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Exponentially Weighted Moving Average (EWMA) in Excel

The Exponentially Weighted Moving Average (EWMA) is a type of moving average that gives more weight to recent data points, making it more responsive to new information. It’s widely used in financial analysis, statistics, and engineering for smoothing data or identifying trends.

Unlike simple moving averages, EWMA applies a decay factor to give exponentially decreasing weight to older data points. Here’s how you can calculate EWMA in Excel:

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Exponential Smoothing in Excel

Exponential Smoothing is a widely-used technique for forecasting time series data by applying a smoothing factor to the series. It’s particularly useful when you want to make short-term forecasts and your data has no clear trend or seasonal pattern. Excel provides a few methods for exponential smoothing, primarily through the use of the FORECAST.ETS function in recent versions or the Data Analysis Toolpak in older versions. Here’s how you can apply Exponential Smoothing in Excel:

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How to Open a YAML File in Excel

To open a YAML file in Microsoft Excel, an intermediate step of converting the YAML file into a format recognizable by Excel, such as CSV (Comma Separated Values), is required. YAML, which stands for YAML Ain’t Markup Language, is a human-readable data serialization standard that is commonly used for configuration files and in applications where data is being stored or transmitted.

However, Excel does not natively support YAML files because it is designed to work with structured data in tabular form, like spreadsheets. Here’s a detailed step-by-step guide to open a YAML file in Excel:

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