Loading
Creating Logarithmic Charts
FusionCharts Suite XT allows you to plot two types of logarithmic charts - log column charts and log line charts.
In this section, you will be shown how you can:
-
Create the log line 2D chart
-
Create the log column 2D chart
Creating the Log Column 2D Chart
As an example, we will create a log column 2D chart that compares the store footfalls with the online visits for one year.
The log column chart thus rendered looks like this:
The data structure needed to render the above log column chart is given below:
{
"chart": {
"caption": "Store footfall vs Online visitors ",
"subCaption": "Last Year",
"captionFontSize": "14",
"subcaptionFontSize": "14",
"subcaptionFontBold": "0",
"baseFontColor": "#333333",
"baseFont": "Helvetica Neue,Arial",
"xAxisName": "Quarter",
"yAxisName": "No of visitors",
"paletteColors": "#0075c2,#1aaf5d",
"bgColor": "#ffffff",
"showBorder": "0",
"showCanvasBorder": "0",
"showPlotBorder": "0",
"showAlternateHgridColor": "0",
"showXAxisLine": "1",
"usePlotGradientcolor": "0",
"valueFontColor": "#ffffff",
"placeValuesInside": "1",
"rotateValues": "1",
"LegendShadow": "0",
"legendBorderAlpha": "0",
"base": "10",
"axisLineAlpha": "10",
"toolTipColor": "#ffffff",
"toolTipBorderThickness": "0",
"toolTipBgColor": "#000000",
"toolTipBgAlpha": "80",
"toolTipBorderRadius": "2",
"toolTipPadding": "5",
"divlineAlpha": "100",
"divlineColor": "#999999",
"divlineThickness": "1",
"divLineIsDashed": "1",
"divLineDashLen": "1",
"divLineGapLen": "1"
},
"categories": [
{
"category": [
{
"label": "Q1"
},
{
"label": "Q2"
},
{
"label": "Q3"
},
{
"label": "Q4"
}
]
}
],
"dataset": [
{
"seriesname": "Total footfalls",
"data": [
{
"value": "126734"
},
{
"value": "159851"
},
{
"value": "197393"
},
{
"value": "168560"
},
{
"value": "199428"
}
]
},
{
"seriesname": "Online Visits",
"data": [
{
"value": "1126059"
},
{
"value": "1292145"
},
{
"value": "1496849"
},
{
"value": "1460249"
},
{
"value": "1083962"
}
]
}
]
}
Creating the Log Line 2D Chart
As an example, we will create a log line 2D chart that compares the store footfalls with the online visits for one year.
The log line chart thus rendered looks like this:
The data structure needed to render the above log line chart is given below:
{
"chart": {
"caption": "Store footfall vs Online visitors ",
"subCaption": "Last Year",
"xAxisName": "Quarter",
"yAxisName": "USD",
"paletteColors": "#008ee4,#6baa01,#e44a00",
"bgAlpha": "0",
"borderAlpha": "20",
"canvasBorderAlpha": "0",
"LegendShadow": "0",
"legendBorderAlpha": "0",
"showXAxisLine": "1",
"showValues": "0",
"showBorder": "0",
"showAlternateHgridColor": "0",
"base": "10",
"numberprefix": "$",
"axisLineAlpha": "10",
"divLineAlpha": "10",
"toolTipColor": "#ffffff",
"toolTipBorderThickness": "0",
"toolTipBgColor": "#000000",
"toolTipBgAlpha": "80",
"toolTipBorderRadius": "2",
"toolTipPadding": "5"
},
"categories": [
{
"category": [
{
"label": "Q1"
},
{
"label": "Q2"
},
{
"label": "Q3"
},
{
"label": "Q4"
}
]
}
],
"dataset": [
{
"seriesname": "Total footfalls",
"data": [
{
"value": "126734"
},
{
"value": "159851"
},
{
"value": "197393"
},
{
"value": "168560"
},
{
"value": "199428"
}
]
},
{
"seriesname": "Online Visits",
"data": [
{
"value": "1126059"
},
{
"value": "1292145"
},
{
"value": "1496849"
},
{
"value": "1460249"
},
{
"value": "1083962"
}
]
}
]
}
There! You have now seen how you can create the logarithmic column and line charts.