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How do I create bar plots in Pulsenics Analytics using markers?

Summarize time-domain data inside markers using formulas like mean, min/max, and standard deviation to compare conditions and experiments.

Goal

Turn time-domain data inside your markers into bar plots so you can compare conditions, time points, channels, or experiments without scanning full time traces.

What a bar plot does

A bar plot reduces the data you selected into a single value per bar.

That value depends on:

  1. Marker type (single-time vs range)

  2. Formula (mean, min, max, standard deviation, etc.)

Before you start

  • You have an Analytics page with time-domain plots.

  • You already created markers (single-time and/or range markers).
    If not, create markers first using the marker workflow.

1) Open the Bar plot tool

  1. In your Analytics page, open the Analysis panel.

  2. Select Bar plot.

What you should see: a configuration form with fields like Select Type, Formula, Group By, markers, hardware, and variables.

2) Choose what each bar represents (Select Type)

You can only choose one type per bar plot:

Option A: Range markers

Each bar summarizes all data inside a range marker.

Use range markers when:

  • you want an average or distribution across a window (stable region, step hold, segment)

Option B: Single-time markers

Each bar summarizes the value at specific marker points.

Use single-time markers when:

  • you want to compare discrete time points (step moments, trigger events, named samples)

3) Choose the formula (how data becomes one number)

In Select formula, choose how the bar value is calculated. Common options include:

  • mean

  • median

  • minimum

  • maximum

  • standard deviation

Some distribution metrics (like skew or kurtosis) are generally used with range markers, since they describe variation across time.

Optional: add error bars

If available, you can add error bars such as:

  • standard deviation

  • standard error

This is most useful when summarizing a range marker.

4) Choose how bars are organized (Group By)

Group By controls what you are comparing, for example:

  • Marker: compare different time points or windows

  • Experiment: compare different runs

  • Station: compare test stations

  • Tag: compare different tagged conditions

  • Channel: compare cells or channels (when using CMUs)

5) Select which markers to include

  1. Choose whether you are using:

    • absolute markers, or

    • relative markers (if your x-axis is relative time)

  2. Select the specific markers you want (or select all).

Tip
If you are using marker intervals, remember they can overwrite existing markers, so set intervals first before adding custom markers.

6) Select the hardware (Probe, CMU, channel)

  1. Select the Probe (and CMU/channel if applicable) that contains the data you want to summarize.

This step answers: “Which hardware am I comparing?”

7) Choose what you are plotting on the y-axis (variable selection)

Select the variable you want the bars to represent. Typical choices include:

Time-domain DC signals

  • DC voltage

  • DC current

Derived electrochemical metrics (from EIS)

  • electrolyte / ohmic resistance (high-frequency resistance)

  • faradaic / charge-transfer resistance

  • interfacial capacitance

  • power (if available)

8) Generate the bar plot

  1. Click Apply.

What you should see: a bar plot created above showing one bar per selected grouping.

Sanity check

If your bar plot is based on single-time markers, compare it to your time-domain plot:

  • the highest bar should align with the highest marker point, and so on.

9) Save for reuse (optional)

If this is a bar plot configuration you will reuse:

  • save it to a container (so you do not need to rebuild it later)

Verify success

  • Bars reflect the selected marker type (single-time vs range).

  • Values match the expected region or points on the time-domain plot.

  • Grouping matches what you are trying to compare (markers vs channels vs experiments).

  • The plotted variable matches the intended signal source (DC signals vs derived metrics).

Common issues

  • My plot is empty: confirm you selected at least one marker and one variable.

  • Values look wrong: confirm you selected the correct Probe and CMU/channel.

  • I expected a time window, but got point values: you likely selected single-time markers instead of range markers.

  • My custom markers disappeared: interval markers overwrite existing markers, set intervals first.

Related workflows

  • Create time-domain plots in Analytics

  • Create markers in Analytics

  • Create frequency-domain plots using single-time markers (next video)