Data cleaning often requires finding and replacing values across thousands of rows. Power Query makes this task efficient and repeatable through the Replace Values feature and advanced M language techniques. Whether you need simple find-and-replace operations, conditional replacements, or bulk updates from lookup tables, Power Query delivers powerful tools to transform your data accurately and consistently.

This comprehensive guide covers all methods to replace values in Power Query, from basic find-and-replace to advanced conditional replacements using M code.

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Custom columns are one of the most powerful features in Power Query, enabling you to create new data fields based on calculations, conditions, and transformations of existing columns. Whether you need to combine fields, categorize data, calculate metrics, or manipulate text, custom columns provide the flexibility to shape your data exactly as needed.

This comprehensive guide covers everything from simple formulas to advanced M language techniques, with practical examples for every common scenario.

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Effective sales management requires more than intuition and manual tracking. Organizations that leverage data-driven dashboards consistently outperform competitors in revenue growth, customer retention, and team productivity. A well-designed sales dashboard KPI template provides real-time visibility into your sales pipeline, team performance, and revenue trajectory, enabling faster decision-making and strategic course corrections.

This comprehensive guide walks you through building a sales dashboard KPI template that monitors critical metrics, tracks performance against targets, and delivers actionable insights for optimizing your sales operations.

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Pay-per-click advertising drives significant traffic and revenue for businesses, but managing PPC data effectively requires robust tracking systems. An Excel PPC dashboard serves as a powerful, customizable solution for monitoring key performance indicators, analyzing keyword performance, and optimizing campaign ROI. Rather than toggling between multiple platforms, marketers can consolidate all critical metrics in one centralized spreadsheet.

This comprehensive guide walks you through building an Excel PPC dashboard that tracks cost per click (CPC), return on ad spend (ROAS), and other essential metrics for data-driven decision-making.

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Reversing the count in Excel, or counting backwards, can be a handy technique for various tasks, such as creating reverse ordered lists, countdowns, or simply numbering rows in the opposite direction. This “backward magic” can be achieved through several methods, depending on your specific needs. Here are a few approaches to create a reverse count in Excel:

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Performing polynomial regression in Excel involves fitting a polynomial equation to a set of data points. Unlike linear regression, which is straight-line fitting, polynomial regression fits a curve, making it suitable for more complex relationships between variables. Here’s how you can perform polynomial regression in Excel:

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Pivot points and Fibonacci levels are two popular technical analysis tools that traders use to identify potential support and resistance levels in the market.

In this tutorial, we show you how to calculate these indicators in Excel using some simple formulas.

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Interpolation is the process of estimating values within the range of available data. It is a fundamental tool in data analysis and visualization, and it can be performed effortlessly in Excel using various techniques.

Unlike extrapolation, which estimates values beyond the available data range, interpolation focuses on providing accurate estimates within the known data boundaries.

We will explore the methods and steps to interpolate in Excel effectively. We will start by discussing the different types of interpolation, and then we will provide step-by-step instructions on how to perform linear and polynomial interpolation. Finally, we will discuss the precision of interpolation and its use cases.

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Survival analysis is a statistical technique used to analyze the time until an event of interest occurs.

While Excel may not have dedicated survival analysis functions, you can perform basic survival analysis by using its features. Below is a guide on how to conduct survival analysis in Excel:

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The profit margin formula in Excel is a simple calculation that helps you determine the percentage of profit generated from sales revenue. It’s a valuable financial metric for assessing a company’s profitability. The formula for calculating profit margin is:

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