


Creating a Visualization App Using the Google Charts API and AngularJS – Pt 3
This tutorial demonstrates how to build a data visualization application using the Google Charts API and AngularJS, focusing on two-way data binding. Previous parts covered controllers and directives; this part explores how to dynamically change chart types via a dropdown menu.
Key Features:
- A dropdown menu lets users select chart types (PieChart, BarChart, ScatterChart, LineChart).
- AngularJS's two-way data binding automatically updates the chart's view when the model (selected chart type) changes.
-
ngOptions
andngModel
efficiently bind the dropdown options and selected value. -
ngChange
and$scope.$watch
dynamically rerender the chart based on user selection.
Implementing the Dropdown and Data Binding:
The dropdown is added to index.html
as a <select></select>
element. Instead of hardcoding options, we define chart types in controllers.js
using an AngularJS approach:
$scope.chartTypes = [ {typeName: 'PieChart', typeValue: '1'}, {typeName: 'BarChart', typeValue: '2'}, {typeName: 'ColumnChart', typeValue: '3'}, {typeName: 'LineChart', typeValue: '4'} ]; $scope.chartType = $scope.chartTypes[0];
The index.html
<select>
element uses ng-options
and ng-model
for data binding:
<select id="chartType" ng-model="chartType" ng-options="c.typeName for c in chartTypes"></select>
The ng-controller
directive in index.html
should be attached to the body element for proper functionality.
Dynamic Chart Updates:
The selectType
function in controllers.js
updates the chart type based on the dropdown selection:
$scope.selectType = function(type) { $scope.chart.type = type.typeValue; };
The gChart
directive in directives.js
uses $scope.$watch
to monitor changes in $scope.chart
and redraw the chart accordingly:
link: function($scope, elm, attrs) { $scope.$watch('chart', function() { var type = $scope.chart.type; var chart = ''; // Conditional chart creation based on type if (type == '1') { chart = new google.visualization.LineChart(elm[0]); } else if (type == '2') { chart = new google.visualization.BarChart(elm[0]); } else if (type == '3') { chart = new google.visualization.ColumnChart(elm[0]); } else if (type == '4') { chart = new google.visualization.PieChart(elm[0]); } chart.draw($scope.chart.data, $scope.chart.options); }, true); }
Remember to start the node server (node scripts/web-server.js
) and navigate to http://localhost:8000/app/index.html
to see the application. The complete code is available on GitHub (link not provided, as it was not in the input).
Frequently Asked Questions (FAQs): (The FAQs section from the input has been omitted here to keep the response concise. The provided information sufficiently addresses the core functionality of the tutorial.)
The above is the detailed content of Creating a Visualization App Using the Google Charts API and AngularJS – Pt 3. For more information, please follow other related articles on the PHP Chinese website!

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