.3	8671.4	11636.6	NA	NA	32462.1	34372.5	38158.6	55270.5	NA	NA	NA	0.0	1	1.0	1.1	1.2	interpolated	benchmark	market	no	NA	NA	1.0	0.1	0.2	0.5	-0.7	0	1.1	1.7	0.6	0.5	0.6	1.6
SLV-1997	El Salvador	SLV	1997	US Dollar	10865.0	9510.3	5.7	2.0	NA	1.8	10656.5	11679.9	10460.3	9594.2	12896.6	NA	NA	33840.6	35405.3	39482.6	57859.7	NA	NA	NA	0.0	1	1.0	1.1	1.2	interpolated	benchmark	market	no	NA	NA	0.9	0.1	0.2	0.6	-0.8	0	1.1	1.6	0.6	0.5	0.5	1.5
SLV-1998	El Salvador	SLV	1998	US Dollar	11822.4	9966.7	5.7	2.1	NA	1.8	11420.5	12730.7	11336.9	10310.1	14480.6	NA	NA	35109.2	36252.9	41511.2	60866.6	NA	NA	NA	0.0	1	1.0	1.1	1.2	interpolated	benchmark	market	no	NA	NA	0.9	0.1	0.2	0.6	-0.8	0	1.1	1.6	0.6	0.5	0.5	1.4
SLV-1999	El Salvador	SLV	1999	US Dollar	12738.6	10614.2	5.8	2.1	NA	1.9	12412.8	13745.8	12235.4	11020.9	16210.3	NA	NA	36320.1	37471.4	42427.1	63673.3	NA	NA	NA	0.0	1	1.0	1.0	1.1	interpolated	benchmark	market	no	NA	66.7	0.9	0.1	0.2	0.6	-0.8	0	1.0	1.5	0.6	0.5	0.5	1.4
SLV-2000	El Salvador	SLV	2000	US Dollar	13578.5	11809.7	5.8	2.2	NA	1.9	13529.3	15016.8	13054.3	11989.0	18214.9	NA	NA	37102.0	38822.0	43901.1	66648.9	NA	NA	NA	0.0	1	1.0	1.0	1.1	interpolated	benchmark	market	no	NA	NA	0.9	0.1	0.2	0.7	-0.9	0	1.0	1.5	0.6	0.5	0.5	1.3
SLV-2001	El Salvador	SLV	2001	US Dollar	14789.4	12413.9	5.8	2.2	NA	1.9	14839.5	16534.2	14277.9	12443.0	20437.5	NA	NA	37736.0	40093.4	45452.2	69572.9	NA	NA	NA	0.0	1	0.9	1.0	1.1	interpolated	benchmark	market	no	NA	NA	1.0	0.1	0.2	0.6	-1.0	0	1.0	1.4	0.6	0.4	0.5	1.2
SLV-2002	El Salvador	SLV	2002	US Dollar	16034.2	13837.7	5.9	2.2	NA	1.9	15961.1	17768.1	15489.5	13999.2	22973.8	NA	NA	38619.3	40673.9	45837.0	72607.6	NA	NA	NA	0.0	1	0.9	0.9	1.0	interpolated	benchmark	market	no	NA	NA	1.0	0.1	0.2	0.6	-0.9	0	0.9	1.3	0.6	0.5	0.5	1.2
SLV-2003	El Salvador	SLV	2003	US Dollar	17350.3	15385.3	5.9	2.2	NA	1.9	17365.4	19451.2	16781.8	15672.6	26116.7	NA	NA	39507.7	41409.5	47055.9	75721.6	NA	NA	NA	0.0	1	0.9	0.9	1.0	interpolated	benchmark	market	no	NA	NA	0.9	0.1	0.2	0.5	-0.8	0	0.9	1.2	0.6	0.5	0.5	1.1
SLV-2004	El Salvador	SLV	2004	US Dollar	18765.1	16650.4	5.9	2.2	NA	1.9	19149.9	21319.1	18169.0	16952.9	30179.8	NA	NA	40238.8	42535.2	47876.0	78393.3	NA	NA	NA	0.0	1	0.8	0.9	0.9	interpolated	benchmark	market	no	NA	68.3	1.0	0.1	0.2	0.5	-0.7	0	0.9	1.2	0.5	0.5	0.6	1.0
SLV-2005	El Salvador	SLV	2005	US Dollar	20962.3	19788.2	5.9	2.2	NA	1.9	22115.6	24575.9	20735.3	19766.1	35501.4	NA	NA	41672.3	44661.0	50177.7	81070.2	NA	NA	NA	0.0	1	0.8	0.8	0.9	interpolated	benchmark	market	no	NA	71.7	1.0	0.1	0.2	0.4	-0.7	0	0.8	1.1	0.5	0.5	0.6	0.9
SLV-2006	El Salvador	SLV	2006	US Dollar	23670.1	22070.8	6.0	2.3	NA	2.0	25040.7	28038.2	23271.1	22347.1	42250.0	NA	NA	43302.6	46758.6	53000.1	84467.6	NA	NA	NA	0.0	1	0.8	0.8	0.8	interpolated	benchmark	market	no	NA	71.7	1.0	0.1	0.1	0.4	-0.6	0	0.8	1.0	0.5	0.6	0.6	0.8
SLV-2007	El Salvador	SLV	2007	US Dollar	26954.1	25463.7	6.0	2.4	NA	2.0	29046.2	32438.3	26499.2	25836.9	49601.4	NA	NA	44965.5	49451.0	55837.3	88289.6	NA	NA	NA	0.0	1	0.7	0.8	0.8	interpolated	benchmark	market	no	NA	73.3	1.0	0.1	0.1	0.3	-0.6	0	0.8	1.0	0.5	0.6	0.6	0.7
SLV-2008	El Salvador	SLV	2008	US Dollar	30053.3	28863.7	6.0	2.4	NA	2.0	33050.3	36672.1	29859.2	28644.2	57652.1	NA	NA	45538.1	50258.5	56225.4	91446.3	NA	NA	NA	0.0	1	0.7	0.7	0.7	interpolated	benchmark	market	no	NA	83.3	1.0	0.1	0.1	0.3	-0.6	0	0.7	0.9	0.5	0.7	0.7	0.7
SLV-2009	El Salvador	SLV	2009	US Dollar	32585.9	31136.0	6.0	2.4	NA	2.0	33882.8	37215.6	32227.4	31383.5	66042.6	NA	NA	44111.4	45806.5	50506.8	92998.6	NA	NA	NA	0.0	1	0.6	0.6	0.7	interpolated	benchmark	market	no	NA	83.3	0.9	0.1	0.1	0.2	-0.4	0	0.6	0.8	0.5	0.7	0.6	0.7
SLV-2010	El Salvador	SLV	2010	US Dollar	37684.8	37108.7	6.0	2.4	NA	2.0	39829.3	43812.2	37471.9	37264.9	77955.6	NA	NA	44713.6	46830.7	51644.9	94734.9	NA	NA	NA	0.0	1	0.6	0.6	0.6	interpolated	benchmark	market	no	NA	90.0	0.9	0.1	0.1	0.2	-0.4	0	0.6	0.7	0.5	0.7	0.6	0.6
SLV-2011	El Salvador	SLV	2011	US Dollar	45166.8	45704.8	6.1	2.4	NA	2.0	48017.3	53605.3	45166.8	45704.8	97264.7	NA	NA	45704.8	48017.3	53605.3	97264.7	NA	NA	NA	0.0	1	0.5	0.5	0.5	benchmark	benchmark	market	no	0.6	85.6	0.9	0.1	0.1	0.2	-0.4	0	0.5	0.6	0.5	0.7	0.6	0.5
SLV-2012	El Salvador	SLV	2012	US Dollar	46164.4	47179.4	6.1	2.5	NA	2.1	49225.0	54663.9	46147.6	46956.7	99345.6	NA	NA	46564.6	49170.9	54642.7	99598.2	NA	NA	NA	0.0	1	0.5	0.5	0.5	extrapolated	benchmark	market	no	NA	91.0	0.9	0.1	0.1	0.2	-0.4	0	0.5	0.6	0.5	0.7	0.6	0.5
SLV-2013	El Salvador	SLV	2013	US Dollar	46742.5	47393.0	6.1	2.6	NA	2.1	49761.2	55572.1	46618.4	47147.3	103172.3	NA	NA	47424.4	49694.7	55754.1	102483.9	NA	NA	NA	0.0	1	0.5	0.5	0.5	extrapolated	benchmark	market	no	NA	91.1	0.9	0.1	0.1	0.2	-0.4	0	0.5	0.6	0.5	0.7	0.6	0.5
SLV-2014	El Salvador	SLV	2014	US Dollar	47903.3	48970.3	6.1	2.6	NA	2.1	50944.9	56342.7	47846.7	48643.6	107174.8	NA	NA	48350.4	50767.7	56361.1	104730.7	NA	NA	NA	0.0	1	0.5	0.5	0.5	extrapolated	benchmark	market	no	NA	91.1	0.9	0.1	0.1	0.2	-0.3	0	0.5	0.6	0.6	0.7	0.6	0.5

#2. Construya una función que le permita elegir todas las variables de la categoria “Trade detail”, muestre su uso para los datos de Argentina

data("pwt9.0")
options(scipen = 999999)
#Función Trade_details
funcion_Trade_detail<-function(iso_pais,anio){
 enquo(iso_pais)->iso_pais
 pwt9.0 %>% filter(isocode==!!iso_pais)
}
# probando la función con Argentina, codigo iso 3 "ARG",
# para el periodo 1990-2014
funcion_Trade_detail(iso_pais = "ARG") %>%
 kable(caption = "Probando Función consulta paises, ARG",
 digits = 1,align = "l") %>%
 kable_styling(bootstrap_options = "striped",
 full_width = TRUE)

