How can I avoid pie chart&legend overlap in R? - r

Question

I wanna create a pie chart of crime types,and add a legend on the right hand,but I tried many times to avoid overlapping,doesn't work at all.
table(dd$Primary.Type.new)
ARSON ASSAULT BATTERY BURGLARY
833 30743 91237 29298
CRIMINAL DAMAGE CRIMINAL TRESPASS DECEPTIVE PRACTICE HOMICIDE
57539 14353 17472 640
KIDNAPPING MOTOR VEHICLE THEFT NARCOTOCS OFFENSE INVOLVING CHILDREN
517 23724 55685 3347
OTHER OFFENSE PUBLIC OFFENSE PUBLIC PEACE VIOLATION ROBBERY
30878 3833 3632 18891
SEX_CRIME THEFT WEAPONS VIOLATION
9331 103255 4792
Type <- table(dd$Primary.Type.new)
Here's that from dput():
structure(c(ARSON = 833L, ASSAULT = 30743L, BATTERY = 91237L,
BURGLARY = 29298L, `CRIMINAL DAMAGE` = 57539L, `CRIMINAL TRESPASS` = 14353L,
`DECEPTIVE PRACTICE` = 17472L, HOMICIDE = 640L, KIDNAPPING = 517L,
`MOTOR VEHICLE THEFT` = 23724L, NARCOTOCS = 55685L, `OFFENSE INVOLVING CHILDREN` = 3347L,
`OTHER OFFENSE` = 30878L, `PUBLIC OFFENSE` = 3833L, `PUBLIC PEACE VIOLATION` = 3632L,
ROBBERY = 18891L, `SEX CRIME` = 9331L, THEFT = 103255L, `WEAPONS VIOLATION` = 4792L
), .Dim = 19L, .Dimnames = list(. = c("ARSON", "ASSAULT", "BATTERY",
"BURGLARY", "CRIMINAL DAMAGE", "CRIMINAL TRESPASS", "DECEPTIVE PRACTICE",
"HOMICIDE", "KIDNAPPING", "MOTOR VEHICLE THEFT", "NARCOTOCS",
"OFFENSE INVOLVING CHILDREN", "OTHER OFFENSE", "PUBLIC OFFENSE",
"PUBLIC PEACE VIOLATION", "ROBBERY", "SEX CRIME", "THEFT", "WEAPONS VIOLATION"
)), class = "table") -> Type
piepercent<- round(100*Type/sum(Type), 1)
pie(Type, edges = 200, radius = 0.8,
clockwise = FALSE,angle = 45, col = rainbow(length(Type)), main = "Pie Chart of Primary Crime Types", labels = piepercent,labelcex = 0.8)
legend("right", inset = .05, title = "Primary Crime Type",legend= dd$Primary.Type.new,fill = rainbow(length(Type)), horiz=FALSE,cex = 0.6)
I tried to use par(), but doestn't work.
and BTW how can I change the labels into percentage? such as convert 20.7 into 20.7%.
Thank you very much.
Update
I also tried 3D piechart
library(plotrix)
pie3D(Type,labels = piepercent,explode = 0.1, main = "3D Pie Chart of
Primary Crime Types", labelcex = 0.8)
legend("bottom", inset = .05, title = "Primary Crime Type",legend= dd$Primary.Type.new,fill = rainbow(length(Type)), horiz=TRUE,cex = 0.6)

