%>%
NY.GNS.ICTR.ZS left_join(iso2c, by = "iso2c") %>%
group_by(iso2c, Iso2c) %>%
rename(value = `NY.GNS.ICTR.ZS`) %>%
mutate(value = round(value, 1)) %>%
summarise(Nobs = n(),
`Year 1` = first(year),
`Net Saving 1 (%)` = first(value),
`Year 2` = last(year),
`Net Saving 2 (%)` = last(value)) %>%
arrange(-Nobs) %>%
if (is_html_output()) datatable(., filter = 'top', rownames = F) else .} {
%>%
NY.GNS.ICTR.ZS filter(iso2c %in% c("CN", "FR", "DE")) %>%
left_join(iso2c, by = "iso2c") %>%
%>%
year_to_enddate ggplot(.) +
geom_line(aes(x = date, y = NY.GNS.ICTR.ZS/100, color = Iso2c, linetype = Iso2c)) +
theme_minimal() + scale_color_manual(values = viridis(4)[1:3]) +
theme(legend.title = element_blank(),
legend.position = c(0.1, 0.85)) +
scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
labels = scales::percent_format(accuracy = 1)) +
xlab("") + ylab("Gross savings (% of GDP)")
%>%
NY.GNS.ICTR.ZS filter(iso2c %in% c("US", "GB", "ES")) %>%
left_join(iso2c, by = "iso2c") %>%
%>%
year_to_enddate ggplot(.) +
geom_line(aes(x = date, y = NY.GNS.ICTR.ZS/100, color = Iso2c, linetype = Iso2c)) +
theme_minimal() + scale_color_manual(values = viridis(4)[1:3]) +
theme(legend.title = element_blank(),
legend.position = c(0.8, 0.9)) +
scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
labels = scales::percent_format(accuracy = 1)) +
xlab("") + ylab("Gross savings (% of GDP)")
%>%
NY.GNS.ICTR.ZS filter(iso2c %in% c("AR", "CL", "VE")) %>%
left_join(iso2c, by = "iso2c") %>%
%>%
year_to_enddate ggplot(.) +
geom_line(aes(x = date, y = NY.GNS.ICTR.ZS/100, color = Iso2c, linetype = Iso2c)) +
theme_minimal() + scale_color_manual(values = viridis(4)[1:3]) +
theme(legend.title = element_blank(),
legend.position = c(0.3, 0.9)) +
scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 5),
labels = scales::percent_format(accuracy = 1)) +
xlab("") + ylab("Gross savings (% of GDP)")
%>%
NY.GNS.ICTR.ZS filter(iso2c %in% c("GR", "HK", "MX")) %>%
left_join(iso2c, by = "iso2c") %>%
%>%
year_to_enddate ggplot(.) +
geom_line(aes(x = date, y = NY.GNS.ICTR.ZS/100, color = Iso2c, linetype = Iso2c)) +
theme_minimal() + scale_color_manual(values = viridis(4)[1:3]) +
theme(legend.title = element_blank(),
legend.position = c(0.2, 0.2)) +
scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 5),
labels = scales::percent_format(accuracy = 1)) +
xlab("") + ylab("Gross savings (% of GDP)")