Probando Función consulta paises, ARG

	country	isocode	year	currency	rgdpe	rgdpo	pop	emp	avh	hc	ccon	cda	cgdpe	cgdpo	ck	ctfp	cwtfp	rgdpna	rconna	rdana	rkna	rtfpna	rwtfpna	labsh	delta	xr	pl_con	pl_da	pl_gdpo	i_cig	i_xm	i_xr	i_outlier	cor_exp	statcap	csh_c	csh_i	csh_g	csh_x	csh_m	csh_r	pl_c	pl_i	pl_g	pl_x	pl_m	pl_k
ARG-1950	Argentina	ARG	1950	Argentine Peso	49589.3	48987.6	17.2	6.5	2034.0	1.8	44196.5	48665.1	49566.1	50750.0	57509.3	0.7	0.7	153269.5	115974.9	128281.0	272087.3	0.9	0.8	0.5	0.0	0.0	0.2	0.2	0.2	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	-0.1	0	0.2	0.5	0.3	0.1	0.1	0.5
ARG-1951	Argentina	ARG	1951	Argentine Peso	51958.6	50321.7	17.5	6.7	2037.9	1.8	45191.0	51980.8	51969.6	52103.1	61940.0	0.7	0.7	162321.9	118898.0	140619.7	286250.3	0.9	0.8	0.5	0.0	0.0	0.2	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	-0.1	0	0.2	0.4	0.3	0.2	0.1	0.5
ARG-1952	Argentina	ARG	1952	Argentine Peso	47026.3	45890.6	17.9	6.8	2041.7	1.8	42259.5	48331.0	46903.5	47361.8	65282.9	0.6	0.6	152653.7	112429.3	130408.9	294574.8	0.8	0.7	0.5	0.0	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	-0.1	0	0.3	0.4	0.3	0.1	0.1	0.5
ARG-1953	Argentina	ARG	1953	Argentine Peso	48872.8	48772.7	18.2	6.9	2045.6	1.9	42266.4	48688.5	48805.4	50376.1	67051.5	0.6	0.6	159095.5	111989.7	131589.7	303104.2	0.9	0.7	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	0.0	0	0.3	0.4	0.3	0.1	0.1	0.5
ARG-1954	Argentina	ARG	1954	Argentine Peso	51117.5	51031.8	18.6	7.0	2049.5	1.9	45468.2	51605.5	50934.8	52582.3	67107.3	0.6	0.6	164275.7	120515.2	138876.4	309455.2	0.9	0.7	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	0.0	0	0.3	0.4	0.4	0.1	0.1	0.5
ARG-1955	Argentina	ARG	1955	Argentine Peso	55854.7	54874.7	18.9	7.1	2053.4	1.9	49907.4	56732.2	55388.4	56293.7	68349.9	0.6	0.6	175750.1	132510.3	153271.2	317486.1	0.9	0.8	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	-0.1	0	0.3	0.4	0.4	0.1	0.1	0.5
ARG-1956	Argentina	ARG	1956	Argentine Peso	57230.1	56284.2	19.3	7.2	2057.3	1.9	49249.9	55738.0	56411.9	57359.5	71089.7	0.6	0.6	180385.1	132301.5	151415.4	322676.3	0.9	0.8	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	0.0	0	0.3	0.4	0.3	0.2	0.2	0.5
ARG-1957	Argentina	ARG	1957	Argentine Peso	59882.9	59188.2	19.6	7.3	2061.2	1.9	51866.7	59086.1	58894.8	60120.8	73226.9	0.6	0.6	187317.2	139720.6	161017.7	329198.7	0.9	0.8	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	0.0	0	0.3	0.4	0.3	0.2	0.2	0.5
ARG-1958	Argentina	ARG	1958	Argentine Peso	64495.2	63697.4	20.0	7.4	2065.1	1.9	55623.1	63523.8	63422.4	64705.1	73912.4	0.7	0.6	199688.6	149917.9	173101.9	336580.3	1.0	0.8	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	0.0	0	0.3	0.5	0.4	0.2	0.2	0.6
ARG-1959	Argentina	ARG	1959	Argentine Peso	61158.3	60043.2	20.3	7.5	2069.1	1.9	51187.8	58398.2	59814.2	60700.8	74841.0	0.6	0.6	190017.8	139109.5	160115.6	339898.6	0.9	0.8	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	0.0	0	0.3	0.4	0.3	0.2	0.3	0.5
ARG-1960	Argentina	ARG	1960	Argentine Peso	66006.8	64673.6	20.6	7.6	2073.0	2.0	53459.5	63818.4	65066.6	65393.7	74654.3	0.6	0.6	210664.0	143514.2	176761.8	354264.6	1.0	0.8	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.7	0.2	0.1	0.1	-0.1	0	0.3	0.4	0.3	0.2	0.2	0.5
ARG-1961	Argentina	ARG	1961	Argentine Peso	69125.4	66844.8	21.0	7.7	2066.2	2.0	57061.0	67936.3	68343.9	67767.3	78036.5	0.6	0.6	217519.1	151319.2	188086.5	369549.6	1.0	0.8	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.2	0.1	0.1	-0.1	0	0.3	0.5	0.3	0.2	0.2	0.6
ARG-1962	Argentina	ARG	1962	Argentine Peso	65920.7	67655.3	21.3	7.8	2059.4	2.0	57727.4	67450.8	65139.3	68757.9	79482.5	0.6	0.6	218910.8	152628.1	185561.9	379242.4	1.0	0.8	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	-0.1	0	0.3	0.4	0.4	0.1	0.3	0.5
ARG-1963	Argentina	ARG	1963	Argentine Peso	65368.5	65443.9	21.6	7.9	2052.7	2.0	55734.7	63794.2	64344.5	66485.7	78638.9	0.6	0.6	210872.3	148284.5	175084.6	381803.7	0.9	0.8	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	0.0	0	0.3	0.4	0.4	0.2	0.3	0.5
ARG-1964	Argentina	ARG	1964	Argentine Peso	69836.6	68879.1	22.0	8.0	2045.9	2.0	59449.8	69856.5	68476.3	69701.4	79273.6	0.6	0.6	227261.8	159055.4	193930.9	393367.9	1.0	0.8	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	-0.1	0	0.3	0.4	0.3	0.2	0.2	0.6
ARG-1965	Argentina	ARG	1965	Argentine Peso	80459.2	77556.7	22.3	8.1	2039.2	2.0	67332.0	78074.0	78841.7	78394.8	81756.4	0.6	0.6	248167.5	180165.5	215880.3	406033.3	1.0	0.9	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	-0.1	0	0.3	0.5	0.3	0.2	0.2	0.6
ARG-1966	Argentina	ARG	1966	Argentine Peso	80040.9	79047.1	22.6	8.2	2032.5	2.0	66558.8	76863.5	78401.1	79967.9	84346.8	0.6	0.6	248753.2	178110.3	212325.1	418126.2	1.0	0.9	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	0.0	0	0.3	0.5	0.4	0.2	0.2	0.6
ARG-1967	Argentina	ARG	1967	Argentine Peso	83599.0	81800.0	22.9	8.3	2025.9	2.0	69076.4	79657.5	82110.7	82972.8	87191.4	0.6	0.6	255686.6	183755.1	219318.4	432138.7	1.0	0.9	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	market	no	NA	NA	0.8	0.1	0.1	0.1	0.0	0	0.3	0.5	0.4	0.2	0.3	0.6
ARG-1968	Argentina	ARG	1968	Argentine Peso	86008.8	84209.7	23.3	8.4	2019.2	2.0	72181.6	83623.9	84618.2	85573.6	90599.0	0.6	0.6	268893.9	191721.5	230735.3	450391.6	1.0	0.9	0.5	0.1	0.0	0.3	0.4	0.4	extrapolated	extrapolated	market	no	NA	NA	0.8	0.1	0.1	0.1	0.0	0	0.3	0.5	0.4	0.3	0.3	0.7
ARG-1969	Argentina	ARG	1969	Argentine Peso	93610.0	92424.1	23.6	8.5	2012.6	2.1	76901.0	91107.1	91819.2	93621.6	97227.8	0.7	0.6	293540.4	205037.3	254015.0	478651.3	1.1	0.9	0.5	0.1	0.0	0.4	0.4	0.4	extrapolated	extrapolated	market	no	NA	NA	0.8	0.2	0.1	0.1	0.0	0	0.4	0.6	0.5	0.2	0.3	0.7
ARG-1970	Argentina	ARG	1970	Argentine Peso	95479.4	95035.7	24.0	8.6	2006.0	2.1	77854.9	92530.3	93436.2	96162.2	103105.8	0.7	0.6	302924.0	208462.7	258571.5	507496.5	1.1	0.9	0.5	0.1	0.0	0.4	0.4	0.4	extrapolated	extrapolated	market	no	NA	NA	0.7	0.2	0.1	0.1	-0.1	0	0.4	0.6	0.5	0.2	0.3	0.7
ARG-1971	Argentina	ARG	1971	Argentine Peso	99901.8	98051.9	24.4	8.6	2002.7	2.1	80738.4	97204.3	97439.5	98853.5	110420.7	0.6	0.6	314320.1	217571.8	273586.4	540189.1	1.1	0.9	0.5	0.1	0.0	0.4	0.5	0.5	extrapolated	extrapolated	market	no	NA	NA	0.7	0.2	0.1	0.1	-0.1	0	0.4	0.6	0.5	0.3	0.3	0.8
ARG-1972	Argentina	ARG	1972	Argentine Peso	102289.2	99798.4	24.8	8.7	1999.3	2.1	81579.8	98280.0	99306.8	100243.7	117993.6	0.6	0.6	320848.5	221061.9	277641.5	572814.4	1.1	0.9	0.5	0.1	0.0	0.4	0.4	0.4	extrapolated	extrapolated	estimated	no	NA	NA	0.7	0.2	0.1	0.0	0.0	0	0.4	0.6	0.5	0.3	0.4	0.7
ARG-1973	Argentina	ARG	1973	Argentine Peso	108064.7	105425.3	25.2	8.8	1996.0	2.1	84356.8	100455.2	104255.3	105296.7	125268.2	0.6	0.6	332866.0	231009.9	284380.6	599764.5	1.1	0.9	0.5	0.1	0.0	0.4	0.4	0.4	extrapolated	extrapolated	estimated	no	NA	NA	0.7	0.2	0.1	0.0	0.0	0	0.4	0.6	0.6	0.3	0.3	0.7
ARG-1974	Argentina	ARG	1974	Argentine Peso	113038.7	110358.5	25.6	9.1	1992.8	2.2	90250.8	107093.7	109558.2	110699.1	134567.6	0.6	0.6	350859.5	247436.8	300945.7	628631.4	1.1	0.9	0.5	0.0	0.0	0.5	0.5	0.5	extrapolated	extrapolated	estimated	no	NA	NA	0.7	0.2	0.1	0.0	0.0	0	0.4	0.6	0.7	0.3	0.3	0.8
ARG-1975	Argentina	ARG	1975	Argentine Peso	111643.7	108928.8	26.1	9.2	1989.7	2.2	90029.8	107580.9	108409.9	109256.1	142748.5	0.6	0.6	348777.8	247385.2	302213.7	657108.1	1.0	0.9	0.5	0.0	0.0	0.5	0.5	0.5	extrapolated	extrapolated	estimated	no	NA	NA	0.7	0.2	0.1	0.1	-0.1	0	0.4	0.9	0.8	0.3	0.3	1.1
ARG-1976	Argentina	ARG	1976	Argentine Peso	110320.3	108897.0	26.5	9.2	1986.5	2.2	83006.1	101598.3	106698.6	108981.9	149980.6	0.6	0.6	348736.3	230064.9	292520.4	691774.1	1.0	0.9	0.5	0.0	0.0	0.5	0.6	0.6	extrapolated	extrapolated	estimated	no	NA	NA	0.7	0.2	0.1	0.1	0.0	0	0.5	0.9	0.6	0.3	0.4	1.1
ARG-1977	Argentina	ARG	1977	Argentine Peso	114844.1	116226.1	26.9	9.4	1983.4	2.2	85170.3	107336.4	111169.0	116397.4	163067.0	0.6	0.6	371007.2	235079.5	314150.1	739455.6	1.0	0.9	0.5	0.0	0.0	0.5	0.6	0.6	extrapolated	extrapolated	estimated	no	NA	NA	0.7	0.2	0.1	0.1	-0.1	0	0.5	0.9	0.6	0.3	0.5	1.0
ARG-1978	Argentina	ARG	1978	Argentine Peso	111297.9	114318.6	27.3	9.5	1980.3	2.2	83845.4	102467.5	107594.8	113910.1	174031.4	0.6	0.5	359051.8	232018.2	296558.5	775191.0	1.0	0.8	0.5	0.0	0.0	0.6	0.7	0.6	extrapolated	extrapolated	estimated	no	NA	NA	0.7	0.2	0.1	0.1	-0.1	0	0.6	0.9	0.8	0.3	0.4	1.1
ARG-1979	Argentina	ARG	1979	Argentine Peso	121546.7	121946.6	27.7	9.6	1977.1	2.2	95949.9	116240.3	117546.7	121829.0	186264.8	0.6	0.6	384246.9	264066.5	334843.6	814771.1	1.0	0.9	0.5	0.0	0.0	0.6	0.7	0.7	extrapolated	extrapolated	estimated	no	NA	NA	0.7	0.2	0.1	0.1	-0.1	0	0.6	0.9	0.8	0.2	0.3	1.1
ARG-1980	Argentina	ARG	1980	Argentine Peso	128656.7	123486.8	28.1	9.6	1974.0	2.3	104426.3	126584.2	125302.8	123801.3	198601.1	0.6	0.6	389832.8	284214.9	361596.2	857415.8	1.0	0.9	0.5	0.0	0.0	0.7	0.7	0.7	benchmark	extrapolated	estimated	no	0.6	NA	0.8	0.2	0.1	0.1	-0.1	0	0.6	1.0	1.0	0.2	0.2	1.1
ARG-1981	Argentina	ARG	1981	Argentine Peso	127595.1	124252.8	28.5	9.7	1961.2	2.3	104824.0	124706.2	124441.9	124345.6	218197.2	0.6	0.6	368715.7	274387.7	339306.5	886926.0	0.9	0.8	0.5	0.0	0.0	0.7	0.8	0.8	interpolated	extrapolated	estimated	no	NA	NA	0.8	0.2	0.1	0.1	-0.1	0	0.7	1.0	1.0	0.3	0.3	1.1
ARG-1982	Argentina	ARG	1982	Argentine Peso	127662.0	129667.3	29.0	9.8	1948.5	2.3	104490.6	121499.9	124978.2	130091.6	235138.4	0.6	0.6	357059.7	262300.8	312416.3	902944.6	0.9	0.8	0.5	0.0	0.0	0.7	0.8	0.7	interpolated	extrapolated	estimated	no	NA	NA	0.7	0.1	0.1	0.1	-0.1	0	0.7	1.2	1.0	0.4	0.5	1.3
ARG-1983	Argentina	ARG	1983	Argentine Peso	139502.8	140620.1	29.5	10.1	1935.9	2.4	114022.0	131910.1	136673.3	141326.8	247653.3	0.6	0.6	371743.2	273958.6	323634.2	919660.5	0.9	0.8	0.5	0.0	0.0	0.7	0.8	0.7	interpolated	extrapolated	estimated	no	NA	NA	0.7	0.1	0.1	0.1	-0.1	0	0.7	1.1	1.0	0.4	0.5	1.3
ARG-1984	Argentina	ARG	1984	Argentine Peso	148994.6	149928.6	29.9	10.3	1923.4	2.4	123364.9	141340.8	145588.0	150490.9	262313.6	0.6	0.6	379198.5	284824.7	331102.0	933932.4	0.9	0.8	0.5	0.0	0.0	0.7	0.8	0.7	interpolated	benchmark	estimated	no	NA	NA	0.7	0.1	0.1	0.1	-0.1	0	0.7	1.1	1.0	0.4	0.4	1.3
ARG-1985	Argentina	ARG	1985	Argentine Peso	142946.0	146209.6	30.4	10.4	1911.0	2.4	116254.7	132663.4	140244.7	147517.9	279101.9	0.6	0.5	352821.2	257039.5	296118.9	940615.9	0.8	0.7	0.5	0.0	0.0	0.7	0.8	0.7	interpolated	benchmark	market	no	NA	NA	0.7	0.1	0.1	0.2	-0.1	0	0.7	1.1	0.9	0.4	0.4	1.2
ARG-1986	Argentina	ARG	1986	Argentine Peso	162835.4	163147.7	30.9	10.7	1898.6	2.4	137733.1	157113.8	159860.3	163067.0	305964.5	0.6	0.5	378025.4	287773.1	331053.1	952417.2	0.8	0.7	0.5	0.0	0.0	0.8	0.8	0.8	interpolated	benchmark	market	no	NA	NA	0.8	0.1	0.1	0.1	-0.1	0	0.7	1.1	1.0	0.4	0.5	1.2
ARG-1987	Argentina	ARG	1987	Argentine Peso	175065.1	173890.6	31.3	11.0	1886.3	2.5	147631.4	171153.1	171691.0	173066.6	336762.6	0.6	0.6	387599.9	293595.3	343823.7	970684.1	0.8	0.8	0.5	0.0	0.0	0.7	0.8	0.8	interpolated	benchmark	market	no	NA	NA	0.8	0.1	0.1	0.1	-0.1	0	0.7	1.0	0.9	0.5	0.5	1.1
ARG-1988	Argentina	ARG	1988	Argentine Peso	183604.2	184885.2	31.8	11.2	1874.1	2.5	149780.1	174252.6	180219.2	184254.7	370912.8	0.6	0.5	380031.1	281965.1	330467.9	986288.9	0.8	0.7	0.5	0.0	0.0	0.8	0.8	0.8	interpolated	benchmark	market	no	NA	NA	0.7	0.1	0.1	0.1	-0.1	0	0.8	1.1	1.0	0.5	0.5	1.2
ARG-1989	Argentina	ARG	1989	Argentine Peso	180500.6	178384.1	32.3	11.3	1862.0	2.5	145769.0	166338.5	177484.6	178125.2	403987.6	0.5	0.5	353388.8	259243.5	295830.2	990143.5	0.8	0.6	0.5	0.0	0.0	0.5	0.5	0.5	interpolated	benchmark	market	no	NA	NA	0.7	0.1	0.1	0.1	0.0	0	0.5	0.6	0.5	0.5	0.5	0.7
ARG-1990	Argentina	ARG	1990	Argentine Peso	194594.7	199708.3	32.7	11.6	1850.0	2.5	165232.2	183638.2	194129.8	201766.7	440458.2	0.6	0.5	348658.3	263743.4	293106.9	987685.9	0.7	0.6	0.5	0.0	0.5	0.8	0.9	0.8	interpolated	benchmark	market	no	NA	NA	0.8	0.1	0.1	0.1	0.0	0	0.8	1.2	1.5	0.5	0.5	1.3
ARG-1991	Argentina	ARG	1991	Argentine Peso	233984.2	235515.3	33.2	12.0	1838.0	2.6	202561.8	229998.1	232933.2	235912.8	489520.9	0.6	0.6	385253.6	300751.1	340948.6	997420.9	0.8	0.7	0.5	0.0	1.0	1.0	1.0	1.0	interpolated	benchmark	market	no	NA	NA	0.8	0.1	0.1	0.1	-0.1	0	0.9	1.1	1.9	0.6	0.6	1.2
ARG-1992	Argentina	ARG	1992	Argentine Peso	281707.6	277855.8	33.7	12.1	1826.0	2.6	243088.8	284944.9	280012.8	279556.9	559911.3	0.7	0.7	424952.1	341605.1	396540.5	1022459.0	0.9	0.8	0.5	0.0	1.0	1.0	1.0	1.0	interpolated	benchmark	market	no	NA	NA	0.8	0.1	0.1	0.1	-0.1	0	0.9	1.0	1.5	0.5	0.5	1.1
ARG-1993	Argentina	ARG	1993	Argentine Peso	325385.7	320473.9	34.1	12.1	1850.3	2.6	274640.2	331114.1	323284.4	320980.2	669640.2	0.7	0.7	451518.8	360504.0	425050.5	1061497.9	0.9	0.8	0.5	0.0	1.0	0.9	0.9	0.9	interpolated	benchmark	market	no	NA	NA	0.8	0.2	0.1	0.1	-0.1	0	0.8	0.9	1.2	0.5	0.5	1.0
ARG-1994	Argentina	ARG	1994	Argentine Peso	379470.2	372903.0	34.6	12.1	1875.0	2.6	315779.1	389269.5	375305.3	372981.6	828229.2	0.7	0.8	477870.5	379528.1	453621.2	1104743.8	0.9	0.9	0.5	0.0	1.0	0.8	0.8	0.8	interpolated	benchmark	market	no	NA	NA	0.7	0.2	0.1	0.1	-0.1	0	0.8	0.8	1.0	0.5	0.6	0.8
ARG-1995	Argentina	ARG	1995	Argentine Peso	419159.1	416118.8	35.0	11.5	1897.2	2.6	340894.6	417030.6	414738.3	416185.7	1053556.9	0.8	0.8	464273.8	365529.7	429158.4	1134617.5	0.9	0.8	0.5	0.0	1.0	0.8	0.7	0.7	interpolated	benchmark	market	no	NA	NA	0.7	0.2	0.1	0.1	-0.1	0	0.8	0.7	0.7	0.6	0.6	0.7
ARG-1996	Argentina	ARG	1996	Argentine Peso	537693.3	532989.8	35.4	11.8	1846.1	2.6	426053.2	529961.0	530439.6	530883.3	1390282.6	0.9	0.8	489932.7	384072.7	453648.0	1170010.4	0.9	0.9	0.4	0.0	1.0	0.6	0.6	0.6	benchmark	benchmark	market	no	0.5	NA	0.6	0.2	0.2	0.1	-0.1	0	0.7	0.5	0.4	0.6	0.6	0.5
ARG-1997	Argentina	ARG	1997	Argentine Peso	560207.2	553420.7	35.8	12.4	1917.3	2.6	442205.6	560620.8	551904.4	551406.4	1400468.8	0.8	0.8	529671.4	415632.5	498146.2	1217761.8	0.9	0.9	0.4	0.0	1.0	0.7	0.6	0.6	interpolated	benchmark	market	no	NA	NA	0.6	0.2	0.2	0.1	-0.1	0	0.7	0.5	0.4	0.6	0.6	0.6
ARG-1998	Argentina	ARG	1998	Argentine Peso	564924.8	554934.2	36.2	12.9	1903.0	2.6	444545.0	566039.8	553853.5	553125.9	1424251.4	0.8	0.8	550064.8	430012.9	518130.7	1269080.9	0.9	0.9	0.4	0.0	1.0	0.7	0.6	0.6	interpolated	benchmark	market	no	NA	NA	0.7	0.2	0.1	0.1	-0.1	0	0.7	0.6	0.5	0.5	0.5	0.6
ARG-1999	Argentina	ARG	1999	Argentine Peso	530878.6	523007.4	36.6	13.0	1893.2	2.6	430989.8	534649.2	521036.1	522478.2	1433022.8	0.7	0.7	531442.6	424051.4	500324.4	1305226.8	0.9	0.8	0.5	0.0	1.0	0.7	0.7	0.6	interpolated	benchmark	market	no	NA	68.3	0.7	0.2	0.1	0.1	-0.1	0	0.7	0.6	0.6	0.5	0.5	0.6
ARG-2000	Argentina	ARG	2000	Argentine Peso	525824.8	520440.7	37.1	13.1	1861.0	2.7	421606.6	517902.7	517365.1	520203.2	1431154.5	0.7	0.7	527249.5	421988.0	492747.2	1334261.5	0.9	0.8	0.5	0.0	1.0	0.7	0.7	0.7	interpolated	benchmark	market	no	NA	NA	0.7	0.2	0.1	0.1	-0.1	0	0.7	0.5	0.6	0.5	0.5	0.6
ARG-2001	Argentina	ARG	2001	Argentine Peso	491117.4	489405.2	37.5	13.0	1803.4	2.7	395487.1	475983.8	485221.2	490409.9	1412692.1	0.7	0.7	504004.0	399949.9	459249.2	1350421.0	0.8	0.8	0.5	0.0	1.0	0.7	0.7	0.7	interpolated	benchmark	market	no	NA	NA	0.7	0.2	0.1	0.1	-0.1	0	0.7	0.5	0.7	0.5	0.5	0.6
ARG-2002	Argentina	ARG	2002	Argentine Peso	453929.7	421078.2	37.9	13.0	1610.6	2.7	339499.8	390483.7	449011.2	422775.6	1330856.4	0.7	0.6	449095.3	347634.6	382853.2	1340429.5	0.8	0.7	0.4	0.0	3.1	0.3	0.3	0.3	interpolated	benchmark	market	no	NA	NA	0.7	0.1	0.1	0.1	0.0	0	0.3	0.3	0.3	0.5	0.5	0.3
ARG-2003	Argentina	ARG	2003	Argentine Peso	479253.2	456466.5	38.3	13.7	1719.4	2.7	361385.0	429605.3	474079.8	454726.8	1326432.2	0.7	0.6	488782.1	372779.6	425665.2	1349205.2	0.8	0.7	0.4	0.0	2.9	0.3	0.3	0.3	interpolated	benchmark	market	no	NA	NA	0.7	0.2	0.1	0.1	-0.1	0	0.3	0.3	0.3	0.5	0.5	0.3
ARG-2004	Argentina	ARG	2004	Argentine Peso	517308.9	499958.9	38.7	14.7	1739.7	2.8	390279.6	479519.8	511582.5	497031.0	1365802.9	0.7	0.6	532917.0	404827.9	479736.5	1379962.0	0.8	0.8	0.4	0.0	2.9	0.4	0.4	0.4	interpolated	benchmark	market	no	NA	88.9	0.7	0.2	0.1	0.1	-0.1	0	0.4	0.4	0.4	0.6	0.5	0.4
ARG-2005	Argentina	ARG	2005	Argentine Peso	556650.4	546220.4	39.1	15.3	1755.3	2.8	432727.4	529555.2	558362.4	547243.8	1437139.1	0.7	0.7	582085.6	442472.7	526088.4	1427637.1	0.9	0.8	0.4	0.0	2.9	0.4	0.4	0.4	benchmark	benchmark	market	no	0.8	86.1	0.7	0.2	0.1	0.1	-0.1	0	0.4	0.4	0.5	0.6	0.6	0.4
ARG-2006	Argentina	ARG	2006	Argentine Peso	606310.6	593656.0	39.6	15.9	1809.4	2.8	463070.0	575257.7	604193.3	593230.8	1552985.1	0.7	0.7	630836.7	475221.1	576239.4	1490019.6	0.9	0.8	0.4	0.0	3.1	0.4	0.4	0.4	extrapolated	benchmark	market	no	NA	87.2	0.7	0.2	0.1	0.1	-0.1	0	0.4	0.5	0.5	0.6	0.6	0.4
ARG-2007	Argentina	ARG	2007	Argentine Peso	660317.9	649728.0	40.0	16.4	1816.9	2.8	505824.1	632473.4	656393.2	646576.2	1646294.5	0.8	0.7	681086.5	517800.3	636017.3	1563072.4	0.9	0.9	0.4	0.0	3.1	0.5	0.5	0.5	extrapolated	benchmark	market	no	NA	83.9	0.7	0.2	0.1	0.1	-0.1	0	0.5	0.6	0.6	0.7	0.6	0.5
ARG-2008	Argentina	ARG	2008	Argentine Peso	693144.8	685144.1	40.4	16.8	1835.9	2.8	537597.8	671160.9	693260.2	683466.8	1719041.9	0.8	0.7	702029.5	544240.5	670767.2	1639649.0	0.9	0.9	0.4	0.0	3.1	0.6	0.6	0.6	extrapolated	benchmark	market	no	NA	86.1	0.7	0.2	0.1	0.1	-0.1	0	0.6	0.6	0.7	0.7	0.7	0.6
ARG-2009	Argentina	ARG	2009	Argentine Peso	692631.9	679886.2	40.8	17.0	1736.9	2.8	558344.6	659092.1	689048.1	678409.6	1731396.5	0.8	0.7	702380.7	567251.6	659970.9	1693622.0	0.9	0.9	0.4	0.0	3.7	0.5	0.6	0.6	extrapolated	benchmark	market	no	NA	87.2	0.7	0.1	0.1	0.1	-0.1	0	0.5	0.6	0.7	0.7	0.6	0.6
ARG-2010	Argentina	ARG	2010	Argentine Peso	762683.6	753785.4	41.2	17.5	1728.7	2.8	607689.9	741091.0	760271.9	752309.6	1773983.8	0.8	0.8	768766.8	612269.4	743068.2	1768973.8	1.0	0.9	0.4	0.0	3.9	0.6	0.6	0.6	extrapolated	benchmark	market	no	NA	86.1	0.7	0.2	0.1	0.1	-0.1	0	0.6	0.7	0.8	0.7	0.7	0.6
ARG-2011	Argentina	ARG	2011	Argentine Peso	842470.7	833239.0	41.7	17.9	1762.3	2.9	673449.5	829362.9	842470.7	833239.0	1863171.5	0.9	0.8	833239.0	673449.5	829362.9	1863171.5	1.0	1.0	0.4	0.0	4.1	0.7	0.7	0.7	extrapolated	benchmark	market	no	NA	82.2	0.7	0.2	0.1	0.1	-0.1	0	0.6	0.7	0.9	0.8	0.7	0.6
ARG-2012	Argentina	ARG	2012	Argentine Peso	853745.9	852365.6	42.1	18.1	1789.0	2.9	704737.6	837528.3	852570.2	850283.0	1942274.1	0.9	0.8	839919.6	704620.7	837051.7	1939971.2	1.0	1.0	0.4	0.0	4.5	0.7	0.7	0.7	extrapolated	benchmark	market	no	NA	86.0	0.7	0.2	0.1	0.1	-0.1	0	0.7	0.8	1.0	0.7	0.7	0.7
ARG-2013	Argentina	ARG	2013	Argentine Peso	875387.3	868237.1	42.5	18.3	1776.7	2.9	735537.4	871752.0	871444.4	864276.6	2041532.4	0.8	0.8	864154.2	735035.9	874057.2	2017062.6	1.0	1.0	0.4	0.0	5.5	0.7	0.7	0.7	extrapolated	benchmark	market	no	NA	76.7	0.7	0.2	0.1	0.1	-0.1	0	0.6	0.8	1.0	0.8	0.7	0.7
ARG-2014	Argentina	ARG	2014	Argentine Peso	869134.8	862902.4	43.0	18.1	1776.7	2.9	736459.2	863160.1	865793.0	859908.5	2148250.8	0.8	0.8	868209.3	735930.2	864139.0	2083029.9	1.0	1.0	0.4	0.0	8.1	0.6	0.6	0.6	extrapolated	benchmark	market	no	NA	83.3	0.7	0.1	0.1	0.1	-0.1	0	0.5	0.8	0.9	0.7	0.7	0.6

