Dataset: Health Metrics Data - Number of Deaths Due to 9 Causes in 2019
Source:R/deaths2019.R
deaths2019.Rd
A dataset containing the number of deaths due to 9 causes in 6 regions for 2019.
Usage
data(deaths2019)
Format
A dataframe with 2754 rows and 7 variables:
The variables are as follows:
- location
character, France, Germany, Global, Italy, United Kingdom, United States of America
- sex
character, Female, Male, Both
- age
character, age groups from <1 to 85+ each 5 years
- cause
character, Alzheimer's disease and other dementias, Breast cancer, Chronic obstructive pulmonary disease, Colon and rectum cancer, Diabetes and kidney diseases, Lower respiratory infections, Road injuries, Stroke, Tracheal, bronchus, and lung cancer
- val
numeric, deaths number estimation
- upper
numeric, upper value estimation
- lower
numeric, lower value estimation
Source
2019 data from the IHME website
Examples
data(deaths2019)
head(deaths2019)
#> # A tibble: 6 × 7
#> location sex age cause dx upper lower
#> <chr> <chr> <ord> <chr> <dbl> <dbl> <dbl>
#> 1 UK male <1 Lower respiratory infections 39.7 51.0 29.5
#> 2 UK female <1 Lower respiratory infections 30.0 38.0 22.6
#> 3 UK both <1 Lower respiratory infections 69.7 88.3 53.3
#> 4 UK male <1 Stroke 1.33 2.41 0.850
#> 5 UK female <1 Stroke 1.04 1.84 0.669
#> 6 UK both <1 Stroke 2.38 4.21 1.55