Lollipop Chart

A lollipop plot is basically a barplot, where the bar is transformed in a line and a dot. It shows the relationship between a numeric and a categoric variable. However it is more appealing and convey as well the information. It is especially useful when you have several bars of the same height: it avoids to have a cluttered figure and a Moiré effect. The Cleveland dot plot is a handy variation, allowing to compare the value of 2 numeric values for each group.


Example Color Themes

Example Fonts



Show Code

Tools

<!-- Include the CanvasXpress library in your HTML file -->
<link rel="stylesheet" href="https://www.canvasxpress.org/dist/canvasXpress.css" type="text/css"/>
<script src="https://www.canvasxpress.org/canvasXpress.min.js"></script>


<!-- Create a canvas element for the chart with the desired dimensions -->
<div>
  <canvas id="canvasId" width="600" height="600"</canvas>
</div>


<!-- Create a script to initialize the chart -->
<script>

  <!-- Create the data for the graph -->
  var data = {
     "y" : {
        "data" : [
          [10,15,20,30,40,70,80,90]
        ],
        "smps" : ["S1","S2","S3","S4","S5","S6","S7","S8"],
        "vars" : ["V1"]
     }
  }
  
  
  <-- Create the configuration for the graph -->
  var config = {
     "barLollipopFactor":1.8,
     "barType":"lollipop",
     "colorScheme":"CanvasXpress",
     "graphType":"Bar",
     "legendKeyBackgroundBorderColor":"rgba(255,255,255,0)",
     "legendKeyBackgroundColor":"rgba(255,255,255,0)",
     "showTransition":"false",
     "widthFactor":0.6
  }
  

  <!-- Call the CanvasXpress function to create the graph -->
  var cX = new CanvasXpress("canvasId", data, config);


</script>
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/cX-lollipop-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
  data=y,
  barLollipopFactor=1.8,
  barType="lollipop",
  colorScheme="CanvasXpress",
  graphType="Bar",
  legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
  legendKeyBackgroundColor="rgba(255,255,255,0)",
  showTransition=FALSE,
  widthFactor=0.6
)