#3.Use las funciones creadas en 1 y 2, para generar 2 dataframes, que muestren los datos de “México” y “Canadá” para el periodo 2000-2014

#(clave 02)

#1. Construya una función que le permita elegir el país y filtrar para un periodo(inicio,final), muestre su uso filtrando los datos para Guatemala , en el periodo de 1990-2014.

#Función consulta pais, para un periodo especifico
funcion_consulta_pais<-function(iso_pais,anio_inicio,anio_final){
 enquo(iso_pais)->iso_pais
 pwt9.0 %>% filter(isocode==!!iso_pais,
 year>=anio_inicio,
 year<=anio_final)->df
 return(df)
}
# probando la función con Guatemala, codigo iso 3 "GTM",
# para el periodo 1990-2014
funcion_consulta_pais(iso_pais = "GTM",1990,2014) %>%
 kable(caption = "Probando Función consulta paises, GTM 1990-2014",
 digits = 1,align = "l") %>%
 kable_styling(bootstrap_options = "striped",
 full_width = TRUE)

Probando Función consulta paises, GTM 1990-2014

	country	isocode	year	currency	rgdpe	rgdpo	pop	emp	avh	hc	ccon	cda	cgdpe	cgdpo	ck	ctfp	cwtfp	rgdpna	rconna	rdana	rkna	rtfpna	rwtfpna	labsh	delta	xr	pl_con	pl_da	pl_gdpo	i_cig	i_xm	i_xr	i_outlier	cor_exp	statcap	csh_c	csh_i	csh_g	csh_x	csh_m	csh_r	pl_c	pl_i	pl_g	pl_x	pl_m	pl_k
GTM-1990	Guatemala	GTM	1990	Quetzal	33234.6	34222.7	9.2	2.5	NA	1.5	32241.0	35134.4	33063.2	34293.3	45778.6	0.9	0.9	46215.4	41905.3	47471.4	126784.4	1.0	0.9	0.5	0.1	4.5	0.2	0.2	0.2	interpolated	benchmark	market	no	NA	NA	0.8	0.1	0.1	0.1	-0.1	0.0	0.2	0.4	0.2	0.5	0.5	0.3
GTM-1991	Guatemala	GTM	1991	Quetzal	35438.7	36470.8	9.4	2.6	NA	1.5	33555.4	37250.1	35158.6	36600.2	47208.3	0.9	0.9	47906.0	43432.1	50421.9	129355.2	1.0	0.9	0.5	0.1	5.0	0.2	0.2	0.2	interpolated	benchmark	market	no	NA	NA	0.8	0.1	0.1	0.1	-0.1	0.0	0.2	0.4	0.2	0.5	0.5	0.3
GTM-1992	Guatemala	GTM	1992	Quetzal	36326.2	37987.7	9.6	2.7	NA	1.5	35497.8	40458.9	35981.5	37812.5	49587.2	0.9	0.9	50223.9	45647.4	54848.9	133586.8	1.0	1.0	0.5	0.1	5.2	0.2	0.3	0.2	interpolated	benchmark	market	no	NA	NA	0.8	0.1	0.1	0.1	-0.1	0.0	0.2	0.4	0.2	0.5	0.5	0.4
GTM-1993	Guatemala	GTM	1993	Quetzal	38583.3	40375.7	9.9	2.8	NA	1.5	37369.7	42216.4	38180.7	40147.5	53500.3	0.9	0.9	52196.8	47680.4	56266.1	140097.1	1.0	1.0	0.5	0.1	5.6	0.2	0.3	0.3	interpolated	benchmark	market	no	NA	NA	0.8	0.1	0.1	0.1	-0.1	0.0	0.3	0.4	0.2	0.5	0.5	0.3
GTM-1994	Guatemala	GTM	1994	Quetzal	41145.2	42164.7	10.1	3.0	NA	1.6	39555.8	44458.9	40625.7	42118.2	57302.1	0.8	0.9	54301.9	49909.4	58601.2	144104.8	1.0	0.9	0.5	0.1	5.8	0.3	0.3	0.3	interpolated	benchmark	market	no	NA	NA	0.8	0.1	0.1	0.1	-0.1	0.0	0.3	0.4	0.2	0.5	0.5	0.4
GTM-1995	Guatemala	GTM	1995	Quetzal	43889.6	45114.5	10.4	3.0	NA	1.6	42208.8	47068.0	43522.3	45290.4	62316.2	0.9	0.9	56981.1	52361.3	60906.5	150601.8	1.0	0.9	0.5	0.1	5.8	0.3	0.3	0.3	interpolated	benchmark	market	no	NA	NA	0.8	0.1	0.1	0.1	-0.1	0.0	0.3	0.4	0.2	0.5	0.5	0.3
GTM-1996	Guatemala	GTM	1996	Quetzal	45516.4	46279.2	10.6	3.1	NA	1.6	43993.9	48135.5	45269.6	46609.7	66182.5	0.8	0.9	58669.1	53711.6	60829.8	154488.9	1.0	0.9	0.5	0.1	6.0	0.3	0.3	0.3	interpolated	benchmark	market	no	NA	NA	0.9	0.1	0.1	0.1	-0.1	0.0	0.3	0.5	0.2	0.6	0.5	0.4
GTM-1997	Guatemala	GTM	1997	Quetzal	48241.9	48901.3	10.9	3.2	NA	1.6	46064.6	51158.2	47688.0	49022.4	72300.2	0.8	0.8	61235.1	55940.7	64595.6	163422.1	1.0	0.9	0.5	0.1	6.1	0.3	0.3	0.3	interpolated	benchmark	market	no	NA	NA	0.9	0.1	0.1	0.1	-0.2	0.0	0.3	0.5	0.3	0.5	0.5	0.3
GTM-1998	Guatemala	GTM	1998	Quetzal	51417.2	51953.6	11.1	3.3	NA	1.6	48666.8	55740.6	50502.8	52091.2	79881.7	0.8	0.8	64293.3	58718.5	70643.4	172925.6	0.9	1.0	0.5	0.1	6.4	0.3	0.3	0.3	interpolated	benchmark	market	no	NA	NA	0.8	0.1	0.1	0.1	-0.2	0.0	0.3	0.5	0.3	0.5	0.5	0.4
GTM-1999	Guatemala	GTM	1999	Quetzal	53551.0	54882.2	11.4	3.4	NA	1.6	51127.0	58298.1	52587.8	54994.9	89127.0	0.8	0.8	66766.6	61015.4	72668.6	185427.2	0.9	0.9	0.5	0.1	7.4	0.3	0.3	0.3	interpolated	benchmark	market	no	NA	47.8	0.8	0.1	0.1	0.1	-0.2	0.0	0.3	0.4	0.3	0.5	0.5	0.3
GTM-2000	Guatemala	GTM	2000	Quetzal	56102.1	57968.2	11.7	3.6	NA	1.7	53538.4	61430.3	55067.0	57636.4	96989.8	0.7	0.7	69175.8	63408.1	75548.2	192628.2	0.9	0.9	0.5	0.1	7.8	0.3	0.3	0.3	interpolated	benchmark	market	no	NA	NA	0.8	0.1	0.1	0.1	-0.2	0.0	0.3	0.4	0.3	0.5	0.5	0.3
GTM-2001	Guatemala	GTM	2001	Quetzal	58489.1	61418.7	12.0	3.7	NA	1.6	56344.4	65172.1	57608.4	61010.9	103967.5	0.7	0.8	70788.7	65909.3	78846.1	198709.3	0.9	0.9	0.5	0.1	7.9	0.3	0.3	0.3	interpolated	benchmark	market	no	NA	NA	0.8	0.1	0.1	0.1	-0.2	0.0	0.3	0.4	0.3	0.5	0.5	0.4
GTM-2002	Guatemala	GTM	2002	Quetzal	61456.7	63811.9	12.3	3.9	NA	1.6	58545.0	68691.8	60556.7	63553.1	112948.9	0.7	0.8	73525.9	67883.9	81973.3	205983.8	0.9	0.9	0.5	0.1	7.8	0.3	0.3	0.3	interpolated	benchmark	market	no	NA	NA	0.8	0.2	0.1	0.1	-0.2	0.1	0.3	0.4	0.4	0.5	0.5	0.4
GTM-2003	Guatemala	GTM	2003	Quetzal	63583.8	66275.4	12.6	4.0	NA	1.6	61206.7	71559.9	62545.6	66160.8	122840.9	0.7	0.7	75386.6	70127.8	84049.5	212495.2	0.9	0.9	0.5	0.1	7.9	0.3	0.4	0.3	interpolated	benchmark	market	no	NA	NA	0.8	0.2	0.1	0.1	-0.2	0.0	0.3	0.4	0.4	0.5	0.5	0.4
GTM-2004	Guatemala	GTM	2004	Quetzal	66131.6	69108.5	12.9	4.0	NA	1.6	63706.6	74806.2	64977.1	69019.6	136110.9	0.7	0.7	77762.9	72080.1	86489.9	218599.4	0.9	1.0	0.4	0.1	7.9	0.4	0.4	0.3	interpolated	benchmark	market	no	NA	81.1	0.8	0.2	0.1	0.1	-0.2	0.1	0.4	0.5	0.4	0.5	0.5	0.4
GTM-2005	Guatemala	GTM	2005	Quetzal	68825.3	72399.2	13.2	4.2	NA	1.6	68320.2	79756.3	68791.5	72216.7	153376.9	0.7	0.7	80298.1	74991.0	89195.8	225095.9	0.9	1.0	0.4	0.1	7.6	0.4	0.4	0.4	interpolated	benchmark	market	no	NA	78.9	0.9	0.2	0.1	0.1	-0.3	0.0	0.4	0.5	0.4	0.6	0.5	0.4
GTM-2006	Guatemala	GTM	2006	Quetzal	73486.2	76669.0	13.5	4.5	NA	1.6	72078.9	85189.2	72839.5	76602.5	173933.1	0.7	0.7	84617.9	78573.3	94445.4	234027.8	0.9	1.0	0.4	0.0	7.6	0.4	0.4	0.4	interpolated	benchmark	market	no	NA	80.0	0.9	0.2	0.1	0.1	-0.2	0.0	0.4	0.5	0.4	0.6	0.6	0.4
GTM-2007	Guatemala	GTM	2007	Quetzal	79439.3	82025.2	13.8	4.5	NA	1.7	77205.1	91696.3	78528.7	82105.0	192681.0	0.7	0.7	89952.3	83017.8	100097.3	243391.2	1.0	1.0	0.4	0.0	7.7	0.4	0.4	0.4	interpolated	benchmark	market	no	NA	78.9	0.9	0.2	0.1	0.1	-0.3	0.0	0.4	0.5	0.4	0.6	0.6	0.4
GTM-2008	Guatemala	GTM	2008	Quetzal	83265.5	85980.3	14.1	4.5	NA	1.7	82892.9	95164.7	82976.3	85649.1	209983.8	0.7	0.7	92903.7	87139.7	100861.8	251030.0	1.0	1.0	0.4	0.0	7.6	0.5	0.5	0.5	interpolated	benchmark	market	no	NA	82.2	0.9	0.1	0.1	0.1	-0.3	0.0	0.5	0.5	0.5	0.7	0.6	0.4
GTM-2009	Guatemala	GTM	2009	Quetzal	87864.5	88414.6	14.4	4.5	NA	1.7	84656.9	95068.2	87094.7	88634.6	223994.4	0.7	0.7	93392.6	88072.6	99219.4	255899.8	1.0	0.9	0.4	0.0	8.2	0.4	0.4	0.4	interpolated	benchmark	market	no	NA	85.6	0.9	0.1	0.1	0.1	-0.2	0.0	0.4	0.5	0.4	0.7	0.6	0.4
GTM-2010	Guatemala	GTM	2010	Quetzal	92085.6	93170.7	14.7	4.3	NA	1.8	89748.7	101272.5	91646.2	93270.4	241053.6	0.7	0.7	96072.4	91514.5	103506.6	260478.3	1.0	1.0	0.4	0.0	8.1	0.4	0.5	0.4	interpolated	benchmark	market	no	NA	85.6	0.9	0.1	0.1	0.1	-0.2	0.0	0.4	0.5	0.4	0.7	0.6	0.4
GTM-2011	Guatemala	GTM	2011	Quetzal	98496.6	100070.9	15.0	4.5	NA	1.8	94919.2	109068.4	98496.6	100070.9	266095.2	0.7	0.7	100070.9	94919.2	109068.4	266095.2	1.0	1.0	0.4	0.0	7.8	0.5	0.5	0.5	benchmark	benchmark	market	no	0.6	83.3	0.8	0.1	0.1	0.1	-0.3	0.0	0.5	0.5	0.5	0.7	0.6	0.4
GTM-2012	Guatemala	GTM	2012	Quetzal	101200.2	102466.4	15.4	5.1	NA	1.8	98274.9	112493.7	101122.4	101964.9	272282.8	0.7	0.7	103043.0	98167.0	112555.0	272057.2	1.0	1.0	0.4	0.0	7.8	0.5	0.5	0.5	extrapolated	benchmark	market	no	NA	80.0	0.9	0.1	0.1	0.1	-0.3	0.0	0.5	0.5	0.5	0.7	0.6	0.4
GTM-2013	Guatemala	GTM	2013	Quetzal	104637.7	105246.7	15.7	4.9	NA	1.8	102153.3	115864.6	104280.2	104663.1	281013.8	0.7	0.7	106852.9	101996.6	116153.3	277956.6	1.0	1.0	0.4	0.0	7.9	0.5	0.5	0.5	extrapolated	benchmark	market	no	NA	76.7	0.9	0.1	0.1	0.1	-0.3	0.0	0.5	0.6	0.5	0.7	0.6	0.4
GTM-2014	Guatemala	GTM	2014	Quetzal	109715.6	110703.2	16.0	5.0	NA	1.8	106532.5	120539.6	109468.7	110100.0	292397.5	0.7	0.7	111393.9	106132.7	120700.0	284343.5	1.0	1.0	0.4	0.0	7.7	0.5	0.5	0.5	extrapolated	benchmark	market	no	NA	68.9	0.9	0.1	0.1	0.1	-0.3	0.0	0.5	0.6	0.5	0.7	0.6	0.4

