Interactive Histogram Charts for Data Visualization

Dashboards in CanvasXpress streamline data visualization and analysis by combining various charts and visual elements into one interactive interface. With customizable layouts, they offer a clear view of complex datasets, making it easier to spot trends and insights. Users can filter, drill down, and explore data dynamically, providing a user-friendly experience for both experts and non-technical audiences. Whether for business, research, or project monitoring, CanvasXpress dashboards help users make confident, data-driven decisions efficiently.

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Edit this 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>

      // Use a data frame (2D-array) for the graph
      var data = [
        [ "Id", "Age", "Survived", "Cabin", "Fare", "Pclass", "Embarked", "Parch", "Ticket", "SibSp", "Sex"],
        [ "1", 22, 0, "", 7.25, 3, "S", 0, "A/5 21171", 1, "male"],
        [ "2", 38, 1, "C85", 71.2833, 1, "C", 0, "PC 17599", 1, "female"],
        [ "3", 26, 1, "", 7.925, 3, "S", 0, "STON/O2. 3101282", 0, "female"],
        [ "4", 35, 1, "C123", 53.1, 1, "S", 0, 113803, 1, "female"],
        [ "5", 35, 0, "", 8.05, 3, "S", 0, 373450, 0, "male"],
        [ "6", null, 0, "", 8.4583, 3, "Q", 0, 330877, 0, "male"],
        [ "7", 54, 0, "E46", 51.8625, 1, "S", 0, 17463, 0, "male"],
        [ "8", 2, 0, "", 21.075, 3, "S", 1, 349909, 3, "male"],
        [ "9", 27, 1, "", 11.1333, 3, "S", 2, 347742, 0, "female"],
        [ "10", 14, 1, "", 30.0708, 2, "C", 0, 237736, 1, "female"],
        [ "11", 4, 1, "G6", 16.7, 3, "S", 1, "PP 9549", 1, "female"],
        [ "12", 58, 1, "C103", 26.55, 1, "S", 0, 113783, 0, "female"],
        [ "13", 20, 0, "", 8.05, 3, "S", 0, "A/5. 2151", 0, "male"],
        [ "14", 39, 0, "", 31.275, 3, "S", 5, 347082, 1, "male"],
        [ "15", 14, 0, "", 7.8542, 3, "S", 0, 350406, 0, "female"],
        [ "16", 55, 1, "", 16, 2, "S", 0, 248706, 0, "female"],
        [ "17", 2, 0, "", 29.125, 3, "Q", 1, 382652, 4, "male"],
        [ "18", null, 1, "", 13, 2, "S", 0, 244373, 0, "male"],
        [ "19", 31, 0, "", 18, 3, "S", 0, 345763, 1, "female"],
        [ "20", null, 1, "", 7.225, 3, "C", 0, 2649, 0, "female"],
        [ "21", 35, 0, "", 26, 2, "S", 0, 239865, 0, "male"],
        [ "22", 34, 1, "D56", 13, 2, "S", 0, 248698, 0, "male"],
        [ "23", 15, 1, "", 8.0292, 3, "Q", 0, 330923, 0, "female"],
        [ "24", 28, 1, "A6", 35.5, 1, "S", 0, 113788, 0, "male"],
        [ "25", 8, 0, "", 21.075, 3, "S", 1, 349909, 3, "female"],
        [ "26", 38, 1, "", 31.3875, 3, "S", 5, 347077, 1, "female"],
        [ "27", null, 0, "", 7.225, 3, "C", 0, 2631, 0, "male"],
        [ "28", 19, 0, "C23 C25 C27", 263, 1, "S", 2, 19950, 3, "male"],
        // ... (data truncated after 29 records for clarity)
      ]

      // Create the configuration for the graph
      var config = {
         "graphOrientation" : "vertical",
         "graphType" : "Bar",
         "groupingFactors" : ["Pclass"],
         "histogramBins" : false,
         "stackBy" : "Survived",
         "summaryType" : "count",
         "theme" : "lastAirBenderFire",
         "xAxis" : ["Age"]
      }

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

      // Functions after rendering graph
      var afterRender = [
        [
          "createHistogram",
          []
        ],
        [
          "createDOE",
          []
        ]
      ]

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

    </script>

  </body>

</html>

Edit this 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" : {
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            "vars" : ["Age"]
         }
      }

      // Create the configuration for the graph
      var config = {
         "graphOrientation" : "vertical",
         "graphType" : "Bar",
         "groupingFactors" : ["Pclass"],
         "histogramBins" : false,
         "stackBy" : "Survived",
         "summaryType" : "count",
         "theme" : "lastAirBenderFire",
         "xAxis" : ["Age"]
      }

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

      // Functions after rendering graph
      [
        [
          "createHistogram",
          []
        ],
        [
          "createDOE",
          []
        ]
      ]
      // 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-titanic-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-titanic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
graphOrientation="vertical",
graphType="Bar",
groupingFactors=list("Pclass"),
histogramBins=FALSE,
stackBy="Survived",
summaryType="count",
theme="lastAirBenderFire",
xAxis=list("Age"),
afterRender=list(list("createHistogram", list()), list("createDOE", list()))
)

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 = "dashboard1",
    data = {
      "x": {
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        ],
        "smps": ["1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "100", "101", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "134", "135", "136", "137", "138", "139", "140", "141", "142", "143", "144", "145", "146", "147", "148", "149", "150", "151", "152", "153", "154", "155", "156", 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"872", "873", "874", "875", "876", "877", "878", "879", "880", "881", "882", "883", "884", "885", "886", "887", "888", "889", "890", "891"],
        "vars": ["Age"]
      }
    },
    config = {
      "graphOrientation": "vertical",
      "graphType": "Bar",
      "groupingFactors": ["Pclass"],
      "histogramBins": False,
      "stackBy": "Survived",
      "summaryType": "count",
      "theme": "lastAirBenderFire",
      "xAxis": ["Age"]
    },
    after_render = [
      [
        "createHistogram",
        []
      ],
      [
        "createDOE",
        []
      ]
    ],
    width = 600,
    height = 600
  )

  # Display the chart in its own Web page
  show_in_browser(chart)

Run this notebook:

from canvasxpress.canvas import CanvasXpress
from canvasxpress.plot import graph

graph(
  CanvasXpress(
    render_to = "dashboard1",
    data = {
      "x": {
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      "graphType": "Bar",
      "groupingFactors": ["Pclass"],
      "histogramBins": False,
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      "summaryType": "count",
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    ],
    width = 600,
    height = 600
  )
)