Geom_text(aes(x = 1.2, y = midpoint, label = labels), color="black",Īdding Percentage And Count Labels To The Pie Chart Using ggplot2 Ggplot(table_percent, aes(x = "", y = Count, fill = Food)) # ggplot Pie Chart with percentage labels The line with geom_text() enables the percentage labels onto the pie chart. Now the ggplot() command along with the corresponding code can be used. Table_percent # Food Count cumulative midpoint labels These labels will come out as percentages on the pie chart. The next lines of code will convert the values under the Food column as factors and add label positions based on cumulative counts and midpoints. Library(dplyr) #Data Wrangling and Manipulation The dplyr package for data manipulation and data wrangling is loaded into R. Adding the percentage labels takes a bit of work here but it is manageable. The pie chart above is very nice but it could use percentage labels. The theme() functions allows for customization of the appearance of the title.Īdding Percentage Labels To The Pie Chart Using ggplot2 The labs() function allows for customization of the title and labels. Legend.title = element_text(hjust = 0.5, face="bold", size = 10))įrom the previous code, scale_fill_manual() allows for colour choices in the pieces of the pie chart. Theme(plot.title = element_text(hjust = 0.5), Labs(x = "", y = "", title = "Favourite Food Survey \n", Scale_fill_manual(values = c("Blue", "Red", "Green", "Orange")) The main line of code is coord_polar(theta = "y", start = 0) which will convert the bar graph into a pie (circular) graph. To create the actual pie chart more code is needed on top of the existing code for the bar graph. Ggplot(table, aes(x = "", y = Count, fill = Food)) This next lines of codes shows why a bar graph is not that good for displaying this data. In ggplot2, the pie chart follows from the bar graph. Load the ggplot2 package using this code below. ggplot2 allows R users to create pie charts, bar graphs, scatter plots, regression lines and more. The ggplot2 package in R is very good for data visuals. (Add from top to bottom of second column in table.) One could compute the total number of people in this food survey. The column names in the table can be changed as well by using colnames(). # $ food_choices: Factor w/ 4 levels "Caesar Salad".: 3 2 4 1 # 4 Caesar Salad 11 # Check structure of table: You can check the contents of the table by typing out table and/or using the str() command in R. Table <- ame(food_choices, counts) # Create data frame The food choices are Pizza, Pasta, Sushi, and Caesar Salad.įood_choices <- c("Pizza", "Pasta", "Sushi", "Caesar Salad") This data table will contain favourite food choices and their counts from a survey. Geom_text(aes(x = 1.For the pie chart, I am creating a fake sample dataset. Geom_bar(width = 1, position = "stack") Ggplot(df, aes(x = 1, weight = value, fill = Group)) Mutate(Group = factor(Group, levels = c("Neutral", "Negative", "Positive")), # factor levels need to be the opposite order of the cumulative sum of the values As you calculate where to place the labels based on the ordering in your data frame, this works out wrong.Īs a general principle of readability, do all the fancy calculations of labels and positions they go before the actual code drawing the graphic. your problem comes from the order in which the wedges are drawn, which will default to alphabetical. I agree with a waffle chart would be better. Guides(fill = guide_legend(title = "Group"))ĭATA mydf <- structure(list(Group = structure(c(3L, 1L, 2L). Geom_label_repel(aes(label = prop), size=5, show.legend = F, nudge_x = 1) Pie <- ggplot(mydf, aes(x = "", y = value, fill = fct_inorder(Group))) Mutate(prop = percent(value / sum(value))) -> mydf When geom_label_repel() added labels to the pie, the order of label was identical to that of the pie. When I drew the ggplot figure, I specified the order of Group in the order in mydf (i.e., Negative, Positive, and Neutral) using fct_inorder(). I also calculated the percentage in advance. I sorted the data in descending order by value. Here is an idea matching the order of groups in the pie chart and the order of labels.
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