As any experienced Qlik developer will tell you, the data model viewer is a key component you will undoubtedly spend time using on your Qlik journey. Qlik Sense has brought with it some nice new features. We will also delve into the different insights that can be gleaned from the data model viewer:
For this recipe, we will make use of the Data model viewer.qvf
application. This file is available for download on the Packt Publishing website.
Open the
Data model viewer.qvf
application that has been downloaded from the resource library.Click on data model viewer in the Navigation dropdown on the toolbar.
In this section we will see how the different types of data are viewed.
The data model consists of a number of tables joined by the key fields. The following screenshot contains functions that can be used to manipulate the layout of the data model:
The detail of the available keys (from right to left) is given as follows:
Collapse all: This reduces down the tables to just their headers; thus, hiding all the fields
Show linked fields: Expands the tables enough to only display the key fields in each
Expand all: Displays all the fields for each table
Internal Table viewer: Shows the internal representation of the data model
Layout: Provides options to auto align the table grid or space out across the screen
Preview: Toggles the data preview screen to either on or off
Clicking on a table will highlight its associated tables in orange. The customer's table is selected in the following screenshot and the shared key here is Address Number:
Click on the CustomerAddress table to see a highlighted expansion, via the state key, as shown:
The data model viewer also provides information on the contents of each table.
Click the header of the customer address table then open the Preview pane by clicking the Preview button in the bottom left hand corner.
The following preview will be displayed at the bottom of the screen:
Along with a small snippet of the table contents, the far left table also provides some high level table information about the number of rows, fields, keys as well as any tags.
Next, click the Address Number field from the Customers
table in the data model viewer.
You can now see more detailed information about the individual field.
These are:
Density
Subset ratio
Has duplicates
Total distinct values
Present distinct values non-null values
Tags
This information is very helpful when we are debugging issues. If a count does not return the expected result, you may want to ensure that there are no duplicates.
If a selection is not filtered correctly you may want to check the sub-set ratio of the key and so on.