Long sorted min-max list with coloured ends

Dumbbell graphs display the relationship between two data points for multiple categories by connecting them with a line. It effectively shows the difference or change between these two values for each item, allowing for easy comparison of magnitudes and variations across the dataset. This visualization is useful for highlighting shifts or disparities.


Economist GGPlot Excel Paul Tol Black And White Solarized Stata Tableau Wall Street CanvasXpress
Edit this code: edit & runin place edit inJSFiddle edit inCodePen 
<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 = 

      // Create the configuration for the graph
      var config = {
         "graphType" : "Dumbbell",
         "dumbbellType" : "connected",
         "theme" : "ggplot",
         "colorScheme" : "User",
         "colors" : [
            "#0072B2",
            "#009E73"
         ],
         "title" : "How hot are the reefs?",
         "subtitle" : "Annual minimum and maximum sea-surface temperature at 40 monitoring sites (°C)",
         "xAxis" : [
            "Winter minimum",
            "Summer maximum"
         ],
         "xAxisTitle" : "Temperature (°C)",
         "sortDir" : "ascending",
         "sortBy" : "Summer maximum",
         "smpLabelInterval" : 1,
         "smpTextScaleFontFactor" : 0.7,
         "legendPosition" : "top",
         "dataPointSizeScaleFactor" : 1,
         "citation" : "Source: synthetic data for illustration"
      }

      // 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>
Edit this code: edit & runin place edit inJSFiddle edit inCodePen 
<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 = {
         "y" : {
            "vars" : [
               "Winter minimum",
               "Summer maximum"
            ],
            "smps" : [
               "Moorea",
               "Bora Bora",
               "Rangiroa",
               "Tahiti",
               "Heron Is.",
               "Lizard Is.",
               "Ningaloo",
               "Raja Ampat",
               "Komodo",
               "Bunaken",
               "Palau",
               "Chuuk",
               "Yap",
               "Guam",
               "Okinawa",
               "Ishigaki",
               "Hainan",
               "Spratly",
               "Cebu",
               "Apo Reef",
               "Maldives N",
               "Maldives S",
               "Chagos",
               "Seychelles",
               "Zanzibar",
               "Mafia Is.",
               "Red Sea N",
               "Red Sea S",
               "Eilat",
               "Bonaire",
               "Curacao",
               "Belize",
               "Florida Keys",
               "Bahamas",
               "Cayman",
               "Jamaica",
               "Puerto Rico",
               "St Croix",
               "Barbados",
               "Tobago"
            ],
            "data" : [
               [
                  23.2,
                  23.8,
                  25.6,
                  22.4,
                  22.5,
                  25.9,
                  23.8,
                  24.6,
                  24,
                  25.3,
                  22.6,
                  25.9,
                  23.5,
                  24.9,
                  23.8,
                  26,
                  26.8,
                  23.8,
                  22.2,
                  26.3,
                  23.4,
                  25.8,
                  25.6,
                  24.3,
                  24.9,
                  23.3,
                  24.3,
                  25.8,
                  22.2,
                  24,
                  23.4,
                  22.7,
                  22.2,
                  23.4,
                  25.7,
                  23,
                  23,
                  23.9,
                  22.3,
                  26.9
               ],
               [
                  27.1,
                  26.3,
                  33.5,
                  29.4,
                  26,
                  29.8,
                  28.3,
                  31.1,
                  29.3,
                  30.1,
                  29.8,
                  28.1,
                  26.4,
                  27.2,
                  32.3,
                  33.1,
                  29.2,
                  31.2,
                  25.7,
                  29.5,
                  31.5,
                  34.3,
                  28.7,
                  30.5,
                  29.7,
                  29.6,
                  26.6,
                  28.8,
                  29,
                  30.1,
                  32.4,
                  25.9,
                  27.8,
                  27.7,
                  31.2,
                  28.8,
                  29.3,
                  27,
                  29.2,
                  29.1
               ]
            ]
         }
      }

      // Create the configuration for the graph
      var config = {
         "graphType" : "Dumbbell",
         "dumbbellType" : "connected",
         "theme" : "ggplot",
         "colorScheme" : "User",
         "colors" : [
            "#0072B2",
            "#009E73"
         ],
         "title" : "How hot are the reefs?",
         "subtitle" : "Annual minimum and maximum sea-surface temperature at 40 monitoring sites (°C)",
         "xAxis" : [
            "Winter minimum",
            "Summer maximum"
         ],
         "xAxisTitle" : "Temperature (°C)",
         "sortDir" : "ascending",
         "sortBy" : "Summer maximum",
         "smpLabelInterval" : 1,
         "smpTextScaleFontFactor" : 0.7,
         "legendPosition" : "top",
         "dataPointSizeScaleFactor" : 1,
         "citation" : "Source: synthetic data for illustration"
      }

