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Stacked Area Chart

The Stacked Area chart shows multiple area charts, corresponding to multiple data sets, stacked on top of one another. Data values are plotted as data points that are connected using line segments. The chart puts emphasis on the magnitude of change over time and effectively highlights the total value across a trend. It can be used to compare data like the sales figures for various products.

Caption

The caption (also called the chart title) is the heading of your chart. You can add custom text for the caption, as well as configure its font properties and cosmetics. Learn more about it

Data Plot

Data plot refers to the pie slices in a pie chart, columns of the column chart, lines in a line chart.

Legend

A legend is a chart element used to display the series name for each dataset, in case of multi-series or combination charts. Legends are used to correlate a data plot to its series name using its color.

X-Axis

X-Axis refers to a line on a chart that runs horizontally (left-right).

Y-Axis

Y-Axis refers to line or values on a chart that runs vertically (up-down) through zero.

X-Axis Labels

X-Axis labels are the names of the data points that are displayed on the x-axis of a chart.

Export menu that appears on top-right of the chart, it offers different options to export a chart.

You can enable or disable chart export using attribute exportEnabled. Refer to Exporting Charts to learn more.

Create a Stacked Area Chart

For a detailed list of attributes, refer to the Stacked Area Chart attributes page.

CHART

JSON

HTML

CHART

JSON

{
  "chart": {
    "caption": "Yearly Energy Production",
    "numbersuffix": " TWh",
    "formatnumberscale": "0",
    "showvalues": "0",
    "drawcrossline": "1",
    "showsum": "1",
    "plottooltext": "$dataValue from $seriesName",
    "theme": "froala"
  },
  "categories": [
    {
      "category": [
        {
          "label": "Canada"
        },
        {
          "label": "China"
        },
        {
          "label": "Russia"
        },
        {
          "label": "Australia"
        },
        {
          "label": "United States"
        },
        {
          "label": "France"
        }
      ]
    }
  ],
  "dataset": [
    {
      "seriesname": "Coal",
      "data": [
        {
          "value": "400"
        },
        {
          "value": "830"
        },
        {
          "value": "500"
        },
        {
          "value": "420"
        },
        {
          "value": "790"
        },
        {
          "value": "380"
        }
      ]
    },
    {
      "seriesname": "Hydro",
      "data": [
        {
          "value": "350"
        },
        {
          "value": "620"
        },
        {
          "value": "410"
        },
        {
          "value": "370"
        },
        {
          "value": "720"
        },
        {
          "value": "310"
        }
      ]
    },
    {
      "seriesname": "Nuclear",
      "data": [
        {
          "value": "210"
        },
        {
          "value": "400"
        },
        {
          "value": "450"
        },
        {
          "value": "180"
        },
        {
          "value": "570"
        },
        {
          "value": "270"
        }
      ]
    },
    {
      "seriesname": "Gas",
      "data": [
        {
          "value": "180"
        },
        {
          "value": "330"
        },
        {
          "value": "230"
        },
        {
          "value": "160"
        },
        {
          "value": "440"
        },
        {
          "value": "350"
        }
      ]
    },
    {
      "seriesname": "Oil",
      "data": [
        {
          "value": "60"
        },
        {
          "value": "200"
        },
        {
          "value": "200"
        },
        {
          "value": "50"
        },
        {
          "value": "230"
        },
        {
          "value": "150"
        }
      ]
    }
  ]
}

HTML

<html>

<head>
      <title>My first chart using FroalaCharts</title>
     
  <script src=https://unpkg.com/[email protected]/froalacharts.js></script>
  <script src="https://unpkg.com/[email protected]/themes/froalacharts.theme.froala.js"></script> 

 <script type="text/javascript">   
        var data = {
            chart: {
    caption: "Yearly Energy Production",
    numbersuffix: " TWh",
    formatnumberscale: "0",
    showvalues: "0",
    drawcrossline: "1",
    showsum: "1",
    plottooltext: "$dataValue from $seriesName",
    theme: "froala"
  },
  categories: [
    {
      category: [
        {
          label: "Canada"
        },
        {
          label: "China"
        },
        {
          label: "Russia"
        },
        {
          label: "Australia"
        },
        {
          label: "United States"
        },
        {
          label: "France"
        }
      ]
    }
  ],
  dataset: [
    {
      seriesname: "Coal",
      data: [
        {
          value: "400"
        },
        {
          value: "830"
        },
        {
          value: "500"
        },
        {
          value: "420"
        },
        {
          value: "790"
        },
        {
          value: "380"
        }
      ]
    },
    {
      seriesname: "Hydro",
      data: [
        {
          value: "350"
        },
        {
          value: "620"
        },
        {
          value: "410"
        },
        {
          value: "370"
        },
        {
          value: "720"
        },
        {
          value: "310"
        }
      ]
    },
    {
      seriesname: "Nuclear",
      data: [
        {
          value: "210"
        },
        {
          value: "400"
        },
        {
          value: "450"
        },
        {
          value: "180"
        },
        {
          value: "570"
        },
        {
          value: "270"
        }
      ]
    },
    {
      seriesname: "Gas",
      data: [
        {
          value: "180"
        },
        {
          value: "330"
        },
        {
          value: "230"
        },
        {
          value: "160"
        },
        {
          value: "440"
        },
        {
          value: "350"
        }
      ]
    },
    {
      seriesname: "Oil",
      data: [
        {
          value: "60"
        },
        {
          value: "200"
        },
        {
          value: "200"
        },
        {
          value: "50"
        },
        {
          value: "230"
        },
        {
          value: "150"
        }
      ]
    }
  ]
};


        FroalaCharts.ready(function () {
            froalacharts = new FroalaCharts({
                id: "chart_1",
                type: 'stackedarea',
                renderAt: 'ft',
                width: '800',
                height: '500',
                dataSource: data
            });
            froalacharts.render();
        });
    </script>
    
</head>


<div id="msg" class="mb-20"> Chart data in the selected format will be displayed here.</div>

<body>
    <div id="ft">FroalaCharts will render here</div>
</body>

</html>