The scatter plot is a two dimensional plot used to visualize the behavior of one measurement as a function of a second measurement (instead of time).
The plot enables you to visualize correlations between measurements, and identify label grades (eg. based on two molar concentrations in the end product) or other operational regimes of interest.
The following is discussed in this article:
In the current version, search results are not explicitly marked in scatter plot mode.
TrendMiner uses the visible data present in the base layer of the focus chart for plotting. At least two tags need to visible in order to create a scatter plot.
- Visualise the desired tags (at least two tags need to be visible) in the tags menu .
- Navigate to the desired time period you want to use for plotting.
- Click the trend icon at the bottom-center of the focus chart. A new menu will pop up.
- Click the scatter icon . TrendMiner will now switch to scatter plot mode.
The next screenshot show the initial scatter plot mode view using more than two visible tags (scatter plot matrix).
- Open the tags menu (if not open already).
- Click the 'X' or 'Y' button next to the tag of interest to show it on the corresponding axis. The buttons next to the tag currently shown are highlighted while others are greyed out.
The double slider, context bar, date pickers and other time navigation features (lock span etc.) remain fully functional in scatter plot mode. The scatter plot only represents behaviors in the selected time window, using a smart selection of points and their connecting lines. The same scale settings are used as in the trend view.
Marked areas can only be used in area searches. In order to mark an area:
- Click once within the scatter plot to start marking.
- Click again for each additional corner.
- Double click to close the shape.
The screenshot below shows part of a linear scatter plot as a marked region. This can then be used as part of an area search.