Gráficos
VADeaths
categorias <- c("#004C94","#006ECF", "#3C93FA", "#00D4C6", "#0FA69D")
barplot(
VADeaths,
beside = TRUE,
col = categorias,
main = "mortalidade na Virgínia",
xlab = "Categoria",
ylab = "Mortes",
ylim = c(0, 80),
legend.text = rownames(VADeaths),
args.legend = list(x = "topleft", title = "Faixa etária", bty = "n")
)

ClassificaçãoDoença
dados <- c("moderado", "leve", "leve", "severo", "leve", "moderado",
"moderado", "moderado", "leve", "leve", "severo", "leve",
"moderado", "moderado", "leve", "severo", "moderado",
"moderado", "moderado", "leve")
freq <- table(factor(dados, levels = c("leve", "moderado", "severo")))
pct <- round(100 * freq / sum(freq), 1)
rotulos <- paste0(pct, "%")
cores <- c("#3C93FA", "#004C94", "#2D3F54")
pie(freq,
labels = rotulos,
col = cores,
main = "Classificação da doença em 20 pacientes")
legend("topright",
legend = names(freq),
fill = cores,
title = "Estagio:")

USArrests
top5 <- USArrests %>%
mutate(City = rownames(USArrests)) %>%
arrange(desc(Murder)) %>%
slice_head(n = 5)
top5$City <- factor(top5$City, levels = top5$City)
plot_ly(top5, x = ~City) %>%
add_bars(y = ~Murder, name = "Murder", marker = list(color = "#4472C4")) %>%
add_bars(y = ~Rape, name = "Rape", marker = list(color = "#ED7D31")) %>%
add_bars(y = ~Assault, name = "Assault", marker = list(color = "#54A24B")) %>%
layout(
barmode = "group",
title = "Os 5 estados mais violentos",
xaxis = list(title = "Estado"),
yaxis = list(title = "Ocorrências")
)
Orange
laranja <- as.data.frame(Orange)
laranja$Tree <- as.character(laranja$Tree)
laranja$texto <- paste0("Árvore ", laranja$Tree,
" — idade: ", laranja$age,
" dias — circ: ", laranja$circumference, " mm")
plot_ly(
laranja,
x = ~age, y = ~circumference,
color = ~Tree,
type = "scatter", mode = "lines+markers",
text = ~texto, hoverinfo = "text"
) %>%
layout(
title = "Crescimento das laranjeiras",
xaxis = list(title = "Idade"),
yaxis = list(title = "Circunferência")
)