Angular Pivot Table with Google Charts
WebDataRocks Pivot Grid for Angular seamlessly integrates with Google Charts, allowing you to create dynamic dashboards. Using a ready-to-use wrapper, you can quickly set up your dashboard, enabling you to slice and dice data, drill down for detailed views, and explore your data without limitations.
Whether you’re analyzing sales performance or tracking key metrics, integration with Google charts will only make your insights more visible.
Company Revenue
Effortless Data Exploration
Customize rows, columns, and measures to view your data from various perspectives. Whether analyzing sales trends or customer behavior, WebDataRocks provides a powerful tool for deep data exploration.
Advanced Drill-Down
Dive into different levels of detail to uncover trends and patterns, gaining a thorough understanding of your data.
Data-Driven Decisions
With clear, insightful visualizations, WebDataRocks equips decision-makers with the information needed to drive business growth.
Easy integration
WebDataRocks has a special connector for Google Charts that handles data pre-processing for specific types of charts, helping you easily integrate the pivot table with a charting library. However, our web reporting tool can work perfectly with any chart that you decide to use in your project. Please check the detailed guide on how to integrate the pivot table with any charting library.
FAQ
Can WebDataRocks be used with charting libraries other than Google Charts?
Absolutely! WebDataRocks can be integrated with any charting library. We’ve created ready-to-use connectors for several popular libraries, including integration with amCharts, Google Charts, and FusionCharts.
Do you have any examples of using WebdataRocks with library Google Charts?
Yes! You can find practical examples of integrating WebDataRocks with Google Charts on our blog. Here are a few articles to help you get started:
<ul> <li>How to build a real-time dashboard with WebDataRocks & Google Charts. </li> <li> How to use WebDataRocks Pivot Table with Google Charts. </li></ul>