Data Marker

Data marker in a chart represents an important event, which occurred on a specific data point. Hovering on a data marker shows additional description of the event in the tooltip.

Data Markers are not applicable on Stock Charts.

The image below shows the data marker on a time series chart:

Data Markers

Create Data Markers

To create data markers, follow the steps given below:

  • Create a dataMarker object in the dataSource.

  • Within the dataMarker object use the time attribute to set the time instance on which the data marker will be displayed.

  • Within the dataMarker object use the timeFormat attribute to set the format of the date/time corresponding to the marker.

  • Within the dataMarker object use the type attribute to define the type of the marker as flag.

  • Within the dataMarker object use the value attribute to specify the y-axis label on which the data marker will be applied.

  • Within the dataMarker object use the identifier attribute to set the character to be displayed within the marker.

  • Within the dataMarker object use the tooltext attribute to set the text to be displayed in the tooltip, when you hover the mouse pointer over the data marker.

Refer to the code given below:

dataMarker: [{
    series: "Interest Rate",
    time: "Mar-1980",
    identifier: "H",
    timeFormat: "%b-%Y",
    tooltext: "As a part of credit control program, under the leadership of Paul Volcker, the Fed tightened the money supply, allowing the federal fund rates to approach 20 percent."
}, {
    series: "Interest Rate",
    time: "Aug-1982",
    identifier: "L",
    timeFormat: "%b-%Y",
    tooltext: "The FED eases off the monetary brakes, allowing interest rates to fall and the economy to begin a strong recovery."
}, {
    series: "Interest Rate",
    time: "Oct-1987",
    identifier: "L",
    timeFormat: "%b-%Y",
    tooltext: "The FED is forced to ease rate after the stock market crash."
}, {
    series: "Interest Rate",
    time: "May-1989",
    identifier: "H",
    timeFormat: "%b-%Y",
    tooltext: "Liquidity problem forced the Fed to increase rate to nearly 10%."
}, {
    series: "Interest Rate",
    time: "Sept-1992",
    identifier: "L",
    timeFormat: "%b-%Y",
    tooltext: "To fight the jobless economy growth the Fed had to reduce the interest rate to 3%."
}, {
    series: "Interest Rate",
    time: "Jun-2003",
    identifier: "L",
    timeFormat: "%b-%Y",
    tooltext: "Struggling to revive the economy, the FED cuts it’s benchmark rate to 1%."
}, {
    series: "Interest Rate",
    time: "Sep-2007",
    identifier: "L",
    timeFormat: "%b-%Y",
    tooltext: "Fed started reducing the Federal Fund Rate."
}, {
    series: "Interest Rate",
    time: "Dec-2008",
    identifier: "L",
    timeFormat: "%b-%Y",
    tooltext: "Fed reduced the interest rates to sub 0.25% to manage the menace of longest economic downturn since World War 2"
}],

The data marker created using the above code is shown below:

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Data Markers in MultiVariate Chart

When representing time-series data, it is important to mark events which have happened on a particular set of data points at a specific time. In order to achieve this, FusionTime allows you to specify data markers for some specific canvases as well.

Let's take an example of the following data.

Date Item Units Sold Sales (USD)
2020-1-1 Cake 188 1880
2020-1-1 Cookie 133 339
2020-1-1 Candy 121 84.7
2024-9-17 Cake 2 20
2024-9-17 Cookie 277 831
2024-9-17 Candy 219 153.3
2027-4-13 Cake 168 1680
2027-4-13 Cookie 227 681
2027-4-13 Candy 397 277.9
2029-12-31 Cake 46 460
2029-12-31 Cookie 105 315
2029-12-31 Candy 154 107.8

For the complete data click here.

Now, let’s add the events held on particular dates in the JSON using data markers. The code is shown below:

{
  "caption": {
    "text": "La petite boulangerie"
  },
  "subcaption": {
    "text": "Units Sold and Sales over 10 years"
  },
  "series": "Item",
  "dataMarker": [
    {
      "time": "2024-9-17",
      "timeFormat": "%Y-%-m-%-d"
    },
    {
      "time": "2027-4-13",
      "timeFormat": "%Y-%-m-%-d"
    }
  ]
}

In the above code:

  • dataMarker has been set under the dataSource.
  • The time attribute specifies the date of the event held.
  • the timeFormat attribute specifies the date/time format.

The chart looks as shown below:

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In the above chart, the data markers have been marked on both the canvases of the chart. There can be a case, where you want to apply a data marker to a particular canvas of a multivariate chart.

For example:

  • The event occured on 2024-9-17 affects both the canvases, i.e., Units Sold and the Sales of Cake.
  • The second event occured on 2027-3-28 affects on the canvas of Units Sold on both the items, i.e., Candy and Cookie.

To apply data marker to the chart for the above scenerio, let's create the data markers one after the other. Follow the steps below:

Step 1

Data marker on 2024-9-17 will only shown on the series for Cake and the value will be derived from Units Sold.

Refer to the code:

{
  "time": "2024-9-17",
  "timeFormat": "%Y-%-m-%-d",
  "value": "Units Sold",
  "series": {
    "Item": "Cake"
  }
}

Step 2

Data marker on 2024-9-17 will only be shown on the series for Cake and the value will be derived from Sales (USD).

Refer to the code:

{
  "time": "2024-9-17",
  "timeFormat": "%Y-%-m-%-d",
  "value": "Sales (USD)",
  "series": {
    "Item": "Cake"
  }
}

Step 3

Data marker on 2027-4-13 will only be shown on the series for Cookie and the value will be derived from Units Sold.

Refer to the code:

{
  "time": "2027-4-13",
  "timeFormat": "%Y-%-m-%-d",
  "value": "Units Sold",
  "series": {
    "Item": "Cookie"
  }
}

Step 4

Data marker on 2027-4-13 will only be shown on the series for Candy and the value will be derived from Units Sold.

Refer to the code:

{
  "time": "2027-4-13",
  "timeFormat": "%Y-%-m-%-d",
  "value": "Units Sold",
  "series": {
    "Item": "Candy"
  }
}

The consolidated code of the above created data marker is:

{
  "caption": {
    "text": "La petite boulangerie"
  },
  "subcaption": {
    "text": "Units Sold and Sales over 10 years"
  },
  "series": "Item",
  "dataMarker": [
    {
      "time": "2024-9-17",
      "timeFormat": "%Y-%-m-%-d",
      "tooltext": "Lowest units of Cake sold since cake decorator was fired.",
      "value": "Units Sold",
      "identifier": "C",
      "series": {
        "Item": "Cake"
      }
    },
    {
      "time": "2024-9-17",
      "timeFormat": "%Y-%-m-%-d",
      "tooltext": "Lowest sales of Cake since cake decorator was fired.",
      "value": "Sales (USD)",
      "identifier": "C",
      "series": {
        "Item": "Cake"
      }
    },
    {
      "time": "2027-4-13",
      "timeFormat": "%Y-%-m-%-d",
      "tooltext": "Units of Cookie sold affected by Candy discount.",
      "value": "Units Sold",
      "identifier": "K",
      "series": {
        "Item": "Cookie"
      }
    },
    {
      "time": "2027-4-13",
      "timeFormat": "%Y-%-m-%-d",
      "tooltext": "Max units of Candy sold since Candy discount started.",
      "value": "Units Sold",
      "identifier": "D",
      "series": {
        "Item": "Candy"
      }
    }
  ]
}

The chart looks as shown below:

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