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How to Use React Data Grid to Handle Large Datasets

In the ever-evolving landscape of web development, efficiently handling large datasets while maintaining a seamless user experience is crucial. This is where the React Data Grid shines.

As one of React’s most powerful tools for managing and presenting data, the React Data Grid offers developers a robust solution to overcome challenges associated with organizing, filtering, sorting, and editing data within React applications.

Developers often face challenges when working with tabular data, from sluggish performance to limited functionality in traditional HTML tables.

But why is React Data Grid important to developers? It’s simple – it empowers them to create responsive, interactive, and performant data grids that enhance user experience and streamline data management workflows.

Whether you’re building a dashboard, a reporting tool, or an enterprise application, the React Data Grid equips you with the tools you need to succeed.

Throughout this guide, we’ll dive deep into the React Data Grid, exploring its features, understanding its inner workings, and learning how to leverage its full potential. Starting from setting up a React application to rendering data in the grid, we’ll cover everything you need to know to master this essential tool.

What is a Data Grid?

A data grid is an interactive tabular interface designed to empower users with robust data management capabilities. It serves as a crucial user interface element for displaying and manipulating tabular data, offering essential features such as sorting, filtering, paging, and editing.

These functionalities enhance the user experience, particularly when working with large datasets, by providing intuitive controls for seamless interaction and exploration.

Data-Grid Anatomy

Grasping the anatomy of a data grid is crucial for effectively leveraging its features and tailoring its behavior to fulfill particular needs.

As a vital user interface component, a data grid is designed to display and manipulate tabular data, offering a range of indispensable functionalities. These include sorting, filtering, paging, and editing, which significantly enhance the user experience, especially when working with extensive datasets.

By providing intuitive controls, data grids enable seamless interaction and exploration of data, making it easier for users to navigate through large amounts of information.

Gaining a deeper understanding of the various components and structures of a data grid allows developers to optimize its use and customize it according to the specific demands of their projects.

Data Grid Anatomy Explanation Table

1Column GroupA column group is a collection of related columns array within a data grid that are grouped for organizational or functional purposes. For example, columns representing similar data categories, such as “Basic Information” or “Financial Metrics,” may be grouped to improve readability and navigation within the grid.
2Single ColumnA single column refers to an individual column within a data grid. Each column typically represents a specific attribute or field of the dataset, such as “Name,” “Age,” or “Sales Revenue.”
3Single RowA single row element refers to a horizontal row of cells within the data grid, containing data values for each column. Each rows-array typically represents a single record or entry in the dataset, such as a customer, product, or transaction.
4Column HeadersColumn headers are the topmost row of the data grid, containing the titles or labels for each column. Column headers provide context for the data displayed in the grid and often allow users to interact with the grid, such as sorting or filtering data based on column values.
5Column FiltersColumn filters are interactive controls associated with individual columns, allowing users to narrow down the dataset by specifying criteria that the data must meet. Users can apply filters to individual columns to display only the data that matches the specified conditions, helping to refine and focus their analysis.
6Row GroupA row group is a collection of related rows within a data grid that are grouped based on common characteristics or attributes. Row groups can be used to organize and summarize data, such as grouping sales transactions by region or grouping employees by department.
7CellA cell is the intersection point of a row and a column within the data grid, containing a single data value. Each cell represents a specific attribute or field of the dataset for a particular record. Users can interact with cells to view, edit, or manipulate data values within the grid.

Table Explanation

In summary, delving into the anatomy of a data grid is a fundamental step in harnessing its full potential and adapting its behavior to meet the unique requirements of different applications. By doing so, developers can ensure a smooth and efficient user experience while working with tabular data.

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What is the React Data Grid Component?

The React Data Grid component, crafted by Adazzle, stands out as a versatile and feature-packed solution tailored for constructing dynamic data grids within React applications.

It boasts an extensive array of capabilities aimed at simplifying the organization, display, and manipulation of tabular data. With its adaptability and robust functionality, the React Data Grid empowers developers to create engaging user experiences that captivate and delight users.

