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Total: ~25 min
Grid viewers are a versatile control, and are useful for varied charting of asset-based datasets as well as for direct grid viewing and manipulation of data. They are most commonly used with database data but also have numerous applications with other datasets.
A grid viewer is a versatile control, most commonly used for visualizing datasets. It can be configured to be used for grid layouts of raw information, or charting to present the underlying data in a dynamic chart.
How to add a new data grid into a display, including linking it to your datasets and individual data tags as necessary.
The charting capabilities within a grid viewer are central to its application in client environments. Learn how to add a chart to a grid viewer and bind it to data.
Grid viewer charts can present a variety of data formats, including X-Y scatterplots. Configuration of scatterplots is simple when you have a dataset which supports the appropriate data format.
Cluster and Stack based charting are two variants of the default grid viewer configuration which may be used. They will rely up on the same standard data configurations but represent the data in specific formats.
Conditional formatting, status indicators, and grouping rules are all ways of customizing the visual look of datasets presented within a grid viewer.
A frequently requested capability is to directly navigate an application through selections within a grid viewer. Learn how to configure this through the use of custom columns.
Assuming the appropriate corresponding UPDATE, INSERT, or DELETE commands are configured, a grid viewer can be used for write access and direct data manipulation.