Code Interpreter in ChatGPT: Use Cases and Quick Start Guide

Artificial intelligence (AI) continues to reshape our interactions with technology, and the integration of Code Interpreter into OpenAI’s language model, ChatGPT Plus, marks a significant milestone. This powerful tool enables users to run code, analyze data, create charts, edit files, and perform mathematical operations, revolutionizing the capabilities of AI-driven interactions.

With Code Interpreter, ChatGPT Plus subscribers can harness the potential of AI to enhance their data analysis and programming tasks in an unprecedented way. Here are interesting ways on how to use Code Intepreter and get started;

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Related: How to Access the Internet on ChatGPT with WebChatGPT

How to Enable Code Interpreter in ChatGPT

To access ChatGPT Code Interpreter, follow these steps:

  • Open ChatGPT.
  • Click on the settings option located in the bottom left corner under the profile.
  • Open the beta features.
  • Enable Code Interpreter.

Related: Top 10 AI Code Assistants for Programmers

Code Interpreter Usecases

Here are 15 mind-blowing use cases of Code Interpreters:

  1. Segment your customers in seconds: Code Interpreter can automatically analyze a spreadsheet and identify different customer segments in the music market, saving hours of manual coding.
  2. Decompose seasonality simply via text: It can determine the precise seasonality patterns in the price of Bitcoin by analyzing the data, providing instant insights.
  3. Automated linear regression: By asking Code Interpreter for “interesting hypotheses,” it can generate a well-constructed automated linear regression model, eliminating the need for manual coding.
  4. Easy Geo Charts: Uploading location data allows users to visualize it easily, such as creating a GIF of lighthouses in the US twinkling, without the need for expensive software.
  5. Basic descriptive charts in seconds: Code Interpreter can generate basic visualizations and data exploration steps that used to take hours, reducing the manual effort required.
  6. Graph public data without input: It can fetch data from public databases like the IMF (International Monetary Fund) and create visualizations without any additional work from the user.
  7. Automatic Radar Charts: Code Interpreter can generate complex radar charts, like analyzing a user’s Spotify playlist to create a customized visualization.
  8. Heatmaps With Ease: By simply providing a CSV of SF crime data, Code Interpreter can generate heatmaps without any guidance.
  9. Automatic log chart transformation: Code Interpreter can analyze datasets and determine when a log transformation applies, outputting the transformed data and chart automatically.
  10. Cohort chart with no effort: Uploading data to Code Interpreter enables the automatic creation of cohorts and the generation of charts in seconds, streamlining the process.
  11. Clustering algorithms and debugging: Code Interpreter can perform clustering tasks, grouping data into clusters and debugging mistakes, saving time and effort.
  12. Natural language querying to reduce stakeholder requests: Data scientists can use Code Interpreter to quickly answer simple questions from stakeholders without getting distracted from their main tasks.
  13. Plot mathematical functions: Users can plot mathematical functions without the need for specialized tools or manual configuration, as Code Interpreter makes assumptions and generates the plot automatically.
  14. Data cleaning made easy: Code Interpreter simplifies the data cleaning process by making intelligent decisions, such as removing unnecessary columns, reducing manual effort and improving efficiency.
  15. All-in-one data analysis: Code Interpreter combines multiple data analysis tasks in one place, allowing users to perform a range of functions quickly and effortlessly.

Special Credit to this tweet by Gupta: Check it out for visualizations and other highlighted info.

Related: Top 5 Sites to Find New AI Apps and ChatGPT Tools

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Precautions and Responsible Use

While Code Interpreter in ChatGPT Plus offers immense potential, users must exercise caution and understand its limitations. Although it demonstrates impressive capabilities, it is important to remember that AI tools like ChatGPT are not infallible and can produce errors or incorrect results. Users should ensure thorough validation of outputs and maintain human oversight to mitigate potential risks and inaccuracies .


The introduction of Code Interpreter in ChatGPT Plus represents a groundbreaking advancement in AI-driven interactions and empowers users with enhanced data analysis and programming capabilities. By leveraging the power of AI, ChatGPT Plus subscribers can streamline their workflows, expedite complex tasks, and derive valuable insights.

As the AI landscape continues to evolve, Code Interpreter sets the stage for a future where AI acts as a trusted companion for sophisticated knowledge work. Do let us know in the comment section if you have found this article helpful.


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