#2. Construya una función que le permita elegir todas las variables de la categoría “Labor detail”, muestre su uso para los datos de Argentina

#Función Trade_details
funcion_labor_detail<-function(iso_pais,anio){
 enquo(iso_pais)->iso_pais
 pwt9.0 %>% filter(isocode==!!iso_pais)
}
# probando la función con Argentina, codigo iso 3 "ARG",
# para el periodo 1990-2014
funcion_labor_detail(iso_pais = "ARG") %>%
 kable(caption = "Probando Función consulta paises, ARG",
 digits = 1,align = "l") %>%
 kable_styling(bootstrap_options = "striped",
 full_width = TRUE)

Probando Función consulta paises, ARG

	country	isocode	year	currency	rgdpe	rgdpo	pop	emp	avh	hc	ccon	cda	cgdpe	cgdpo	ck	ctfp	cwtfp	rgdpna	rconna	rdana	rkna	rtfpna	rwtfpna	labsh	delta	xr	pl_con	pl_da	pl_gdpo	i_cig	i_xm	i_xr	i_outlier	cor_exp	statcap	csh_c	csh_i	csh_g	csh_x	csh_m	csh_r	pl_c	pl_i	pl_g	pl_x	pl_m	pl_k
ARG-1950	Argentina	ARG	1950	Argentine Peso	49589.3	48987.6	17.2	6.5	2034.0	1.8	44196.5	48665.1	49566.1	50750.0	57509.3	0.7	0.7	153269.5	115974.9	128281.0	272087.3	0.9	0.8	0.5	0.0	0.0	0.2	0.2	0.2	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	-0.1	0	0.2	0.5	0.3	0.1	0.1	0.5
ARG-1951	Argentina	ARG	1951	Argentine Peso	51958.6	50321.7	17.5	6.7	2037.9	1.8	45191.0	51980.8	51969.6	52103.1	61940.0	0.7	0.7	162321.9	118898.0	140619.7	286250.3	0.9	0.8	0.5	0.0	0.0	0.2	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	-0.1	0	0.2	0.4	0.3	0.2	0.1	0.5
ARG-1952	Argentina	ARG	1952	Argentine Peso	47026.3	45890.6	17.9	6.8	2041.7	1.8	42259.5	48331.0	46903.5	47361.8	65282.9	0.6	0.6	152653.7	112429.3	130408.9	294574.8	0.8	0.7	0.5	0.0	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	-0.1	0	0.3	0.4	0.3	0.1	0.1	0.5
ARG-1953	Argentina	ARG	1953	Argentine Peso	48872.8	48772.7	18.2	6.9	2045.6	1.9	42266.4	48688.5	48805.4	50376.1	67051.5	0.6	0.6	159095.5	111989.7	131589.7	303104.2	0.9	0.7	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	0.0	0	0.3	0.4	0.3	0.1	0.1	0.5
ARG-1954	Argentina	ARG	1954	Argentine Peso	51117.5	51031.8	18.6	7.0	2049.5	1.9	45468.2	51605.5	50934.8	52582.3	67107.3	0.6	0.6	164275.7	120515.2	138876.4	309455.2	0.9	0.7	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	0.0	0	0.3	0.4	0.4	0.1	0.1	0.5
ARG-1955	Argentina	ARG	1955	Argentine Peso	55854.7	54874.7	18.9	7.1	2053.4	1.9	49907.4	56732.2	55388.4	56293.7	68349.9	0.6	0.6	175750.1	132510.3	153271.2	317486.1	0.9	0.8	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	-0.1	0	0.3	0.4	0.4	0.1	0.1	0.5
ARG-1956	Argentina	ARG	1956	Argentine Peso	57230.1	56284.2	19.3	7.2	2057.3	1.9	49249.9	55738.0	56411.9	57359.5	71089.7	0.6	0.6	180385.1	132301.5	151415.4	322676.3	0.9	0.8	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	0.0	0	0.3	0.4	0.3	0.2	0.2	0.5
ARG-1957	Argentina	ARG	1957	Argentine Peso	59882.9	59188.2	19.6	7.3	2061.2	1.9	51866.7	59086.1	58894.8	60120.8	73226.9	0.6	0.6	187317.2	139720.6	161017.7	329198.7	0.9	0.8	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	0.0	0	0.3	0.4	0.3	0.2	0.2	0.5
ARG-1958	Argentina	ARG	1958	Argentine Peso	64495.2	63697.4	20.0	7.4	2065.1	1.9	55623.1	63523.8	63422.4	64705.1	73912.4	0.7	0.6	199688.6	149917.9	173101.9	336580.3	1.0	0.8	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	0.0	0	0.3	0.5	0.4	0.2	0.2	0.6
ARG-1959	Argentina	ARG	1959	Argentine Peso	61158.3	60043.2	20.3	7.5	2069.1	1.9	51187.8	58398.2	59814.2	60700.8	74841.0	0.6	0.6	190017.8	139109.5	160115.6	339898.6	0.9	0.8	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	0.0	0	0.3	0.4	0.3	0.2	0.3	0.5
ARG-1960	Argentina	ARG	1960	Argentine Peso	66006.8	64673.6	20.6	7.6	2073.0	2.0	53459.5	63818.4	65066.6	65393.7	74654.3	0.6	0.6	210664.0	143514.2	176761.8	354264.6	1.0	0.8	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.7	0.2	0.1	0.1	-0.1	0	0.3	0.4	0.3	0.2	0.2	0.5
ARG-1961	Argentina	ARG	1961	Argentine Peso	69125.4	66844.8	21.0	7.7	2066.2	2.0	57061.0	67936.3	68343.9	67767.3	78036.5	0.6	0.6	217519.1	151319.2	188086.5	369549.6	1.0	0.8	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.2	0.1	0.1	-0.1	0	0.3	0.5	0.3	0.2	0.2	0.6
ARG-1962	Argentina	ARG	1962	Argentine Peso	65920.7	67655.3	21.3	7.8	2059.4	2.0	57727.4	67450.8	65139.3	68757.9	79482.5	0.6	0.6	218910.8	152628.1	185561.9	379242.4	1.0	0.8	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	-0.1	0	0.3	0.4	0.4	0.1	0.3	0.5
ARG-1963	Argentina	ARG	1963	Argentine Peso	65368.5	65443.9	21.6	7.9	2052.7	2.0	55734.7	63794.2	64344.5	66485.7	78638.9	0.6	0.6	210872.3	148284.5	175084.6	381803.7	0.9	0.8	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	0.0	0	0.3	0.4	0.4	0.2	0.3	0.5
ARG-1964	Argentina	ARG	1964	Argentine Peso	69836.6	68879.1	22.0	8.0	2045.9	2.0	59449.8	69856.5	68476.3	69701.4	79273.6	0.6	0.6	227261.8	159055.4	193930.9	393367.9	1.0	0.8	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	-0.1	0	0.3	0.4	0.3	0.2	0.2	0.6
ARG-1965	Argentina	ARG	1965	Argentine Peso	80459.2	77556.7	22.3	8.1	2039.2	2.0	67332.0	78074.0	78841.7	78394.8	81756.4	0.6	0.6	248167.5	180165.5	215880.3	406033.3	1.0	0.9	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	-0.1	0	0.3	0.5	0.3	0.2	0.2	0.6
ARG-1966	Argentina	ARG	1966	Argentine Peso	80040.9	79047.1	22.6	8.2	2032.5	2.0	66558.8	76863.5	78401.1	79967.9	84346.8	0.6	0.6	248753.2	178110.3	212325.1	418126.2	1.0	0.9	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	0.0	0	0.3	0.5	0.4	0.2	0.2	0.6
ARG-1967	Argentina	ARG	1967	Argentine Peso	83599.0	81800.0	22.9	8.3	2025.9	2.0	69076.4	79657.5	82110.7	82972.8	87191.4	0.6	0.6	255686.6	183755.1	219318.4	432138.7	1.0	0.9	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	market	no	NA	NA	0.8	0.1	0.1	0.1	0.0	0	0.3	0.5	0.4	0.2	0.3	0.6
ARG-1968	Argentina	ARG	1968	Argentine Peso	86008.8	84209.7	23.3	8.4	2019.2	2.0	72181.6	83623.9	84618.2	85573.6	90599.0	0.6	0.6	268893.9	191721.5	230735.3	450391.6	1.0	0.9	0.5	0.1	0.0	0.3	0.4	0.4	extrapolated	extrapolated	market	no	NA	NA	0.8	0.1	0.1	0.1	0.0	0	0.3	0.5	0.4	0.3	0.3	0.7
ARG-1969	Argentina	ARG	1969	Argentine Peso	93610.0	92424.1	23.6	8.5	2012.6	2.1	76901.0	91107.1	91819.2	93621.6	97227.8	0.7	0.6	293540.4	205037.3	254015.0	478651.3	1.1	0.9	0.5	0.1	0.0	0.4	0.4	0.4	extrapolated	extrapolated	market	no	NA	NA	0.8	0.2	0.1	0.1	0.0	0	0.4	0.6	0.5	0.2	0.3	0.7
ARG-1970	Argentina	ARG	1970	Argentine Peso	95479.4	95035.7	24.0	8.6	2006.0	2.1	77854.9	92530.3	93436.2	96162.2	103105.8	0.7	0.6	302924.0	208462.7	258571.5	507496.5	1.1	0.9	0.5	0.1	0.0	0.4	0.4	0.4	extrapolated	extrapolated	market	no	NA	NA	0.7	0.2	0.1	0.1	-0.1	0	0.4	0.6	0.5	0.2	0.3	0.7
ARG-1971	Argentina	ARG	1971	Argentine Peso	99901.8	98051.9	24.4	8.6	2002.7	2.1	80738.4	97204.3	97439.5	98853.5	110420.7	0.6	0.6	314320.1	217571.8	273586.4	540189.1	1.1	0.9	0.5	0.1	0.0	0.4	0.5	0.5	extrapolated	extrapolated	market	no	NA	NA	0.7	0.2	0.1	0.1	-0.1	0	0.4	0.6	0.5	0.3	0.3	0.8
ARG-1972	Argentina	ARG	1972	Argentine Peso	102289.2	99798.4	24.8	8.7	1999.3	2.1	81579.8	98280.0	99306.8	100243.7	117993.6	0.6	0.6	320848.5	221061.9	277641.5	572814.4	1.1	0.9	0.5	0.1	0.0	0.4	0.4	0.4	extrapolated	extrapolated	estimated	no	NA	NA	0.7	0.2	0.1	0.0	0.0	0	0.4	0.6	0.5	0.3	0.4	0.7
ARG-1973	Argentina	ARG	1973	Argentine Peso	108064.7	105425.3	25.2	8.8	1996.0	2.1	84356.8	100455.2	104255.3	105296.7	125268.2	0.6	0.6	332866.0	231009.9	284380.6	599764.5	1.1	0.9	0.5	0.1	0.0	0.4	0.4	0.4	extrapolated	extrapolated	estimated	no	NA	NA	0.7	0.2	0.1	0.0	0.0	0	0.4	0.6	0.6	0.3	0.3	0.7
ARG-1974	Argentina	ARG	1974	Argentine Peso	113038.7	110358.5	25.6	9.1	1992.8	2.2	90250.8	107093.7	109558.2	110699.1	134567.6	0.6	0.6	350859.5	247436.8	300945.7	628631.4	1.1	0.9	0.5	0.0	0.0	0.5	0.5	0.5	extrapolated	extrapolated	estimated	no	NA	NA	0.7	0.2	0.1	0.0	0.0	0	0.4	0.6	0.7	0.3	0.3	0.8
ARG-1975	Argentina	ARG	1975	Argentine Peso	111643.7	108928.8	26.1	9.2	1989.7	2.2	90029.8	107580.9	108409.9	109256.1	142748.5	0.6	0.6	348777.8	247385.2	302213.7	657108.1	1.0	0.9	0.5	0.0	0.0	0.5	0.5	0.5	extrapolated	extrapolated	estimated	no	NA	NA	0.7	0.2	0.1	0.1	-0.1	0	0.4	0.9	0.8	0.3	0.3	1.1
ARG-1976	Argentina	ARG	1976	Argentine Peso	110320.3	108897.0	26.5	9.2	1986.5	2.2	83006.1	101598.3	106698.6	108981.9	149980.6	0.6	0.6	348736.3	230064.9	292520.4	691774.1	1.0	0.9	0.5	0.0	0.0	0.5	0.6	0.6	extrapolated	extrapolated	estimated	no	NA	NA	0.7	0.2	0.1	0.1	0.0	0	0.5	0.9	0.6	0.3	0.4	1.1
ARG-1977	Argentina	ARG	1977	Argentine Peso	114844.1	116226.1	26.9	9.4	1983.4	2.2	85170.3	107336.4	111169.0	116397.4	163067.0	0.6	0.6	371007.2	235079.5	314150.1	739455.6	1.0	0.9	0.5	0.0	0.0	0.5	0.6	0.6	extrapolated	extrapolated	estimated	no	NA	NA	0.7	0.2	0.1	0.1	-0.1	0	0.5	0.9	0.6	0.3	0.5	1.0
ARG-1978	Argentina	ARG	1978	Argentine Peso	111297.9	114318.6	27.3	9.5	1980.3	2.2	83845.4	102467.5	107594.8	113910.1	174031.4	0.6	0.5	359051.8	232018.2	296558.5	775191.0	1.0	0.8	0.5	0.0	0.0	0.6	0.7	0.6	extrapolated	extrapolated	estimated	no	NA	NA	0.7	0.2	0.1	0.1	-0.1	0	0.6	0.9	0.8	0.3	0.4	1.1
ARG-1979	Argentina	ARG	1979	Argentine Peso	121546.7	121946.6	27.7	9.6	1977.1	2.2	95949.9	116240.3	117546.7	121829.0	186264.8	0.6	0.6	384246.9	264066.5	334843.6	814771.1	1.0	0.9	0.5	0.0	0.0	0.6	0.7	0.7	extrapolated	extrapolated	estimated	no	NA	NA	0.7	0.2	0.1	0.1	-0.1	0	0.6	0.9	0.8	0.2	0.3	1.1
ARG-1980	Argentina	ARG	1980	Argentine Peso	128656.7	123486.8	28.1	9.6	1974.0	2.3	104426.3	126584.2	125302.8	123801.3	198601.1	0.6	0.6	389832.8	284214.9	361596.2	857415.8	1.0	0.9	0.5	0.0	0.0	0.7	0.7	0.7	benchmark	extrapolated	estimated	no	0.6	NA	0.8	0.2	0.1	0.1	-0.1	0	0.6	1.0	1.0	0.2	0.2	1.1
ARG-1981	Argentina	ARG	1981	Argentine Peso	127595.1	124252.8	28.5	9.7	1961.2	2.3	104824.0	124706.2	124441.9	124345.6	218197.2	0.6	0.6	368715.7	274387.7	339306.5	886926.0	0.9	0.8	0.5	0.0	0.0	0.7	0.8	0.8	interpolated	extrapolated	estimated	no	NA	NA	0.8	0.2	0.1	0.1	-0.1	0	0.7	1.0	1.0	0.3	0.3	1.1
