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You can now analyze your data much easier by combining Python in Excel and ChatGPT o1. Works for charts and any type of datasets. Just generate the Python code using o1 and run it directly in Excel. How-to guide and template below:

30,249 次观看 • 2 年前 •via X (Twitter)

11 条评论

Paul Couvert 的头像
Paul Couvert2 年前

1. Setup ChatGPT Click on the link below and copy/paste the initial prompt into a ChatGPT o1-preview conversation. Just add the task, paste a sample of your data and fill in the total number of lines. No need to change the instructions or documentation. Link:

Paul Couvert 的头像
Paul Couvert2 年前

2. Run the code in Excel Copy the code generated by o1 and return to Excel. Select an empty cell, then go to Formulas → Insert Python. Paste the code without the “=PY(” and the last “)”. Then execute with Ctrl + Enter. That's it! If it's a chart, you can view it by clicking on the cell again and adding it to the one next to it.

Netwrix 的头像
Netwrix3 年前

Get your hands on this free Powershell ebook and take the first step towards automating your daily tasks! Learn the basics, common administrative tasks, and scheduling scripts with ease. May the PowerShell be with you!

Mushfiq Sajib 的头像
Mushfiq Sajib2 年前

This seamless Python integration in Excel sounds like a great boost for data analysis efficiency!

Paul Couvert 的头像
Paul Couvert2 年前

@mushfiq_sajib It’s a change from long, incomprehensible formulas!

Rasel Hosen 的头像
Rasel Hosen2 年前

Excellent explanation

Paul Couvert 的头像
Paul Couvert2 年前

@arnill_dev Thanks for taking a look, Arnill!

The SamurAI 的头像
The SamurAI2 年前

This is a smart way of working to save more time! Thanks for the guide, Paul!

Paul Couvert 的头像
Paul Couvert2 年前

Appreciate the support! Definitely a way to make data processing more accessible in any case.

Konrad Lercher 的头像
Konrad Lercher2 年前

Analyzation is one of the best usecases overall for ChatGPT, in my opinion. I will make sure to give this combo a try, thanks Paul!

Shushant Lakhyani 的头像
Shushant Lakhyani2 年前

Business analysts would love using this

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