LinePlot

The session titled "Swift Charts: Vectorized and function plots" at WWDC 2024 covers various aspects of using Swift Charts for data visualization, particularly focusing on function and vectorized plots.

Key Points from the Session:

• Function Plots: Swift Charts allows for plotting mathematical functions using line and area plots. You can visualize the area under a curve or between two functions. The API supports parametric functions and piecewise functions, handling special cases like NaN values.

• Vectorized Plots: These are designed for efficiently handling large datasets by processing entire collections in parallel. This is useful for visualizations like scatterplots or heat maps. The vectorized plot API allows for homogeneous styling of data points, which is more efficient for large datasets.

• Customization and Performance: The session discusses how to use key paths for styling and how to optimize performance by using stored properties instead of computed properties. It also highlights the importance of grouping data by style to reduce style alternations.

• Accessibility: Swift Charts ensures that data visualizations are accessible by default, with features like VoiceOver support.

• Best Practices: The session provides guidance on when to use vectorized plots versus the mark API, emphasizing the importance of efficient rendering and style management.

For more detailed information, you can refer to the specific chapters in the session:

• Function plots
• Vectorized plots
• Best practices

These chapters provide insights into how to effectively use Swift Charts for various types of data visualizations.