Example: dispatch delays
Generate 200 simulated dispatch delays in minutes for a practice study. The supplied model allows delays between 0 and 10 minutes.
Download the generator parameters (reference CSV)This is the same example used in Help. The CSV lists the generator parameters for reference. Enter them manually on Inputs; importing the CSV does not configure the generator or provide measured observations.
1. Create the generator
In the sidebar, choose Data utilities, then Create Random Data. Name the analysis, select New blank worksheet and choose Create analysis. This worksheet receives the generated columns.
2. Set the generated variable
On Inputs, under Generated variables, enter dispatch_delay_min in Column name and 200 in Number of observations. Choose Uniform in Distribution.
Enter 0 in Lower bound and 10 in Upper bound. Both bounds use minutes.
3. Set the seed and destination
Open Reproducibility and enter 42 in Random seed.
Check Worksheet output: the destination should be your analysis worksheet, with one new column. Generate once to reproduce this example. Each successful run appends new columns.
4. Generate data
Choose Generate data, then open Results. Open Worksheet to see the new columns.
5. Interpret results
Check the generated output
There is one new column, dispatch_delay_min, with 200 values. These are simulated observations for practice, not measured production data.
Read the model
Under this model, equal-length intervals between 0 and 10 minutes have equal probability. Individual delays need not be evenly spaced, and a sample need not contain equal counts in every interval.
Read a generated row
The first generated delay is about 7.740 minutes. Read each row as a delay duration, not a clock time or a record of real dispatch performance.
Use the sample deliberately
Use the generated columns to practise an analysis or explore the supplied model. Seed 42 repeats this sample with the same ordered definitions and calculation version. A blank seed requests a fresh sample. Running Generate data again appends columns; it does not replace the earlier output.
More details: read each result section
Complete result tables use six significant digits, as in Help.
Generation summary
The summary lists dispatch_delay_min, its 200 valid values, the distribution and seed 42.
Calculated example output. Running a practice copy writes new columns to its independent worksheet.
| Definition | Output column | Distribution | Valid values | Seed |
|---|---|---|---|---|
| dispatch_delay_min | dispatch_delay_min | uniform | 200 | 42 |
Captured generator parameters
Under this model, equal-length intervals between 0 and 10 minutes have equal probability. Individual delays need not be evenly spaced, and a sample need not contain equal counts in every interval.
| Definition | Parameter | Value |
|---|---|---|
| dispatch_delay_min | lower | 0 |
| dispatch_delay_min | upper | 10 |
Generated values
All 200 generated rows are retained in generation order. The first generated delay is about 7.740 minutes. Read each row as a delay duration, not a clock time or a record of real dispatch performance.
Captured values in original row order. Exports retain full precision.
| Row | dispatch_delay_min |
|---|---|
| 1 | 7.73956 |
| 2 | 4.38878 |
| 3 | 8.58598 |
| 4 | 6.97368 |
| 5 | 0.941773 |
| 6 | 9.75622 |
| 7 | 7.6114 |
| 8 | 7.86064 |
| 9 | 1.28114 |
| 10 | 4.50386 |
| 11 | 3.70798 |
| 12 | 9.26765 |
| 13 | 6.43865 |
| 14 | 8.22762 |
| 15 | 4.43414 |
