Working with Charts Leave feedback

A good template layout should reflect the client’s view and the kinds of questions he will ask. Graphics (diagrams and charts) and tabular data are usually combined with the relative weighting depending on the client’s preferences and analytical demands — that provides additional insight into specific trends that may not be evident from simple tabular reports.

It’s possible to use many sorts of charts and graphs in your document template, including line graphs, column charts, bar charts, pie charts, scatter graphs, bubble graphs and others. The Reporting Engine provides a group of special tags to bind the chart to a data source through Chart Series — logically grouped multi-value data elements — that function as wrappers around data that will be displayed, and also associates styles with the data.

To declare a chart that is going to be populated with data dynamically within your template, do the following steps:

1. Add a chart to your template at the place where you want it to appear in a result document.

2. Configure the appearance of the chart.

3. Add required chart series and configure their appearance as well.

4. Add a title to the chart, if missing.

5. Add an opening foreach tag to the chart title.

6. Please take note, that a closing foreach tag is not used for a chart.

7. Depending on the type of the chart, add x tags to the chart title or chart series’ names as follows:

   <<x [x_value_expression]>>
   

   An x-value expression for a must return a numeric value. To use the same x-value expression for all chart series, add a single x tag to the chart title after the corresponding foreach tag. To use different x-value expressions for every chart series, add multiple x tags to chart series’ names – one for each chart series.

   You can use a size tag to define the size of bubbles for a Bubble Chart.

8. Depending on the type of the chart, add an y tags to chart series’ names as follows:

   <<y [y_value_expression]>>
   

   An y-value expression must return a numeric value.

For a complete example of binding data to a chart using x and y tags, please, refer to the “Quick Start” article from the “Getting started” section.

You can normally use common expression tags in chart titles, series names, and axis titles, thus forming their contents dynamically.

The following chart template demonstrates how to set the chart’s title, series name, and axis title dynamically:

You can select which series to remove from the chart dynamically through the conditional expression. For series to be removed from the chart based upon conditions dynamically, define the conditions in names of these series using removeif tags. During runtime, series with removeif tags, for which conditional expressions return True, are removed from corresponding charts.

The removeif tag syntax is as follows:

<<removeif [conditional_expression]>>

 The following template demonstrates how to use the removeif tag to remove a series from a chart:

To work with colors dynamically you need to use Color Expressions. A color expression must return a value of one of the following types:

• A string containing the name of known color, that is, the case-insensitive name of a member of the KnownColor enumeration such as "red".
• An integer value defining RGB (red, green, blue) components of the color such as 0xFFFF00 (yellow).
• A value of the Color type.

For a chart series to be colored dynamically, define the corresponding color expressions in names of these series using seriesColor tag, which has the following syntax:

<<seriesColor [color_expression]>>

The following template demonstrates how to use the seriesColor tag:

You can set colors of an individual chart series points dynamically through the color expression. For a chart series with points to be colored dynamically, define corresponding color expressions in names of these series using pointColor tag, which has the following syntax:

<<pointColor [color_expression]>>