Summary  
This chapter demonstrates how to programmatically apply conditional formatting rules to a data table, highlighting values based on dynamic criteria such as percentiles, fixed thresholds, and statistical measures like standard deviation.  

General domain of usage  
Data analysis


Conditional formatting helps you highlight patterns directly inside your table.

Instead of reading numbers, you can quickly spot trends, outliers, and problem areas.




Start with a simple rule to understand how it works.

Ask Copilot to apply formatting to a column based on value distribution. This shows how it can highlight different parts of your data automatically.

Apply Basic Conditional Formatting


Next, apply rules that have real meaning.

For example, highlight low profit margins to identify weak performance. This helps you quickly see where attention is needed.

Highlight Important Values


You can also add visual elements like data bars.

These show value differences directly in the cells and make comparisons easier without reading exact numbers.

Use Visual Indicators


For deeper analysis, ask Copilot to highlight values above a certain threshold, such as those significantly higher than the average.

Copilot calculates the required values and applies a rule that updates automatically as data changes.

Detect Outliers

Discover how to use Excel with Copilot to solve real business problems. Explore practical workflows that turn messy data into structured, reliable systems. Learn how to build models, automate calculations, and generate insights without memorizing formulas. Understand how to guide Copilot, validate its output, and keep full control over your logic.

Explore the core setup and habits for working with Copilot in Excel. You configure your environment, learn how to write clear prompts, and apply safe workflows before using Copilot on real data. You focus on testing, verifying results, and protecting your files. These skills help you avoid mistakes and use Copilot with confidence further.

Focus on turning messy, inconsistent datasets into clean and usable data. You standardize headers, split combined fields, fix mixed formats, and remove duplicates using Copilot. Consider real-world scenarios and apply structured workflows to clean data safely.

Discover using Copilot to work with clean data and turn it into insights. You extract values, connect multiple datasets, handle errors, and build dynamic summaries. Learn to describe tasks in plain language while Copilot generates and applies the formulas.

Learn how to present data in a clear and interactive way. Create PivotTables, add slicers, build charts, and apply conditional formatting to highlight key insights. Combine all elements into a structured dashboard and use Copilot to support analysis, formatting, and presentation. 

Build a forecasting model using assumptions, pricing scenarios, and 12-month projections. Test different outcomes, guide Copilot through complex logic, and turn your analysis into a clear, decision-ready recommendation.

Turn your work into a reusable, product-like spreadsheet. Clean raw data, combine multiple sources into a single system, build automated reports, and package everything into a polished template with instructions that anyone can use.

Conditional Formatting for Copilot