Charts 뉴스

일관된 테마로 차트를 통합하세요

9월 10, 2025
모든 차트에 동일한 색상과 글꼴을 적용하여 보고서, 대시보드, 프레젠테이션 전반에 걸쳐 일관된 브랜드 스타일을 제공합니다.

Chart themes provide a simple yet powerful way to standardize the appearance of charts by applying predefined color schemes, fonts, and styling options across visualizations. Instead of manually adjusting each element, users can quickly switch between themes to achieve a consistent, professional look that aligns with brand guidelines or presentation needs. The benefits include improving readability, enhancing accessibility - with inclusive color palettes - and ensuring visual consistency across multiple charts or entire dashboards. Chart themes improve the process of creating impactful, audience-ready data visualizations.

Several .NET WPF chart components offer the ability to add themes, including:

  • Telerik WPF Chart (part of Telerik UI for WPF) allows you to switch seamlessly between chart themes, enhancing readability, accessibility, and visual appeal.
  • DevExpress WPF Chart (part of DevExpress WPF) lets you apply customizable chart themes, ensuring consistent fonts and colors that align with brand standards.
  • TeeChart WPF (pat TeeChart for .NET Standard Business Edition by Steema) facilitates professional data storytelling by using chart themes to improve style management.
  • Syncfusion WPF Chart (part of Syncfusion Essential Studio Enterprise) enables you to unify chart appearance using flexible themes, saving time and ensuring design consistency.

For an in-depth analysis of features and price, visit our .NET WPF charts comparison.

Compare .NET WPF Chart Components

차트 데이터를 Excel로 직접 추출하세요

9월 5, 2025
XLS/XLSX로 내보내면 사용자가 차트의 원시 데이터에 접근할 수 있어, 스프레드시트에 적합한 형식으로 인사이트를 더 쉽게 분석, 검토, 공유할 수 있습니다.

Exporting charts to XLS or XLSX formats enables developers to extract the structured underlying data from visualizations and make it available for deeper analysis or downstream processing. Rather than being confined to image or PDF exports, this approach allows for easy integration of chart data with spreadsheet tools and data workflows. By converting charts into Excel files, users gain the ability to manipulate, filter, or augment data, ideal for reporting, auditing, or business intelligence scenarios where numerical insights must be both visual and actionable.

Several Blazor charting controls offer the ability to export charts to XLS/XLSX including:

  • FusionCharts Blazor Suite XT (part of FusionCharts Suite XT) offers chart-data export to XLSX (Excel) format via its export menu or API, supported in both client-side and server-side export modes when exportEnabled is set, providing flexible, one-click access to underlying chart data.
  • TeeChart .NET for Blazor by Steema Software enables chart exports not only as images and PDFs, but also as structured data to Microsoft Excel formats (XLS/XLSX), along with exports to XML, HTML, CSV, and native chart formats, supporting a full range of sharing and reuse scenarios.
  • Syncfusion Blazor Chart (part of Syncfusion Essential Studio Enterprise) provides a unified ExportAsync method enabling direct export of chart content, including underlying data, to XLSX or CSV files. This improves distribution of chart data alongside visual exports, especially in analytics and reporting contexts.

For an in-depth analysis of features and price, visit our Blazor charting controls comparison.

Compare Blazor Charting Controls

여러 변수 간의 관계를 강조하세요

8월 29, 2025
다차원 차트는 여러 지표 또는 축 전반의 패턴과 추세를 보여주므로, 복잡한 데이터 분석에 이상적입니다.

Multi-dimensional and relationship charts allow developers to present complex data structures and inter-variable relationships in a way that’s visually intuitive and analytically powerful. These chart types are essential for exploring correlations, comparing grouped metrics, and visualizing distributions across multiple dimensions. They are commonly used in statistical dashboards, performance analysis tools, and scientific applications where simple line or bar charts aren’t sufficient to capture the full context of the data.

