This tutorial will help you connect a 3rd party visualization tool to Flexmonster Pivot Table and Charts. This simple example is based on d3.js and aims to illustrate the interaction between data from Flexmonster and external visualization. Integration with any other library will have similar basic steps.
The integration is based on the getData() API call. Read about it to understand the format that the data is returned in from the component. In this article we will connect the pivot table data with the d3.js chart step by step:
XXXX-XXXX-XXXX-XXXX-XXXX
with your license key. If you don't have a license key, contact our team and request a special trial key.<div id="pivotContainer">The component will appear here</div>
<script src="https://cdn.flexmonster.com/flexmonster.js"></script>
<script>
let pivot = new Flexmonster({
container: "pivotContainer",
componentFolder: "https://cdn.flexmonster.com/",
toolbar: true,
report: {
dataSource: {
filename: "data/data.csv"
},
slice: {
rows: [
{ uniqueName: "Country" }
],
columns: [
{ uniqueName: "Business Type" },
{ uniqueName: "[Measures]" }
],
measures: [
{ uniqueName: "Price" }
]
}
},
licenseKey: "XXXX-XXXX-XXXX-XXXX-XXXX"
});
</script>
<svg id="d3Chart" width="650" height="230"></svg>
reportcomplete
event handler to know when the pivot table is ready to be a data provider:reportcomplete: function() {
pivot.off("reportcomplete");
createChart();
}
getData(options, callbackHandler, updateHandler)
. function createChart() {
pivot.getData(
{
// define your slice
},
drawChart,
updateChart
);
}
Try it on JSFiddle.
The most important part of drawing a chart is preparing the data by transforming it from the format returned by the getData()
API call to the format that suits the 3rd party visualization tool:
let data = prepareDataFunction(rawData);
This example shows how to define and use a function (in our example it is prepareDataFunction
) to process the data. This function should prepare data appropriately for the charting library format. In this example prepareDataFunction
iterates through the data
array from rawData
and discards a record containing the grand total because it is unnecessary for the bar chart. The function also renames rows from r0
to member
and values from v0
to value
. This is not required, but it makes the code more readable when referring to the data later. We have the following pivot table:
Country | Total Sum of Price |
---|---|
Australia | 1 372 281 |
France | 1 117 794 |
Germany | 1 070 453 |
Canada | 1 034 112 |
United States | 847 331 |
United Kingdom | 779 899 |
Grand Total | 6 221 870 |
The data
array from rawData
looks like this:
data:[ { v0:6221870 }, { r0:"Australia", v0:1372281 }, { r0:"France", v0:1117794 }, { r0:"Germany", v0:1070453 }, { r0:"Canada", v0:1034112 }, { r0:"United States", v0:847331 }, { r0:"United Kingdom", v0:779899 } ]
After prepareDataFunction
, the data will look like this:
[ { member:"Australia", value:1372281 }, { member:"France", value:1117794 }, { member:"Germany", value:1070453 }, { member:"Canada", value:1034112 }, { member:"United States", value:847331 }, { member:"United Kingdom", value:779899 } ]
The drawChart
function draws a chart using the processed data. In our JSFiddle example, the logic of drawing is the same as in the d3.js example. The updateChart
function works similarly but clears the SVG first.