The goal of tidyipea is to provide access to Instituto de Pesquisa Econômica Aplicada (IPEA) dataset, available by the IPEADATA API.
This is a work still in a very preliminary stage and probably does not cover all the possibilities of API features or provides adequate robustness against errors, but it can be an alternative to other packages currently archived on CRAN (see related works below).
You can install the development version from GitHub with:
# install.packages("devtools")
devtools::install_github("schoulten/tidyipea")This is a basic example which shows you how to get IPEADATA series:
library(tidyipea)
library(dplyr)
# Get CAGED data
my_tbl <- tidyipea::get_ipea(code = c("CAGED12_SALDON12", "CAGED12_DESLIGN12"))
dplyr::glimpse(my_tbl)
#> Rows: 30
#> Columns: 3
#> $ date <date> 2020-01-01, 2020-02-01, 2020-03-01, 2020-04-01, 2020-05-01, 202~
#> $ value <dbl> 66818, 188869, -207401, -860503, -331901, -10984, 131010, 249388~
#> $ code <fct> CAGED12_SALDON12, CAGED12_SALDON12, CAGED12_SALDON12, CAGED12_SA~To see all available IPEADATA series codes, run this:
all_codes <- tidyipea::codes_ipea()
dplyr::glimpse(all_codes)
#> Rows: 8,874
#> Columns: 7
#> $ code <chr> "ABATE_ABPEAV", "ABATE_ABPEBV", "ABATE_ABPESU", "ABATE_ABQU~
#> $ name <chr> "Abate - aves - peso das carcaças", "Abate - bovinos - peso~
#> $ theme <fct> Macroeconomic, Macroeconomic, Macroeconomic, Macroeconomic,~
#> $ source <fct> IBGE/Coagro, IBGE/Coagro, IBGE/Coagro, IBGE/Coagro, IBGE/Co~
#> $ freq <fct> Yearly, Yearly, Yearly, Yearly, Yearly, Yearly, Monthly, Mo~
#> $ lastupdate <date> 2021-03-18, 2021-03-18, 2021-03-18, 2021-03-18, 2021-03-18~
#> $ status <fct> Active, Active, Active, Active, Active, Active, Inactive, A~Check out some similar works: