Mastering Code Interpreter for Data Analysis: Step-by-Step Guide

Hey, it's Conor! Join me as I dive into the world of data analysis using OpenAI's Code Interpreter, a tool based on GPT-4 technology. In this video, I'll show you how I effortlessly analyze a complex FIFA 2019 player dataset, boasting 15,000 rows and 109 columns. You'll see me perform this analysis using a simple drag-and-drop method. I'll share insights on player ratings, age distribution, and physical attributes, all while demonstrating the Code Interpreter's powerful capabilities. If you're keen to streamline your data analysis process using AI, you've come to the right place. Don't forget to subscribe for more practical, hands-on guides where I'll help you enhance your data analysis skills

[moxie]

Always know your data. For example, advanced data analysis (formerly code interpreter), has not been able to pick up the difference between 0 and Null. This will skew averages for example.

[abenjamin]

@conner the main problem is that the human user has to know about the data 📊 because the AI will make stuff up.