Home / Statistical Tools / Analysis Tools / Dotplot / Examples / Count Frequency
Count Frequency¶
When your data is pre-aggregated with counts, use a Count column as the frequency. Quantum XL expands the dataset by the count value — so a row with value 30.0 and frequency 15 is treated as fifteen observations of 30.0.
Goal¶
Create a dot plot from pre-aggregated measurement data where each row represents a unique value and how many times it was observed.
Sample Data¶
Download DotPlot_CountFrequency.xlsx
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When you open downloaded files, Excel displays a Protected View warning. You must click Enable Editing before you can use Quantum XL with the file.

Alternatively, you can copy the sample data from the table below and paste it directly into a new Excel workbook.
| Value | Frequency |
|---|---|
| 20.0 | 2 |
| 22.5 | 5 |
| 25.0 | 8 |
| 27.5 | 12 |
| 30.0 | 15 |
| 32.5 | 10 |
| 35.0 | 7 |
| 37.5 | 4 |
| 40.0 | 2 |
| 45.0 | 1 |
There are only 10 rows, but the frequencies add up to 66 total observations. The most common value is 30.0 (observed 15 times), and the distribution tapers off toward the extremes. Quantum XL will expand the data so that each value is repeated by its frequency count.
Steps¶
-
Launch the analysis
From the Excel ribbon, select QXL Stat Tools → Analysis Tools → Dot Plot.
-
Select your data
Select cells A1:B11 (the header row plus all 10 data rows).
-
Configure the analysis
In the Dot Plot dialog:
- Deselect "Frequency" under Data Columns (if auto-selected)
- Check "Frequency" under Frequency Data (Optional)
Click Finish to generate the chart.
Result¶
Quantum XL creates a dot plot for the Value column. The dots stack highest at 30.0 (15 observations) and taper off toward the extremes, creating a bell-shaped pattern. The chart reflects the full expanded dataset of 66 observations, not the 10 rows in the spreadsheet.