React Data Grid Features

Below is the React Data Grid features table:

Data Grid FilteringEnables users to filter data based on specific criteria, facilitating quick and precise data search.
GlobalizationSupports displaying data in multiple languages and formats, catering to diverse user audiences.
Column ResizingAllows users to dynamically adjust the width of columns to optimize the layout of the data grid.
Column Locking and ReorderingProvides options to lock columns in place or change their order to customize the display.
Custom RendererOffers flexibility in customizing the appearance and behavior of cells within the data grid.
Row SelectionEnables users to select single or multiple rows for further actions or analysis.
Detail RowsSupports displaying additional details or nested data for each row within the data grid.
Data Grid EditingFacilitates inline editing of cell contents, allowing users to modify data directly within the grid.
Data Grid GroupingAllows users to group data based on specific column values, creating a hierarchical view.
Export to PDF and ExcelProvides functionality to export data from React Data Grid to PDF and Excel formats.
Table SortingEnables users to sort data based on one or more columns, facilitating data exploration.
Data Grid PagingImplements pagination to display large datasets in manageable chunks, improving performance.
Data Grid FilteringOffers advanced filtering options to refine data based on complex conditions.

These features collectively contribute to the versatility and effectiveness of the React Data Grid component, making it a powerful tool for building interactive and data-rich applications.

You can find a comprehensive list of available features in the official documentation.

React Data Grid Component Props

The React Data Grid component offers a wide range of props to customize its behavior and appearance according to an application’s requirements.

Below are some of the commonly used props for the React Data Grid component:

1. columns:

An array of objects defining the columns of the data grid. Each column object typically contains properties like key, name, width, and editable, etc.

const columns = [ { key: 'id', name: 'ID', width: 100 }, { key: 'name', name: 'Name', width: 200 }, { key: 'age', name: 'Age', width: 100 }, ];

2. rows:

An array of objects representing the data to be displayed in the data grid. Each row object corresponds to a row in the grid and contains properties matching the keys defined in the columns prop.

const rows = [   { id: 1, name: 'John Doe', age: 30 },   { id: 2, name: 'Jane Smith', age: 25 },   // Add more data as needed ];

3. rowGetter:

A function that retrieves a row’s data based on its index. This prop is useful when handling large datasets and enables the lazy loading of rows.

const rowGetter = (index) => rows[index];

4. rowHeight:

The height of each row in pixels. This prop allows you to customize the height of rows based on your design requirements.

const rowHeight = 40;

5. minHeight:

The minimum height of the data grid container. This prop ensures that the grid maintains a minimum height, preventing it from collapsing when there is no data.

const minHeight = 200;

6. enableCellSelect:

A boolean value indicating whether cell selection is enabled in the grid. When set to true, users can click on cells to select them.

const enableCellSelect = true;

7. onGridSort:

A callback function triggered when a column is sorted. This prop allows you to handle sorting logic and update the grid’s data accordingly.

const handleGridSort = (columnKey, direction) => {   // Sorting logic here   };

8. onGridRowsUpdated:

A callback function invoked when a cell’s value is updated. It provides updated information, allowing you to handle data manipulation actions like editing and saving.

const handleGridRowsUpdated = ({ fromRow, toRow, updated }) => {   // Data manipulation logic here };

9. onRowClick:

A callback function called when a row is clicked. It provides the clicked row’s data, enabling you to perform actions such as navigation or displaying additional details.

const handleRowClick = (row) => {   // Handle row click action };

10. rowSelection:

An object specifying the row elements’ selection mode and configuration. Options include single, multiple, checkbox, etc., allowing you to customize how rows are selected.

const rowSelection = {   type: 'checkbox',   selectBy: {     isSelectedKey: 'isSelected',   }, };

These are just a few of the props available for the React Data Grid component. Depending on your application’s requirements, you may want to utilize additional props to customize the grid’s behavior and appearance further.

Setting up React (NextJS) Application

Next.js is a popular open-source React framework that enables developers to build server-rendered, static, and dynamic web applications with ease. Next.js provides a powerful set of features and optimizations to streamline the development process and improve performance.

