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Introduction
Google Charts is a powerful, easy-to-use tool for creating a
variety of interactive, visually appealing charts and graphs. It is an
excellent library for creating dynamic data visualizations on the web, offering
rich, customizable features, with a focus on integration and ease of use.
Google Charts supports multiple chart types, such as line charts, bar
charts, pie charts, scatter plots, and geo charts,
among others. It allows users to create interactive and informative data
visualizations directly within web applications.
In this chapter, we will explore how to use Google Charts
for visualizing data, particularly focusing on:
We will cover the basics of Google Charts, as well as dive
into more complex visualizations, providing practical examples along the way.
By the end of this chapter, you will be proficient in using Google Charts
to create interactive and informative graphs and charts for web applications.
1. Setting Up Google Charts
Before we start creating charts, we need to include the Google
Charts API in our project. Google Charts is hosted on Google’s servers, so
it’s easy to include via a simple script tag.
Including Google Charts in Your HTML
To use Google Charts, add the following <script> tag
to your HTML document:
<script
type="text/javascript" src="https://www.gstatic.com/charts/loader.js"></script>
Once you’ve included this script, you need to load the Google
Charts API before creating any charts. This is done using the google.charts.load
function, specifying the chart library and the version.
google.charts.load('current',
{'packages':['corechart', 'bar']});
google.charts.setOnLoadCallback(drawChart);
The corechart package is the default package for most types
of charts, and bar is required for bar charts. You can load additional chart
types by specifying them in the packages array.
2. Creating Basic Charts with Google Charts
Google Charts offers a wide range of chart types, including
line charts, bar charts, pie charts, and more. Let’s start with the basics by
creating a simple line chart.
2.1 Line Chart Example
A line chart is used to represent data trends over time.
Here’s how you can create a basic line chart with Google Charts:
<!DOCTYPE
html>
<html
lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width,
initial-scale=1.0">
<title>Google Chart - Line Chart</title>
<script type="text/javascript"
src="https://www.gstatic.com/charts/loader.js"></script>
<script type="text/javascript">
google.charts.load('current', {'packages':['corechart']});
google.charts.setOnLoadCallback(drawChart);
function drawChart() {
var data = google.visualization.arrayToDataTable([
['Year', 'Sales'],
['2014', 1000],
['2015', 1170],
['2016', 660],
['2017', 1030]
]);
var options = {
title: 'Company Sales',
curveType: 'function',
legend: { position: 'bottom' }
};
var chart = new google.visualization.LineChart(document.getElementById('lineChart'));
chart.draw(data, options);
}
</script>
</head>
<body>
<div id="lineChart" style="width:
900px; height: 500px;"></div>
</body>
</html>
Explanation:
2.2 Bar Chart Example
A bar chart is ideal for comparing data across different
categories. Let’s create a simple bar chart:
<!DOCTYPE
html>
<html
lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width,
initial-scale=1.0">
<title>Google Chart - Bar Chart</title>
<script type="text/javascript"
src="https://www.gstatic.com/charts/loader.js"></script>
<script type="text/javascript">
google.charts.load('current', {'packages':['corechart',
'bar']});
google.charts.setOnLoadCallback(drawChart);
function drawChart() {
var data = google.visualization.arrayToDataTable([
['City', '2010 Population', '2000
Population'],
['New York City', 8175133, 8008278],
['Los Angeles', 3792621, 3694820],
['Chicago', 2695598, 2896016],
['Houston', 2129784, 1953631],
['Phoenix', 1445632, 1321045]
]);
var options = {
chart: {
title: 'Population of
Largest U.S. Cities',
subtitle: '2010 vs. 2000'
}
};
var chart = new google.visualization.BarChart(document.getElementById('barChart'));
chart.draw(data, options);
}
</script>
</head>
<body>
<div id="barChart" style="width:
900px; height: 500px;"></div>
</body>
</html>
Explanation:
2.3 Pie Chart Example
A pie chart is used to display proportions of a
whole. Here’s how you can create a basic pie chart using Google Charts:
<!DOCTYPE
html>
<html
lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width,
initial-scale=1.0">
<title>Google Chart - Pie Chart</title>
<script type="text/javascript"
src="https://www.gstatic.com/charts/loader.js"></script>
<script type="text/javascript">
google.charts.load('current', {'packages':['corechart',
'pie']});
google.charts.setOnLoadCallback(drawChart);
function drawChart() {
var data = google.visualization.arrayToDataTable([
['Task', 'Hours per Day'],
['Work', 11],
['Eat', 2],
['Commute', 2],
['Watch TV', 3],
['Sleep', 8]
]);
var options = {
title: 'My Daily Activities'
};
var chart = new google.visualization.PieChart(document.getElementById('pieChart'));
chart.draw(data, options);
}
</script>
</head>
<body>
<div id="pieChart" style="width:
900px; height: 500px;"></div>
</body>
</html>
Explanation:
3. Customizing Google Charts
Google Charts provides multiple options for customizing your
charts. You can modify:
Here’s how you can customize a pie chart with a different
color scheme and add a legend:
var
options = {
title: 'My Daily Activities',
slices: {
0: { offset: 0.1 },
1: { offset: 0.2 },
2: { offset: 0.3 }
},
legend: { position: 'bottom' },
colors: ['#ff6347', '#ff9900', '#98fb98', '#add8e6',
'#dda0dd']
};
Explanation:
4. Handling Dynamic Data and Real-Time Updates
Google Charts allows you to dynamically update your charts
with new data. You can use the data.addRow() and chart.draw() methods to update
the chart in real-time.
