01_user_documentation:05_object:04_data:01_dataset
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| ====== Dataset | ====== Dataset | ||
| - | It create | + | GroIMP supports the creation and visualization of datasets, which are simple tables used to store and track numerical data during simulations. Each dataset consists of rows called data series, and values are added to individual cells using code. |
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| + | ====== | ||
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| + | Datasets are accessible | ||
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| + | Titles for columns can be set, and data can be [[01_user_documentation: | ||
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| + | Datasets are persistent across simulation runs unless explicitly cleared. | ||
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| + | ===== Export ===== | ||
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| + | Using the [[01_user_documentation: | ||
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| + | * txt | ||
| + | * csv | ||
| + | * html | ||
| + | * xls | ||
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| + | Using rgg code datasets can be exported to csv with the [[ 01_user_documentation: | ||
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| + | For code examples see the [[02_user_tutorials: | ||
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| + | ===== Cleaning ===== | ||
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| + | Since datasets are persistent across simulation runs old data is kept inside. A dataset can be clean using the datasetRef function [[01_user_documentation: | ||
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| + | ===== Adding data ===== | ||
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| + | The only way to add values to a dataset is through RGG code executed either in the model or in the xl console, using the [[01_user_documentation: | ||
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| + | ==== adding multipe values for one cell ==== | ||
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| + | In order to use the [[01_user_documentation: | ||
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01_user_documentation/05_object/04_data/01_dataset.1738235253.txt.gz · Last modified: 2025/01/30 12:07 by gaetan
