![]() 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. I can now use this function for any other projects we work on.For the pie chart, I am creating a fake sample dataset. Here’s a video walkthrough with the code used in the video below that.Īnd there we have it: a donut chart with a big number in the middle. Create our data frameįirst, we create our data frame. I’ve written code and recorded videos to show each step. Let’s break apart this function piece by piece in order to see how it works.
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