This document introduces Google Chart Tools, which allows users to create interactive charts and maps from various data sources. It has several advantages, including customization to fit website designs, cross-browser compatibility, and connection to real-time dynamic data. The tool uses HTML5/SVG technology and has a library of chart types. Charts can be created by loading libraries, populating data tables from sources, customizing options, and drawing the chart. Various chart types are demonstrated, including area, bar, gauge, geo, table, tree, combo, line, scatter, candlestick, and organizational charts. Examples show how to query external data and customize visualizations.

1. Kanika Garg 10BM60035
Lavanya R. 10BM60042

2. Introduction
 GCT is a tool for creating charts and maps from data available
 Any data source which uses the “Chart Tools Data Source” Protocol
can be used to pick up data to create these charts.
 Various Data sources:
 Google Spreadsheets
 Google Fusion Tables and
 Some third party data providers like ‘Salesforce’
 If you own a website and implement this protocol, you can also
become a data provider for Google Chart Tools.

3. Advantages of the tool
 With this tool, you can customize your charts to fit the look and feel
of your website. Charts are highly interactive.
 HTML5/SVG technology is used to create these charts and it
provides cross-browser compatibility and cross platform
portability to iPhones, iPads and Android. No plugins are needed.
 It is a Free Tool which can connect to your real time data (Dynamic
Data)
 Rich Gallery: It has a vast library of charts, maps and tables which
can be used to visualize and customize your data according to your
requirements

4. Building Blocks
 Chart Library - Charts are exposed as JavaScript classes. The charts
can be customized easily according to the look and feel of your
website.
 Data Tables - The charts are populated with the data from the
JavaScript DataTable class. The common data structure facilitates
easily switching between different types
 Data Sources - The data can be queried from the websites that
implement the Chart Tools Datasource.

6. Chart Creation
The charts can be rendered in your webpage by coding the charts and
customizing it according to your needs.
Important Parts of the Script :
 Loading the chart libraries
 The Google JSAPI API
 The Google Visualization library and
 The library for the chart itself

7.  Data for charts
 Data should be wrapped in a JavaScript class called google.
visualization.DataTable.
 DataTable is two-dimensional table with rows and columns. Each
column has a datatype, an optional ID and an optional Label.
 Various Ways To Create and Populate the Data Tables:
 Create a new DataTable, then call
addColumn()/addRows()/addRow()/setCell()
 arrayToDataTable()
 JavaScript literal initializer
 Sending a Datasource Query

8.  Customizing the chart
 Each chart has options including title, colours, line
thickness, backgroundfill, and so on that are customizable to
your needs.
 Specify custom options for your chart by defining a JavaScript
object with option_name/option_value properties.
 Every chart has its own list of options and a default value for the
option.

9.  Draw the Chart
 The final step is to draw the chart and for that you must first
instantiate an instance the chart followed by calling the draw().
The chart type is based on a class and the appropriate package of
the base class should have been included in the library. The
instance would look like:
 var chart =
new google.visualization.Piechart(document.getElementById(‘c
hart_div’));
 Data and the options for the chart should be prepared before the
chart is drawn. Along with this the <div> element of the HTML
page should also be ready to place the chart you are about to
draw.

10. Chart Types
Area Chart

11. var ac = new
google.visualization.AreaChart(document.getElementById('visualizatio
n'));
ac.draw(data, {
title : 'Monthly Coffee Retail Price by Country',
isStacked: true,
width: 600,
height: 400,
vAxis: {title: "Price"},
hAxis: {title: "Month"}
});

12. Bar Chart
google.visualization.BarChart(
document.getElementById('visualization')).

13. Gauge Chart
Gauge chart(dial chart) reperesents one or more values as needles on
a circular or semi-circular surface. This is rendered using 'Gauge'
which is in the package 'gauge'.
new google.visualization.Gauge(document.getElementById('visualiz
ation')).
draw(data);

14. var data = new google.visualization.DataTable();
data.addColumn('string', 'Label');
data.addColumn('number', 'Value');
data.addRows(3);
data.setValue(0, 0, 'Speed');
data.setValue(0, 1, 80);
data.setValue(1, 0, 'Petrol');
data.setValue(1, 1, 8);
data.setValue(2, 0, 'Temperature');
data.setValue(2, 1, 25);

15. Geo Chart
var chart = new
google.visualization.GeoChart(document.getElement
ById('chart_div'));

16. Table Chart
Boolean values are displayed as check marks.
var table = new
google.visualization.Table(document.getElementById('table_div'));

