Services, value added per worker (constant 2010 USD) - NV.SRV.EMPL.KD

Data - WDI

Nobs - Javascript

Code
NV.SRV.EMPL.KD %>%
  left_join(iso2c, by = "iso2c") %>%
  group_by(iso2c, Iso2c) %>%
  mutate(value = round(value, 1)) %>%
  summarise(Nobs = n(),
            `Year 1` = first(year),
            `Value added in Services 1 (%)` = first(value),
            `Year 2` = last(year),
            `Value added in Services 2 (%)` = last(value)) %>%
  arrange(-`Value added in Services 2 (%)`) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

Japan

Code
NV.SRV.EMPL.KD %>%
  filter(iso2c %in% c("JP")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_enddate %>%
  ggplot(.) + geom_line(aes(x = date, y = value)) +
  xlab("") + ylab("Services, value added per worker") + theme_minimal() +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.2)) +
  scale_x_date(breaks = seq(1950, 2100, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = seq(0, 200000, 10000),
                     labels = comma)

China, France, Germany

Code
NV.SRV.EMPL.KD %>%
  filter(iso2c %in% c("CN", "FR", "DE")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = value) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  theme_minimal() + scale_color_identity() + add_flags + theme_minimal() +
  theme(legend.title = element_blank(),
        legend.position = c(0.15, 0.9)) +
  scale_x_date(breaks = seq(1950, 2100, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = seq(0, 200000, 10000),
                     labels = dollar_format()) +
  xlab("") + ylab("Services, value added per worker")

Italy, Portugal, Spain

Code
NV.SRV.EMPL.KD %>%
  filter(iso2c %in% c("ES", "IT", "PT")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = value) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  theme_minimal() + scale_color_identity() + add_flags + theme_minimal() +
  theme(legend.title = element_blank(),
        legend.position = c(0.15, 0.9)) +
  scale_x_date(breaks = seq(1950, 2100, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = seq(0, 200000, 10000),
                     labels = dollar_format()) +
  xlab("") + ylab("Services, value added per worker")

Spain, United Kingdom, United States

Code
NV.SRV.EMPL.KD %>%
  filter(iso2c %in% c("US", "GB", "ES")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = value) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  theme_minimal() + scale_color_identity() + add_flags + theme_minimal() +
  theme(legend.title = element_blank(),
        legend.position = c(0.15, 0.9)) +
  scale_x_date(breaks = seq(1950, 2100, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = seq(0, 200000, 10000),
                     labels = dollar_format()) +
  xlab("") + ylab("Services, value added per worker")

Argentina, Chile, Venezuela

Code
NV.SRV.EMPL.KD %>%
  filter(iso2c %in% c("AR", "CL", "VE")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = value) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  theme_minimal() + scale_color_identity() + add_flags + theme_minimal() +
  theme(legend.title = element_blank(),
        legend.position = c(0.15, 0.9)) +
  scale_x_date(breaks = seq(1950, 2100, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = seq(0, 200000, 10000),
                     labels = dollar_format()) +
  xlab("") + ylab("Services, value added per worker")

Greece, Hong Kong, Mexico

Code
NV.SRV.EMPL.KD %>%
  filter(iso2c %in% c("GR", "HK", "MX")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = value) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  theme_minimal() + scale_color_identity() + add_flags + theme_minimal() +
  theme(legend.title = element_blank(),
        legend.position = c(0.15, 0.9)) +
  scale_x_date(breaks = seq(1950, 2100, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = seq(0, 200000, 10000),
                     labels = dollar_format()) +
  xlab("") + ylab("Services, value added per worker")