R ggplot - Error stat_bin requires continuous x variable - r

Question

My table is data.combined with following structure:
'data.frame': 1309 obs. of 12 variables:
$ Survived: Factor w/ 3 levels "0","1","None": 1 2 2 2 1 1 1 1 2 2 ...
$ Pclass : Factor w/ 3 levels "1","2","3": 3 1 3 1 3 3 1 3 3 2 ...
$ Name : Factor w/ 1307 levels "Abbing, Mr. Anthony",..: 109 191 358 277 16 559 520 629 417 581 ...
$ Sex : num 2 1 1 1 2 2 2 2 1 1 ...
$ Age : num 22 38 26 35 35 NA 54 2 27 14 ...
$ SibSp : int 1 1 0 1 0 0 0 3 0 1 ...
$ Parch : int 0 0 0 0 0 0 0 1 2 0 ...
$ Ticket : Factor w/ 929 levels "110152","110413",..: 524 597 670 50 473 276 86 396 345 133 ...
$ Fare : num 7.25 71.28 7.92 53.1 8.05 ...
$ Cabin : Factor w/ 187 levels "","A10","A14",..: 1 83 1 57 1 1 131 1 1 1 ...
$ Embarked: Factor w/ 4 levels "","C","Q","S": 4 2 4 4 4 3 4 4 4 2 ...
$ Title : Factor w/ 4 levels "Master.","Miss.",..: 3 3 2 3 3 3 3 1 3 3 ...
I want to draw a graph to reflect the relationship between Title and Survived, categorized by Pclass. I used the following code:
ggplot(data.combined[1:891,], aes(x=Title, fill = Survived)) +
geom_histogram(binwidth = 0.5) +
facet_wrap(~Pclass) +
ggtitle ("Pclass") +
xlab("Title") +
ylab("Total count") +
labs(fill = "Survived")
However this results in error: Error: StatBin requires a continuous x variable the x variable is discrete. Perhaps you want stat="count"?
If I change variable Title into numeric: data.combined$Title <- as.numeric(data.combined$Title) then the code works but the label in the graph is also numeric (below). Please tell me why it happens and how to fix it. Thanks.
Btw, I use R 3.2.3 on Mac El Capital.
Graph: Instead of Mr, Miss,Mrs the x axis shows numeric values 1,2,3,4

Answer 1

Sum up the answer from the comments above:
1 - Replace geom_histogram(binwidth=0.5) with geom_bar(). However this way will not allow binwidth customization.
2 - Using stat_count(width = 0.5) instead of geom_bar() or geom_histogram(binwidth = 0.5) would solve it.

Answer 2

extractTitle <- function(Name) {
Name <- as.character(Name)
if (length(grep("Miss.", Name)) > 0) {
return ("Miss.")
} else if (length(grep("Master.", Name)) > 0) {
return ("Master.")
} else if (length(grep("Mrs.", Name)) > 0) {
return ("Mrs.")
} else if (length(grep("Mr.", Name)) > 0) {
return ("Mr.")
} else {
return ("Other")
}
}
titles <- NULL
for (i in 1:nrow(data.combined)){
titles <- c(titles, extractTitle(data.combined[i, "Name"]))
}
data.combined$title <- as.factor(titles)
ggplot(data.combined[1:892,], aes(x = title, fill = Survived))+
geom_bar(width = 0.5) +
facet_wrap("Pclass")+
xlab("Pclass")+
ylab("total count")+
labs(fill = "Survived")

Answer 3

As stated above use geom_bar() instead of geom_histogram, refer sample code given below(I wanted separate graph for each month for birth date data):
ggplot(data = pf,aes(x=dob_day))+
geom_bar()+
scale_x_discrete(breaks = 1:31)+
facet_wrap(~dob_month,ncol = 3)

Answer 4

I had the same issue but none of the above solutions worked. Then I noticed that the column of the data frame I wanted to use for the histogram wasn't numeric:
df$variable<- as.numeric(as.character(df$variable))
Taken from here

Answer 5

I had the same error. In my original code, I read my .csv file with read_csv(). After I changed the file into .xlsx and read it with read_excel(), the code ran smoothly.