      // 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-dumbbell14-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
citation="Source: synthetic data for illustration",
colorScheme="User",
colors=list("#0072B2", "#009E73"),
dataPointSizeScaleFactor=1,
dumbbellType="connected",
graphType="Dumbbell",
legendPosition="top",
smpLabelInterval=1,
smpTextScaleFontFactor=0.7,
sortBy="Summer maximum",
sortDir="ascending",
subtitle="Annual minimum and maximum sea-surface temperature at 40 monitoring sites (°C)",
theme="ggplot",
title="How hot are the reefs?",
xAxis=list("Winter minimum", "Summer maximum"),
xAxisTitle="Temperature (°C)"
)
from canvasxpress.canvas import CanvasXpress
from canvasxpress.plot import show_in_browser

if __name__ == "__main__":
  # Define the chart with its data and configuration
  chart: CanvasXpress = CanvasXpress(
    render_to = "dumbbell14",
    data = {
      "y": {
        "vars": ["Winter minimum", "Summer maximum"],
        "smps": ["Moorea", "Bora Bora", "Rangiroa", "Tahiti", "Heron Is.", "Lizard Is.", "Ningaloo", "Raja Ampat", "Komodo", "Bunaken", "Palau", "Chuuk", "Yap", "Guam", "Okinawa", "Ishigaki", "Hainan", "Spratly", "Cebu", "Apo Reef", "Maldives N", "Maldives S", "Chagos", "Seychelles", "Zanzibar", "Mafia Is.", "Red Sea N", "Red Sea S", "Eilat", "Bonaire", "Curacao", "Belize", "Florida Keys", "Bahamas", "Cayman", "Jamaica", "Puerto Rico", "St Croix", "Barbados", "Tobago"],
        "data": [
          [23.2, 23.8, 25.6, 22.4, 22.5, 25.9, 23.8, 24.6, 24, 25.3, 22.6, 25.9, 23.5, 24.9, 23.8, 26, 26.8, 23.8, 22.2, 26.3, 23.4, 25.8, 25.6, 24.3, 24.9, 23.3, 24.3, 25.8, 22.2, 24, 23.4, 22.7, 22.2, 23.4, 25.7, 23, 23, 23.9, 22.3, 26.9],
          [27.1, 26.3, 33.5, 29.4, 26, 29.8, 28.3, 31.1, 29.3, 30.1, 29.8, 28.1, 26.4, 27.2, 32.3, 33.1, 29.2, 31.2, 25.7, 29.5, 31.5, 34.3, 28.7, 30.5, 29.7, 29.6, 26.6, 28.8, 29, 30.1, 32.4, 25.9, 27.8, 27.7, 31.2, 28.8, 29.3, 27, 29.2, 29.1]
        ]
      }
    },
    config = {
      "graphType": "Dumbbell",
      "dumbbellType": "connected",
      "theme": "ggplot",
      "colorScheme": "User",
      "colors": ["#0072B2", "#009E73"],
      "title": "How hot are the reefs?",
      "subtitle": "Annual minimum and maximum sea-surface temperature at 40 monitoring sites (°C)",
      "xAxis": ["Winter minimum", "Summer maximum"],
      "xAxisTitle": "Temperature (°C)",
      "sortDir": "ascending",
      "sortBy": "Summer maximum",
      "smpLabelInterval": 1,
      "smpTextScaleFontFactor": 0.7,
      "legendPosition": "top",
      "dataPointSizeScaleFactor": 1,
      "citation": "Source: synthetic data for illustration"
    },
    width = 760,
    height = 900
  )

  # Display the chart in its own Web page
  show_in_browser(chart)
Run this notebook: Open in Binder 
from canvasxpress.canvas import CanvasXpress
from canvasxpress.plot import graph