17. var data = new google.visualization.DataTable();
data.addColumn('string', 'Name');
data.addColumn('number', 'RollNo');
data.addColumn('boolean', 'Have ITBI Elective');
data.addRows(3);
data.setCell(0, 0, 'Kanika');
data.setCell(1, 0, 'Anita');
data.setCell(2, 0, 'Lavanya');
data.setCell(0, 1, 35);
data.setCell(1, 1, 100);
data.setCell(2, 1, 42);
data.setCell(0, 2, true);
data.setCell(1, 2, false);
data.setCell(2, 2, true);

18. Tree Map Chart
Here each node can have zero or more children, and one parent (except for the
root, which has no parents). Each node is displayed as a rectangle, sized and
colored according to values that you assign. Sizes and colors are valued relative
to all other nodes in the graph. You can specify how many levels to display
simultaneously

20. Combo Chart
var chart = new
google.visualization.ComboChart(document.getElementById('chart_div'));

21. Line Chart
var chart = new
google.visualization.LineChart(document.getElementById('chart
_div'));

22. Line Chart

23. Scatter Chart

24. Candle Stick Chart

25. Example 1:
function drawVisualization() {
var data = new google.visualization.DataTable();
data.addColumn('string', ‘DivisionName');
data.addColumn('string', 'Falls Under');
data.addRows(15);
data.setCell(0, 0, 'PwC Global Model');
data.setCell(1, 0,
'Advisory', 'Advisory<br/><font color="red"><i>Comes for Placements to
VGSOM<i></font>');
data.setCell(1, 1, 'PwC Global Model');
data.setCell(2, 0, 'Tax and regulatory Services');
data.setCell(2, 1, 'PwC Global Model');
data.setCell(3, 0, 'Assurance');
data.setCell(3, 1, 'PwC Global Model');
data.setCell(4, 0, 'Consulting');
data.setCell(4, 1, 'Advisory');
data.setCell(5, 0, 'GRID');
data.setCell(5, 1, 'Advisory');

26. data.setCell(6, 0, 'Financial Advisory Services');
data.setCell(6, 1, 'Advisory');
data.setCell(7, 0, 'Internal Audit Services');
data.setCell(7, 1, 'Advisory');
data.setCell(8, 0, 'Mergers and Acquisitions');
data.setCell(8, 1, 'Tax and regulatory Services');
data.setCell(9, 0, 'Indirect Tax');
data.setCell(9, 1, 'Tax and regulatory Services');
data.setCell(10, 0, 'Direct Tax');
data.setCell(10, 1, 'Tax and regulatory Services');
data.setCell(11, 0, 'Transfer Pricing');
data.setCell(11, 1, 'Tax and regulatory Services');
data.setCell(11, 0, 'System Process Assurance');
data.setCell(11, 1, 'Assurance');
data.setCell(12, 0, 'Statutory Audit');
data.setCell(12, 1, 'Assurance');
// Create and draw the visualization.
new google.visualization.OrgChart(document.getElementById('visualization')).
draw(data, {allowHtml: true});
}

27. Organisational Chart

28. Example 2:
function drawVisualization() {
var query = new google.visualization.Query(
'https://docs.google.com/spreadsheet/ccc?key=0AsVUeZINdWEmdGl4R2dCMVhFbGhGWGxISEJB
RFBCNmc#gid=0');
query.setQuery('SELECT A,D WHERE D > 5000 ORDER BY A');
query.send(handleQueryResponse);
}
function handleQueryResponse(response) {
if (response.isError()) {
alert('Error in query: ' + response.getMessage() + ' ' + response.getDetailedMessage());
return;
}
var data = response.getDataTable();
visualization = new google.visualization.LineChart(document.getElementById('visualization'));
visualization.draw(data, {legend: 'bottom'});
}

29. Line Chart

30. Business Value Added
 It’s a powerful Visualisation tool with Interactivity feature
which gives data a meaningful look and helps easy analysis of
the data.
 It reduces time spent on analysis of big data tables by
converting these into easy to analyze charts
 The charts are created in an easy to use URLs which can be
embedded anywhere in your webpage.
 Managers and Decision makers have less time to look at big
data tables and do number crunching to come to decisions.
They need data visualisation tools like charts to have an overall
look at the data and compare them to arrive at decisions.

31. Thank You