Connect ChatGPT and Excel! Explaining what you can do, how to collaborate, and examples of use

How to streamline Excel work and achieve advanced data analysis with ChatGPT

In this article, we will introduce new possibilities by linking OpenAI's language model, ChatGPT, and Excel. ChatGPT supports a wide range of Excel tasks, including functions, graphing, data analysis, and VBA macro generation. We will introduce techniques that will be useful for solving a variety of problems, from experienced users to beginners.

Click here for more information on OpenAI's latest AI agent, OpenAI Deep Research ⬇️ [ChatGPT] What is OpenAI Deep Research? A thorough explanation of how to use it and the fee structure!

table of contents

1. How to connect ChatGPT with Excel
2. Using ChatGPT for Excel
3. Utilizing Advanced Data Analysis (formerly known as Code Interpreter)
4. Using Microsoft 365 Copilot (Copilot in Excel)
5. Five effects of ChatGPT and Excel integration
6. summary

How to connect ChatGPT with Excel

There are three ways to link ChatGPT and Excel. Each has different functions and features, so we will explain them below.

Using ChatGPT for Excel

ChatGPT for Excel is an add-in that can be integrated directly into Excel. You can ask questions and instructions on Excel data in natural language, and perform data analysis and processing. Easily do data summary, analysis, and conditional extraction without the use of complex functions or macros. The advantage is that you can receive support without leaving your Excel environment.

Utilizing Advanced Data Analysis (formerly known as Code Interpreter)

The "Advanced Data Analysis" feature of the paid version of ChatGPT 4 is specialized for data analysis and programming. Easily process data, analyze and graph Excel files. Because complex data manipulation is possible without writing code, even non-programmers can perform advanced data analysis.

[Related article] ➡️What is Advanced Data Analysis (Code Interpreter)? Explaining the functions and examples of their use

Using Microsoft 365 Copilot (Copilot in Excel)

Microsoft 365 Copilot (Copilot in Excel) is also available as a way to analyze data in Excel without writing formulas. The appeal of this is that you can intuitively utilize AI in a familiar Excel environment.

Copilot in Excel will bring data analysis to a new era. Anyone can easily ask, analyze, visualize and adjust data. I'll show you how to do this without writing any mathematical formulas.

Five effects of ChatGPT and Excel integration

The integration between ChatGPT and Excel is extremely useful for your business, including data entry automation, data analysis, sales forecasting, and report generation. Below are five effects:

• Proposing functions that suit your work
• Explaining how to use functions
• Graph creation support
• Performing data analysis
• Support for creating VBA macros

Proposing functions that suit your work

If you're unsure which function to use in your Excel work, ChatGPT will suggest the most suitable function based on the type of data and purpose.

Explaining how to use functions

If you understand the steps but don't know the detailed settings or formulas, ChatGPT will advise you on specific solutions and improvements.

Graph creation support

You can create attractive and easy-to-understand graphs by helping you visualize your data and suggest the best type of graph.

Performing data analysis

ChatGPT helps you analyze data statistically and build machine learning models within chat.

Support for creating VBA macros

Even if you have no programming experience, ChatGPT supports the creation and operation of VBA macros, making Excel work more efficient.

summary

The integration between ChatGPT and Excel contributes to the efficiency of various tasks, including data analysis, function explanations, graph creation, and VBA macro creation. Choose the integration method that suits your needs, such as ChatGPT for Excel, Advanced Data Analysis, and Microsoft 365 Copilot. The integration of ChatGPT and Excel is a major factor in improving business efficiency and achieving advanced data processing.

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