Charts News

Visualize Geographical Trends with Map Charts

October 9, 2025
Discover insights with color-coded geographical views using interactive map charts that reveal regional patterns and highlight key metrics.

A map chart is a data visualization tool that displays information across geographic regions, helping users uncover spatial patterns, trends, and relationships. By plotting values onto countries, states, or custom areas, it transforms complex datasets into clear, location-based insights. Features like color-coding, zooming, and drill-down navigation allow for interactive exploration and comparison across regions. Common use cases include analyzing sales performance by region, tracking market coverage, visualizing customer distribution, or monitoring demographic trends, all of which support data-driven decision-making with a strong geographic context.

Several JavaScript chart controls offer map charts including:

  • DevExtreme Chart (part of DevExtreme Complete by DevExpress) lets you visualize geographic data with interactive map charts, enabling detailed spatial insights.
  • Highcharts Core by Highsoft allows you to create dynamic map charts with drill-down capabilities, gradient coloring, and responsive designs for geographic data exploration.
  • AnyChart JS facilitates clear spatial analysis through customizable map charts featuring tooltips, projections, and region-based color differentiation for deeper insight.
  • Syncfusion JavaScript Chart (part of Syncfusion Essential Studio Enterprise) lets you build map charts with real-time data updates, heatmap overlays, and intuitive navigation.

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

Compare JavaScript Chart Controls

Visualize Metrics with Mixed Series Types

October 3, 2025
Create data visualizations that display multiple chart types in a single graphic using combination charts, for more effective data analysis in Vue.js.

A combination chart or combo chart is a versatile type of data visualization that displays multiple chart types, such as columns, lines, or areas, to represent different data series within a single graphic. Combination charts are especially useful in scenarios where a single data type cannot fully convey the complexity of the dataset. By presenting different series types together, combination charts enhance the clarity and depth of insight available in a single view, be it on the same axis or across dual axes. This helps users to analyze complex relationships, trends and correlations between metrics more effectively than separate charts would allow.

Several Vue.js chart components allow you to combine series types on the same chart, including:

  • DevExtreme Chart (part of DevExtreme Complete by DevExpress) lets you combine chart types to visualize related datasets with shared axes for more informative comparisons.
  • Wijmo FlexChart and FinancialChart (part of Wijmo by MESCIUS) allow you to build flexible combination charts in Vue.js to display related data in one convenient graphic.
  • Highcharts Core by Highsoft enables developers to integrate multiple series types into a single chart with responsive behavior and rich interaction options.
  • Kendo UI for Vue Chart (part of Kendo UI by Telerik) facilitates mixed-type charting, allowing developers to present multifaceted data using a single, customizable component.

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

Compare Vue.js Chart Components

Convert Chart Data into Report-Ready Formats

September 24, 2025
Take visual insights beyond the browser with export tools that convert interactive charts into shareable, printable, and embeddable formats.

Export features in charting components allow developers and users to take visualized data beyond the browser, whether for sharing, archiving, or integrating into reports and presentations. These tools support a wide range of formats and workflows, transforming interactive charts into portable assets that can be printed, saved, or embedded in other applications. By offering export capabilities alongside dynamic charting, modern components bridge the gap between visual exploration and formal communication of data, ensuring insights can be distributed effectively in both digital and hardcopy formats.

Common features include:

  • Exporting to CSV allows users to extract the underlying data behind a chart into a structured, plain-text format suitable for spreadsheets and data processing tools.
  • Exporting to HTML enables charts to be converted into standalone HTML snippets, preserving interactivity for use in dashboards or embedded web reports.
  • Exporting to Image such as PNG or JPEG images enables easy sharing in emails, slide decks, or documents where interactivity isn't required.
  • Exporting to PDF allows charts to be included in high-fidelity, print-ready documents, useful for formal reporting or offline distribution.
  • Exporting to SVG generates resolution-independent vector graphics that can be scaled or edited in design tools.
  • Exporting to XLS/XLSX enables charts and their associated data to be embedded into Excel files, supporting deeper spreadsheet-based analysis or reporting.
  • Printing support ensures users can produce physical copies of charts, with control over layout, sizing, and page formatting.

For an in-depth analysis of features and price, visit our ASP.NET Core charting components comparison.

Explore ASP.NET Core Charting Features

Convey Trends with Compact Data Visualization

September 22, 2025
Leverage sparklines in your Vue.js projects to display small scale charts that provide quick in-context trend recognition to aid data analysis.

Typically embedded within text, tables/grids, or dashboards, sparklines are small-scale, data-driven graphics that present trends, patterns, or fluctuations within a dataset in a visually compact format. Unlike full-scale charts, sparklines do not include axes or labels, allowing them to present time-series or categorical data in a condensed form to deliver immediate visual cues without interrupting the flow of surrounding content. This design makes sparklines well-suited for highlighting patterns and changes over time or comparing multiple values side-by-side whilst helping users quickly identify key insights without leaving the context of the data.

Several Vue.js charting components offer sparkline functionality, including:

  • DevExtreme Chart (part of DevExtreme Complete by DevExpress) lets you render compact sparklines directly within grids or dashboards, offering quick visual insights into dynamic data changes.
  • Highcharts Core by Highsoft allows you to embed minimalist sparklines in tables or reports, presenting trends clearly without additional charting overhead.
  • Kendo UI for Vue Chart (part of Kendo UI by Telerik) supports lightweight sparklines to visualize patterns inline, making them ideal for summarizing series data in grids.
  • amCharts 5: Charts facilitates the creation of embedded sparklines, effectively conveying trends in small spaces without distracting from surrounding interface elements.

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

Compare Vue.js Chart Components

Track Data Flows with Sankey Series Charts

September 18, 2025
TeeChart Pro VCL/FMX 2025.45.250910 adds Sankey Series support to map complex data relationships and flow distributions with greater clarity.

TeeChart Pro VCL/FMX by Steema Software is a comprehensive charting library designed for Embarcadero's Delphi and C++Builder environments, supporting both the VCL (Visual Component Library) and FMX (FireMonkey) frameworks. It provides developers with a rich set of chart types, advanced data visualization tools, and interactive features to build visually compelling and data-intensive applications across Windows, macOS, iOS, and Android. With support for real-time charting, custom drawing, statistical functions, and export capabilities, TeeChart Pro is tailored for high-performance applications that demand precise and dynamic chart displays.

The TeeChart Pro VCL/FMX 2025 (Build 2025.45.250910) update introduces the Sankey Series chart type, which gives developers a new tool for visualizing flows and relationships in data (e.g. movement of quantities between states, split‑paths, or aggregations). It enables rendering of nodes and links whose thickness is proportional to the magnitude of the flow, allowing you to more directly see how values distribute and split across paths. This enhances insight into complex datasets in ways that standard bar, line, or pie charts cannot, helping in diagnosing bottlenecks, tracing resource paths, or modelling multi‑stage processes with clarity.

To see a full list of what's new in 2025 (Build 2025.45.250910), see our release notes.

TeeChart Pro VCL/FMX is licensed per developer and includes a one year subscription for minor and major updates plus access to technical support. Priority support is also available. See our TeeChart Pro VCL/FMX licensing page for full details.

Learn more on our TeeChart Pro VCL/FMX product page.