Answer 1

I hesitate to post this since this is an absolutely terrible use case for a pie chart, but it's possible to make it a bit more readable and color-blind friendly:
structure(c(ARSON = 833L, ASSAULT = 30743L, BATTERY = 91237L,
BURGLARY = 29298L, `CRIMINAL DAMAGE` = 57539L, `CRIMINAL TRESPASS` = 14353L,
`DECEPTIVE PRACTICE` = 17472L, HOMICIDE = 640L, KIDNAPPING = 517L,
`MOTOR VEHICLE THEFT` = 23724L, NARCOTOCS = 55685L, `OFFENSE INVOLVING CHILDREN` = 3347L,
`OTHER OFFENSE` = 30878L, `PUBLIC OFFENSE` = 3833L, `PUBLIC PEACE VIOLATION` = 3632L,
ROBBERY = 18891L, `SEX CRIME` = 9331L, THEFT = 103255L, `WEAPONS VIOLATION` = 4792L
), .Dim = 19L, .Dimnames = list(. = c("ARSON", "ASSAULT", "BATTERY",
"BURGLARY", "CRIMINAL DAMAGE", "CRIMINAL TRESPASS", "DECEPTIVE PRACTICE",
"HOMICIDE", "KIDNAPPING", "MOTOR VEHICLE THEFT", "NARCOTOCS",
"OFFENSE INVOLVING CHILDREN", "OTHER OFFENSE", "PUBLIC OFFENSE",
"PUBLIC PEACE VIOLATION", "ROBBERY", "SEX CRIME", "THEFT", "WEAPONS VIOLATION"
)), class = "table") -> Type
Order the slices (IMPORTANT):
Type <- sort(Type, decreasing = TRUE)
Proper % and decent labels:
piepercent <- scales::percent(as.numeric(Type/sum(Type)))
Margins:
par(mar = c(1, 1, 1, 1)) # bltr
pie(
Type,
edges = 200,
radius = 0.8,
clockwise = TRUE, # IMPORTANT
angle = 45,
col = viridis::viridis_pal(option = "magma", direction=-1)(length(Type)), # BETTER COLOR PALETTE
labels = tail(piepercent, -7), # NEVER DISPLAY OVERLAPPING LABELS
cex = 0.7
)
legend(
x = 1.2, # DELIBERATE POSITION
y = 0.5, # DELIBERATE POSITION
inset = .05,
title = "Primary Crime Type",
legend = names(Type), # YOU WERE PASSING IN _ALL_ THE REPEAT NAMES
fill = viridis::viridis_pal(option = "magma", direction=-1)(length(Type)), # USE THE SAME COLOR PALETTE
horiz = FALSE,
cex = 0.6, # PROPER PARAMETER FOR TEXT SIZE
text.width = 0.7 # SET THE BOX WIDTH
)
Add the title manually:
title("Pie Chart of Primary Crime Types", line = -1)

Answer 2

Can't let a pie chart stand alone (and, now, a 3D one at that):
structure(list(cat = c("Arson", "Assault", "Battery", "Burglary",
"Criminal Damage", "Criminal Trespass", "Deceptive Practice",
"Homicide", "Kidnapping", "Motor Vehicle Theft", "Narcotocs",
"Offense Involving Children", "Other Offense", "Public Offense",
"Public Peace Violation", "Robbery", "Sex Crime", "Theft", "Weapons Violation"
), val = c(833, 30743, 91237, 29298, 57539, 14353, 17472, 640,
517, 23724, 55685, 3347, 30878, 3833, 3632, 18891, 9331, 103255,
4792), pct = c(0.001666, 0.061486, 0.182474, 0.058596, 0.115078,
0.028706, 0.034944, 0.00128, 0.001034, 0.047448, 0.11137, 0.006694,
0.061756, 0.007666, 0.007264, 0.037782, 0.018662, 0.20651, 0.009584
)), class = "data.frame", row.names = c(NA, -19L)) -> xdf
dplyr::arrange(xdf, pct) %>%
dplyr::mutate(cat = factor(cat, levels=cat)) %>%
dplyr::mutate(lab = sprintf("%s (%s)", scales::comma(val), scales::percent(pct))) %>%
ggplot(aes(pct, cat)) +
geom_segment(aes(xend=0, yend=cat), size=4, color = "#617a89") +
geom_label(
aes(label=lab), label.size = 0, hjust=0, nudge_x=0.001,
size = 3, family = hrbrthemes::font_rc, color = "#909495"
) +
hrbrthemes::scale_x_percent(expand=c(0,0.001), limits=c(0,0.25)) +
labs(x = NULL, y = NULL, title = "'Theft', 'Battery' & 'Criminal Damage' Account\nfor Half of Primary Recorded Crime Types") +
hrbrthemes::theme_ipsum_rc(grid="X") +
theme(axis.text.x = element_blank())
How I got xdf:
readLines(textConnection("ARSON ASSAULT BATTERY BURGLARY
833 30743 91237 29298
CRIMINAL_DAMAGE CRIMINAL_TRESPASS DECEPTIVE_PRACTICE HOMICIDE
57539 14353 17472 640
KIDNAPPING MOTOR_VEHICLE_THEFT NARCOTOCS OFFENSE_INVOLVING_CHILDREN
517 23724 55685 3347
OTHER_OFFENSE PUBLIC_OFFENSE PUBLIC_PEACE_VIOLATION ROBBERY
30878 3833 3632 18891
SEX_CRIME THEFT WEAPONS_VIOLATION
9331 103255 4792")) %>%
trimws() %>%
stri_split_regex("[[:space:]]+") -> x
do.call(rbind.data.frame, lapply(seq.int(1, length(x), 2), function(i) {
data.frame(
cat = stri_trans_totitle(gsub("_", " ", x[[i]])),
val = as.numeric(x[[i+1]]),
stringsAsFactors = FALSE
)
})) %>%
mutate(pct = val/sum(val)) -> xdf