Columns require extra geometry so can be difficult to optimise. However, with SciChart, you can process big datasets with tens of millions of points, or visualize data in real-time at 60 frames per second.
View our SciChart.js Getting Started guide to:
- Code a chart with NPM and Webpack and step-by-step code samples.
- Compile our examples app and get access to more than 80 chart examples, including customizable stacked column charts.
- Build your first charting app with our tutorials.
Compile our charting app with NPM install. From there, you can access all our demos. They are easy to follow, and developers can access our world-class support whenever they need it. For more complex functionality, we have tutorials and stacked column documentation examples.
We provide boilerplates for the most popular frameworks, including Angular, Vue, Blazor, React, Electron and Next.js.
With high-performance data visualization capabilities, users are able to view and interact with tens of millions of data points without experiencing performance degradation.
Case Uses & Industries
Vertical stacked column charts are used to show relationships between individual values and the total sum. The side-by-side format gives you the option to display more data comparisons in a single graph.
This type of graph can be used by any sector. An example use case would be to display retail revenue for a particular period of time, which compares several categorical variables, such as store location and department.
We’re proud to support thousands of developers and innovative organizations across the world. Our charts are used in web applications and data dashboards for the following sectors: oil and gas, science, medicine, engineering, finance, trading and more.
- World’s highest rated chart library
- Supports tens of millions of data points
- Fast rendering for real-time data feeds
- Supports customizable, interactive features
- World class support for developers
- Winner of the Queen’s Award for Innovation
- More cost-effective than open-source platforms for big data projects
Frequently Asked Questions
Bar chart vs stacked column chart – which should I choose for my data visualization project?
The stacked column chart offers a multi-purpose visual that can help the user see and compare more data in an accessible way. A bar chart is a simpler version that simply compares a single variable against a numeric value. When stacking, you can increase the number of category variables to two. A stacked bar chart is a more suitable choice when looking to visualize the relative decomposition of each bar.
What customizations are available?
With our customization API, you can benefit from a wide range of customizations, which include custom color maps, changing spacing between bars and adding lines between columns.
Who can my developers contact for support?
We operate 5-star rated support for developers.
- If you have any questions for sales, licensing or purchasing, please contact us or visit our sales support.
- Customers can use our active forum at www.scichart.com/questions.
How do I pay for a licence?
Payment options include credit card, wire-transfer or purchase orders. Browse our full list of products to get your SciChart.js licence today.