A Quick Solution for Complicated Functions
Some data conversions require multiple steps to satisfy today’s complex data communication requirements. Altova MapForce 2011 lets you graphically combine a wide variety of mathematical, logical, string, and other specialized functions to build complicated "data equations" to get the results you need. If you’re working on a big, complicated mapping, if you’re using an unfamiliar function for the first time, or when your function creates an intermediate result that needs further processing, it is helpful to test your work each step of the way as you build. You can use a simple text file as a temporary target to see the output of your function under construction. Let’s say we want to add a date and time stamp to an existing mapping of an output file to record the time the data was generated. We can easily experiment with the MapForce now function in a new mapping that simply connects now to a text file. 
Clicking the Output button at the bottom of the mapping window shows us the immediate result:
Okay, that works, but maybe the consumer of the output file would like to see a more elegantly formatted version. We can work with various datetime and string functions and build a complicated function until our mapping looks like this: 
Or we could simply use the format-dateTime conversion function with a string constant to define the format: 
As we work, we can press the Output button at any time, until we are satisfied with a result that looks like this: 
If you don’t work with dateTime data types every day, it’s hard to write a format string on your first try that generates the desired result! After several attempts, variations, and consultations with MapForce Help, here’s the format we developed and stored in the string constant connected to the format input of the format-dateTime conversion function: 
So far we used a text file that was defined as a basic CSV file with only a single field, but you can open the file Properties dialog and add fields or create a more customized output file. 
One advantage of using a text file as the output target is there is no type checking of the function result, so the text file target lets you examine and verify the output of any function. In the screenshot below we created a mathematical function and added a second field to the text file target to map the result. 
Now the output is a single-row, comma separated result like this: 
If our ultimate target is going to be a database field or an XML element with an integer data type, then we can immediately see this mathematical function doesn’t produce the expected datatype. When you have perfected your function in the test mapping, you can simply select, copy, and paste it directly into your larger mapping. You can then connect the output of the function to your ultimate target. In the screen shot below our format dateTime function is mapped to an element in an XML schema that is defined as a string. 
If this is a function you are likely to want again in the future, you can convert it to a User-Defined Function and save it in your library for convenient reuse. 
You can even use a text file as a temporary target to build and test a complicated function right inside your larger mapping. In that case, your mapping includes multiple possible outputs. The eyeball button at the top right of each output file selects which output file is displayed in the Output window. 
When you select the text file as the Output preview, the MapForce execution engine does not process the larger mapping, only the function connected to the text file. This can be a huge time-saver when you just want to examine the function result and your larger mapping processes a large volume of data, or if you don’t want to risk inserting invalid data into a database, and in many other situations. Find out for yourself how easy it is to apply MapForce to your own data mapping projects! Download a free 30-day trial of MapForce.
We recently blogged about the 
To create a new chart, simply highlight a range of data in Text View or Grid View, right click, and select New Chart. You can also specify the data to chart via XPath expression. Once you’ve used the Select Columns dialog to specify which data you want displayed, either via XPath or by highlighting it in the window, and how you want to display it…. 
…you can choose the type if chart you require, and the appearance of the chart, from colors to fonts and more. You can 
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The chart’s appearance, labels, and so on, are highly customizable, and your finished chart can be printed, copied to the clipboard, saved as an image, or – and this is truly unique – exported as XSLT or XQuery code for use in your own stylesheets, reports, or apps. 
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You can even utilize dynamic XPath settings to apply dynamic data from your source to the settings of your chart. For example, if you have a chart that shows regional data, you may wish to reflect the name of each region in the title of your chart. If there are several Region elements, the data for the chart title can be selected dynamically via an XPath expression depending on which set of data is being presented in the chart. Charts are integrated in multi-channel StyleVision reports, described further below. DatabaseSpy Relational database data often lends itself perfectly to a graphical representation, but it’s not always easy to create charts to analyze relationships locked away in database tables. Now, with 
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In fact, StyleVision now integrates with MapForce – so you can design reports for virtually any type of data. MapForce Starting with Version 2011, 