Common charts include:

  • Combination Charts allow developers to overlay different chart types, such as bars, lines, and areas, within a single axis system, enabling comparison across metrics with varying scales or data types.
  • Radar & Polar Charts display multivariate data in a circular format, ideal for comparing values across categories that share a common center point, such as performance metrics or skill assessments.
  • Radial Chart formats extend circular visualization into more structured layouts, such as radial bar or radial line charts, providing a compact and distinctive way to show cyclical data or category-based trends.
  • Scatter & Bubble Charts plot data along two or three axes, often using the size of bubbles to represent an additional variable, making them ideal for visualizing trends, clusters, and outliers in high-volume datasets.

For an in-depth analysis of features and price, visit our Angular Chart components comparison.

Explore Angular Standard Charts

맵 차트로 지리적 추세를 시각화하세요

8월 26, 2025
값을 쉽게 비교하고, 지역별 패턴을 표시하고, 실행 가능한 인사이트를 발견할 수 있는 생생한 지도 차트로 데이터를 변환하세요.

A map chart is a visual representation of data that displays values across geographic regions using colors, shading, or markers, making complex information easier to interpret. By placing data in a spatial context, map charts help users quickly identify regional patterns, trends, and outliers that might be overlooked in traditional tables or graphs. They are particularly useful for comparing values across countries, states, or counties, enabling clearer insights into geographically distributed data. Common use cases include illustrating population density, highlighting election results, analyzing sales performance by region, and presenting economic indicators. The key benefits of map charts include their ability to simplify complex datasets, provide intuitive comparisons, and support data-driven decision-making by visually connecting numbers with real-world locations.

Several .NET Core chart controls offer map charts including:

  • DevExpress WinForms Chart (part of DevExpress WinForms) lets you visualize geographic data with customizable map charts, enabling precise regional comparisons.
  • ComponentOne Charts for WinForms (part of ComponentOne Studio WinForms by MESCIUS) allows you to transform spatial datasets into interactive map charts.
  • Telerik WPF Chart (part of Telerik UI for WPF) facilitates powerful geographic storytelling through map charts, helping users reveal trends and explore regional performance.
  • Infragistics WPF Charts (part of Infragistics Ultimate UI for WPF) enables you to analyze data contextually with map charts, combining intuitive design and clear visualization.

For an in-depth analysis of features and price, visit our .NET Core chart controls comparison.

Compare .NET Core Chart Controls

차트 범례를 더 효과적으로 컨트롤하세요

8월 26, 2025
LightningChart JS v8.0에는 더 스마트한 기본값, 유연한 위치 지정, 향상된 사용자 지정을 통해 완전히 개선된 범례 시스템이 도입되었습니다.

LightningChart JS is a high-performance JavaScript charting library that utilizes WebGL rendering and GPU acceleration to deliver exceptional performance for a wide range of data visualization needs. It is designed to handle large datasets and complex visualizations with ease, enabling developers to create interactive and visually appealing 2D and 3D charts. Ideal for applications demanding smooth real-time data updates, such as financial platforms, engineering tools, scientific research dashboards, and industrial monitoring systems, LightningChart JS provides a comprehensive API for customization and integration into web-based projects.

The LightningChart JS v8.0 update completely reworks legend functionality, making legends a property of the chart, removing visual obstructions, and improving adaptability to available space. The API configuration is now more intuitive and capable, with built-in options supporting a wider range of use cases. Plug‑in support also enables easy extension or customization of legend behavior. By default, legends now appear automatically beneath trends, reducing developer setup time, while still allowing you to manually create multiple legends when needed. You can position legends using built-in presets or define custom placements, and control click behavior using either the provided handlers or your own. When creating series, you can also exclude specific ones from appearing in legends, giving you fine-grained control over legend content.

To see a full list of what's new in v8.0, see our release notes.

LightningChart JS is licensed per developer and is available as an annual license with 1 year support. See our LightningChart JS licensing page for full details.

For more information, see our LightningChart JS product page.