| 16 | 2.27239 |
| 17 | 5.54585 |
| 18 | 0.638173 |
| 19 | 8.27631 |
| 20 | 6.31664 |
| 21 | 7.58088 |
| 22 | 3.54526 |
| 23 | 9.70698 |
| 24 | 8.93121 |
| 25 | 7.78383 |
| 26 | 1.94639 |
| 27 | 4.66721 |
| 28 | 0.438038 |
| 29 | 1.54289 |
| 30 | 6.83049 |
| 31 | 7.44762 |
| 32 | 9.6751 |
| 33 | 3.25825 |
| 34 | 3.7046 |
| 35 | 4.69556 |
| 36 | 1.89471 |
| 37 | 1.29922 |
| 38 | 4.75705 |
| 39 | 2.26909 |
| 40 | 6.69814 |
| 41 | 4.37152 |
| 42 | 8.32678 |
| 43 | 7.00265 |
| 44 | 3.12367 |
| 45 | 8.3226 |
| 46 | 8.04764 |
| 47 | 3.87478 |
| 48 | 2.88328 |
| 49 | 6.82496 |
| 50 | 1.39752 |
| 51 | 1.99908 |
| 52 | 0.0736227 |
| 53 | 7.86924 |
| 54 | 6.64851 |
| 55 | 7.05165 |
| 56 | 7.80729 |
| 57 | 4.58916 |
| 58 | 5.68741 |
| 59 | 1.39797 |
| 60 | 1.1453 |
| 61 | 6.68403 |
| 62 | 4.71096 |
| 63 | 5.65236 |
| 64 | 7.64999 |
| 65 | 6.34718 |
| 66 | 5.53579 |
| 67 | 5.59207 |
| 68 | 3.0395 |
| 69 | 0.308178 |
| 70 | 4.36717 |
| 71 | 2.14585 |
| 72 | 4.08529 |
| 73 | 8.53403 |
| 74 | 2.33939 |
| 75 | 0.583027 |
| 76 | 2.81384 |
| 77 | 2.93594 |
| 78 | 6.61917 |
| 79 | 5.57032 |
| 80 | 7.83898 |
| 81 | 6.64314 |
| 82 | 4.06387 |
| 83 | 8.1402 |
| 84 | 1.66973 |
| 85 | 0.227121 |
| 86 | 0.900479 |
| 87 | 7.22359 |
| 88 | 4.61877 |
| 89 | 1.61272 |
| 90 | 5.01045 |
| 91 | 1.52312 |
| 92 | 6.9632 |
| 93 | 4.46156 |
| 94 | 3.81021 |
| 95 | 3.01512 |
| 96 | 6.30283 |
| 97 | 3.61813 |
| 98 | 0.876499 |
| 99 | 1.18006 |
| 100 | 9.61898 |
| 101 | 9.08581 |
| 102 | 6.99707 |
| 103 | 2.6587 |
| 104 | 9.69176 |
| 105 | 7.78751 |
| 106 | 7.1689 |
| 107 | 4.49362 |
| 108 | 2.72242 |
| 109 | 0.96391 |
| 110 | 9.02602 |
| 111 | 4.55776 |
| 112 | 2.02363 |
| 113 | 3.05957 |
| 114 | 5.7922 |
| 115 | 1.76773 |
| 116 | 8.56614 |
| 117 | 7.5852 |
| 118 | 7.19463 |
| 119 | 4.32093 |
| 120 | 6.27309 |
| 121 | 5.84098 |
| 122 | 6.49847 |
| 123 | 0.844443 |
| 124 | 4.15807 |
| 125 | 0.416142 |
| 126 | 4.93991 |
| 127 | 3.29861 |
| 128 | 1.44524 |
| 129 | 1.03403 |
| 130 | 5.87645 |
| 131 | 1.70593 |
| 132 | 9.2512 |
| 133 | 5.81061 |
| 134 | 3.4687 |
| 135 | 5.90915 |
| 136 | 0.228039 |
| 137 | 9.58559 |
| 138 | 4.82303 |
| 139 | 7.82735 |
| 140 | 0.8273 |
| 141 | 4.86658 |
| 142 | 4.90707 |
| 143 | 9.37826 |
| 144 | 5.71728 |
| 145 | 4.73489 |
| 146 | 2.66976 |
| 147 | 3.31569 |
| 148 | 5.20672 |
| 149 | 4.38911 |
| 150 | 0.216121 |
| 151 | 8.26292 |
| 152 | 8.96161 |
| 153 | 1.40249 |
| 154 | 5.54036 |
| 155 | 1.08576 |
| 156 | 6.7224 |
| 157 | 2.81234 |
| 158 | 6.59423 |
| 159 | 7.26995 |
| 160 | 7.68647 |
| 161 | 1.07741 |
| 162 | 9.16012 |
| 163 | 2.30214 |
| 164 | 0.374126 |
| 165 | 5.54852 |
| 166 | 3.70922 |
| 167 | 8.2979 |
| 168 | 8.08251 |
| 169 | 3.17139 |
| 170 | 9.52899 |
| 171 | 2.90918 |
| 172 | 5.15057 |
| 173 | 2.55965 |
| 174 | 9.36044 |
| 175 | 1.64608 |
| 176 | 0.449106 |
| 177 | 4.35097 |
| 178 | 9.92376 |
| 179 | 8.91677 |
| 180 | 7.48608 |
| 181 | 8.90792 |
| 182 | 8.93447 |
| 183 | 5.18858 |
| 184 | 3.15929 |
| 185 | 7.72012 |
| 186 | 6.61661 |
| 187 | 3.73658 |
| 188 | 0.944667 |
| 189 | 7.4679 |
| 190 | 2.62461 |
| 191 | 9.36813 |
| 192 | 2.40971 |
| 193 | 1.22758 |
| 194 | 8.31113 |
| 195 | 1.53284 |
| 196 | 1.79268 |
| 197 | 5.99383 |
| 198 | 8.74562 |
| 199 | 1.96435 |
| 200 | 3.10324 |
6. Create a report
Keep Generation summary, Captured generator parameters and Generated values. Record the seed, the model and its units. Label the output as simulated practice data.
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.