Most datasets come from a research project with its own processing pipeline. One project usually produces several datasets, and its pipeline is published as one repository.
Value
A tibble with columns project, title,
repo_url, visibility, n_datasets, and datasets. repo_url is NA
for projects whose code has not been published yet, and visibility is
"private" for repositories that only Insper Cidades members can open.
See also
open_project() to open a repository, list_datasets() for the
datasets themselves.
Examples
list_projects()
#> # A tibble: 9 × 6
#> project title repo_url visibility n_datasets datasets
#> <chr> <chr> <chr> <chr> <int> <chr>
#> 1 itbi Imposto sobre Transmissão… NA NA 1 itbi_sp
#> 2 densidade Densidade Populacional e … https:/… public 4 iptu_sp…
#> 3 alvaras Alvarás de licenciamento … NA NA 2 alvaras…
#> 4 geoses Índice GeoSES https:/… public 1 geoses_…
#> 5 mortalidade Mortalidade prematura por… NA NA 1 mortali…
#> 6 mare Ilhas de calor e qualidad… NA NA 3 ilhas_c…
#> 7 pemob Pesquisa Nacional de Mobi… https:/… public 2 pemob_a…
#> 8 motiva Embarques nas estações op… https:/… private 6 embarqu…
#> 9 faixa_azul Faixa Azul e sinistros de… https:/… public 3 faixa_a…
list_projects("motiva")
#> # A tibble: 1 × 6
#> project title repo_url visibility n_datasets datasets
#> <chr> <chr> <chr> <chr> <int> <chr>
#> 1 motiva Embarques nas estações operad… https:/… private 6 embarqu…
