--- title: "Datasets from Simulations" slug: "datasets-from-simulations" updated: 2022-06-28T18:46:38Z published: 2022-06-28T18:46:38Z canonical: "userguide.dataclassroom.com/datasets-from-simulations" --- > ## Documentation Index > Fetch the complete documentation index at: https://userguide.dataclassroom.com/llms.txt > Use this file to discover all available pages before exploring further. # Datasets from Simulations If you want to go further and run a detailed analysis or make visualizations of the data you've generated, you can hit **Create Dataset** and DataClassroom will make the dataset for you, with the graph already configured to a relevant view. There are two options: ![](https://cdn.document360.io/62f8f41e-e041-42c4-b9bc-8ae1eb45d064/Images/Documentation/image-1656073683125.png) **From this run** makes a dataset based on the **current Run**, as highlighted in green and showing in your graph and table. **From stats summaries** makes an aggregated dataset, containing the descriptive statistics (i.e. the mean, median etc.) from **all** the existing runs. See [Multiple Simulation runs](/v1/docs/multiple-simulation-runs) for details on making multiple runs and looking at their statistics. You can use the name it gives you, or edit it to make your own: ![](https://cdn.document360.io/62f8f41e-e041-42c4-b9bc-8ae1eb45d064/Images/Documentation/image-1656073900949.png) You can open the new dataset right away, usually in a new tab, so you can keep the simulation open while you look at it; ![](https://cdn.document360.io/62f8f41e-e041-42c4-b9bc-8ae1eb45d064/Images/Documentation/image-1656073982444.png) ### Example From this simulation: ![](https://cdn.document360.io/62f8f41e-e041-42c4-b9bc-8ae1eb45d064/Images/Documentation/light_height_800x.png) You would get this dataset by default: ![](https://cdn.document360.io/62f8f41e-e041-42c4-b9bc-8ae1eb45d064/Images/Documentation/image-1656074619724.png) ### Choice of default graph in the dataset You can of course switch between a dot plot and a histogram in the Graph view with a single button click. But you will start from: - A **dot plot**, if the number of dots is "not too high" (500 at the time of writing) - A **histogram**, if there are more dots than the above, as this gives a better overview.