Power Query makes it easy to split one column into multiple columns. This is useful when your data is stored in one field, such as full names, addresses or product codes.

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Encountering the “Excel found unreadable content” error can be quite challenging, especially when you’re working on an important project. This issue typically arises due to corrupted files or incompatible file formats.

To resolve this problem and successfully open your Excel file, follow the steps below:

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If you find yourself doing the same cleaning steps every time a file arrives, Power Query can probably do that work for you with a single Refresh click.

In this article we will take a small “dirty” dataset and walk through the classic way of cleaning it with formulas, then show how to rebuild the same logic in Power Query.

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Excel now gives you three very different ways to solve most data problems: classic formulas, Power Query and Copilot.

The trick is not to pick a favorite and use it for everything, but to know where each one shines so you do not overcomplicate simple tasks or under‑engineer important ones.

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If you have Copilot in Excel and you are still mostly typing formulas by hand, you are leaving a lot of value on the table.

In this guide I will show you a realistic flow where we start with a messy data dump and use a handful of natural‑language prompts to clean it, analyze it and build a quick chart.

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In this tutorial we will build a small but useful dashboard: you choose a region from a drop‑down and Excel updates a table and chart automatically.

We will use three modern tools together: FILTER for subsetting data, SORT for ordering it and XLOOKUP for pulling a few summary metrics into neat KPI cards.

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Dynamic arrays are one of those features that quietly change how you work in Excel, especially if you spend a lot of time filtering and sorting data by hand.

Instead of copying formulas down a column, you enter a single formula and Excel spills the results into as many cells as needed.
In this tutorial we will walk through three core dynamic array functions: FILTER, SORT and UNIQUE, using a simple sales table as an example.

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For power users who need to automate workflows, extend Excel’s capabilities and integrate custom tools, mastering Excel add-ins (.xlam and .xla) is non-negotiable. Unlike basic macros, add-ins are seamless, scalable and security-aware – perfect for enterprise data pipelines, custom analytics and complex automation. This guide cuts through the noise with exact steps, pro tips and real-world scenarios you’ll use daily.

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Excel’s conditional formatting is a powerhouse for making data meaningful. While color scales and data bars are great, icon sets are the secret weapon for turning complex spreadsheets into instantly understandable visual stories. Instead of relying on text labels or color, icon sets use small, intuitive symbols (like arrows, traffic lights or stars) to instantly communicate rankings, trends, or categories – all without adding extra text or complexity.

Imagine grading students, tracking sales performance, or identifying high-risk loans. With icon sets, you can instantly see who’s excelling, lagging, or in the middle – without scrolling through rows of numbers. This is the magic of visual data storytelling.

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