Neuigkeiten zu Charts

Untersuchen von Daten mit mehrstufigen Drill-down-Diagrammen

März 12, 2026
FusionCharts Suite XT ermöglicht interaktive Drilldown-Diagramme mit anklickbaren Datenpunkten, die tiefere Einblicke offenbaren und komplexe Datensätze vereinfachen.

FusionCharts Suite XT is a collection of charting and mapping tools that helps developers create interactive and data-driven dashboards for their web and mobile applications. It provides a wide range of features, including over 100 chart types, data-driven maps, and a variety of customization options. FusionCharts Suite XT helps you visualize and present data in a clear and engaging way.

FusionCharts Suite XT allows developers to implement drill down charts that let users click individual data points to view related charts with more detailed information. This functionality helps developers present large or complex datasets in a structured way, allowing applications to display high level summaries while providing access to deeper data when required. By supporting multiple levels of drill down across most chart types, it supports scalable and interactive data exploration without overloading the initial visualization.

FusionCharts Suite XT is licensed through tiered plans, including Basic, Pro, Enterprise, and Enterprise+, available as annual or perpetual licenses for different developer and deployment needs. See our FusionCharts Suite XT licensing page for full details.

For more information, visit our FusionCharts Suite product page.

Erklären der Datenverteilung mit Box-Plot-Diagrammen

März 12, 2026
React-Diagramm-Steuerelemente ermöglichen die Visualisierung von Quartilen, Medianen und Ausreißern, was die Analyse statistischer Daten in Dashboards und Anwendungen erleichtert.

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

Übersichtliche Darstellung von Daten mit Standarddiagrammen

März 10, 2026
Verwenden Sie vertraute Diagrammtypen, um Trends, Proportionen, Beziehungen und Prozessphasen in verschiedenen Anwendungsdaten darzustellen.

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

Einbinden von Diagrammen in JSON mithilfe von Vue.js-Anwendungen

Februar 23, 2026
Nutzen Sie JSON als Datenquelle, um strukturierte Daten mit Diagrammkomponenten in Vue.js zu verbinden, wodurch die Datentransformation reduziert und die API-Integration vereinfacht wird.

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

Vergleichen komplexer Daten mit Tornado-Diagrammen

Februar 19, 2026
TeeChart for .NET 2026 integriert einen Tornado-Chart-Serientyp, um klare Seitenvergleiche und eine aufschlussreiche Sensitivitätsanalyse in Dashboards zu ermöglichen.

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: