Example: packing times
The example records 90 orders from three packing zones. Packing time is in seconds; item count and parcel mass describe each order.
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 Histogram in Chart type. In Data arrangement, choose Single variable — no grouping.
Open the column picker for Measurement and select packing_time_s. It contains one packing time per order, in seconds.
4. Set the chart options
In Statistics, set Bins to Automatic, Y-axis meaning to Frequency and Distribution overlay to None. Leave Specification limits unchecked.
Open Labels and enter Explore the distribution of packing times 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 the bars
Packing time is on the horizontal axis in seconds. Each bar counts orders whose times fall in that interval. Taller bars mean more orders, not longer individual orders.
Packing times for all 90 orders, counted in automatically chosen 20-second intervals. View full-size chart (opens in a new tab) Find the busiest interval
The automatic bins are 20 seconds wide. The 140–160 second interval has the most orders: 15 of the 90. The shortest recorded time is 59.9 seconds and the longest is 252.5 seconds.
Keep the groups in mind
These bars pool three packing zones. The shape combines their different orders and workloads. Changing the bins can change the appearance without changing any measurements.
Choose the next comparison
Use the packing-zone box-plot guide to compare zones. Before changing staffing, compare orders with similar item counts and inspect the full bins and data summary. This pooled histogram does not explain why an order took longer.
More details: read each result section
Complete result tables use six significant digits, as in Help.
Data used
Worksheet rows is 90; Eligible observations across series is 90; 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 |
|---|---|---|
| 90 | 90 | 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.
| Series | Valid | Missing | Mean | Sample SD | Minimum | Q1 | Median | Q3 | Maximum |
|---|---|---|---|---|---|---|---|---|---|
| packing_time_s | 90 | 0 | 150.572 | 45.2425 | 59.9 | 115.125 | 152.9 | 184.675 | 252.5 |
Histogram bins
Read every interval’s Lower edge, Upper edge and Count. In this frequency chart, frequency is the bar height and equals Count. The 11 counts sum to 90. Automatic binning selected 20-second intervals for this example.
| Series | Lower edge | Upper edge | Count | frequency |
|---|---|---|---|---|
| packing_time_s | 40 | 60 | 1 | 1 |
| packing_time_s | 60 | 80 | 4 | 4 |
| packing_time_s | 80 | 100 | 8 | 8 |
| packing_time_s | 100 | 120 | 14 | 14 |
| packing_time_s | 120 | 140 | 10 | 10 |
| packing_time_s | 140 | 160 | 15 | 15 |
| packing_time_s | 160 | 180 | 11 | 11 |
| packing_time_s | 180 | 200 | 12 | 12 |
| packing_time_s | 200 | 220 | 10 | 10 |
| packing_time_s | 220 | 240 | 4 | 4 |
| packing_time_s | 240 | 260 | 1 | 1 |
7. Create a report
Keep the native chart and Data used, together with Data summary, Histogram bins. 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.