Exploring OpenAI's Newly Released Code Interpreter in Humanities Research

Hello everyone! :rocket:

I’m currently engaged in humanities research at my university, and my work often involves diving into complex, layered datasets. As part of my ongoing exploration of cutting-edge tools in data science, I was thrilled to gain access to OpenAI’s newly released feature, the Code Interpreter within ChatGPT. The results of this experiment have been nothing short of astounding.

This state-of-the-art tool has proved to be a game-changer in my research process. It’s been an enlightening journey, filled with data exploration, code interpretation, and the creation of visually compelling geographic representations!

In my recent project, I aimed to generate a comprehensive geographic visualization of a French department, using a dense CSV file that contained hundreds of lines of scientific observations made by teachers. At first glance, the data seemed daunting - heavily textual and lacking the numeric values typically used for graphing. However, with ChatGPT’s code interpreter, I was able to navigate through the data and create a bar chart displaying the distribution of observations by each teacher and geographical zone.

The subsequent challenge was plotting these observations on a map, which required geographic coordinates. Leveraging a GeoJSON file of the Pyrénées-Orientales and some strategic data manipulation, I mapped the teachers to their respective zones. Utilizing GeoPandas, Matplotlib, and a dash of creativity, I designed a map with distinct color-coded markers signifying each teacher’s location.

The end result was a beautifully detailed geographic visualization of a French department, crafted from a dense scientific CSV file in mere minutes. The process was not only efficient but also remarkably intuitive, making complex data analysis feel like a breeze.

In reflection, the newly released Code Interpreter has genuinely transformed my approach to data visualization. This tool, which I had the privilege to access just this evening, has proven to be not just an assistant but a catalyst for creative thinking and smart problem-solving. It’s been an invaluable addition to my research toolkit.

I look forward to hearing about your experiences and sharing more about my data adventures in the future! Stay cool and code on, friends! :sunglasses:

Joris Villaseque Blestel



I share your feelings, it’s an incredible tool. I have used it across multiple complex domains and in minutes is producing excellent analysis that I can importantly replicate.
I love that it is showing step by step, this if you wanted will let you run it locally on a bigger dataset. (this is my current tactic to get around the memory limitations)

Thanks for sharing :slight_smile:

FYI I posted this topic on tips / tricks you might like

1 Like

Awesome ! Thank you also for your sharing! All of this progress is amazing! We live in an extraordinary time :magic_wand:

1 Like