Here’s an example of dynamically updating a line chart:
function
updateChartData() {
myChart.data.addRow([new Date(), Math.random()
* 100]); // Add new data
myChart.draw();
}
setInterval(updateChartData,
1000); // Update every second
This example adds a new random value to the chart every
second, simulating real-time data updates.
5. Advanced Google Charts
Google Charts offers advanced chart types such as Geo
charts, Gantt charts, and Org charts. These charts provide
enhanced features for specialized use cases, such as geographical
visualizations, project timelines, and organizational hierarchies.
5.1 Geo Chart
Geo charts allow you to display data on a map. It is ideal
for representing data by country, region, or city.
var
data = google.visualization.arrayToDataTable([
['Country', 'Popularity'],
['Germany', 200],
['United States', 300],
['Brazil', 400],
['Canada', 500]
]);
var
chart = new google.visualization.GeoChart(document.getElementById('geoChart'));
chart.draw(data,
{ width: 800, height: 600 });
5.2 Gantt Chart
Gantt charts are used for visualizing project timelines. You
can create Gantt charts using Google Charts' Gantt chart component to
display project tasks over time.
6. Conclusion
In this chapter, we’ve covered the following topics:
Google Charts is a versatile tool that allows you to
create a wide range of interactive charts. With its simplicity and powerful
customization options, it’s an excellent choice for adding data visualizations
to your web applications.
Answer: Canvas is a raster-based graphics API used for drawing shapes, images, and animations, while SVG is vector-based, meaning it represents graphics using paths and shapes that scale infinitely without losing quality.
Answer: You can animate objects in the Canvas API by continuously clearing the canvas and redrawing the objects with updated positions. Use requestAnimationFrame() for smooth animations.
Answer: WebGL is primarily designed for 3D graphics, but it can also be used for 2D graphics by setting up an orthogonal projection matrix. However, for purely 2D graphics, the Canvas API is typically more efficient.
Answer: WebGL allows you to leverage the power of the GPU, enabling real-time rendering of complex 3D scenes, which is not possible with other methods like Canvas or SVG.
Answer: WebGL is supported in most modern browsers, but older browsers or devices with limited GPU support might not fully support it. You can check for WebGL support and fall back to other rendering methods if necessary.
Answer: Use requestAnimationFrame for smooth animations, avoid unnecessary redraws, clean up resources (textures, buffers), and consider using WebGL for hardware acceleration when working with 3D graphics.
Answer: In WebGL, shaders are written in GLSL (OpenGL Shading Language). You write vertex and fragment shaders, compile them, and link them to the WebGL program for rendering.
Answer: Both Canvas and SVG can be used for interactive graphics. Canvas is better for pixel-based or real-time applications like games and animations, while SVG is better for static, scalable graphics with interactive elements like buttons or charts.
Answer: 2D rendering uses simple drawing commands in Canvas or SVG, while 3D rendering involves handling complex transformations, lighting, and textures in WebGL, utilizing the GPU for accelerated performance.
Answer: Yes, WebGL is widely used for creating games in the browser due to its ability to render complex 3D scenes with high performance, making it a popular choice for web-based game development.
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