Example: drying batches
The example records 72 drying batches with mass, inlet moisture, ambient temperature and electricity measurements. Mass is in kg, moisture is wet-basis percent, temperature is in °C and electricity is in kWh.
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 Scatter in Chart type. In Data arrangement, choose Simple — no grouping.
Open the column picker for X variable and select batch_mass_kg. For Y variable, select electricity_kwh. Keep the columns aligned: both values on a point must come from the same batch row.
4. Set the chart options
In Statistics, set Fit to None. This example shows the original points without a fitted line.
Open Labels and enter Explore batch mass and electricity use in Chart title. Leave Horizontal axis label and Vertical axis label blank so the source labels are used.
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 one batch
Each point uses two values from the same batch row. Horizontal position is batch mass in kg; vertical position is electricity use in kWh. All 72 batches have complete pairs.
Paired mass and electricity readings for 72 drying batches, with no fitted line. View full-size chart (opens in a new tab) Look for a pattern
The points generally rise from left to right: heavier batches tend to use more electricity in this sample. No fitted line is shown, so this chart supplies no prediction equation.
Keep the other measurements in mind
Mass is not the only recorded variable. Inlet moisture and ambient temperature may also relate to electricity use. This two-variable picture does not adjust for them or show that mass alone caused the change.
Choose the next analysis
Inspect the scatterplot matrix, then use the Regression example to consider the recorded predictors together. Check unusual points against their batch records before using a model for planning.
More details: read each result section
Complete result tables use six significant digits, as in Help.
Data used
Worksheet rows is 72; Eligible observations across series is 72; Excluded observations is 0. All source rows are used. Check these counts and keep the example’s column assignments when comparing runs. 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 |
|---|---|---|
| 72 | 72 | 0 |
Data summary
Series names the measurement or group. Valid and Missing give counts; Mean and Median describe the center. Sample SD describes spread. Minimum and Maximum are the observed ends; Q1 and Q3 enclose the middle half. These summaries describe the captured observations, not acceptance limits. For this scatter chart, the summary describes Y, electricity use; X is retained in Full chart observations.
| Series | Valid | Missing | Mean | Sample SD | Minimum | Q1 | Median | Q3 | Maximum |
|---|---|---|---|---|---|---|---|---|---|
| electricity_kwh vs batch_mass_kg | 72 | 0 | 88.1079 | 14.8704 | 55.44 | 77.23 | 86.21 | 99.82 | 116.1 |
Full chart observations
Series identifies the measurement or group and Worksheet row locates the source record. X and Y are the chart coordinates. X is batch mass in kg and Y is electricity in kWh from the same batch.
| Series | Worksheet row | X | Y |
|---|---|---|---|
| electricity_kwh vs batch_mass_kg | 1 | 99.8 | 73.02 |
| electricity_kwh vs batch_mass_kg | 2 | 188.3 | 109.31 |
| electricity_kwh vs batch_mass_kg | 3 | 97.4 | 76.87 |
| electricity_kwh vs batch_mass_kg | 4 | 111.3 | 77.35 |
| electricity_kwh vs batch_mass_kg | 5 | 217.1 | 98.12 |
| electricity_kwh vs batch_mass_kg | 6 | 132.1 | 87.75 |
| electricity_kwh vs batch_mass_kg | 7 | 84.1 | 70.39 |
| electricity_kwh vs batch_mass_kg | 8 | 187.9 | 113.74 |
| electricity_kwh vs batch_mass_kg | 9 | 98.9 | 75.35 |
| electricity_kwh vs batch_mass_kg | 10 | 187.3 | 106.9 |
| electricity_kwh vs batch_mass_kg | 11 | 185.4 | 99.69 |
| electricity_kwh vs batch_mass_kg | 12 | 208.5 | 104.56 |
