LAST_DOWNLOAD |
---|
2022-05-15 |
SI.POV.GINI %>%
left_join(iso2c, by = "iso2c") %>%
group_by(iso2c, Iso2c) %>%
rename(value = `SI.POV.GINI`) %>%
mutate(value = round(value)) %>%
summarise(Nobs = n(),
`Year 1` = first(year),
`Gini 1` = first(value),
`Year 2` = last(year),
`Gini 2` = last(value)) %>%
arrange(-Nobs) %>%
mutate(Flag = gsub(" ", "-", str_to_lower(Iso2c)),
Flag = paste0('<img src="../../bib/flags/vsmall/', Flag, '.png" alt="Flag">')) %>%
select(Flag, everything()) %>%
{if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}
SI.POV.GINI %>%
filter(iso2c %in% c("GB", "FR", "US")) %>%
year_to_date %>%
left_join(iso2c, by = "iso2c") %>%
left_join(colors, by = c("Iso2c" = "country")) %>%
mutate(value = SI.POV.GINI) %>%
ggplot(.) + xlab("") + ylab("Gini") +
geom_line(aes(x = date, y = value, color = color)) +
theme_minimal() + scale_color_identity() + add_3flags +
scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = seq(28, 44, 2))
SI.POV.GINI %>%
filter(iso2c %in% c("GB", "FR", "US")) %>%
year_to_date %>%
left_join(iso2c, by = "iso2c") %>%
left_join(colors, by = c("Iso2c" = "country")) %>%
mutate(value = SI.POV.GINI) %>%
filter(date >= as.Date("1990-01-01")) %>%
ggplot(.) + xlab("") + ylab("Gini") +
geom_line(aes(x = date, y = value, color = color)) +
theme_minimal() + scale_color_identity() + add_3flags +
scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%y"))