AnyLogic Cloud: New Possibilities for Data Visualization

Attention AnyLogic Cloud users, we’d like to introduce new charts and graphs to help visualize the results of random sampling experiments. Density plot, Error plot and Scatter plot are now available on AnyLogic Cloud.

To showcase these three types of graphs, we’ll use utilize the Product Delivery model which contains product deliveries from production centers in Hamburg, Salzburg and Frankfurt to wholesalers.

Start by logging in or registering Log in or register with AnyLogic Cloud, then open the model page by clicking on the experiment section and adding the model to My models as in the picture below.

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Now the model can be edited.

Next, create a new Monte Carlo experiment. Monte Carlo experiments allow you to perform several repeated runs of the model with randomly changing parameters.

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Click 8ed64992c556e296af9d128451b8e261.png on the experiment tab.


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In this section, you can edit existing graphics or create new ones using the Add output element at the bottom of the page. In this exercise, we will create three new graphs, Density plot, Error plot and Scatter plot, and add three input values ​​to each of them using the Add item element:

  • Density plot visualizes the distribution density of data over a continuous time period. In the Product Delivery model, this represents dependence of the number of produced goods through time. The results of all model runs are visible on one graph in the form of semi-transparent curves. When the lines overlap, the color becomes brighter which indicates a greater density of distribution.
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  • Error plot - this graph is built on the same data as the previous one, but shows the average value of the results and their standard deviation.

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You can also add other output values to the graph.

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  • Scatter plot - a scatter chart of data. This graph shows how the input values change throughout the entire experiment. In our example, you can compare the utilization rates of the production centers in Hamburg, Salzburg and Frankfurt at the end of each model run.
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   To save changes, click Save experiment. Then set the desired number of runs of the model and click Run. When the experiment is complete, the data on the graphs will be updated.

That’s it! You’ve successfully performed multi-run experiments in AnyLogic Cloud. Now try it on your own with SIR Agent Based Network and the Influenza model, then share your results with other Cloud users. Simply navigate to the Sharing Settings tab of the model screen and click Publish.

If you have not used AnyLogic Cloud yet, check out our educational video. You will learn how to download a model from AnyLogic in AnyLogic Cloud, create and run experiments online, and share models with other users.

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