ARG-1982	Argentina	ARG	1982	Argentine Peso	127662.0	129667.3	29.0	9.8	1948.5	2.3	104490.6	121499.9	124978.2	130091.6	235138.4	0.6	0.6	357059.7	262300.8	312416.3	902944.6	0.9	0.8	0.5	0.0	0.0	0.7	0.8	0.7	interpolated	extrapolated	estimated	no	NA	NA	0.7	0.1	0.1	0.1	-0.1	0	0.7	1.2	1.0	0.4	0.5	1.3
ARG-1983	Argentina	ARG	1983	Argentine Peso	139502.8	140620.1	29.5	10.1	1935.9	2.4	114022.0	131910.1	136673.3	141326.8	247653.3	0.6	0.6	371743.2	273958.6	323634.2	919660.5	0.9	0.8	0.5	0.0	0.0	0.7	0.8	0.7	interpolated	extrapolated	estimated	no	NA	NA	0.7	0.1	0.1	0.1	-0.1	0	0.7	1.1	1.0	0.4	0.5	1.3
ARG-1984	Argentina	ARG	1984	Argentine Peso	148994.6	149928.6	29.9	10.3	1923.4	2.4	123364.9	141340.8	145588.0	150490.9	262313.6	0.6	0.6	379198.5	284824.7	331102.0	933932.4	0.9	0.8	0.5	0.0	0.0	0.7	0.8	0.7	interpolated	benchmark	estimated	no	NA	NA	0.7	0.1	0.1	0.1	-0.1	0	0.7	1.1	1.0	0.4	0.4	1.3
ARG-1985	Argentina	ARG	1985	Argentine Peso	142946.0	146209.6	30.4	10.4	1911.0	2.4	116254.7	132663.4	140244.7	147517.9	279101.9	0.6	0.5	352821.2	257039.5	296118.9	940615.9	0.8	0.7	0.5	0.0	0.0	0.7	0.8	0.7	interpolated	benchmark	market	no	NA	NA	0.7	0.1	0.1	0.2	-0.1	0	0.7	1.1	0.9	0.4	0.4	1.2
ARG-1986	Argentina	ARG	1986	Argentine Peso	162835.4	163147.7	30.9	10.7	1898.6	2.4	137733.1	157113.8	159860.3	163067.0	305964.5	0.6	0.5	378025.4	287773.1	331053.1	952417.2	0.8	0.7	0.5	0.0	0.0	0.8	0.8	0.8	interpolated	benchmark	market	no	NA	NA	0.8	0.1	0.1	0.1	-0.1	0	0.7	1.1	1.0	0.4	0.5	1.2
ARG-1987	Argentina	ARG	1987	Argentine Peso	175065.1	173890.6	31.3	11.0	1886.3	2.5	147631.4	171153.1	171691.0	173066.6	336762.6	0.6	0.6	387599.9	293595.3	343823.7	970684.1	0.8	0.8	0.5	0.0	0.0	0.7	0.8	0.8	interpolated	benchmark	market	no	NA	NA	0.8	0.1	0.1	0.1	-0.1	0	0.7	1.0	0.9	0.5	0.5	1.1
ARG-1988	Argentina	ARG	1988	Argentine Peso	183604.2	184885.2	31.8	11.2	1874.1	2.5	149780.1	174252.6	180219.2	184254.7	370912.8	0.6	0.5	380031.1	281965.1	330467.9	986288.9	0.8	0.7	0.5	0.0	0.0	0.8	0.8	0.8	interpolated	benchmark	market	no	NA	NA	0.7	0.1	0.1	0.1	-0.1	0	0.8	1.1	1.0	0.5	0.5	1.2
ARG-1989	Argentina	ARG	1989	Argentine Peso	180500.6	178384.1	32.3	11.3	1862.0	2.5	145769.0	166338.5	177484.6	178125.2	403987.6	0.5	0.5	353388.8	259243.5	295830.2	990143.5	0.8	0.6	0.5	0.0	0.0	0.5	0.5	0.5	interpolated	benchmark	market	no	NA	NA	0.7	0.1	0.1	0.1	0.0	0	0.5	0.6	0.5	0.5	0.5	0.7
ARG-1990	Argentina	ARG	1990	Argentine Peso	194594.7	199708.3	32.7	11.6	1850.0	2.5	165232.2	183638.2	194129.8	201766.7	440458.2	0.6	0.5	348658.3	263743.4	293106.9	987685.9	0.7	0.6	0.5	0.0	0.5	0.8	0.9	0.8	interpolated	benchmark	market	no	NA	NA	0.8	0.1	0.1	0.1	0.0	0	0.8	1.2	1.5	0.5	0.5	1.3
ARG-1991	Argentina	ARG	1991	Argentine Peso	233984.2	235515.3	33.2	12.0	1838.0	2.6	202561.8	229998.1	232933.2	235912.8	489520.9	0.6	0.6	385253.6	300751.1	340948.6	997420.9	0.8	0.7	0.5	0.0	1.0	1.0	1.0	1.0	interpolated	benchmark	market	no	NA	NA	0.8	0.1	0.1	0.1	-0.1	0	0.9	1.1	1.9	0.6	0.6	1.2
ARG-1992	Argentina	ARG	1992	Argentine Peso	281707.6	277855.8	33.7	12.1	1826.0	2.6	243088.8	284944.9	280012.8	279556.9	559911.3	0.7	0.7	424952.1	341605.1	396540.5	1022459.0	0.9	0.8	0.5	0.0	1.0	1.0	1.0	1.0	interpolated	benchmark	market	no	NA	NA	0.8	0.1	0.1	0.1	-0.1	0	0.9	1.0	1.5	0.5	0.5	1.1
ARG-1993	Argentina	ARG	1993	Argentine Peso	325385.7	320473.9	34.1	12.1	1850.3	2.6	274640.2	331114.1	323284.4	320980.2	669640.2	0.7	0.7	451518.8	360504.0	425050.5	1061497.9	0.9	0.8	0.5	0.0	1.0	0.9	0.9	0.9	interpolated	benchmark	market	no	NA	NA	0.8	0.2	0.1	0.1	-0.1	0	0.8	0.9	1.2	0.5	0.5	1.0
ARG-1994	Argentina	ARG	1994	Argentine Peso	379470.2	372903.0	34.6	12.1	1875.0	2.6	315779.1	389269.5	375305.3	372981.6	828229.2	0.7	0.8	477870.5	379528.1	453621.2	1104743.8	0.9	0.9	0.5	0.0	1.0	0.8	0.8	0.8	interpolated	benchmark	market	no	NA	NA	0.7	0.2	0.1	0.1	-0.1	0	0.8	0.8	1.0	0.5	0.6	0.8
ARG-1995	Argentina	ARG	1995	Argentine Peso	419159.1	416118.8	35.0	11.5	1897.2	2.6	340894.6	417030.6	414738.3	416185.7	1053556.9	0.8	0.8	464273.8	365529.7	429158.4	1134617.5	0.9	0.8	0.5	0.0	1.0	0.8	0.7	0.7	interpolated	benchmark	market	no	NA	NA	0.7	0.2	0.1	0.1	-0.1	0	0.8	0.7	0.7	0.6	0.6	0.7
ARG-1996	Argentina	ARG	1996	Argentine Peso	537693.3	532989.8	35.4	11.8	1846.1	2.6	426053.2	529961.0	530439.6	530883.3	1390282.6	0.9	0.8	489932.7	384072.7	453648.0	1170010.4	0.9	0.9	0.4	0.0	1.0	0.6	0.6	0.6	benchmark	benchmark	market	no	0.5	NA	0.6	0.2	0.2	0.1	-0.1	0	0.7	0.5	0.4	0.6	0.6	0.5
ARG-1997	Argentina	ARG	1997	Argentine Peso	560207.2	553420.7	35.8	12.4	1917.3	2.6	442205.6	560620.8	551904.4	551406.4	1400468.8	0.8	0.8	529671.4	415632.5	498146.2	1217761.8	0.9	0.9	0.4	0.0	1.0	0.7	0.6	0.6	interpolated	benchmark	market	no	NA	NA	0.6	0.2	0.2	0.1	-0.1	0	0.7	0.5	0.4	0.6	0.6	0.6
ARG-1998	Argentina	ARG	1998	Argentine Peso	564924.8	554934.2	36.2	12.9	1903.0	2.6	444545.0	566039.8	553853.5	553125.9	1424251.4	0.8	0.8	550064.8	430012.9	518130.7	1269080.9	0.9	0.9	0.4	0.0	1.0	0.7	0.6	0.6	interpolated	benchmark	market	no	NA	NA	0.7	0.2	0.1	0.1	-0.1	0	0.7	0.6	0.5	0.5	0.5	0.6
ARG-1999	Argentina	ARG	1999	Argentine Peso	530878.6	523007.4	36.6	13.0	1893.2	2.6	430989.8	534649.2	521036.1	522478.2	1433022.8	0.7	0.7	531442.6	424051.4	500324.4	1305226.8	0.9	0.8	0.5	0.0	1.0	0.7	0.7	0.6	interpolated	benchmark	market	no	NA	68.3	0.7	0.2	0.1	0.1	-0.1	0	0.7	0.6	0.6	0.5	0.5	0.6
ARG-2000	Argentina	ARG	2000	Argentine Peso	525824.8	520440.7	37.1	13.1	1861.0	2.7	421606.6	517902.7	517365.1	520203.2	1431154.5	0.7	0.7	527249.5	421988.0	492747.2	1334261.5	0.9	0.8	0.5	0.0	1.0	0.7	0.7	0.7	interpolated	benchmark	market	no	NA	NA	0.7	0.2	0.1	0.1	-0.1	0	0.7	0.5	0.6	0.5	0.5	0.6
ARG-2001	Argentina	ARG	2001	Argentine Peso	491117.4	489405.2	37.5	13.0	1803.4	2.7	395487.1	475983.8	485221.2	490409.9	1412692.1	0.7	0.7	504004.0	399949.9	459249.2	1350421.0	0.8	0.8	0.5	0.0	1.0	0.7	0.7	0.7	interpolated	benchmark	market	no	NA	NA	0.7	0.2	0.1	0.1	-0.1	0	0.7	0.5	0.7	0.5	0.5	0.6
ARG-2002	Argentina	ARG	2002	Argentine Peso	453929.7	421078.2	37.9	13.0	1610.6	2.7	339499.8	390483.7	449011.2	422775.6	1330856.4	0.7	0.6	449095.3	347634.6	382853.2	1340429.5	0.8	0.7	0.4	0.0	3.1	0.3	0.3	0.3	interpolated	benchmark	market	no	NA	NA	0.7	0.1	0.1	0.1	0.0	0	0.3	0.3	0.3	0.5	0.5	0.3
ARG-2003	Argentina	ARG	2003	Argentine Peso	479253.2	456466.5	38.3	13.7	1719.4	2.7	361385.0	429605.3	474079.8	454726.8	1326432.2	0.7	0.6	488782.1	372779.6	425665.2	1349205.2	0.8	0.7	0.4	0.0	2.9	0.3	0.3	0.3	interpolated	benchmark	market	no	NA	NA	0.7	0.2	0.1	0.1	-0.1	0	0.3	0.3	0.3	0.5	0.5	0.3
ARG-2004	Argentina	ARG	2004	Argentine Peso	517308.9	499958.9	38.7	14.7	1739.7	2.8	390279.6	479519.8	511582.5	497031.0	1365802.9	0.7	0.6	532917.0	404827.9	479736.5	1379962.0	0.8	0.8	0.4	0.0	2.9	0.4	0.4	0.4	interpolated	benchmark	market	no	NA	88.9	0.7	0.2	0.1	0.1	-0.1	0	0.4	0.4	0.4	0.6	0.5	0.4
ARG-2005	Argentina	ARG	2005	Argentine Peso	556650.4	546220.4	39.1	15.3	1755.3	2.8	432727.4	529555.2	558362.4	547243.8	1437139.1	0.7	0.7	582085.6	442472.7	526088.4	1427637.1	0.9	0.8	0.4	0.0	2.9	0.4	0.4	0.4	benchmark	benchmark	market	no	0.8	86.1	0.7	0.2	0.1	0.1	-0.1	0	0.4	0.4	0.5	0.6	0.6	0.4
ARG-2006	Argentina	ARG	2006	Argentine Peso	606310.6	593656.0	39.6	15.9	1809.4	2.8	463070.0	575257.7	604193.3	593230.8	1552985.1	0.7	0.7	630836.7	475221.1	576239.4	1490019.6	0.9	0.8	0.4	0.0	3.1	0.4	0.4	0.4	extrapolated	benchmark	market	no	NA	87.2	0.7	0.2	0.1	0.1	-0.1	0	0.4	0.5	0.5	0.6	0.6	0.4
ARG-2007	Argentina	ARG	2007	Argentine Peso	660317.9	649728.0	40.0	16.4	1816.9	2.8	505824.1	632473.4	656393.2	646576.2	1646294.5	0.8	0.7	681086.5	517800.3	636017.3	1563072.4	0.9	0.9	0.4	0.0	3.1	0.5	0.5	0.5	extrapolated	benchmark	market	no	NA	83.9	0.7	0.2	0.1	0.1	-0.1	0	0.5	0.6	0.6	0.7	0.6	0.5
ARG-2008	Argentina	ARG	2008	Argentine Peso	693144.8	685144.1	40.4	16.8	1835.9	2.8	537597.8	671160.9	693260.2	683466.8	1719041.9	0.8	0.7	702029.5	544240.5	670767.2	1639649.0	0.9	0.9	0.4	0.0	3.1	0.6	0.6	0.6	extrapolated	benchmark	market	no	NA	86.1	0.7	0.2	0.1	0.1	-0.1	0	0.6	0.6	0.7	0.7	0.7	0.6
ARG-2009	Argentina	ARG	2009	Argentine Peso	692631.9	679886.2	40.8	17.0	1736.9	2.8	558344.6	659092.1	689048.1	678409.6	1731396.5	0.8	0.7	702380.7	567251.6	659970.9	1693622.0	0.9	0.9	0.4	0.0	3.7	0.5	0.6	0.6	extrapolated	benchmark	market	no	NA	87.2	0.7	0.1	0.1	0.1	-0.1	0	0.5	0.6	0.7	0.7	0.6	0.6
ARG-2010	Argentina	ARG	2010	Argentine Peso	762683.6	753785.4	41.2	17.5	1728.7	2.8	607689.9	741091.0	760271.9	752309.6	1773983.8	0.8	0.8	768766.8	612269.4	743068.2	1768973.8	1.0	0.9	0.4	0.0	3.9	0.6	0.6	0.6	extrapolated	benchmark	market	no	NA	86.1	0.7	0.2	0.1	0.1	-0.1	0	0.6	0.7	0.8	0.7	0.7	0.6
ARG-2011	Argentina	ARG	2011	Argentine Peso	842470.7	833239.0	41.7	17.9	1762.3	2.9	673449.5	829362.9	842470.7	833239.0	1863171.5	0.9	0.8	833239.0	673449.5	829362.9	1863171.5	1.0	1.0	0.4	0.0	4.1	0.7	0.7	0.7	extrapolated	benchmark	market	no	NA	82.2	0.7	0.2	0.1	0.1	-0.1	0	0.6	0.7	0.9	0.8	0.7	0.6
ARG-2012	Argentina	ARG	2012	Argentine Peso	853745.9	852365.6	42.1	18.1	1789.0	2.9	704737.6	837528.3	852570.2	850283.0	1942274.1	0.9	0.8	839919.6	704620.7	837051.7	1939971.2	1.0	1.0	0.4	0.0	4.5	0.7	0.7	0.7	extrapolated	benchmark	market	no	NA	86.0	0.7	0.2	0.1	0.1	-0.1	0	0.7	0.8	1.0	0.7	0.7	0.7
ARG-2013	Argentina	ARG	2013	Argentine Peso	875387.3	868237.1	42.5	18.3	1776.7	2.9	735537.4	871752.0	871444.4	864276.6	2041532.4	0.8	0.8	864154.2	735035.9	874057.2	2017062.6	1.0	1.0	0.4	0.0	5.5	0.7	0.7	0.7	extrapolated	benchmark	market	no	NA	76.7	0.7	0.2	0.1	0.1	-0.1	0	0.6	0.8	1.0	0.8	0.7	0.7
ARG-2014	Argentina	ARG	2014	Argentine Peso	869134.8	862902.4	43.0	18.1	1776.7	2.9	736459.2	863160.1	865793.0	859908.5	2148250.8	0.8	0.8	868209.3	735930.2	864139.0	2083029.9	1.0	1.0	0.4	0.0	8.1	0.6	0.6	0.6	extrapolated	benchmark	market	no	NA	83.3	0.7	0.1	0.1	0.1	-0.1	0	0.5	0.8	0.9	0.7	0.7	0.6

