Exporting data from AG Grid to CSV is a straightforward process that allows you to leverage your data outside the grid environment.
This guide will walk you through the steps necessary to efficiently export your data from AG Grid to a CSV file.
Additionally, you'll explore how Sourcetable lets you analyze your exported data with AI in a simple to use spreadsheet.
AG Grid allows you to export your grid data to a CSV file via an API call. This feature is supported in both the community and enterprise versions of AG Grid. The data exported will mirror what is currently displayed in the grid, including the use of Value Getters.
For users of the enterprise version of AG Grid, data can also be exported to CSV using the right-click context menu on the grid. This option is enabled by default but can be disabled by setting suppressCsvExport = true
in gridOptions.
The exported CSV will contain the same data that appears in the grid, with raw values being used. If the "Use Value Formatter for Export" feature is enabled, cell formatters will also be used in the export. Note that cell styles are not exported.
If row grouping is enabled, all data will be exported regardless of whether groups are open in the UI. The group name format in the CSV will appear as "-> Parent Name -> Child Name". This ensures that the hierarchical structure of the data is preserved in the CSV file.
The default name for the exported CSV file is export.csv
. By default, the column separator is a comma, but this can be customized using the columnSeparator
parameter. Additional customizations like suppressing quotes or adding prepend/append content can also be configured as shown in various examples and documentation.
Keep in mind that CSV files may contain malicious content, leading to CSV Injection vulnerabilities. It is crucial to validate and sanitize the data before exporting it to CSV format to mitigate potential security risks.
To export the data programmatically, use the method api.exportDataAsCsv()
. This method provides a straightforward approach to generating CSV files based on your grid's current data.
Integrating Charts with AG Grid |
AG Grid integrates seamlessly with AG Charts, enabling dynamic and interactive visualizations within data grids. This integration supports creating comprehensive dashboards that combine data tables and charts, making it easier to interpret large datasets visually. Ideal for enterprise applications requiring robust data analysis tools. |
Building Dashboards with AG Grid |
AG Grid facilitates building advanced dashboards by allowing complex data manipulation through pivoting, grouping, and integrated charts. These features help create intuitive user interfaces for managing and analyzing business-critical data efficiently. |
Using AG Grid in Applications |
AG Grid can be embedded into various applications, thanks to its compatibility with multiple frameworks such as Angular and React. It offers advanced customization options for cell rendering and grid behavior, making it suitable for diverse application needs ranging from simple data display to complex data management solutions. |
Implementing Admin Interfaces with AG Grid |
AG Grid's powerful and flexible functionalities, including sorting, filtering, and pagination, make it a perfect tool for developing admin interfaces. Its ability to handle massive datasets ensures smooth performance and responsiveness in administrative environments where data management is crucial. |
Data Modeling and ORM Solutions |
AG Grid's extensibility and speed make it an excellent choice for data modeling and ORM solutions. Its robust handling of large data sets and extensive customization options allow developers to tailor the grid to specific data modeling requirements, enhancing productivity and data accuracy. |
Open Source Project Integration |
AG Grid's open-source nature and community support make it an ideal choice for integration into open-source projects. Its availability as a free Community Edition allows for broad adoption and collaboration, enhancing the capabilities of community-driven software development. |
Enhancing Data Management in Angular Projects |
AG Grid integrates easily with Angular, providing built-in functionalities such as sorting and filtering and extensive customization options. Its virtualization techniques ensure smooth performance, making it a powerful tool for managing large data sets within Angular applications. |
Developing High-Performance Enterprise Applications |
AG Grid is designed for speed and high performance, handling large amounts of data efficiently. It is highly customizable and extensible, making it suitable for developing sophisticated enterprise applications that require robust data handling and user-friendly interfaces. |
Sourcetable provides a compelling alternative to AG Grid by integrating data collection from multiple sources into one spreadsheet interface. This unique feature allows for real-time data retrieval and manipulation, offering a seamless user experience.
Unlike AG Grid, Sourcetable simplifies the process of querying databases directly within the spreadsheet interface. This functionality saves time and enhances productivity by eliminating the need to switch between different platforms for data analysis.
Sourcetable’s ability to handle various data sources in a single interface is unmatched by AG Grid. This advantage empowers users to manage and analyze their data more efficiently, leading to more informed decision-making.
For businesses looking for a powerful yet intuitive data management tool, Sourcetable’s real-time data handling and spreadsheet-like interface make it the superior choice over AG Grid.
Data from AG Grid can be exported to CSV using an API call or the right-click context menu. Note that using the context menu for exporting to CSV is only available in the Enterprise version.
Yes, the CSV export feature is enabled by default in AG Grid.
Yes, CSV export can be disabled by setting suppressCsvExport to true in gridOptions.
Yes, the Use Value Formatter for Export feature is used to format cell values for export by default.
The raw values are used, and Value Getters are employed in the CSV export.
Exporting data from AG Grid to CSV is a straightforward process, enabling efficient data storage and transfer. By following the steps outlined, you can ensure your data is accurately exported and easily accessible for further use.
Properly handling your exported CSV files will streamline your data analysis and reporting tasks. This process facilitates seamless integration with various data processing tools.
Sign up for Sourcetable to analyze your exported CSV data with AI in a simple to use spreadsheet.