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## Quickstart sample
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[This sample](/QuickstartSample/) app was created by following the [ScottPlot Uno Platform Quickstart documentation](https://scottplot.net/quickstart/unoplatform).
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[This sample](./QuickstartSample/) app was created by following the [ScottPlot Uno Platform Quickstart documentation](https://scottplot.net/quickstart/unoplatform).
[This sample](/SignalPlotFiveMillionPointsSample/) app was created the same way by following the [ScottPlot Uno Platform Quickstart documentation](https://scottplot.net/quickstart/unoplatform). Only the code-behind defers to display a signal plot with 5 million random points.
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[This sample](./SignalPlotFiveMillionPointsSample/) app was created the same way by following the [ScottPlot Uno Platform Quickstart documentation](https://scottplot.net/quickstart/unoplatform). Only the code-behind defers to display a signal plot with 5 million random points.
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## SQLite Data Persistence and Large Dataset Visualization Sample
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[This sample](/DataPersistedSample/) demonstrates how to combine SQLite for database-driven data persistence with ScottPlot for visualizing large datasets. It showcases how to handle and visualize different plot types while persisting the data in a database for long-term storage:
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[This sample](./DataPersistedSample/) demonstrates how to combine SQLite for database-driven data persistence with ScottPlot for visualizing large datasets. It showcases how to handle and visualize different plot types while persisting the data in a database for long-term storage:
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-**SignalPlot and SignalConst**: These are the most memory-efficient for large datasets with evenly spaced X-values.
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-**ScatterPlot (with downsampling)**: Ideal for non-uniform X-values, using downsampling to optimize performance.
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