Setting up a React application using Next.js is straightforward. Here’s a step-by-step guide to get you started:

Step 1:

Install Node.js and npm: Before you begin, make sure you have Node.js installed on your system. You can download and install it from the official Node.js website.

Step 2:

Create a New Next.js Project: Open your terminal or command prompt and run the following command to create a new Next.js project:

npx create-next-app my-next-app

Replace my-next-app with the desired name for your project.

Step 3:

Navigate to the Project Directory: Once the project is created, navigate to the project directory:

cd my-next-app

Step 4:

Run the Development Server: Start the development server by running the following command:

npm run dev

This command will start the Next.js development server, and you can access your application at http://localhost:3000 in your web browser.

Step 5:

Start Coding: You can now start coding your React components and pages within the pages directory of your project.

Next.js uses file-based routing, so each .js or .jsx file within the pages directory corresponds to a route in your application.

Step 6:

Install Additional Packages: Depending on your project requirements, you may need to install additional npm packages. You can install packages using the following command:

npm install package-name

Step 7:

Build and Deploy: Once you have developed your application, you can build it for production using the following command:

npm run build

This command generates an optimized production build of your Next.js application.

Step 8:

Deploy Your Application: You can deploy your Next.js application to various hosting platforms like Vercel, Netlify, or your server. Refer to the documentation of your chosen hosting platform for deployment instructions.

That’s it! You’ve successfully set up a Next.js application. Now you can start building your React components and pages to create your desired web application.

Installing React Data Grid

To install the React Data Grid component in your project, you can use npm or yarn. Open your terminal and run one of the following commands:

Using npm:

npm install react-data-grid

Using yarn:

yarn add react-data-grid

Once the installation is complete, you can import and use the React Data Grid component in your React application.

Rendering Data in React Data Grid

Rendering data in the React Data Grid is straightforward. You need to define the columns and rows of your data grid as explained earlier in this article and pass them as props to the DataGrid component.

import React from 'react';
import ReactDOM from 'react-dom';
import { DataGrid } from 'react-data-grid';

const columns = [
  { key: 'id', name: 'ID' },
  { key: 'name', name: 'Name' },
  { key: 'age', name: 'Age' },

const rows = [
  { id: 1, name: 'John Doe', age: 30 },
  { id: 2, name: 'Jane Smith', age: 25 },
  // Add more rows as needed

const MyDataGrid = () => {
  return <DataGrid columns={columns} rows={rows} />;

ReactDOM.render(<MyDataGrid />, document.getElementById('root'));


The above code will produce the following output.

Frequently Asked Questions on React Data Grid

Q1: What is the difference between a React data grid and a data table?

Ans: While both React data grids and data tables are used to display tabular data, data grids typically offer more advanced features such as sorting, filtering, pagination, and inline editing, making them suitable for handling large datasets and complex interactions.

Q2: Does React have a grid system?

Ans: React itself doesn’t provide a built-in grid system, but there are several third-party libraries available, such as React-Bootstrap and Material-UI, that offer grid components for layout management.

Q3: Is the React data grid free?

Ans: Yes, the React Data Grid component is open-source and free to use, licensed under the MIT License.

Final Thought on React Data Grid

In this guide, we explored the significance of React Data Grids in web development, emphasizing their ability to efficiently manage and present data in React applications. These grids offer powerful features like sorting, filtering, and editing, enhancing user experience with large datasets.

Understanding the components of a data grid, such as columns, rows, and cells, is crucial for effective utilization. We also highlighted the React Data Grid’s importance, versatility, and adaptability in building responsive and interactive interfaces.

Covering a range of features like filtering, sorting, and pagination, we provided insights into setting up React applications and installing the React Data Grid component. Additionally, we discussed rendering data and addressed common questions about React Data Grids.

In essence, this guide equips developers with the knowledge and tools needed to leverage React Data Grids effectively, enabling them to create dynamic and user-friendly data-driven applications in React.

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Ayodele Samuel Adebayo

Ayodele Samuel Adebayo