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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 dampen fluctuations. It is particularly useful for making short-term forecasts when your data lacks a clear trend or seasonal pattern.

Excel provides several methods for exponential smoothing, primarily through the FORECAST.ETS function in recent versions and the Data Analysis Toolpak in older versions.

Here’s how you can apply exponential smoothing in Excel without using lists.

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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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