graph(
  CanvasXpress(
    render_to = "dumbbell14",
    data = {
      "y": {
        "vars": ["Winter minimum", "Summer maximum"],
        "smps": ["Moorea", "Bora Bora", "Rangiroa", "Tahiti", "Heron Is.", "Lizard Is.", "Ningaloo", "Raja Ampat", "Komodo", "Bunaken", "Palau", "Chuuk", "Yap", "Guam", "Okinawa", "Ishigaki", "Hainan", "Spratly", "Cebu", "Apo Reef", "Maldives N", "Maldives S", "Chagos", "Seychelles", "Zanzibar", "Mafia Is.", "Red Sea N", "Red Sea S", "Eilat", "Bonaire", "Curacao", "Belize", "Florida Keys", "Bahamas", "Cayman", "Jamaica", "Puerto Rico", "St Croix", "Barbados", "Tobago"],
        "data": [
          [23.2, 23.8, 25.6, 22.4, 22.5, 25.9, 23.8, 24.6, 24, 25.3, 22.6, 25.9, 23.5, 24.9, 23.8, 26, 26.8, 23.8, 22.2, 26.3, 23.4, 25.8, 25.6, 24.3, 24.9, 23.3, 24.3, 25.8, 22.2, 24, 23.4, 22.7, 22.2, 23.4, 25.7, 23, 23, 23.9, 22.3, 26.9],
          [27.1, 26.3, 33.5, 29.4, 26, 29.8, 28.3, 31.1, 29.3, 30.1, 29.8, 28.1, 26.4, 27.2, 32.3, 33.1, 29.2, 31.2, 25.7, 29.5, 31.5, 34.3, 28.7, 30.5, 29.7, 29.6, 26.6, 28.8, 29, 30.1, 32.4, 25.9, 27.8, 27.7, 31.2, 28.8, 29.3, 27, 29.2, 29.1]
        ]
      }
    },
    config = {
      "graphType": "Dumbbell",
      "dumbbellType": "connected",
      "theme": "ggplot",
      "colorScheme": "User",
      "colors": ["#0072B2", "#009E73"],
      "title": "How hot are the reefs?",
      "subtitle": "Annual minimum and maximum sea-surface temperature at 40 monitoring sites (°C)",
      "xAxis": ["Winter minimum", "Summer maximum"],
      "xAxisTitle": "Temperature (°C)",
      "sortDir": "ascending",
      "sortBy": "Summer maximum",
      "smpLabelInterval": 1,
      "smpTextScaleFontFactor": 0.7,
      "legendPosition": "top",
      "dataPointSizeScaleFactor": 1,
      "citation": "Source: synthetic data for illustration"
    },
    width = 760,
    height = 900
  )
)

using CanvasXpress

canvasxpress(Dict(
  "y" => Dict(
    "vars" => ["Winter minimum", "Summer maximum"],
    "smps" => ["Moorea", "Bora Bora", "Rangiroa", "Tahiti", "Heron Is.", "Lizard Is.", "Ningaloo", "Raja Ampat", "Komodo", "Bunaken", "Palau", "Chuuk", "Yap", "Guam", "Okinawa", "Ishigaki", "Hainan", "Spratly", "Cebu", "Apo Reef", "Maldives N", "Maldives S", "Chagos", "Seychelles", "Zanzibar", "Mafia Is.", "Red Sea N", "Red Sea S", "Eilat", "Bonaire", "Curacao", "Belize", "Florida Keys", "Bahamas", "Cayman", "Jamaica", "Puerto Rico", "St Croix", "Barbados", "Tobago"],
    "data" => [
      [23.2, 23.8, 25.6, 22.4, 22.5, 25.9, 23.8, 24.6, 24, 25.3, 22.6, 25.9, 23.5, 24.9, 23.8, 26, 26.8, 23.8, 22.2, 26.3, 23.4, 25.8, 25.6, 24.3, 24.9, 23.3, 24.3, 25.8, 22.2, 24, 23.4, 22.7, 22.2, 23.4, 25.7, 23, 23, 23.9, 22.3, 26.9],
      [27.1, 26.3, 33.5, 29.4, 26, 29.8, 28.3, 31.1, 29.3, 30.1, 29.8, 28.1, 26.4, 27.2, 32.3, 33.1, 29.2, 31.2, 25.7, 29.5, 31.5, 34.3, 28.7, 30.5, 29.7, 29.6, 26.6, 28.8, 29, 30.1, 32.4, 25.9, 27.8, 27.7, 31.2, 28.8, 29.3, 27, 29.2, 29.1]
    ]
  )
);
  graphType = "Dumbbell",
  dumbbellType = "connected",
  theme = "ggplot",
  colorScheme = "User",
  colors = ["#0072B2", "#009E73"],
  title = "How hot are the reefs?",
  subtitle = "Annual minimum and maximum sea-surface temperature at 40 monitoring sites (°C)",
  xAxis = ["Winter minimum", "Summer maximum"],
  xAxisTitle = "Temperature (°C)",
  sortDir = "ascending",
  sortBy = "Summer maximum",
  smpLabelInterval = 1,
  smpTextScaleFontFactor = 0.7,
  legendPosition = "top",
  dataPointSizeScaleFactor = 1,
  citation = "Source: synthetic data for illustration"
)
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