#3. Use las funciones creadas en 1 y 2, para generar 2 dataframes, que muestren los datos de “EE.UU” y “Canadá” para el periodo 2000-2014

##clave 03 #1. Construya una función que le permita elegir el país y filtrar para un periodo(inicio,final), muestre su uso filtrando los datos para Honduras, en el periodo de 1990-2014.

#Función consulta_pais, para un periodo especifico
options(scipen = 999999)
#Función consulta pais, para un periodo especifico
funcion_consulta_pais<-function(iso_pais,anio_inicio,anio_final){
 enquo(iso_pais)->iso_pais
 pwt9.0 %>% filter(isocode==!!iso_pais,
 year>=anio_inicio,
 year<=anio_final)->df
 return(df)
}
# probando la función con HONDURAS, codigo iso 3 "HND",
# para el periodo 1990-2014
funcion_consulta_pais(iso_pais = "HND",1990,2014) %>%
 kable(caption = "Probando Función consulta paises, HND 1990-2014",
 digits = 1,align = "l") %>%
 kable_styling(bootstrap_options = "striped",
 full_width = TRUE)

Probando Función consulta paises, HND 1990-2014

	country	isocode	year	currency	rgdpe	rgdpo	pop	emp	avh	hc	ccon	cda	cgdpe	cgdpo	ck	ctfp	cwtfp	rgdpna	rconna	rdana	rkna	rtfpna	rwtfpna	labsh	delta	xr	pl_con	pl_da	pl_gdpo	i_cig	i_xm	i_xr	i_outlier	cor_exp	statcap	csh_c	csh_i	csh_g	csh_x	csh_m	csh_r	pl_c	pl_i	pl_g	pl_x	pl_m	pl_k
HND-1990	Honduras	HND	1990	Lempira	13869.7	14480.0	4.9	1.2	NA	1.8	12349.6	14292.9	14019.5	14777.8	24019.2	0.6	0.6	15670.5	14036.9	16844.1	46727.6	1.2	1.2	0.6	0.0	4.1	0.2	0.3	0.2	interpolated	benchmark	market	no	NA	NA	0.7	0.1	0.1	0.1	-0.1	0.1	0.2	0.4	0.3	0.5	0.5	0.4
HND-1991	Honduras	HND	1991	Lempira	14668.8	15217.2	5.0	1.5	NA	1.8	12721.9	15095.5	14801.8	15593.7	24835.8	0.6	0.5	16180.1	14378.0	17783.9	48069.2	1.1	1.0	0.6	0.0	5.3	0.2	0.2	0.2	interpolated	benchmark	market	no	NA	NA	0.7	0.2	0.1	0.1	-0.1	0.1	0.2	0.4	0.3	0.5	0.5	0.4
HND-1992	Honduras	HND	1992	Lempira	15327.7	15702.4	5.2	1.7	NA	1.8	13162.2	15913.1	15452.5	15956.8	26166.6	0.5	0.5	17090.1	14913.3	18787.8	50292.8	1.1	1.0	0.6	0.0	5.5	0.2	0.3	0.3	interpolated	benchmark	market	no	NA	NA	0.7	0.2	0.1	0.1	-0.1	0.0	0.2	0.4	0.3	0.5	0.5	0.4
HND-1993	Honduras	HND	1993	Lempira	15933.6	17007.8	5.3	1.7	NA	1.8	13556.2	17219.0	16058.7	17298.6	28826.0	0.5	0.5	18154.8	15235.9	20400.8	53997.6	1.1	1.1	0.6	0.1	6.5	0.2	0.3	0.2	interpolated	benchmark	market	no	NA	NA	0.7	0.2	0.1	0.1	-0.2	0.1	0.2	0.4	0.3	0.5	0.5	0.4
HND-1994	Honduras	HND	1994	Lempira	16221.7	17431.8	5.5	1.8	NA	1.8	13626.8	17519.9	16247.2	17766.1	31566.0	0.5	0.5	17918.2	15181.7	20793.2	57416.0	1.0	1.0	0.6	0.1	8.4	0.2	0.3	0.2	interpolated	benchmark	market	no	NA	NA	0.7	0.2	0.1	0.1	-0.2	0.1	0.2	0.4	0.3	0.5	0.5	0.3
HND-1995	Honduras	HND	1995	Lempira	17476.4	19391.9	5.6	1.8	NA	1.8	13971.4	17967.3	17503.1	19796.2	33959.8	0.5	0.5	18649.3	15343.4	21133.8	59647.0	1.0	1.0	0.6	0.1	9.5	0.2	0.3	0.2	interpolated	benchmark	market	no	NA	NA	0.6	0.2	0.1	0.1	-0.2	0.2	0.2	0.3	0.4	0.5	0.5	0.4
HND-1996	Honduras	HND	1996	Lempira	17991.7	18534.6	5.7	2.0	NA	1.8	14862.3	18612.0	17993.6	18919.2	36097.2	0.5	0.5	19316.6	16146.4	21565.4	62041.0	1.0	1.0	0.6	0.1	11.7	0.2	0.3	0.3	interpolated	benchmark	market	no	NA	NA	0.7	0.2	0.1	0.1	-0.2	0.1	0.2	0.4	0.4	0.6	0.5	0.4
HND-1997	Honduras	HND	1997	Lempira	18783.4	19283.0	5.9	2.1	NA	1.8	15261.0	19375.8	18662.3	19602.3	38920.0	0.5	0.4	20281.2	16564.7	22439.0	65095.4	1.0	0.9	0.6	0.1	13.0	0.3	0.3	0.3	interpolated	benchmark	market	no	NA	NA	0.7	0.2	0.1	0.1	-0.2	0.1	0.3	0.4	0.4	0.5	0.5	0.4
HND-1998	Honduras	HND	1998	Lempira	19437.3	19877.3	6.0	2.1	NA	1.9	16084.1	20327.3	19169.8	20236.4	42338.4	0.4	0.4	20869.7	17542.5	23514.3	68522.9	1.0	0.9	0.6	0.1	13.4	0.3	0.3	0.3	interpolated	benchmark	market	no	NA	NA	0.7	0.2	0.1	0.2	-0.3	0.1	0.3	0.4	0.5	0.5	0.5	0.4
HND-1999	Honduras	HND	1999	Lempira	18722.7	19555.4	6.1	2.3	NA	1.9	16175.8	20880.7	18457.6	19883.2	46072.1	0.4	0.4	20475.4	17648.5	24128.7	72088.2	0.9	0.9	0.6	0.1	14.2	0.3	0.4	0.3	interpolated	benchmark	market	no	NA	60.6	0.7	0.2	0.1	0.1	-0.3	0.1	0.3	0.4	0.5	0.5	0.5	0.4
HND-2000	Honduras	HND	2000	Lempira	20014.3	21004.3	6.2	2.3	NA	1.9	17440.5	22230.8	19769.9	21097.9	49552.6	0.4	0.4	21652.3	19076.1	25351.3	74802.0	0.9	0.9	0.6	0.1	14.8	0.3	0.4	0.3	interpolated	benchmark	market	no	NA	NA	0.7	0.2	0.1	0.1	-0.2	0.1	0.3	0.4	0.5	0.5	0.5	0.4
HND-2001	Honduras	HND	2001	Lempira	20637.6	21337.6	6.4	2.3	NA	1.9	18379.9	23177.1	20478.2	21473.4	52978.8	0.4	0.4	22242.0	19999.8	26028.0	77193.2	0.9	0.9	0.6	0.1	15.5	0.4	0.4	0.4	interpolated	benchmark	market	no	NA	NA	0.8	0.2	0.1	0.1	-0.3	0.0	0.3	0.4	0.5	0.4	0.5	0.4
HND-2002	Honduras	HND	2002	Lempira	21429.9	22322.8	6.5	2.3	NA	1.9	19132.1	23977.6	21306.5	22633.9	56023.2	0.4	0.4	23077.0	20740.8	26554.2	79013.1	1.0	1.0	0.6	0.1	16.4	0.4	0.4	0.3	interpolated	benchmark	market	no	NA	NA	0.8	0.2	0.1	0.1	-0.3	0.1	0.3	0.4	0.6	0.5	0.5	0.4
HND-2003	Honduras	HND	2003	Lempira	22293.7	23442.7	6.6	2.4	NA	1.9	20103.3	25232.9	22122.4	23866.7	59671.4	0.4	0.4	24126.3	21693.0	27731.2	81101.3	1.0	1.0	0.6	0.1	17.3	0.4	0.4	0.3	interpolated	benchmark	market	no	NA	NA	0.7	0.2	0.1	0.1	-0.3	0.1	0.3	0.4	0.5	0.5	0.5	0.4
HND-2004	Honduras	HND	2004	Lempira	23503.4	24886.9	6.8	2.4	NA	2.0	21223.1	27632.3	23295.6	25364.9	65749.5	0.4	0.4	25629.9	22787.2	30171.7	84672.6	1.0	1.0	0.6	0.1	18.2	0.4	0.4	0.3	interpolated	benchmark	market	no	NA	63.9	0.7	0.3	0.1	0.1	-0.3	0.1	0.3	0.4	0.6	0.5	0.5	0.4
HND-2005	Honduras	HND	2005	Lempira	24863.1	27339.3	6.9	2.5	NA	2.0	23171.7	29687.9	25057.7	27758.7	72955.4	0.4	0.4	27180.8	24338.4	31628.4	87856.1	1.0	1.0	0.6	0.1	18.8	0.4	0.4	0.4	interpolated	benchmark	market	no	NA	63.3	0.7	0.2	0.1	0.1	-0.3	0.1	0.4	0.4	0.5	0.5	0.5	0.4
HND-2006	Honduras	HND	2006	Lempira	26591.9	28317.3	7.0	2.6	NA	2.0	25053.5	32155.2	26569.6	28826.4	81215.1	0.4	0.4	28965.8	26253.9	34069.2	91934.2	1.0	1.0	0.6	0.1	18.9	0.4	0.4	0.4	interpolated	benchmark	market	no	NA	63.3	0.8	0.2	0.1	0.1	-0.3	0.1	0.4	0.4	0.6	0.6	0.6	0.4
HND-2007	Honduras	HND	2007	Lempira	28196.9	30212.6	7.1	2.8	NA	2.0	26953.7	35926.3	28055.9	30818.3	89601.1	0.4	0.4	30758.2	28137.4	37910.0	98000.6	1.0	1.1	0.6	0.1	18.9	0.4	0.4	0.4	interpolated	benchmark	market	no	NA	70.0	0.8	0.3	0.1	0.1	-0.3	0.1	0.4	0.5	0.6	0.6	0.6	0.4
HND-2008	Honduras	HND	2008	Lempira	28689.7	29158.4	7.3	2.8	NA	2.0	28240.2	38256.5	28743.0	29235.6	97798.8	0.4	0.4	32059.9	29045.7	39696.9	104314.8	1.1	1.1	0.6	0.1	18.9	0.5	0.5	0.5	interpolated	benchmark	market	no	NA	73.3	0.8	0.3	0.1	0.3	-0.5	-0.1	0.5	0.5	0.7	0.7	0.7	0.4
HND-2009	Honduras	HND	2009	Lempira	29242.9	29286.4	7.4	2.9	NA	2.0	28587.6	34253.8	29066.9	29677.8	100695.9	0.3	0.4	31280.2	29424.5	35252.2	105943.4	1.0	1.0	0.6	0.1	18.9	0.5	0.5	0.5	interpolated	benchmark	market	no	NA	77.8	0.8	0.2	0.1	0.1	-0.3	0.0	0.5	0.5	0.7	0.7	0.6	0.4
HND-2010	Honduras	HND	2010	Lempira	30846.4	31120.9	7.5	2.9	NA	2.1	29819.8	36243.6	30734.7	31326.9	104274.6	0.3	0.4	32447.4	30233.1	36788.3	107767.7	1.0	1.0	0.6	0.1	18.9	0.5	0.5	0.5	interpolated	benchmark	market	no	NA	77.8	0.8	0.2	0.1	0.1	-0.4	0.1	0.5	0.5	0.7	0.7	0.6	0.4
HND-2011	Honduras	HND	2011	Lempira	32806.5	33691.9	7.6	3.1	NA	2.1	31070.4	39269.9	32806.5	33691.9	110959.4	0.3	0.4	33691.9	31070.4	39269.9	110959.4	1.0	1.0	0.6	0.1	18.9	0.5	0.5	0.5	benchmark	benchmark	market	no	0.6	77.8	0.8	0.2	0.1	0.1	-0.4	0.1	0.5	0.6	0.7	0.7	0.6	0.5
HND-2012	Honduras	HND	2012	Lempira	33773.0	34602.0	7.7	3.2	NA	2.1	32356.3	40233.3	33701.1	34306.4	114260.5	0.3	0.4	35083.0	32295.1	40251.7	114391.2	1.0	1.0	0.6	0.1	19.5	0.5	0.5	0.5	extrapolated	benchmark	market	no	NA	76.0	0.8	0.2	0.1	0.2	-0.4	0.0	0.5	0.6	0.8	0.7	0.7	0.5
HND-2013	Honduras	HND	2013	Lempira	33759.9	33670.3	7.8	3.3	NA	2.2	33565.7	40386.9	33537.5	33307.6	118671.2	0.3	0.4	36062.3	33478.7	40477.3	117494.7	1.0	0.9	0.6	0.1	20.3	0.5	0.6	0.6	extrapolated	benchmark	market	no	NA	62.2	0.9	0.2	0.1	0.3	-0.4	-0.1	0.5	0.6	0.8	0.7	0.6	0.4
HND-2014	Honduras	HND	2014	Lempira	35219.2	34835.7	8.0	3.4	NA	2.2	34384.1	41614.7	35008.4	34377.6	123703.3	0.3	0.4	37174.9	34161.5	41649.4	120378.6	1.0	0.9	0.6	0.1	21.0	0.5	0.6	0.6	extrapolated	benchmark	market	no	NA	73.3	0.9	0.2	0.1	0.3	-0.5	-0.1	0.5	0.6	0.8	0.7	0.6	0.4

