This article describes the possibility to hide some of the columns defined in the grid. This way, you can show different columns to the user, depending on what you want.
For example, if the user has said there was partner, you can show the column ‘income partner’, but if there is no partner, you can hide that column.
This article describes at a (very) technical level how the servers handles datasets. Datasets can hold a lot of data, making working with them sometimes a bit slow. By understanding what datasets are and how the server handles them, the author can make a model much less memory and CPU heavy.
This article describes some of the functions you can perform on datasets. All these functions can also be found in the Finder. For convenience, we split this section in the general and more advanced functions. If you do not know how formulas and/or functions work, please see introduction to formulas and introduction to functions from the guided tour or formulas for extra explanation.
When you have an empty grid in your model, upon which your end users
can add (or remove) rows, it can sometimes be useful to automatically
generate one or more rows. In this tutorial, you will learn how to
force just that.
To create the dataset briefly described in the introduction on datasets, first create a new model. In this model, add a node ‘add_dataset’ to our model. In this node, we will create our first dataset. To start, click [Actions > Dataset] to open the dataset window. The following screen will pop up:
In the Berkeley Studio you can make use of datasets. Generally speaking, a dataset is a collection of structured data. Most people are more or less familiar with datasets as they appear in spreadsheet software, like Microsoft Excel. For example, consider the following example in Excel: