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How to parse json in Excel

JSON (JavaScript Object Notation) is a popular data format that is widely used for exchanging and storing information on the web. It is easy to read and write, and can represent complex data structures such as arrays, objects, and nested values. However, if you want to analyze or manipulate JSON data in Excel, you need to convert it into a tabular format that Excel can understand. Fortunately, Excel has a built-in feature that allows you to import and parse JSON files with just a few clicks.

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Creating a Dynamic Pricing Calculator in Excel

Setting the right prices for your products or services is crucial for business success. However, manually calculating prices can be time-consuming and error-prone. To simplify this process, you can create a dynamic pricing calculator in Microsoft Excel.

We will take you through the steps to build a versatile pricing calculator that can handle various pricing strategies and scenarios.

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Excel Point and Click Method: Simplifying Data Entry and Calculation

While many are familiar with Excel’s core functionalities, one often underutilized feature is the “point and click” method. This approach streamlines the process of entering cell references into formulas, offering numerous advantages, including reduced errors, saved time, and more meaningful data.

In this article, we will explore how to use the point and click method in Excel to enhance your spreadsheet experience.

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How to Import CSV Files with More Than 65536 Rows in Excel

In Excel versions prior to 2007, the maximum number of rows per worksheet is 65536, and even in newer versions, this limit is expanded to 1048576 rows. So what do you do when you need to work with a CSV file that exceeds these row limits?

Fortunately, there are several solutions available to tackle this issue, depending on your needs and preferences. In this article, we will explore these solutions and guide you through the process of importing large CSV files into Excel.

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How to Calculate the Variance of a Frequency Distribution in Excel

Frequency data, in simple terms, records how often specific values or categories appear in a dataset. For instance, it could show how many students scored within certain test score ranges or how many cars were sold by different brands in a month. It’s important for understanding the distribution of values in your dataset.

To calculate the variance of frequency data, you’ll use a formula that’s a bit different from the standard one. The formula for variance of a frequency distribution looks like this:

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