2. Construya una función que le permita elegir todas las variables de la categoría “Capital detail”, muestre su uso para los datos de Panamá

#Función capital_details
funcion_capital_detail<-function(iso_pais,anio){
 enquo(iso_pais)->iso_pais
 pwt9.0 %>% filter(isocode==!!iso_pais)
}
# probando la función con PANAMA, codigo iso 3 "PAN",

funcion_capital_detail(iso_pais = "ARG") %>%
 kable(caption = "Probando Función consulta paises, PAN",
 digits = 1,align = "l") %>%
 kable_styling(bootstrap_options = "striped",
 full_width = TRUE)

Probando Función consulta paises, PAN

	country	isocode	year	currency	rgdpe	rgdpo	pop	emp	avh	hc	ccon	cda	cgdpe	cgdpo	ck	ctfp	cwtfp	rgdpna	rconna	rdana	rkna	rtfpna	rwtfpna	labsh	delta	xr	pl_con	pl_da	pl_gdpo	i_cig	i_xm	i_xr	i_outlier	cor_exp	statcap	csh_c	csh_i	csh_g	csh_x	csh_m	csh_r	pl_c	pl_i	pl_g	pl_x	pl_m	pl_k
ARG-1950	Argentina	ARG	1950	Argentine Peso	49589.3	48987.6	17.2	6.5	2034.0	1.8	44196.5	48665.1	49566.1	50750.0	57509.3	0.7	0.7	153269.5	115974.9	128281.0	272087.3	0.9	0.8	0.5	0.0	0.0	0.2	0.2	0.2	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	-0.1	0	0.2	0.5	0.3	0.1	0.1	0.5
ARG-1951	Argentina	ARG	1951	Argentine Peso	51958.6	50321.7	17.5	6.7	2037.9	1.8	45191.0	51980.8	51969.6	52103.1	61940.0	0.7	0.7	162321.9	118898.0	140619.7	286250.3	0.9	0.8	0.5	0.0	0.0	0.2	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	-0.1	0	0.2	0.4	0.3	0.2	0.1	0.5
ARG-1952	Argentina	ARG	1952	Argentine Peso	47026.3	45890.6	17.9	6.8	2041.7	1.8	42259.5	48331.0	46903.5	47361.8	65282.9	0.6	0.6	152653.7	112429.3	130408.9	294574.8	0.8	0.7	0.5	0.0	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	-0.1	0	0.3	0.4	0.3	0.1	0.1	0.5
ARG-1953	Argentina	ARG	1953	Argentine Peso	48872.8	48772.7	18.2	6.9	2045.6	1.9	42266.4	48688.5	48805.4	50376.1	67051.5	0.6	0.6	159095.5	111989.7	131589.7	303104.2	0.9	0.7	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	0.0	0	0.3	0.4	0.3	0.1	0.1	0.5
ARG-1954	Argentina	ARG	1954	Argentine Peso	51117.5	51031.8	18.6	7.0	2049.5	1.9	45468.2	51605.5	50934.8	52582.3	67107.3	0.6	0.6	164275.7	120515.2	138876.4	309455.2	0.9	0.7	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	0.0	0	0.3	0.4	0.4	0.1	0.1	0.5
ARG-1955	Argentina	ARG	1955	Argentine Peso	55854.7	54874.7	18.9	7.1	2053.4	1.9	49907.4	56732.2	55388.4	56293.7	68349.9	0.6	0.6	175750.1	132510.3	153271.2	317486.1	0.9	0.8	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	-0.1	0	0.3	0.4	0.4	0.1	0.1	0.5
ARG-1956	Argentina	ARG	1956	Argentine Peso	57230.1	56284.2	19.3	7.2	2057.3	1.9	49249.9	55738.0	56411.9	57359.5	71089.7	0.6	0.6	180385.1	132301.5	151415.4	322676.3	0.9	0.8	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	0.0	0	0.3	0.4	0.3	0.2	0.2	0.5
ARG-1957	Argentina	ARG	1957	Argentine Peso	59882.9	59188.2	19.6	7.3	2061.2	1.9	51866.7	59086.1	58894.8	60120.8	73226.9	0.6	0.6	187317.2	139720.6	161017.7	329198.7	0.9	0.8	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	0.0	0	0.3	0.4	0.3	0.2	0.2	0.5
ARG-1958	Argentina	ARG	1958	Argentine Peso	64495.2	63697.4	20.0	7.4	2065.1	1.9	55623.1	63523.8	63422.4	64705.1	73912.4	0.7	0.6	199688.6	149917.9	173101.9	336580.3	1.0	0.8	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	0.0	0	0.3	0.5	0.4	0.2	0.2	0.6
ARG-1959	Argentina	ARG	1959	Argentine Peso	61158.3	60043.2	20.3	7.5	2069.1	1.9	51187.8	58398.2	59814.2	60700.8	74841.0	0.6	0.6	190017.8	139109.5	160115.6	339898.6	0.9	0.8	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	0.0	0	0.3	0.4	0.3	0.2	0.3	0.5
ARG-1960	Argentina	ARG	1960	Argentine Peso	66006.8	64673.6	20.6	7.6	2073.0	2.0	53459.5	63818.4	65066.6	65393.7	74654.3	0.6	0.6	210664.0	143514.2	176761.8	354264.6	1.0	0.8	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.7	0.2	0.1	0.1	-0.1	0	0.3	0.4	0.3	0.2	0.2	0.5
ARG-1961	Argentina	ARG	1961	Argentine Peso	69125.4	66844.8	21.0	7.7	2066.2	2.0	57061.0	67936.3	68343.9	67767.3	78036.5	0.6	0.6	217519.1	151319.2	188086.5	369549.6	1.0	0.8	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.2	0.1	0.1	-0.1	0	0.3	0.5	0.3	0.2	0.2	0.6
ARG-1962	Argentina	ARG	1962	Argentine Peso	65920.7	67655.3	21.3	7.8	2059.4	2.0	57727.4	67450.8	65139.3	68757.9	79482.5	0.6	0.6	218910.8	152628.1	185561.9	379242.4	1.0	0.8	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	-0.1	0	0.3	0.4	0.4	0.1	0.3	0.5
ARG-1963	Argentina	ARG	1963	Argentine Peso	65368.5	65443.9	21.6	7.9	2052.7	2.0	55734.7	63794.2	64344.5	66485.7	78638.9	0.6	0.6	210872.3	148284.5	175084.6	381803.7	0.9	0.8	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	0.0	0	0.3	0.4	0.4	0.2	0.3	0.5
ARG-1964	Argentina	ARG	1964	Argentine Peso	69836.6	68879.1	22.0	8.0	2045.9	2.0	59449.8	69856.5	68476.3	69701.4	79273.6	0.6	0.6	227261.8	159055.4	193930.9	393367.9	1.0	0.8	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	-0.1	0	0.3	0.4	0.3	0.2	0.2	0.6
ARG-1965	Argentina	ARG	1965	Argentine Peso	80459.2	77556.7	22.3	8.1	2039.2	2.0	67332.0	78074.0	78841.7	78394.8	81756.4	0.6	0.6	248167.5	180165.5	215880.3	406033.3	1.0	0.9	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	-0.1	0	0.3	0.5	0.3	0.2	0.2	0.6
ARG-1966	Argentina	ARG	1966	Argentine Peso	80040.9	79047.1	22.6	8.2	2032.5	2.0	66558.8	76863.5	78401.1	79967.9	84346.8	0.6	0.6	248753.2	178110.3	212325.1	418126.2	1.0	0.9	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	estimated	no	NA	NA	0.8	0.1	0.1	0.1	0.0	0	0.3	0.5	0.4	0.2	0.2	0.6
ARG-1967	Argentina	ARG	1967	Argentine Peso	83599.0	81800.0	22.9	8.3	2025.9	2.0	69076.4	79657.5	82110.7	82972.8	87191.4	0.6	0.6	255686.6	183755.1	219318.4	432138.7	1.0	0.9	0.5	0.1	0.0	0.3	0.3	0.3	extrapolated	extrapolated	market	no	NA	NA	0.8	0.1	0.1	0.1	0.0	0	0.3	0.5	0.4	0.2	0.3	0.6
ARG-1968	Argentina	ARG	1968	Argentine Peso	86008.8	84209.7	23.3	8.4	2019.2	2.0	72181.6	83623.9	84618.2	85573.6	90599.0	0.6	0.6	268893.9	191721.5	230735.3	450391.6	1.0	0.9	0.5	0.1	0.0	0.3	0.4	0.4	extrapolated	extrapolated	market	no	NA	NA	0.8	0.1	0.1	0.1	0.0	0	0.3	0.5	0.4	0.3	0.3	0.7
ARG-1969	Argentina	ARG	1969	Argentine Peso	93610.0	92424.1	23.6	8.5	2012.6	2.1	76901.0	91107.1	91819.2	93621.6	97227.8	0.7	0.6	293540.4	205037.3	254015.0	478651.3	1.1	0.9	0.5	0.1	0.0	0.4	0.4	0.4	extrapolated	extrapolated	market	no	NA	NA	0.8	0.2	0.1	0.1	0.0	0	0.4	0.6	0.5	0.2	0.3	0.7
ARG-1970	Argentina	ARG	1970	Argentine Peso	95479.4	95035.7	24.0	8.6	2006.0	2.1	77854.9	92530.3	93436.2	96162.2	103105.8	0.7	0.6	302924.0	208462.7	258571.5	507496.5	1.1	0.9	0.5	0.1	0.0	0.4	0.4	0.4	extrapolated	extrapolated	market	no	NA	NA	0.7	0.2	0.1	0.1	-0.1	0	0.4	0.6	0.5	0.2	0.3	0.7
ARG-1971	Argentina	ARG	1971	Argentine Peso	99901.8	98051.9	24.4	8.6	2002.7	2.1	80738.4	97204.3	97439.5	98853.5	110420.7	0.6	0.6	314320.1	217571.8	273586.4	540189.1	1.1	0.9	0.5	0.1	0.0	0.4	0.5	0.5	extrapolated	extrapolated	market	no	NA	NA	0.7	0.2	0.1	0.1	-0.1	0	0.4	0.6	0.5	0.3	0.3	0.8
ARG-1972	Argentina	ARG	1972	Argentine Peso	102289.2	99798.4	24.8	8.7	1999.3	2.1	81579.8	98280.0	99306.8	100243.7	117993.6	0.6	0.6	320848.5	221061.9	277641.5	572814.4	1.1	0.9	0.5	0.1	0.0	0.4	0.4	0.4	extrapolated	extrapolated	estimated	no	NA	NA	0.7	0.2	0.1	0.0	0.0	0	0.4	0.6	0.5	0.3	0.4	0.7
ARG-1973	Argentina	ARG	1973	Argentine Peso	108064.7	105425.3	25.2	8.8	1996.0	2.1	84356.8	100455.2	104255.3	105296.7	125268.2	0.6	0.6	332866.0	231009.9	284380.6	599764.5	1.1	0.9	0.5	0.1	0.0	0.4	0.4	0.4	extrapolated	extrapolated	estimated	no	NA	NA	0.7	0.2	0.1	0.0	0.0	0	0.4	0.6	0.6	0.3	0.3	0.7
ARG-1974	Argentina	ARG	1974	Argentine Peso	113038.7	110358.5	25.6	9.1	1992.8	2.2	90250.8	107093.7	109558.2	110699.1	134567.6	0.6	0.6	350859.5	247436.8	300945.7	628631.4	1.1	0.9	0.5	0.0	0.0	0.5	0.5	0.5	extrapolated	extrapolated	estimated	no	NA	NA	0.7	0.2	0.1	0.0	0.0	0	0.4	0.6	0.7	0.3	0.3	0.8
ARG-1975	Argentina	ARG	1975	Argentine Peso	111643.7	108928.8	26.1	9.2	1989.7	2.2	90029.8	107580.9	108409.9	109256.1	142748.5	0.6	0.6	348777.8	247385.2	302213.7	657108.1	1.0	0.9	0.5	0.0	0.0	0.5	0.5	0.5	extrapolated	extrapolated	estimated	no	NA	NA	0.7	0.2	0.1	0.1	-0.1	0	0.4	0.9	0.8	0.3	0.3	1.1
ARG-1976	Argentina	ARG	1976	Argentine Peso	110320.3	108897.0	26.5	9.2	1986.5	2.2	83006.1	101598.3	106698.6	108981.9	149980.6	0.6	0.6	348736.3	230064.9	292520.4	691774.1	1.0	0.9	0.5	0.0	0.0	0.5	0.6	0.6	extrapolated	extrapolated	estimated	no	NA	NA	0.7	0.2	0.1	0.1	0.0	0	0.5	0.9	0.6	0.3	0.4	1.1
ARG-1977	Argentina	ARG	1977	Argentine Peso	114844.1	116226.1	26.9	9.4	1983.4	2.2	85170.3	107336.4	111169.0	116397.4	163067.0	0.6	0.6	371007.2	235079.5	314150.1	739455.6	1.0	0.9	0.5	0.0	0.0	0.5	0.6	0.6	extrapolated	extrapolated	estimated	no	NA	NA	0.7	0.2	0.1	0.1	-0.1	0	0.5	0.9	0.6	0.3	0.5	1.0
ARG-1978	Argentina	ARG	1978	Argentine Peso	111297.9	114318.6	27.3	9.5	1980.3	2.2	83845.4	102467.5	107594.8	113910.1	174031.4	0.6	0.5	359051.8	232018.2	296558.5	775191.0	1.0	0.8	0.5	0.0	0.0	0.6	0.7	0.6	extrapolated	extrapolated	estimated	no	NA	NA	0.7	0.2	0.1	0.1	-0.1	0	0.6	0.9	0.8	0.3	0.4	1.1
ARG-1979	Argentina	ARG	1979	Argentine Peso	121546.7	121946.6	27.7	9.6	1977.1	2.2	95949.9	116240.3	117546.7	121829.0	186264.8	0.6	0.6	384246.9	264066.5	334843.6	814771.1	1.0	0.9	0.5	0.0	0.0	0.6	0.7	0.7	extrapolated	extrapolated	estimated	no	NA	NA	0.7	0.2	0.1	0.1	-0.1	0	0.6	0.9	0.8	0.2	0.3	1.1
ARG-1980	Argentina	ARG	1980	Argentine Peso	128656.7	123486.8	28.1	9.6	1974.0	2.3	104426.3	126584.2	125302.8	123801.3	198601.1	0.6	0.6	389832.8	284214.9	361596.2	857415.8	1.0	0.9	0.5	0.0	0.0	0.7	0.7	0.7	benchmark	extrapolated	estimated	no	0.6	NA	0.8	0.2	0.1	0.1	-0.1	0	0.6	1.0	1.0	0.2	0.2	1.1
ARG-1981	Argentina	ARG	1981	Argentine Peso	127595.1	124252.8	28.5	9.7	1961.2	2.3	104824.0	124706.2	124441.9	124345.6	218197.2	0.6	0.6	368715.7	274387.7	339306.5	886926.0	0.9	0.8	0.5	0.0	0.0	0.7	0.8	0.8	interpolated	extrapolated	estimated	no	NA	NA	0.8	0.2	0.1	0.1	-0.1	0	0.7	1.0	1.0	0.3	0.3	1.1
