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A guide on how to leverage C#'s `JsonConvert` to deserialize JSON data, extract values, and insert them into an Excel worksheet for effective data management.
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How to Use JsonConvert.DeserializeObject in C# to Insert Data into Excel

Working with JSON data in C# can be a daunting task, especially when you want to utilize that data for practical applications like inserting values into an Excel worksheet. In this guide, we will explore how to deserialize JSON responses, extract specific values, and insert those values in a structured manner, ultimately leading to your goal of populating an Excel sheet.

The Challenge: Extracting Values from JSON

Imagine you've made an API call that returns a JSON response with data regarding specific metrics, and now you want to extract these metrics to store them in a list for further processing. Let's consider a sample JSON response:

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In this scenario, your goal is to extract the value of Test1 from each object in the list to populate an Excel worksheet.

The Initial Approach: Deserialization and Looping

First, let’s deserialize the JSON response into C# objects using JsonConvert.DeserializeObject. You would typically start with the following Response classes:

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Next, after deserializing the JSON, you can loop through the records like this:

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This will print all the Test1 values to the console—great, but the primary question is how to save these values in a usable format for Excel.

Updating the List Approach

Initially, you might have created a list that stores the entire Score object. However, this can lead to complications when trying to access the actual Test1 values. Here's where the key change comes in.

Instead of creating a custom Score class, you can directly store float values in a list. This reduces complexity and makes it easier to access the values later. Here’s how to do it:

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Why This Change Matters

Simplicity: Store only the necessary data (the float values).

Ease of Access: Directly accessing a list of floats makes it simpler to loop through the scores later.

Clarity: It improves clarity in what the list contains, avoiding ambiguity around object types.

Final Steps: Inserting into Excel

Now that you have the data structured in a list of floats, the next step would be to insert these values into an Excel worksheet. This can be done using libraries like EPPlus, NPOI, or ClosedXML in C#.

Here’s an abbreviated example using EPPlus:

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

Conclusion

In summary, by using JsonConvert.DeserializeObject in C#, you can efficiently pull specific metrics from a JSON response, store them in a simplified list, and ultimately insert that data into an Excel worksheet. This approach not only enhances data management but also streamlines your workflow when dealing with API responses.

If you're looking for further enhancements, consider implementing error handling and more complex data manipulation to fit your specific use case.

Happy coding!