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Copilot in Excel helps you do more with your data by generating formula column suggestions, showing insights in charts and PivotTables, and highlighting interesting data.
Tip For more great ideas on using Copilot in Excel, check out the Excel blog at http://aka.ms/ExcelCopilotBlog.
Open Excel.
Open a workbook stored on OneDrive or SharePoint.
Important Your data needs to be formatted in specific ways (see Format data for Copilot in Excel).
Select Copilot on the ribbon to open the chat pane or select a cell, then select the Copilot icon next to it.
​​​​​​​Enter your prompts (or select a prompt if you selected the icon next to a cell), then start working with Copilot.
Here are some samples to get you started:
• "Create a bar graph showing the sales growth between Q2 and Q3."
• "Bold the top 3 values in Annual Sales."
​​​​​​ • "Add a new column showing the percentage difference between column A and column C."Note Accessing Copilot from the icon next to a cell not only allows a better flow for the work you're doing, but it helps you discover prompt options so you can gain expertise quickly. The prompts you see may vary.
Explore more Copilot prompts.
Prompt engineering for Copilot Chat - GitHub Docs
Follow the tips in this article to write prompts that generate better responses from Copilot. When writing a prompt for Copilot, first give Copilot a broad description of the goal or scenario. Then list any specific requirements. For example: Write a function that tells me if a number is prime.
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GitHub Copilot is an AI-powered code completion tool developed by GitHub in collaboration with OpenAI. It acts as a coding assistant, capable of suggesting code snippets, entire functions, and even documentation based on natural language prompts and the code context within your editor12.
Core Mechanism
GitHub Copilot leverages a machine learning model called Codex, which is a descendant of OpenAI's GPT-3 model. Codex has been trained on a vast amount of publicly available code from GitHub repositories, as well as other sources. This extensive training allows Copilot to understand and generate code in various programming languages and frameworks2.
When you start typing in your IDE, Copilot analyzes the context of your code, including the current file, other files in the project, and any comments or documentation. Based on this context, it generates relevant code suggestions. These suggestions can be as simple as completing a single line of code or as complex as generating an entire function or class1.
Prompt engineering for Copilot Chat - Visual Studio Code
Optimize your development experience with GitHub Copilot in VS Code with best practices for crafting chat prompts and providing context.
- Software Version: 1.98
How to write better prompts for GitHub Copilot
Getting started with prompts for Copilot Chat - GitHub Docs
To give Copilot the correct context, try some of these strategies: Highlight relevant lines of code. Use chat variables like #selection, #file, #editor, #codebase, or #git. Use the @workspace chat …
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