Reputation: 29
I want to populate a dynamic column chart such that the rows as well the columns are dynamic.
Here is a sample json array that I want to transform:
{"location":"Chain","item_category":"A","delay":"681"},
{"location":"Chennai ","item_category":"A","delay":"286"},{"location":"Bawal","item_category":"A","delay":"339"},{"location":"Haridwar","item_category":"A","delay":"1256"},{"location":"Ludhiana","item_category":"A","delay":"1048"},{"location":"Bawal","item_category":"B","delay":"1"}
There are 3 parameters namely location, item_category and delay where:
So far, I'm able to fetch all the required data but unable to create a graph out of it. I have referred to various libraries such as Google-visualization
, Pchart
, JPGraph
and many more.
Each time I freeze on populating the graph dynamically.
Here is a sample code for populating Google Column Chart:
<script type="text/javascript" src="https://www.gstatic.com/charts/loader.js"></script>
<script type="text/javascript">
google.charts.load('current', {'packages':['bar']});
google.charts.setOnLoadCallback(drawChart);
function drawChart() {
var data = google.visualization.arrayToDataTable([
['Item Category', 'Location 1', 'Location 2', 'Location 3,...'],
['item1', 1000, 400, 200,...delay value of location 'n'],
['item2', 1170, 460, 250,...],
['item3', 660, 1120, 300]...],
['item4', 1030, 540, 350]
.
.
]);
//I want to populate this data variable using PHP
var chart = new google.charts.Bar(document.getElementById('my_Chartid'));
chart.draw(data, google.charts.Bar.convertOptions(options));
}
These are the links I have referred. I want to populate this data
variable in javascript dynamically.
https://developers.google.com/chart/interactive/docs/gallery/columnchart
Upvotes: 1
Views: 2286
Reputation: 61212
first, need to convert json data to normal array
then use a data view to create a column for each category
then aggregate the data and draw the chart
google.charts.load('current', {
callback: function () {
var jsonData = [
{"location":"Chain","item_category":"A","delay":"681"},
{"location":"Chennai ","item_category":"A","delay":"286"},
{"location":"Bawal","item_category":"A","delay":"339"},
{"location":"Haridwar","item_category":"A","delay":"1256"},
{"location":"Ludhiana","item_category":"A","delay":"1048"},
{"location":"Bawal","item_category":"B","delay":"100"}
];
// load chart data
var chartData = [];
jsonData.forEach(function (row, rowIndex) {
// column headings
var columns = Object.keys(row);
if (rowIndex === 0) {
chartData.push(columns);
}
// row values
var chartRow = [];
columns.forEach(function (column, colIndex) {
var chartCell = row[column];
if (colIndex > 1) {
chartCell = parseFloat(chartCell);
}
chartRow.push(chartCell);
});
chartData.push(chartRow);
});
var data = google.visualization.arrayToDataTable(chartData);
// create data view
var view = new google.visualization.DataView(data);
// init column arrays
var aggColumns = [];
var viewColumns = [0];
// build view & agg column for each category
data.getDistinctValues(1).forEach(function (category, index) {
// add view column
viewColumns.push({
calc: function (dt, row) {
if (dt.getValue(row, 1) === category) {
return dt.getValue(row, 2);
}
return null;
},
label: category,
type: 'number'
});
// add agg column
aggColumns.push({
aggregation: google.visualization.data.sum,
column: index + 1,
label: category,
type: 'number'
});
});
// set view columns
view.setColumns(viewColumns);
// agg view
var group = google.visualization.data.group(
view,
[0],
aggColumns
);
var chart = new google.charts.Bar(document.getElementById('chart_div'));
// use group data to draw chart
chart.draw(group);
},
packages:['bar']
});
<script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.1/jquery.min.js"></script>
<script src="https://www.gstatic.com/charts/loader.js"></script>
<div id="chart_div"></div>
Upvotes: 1