As with every version, there are way too many new features in version 27 to cover them all in separate blog posts. So here’s a quick summary of some of the rather hidden gems that still deserve some attention.
List & Label’s chart dialog offers a load of possible customizations. However, as always, with great power comes great complexity. Even creating a simple pie chart could have taken some time if you’re not yet familiar with List & Label’s chart features. As you can already easily create crosstabs via Drag & Drop, and we just recently improved the table’s drag & drop features, offering a thorough D&D support for charts was the next logical step on our path to a simpler, more intuitive end user desktop designer.
Often reports consist of similar, repetitive sections like a number of charts or crosstabs just filtered for different categories but otherwise identical. Or tables and subtables that have a preselected set of columns you want to have wherever this table is used. List & Label 26 now helps you and your users to get rid of the tedious task to maintain such reports and apply changes to all instances of objects. You can add real subreports that contain exactly the required items and maintain those in one single place.
As with every new version, we have updated List & Label in a lot of different places to make it smoother to use, more modern and accessible. So to continue with this tradition, here are some treats in List & Label 25 you might have overlooked so far.
While for standard tasks the default mechanism for Rscript rendering of List & Label might be sufficient and convenient to automatically generate the png, jpeg or svg chart output from a Rscript on the fly, there might be situations where you simply desire more control.
While List & Label's charts offer a lot of visualization types and are extended almost every version, there are way too many visualization types to support them all. Thus, requests for new chart visualizations keep bubbling up in our feedback portal. On the other hand, Rscript is a well established language specialized for statistical computing and graphics that supports any visualization I can think of. So it absolutely makes sense to add Rscript output to the available chart visualization and include the best of both worlds – List & Label's versatility for report layout and data access and Rscript's deluge of visualization types. And that's just what we did for the Enterprise Edition of List & Label 24.
Over the years, we kept improving our chart engine with each version. We've added Donut, Radar and Treemap charts and offered new layout options. However, if your charts were to be rendered in the browser, the only available formats so far have been PNG or JPEG, leaving you with exactly two options: either have great quality and huge file sizes or a swift download and poor rendering quality. There was no option to combine both (and I'm not thinking "huge download and poor quality" here <g>). In LL24, this is going to change.
Crosstabs and charts have a lot in common. Often I find myself designing a crosstab for e.g. the sales per country. This works fine to get the absolute or even relative numbers. However, to get a visual impression of the fractions for a dashboard, I add a chart 99% of the time that shows just the same data as the crosstab.
The signal ranges are a handy gauge feature to highlight parts of the scale. It enables you to divide the scale e.g. into a green, yellow and red part. That way, you can judge at a glance if a value is "good" or "bad". In LL23, this feature has been extended to charts.
After adding a number of new chart types in the last versions, most notably Radar, Treemap, Shapefile and Funnel charts, we're adding a small yet very neat property for pie and donut charts to List & Label 23: pie coverage. This allows to define if the pie should consist of a full circle or just parts of it.
Here we post about new features in our reporting tool List & Label and about general development topics.
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