pie-chart

I've tried various ways to get a facet_grid of pie charts in ggplot2 to vary width/radii according to another variable (strength). geom_bar accepts width=0.5 as a parameter but it is ignored once coord_polar is added. Adding width=0.5 to the ggplot aes or adding a aes to geom_bar doesn't work. I can't see any other relevant options for coord_polar . What's the easiest way to do this? The code below makes a nice grid of pie charts but doesn't change the sizes of the pie charts. What am I missing? mydata <- data.frame(side1=rep(LETTERS[1:3],3,each=9),side2=rep(LETTERS[1:3],9,each=3),widget=rep(c

I'm using d3.js - I have a pie chart here. The problem though is when the slices are small - the labels overlap. What is the best way of spreading out the labels. http://jsfiddle.net/BxLHd/16/ Here is the code for the labels. I am curious - is it possible to mock a 3d pie chart with d3? //draw labels valueLabels = label_group.selectAll("text.value").data(filteredData) valueLabels.enter().append("svg:text") .attr("class", "value") .attr("transform", function(d) { return "translate(" + Math.cos(((d.startAngle+d.endAngle - Math.PI)/2)) * (that.r + that.textOffset) + "," + Math.sin((d.startAngle+d

How can this compilable minimal code snippet example, which uses JFreeChart as plotting API, adapted in order to show both absoulte values AND percentages ? I couldn't extract this information neither from any code snippet on the internet nor from the JFreechart manual itself. The code snippet produces a pie chart showing only percentages. The absolute values in my case also matter, so i need to display them right under the percentages. Here is the code: (Note it lacks the imports) public class MyMinimalPieChartExample { public static void main(String[] args) { DefaultPieDataset dataset = new

This question already has an answer here: ggplot, facet, piechart: placing text in the middle of pie chart slices 4 answers I want to add data labels on faceted pie char. Maybe someone can can help me. My data: year <- c(1,2,1,2,1,2) prod <- c(1,1,2,2,3,3) quantity <- c(33,50,33,25,34,25) df <- data.frame(year, prod, quantity) rm(year, prod, quantity) Code: library(ggplot2) # center's calculated by hand centr2 <- c(16, 25, 49, 62.5, 81, 87.5) ggplot(data=df, aes(x=factor(1), y=quantity, fill=factor(prod))) + geom_bar(stat="identity") + geom_text(aes(x= factor(1), y=centr2, label = df$quantity)

I am trying to replicate this with R ggplot. I have exactly the same data: browsers<-structure(list(browser = structure(c(3L, 3L, 3L, 3L, 2L, 2L, 2L, 1L, 5L, 5L, 4L), .Label = c("Chrome", "Firefox", "MSIE", "Opera", "Safari"), class = "factor"), version = structure(c(5L, 6L, 7L, 8L, 2L, 3L, 4L, 1L, 10L, 11L, 9L), .Label = c("Chrome 10.0", "Firefox 3.5", "Firefox 3.6", "Firefox 4.0", "MSIE 6.0", "MSIE 7.0", "MSIE 8.0", "MSIE 9.0", "Opera 11.x", "Safari 4.0", "Safari 5.0" ), class = "factor"), share = c(10.85, 7.35, 33.06, 2.81, 1.58, 13.12, 5.43, 9.91, 1.42, 4.55, 1.65), ymax = c(10.85, 18.2,