Exporting State Array to Excel using ExcelJS

ExcelJS is a powerful library for creating and manipulating Excel files in JavaScript. Here's how you can export data from a React state array to an Excel file:

How It Works

The solution consists of two main components:

1. Main Page Component: Displays sample data in a table and includes the Excel export functionality.
2. ExcelExporter Component: A reusable component that handles the Excel export logic.

Key Implementation Details:

1. Setting Up ExcelJS:

   • ExcelJS is used to create workbooks, worksheets, and format data
   • The file-saver library is used to trigger the download

2. The Export Process:

   • Create a new workbook and worksheet
   • Extract headers from the data
   • Add and style the header row
   • Add data rows with appropriate formatting for different data types
   • Auto-size columns for better readability
   • Generate and download the Excel file

3. Handling Different Data Types:

   • Dates are formatted as localized date strings
   • Booleans are converted to "Yes"/"No" for better readability
   • Headers are converted from camelCase to Title Case

4. UI Feedback:

   • The export button shows a loading state during export
   • Error handling is implemented to catch and log any issues

Installation

To use this in your project, you'll need to install the required dependencies:

Usage

You can use the ExcelExporter component with any array of objects:

The component is generic and will work with any array of objects, automatically using the object keys as column headers.

I'll fix the import issue with the file-saver library. The error occurs because we're trying to import saveAs as a named export, but it should be imported differently.

Why This Fix Works

The error occurred because we were trying to import saveAs as a named export from the file-saver module, but the module doesn't export it that way. Instead, file-saver exports a default object that contains the saveAs method.

The correct way to use it is:

1. Import the default export: import FileSaver from 'file-saver'
2. Use the saveAs method from that object: FileSaver.saveAs(blob, filename)

This approach is consistent with the file-saver documentation and should resolve the error you were experiencing.