documentation.md
In ColOpenData: Download Colombian Demographic, Climate and Geospatial Data

List datasets works as expected

Code
  list_datasets(module = "geospatial", language = "EN")
Output
  # A tibble: 9 x 7
    name                 group      source year  level        category description
    <chr>                <chr>      <chr>  <chr> <chr>        <chr>    <chr>      
  1 DANE_MGN_2018_DPTO   geospatial DANE   2018  department   maps     Geographic~
  2 DANE_MGN_2018_MPIO   geospatial DANE   2018  municipality maps     Geographic~
  3 DANE_MGN_2018_MPIOCL geospatial DANE   2018  municipalit~ maps     Geographic~
  4 DANE_MGN_2018_SETU   geospatial DANE   2018  urban_sector maps     Geographic~
  5 DANE_MGN_2018_SETR   geospatial DANE   2018  rural_sector maps     Geographic~
  6 DANE_MGN_2018_SECU   geospatial DANE   2018  urban_secti~ maps     Geographic~
  7 DANE_MGN_2018_SECR   geospatial DANE   2018  rural_secti~ maps     Geographic~
  8 DANE_MGN_2018_MZN    geospatial DANE   2018  block        maps     Geographic~
  9 DANE_MGN_2018_ZU     geospatial DANE   2023  urban_zone   maps     Geographic~

Dictionary works as expected

Code
  geospatial_dictionary(spatial_level = "mpio", language = "EN")
Output
  # A tibble: 88 x 4
     variable                 type         length description                     
     <chr>                    <chr>         <dbl> <chr>                           
   1 codigo_departamento      Text              2 Department code                 
   2 codigo_municipio_sin_con Text              3 Municipality code               
   3 municipio                Text            250 Municipality name               
   4 codigo_municipio         Text              5 Concatenated municipality code  
   5 version                  Long Integer     NA Year of the geographic informat~
   6 area                     Double           NA Municipality area in square met~
   7 latitud                  Double           NA Centroid latitude coordinate of~
   8 longitud                 Double           NA Centroid latitude coordinate of~
   9 encuestas                Double           NA Number of surveys CNPV 2018     
  10 enc_etnico               Double           NA Number of surveys that reported~
  # i 78 more rows

Climate tags works as expected

Code
  get_climate_tags(language = "ES")
Output
       etiqueta                                   variable
  1    TSSM_CON                Temperatura seca (ambiente)
  2    THSM_CON                         Temperatura humeda
  3     TMN_CON                         Temperatura minima
  4     TMX_CON                         Temperatura maxima
  5    TSTG_CON Temperatura seca (ambiente) del termografo
  6      HR_CAL                           Humedad relativa
  7    HRHG_CON            Humedad relativa del hidrografo
  8      TV_CAL                           Tension de vapor
  9     TPR_CAL                             Punto de rocio
  10   PTPM_CON                              Precipitacion
  11   PTPG_CON                              Precipitacion
  12   EVTE_CON                                Evaporacion
  13     FA_CON                       Fenomeno atmosferico
  14     NB_CON                                  Nubosidad
  15   RCAM_CON                       Recorrido del viento
  16   BSHG_CON                               Brillo solar
  17   VVAG_CON                       Velocidad del viento
  18   DVAG_CON                       Direccion del viento
  19 VVMXAG_CON                Velocidad maxima del viento
  20 DVMXAG_CON                Direccion maxima del viento
                                  frecuencia
  1  Horaria (07:00, 13:00, 18:00 y/o 19:00)
  2  Horaria (07:00, 13:00, 18:00 y/o 19:00)
  3                                   Diaria
  4                                   Diaria
  5                       Horaria (24 horas)
  6  Horaria (07:00, 13:00, 18:00 y/o 19:00)
  7                       Horaria (24 horas)
  8  Horaria (07:00, 13:00, 18:00 y/o 19:00)
  9  Horaria (07:00, 13:00, 18:00 y/o 19:00)
  10                                  Diaria
  11                      Horaria (24 horas)
  12                                  Diaria
  13 Horaria (07:00, 13:00, 18:00 y/o 19:00)
  14 Horaria (07:00, 13:00, 18:00 y/o 19:00)
  15                                  Diaria
  16                      Horaria (14 horas)
  17                      Horaria (24 horas)
  18                      Horaria (24 horas)
  19                                  Diaria
  20                                  Diaria

Lookup works as expected with different parameters

Code
  look_up(keywords = c("school", "age"), logic = "and", language = "EN")
Output
  # A tibble: 2 x 7
    name                  group       source year  level      category description
    <chr>                 <chr>       <chr>  <chr> <chr>      <chr>    <chr>      
  1 DANE_CNPVPD_2018_18PD demographic DANE   2018  department persons~ Census pop~
  2 DANE_CNPVPD_2018_18PM demographic DANE   2018  municipal~ persons~ Census pop~