ARG-1982	Argentina	ARG	1982	Argentine Peso	127662.0	129667.3	29.0	9.8	1948.5	2.3	104490.6	121499.9	124978.2	130091.6	235138.4	0.6	0.6	357059.7	262300.8	312416.3	902944.6	0.9	0.8	0.5	0.0	0.0	0.7	0.8	0.7	interpolated	extrapolated	estimated	no	NA	NA	0.7	0.1	0.1	0.1	-0.1	0	0.7	1.2	1.0	0.4	0.5	1.3
ARG-1983	Argentina	ARG	1983	Argentine Peso	139502.8	140620.1	29.5	10.1	1935.9	2.4	114022.0	131910.1	136673.3	141326.8	247653.3	0.6	0.6	371743.2	273958.6	323634.2	919660.5	0.9	0.8	0.5	0.0	0.0	0.7	0.8	0.7	interpolated	extrapolated	estimated	no	NA	NA	0.7	0.1	0.1	0.1	-0.1	0	0.7	1.1	1.0	0.4	0.5	1.3
ARG-1984	Argentina	ARG	1984	Argentine Peso	148994.6	149928.6	29.9	10.3	1923.4	2.4	123364.9	141340.8	145588.0	150490.9	262313.6	0.6	0.6	379198.5	284824.7	331102.0	933932.4	0.9	0.8	0.5	0.0	0.0	0.7	0.8	0.7	interpolated	benchmark	estimated	no	NA	NA	0.7	0.1	0.1	0.1	-0.1	0	0.7	1.1	1.0	0.4	0.4	1.3
ARG-1985	Argentina	ARG	1985	Argentine Peso	142946.0	146209.6	30.4	10.4	1911.0	2.4	116254.7	132663.4	140244.7	147517.9	279101.9	0.6	0.5	352821.2	257039.5	296118.9	940615.9	0.8	0.7	0.5	0.0	0.0	0.7	0.8	0.7	interpolated	benchmark	market	no	NA	NA	0.7	0.1	0.1	0.2	-0.1	0	0.7	1.1	0.9	0.4	0.4	1.2
ARG-1986	Argentina	ARG	1986	Argentine Peso	162835.4	163147.7	30.9	10.7	1898.6	2.4	137733.1	157113.8	159860.3	163067.0	305964.5	0.6	0.5	378025.4	287773.1	331053.1	952417.2	0.8	0.7	0.5	0.0	0.0	0.8	0.8	0.8	interpolated	benchmark	market	no	NA	NA	0.8	0.1	0.1	0.1	-0.1	0	0.7	1.1	1.0	0.4	0.5	1.2
ARG-1987	Argentina	ARG	1987	Argentine Peso	175065.1	173890.6	31.3	11.0	1886.3	2.5	147631.4	171153.1	171691.0	173066.6	336762.6	0.6	0.6	387599.9	293595.3	343823.7	970684.1	0.8	0.8	0.5	0.0	0.0	0.7	0.8	0.8	interpolated	benchmark	market	no	NA	NA	0.8	0.1	0.1	0.1	-0.1	0	0.7	1.0	0.9	0.5	0.5	1.1
ARG-1988	Argentina	ARG	1988	Argentine Peso	183604.2	184885.2	31.8	11.2	1874.1	2.5	149780.1	174252.6	180219.2	184254.7	370912.8	0.6	0.5	380031.1	281965.1	330467.9	986288.9	0.8	0.7	0.5	0.0	0.0	0.8	0.8	0.8	interpolated	benchmark	market	no	NA	NA	0.7	0.1	0.1	0.1	-0.1	0	0.8	1.1	1.0	0.5	0.5	1.2
ARG-1989	Argentina	ARG	1989	Argentine Peso	180500.6	178384.1	32.3	11.3	1862.0	2.5	145769.0	166338.5	177484.6	178125.2	403987.6	0.5	0.5	353388.8	259243.5	295830.2	990143.5	0.8	0.6	0.5	0.0	0.0	0.5	0.5	0.5	interpolated	benchmark	market	no	NA	NA	0.7	0.1	0.1	0.1	0.0	0	0.5	0.6	0.5	0.5	0.5	0.7
ARG-1990	Argentina	ARG	1990	Argentine Peso	194594.7	199708.3	32.7	11.6	1850.0	2.5	165232.2	183638.2	194129.8	201766.7	440458.2	0.6	0.5	348658.3	263743.4	293106.9	987685.9	0.7	0.6	0.5	0.0	0.5	0.8	0.9	0.8	interpolated	benchmark	market	no	NA	NA	0.8	0.1	0.1	0.1	0.0	0	0.8	1.2	1.5	0.5	0.5	1.3
ARG-1991	Argentina	ARG	1991	Argentine Peso	233984.2	235515.3	33.2	12.0	1838.0	2.6	202561.8	229998.1	232933.2	235912.8	489520.9	0.6	0.6	385253.6	300751.1	340948.6	997420.9	0.8	0.7	0.5	0.0	1.0	1.0	1.0	1.0	interpolated	benchmark	market	no	NA	NA	0.8	0.1	0.1	0.1	-0.1	0	0.9	1.1	1.9	0.6	0.6	1.2
ARG-1992	Argentina	ARG	1992	Argentine Peso	281707.6	277855.8	33.7	12.1	1826.0	2.6	243088.8	284944.9	280012.8	279556.9	559911.3	0.7	0.7	424952.1	341605.1	396540.5	1022459.0	0.9	0.8	0.5	0.0	1.0	1.0	1.0	1.0	interpolated	benchmark	market	no	NA	NA	0.8	0.1	0.1	0.1	-0.1	0	0.9	1.0	1.5	0.5	0.5	1.1
ARG-1993	Argentina	ARG	1993	Argentine Peso	325385.7	320473.9	34.1	12.1	1850.3	2.6	274640.2	331114.1	323284.4	320980.2	669640.2	0.7	0.7	451518.8	360504.0	425050.5	1061497.9	0.9	0.8	0.5	0.0	1.0	0.9	0.9	0.9	interpolated	benchmark	market	no	NA	NA	0.8	0.2	0.1	0.1	-0.1	0	0.8	0.9	1.2	0.5	0.5	1.0
ARG-1994	Argentina	ARG	1994	Argentine Peso	379470.2	372903.0	34.6	12.1	1875.0	2.6	315779.1	389269.5	375305.3	372981.6	828229.2	0.7	0.8	477870.5	379528.1	453621.2	1104743.8	0.9	0.9	0.5	0.0	1.0	0.8	0.8	0.8	interpolated	benchmark	market	no	NA	NA	0.7	0.2	0.1	0.1	-0.1	0	0.8	0.8	1.0	0.5	0.6	0.8
ARG-1995	Argentina	ARG	1995	Argentine Peso	419159.1	416118.8	35.0	11.5	1897.2	2.6	340894.6	417030.6	414738.3	416185.7	1053556.9	0.8	0.8	464273.8	365529.7	429158.4	1134617.5	0.9	0.8	0.5	0.0	1.0	0.8	0.7	0.7	interpolated	benchmark	market	no	NA	NA	0.7	0.2	0.1	0.1	-0.1	0	0.8	0.7	0.7	0.6	0.6	0.7
ARG-1996	Argentina	ARG	1996	Argentine Peso	537693.3	532989.8	35.4	11.8	1846.1	2.6	426053.2	529961.0	530439.6	530883.3	1390282.6	0.9	0.8	489932.7	384072.7	453648.0	1170010.4	0.9	0.9	0.4	0.0	1.0	0.6	0.6	0.6	benchmark	benchmark	market	no	0.5	NA	0.6	0.2	0.2	0.1	-0.1	0	0.7	0.5	0.4	0.6	0.6	0.5
ARG-1997	Argentina	ARG	1997	Argentine Peso	560207.2	553420.7	35.8	12.4	1917.3	2.6	442205.6	560620.8	551904.4	551406.4	1400468.8	0.8	0.8	529671.4	415632.5	498146.2	1217761.8	0.9	0.9	0.4	0.0	1.0	0.7	0.6	0.6	interpolated	benchmark	market	no	NA	NA	0.6	0.2	0.2	0.1	-0.1	0	0.7	0.5	0.4	0.6	0.6	0.6
ARG-1998	Argentina	ARG	1998	Argentine Peso	564924.8	554934.2	36.2	12.9	1903.0	2.6	444545.0	566039.8	553853.5	553125.9	1424251.4	0.8	0.8	550064.8	430012.9	518130.7	1269080.9	0.9	0.9	0.4	0.0	1.0	0.7	0.6	0.6	interpolated	benchmark	market	no	NA	NA	0.7	0.2	0.1	0.1	-0.1	0	0.7	0.6	0.5	0.5	0.5	0.6
ARG-1999	Argentina	ARG	1999	Argentine Peso	530878.6	523007.4	36.6	13.0	1893.2	2.6	430989.8	534649.2	521036.1	522478.2	1433022.8	0.7	0.7	531442.6	424051.4	500324.4	1305226.8	0.9	0.8	0.5	0.0	1.0	0.7	0.7	0.6	interpolated	benchmark	market	no	NA	68.3	0.7	0.2	0.1	0.1	-0.1	0	0.7	0.6	0.6	0.5	0.5	0.6
ARG-2000	Argentina	ARG	2000	Argentine Peso	525824.8	520440.7	37.1	13.1	1861.0	2.7	421606.6	517902.7	517365.1	520203.2	1431154.5	0.7	0.7	527249.5	421988.0	492747.2	1334261.5	0.9	0.8	0.5	0.0	1.0	0.7	0.7	0.7	interpolated	benchmark	market	no	NA	NA	0.7	0.2	0.1	0.1	-0.1	0	0.7	0.5	0.6	0.5	0.5	0.6
ARG-2001	Argentina	ARG	2001	Argentine Peso	491117.4	489405.2	37.5	13.0	1803.4	2.7	395487.1	475983.8	485221.2	490409.9	1412692.1	0.7	0.7	504004.0	399949.9	459249.2	1350421.0	0.8	0.8	0.5	0.0	1.0	0.7	0.7	0.7	interpolated	benchmark	market	no	NA	NA	0.7	0.2	0.1	0.1	-0.1	0	0.7	0.5	0.7	0.5	0.5	0.6
ARG-2002	Argentina	ARG	2002	Argentine Peso	453929.7	421078.2	37.9	13.0	1610.6	2.7	339499.8	390483.7	449011.2	422775.6	1330856.4	0.7	0.6	449095.3	347634.6	382853.2	1340429.5	0.8	0.7	0.4	0.0	3.1	0.3	0.3	0.3	interpolated	benchmark	market	no	NA	NA	0.7	0.1	0.1	0.1	0.0	0	0.3	0.3	0.3	0.5	0.5	0.3
ARG-2003	Argentina	ARG	2003	Argentine Peso	479253.2	456466.5	38.3	13.7	1719.4	2.7	361385.0	429605.3	474079.8	454726.8	1326432.2	0.7	0.6	488782.1	372779.6	425665.2	1349205.2	0.8	0.7	0.4	0.0	2.9	0.3	0.3	0.3	interpolated	benchmark	market	no	NA	NA	0.7	0.2	0.1	0.1	-0.1	0	0.3	0.3	0.3	0.5	0.5	0.3
ARG-2004	Argentina	ARG	2004	Argentine Peso	517308.9	499958.9	38.7	14.7	1739.7	2.8	390279.6	479519.8	511582.5	497031.0	1365802.9	0.7	0.6	532917.0	404827.9	479736.5	1379962.0	0.8	0.8	0.4	0.0	2.9	0.4	0.4	0.4	interpolated	benchmark	market	no	NA	88.9	0.7	0.2	0.1	0.1	-0.1	0	0.4	0.4	0.4	0.6	0.5	0.4
ARG-2005	Argentina	ARG	2005	Argentine Peso	556650.4	546220.4	39.1	15.3	1755.3	2.8	432727.4	529555.2	558362.4	547243.8	1437139.1	0.7	0.7	582085.6	442472.7	526088.4	1427637.1	0.9	0.8	0.4	0.0	2.9	0.4	0.4	0.4	benchmark	benchmark	market	no	0.8	86.1	0.7	0.2	0.1	0.1	-0.1	0	0.4	0.4	0.5	0.6	0.6	0.4
ARG-2006	Argentina	ARG	2006	Argentine Peso	606310.6	593656.0	39.6	15.9	1809.4	2.8	463070.0	575257.7	604193.3	593230.8	1552985.1	0.7	0.7	630836.7	475221.1	576239.4	1490019.6	0.9	0.8	0.4	0.0	3.1	0.4	0.4	0.4	extrapolated	benchmark	market	no	NA	87.2	0.7	0.2	0.1	0.1	-0.1	0	0.4	0.5	0.5	0.6	0.6	0.4
ARG-2007	Argentina	ARG	2007	Argentine Peso	660317.9	649728.0	40.0	16.4	1816.9	2.8	505824.1	632473.4	656393.2	646576.2	1646294.5	0.8	0.7	681086.5	517800.3	636017.3	1563072.4	0.9	0.9	0.4	0.0	3.1	0.5	0.5	0.5	extrapolated	benchmark	market	no	NA	83.9	0.7	0.2	0.1	0.1	-0.1	0	0.5	0.6	0.6	0.7	0.6	0.5
ARG-2008	Argentina	ARG	2008	Argentine Peso	693144.8	685144.1	40.4	16.8	1835.9	2.8	537597.8	671160.9	693260.2	683466.8	1719041.9	0.8	0.7	702029.5	544240.5	670767.2	1639649.0	0.9	0.9	0.4	0.0	3.1	0.6	0.6	0.6	extrapolated	benchmark	market	no	NA	86.1	0.7	0.2	0.1	0.1	-0.1	0	0.6	0.6	0.7	0.7	0.7	0.6
ARG-2009	Argentina	ARG	2009	Argentine Peso	692631.9	679886.2	40.8	17.0	1736.9	2.8	558344.6	659092.1	689048.1	678409.6	1731396.5	0.8	0.7	702380.7	567251.6	659970.9	1693622.0	0.9	0.9	0.4	0.0	3.7	0.5	0.6	0.6	extrapolated	benchmark	market	no	NA	87.2	0.7	0.1	0.1	0.1	-0.1	0	0.5	0.6	0.7	0.7	0.6	0.6
ARG-2010	Argentina	ARG	2010	Argentine Peso	762683.6	753785.4	41.2	17.5	1728.7	2.8	607689.9	741091.0	760271.9	752309.6	1773983.8	0.8	0.8	768766.8	612269.4	743068.2	1768973.8	1.0	0.9	0.4	0.0	3.9	0.6	0.6	0.6	extrapolated	benchmark	market	no	NA	86.1	0.7	0.2	0.1	0.1	-0.1	0	0.6	0.7	0.8	0.7	0.7	0.6
ARG-2011	Argentina	ARG	2011	Argentine Peso	842470.7	833239.0	41.7	17.9	1762.3	2.9	673449.5	829362.9	842470.7	833239.0	1863171.5	0.9	0.8	833239.0	673449.5	829362.9	1863171.5	1.0	1.0	0.4	0.0	4.1	0.7	0.7	0.7	extrapolated	benchmark	market	no	NA	82.2	0.7	0.2	0.1	0.1	-0.1	0	0.6	0.7	0.9	0.8	0.7	0.6
ARG-2012	Argentina	ARG	2012	Argentine Peso	853745.9	852365.6	42.1	18.1	1789.0	2.9	704737.6	837528.3	852570.2	850283.0	1942274.1	0.9	0.8	839919.6	704620.7	837051.7	1939971.2	1.0	1.0	0.4	0.0	4.5	0.7	0.7	0.7	extrapolated	benchmark	market	no	NA	86.0	0.7	0.2	0.1	0.1	-0.1	0	0.7	0.8	1.0	0.7	0.7	0.7
ARG-2013	Argentina	ARG	2013	Argentine Peso	875387.3	868237.1	42.5	18.3	1776.7	2.9	735537.4	871752.0	871444.4	864276.6	2041532.4	0.8	0.8	864154.2	735035.9	874057.2	2017062.6	1.0	1.0	0.4	0.0	5.5	0.7	0.7	0.7	extrapolated	benchmark	market	no	NA	76.7	0.7	0.2	0.1	0.1	-0.1	0	0.6	0.8	1.0	0.8	0.7	0.7
ARG-2014	Argentina	ARG	2014	Argentine Peso	869134.8	862902.4	43.0	18.1	1776.7	2.9	736459.2	863160.1	865793.0	859908.5	2148250.8	0.8	0.8	868209.3	735930.2	864139.0	2083029.9	1.0	1.0	0.4	0.0	8.1	0.6	0.6	0.6	extrapolated	benchmark	market	no	NA	83.3	0.7	0.1	0.1	0.1	-0.1	0	0.5	0.8	0.9	0.7	0.7	0.6

#3. Use las funciones creadas en 1 y 2, para generar 2 dataframes, que muestren los datos de “EE.UU” y “Reino Unido” para el periodo 1990-2000