FusionCharts uses XML (eXtensible Markup Language) to create and manipulate charts. XML is a simple and structured language that is easy to read and understand. In case you're not aware of XML as yet, here are a few basics things to know about an XML document:

• An XML document is a simple text file consisting of tags and data associated with them.
• You can make up your own tags like <mytag></mytag> to store data
• Every opening tag requires a matching closing tag. Like <name> requires </name>. e.g., <name>John Doe</name>. If an element has no content, the opening and closing tags may be combined into a single "shortcut" tag such as <name/>.
• XML tags are case-sensitive. So <name> should be closed with </name> and not </Name> or </NAME> or any other variant of the same.
• You can define attributes for a tag to render more details. e.g., <name isPetName='true'>John Doe</name>. Here isPetName is an attribute of the name element. In FusionCharts, we've four types of attributes:
  • Boolean - Attributes which can take a 0 or 1 value. Like <graph showNames='1' >
  • Number - Attributes which take a numeric value. Like <graph yAxisMaxValue='200' >
  • String - Attributes which take a string value. Like <graph caption='My Chart' >
  • Hex Color Code - Attributes that take a hex color code (without #). Like <graph bgColor='FFFFDD' >
• Special characters like ' (quote), " (double quote), % (percentage) etc are to be replaced by the XML converts. Like, the character " (double quote) in a string constant must be denoted as &quot;.

The entire FusionCharts chart is controlled by XML parameters i.e., you use XML to define the cosmetic as well as functional properties for the chart. There are a lot of properties that you can define for each chart type.

However, it is not necessary to define all the attributes for a given chart. For example, if you do not want to change the default setting of the canvas (color, alpha etc.), you don't need to define any attributes for the canvas - the default values will be assumed. Thus, each chart can be generated using minimal attributes without concern for finer details. As you become more proficient in the chart attributes, you could use it to create complex charts with a wide range of features and an informative appearance.

FusionCharts has a specific XML structure for each chart. Broadly, we define the XML structure into following types, depending on the chart type:

• Single Series Charts
  Single Series Charts are those which depict only one set of data on the chart. Like, our previous example of Monthly sales summary was a single series chart, as we had just one data set (i.e., data for 1 year). In that chart, we were not comparing data between two datasets (e.g., monthly sales comparison between two or more years).
  
  XML for the single series chart is the simplest to understand, as you've already seen in the previous examples.
  
  
• Multi-Series Charts
  Multi-series charts are used to compare 2 or more datasets like monthly comparison for 2 or more years. Under multi-series charts, we can define the following subcategories:
  • Standard Multi-series Charts
    The standard multi-series charts, like multi-series column, line, area etc., are used for straightforward comparison of various datasets on the chart.
    
  • Stacked Charts
    Stacked charts, like stacked column, area etc., are used to compare cumulative or grouped data. e.g., monthly summary of sales on a chart. Say if we wanted to show which part of revenue came from products and which part from services, we can use the stacked column chart easily to depict the data. Each month would represent a data column and the column would be divided into two parts- one representing service and the other product.
    
  • Combination Charts
    Combination Charts are a combination of two or more charts or y-axis.
    
    
• Financial Charts
  The candlestick chart is a special type of chart basically meant for plotting financial stock market data. There are four elements necessary to construct a candlestick chart, the OPEN, HIGH, LOW and CLOSE price for a given time period.