Hello everyone!
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!
Best,
Joris Villaseque Blestel