Everyone Can be a Data Analyst Now, Thanks to the New ChatGPT Plugin 

OpenAI made available one of its most popular in-house plug-ins called Code Interpreter, providing ChatGPT Plus subscribers with endless opportunities.
Find out more about it in the article below.

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Illustration: Lenka T.

What can Code Interpreter be used for?   

The AI-powered Code Interpreter in ChatGPT Plus provides users with a versatile and powerful set of tools for code generation and data manipulation. 

One notable aspect is its ability to write code in Python, a popular programming language known for its simplicity and flexibility. 

With this capability, users can leverage the AI to automate repetitive coding tasks, prototype new functionalities, or develop complex algorithms. The AI’s ability to handle files up to 500MB in size is particularly useful when working with large datasets or manipulating resource-intensive files. 


Code Interpreter lets ChatGPT run code, optionally with access to files you’ve uploaded. You can ask ChatGPT to analyze data, create charts, edit files, perform math, etc.

OpenAI Spokesperson 

In addition to code generation, the Code Interpreter feature extends its capabilities to various data-related tasks. Users can harness its power to create visually appealing charts, maps, and data visualizations that facilitate data exploration and communication. This is especially valuable for professionals in fields such as data analysis, business intelligence, and research. 

Furthermore, the AI’s ability to analyze music playlists opens up possibilities for music enthusiasts and professionals alike. Users can gain insights into their playlists, extract metadata, or generate recommendations based on musical attributes. 

The interactive HTML file generation capability allows users to create dynamic and interactive web-based content, enabling them to showcase their data or create engaging experiences for end-users. 

Data cleaning is another vital aspect of the Code Interpreter feature. Users can employ the AI to automate data cleaning processes, such as handling missing values, removing duplicates, or transforming data formats. This helps streamline data preparation workflows and ensures data quality. 

Extracting color palettes from images is yet another valuable function. This feature allows users to automatically identify and extract the colors present in an image, enabling them to create harmonious color schemes for various design purposes. 

Overall, the Code Interpreter feature in ChatGPT Plus empowers users to perform a wide range of data-related tasks efficiently and effortlessly. Its capabilities span from code generation to data visualization, analysis, and manipulation, making it a valuable tool for professionals and enthusiasts in various domains. 

A journalist by day and a podcaster by night. She's not writing to impress but to be understood.