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DSIR

Data Science Infrastructure for Global Health in R

An R package providing a publication-ready ggplot2 theme, flextable defaults, a pie-chart helper, built-in regional country-code datasets, and convenient clients for the WHO Global Health Observatory and UN Sustainable Development Goals APIs.

Installation

# install.packages("remotes")
remotes::install_github("shanlong-who/DSIR")

Features

Visualization

theme_dsi() — publication-ready ggplot2 theme.

library(DSIR)
library(ggplot2)

ggplot(women, aes(height, weight)) +
  geom_point(color = "steelblue") +
  theme_dsi()

dsi_flextable_defaults() — one-line setup for flextable formatting (booktabs style, bold headers). Pass font_family = "Cambria" if you have the font installed.

dsi_flextable_defaults()

ggpie() — quick pie charts with automatic percentage labels.

df <- data.frame(category = c("A", "B", "C"), value = c(40, 35, 25))
ggpie(df, "category", "value")

Data

wpro_cty — ISO-3 country codes for the WHO Western Pacific Region.

head(wpro_cty)
#> [1] "AUS" "BRN" "KHM" "CHN" "COK" "FJI"

WHO GHO API

# Search indicators by keyword
gho_indicators("mortality")

# Country-level data for an indicator
gho_data("NCDMORT3070", spatial_type = "country")

# Filter by area and year
gho_data("WHOSIS_000001", area = c("FRA", "DEU"), year_from = 2015)

# Discover available dimensions
gho_dimensions("NCDMORT3070")
gho_dimensions("NCDMORT3070", dimension = "Dim1")

UN SDG API

# Browse goals, targets, indicators, and geographic areas
sdg_goals()
sdg_targets()
sdg_indicators()
sdg_areas()

# Fetch indicator data
sdg_data("3.2.1", area = "156", year_from = 2015, year_to = 2023)

License

MIT

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.