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Discover how to simplify data extraction from multiple Excel files and worksheets in Matlab with effective looping techniques.
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This video is based on the question https://stackoverflow.com/q/72048509/ asked by the user 'Lisa Mills' ( https://stackoverflow.com/u/6365208/ ) and on the answer https://stackoverflow.com/a/72054176/ provided by the user 'Asder Knaster' ( https://stackoverflow.com/u/18745148/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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Efficiently Looping Through Multiple Excel Files and Worksheets Using Matlab

When it comes to data analysis, extracting data from multiple sources can be a daunting task, especially if you are relying on a programming environment like Matlab. If you have numerous Excel files with the same structure and need to loop through different worksheets, you might find yourself wondering, "How can I efficiently automate this process?" In this post, we'll walk through the steps to iteratively access both multiple Excel files and their respective worksheets, allowing you to streamline your data extraction method.

Understanding the Problem

You've got about 12 Excel files, each containing around 125 worksheets. Each file follows the same structure, and your goal is to loop through all these files and their worksheets to gather data efficiently. Instead of repeating code for each sheet and file, utilizing loops is the way to go.

The Solution

In your existing code, you've laid out a reasonable foundation for working with sheets but now need to adapt it for multiple files. Let’s break down the code needed to achieve this.

Step 1: Load File Names

You start by ensuring that you’re working in the right directory and accessing all relevant Excel files. The command dir('*raw.xlsx') helps you get a list of all files matching a specified pattern.

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Step 2: Extract Sheet Names

Use the xlsfinfo function to obtain all the sheet names from one of your files. For our example purposes, you might take the first file.

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Step 3: Loop Through Files and Sheets

We will use a nested loop: the outer loop will iterate through each file, while the inner loop will go through each worksheet. Notice how we replace the static filename with the dynamic filename from the fnames list.

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Highlights of Key Changes

Dynamic referencing: Replaced the hard-coded file name 'Test_raw.xlsx' with fnames(i).name which makes the code generic for any file in the directory.

Structured allocation: Initialized final_data before entering the loop to ensure efficient memory use.

Handling temporary variables: Clearing working variables with clear before their next iteration helps to avoid confusion and potential data carryover.

Accessing Your Data

Once the code is complete, you'll have a cell array final_data with results from all Excel files. You can access data from, say, the fifth file by simply using:

[[See Video to Reveal this Text or Code Snippet]]

Conclusion

By following these structured looping techniques in Matlab, you can effectively streamline the process of extracting data from multiple Excel files and worksheets. This not only saves time but also reduces the chances of human error and maintains a clean codebase.

If you want to maximize the efficiency of your analysis or encounter any further challenges, don't hesitate to seek help from the community. Happy coding!