Example: pouch-seal strength
The example records 16 factorial runs from a pouch-seal study, across two days. Seal strength is measured in N per 15 mm of seal width.
Download the example data (CSV)This is the same example used in Help. The CSV contains the observations to import.
1. Create the analysis
In the sidebar, open Plots and create an analysis. Name it, select New blank worksheet, then choose Create analysis.
2. Import the data
On Worksheet, choose Import. Select the downloaded CSV or paste its contents. Set the delimiter to Comma, use Decimal dot, and check First row contains column names. Preview the import, then choose Import into worksheet.
3. Assign the input columns
On Inputs, choose Interaction in Chart type. Open the column picker for Response and select seal_strength_n_per_15mm.
For X-axis factor, select jaw_temperature_c. For Separate-lines factor, select dwell_time_s. Keep this assignment order; swapping the factors changes how the same means are displayed.
4. Set the chart options
In Layout, choose Alphabetical for both Order and Line factor order. Keep Blank categories or groups at Exclude and disclose. Use the downloaded 16-row chart subset; the six center runs remain in the full DOE example.
Open Labels and enter Inspect temperature and dwell together in Chart title.
5. Create chart
Choose Create chart, then open Results. Check Data used before comparing the chart with this guide. All stored worksheet rows participate; sorting or filtering the worksheet does not change the analytical sample.
6. Interpret results
Read the two lines
Temperature is on the horizontal axis. Separate lines show 0.8 and 1.2 second dwell times. Each point averages four factorial runs, combining pressure levels and days. The chart uses 16 factorial runs; the six center runs remain in the full DOE example.
Observed temperature–dwell means from 16 factorial runs, pooling pressure and day. View full-size chart (opens in a new tab) Compare the temperature changes
At 0.8 second dwell, mean strength rises from 19.2825 to 22.6 N/15 mm when temperature rises from 150 to 170 °C. At 1.2 second dwell, it rises from 20.6225 to 29.235 N/15 mm. The rises are 3.3175 and 8.6125 N/15 mm respectively.
Read the nonparallel pattern
The larger rise at the longer dwell suggests that the temperature contrast depends on dwell time. These are observed cell means, without model adjustment or a significance test.
Choose the next analysis
Use the full-factorial DOE guide to assess the temperature–dwell interaction while the model also includes pressure and day/block terms. Include center runs to assess curvature. The four observed means remain descriptive; this picture alone does not establish an optimum or justify changing the recipe.
More details: read each result section
Complete result tables use six significant digits, as in Help.
Data used
Worksheet rows is 16; Eligible observations across series is 16; Excluded observations is 0. The source file is the 16-run factorial subset. Six center runs remain in the full DOE dataset; they were not excluded by this calculation. Worksheet sorting and filters do not change the analytical sample.
All stored rows are considered in original order. Worksheet sorting and filters do not change the analytical sample.
| Worksheet rows | Eligible observations across series | Excluded observations |
|---|---|---|
| 16 | 16 | 0 |
Observed cell means
The temperature and dwell columns identify a combination. N is four runs in each combination; Mean is their average seal strength in N/15 mm, pooling pressure levels and days. Compare changes along each dwell profile. These are observed means, not significance tests.
| jaw_temperature_c | dwell_time_s | N | Mean |
|---|---|---|---|
| 150 | 0.8 | 4 | 19.2825 |
| 170 | 0.8 | 4 | 22.6 |
| 150 | 1.2 | 4 | 20.6225 |
| 170 | 1.2 | 4 | 29.235 |
7. Create a report
Keep the native chart and Data used, together with Observed cell means. Record the column assignments and chart options. State that the chart uses 16 factorial runs and shows observed means. Use the full DOE analysis when discussing model effects, interaction or an operating setting.
Choose Add to report from the completed run. Open Choose individual items and advanced options to select tables and charts, then choose Add to draft. Hidden items stay in the saved analysis.
Name the report and add the purpose of the study and your interpretation. Choose Save, review Preview, then use Export → Download HTML. The example below contains the full selected content, including results beyond one screen.