DotLine Graphs: Visualizing Data Distribution

DotLine graphs, also known as dot plot graphs, provide a simple yet effective way to visually represent data. They are particularly useful for displaying the distribution of a single continuous variable. Each data point is shown as a dot above a number line, allowing for easy identification of clusters, outliers, and overall data spread. Creating a DotLine graph is straightforward. Simply plot each data point as a dot above its corresponding value on the horizontal axis (number line). This visual representation allows for quick comparisons of individual data points, revealing patterns and trends that might be missed in other graph types. DotLine graphs are valuable tools for data analysis and presentation.


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<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>

      // Use a data frame (2D-array) for the graph
      var data = [
        [ "Id", "V1", "V2", "V3", "V4", "Factor4", "Factor6", "Factor3", "Factor1", "Factor2", "Factor5"],
        [ "S1", 5, 95, 25, 55, 5, 10, "Lev : X", "Lev : 1", "Lev : A", 8],
        [ "S2", 10, 80, 30, 40, 10, 20, "Lev : X", "Lev : 2", "Lev : B", 16],
        [ "S3", 25, 75, 45, 35, 15, 30, "Lev : Y", "Lev : 3", "Lev : A", 24],
        [ "S4", 40, 70, 60, 30, 20, 40, "Lev : Y", "Lev : 1", "Lev : B", 32],
        [ "S5", 45, 55, 65, 15, 25, 50, "Lev : Z", "Lev : 2", "Lev : A", 40],
        [ "S6", 50, 40, 70, 1, 30, 60, "Lev : Z", "Lev : 3", "Lev : B", 48 ]
      ];

      // Create the configuration for the graph
      var config = {
        "graphOrientation": "vertical",
        "graphType": "DotLine",
        "legendColumns": 2,
        "legendPosition": "bottom",
        "lineThickness": 2,
        "lineType": "spline",
        "smpTextRotate": 45,
        "smpTitle": "Collection of Samples",
        "smpTitleFontStyle": "italic",
        "subtitle": "Random Data",
        "title": "Dot-Line Graphs",
        "xAxis": ["V1", "V2"],
        "xAxis2": ["V3", "V4"],
        "xAxisGridMajorColor": "rgb(0,0,0)"
      }

      // 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>
<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 = {
        "graphOrientation": "vertical",
        "graphType": "DotLine",
        "legendColumns": 2,
        "legendPosition": "bottom",
        "lineThickness": 2,
        "lineType": "spline",
        "smpTextRotate": 45,
        "smpTitle": "Collection of Samples",
        "smpTitleFontStyle": "italic",
        "subtitle": "Random Data",
        "title": "Dot-Line Graphs",
        "xAxis": ["V1", "V2"],
        "xAxis2": ["V3", "V4"],
        "xAxisGridMajorColor": "rgb(0,0,0)"
      }

      // 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,
  graphOrientation="vertical",
  graphType="DotLine",
  legendColumns=2,
  legendPosition="bottom",
  lineThickness=2,
  lineType="spline",
  smpTextRotate=45,
  smpTitle="Collection of Samples",
  smpTitleFontStyle="italic",
  subtitle="Random Data",
  title="Dot-Line Graphs",
  xAxis=list("V1", "V2"),
  xAxis2=list("V3", "V4"),
  xAxisGridMajorColor="rgb(0,0,0)"
)