Vehicle category translations

[kevinykuo]

> modeling_data %>% 
+   group_by(vehicle_category) %>% 
+   count()
# A tibble: 8 x 2
# Groups:   vehicle_category [8]
  vehicle_category                             n
  <fct>                                    <int>
1 Motocicleta (nacional e importado)       24146
2 Ônibus (nacional e importado)             3411
3 Outros                                   18504
4 Passeio importado                        78245
5 Passeio nacional                        118664
6 Pick-up (nacional e importado)           95373
7 Utilitários (nacional e importado)        3920
8 Veículo de Carga (nacional e importado)  46105

[kevinykuo]

@rafaelcosta1 @dfalbel could you guys help with these? They seem straightforward but I wanna make sure I'm not missing any connotation (e.g. maybe some of these are for "commercial" use rather than "private passenger")

[dfalbel]

It's tricky to translate because most terms are used in multiple contexts. I would say his:

1 Motocicleta (nacional e importado) 24146 -> Scooter (made in Brazil or imported)
2 Ônibus (nacional e importado) 3411 -> Bus
3 Outros 18504 -> Others
4 Passeio importado 78245 -> Normal cars 🚘 (imported)
5 Passeio nacional 118664 -> Normal cars (made in Brazil)
6 Pick-up (nacional e importado) 95373 -> Pick-Up (usually for personal usage)
7 Utilitários (nacional e importado) 3920 -> Not sure about the translation. Usually these kind of vehicules ; But sometimes the term is also used for SUV's.

8 Veículo de Carga (nacional e importado) 46105 -> Trucks /larger vehicules.

I would take a look at what are the models of vehicules that appear inside each category.

[kevinykuo]

Thanks, super helpful! For now I'm going to keep Passeio importado/nacional and pick-up in the dataset. I imagine scooters/mopeds are a different risk altogether.