XY Chart, Heatmap, Profile Chart

Resources

Run Browser Normalization Options

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.

Transcript

00:00 ⟶ 00:07

In this video, we'll cover the core features of three Nexus displays: XY Charts, Heatmaps, and Profile Charts.

00:08 ⟶ 00:20

As these displays are variations of trend displays, most of the standard trend features covered 

in other videos in this library, such as timespan navigation and options menu selections, also apply.

00:21 ⟶ 00:25

The XY Chart shows the relationship between two tags as a scatter plot.

00:25 ⟶ 00:31

A new chart can be created by selecting the New button in the upper-right corner of the Nexus Explorer.

00:32 ⟶ 00:41

Tags can be added by dragging from Tag Browser onto the chart area or the Tag Info Grid, 

or by entering UTag value into the Tag Name field.

00:42 ⟶ 00:49

The X-Axis tag and Y-Axis tag are labeled in the Tag Info Grid and will be displayed as axis titles.

00:50 ⟶ 00:55

The Tag Name dropdown menu can be used to remove a tag or change its assigned axis.

00:56 ⟶ 01:00

After adding tags, click the Plot button to create a scatter plot of the data.

01:01 ⟶ 01:10

The Tag Info Grid shows that AutoScale is enabled by default, meaning each axis will have 

the smallest possible value range that shows all data points.

01:11 ⟶ 01:18

If value ranges are adjusted, AutoScale will be disabled and can be reset by checking the box or clicking the Plot button.

01:19 ⟶ 01:27

Run Browser allows for adjustments to run and normalization settings and can be toggled with 

the Run Browser button above the Tag Info Grid.

01:27 ⟶ 01:30

There are two options for modifying run selection.

01:31 ⟶ 01:39

The Date Range option sets the start and end dates for a single run. 

The Time Span option sets a fixed run duration and run count.

01:40 ⟶ 01:44

Run Count determines how many completed instances of the time span are plotted on the chart.

01:45 ⟶ 01:50

When multiple runs are plotted, the data is color-coded to differentiate the time spans.

01:51 ⟶ 02:01 

The normalization setting in Run Browser determines how time stamps and data are 

collected for the tags in the runs. Each normalization option is described in the video notes.

02:02 ⟶ 02:10

The Legend button above the Tag Info Grid toggles the legend, which shows the point color 

and start and end times of the corresponding run.

02:11 ⟶ 02:15

The eyeball icon in the legend toggles the visibility of the run on the chart.

02:16 ⟶ 02:20

The chart area options menu can be used to enable SmartMouse and the Configuration window.

02:21 ⟶ 02:30

When enabled, SmartMouse displays the X and Y values and timestamp of the cursor's position, 

and the intercept lines extend to the current location on the axes.

02:31 ⟶ 02:35

SmartMouse pins can be dropped by holding down Shift and clicking the chart area.

02:36 ⟶ 02:42

The Configuration window can be used to adjust the point size and connect each run's points on the chart.

02:42 ⟶ 02:49

The curve fit setting is used to plot curve fit lines, which describe the relationship between the X and Y tags.

02:49 ⟶ 02:54

When a curve fit is applied, the legend will display the formula and R2 value.

02:56 ⟶ 03:07

Heatmap displays, known as waterfalls in PARCview, are used to visualize array type or profile data, 

such as from a scanner where hundreds of data points are collected simultaneously.

03:07 ⟶ 03:13

The Heatmap plots an array of data at each timestamp, with each data point having a distinct position.

03:14 ⟶ 03:20

The Y-Axis indicates the timestamp, with the oldest data at the top and the newest data at the bottom.

03:21 ⟶ 03:26

The X-Axis shows the position of the data, which increases from left to right.

03:26 ⟶ 03:33

The array data on the plot area is color-coded as a gradient based on the fixed middle data value and range.

03:33 ⟶ 03:42

Note that while the middle and range gradient values can be adjusted in Nexus,  Heatmaps must be initially 

configured and saved in PARCview.

03:43 ⟶ 03:48

Displays must have both a fixed range mode and a gradient color mode to be supported in Nexus.

03:48 ⟶ 03:55

The Array Tag tab in the Configuration window allows for adjustment of the array data source and how the values are plotted.

03:55 ⟶ 04:02

The Tag field specifies the tag source, which can be set by dropping from Tag Browser or entering UTag value.

04:03 ⟶ 04:06

Last Position specifies the value range of the X-Axis.

04:07 ⟶ 04:11

Middle sets the value from which the Min and Max ranges are calculated.

04:11 ⟶ 04:17

Range sets the value to subtract from or add to the middle to produce the Min and Max.

04:17 ⟶ 04:23

The Color panel shows the colors that correspond to the maximum, middle (or target), and minimum values.

04:24 ⟶ 04:29

Colors can be set from the color picker or by entering the RGB values.

04:32 ⟶ 04:35

Non-array tags can also be added to the Heatmap if desired.

04:44 ⟶ 04:49

Profile Charts are similar to Heatmaps in that they are used to visualize array type data.

04:50 ⟶ 04:53

They can be thought of as a single slice of a Heatmap.

04:53 ⟶ 05:08

Building on the example of data received from a sheet passing through a scanner, a Heatmap is the equivalent 

of scanning the sheet from the top and capturing every position in a timespan, while a Profile Chart equates to

capturing a single instance of the data from the front.

05:09 ⟶ 05:17

Another comparison is that a Profile Chart is the equivalent of a three-dimensional  Heatmap rotated from top-view to front-view.

05:18 ⟶ 05:23

These differences can be seen in this side-by-side comparison of the same tag plotted on both display types.