Case Study: SDI 1990 - 2019

library(hmsidwR)
library(tidyverse)

data(sdi90_19)
head(sdi90_19)
#> # A tibble: 6 × 3
#>   location  year value
#>   <chr>    <dbl> <dbl>
#> 1 Global    1990 0.511
#> 2 Global    1991 0.516
#> 3 Global    1992 0.521
#> 4 Global    1993 0.525
#> 5 Global    1994 0.529
#> 6 Global    1995 0.534

sdi_avg <- sdi90_19 |>
  group_by(year, location) |>
  reframe(sdi_avg = round(mean(value), 3))

sdi_avg |>
  ggplot(aes(x = year, sdi_avg, group = location)) +
  geom_line(
    show.legend = F,
    color = "grey",
    linewidth = 0.1
  ) +
  geomtextpath::geom_textpath(
    data = sdi_avg |>
      filter(location == "Global"),
    aes(label = location),
    color = "red"
  ) +
  ggtitle("Socio-Demographic Index (SDI) 1990 - 2019") +
  labs(
    caption = "DataSource: healthdata.org",
    x = "Year", y = "SDI"
  )