- 14 Jul 2025
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Trend Displays Part 2
- Updated on 14 Jul 2025
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Resources
Additional Trend Displays Videos
Normalization
To Step Size: Normalizes data to the timespan entered into the textbox. The timespan must be a factor of seconds (S), minutes (M), hours (H), or days (D). Only values at the
timestamps selected by the time interval are read and no averaging occurs.
To First State Tag: Normalizes all tags to the timestamps of the first tag with the state interpolation type. This setting is useful when comparing a state-type tag with continuous-type
process data tags. If no state-type tags are detected, the first tag in the trend is treated as the state tag.
To All Times: Retrieves data from all available timestamps. If 'Interpolate State Tags' is not enabled, state-type tags will not be interpolated and will only show values at timestamps that
have a raw value. If it is enabled, state-type tags will have values interpolated to all available timestamps.
None: Retrieves all available data with no normalization.
Aggregates
PARCview Aggregates Guide: Aggregates
Additional Aggregate Options
Peaks: Filters out points that are not peaks. A point is only included if its value is greater than both the preceding and following point.
Negative Peaks: Filters out points that are not negative peaks. A point is only included if its value is less than both the preceding and following point.
First Point: Returns the value of the first point after the start time of the time period.
Last Point: Returns the value of the last point before the end time of the time period.
Transcript
00:00 ⟶ 00:05
In this video, we'll take a more detailed look at some of the Nexus trend features introduced in Part 1.
00:06 ⟶ 00:18
Tag Builder can be launched from most places an individual tag is displayed, including the options
menus in Tag Browser and the Tag Info Grid, and by clicking the tag name on the Tag Info Grid.
00:18 ⟶ 00:22
Tag Builder is used to create new tags with modified values of the base tag.
00:23 ⟶ 00:30
The new result tag is displayed at the top and includes the appended tag switch
that differentiates its data from the base tag.
00:31 ⟶ 00:35
As fields and Tag Builder are completed, the tag switch will update accordingly.
00:36 ⟶ 00:40
The Aggregates menu specifies the type of data that the result tag should return.
00:41 ⟶ 00:47
Note that the Plot Reduction aggregate is automatically applied to all tags on a trend.
00:47 ⟶ 00:54
The Time Period menu will be enabled if needed for the selected aggregate and
specifies the interval to use.
00:54 ⟶ 00:59
The time period can be selected from the dropdown or entered into the text box.
00:59 ⟶ 01:06
Aligned Time aligns the aggregate intervals to a specific time of day instead of the
start time of the display.
01:06 ⟶ 01:12
The Expression tab can be used to create switches that perform simple calculations on tag data.
01:12 ⟶ 01:16
Expressions consist of basic math functions in a single line of code.
01:17 ⟶ 01:24
The Formula tab allows for saved formulas to be applied to tag data, which perform
more complex calculations than expressions.
01:25 ⟶ 01:29
Once a formula is selected, arguments can be modified in Tag Builder.
01:29 ⟶ 01:36
Result tags can be trended by selecting the Trend button or by dragging onto a display.
01:40 ⟶ 01:43
The Copy button copies the result tag's name to clipboard.
01:43 ⟶ 01:47
Saving a trend display with the result tag will save the tag to the trend file.
01:48 ⟶ 01:55
Reference guides for aggregates, expressions, and formulas can be found in
the PARCview manual and are included in the video notes.
01:55 ⟶ 01:59
Quick Statistics can be enabled from the plot area options menu.
02:00 ⟶ 02:06
Each row in the Quick Statistics grid contains information for a single tag's
data in the trend's current timespan.
02:07 ⟶ 02:14
Right-clicking a column header or selecting the options button will launch
Column Selector where column visibility and size can be configured.
02:15 ⟶ 02:18
SmartMouse can also be enabled from the options menu.
02:19 ⟶ 02:25
The SmartMouse window shows the timestamp and data values corresponding
with the cursor's location on the trend.
02:25 ⟶ 02:33
Holding down the Shift key and clicking will pin the SmartMouse window to the
plot area, with the vertical line indicating the timestamp of the pin.
02:34 ⟶ 02:37
Clicking the toggle button will switch the position of the window on the line.
02:38 ⟶ 02:47
If the timespan of the trend is changed, pins will remain on their time stamps
even if they are no longer visible, but pins will not be saved to the trend file.
02:48 ⟶ 02:54
Pins can be removed by clicking the X button in the upper-right corner or by refreshing the display.
02:54 ⟶ 02:59
Multi-trend displays can be created by selecting Number of Trends in the File menu.
03:06 ⟶ 03:11
The options menu in a multi-trend includes the additional options of Sync and AutoSync.
03:12 ⟶ 03:17
Sync will synchronize all trends in the display to the timespan of the trend where the Sync option is selected.
03:18 ⟶ 03:24
AutoSync will automatically synchronize all trends to the same timespan when any timespan in the display is changed.
03:25 ⟶ 03:32
Timespans can also be synced individually by dragging the Date Time box from one display onto another.
03:32 ⟶ 03:41
Multi-SmartMouse, also located in the options menu, enables SmartMouse for all trends in the display rather
than just an individual trend.
03:41 ⟶ 03:44
Data export can be initiated from the options menu.
03:44 ⟶ 03:49
A description of each normalization option can be found in the video notes.
03:50 ⟶ 04:00
Export to Clipboard copies the tag names, descriptions, values, and timestamps to Clipboard,
from where it can be pasted into other programs such as Microsoft Excel.
04:00 ⟶ 04:05
Export to File opens a file save window with a default file type of CSV.
04:05 ⟶ 04:13
If a different file type is desired, most systems support extension changes such as .txt to adjust the file type.
04:13 ⟶ 04:18
Include Milliseconds will include millisecond values on the timestamps in the exported data.
04:20 ⟶ 04:23
Additional trend features will be covered in Part 3 of this series.