Charts 新聞

用箱形圖解釋資料分佈

3月 12, 2026
React 圖表控制項有助於視覺化四分位元數、中位數和離群值，從而使在儀錶盤和應用中分析統計資料更簡便。

Box plots in React chart controls are statistical visualizations used to present the distribution of a dataset by highlighting key summary values, including the minimum, first quartile (Q1), median, third quartile (Q3), and maximum. In React applications, chart components render this information as a rectangular box representing the interquartile range, with lines known as whiskers extending to the minimum and maximum values, and optional markers indicating outliers. This visualization allows developers and analysts to quickly understand data spread, central tendency, and variability within a dataset. Box plots are commonly used in analytical dashboards, financial analysis tools, and scientific applications built with React, where comparing distributions and identifying anomalies across multiple data groups is important.

Many React chart controls support box plots including:

  • Highcharts Core by Highsoft lets you visualize statistical distributions using box plot charts in React, highlighting quartiles, medians, ranges, and outliers.
  • KendoReact Charts (part of KendoReact by Telerik) allows you to render box plot visualizations in React, presenting quartile ranges, medians, and extreme values clearly.
  • amCharts 5: Charts facilitates advanced box plot visualizations in React environments, enabling developers to examine distribution patterns, quartiles, and anomalies effectively.
  • ZingChart allows you to build box plot charts within React applications, presenting statistical summaries including quartiles, medians, ranges, and outliers.

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

Compare React Chart Controls

以標準圖清晰呈現資料

3月 10, 2026
使用熟悉的圖表類型來展示整個應用資料的趨勢、比例、關係和流程階段。

Standard chart types form the foundation of most charting components, providing widely recognized visual formats for representing numerical and categorical data. These charts help developers present trends, comparisons, distributions, and relationships in ways that are immediately understandable to end users. Because these visualizations are familiar across industries, they are commonly included as built-in options in charting libraries and dashboards, allowing applications to communicate insights clearly while supporting interactive features such as tooltips, legends, and dynamic data updates.

Common chart types include:

  • Area charts display quantitative trends over time while emphasizing cumulative values through filled regions beneath a line.
  • Column & Bar charts compare values across categories using vertical or horizontal bars, making them suitable for ranking and side-by-side comparisons.
  • Funnel charts represent sequential stages in a process, typically used to visualize conversion rates or drop-off between steps.
  • Line charts illustrate continuous data trends across time or ordered categories using connected data points.
  • Pie charts show proportional relationships within a whole by dividing a circle into segments representing percentage contributions.
  • Radar & Polar charts plot multiple variables on circular axes, enabling comparison of multivariate data across several dimensions.
  • Scatter & Bubble charts visualize relationships between variables by plotting points across two axes, with bubble variations adding a third value through marker size.

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

Explore Blazor Standard Charts

在 Vue.js 應用程式中將圖表綁定到 JSON

2月 23, 2026
使用 JSON 作為資料來源，將結構化資料與 Vue.js 中的圖表元件連接起來，從而減少資料轉換並簡化 API 集成。

Using JSON (JavaScript Object Notation) as a data source for charts allows applications to bind structured, lightweight data directly to visualization components. JSON represents data as objects and arrays, making it well suited to defining categories, series, and individual data points in a format that aligns naturally with modern web development practices. Its widespread use in RESTful APIs and web services enables charts to consume live or remote datasets efficiently, while reducing the need for complex data transformation before rendering.

Several Vue.js chart components allow you to use JSON as a data source, including:

  • DevExtreme Vue Chart (part of DevExtreme Complete by DevExpress) accepts JSON via its dataSource, enabling binding to local or remote data with series and argument mapping.
  • Highcharts Core by Highsoft uses JSON-based arrays and configuration objects to populate series and categories, either directly or via asynchronous loading.
  • Kendo UI Vue Charts (part of Kendo UI by Telerik) bind to object arrays, typically sourced from JSON, with property mapping to series and axes.
  • FusionCharts Suite XT natively supports JSON, allowing full chart configuration and datasets to be defined and passed directly to the chart engine.

For an in-depth analysis of features and price, visit our comparison of Vue.js charting components.

Compare Vue.js Chart Components

用 Tornado 圖比較複雜資料

2月 19, 2026
TeeChart for .NET 2026 添加 Tornado 圖系列類型，便於在儀錶盤中清晰的並排比較和敏感度分析。

TeeChart for .NET is a comprehensive charting solution that enables developers to create informative, visually compelling charts for financial, scientific, statistical, and business applications. It manages complex data and delivers interactive visualizations. With optional source code and enterprise editions that include mobile and JavaScript components, TeeChart for .NET provides flexibility, customization, and consistent charting across desktop, web, and mobile platforms.

The TeeChart for .NET 2006 update introduces a Tornado Chart series type that enables developers to present structured side-by-side comparisons and perform sensitivity analysis. This chart type is particularly effective for highlighting the relative impact of multiple variables, making it well suited for financial modeling, risk assessment, and analytical dashboards. By offering built-in support within the existing TeeChart framework, it reduces the need for custom visualization logic, accelerates development time, and ensures consistent integration across reporting, analytics, and business applications.

To see a full list of what's new in version 2026, see our release notes.

TeeChart for .NET is licensed per developer and is available as a perpetual license. Each license includes one year of updates and upgrades. See our TeeChart for .NET Pro Edition licensing page for full details.

This update for TeeChart for .NET is available is available in the following products:

提供支援 .NET 10 的進階圖表功能

2月 17, 2026
.netCHARTING 10.8 為最新的 .NET 平臺配置了其資料視覺化引擎，從而確保開發人員能構建新式圖表解決方案。

.netCHARTING is a comprehensive charting solution designed for C# and VB.NET developers working with ASP.NET or WinForms. It enables the rapid creation of dynamic, data-driven charts with minimal coding effort. Built entirely with managed C# code, .netCHARTING seamlessly integrates data access, aggregation, and visualization, allowing developers to generate interactive and visually compelling charts from various data sources, including SQL Server, Oracle, and MySQL. The platform supports a wide array of chart types - such as bar, line, pie, and geographic maps - and offers features like JavaScript and HTML5 charting for enhanced interactivity across devices, including mobile platforms. By automating complex tasks like date handling and data aggregation, .netCHARTING simplifies the development process, enabling professionals to deliver insightful data visualizations efficiently.

The .netCHARTING 10.8 release introduces official .NET 10 support with a dedicated NuGet package and sample bundle that run on the latest Microsoft tooling, enabling developers to build and optimize visualizations on the newest cross-platform .NET platform. This update ensures compatibility with the latest Visual Studio 2026 and Windows Server environments, letting teams leverage the performance and productivity improvements of .NET 10 in their charting solutions while continuing to benefit from a mature, feature-rich chart control.

.netCHARTING is licensed per site (1 web site on 1 server), per server (unlimited web sites on 1 server) or per developer (single application) and is available as a perpetual license with a 12 month subscription which includes major and minor upgrades and priority email support. See our .netCHARTING licensing page for full details.

For more information, visit our .netCHARTING product page.