I have created a list with a count of the values of 1 column:
ataques_tot <- count(t1$attacktype1_txt) ataques_tot x freq 1 Armed Assault 40223 2 Assassination 18402 3 Bombing/Explosion 83073 4 Facility/Infrastructure Attack 9581 5 Hijacking 11733 6 Unarmed Assault 913 7 Unknown 6425
And I want to make a piechart with the percentages, not with the counts out of it. I have tried to take that list to a df and then using something like this:
ggpie(ataques_tot, "value", label = "group", fill = "group", color = "white")
But I am struggling a lot, maybe that option is already implemented on ggplot2...
I have tried also this:
pie <- ggplot(t1, aes(x = factor(1), fill = factor(attacktype1_txt))) + geom_bar(width = 1) pie + coord_polar(theta = "y")
But it gives me a count, not the percentages of the categorical variable. After that I would just need to entitle the plot and that's it.
Thanks in advance!!
Calculate the percentage:
d$perc <- round(100 * d$freq / sum(d$freq))
ggplot(data = d, aes(x = 0, y = freq, fill = x)) + geom_bar(stat = "identity") + geom_text(aes(label = perc), position = position_stack(vjust = 0.5)) + scale_x_continuous(expand = c(0,0)) + labs(fill = 'Type', x = NULL, y = NULL, title = 'Deaths', subtitle = 'in perventages') + coord_polar(theta = "y") + theme_minimal()
d <- structure(list(x = c("Armed Assault", "Assassination", "Bombing/Explosion", "Facility/Infrastructure Attack", "Hijacking", "Unarmed Assault", "Unknown"), freq = c(40223L, 18402L, 83073L, 9581L, 11733L, 913L, 6425L)), .Names = c("x", "freq"), class = "data.frame", row.names = c(NA, -7L))