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Download microdata of death records from Brazil's census

Source: R/read_mortality.R
read_mortality.Rd

Download microdata of death records from Brazil's census. Data collected in the sample component of the questionnaire.

Usage

read_mortality(
  year,
  columns = NULL,
  add_labels = NULL,
  merge_households = FALSE,
  as_data_frame = FALSE,
  showProgress = TRUE,
  cache = TRUE,
  verbose = TRUE
)

Arguments

year

Numeric. Year of reference in the format yyyy.

columns

String. A vector of column names to keep. The rest of the columns are not read. Defaults to NULL and read all columns.

add_labels

Character. Whether the function should add labels to the responses of categorical variables. When add_labels = "pt", the function adds labels in Portuguese. Defaults to NULL.

merge_households

Logical. Indicate whether the function should merge household variables to the output data. Defaults to FALSE.

as_data_frame

Logical. When FALSE (Default), the function returns an Arrow Dataset, which allows users to work with larger-than-memory data. If TRUE, the function returns data.frame.

showProgress

Logical. Defaults to TRUE display download progress bar. The progress bar only reflects only the downloading time, not the time to load the data to memory.

cache

Logical. Whether the function should read the data cached locally, which is much faster. Defaults to TRUE. The first time the user runs the function, censobr will download the file and store it locally so that the file only needs to be download once. If FALSE, the function will download the data again and overwrite the local file.

verbose

A logical. Whether the function should print informative messages. Defaults to TRUE.

Value

An arrow Dataset or a "data.frame" object.

See also

Other Microdata: read_emigration(), read_families(), read_households(), read_population()

Examples

library(censobr)

# return data as arrow Dataset
df <- read_mortality(
  year = 2010,
  showProgress = FALSE
  )
#> ℹ Downloading data and storing it locally for future use.

# dplyr::glimpse(df)

# return data as data.frame
df <- read_mortality(
  year = 2010,
  as_data_frame = TRUE,
  showProgress = FALSE
  )
#> ℹ Reading data cached locally.

# dplyr::glimpse(df)