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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.

Usage

list_projects(project = NULL)

Arguments

project

Optional project slug or regular expression to filter on.

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…