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Data aggregation functionality in charts refers to the process of combining and summarizing raw data to provide a more concise and understandable representation. This technique involves collecting and grouping data points based on specific criteria, such as time intervals, categories, or geographic regions, and then calculating summary statistics, such as averages, totals, or percentages. The aggregated data is then used to create charts and graphs that offer a comprehensive overview of trends, patterns, or comparisons within the dataset. This approach helps in simplifying complex datasets and makes them more accessible for analysis, allowing decision-makers to derive meaningful insights and draw informed conclusions from the visual representation of aggregated information.
Several React chart controls support data aggregation including:
For an in-depth analysis of features and price, visit our React Chart Controls comparison.

Area charts combine the strengths of line and bar charts, typically depicting how quantitative data changes over time. The area beneath the lines is shaded, emphasizing trends, comparisons between multiple data series, and the magnitude of change within each series. Ideal for showcasing cumulative totals and proportions, area charts excel in revealing trends and relationships within your data.
Several Blazor chart controls offer area charts including:
For an in-depth analysis of features and price, visit our Blazor chart controls comparison.

Scatter and bubble charts are used to display data points on a two-dimensional graph. While scatter charts use dots to represent data points, bubble charts add an additional dimension by varying the dot size, often representing volume or intensity. These charts are useful for showing relationships between variables and for identifying patterns or trends in data.
Several Angular chart controls offer scatter and bubble charts including:
For an in-depth analysis of features and price, visit our Angular chart controls comparison.

LightningChart JS Trader is a comprehensive charting solution specifically designed for building high-performance financial and trading applications in JavaScript. It equips developers with a rich set of financial charts, over 100 technical indicators for in-depth analysis, and 30+ drawing tools for visual annotations. Additionally, a fully featured datagrid with sparkline support allows for organized data management and display. This combination empowers developers to create interactive and visually engaging trading dashboards, charting tools, and other financial applications with high performance and extensive customization options.
LightningChart JS Trader features include:
LightningChart JS Trader is licensed per developer, per application, per year. The annual license includes technical support and product updates for one year. To continue using the software you will need to renew your license each year. There are three editions to choose from; Basic, Plus and Ultimate which offer different levels of functionality and distribution rights. See our LightningChart JS Trader Licensing page for full details.
For more information, visit our LightningChart JS Trader product page.

Box plots, also known as box-and-whisker plots, are used to display the distribution of a dataset. They show the median, quartiles, and extremes of the data, providing a quick visual summary of the data's central tendency and variability. This makes them particularly useful for statistical analysis and comparing data across categories.
Several Blazor chart controls offer Box plots including:
For an in-depth analysis of features and price, visit our Blazor chart controls comparison.