Comments (4)
PONTOS60$quartis2 <- cut(
PONTOS60$`Cic/Hora_2019`,
breaks = c(0, 15, 30, 45, 100, max(PONTOS60$`Cic/Hora_2019`)),
labels = c("0-15","15-30","30-45","45-90", ">100")
)
from rnotebook.
num mapa, classificar automaticamente
mapview(
Trotinetas2019PontoHoras,
zcol = "TrotinetasHora",
at = quantile(Trotinetas2019PontoHoras$TrotinetasHora),
lwd = 0.5,
layer.name = "trotinetas/hora",
label = Trotinetas2019PontoHoras$Local,
popup = leafpop::popupTable(
Trotinetas2019PontoHoras,
row.numbers = F,
feature.id = F
)
)
from rnotebook.
PONTOS60$quartis2 <- cut( PONTOS60$`Cic/Hora_2019`, breaks = c(0, 15, 30, 45, 100, max(PONTOS60$`Cic/Hora_2019`)), labels = c("0-15","15-30","30-45","45-90", ">100") )
RedeViaria$declive_class = RedeViaria$declive %>%
cut(
breaks = c(0, 3, 5, 8, 10, 20, Inf),
labels = c("0-3: plano", "3-5: leve","5-8: médio", "8-10: exigente", "10-20: terrível", ">20: impossível"),
right = F #para incluir o intervalo com 0-3] em vez de [
)
from rnotebook.
usar este package maravilhoso?
https://hughjonesd.github.io/santoku/tutorials/00-visualintroduction.html
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