ft_num: Mortality Reporting System with numerical measures

In rolap: Obtaining Star Databases from Flat Tables

Mortality Reporting System with numerical measures

Description

Selection of 20 rows from the 122 Cities Mortality Reporting System. Measures have been defined as integer values.

Usage

ft_num

Format

A tibble.

Details

The original dataset covers from 1962 to 2016. For each week, in 122 US cities, mortality figures by age group and cause, considered separately, are included. In the cause, only a distinction is made between pneumonia or influenza and others.

Source

https://catalog.data.gov/dataset/deaths-in-122-u-s-cities-1962-2016-122-cities-mortality-reporting-system

See Also

mrs_cause_schema

Other mrs example data: ft_age_rpd, ft_age, ft_cause_rpd, ft, mrs_db_geo, mrs_db, mrs_ft_new, mrs_ft

Examples

# The operations to obtain it from the `ft` data set are:

ft_num <- ft |>
  dplyr::mutate(`Pneumonia and Influenza Deaths` = as.integer(`Pneumonia and Influenza Deaths`)) |>
  dplyr::mutate(`All Deaths` = as.integer(`All Deaths`))

rolap documentation built on May 29, 2024, 10:38 a.m.