Have you ever dreamed of an AI assistant that not only chats with you, but also handles complex Python data analytics tasks like a professional data scientist?On March 14, 2025, OpenAI made an exciting announcement on the X platform: the o1 and o3-mini models of ChatGPT now support Python-honored driven data analytics capabilities! From running regression analyses, to visualizing complex business metrics, to performing scenario simulations, the addition of these advanced tasks significantly enhances decision-making in data-driven domains. This update brings another leap forward for AI tools in the field of data science and deserves a deeper understanding by all those who follow AI and data analytics.
I. Analysis of the core functions: data analysis "super power" support
According to OpenAI's announcement, the following powerful features have been added to ChatGPT's o1 and o3-mini models:
- Perform data analysis: through Python, the model can process statistical models to help users analyze the relationship between data, suitable for market research, financial analysis and other scenarios.
- Visualize complex business metrics: Whether it's a line chart, bar graph or heat map, ChatGPT can now generate visualizations directly to help users quickly understand the story behind the data.
- Scenario Simulation and Prediction: With the computational power of Python, ChatGPT can simulate different scenarios, predict future trends, and provide data support for strategic decision-making.
These capabilities rely on Python's strong position in data science - with libraries such as pandas, scikit-learn, matplotlib, etc., Python has long been the "standard" for data analysts. Now, ChatGPT integrates these capabilities so that users can complete complex analysis tasks by simply describing their needs in natural language, without having to write code manually. This combination of "AI+Python" completely lowers the threshold of data analysis.
II.How does Python's advanced data analysis feature perform?
The previous data analysis feature called (ChatGPT Code Interpreter) was a plugin that was later incorporated into OpenAI's GPT-4 implementation. This feature fixes some of the shortcomings of ChatGPT. Prior to advanced data analysis, the basic ChatGPT model had some limitations:
Advanced Data Analytics solves all these problems. It can run Python code in a sandbox. It allows us to upload data to ChatGPT in order to generate insights. It can also create visualizations based on that data. Finally, it can explain complex math problems for us. In the following sections, we will introduce all these features and discuss some of their limitations.
- It cannot run the code, so the code it generates may have errors or defects.
- It does not allow uploading data.
- It cannot generate charts or graphs.
- It also performs poorly on math problems.
Advanced Data Analytics solves all these problems. It can run Python code in a sandbox. It allows us to upload data to ChatGPT in order to generate insights.
In terms of performance on mathematical problems, the o1 model achieved a score of 83% on the International Mathematical Olympiad Qualifying Exam, which is significantly better than GPT-4o, which scored only 13%.
This is a major breakthrough in the field of artificial intelligence.
III. User feedback: evolution from assistant to "data Copilot".
Some users have been discussing this update enthusiastically on the platform. Some commented, "o1 has evolved from a conversational assistant to a full-fledged data analysis Copilot!" Others joked, "I've been learning Python for 5 years, and now ChatGPT is going to steal my job?" Others believe that this is the equivalent of ChatGPT's "Advanced Data Analysis (ADA)" feature ushering in version 3.0.
This feedback reflects both user expectations and concerns about the new features of o1. The addition of Python does make ChatGPT more powerful, but it is more of a "super-assistant" to human data analysts than a replacement - users still need to have a foundation in data analysis to validate the accuracy of results. Users still need to have a foundation in data analysis to verify the accuracy of the results.
With this update to OpenAI, ChatGPT has taken a major step forward in the field of data science. o1 and o3-mini show the potential to evolve from conversational assistants to "data Copilots" with the help of Python. Can't wait to use o1 to analyze your own data, draw graphs, or simulate scenarios? Try it out and see what new surprises it can bring you!
If you have real-world testing experience or interesting cases, please share them in the comment section! Let's explore the infinite possibilities of ChatGPT in the field of data analytics and welcome the AI-driven smart future.
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