Code Interpreter can accomplish a lot with large data sets, including predictive and network analysis, cleaning and restructuring, and drawing conclusions based on data. It can answer specific questions about the data, backed by a logical reason, and even tweak the approach based on simple instructions. Then, it can create 2D or 3D charts to represent that data, creating maps, and even animated graphics based on the data.
This was kind of delightful: I uploaded a CSV file of every lighthouse location in the US.
“ChatGPT Code Interpreter: Create a gif of a map of the lighthouse locations, where the map is very dark but each lighthouse twinkles.” A couple seconds later… pic.twitter.com/f14JLWQCyB
— Ethan Mollick (@emollick) May 2, 2023
Besides analyzing and visualizing data, Code Interpreter lets you copy the Python code so it can be run in a local environment. It also can be used to create downloadable data dashboards and for a variety of other purposes that can be accomplished by writing Python code. Computer scientist Gavriel Cohen notes the tool currently supports over 300 Python packages and libraries.
You can simply add files that need to be processed into Code Interpreter and write down the instructions in the chat bar. It currently supports text documents, PDF files, images, videos, audio files, and HTML pages. It can also parse databases compiled in Microsoft Excel (or its free replacements), SQLite, and CVS files and access code written in Python, Java, JavaScript, C++, etc.
While OpenAI does not specify the maximum file size you can upload in Code Interpreter, researcher Ethan Mollic notes in their blog that the maximum supported file size is 100MB, but you can also upload compressed files in a ZIP format.
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