| electricity_kwh vs batch_mass_kg | 13 | 157.9 | 95.97 |
| electricity_kwh vs batch_mass_kg | 14 | 109.4 | 78.58 |
| electricity_kwh vs batch_mass_kg | 15 | 141 | 70.91 |
| electricity_kwh vs batch_mass_kg | 16 | 92.1 | 83.65 |
| electricity_kwh vs batch_mass_kg | 17 | 135.5 | 78.93 |
| electricity_kwh vs batch_mass_kg | 18 | 136.1 | 95.62 |
| electricity_kwh vs batch_mass_kg | 19 | 165.8 | 86.15 |
| electricity_kwh vs batch_mass_kg | 20 | 147.3 | 92.84 |
| electricity_kwh vs batch_mass_kg | 21 | 203.4 | 108.69 |
| electricity_kwh vs batch_mass_kg | 22 | 174.1 | 88.03 |
| electricity_kwh vs batch_mass_kg | 23 | 134.9 | 103.2 |
| electricity_kwh vs batch_mass_kg | 24 | 97.5 | 64.03 |
| electricity_kwh vs batch_mass_kg | 25 | 108.4 | 73.39 |
| electricity_kwh vs batch_mass_kg | 26 | 131.8 | 91.5 |
| electricity_kwh vs batch_mass_kg | 27 | 150.5 | 97.24 |
| electricity_kwh vs batch_mass_kg | 28 | 177 | 116.1 |
| electricity_kwh vs batch_mass_kg | 29 | 123.6 | 98.15 |
| electricity_kwh vs batch_mass_kg | 30 | 93.3 | 79.33 |
| electricity_kwh vs batch_mass_kg | 31 | 193.5 | 111.51 |
| electricity_kwh vs batch_mass_kg | 32 | 116.2 | 80.12 |
| electricity_kwh vs batch_mass_kg | 33 | 162.2 | 95.18 |
| electricity_kwh vs batch_mass_kg | 34 | 131.9 | 82.87 |
| electricity_kwh vs batch_mass_kg | 35 | 109 | 84.86 |
| electricity_kwh vs batch_mass_kg | 36 | 80.4 | 61.39 |
| electricity_kwh vs batch_mass_kg | 37 | 123.8 | 84.37 |
| electricity_kwh vs batch_mass_kg | 38 | 165.3 | 79.15 |
| electricity_kwh vs batch_mass_kg | 39 | 80.1 | 64.21 |
| electricity_kwh vs batch_mass_kg | 40 | 104.5 | 75.82 |
| electricity_kwh vs batch_mass_kg | 41 | 94.4 | 84.76 |
| electricity_kwh vs batch_mass_kg | 42 | 88.6 | 55.44 |
| electricity_kwh vs batch_mass_kg | 43 | 123.1 | 65.89 |
| electricity_kwh vs batch_mass_kg | 44 | 206.1 | 107.41 |
| electricity_kwh vs batch_mass_kg | 45 | 135 | 79.37 |
| electricity_kwh vs batch_mass_kg | 46 | 193.5 | 100.21 |
| electricity_kwh vs batch_mass_kg | 47 | 184.6 | 104.05 |
| electricity_kwh vs batch_mass_kg | 48 | 107.9 | 80.17 |
| electricity_kwh vs batch_mass_kg | 49 | 186.8 | 86.27 |
| electricity_kwh vs batch_mass_kg | 50 | 131.5 | 89.52 |
| electricity_kwh vs batch_mass_kg | 51 | 209.5 | 103.99 |
| electricity_kwh vs batch_mass_kg | 52 | 179.8 | 97.26 |
| electricity_kwh vs batch_mass_kg | 53 | 104.7 | 72.93 |
| electricity_kwh vs batch_mass_kg | 54 | 168.1 | 85.16 |
| electricity_kwh vs batch_mass_kg | 55 | 193.4 | 99.42 |
| electricity_kwh vs batch_mass_kg | 56 | 122 | 73.27 |
| electricity_kwh vs batch_mass_kg | 57 | 171.6 | 103.89 |
| electricity_kwh vs batch_mass_kg | 58 | 110.5 | 83.06 |
| electricity_kwh vs batch_mass_kg | 59 | 200.1 | 109.7 |
| electricity_kwh vs batch_mass_kg | 60 | 147.4 | 89.14 |
| electricity_kwh vs batch_mass_kg | 61 | 148.3 | 93.93 |
| electricity_kwh vs batch_mass_kg | 62 | 118.7 | 70.1 |
| electricity_kwh vs batch_mass_kg | 63 | 107.8 | 80.28 |
| electricity_kwh vs batch_mass_kg | 64 | 107.1 | 79.01 |
| electricity_kwh vs batch_mass_kg | 65 | 103.4 | 72.92 |
| electricity_kwh vs batch_mass_kg | 66 | 175.1 | 98.54 |
| electricity_kwh vs batch_mass_kg | 67 | 83.4 | 67.83 |
| electricity_kwh vs batch_mass_kg | 68 | 192.6 | 102.09 |
| electricity_kwh vs batch_mass_kg | 69 | 207.9 | 106.33 |
| electricity_kwh vs batch_mass_kg | 70 | 208.4 | 112.93 |
| electricity_kwh vs batch_mass_kg | 71 | 91.8 | 66.22 |
| electricity_kwh vs batch_mass_kg | 72 | 176.1 | 107.84 |
7. Create a report
Keep the native chart and Data used, together with Data summary, Full chart observations. Record the column assignments and chart options. Include the study context and any checks of unusual observations. Keep the chart’s units and the limitations described in the walkthrough.
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.