Tidytuesday 11-11-2025 : Données de la tuberculose

Traitement des données du 11-11-2025
R
tidyverse
ggplot
Auteur·rice

GOLLENTZ Quentin

Date de publication

01-04-2026

Chargement des librairies

Code
library(tidyverse)
library(tidytuesdayR)

# Chargement des données

tuesdata <- tt_load('2025-11-11')

Data Dictionary

who_tb_data.csv

variable class description
country character Country or territory name
g_whoregion character WHO region
iso_numeric integer ISO numeric country/territory code
iso2 character ISO 2-character country/territory code. Note that Namibia’s code (“‘NA’”) includes single quotes to avoid being encoded as missing
iso3 character ISO 3-character country/territory code
year integer Year of observation
c_cdr double Case detection rate (all forms) [also known as TB treatment coverage], percent
c_newinc_100k double Case notification rate, which is the total of new and relapse cases and cases with unknown previous TB treatment history per 100 000 population (calculated)
cfr double Estimated TB case fatality ratio
e_inc_100k double Estimated incidence (all forms) per 100 000 population
e_inc_num integer Estimated number of incident cases (all forms)
e_mort_100k double Estimated mortality of TB cases (all forms) per 100 000 population
e_mort_exc_tbhiv_100k double Estimated mortality of TB cases (all forms, excluding HIV) per 100 000 population
e_mort_exc_tbhiv_num integer Estimated number of deaths from TB (all forms, excluding HIV)
e_mort_num integer Estimated number of deaths from TB (all forms)
e_mort_tbhiv_100k double Estimated mortality of TB cases who are HIV-positive, per 100 000 population
e_mort_tbhiv_num integer Estimated number of deaths from TB in people who are HIV-positive
e_pop_num integer Estimated total population number