Uploaded December 2017 | Updated September 2026, 2 weeks ago
Transform your data in real-time with SciChart's powerful Filters API. This overview demonstrates how to easily add trendlines, moving averages, spline interpolation, and custom calculations to your WPF charts, with automatic updates when underlying data changes.
Discover how to enhance data analysis with polynomial trends, low-pass filters, data aggregation, and scaling operations. The Filters API provides mathematical power alongside seamless chart integration for sophisticated financial, scientific and engineering applications.
What you can achieve:
- Trendlines, moving averages & polynomial trends
- Spline interpolation & low-pass filters
- Data aggregation & custom calculations
- Real-time updates as data changes
Why Developers Choose SciChart
– Powerful Data Transformation: Comprehensive filtering and function capabilities
– Real-Time Performance: Automatic updates as underlying data changes
– Mathematical Sophistication: From simple trends to complex custom filters
– Seamless Integration: Works naturally with SciChart's high-performance rendering
Learn More
Official Website: scichart.com/wpf-chart-features
Examples: scichart.com/wpf-chart-examples
Download Examples: scichart.com/downloads
GitHub Repository: github.com/ABTSoftware/SciChart.WPF.Examples
Tech Support: scichart.com/questions
SciChart's Filters API brings mathematical power to your data visualization, enabling sophisticated analysis and real-time data transformation without compromising on performance or developer experience.
#WPFCharts #DataAnalysis #FiltersAPI #DataVisualization #SciChart #WPFDevelopment #RealTimeCharts #DataScience #DotNet
Transform your data in real-time with SciChart's powerful Filters API. This overview demonstrates how to easily add trendlines, moving averages, spline interpolation, and custom calculations to your WPF charts, with automatic updates when underlying data changes.
Discover how to enhance data analysis with polynomial trends, low-pass filters, data aggregation, and scaling operations. The Filters API provides mathematical power alongside seamless chart integration for sophisticated financial, scientific and engineering applications.
What you can achieve:
- Trendlines, moving averages & polynomial trends
- Spline interpolation & low-pass filters
- Data aggregation & custom calculations
- Real-time updates as data changes
Why Developers Choose SciChart
– Powerful Data Transformation: Comprehensive filtering and function capabilities
– Real-Time Performance: Automatic updates as underlying data changes
– Mathematical Sophistication: From simple trends to complex custom filters
– Seamless Integration: Works naturally with SciChart's high-performance rendering
Learn More
Official Website: scichart.com/wpf-chart-features
Examples: scichart.com/wpf-chart-examples
Download Examples: scichart.com/downloads
GitHub Repository: github.com/ABTSoftware/SciChart.WPF.Examples
Tech Support: scichart.com/questions
SciChart's Filters API brings mathematical power to your data visualization, enabling sophisticated analysis and real-time data transformation without compromising on performance or developer experience.
#WPFCharts #DataAnalysis #FiltersAPI #DataVisualization #SciChart #WPFDevelopment #RealTimeCharts #DataScience #DotNet
