The Data menu contains settings for the Dimensions and Measures used in Vizlib Scatter Chart. You can find an example of how to use dimensions and measures to create a scatter chart in the setup article here.
TABLE OF CONTENTS
Dimensions
Vizlib Scatter Chart supports up to two Dimensions (Figure 1).
Figure 1: Dimensions
- Dimension 1 is required to display the visualization.
- Dimension 2 can be added to display the historical tracking trails of a dimension over time, so it needs to be a timestamp.
Note: If you decide to add a second dimension, please ensure there are no gaps in time values, and the dimensions all have 100% data density.
The dimension settings (Figure 2) allow you to edit the display Label, Include null values, and set a Limitation on the display values - a Fixed Number, an Exact Value, and a Relative Value.
Figure 2: Dimension Settings
You can also enable Markers for dimensions (Figure 3), to help visualize the data points on the scatter chart. You can choose between 3 types of Representation, a Symbol (select from a list), an Icon (select from a list of > 700 icons, or upload your own) and Image (add an image using a URL or the Qlik Sense content editor). You can also control the Symbol Size, and Symbol Opacity.
Figure 3: Dimension Markers
Measures
Vizlib Scatter Chart supports up to three Measures (Figure 4).
Figure 4: Measures
- Measure 1 is mandatory and displayed along the x-axis.
- Measure 2 is mandatory and displayed along the y-axis.
- Measure 3 is optional and determines the bubble size.
The measure settings (Figure 5) allow you to edit the display Expression, and control the Number formatting by selecting from a list of options and choosing between a Simple format or a Custom format (where you enter your own values). You can also choose to add a new Master item.
Figure 5: Measure Settings
Data Handling
Data Handling (Figure 6) controls allow you to set Data Limits, Suppress Zero Values, and enter a Calculation condition to show a Displayed message when the calculation is met.
Figure 6: Data Handling