Master Pie Chart Layouts for Clear Proportion Visualization

Pie charts are an excellent way to visualize proportions and percentages of a whole. They are ideal for showcasing data that adds up to 100%, making it easy to compare different segments at a glance. The larger the slice, the bigger the proportion it represents. Understanding pie charts is simple; each segment size directly correlates to its value. This visual representation makes complex data more accessible and memorable, making it perfect for presentations and reports. However, they become less effective with numerous categories or subtle differences in values.

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HTML / JS
R Code

<html>

  <head>
    <!-- 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/dist/canvasXpress.min.js"></script>
  </head>

  <body>

    <!-- 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 = {
         "x" : {
            "Factor1" : ["Lev : 1","Lev : 2","Lev : 3","Lev : 1","Lev : 2","Lev : 3"],
            "Factor2" : ["Lev : A","Lev : B","Lev : A","Lev : B","Lev : A","Lev : B"],
            "Factor3" : ["Lev : X","Lev : X","Lev : Y","Lev : Y","Lev : Z","Lev : Z"],
            "Factor4" : [5,10,15,20,25,30],
            "Factor5" : [8,16,24,32,40,48],
            "Factor6" : [10,20,30,40,50,60]
         },
         "y" : {
            "data" : [
              [5,10,25,40,45,50],
              [95,80,75,70,55,40],
              [25,30,45,60,65,70],
              [55,40,35,30,15,1]
            ],
            "desc" : ["Magnitude1","Magnitude2"],
            "smps" : ["S1","S2","S3","S4","S5","S6"],
            "vars" : ["V1","V2","V3","V4"]
         },
         "z" : {
            "Annt1" : ["Desc : 1","Desc : 2","Desc : 3","Desc : 4"],
            "Annt2" : ["Desc : A","Desc : B","Desc : A","Desc : B"],
            "Annt3" : ["Desc : X","Desc : X","Desc : Y","Desc : Y"],
            "Annt4" : [5,10,15,20],
            "Annt5" : [8,16,24,32],
            "Annt6" : [10,20,30,40]
         }
      }

      // Create the configuration for the graph
      var config = {
         "graphType" : "Pie",
         "legendKeyBackgroundBorderColor" : "rgba(255,255,255,0)",
         "legendKeyBackgroundColor" : "rgba(255,255,255,0)",
         "pieSegmentLabels" : "outside",
         "pieSegmentPrecision" : 1,
         "pieSegmentSeparation" : 2,
         "pieType" : "solid",
         "showTransition" : false,
         "xAxis" : ["S1"]
      }

      // Event used to create graph (optional)
      var events = false


      // Call the CanvasXpress function to create the graph
      var cX = new CanvasXpress("canvasId", data, config, events);

      
    </script>

  </body>

</html>

library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
  data=y,
  smpAnnot=x,
  varAnnot=z,
  graphType="Pie",
  legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
  legendKeyBackgroundColor="rgba(255,255,255,0)",
  pieSegmentLabels="outside",
  pieSegmentPrecision=1,
  pieSegmentSeparation=2,
  pieType="solid",
  showTransition=FALSE,
  xAxis=list("S1")
)