How to Use ChatGPT Advanced Data Analysis?

Usman Ali

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ChatGPT amazing text generation capabilities have caused it to become incredibly popular worldwide. Imagine, though, that it is a dynamic tool capable of executing code, handling file uploads and downloads, and solving intricate problems instead of just being a text based chatterbox.

An experimental ChatGPT plugin called ChatGPT Advanced Data Analysis (formerly Code Interpreter) lets the language model run code in a sandboxed environment and lets users upload files, make visualizations, and download the results with ease.

This article will discuss the internal workings of the Advanced Data Analysis tool and examine some of its possible applications.

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ChatGPT Advanced Data Analysis

ChatGPT Advanced Data Analysis

Although ChatGPT is unquestionably great at many things and has changed the tech landscape, it also has many drawbacks. Its code and other responses are prone to hallucinations, it cannot create or read images or charts, it struggles with math, and you are unable to upload or download anything.

OpenAI created the advanced data analysis ground-breaking plugin to enhance the functionality of ChatGPT. ChatGPT can perform math, analyze data, upload and download files, and interpret Python code with Advanced Data Analysis.

Under the code interpreter name, Advanced Data Analysis is a GPT-4 feature that was made available to all ChatGPT Plus users in July 2023.

How Does Code Interpreter Differ from Advanced Data Analysis?

How Does Code Interpreter Differ from Advanced Data Analysis?

Apart from the name change, there does not seem to be any distinction between the two. OpenAI announced the release of ChatGPT Enterprise, a new business edition, in August 2023. The company announced in that post that the Code Interpreter feature would now be known as Advanced Data Analysis.

Though technically correct, the name Code Interpreter gave the impression that the feature was only meant for programmers, but in reality, data specialists and regular users could benefit greatly from it.

What Advanced Data Analysis Brings to ChatGPT?

Advanced data analysis excels at carrying out intricate mathematical computations, deciphering code, analyzing data, and even editing media.

Capabilities for Data Analysis and Visualization

Capabilities for Data Analysis and Visualization

The feature is incredibly adept at handling structured data. You can give it instructions to process, analyze, and visualize data by uploading Excel spreadsheets or .CSV files.

It has the ability to handle erroneous data, look for errors, identify outliers, and more. It can essentially function as your personal data analysis assistant if you know what you are doing.

Example: Creating Charts Using Large Datasets

Do you wish to receive a report on any sizable datasets (Google Ads and Analytics)? All you have to do is upload the file and tell ChatGPT what you want it to do. You can even request that it generate data visualizations using a heatmap or scatter plot, or any other type of graph.

Additionally, you can ask it to arrange the data according to your desired condition or from highest to lowest.

Example: Analyzing Data

We will use data on the impact of Covid-19 on trade in New Zealand that is readily available to the public to demonstrate this example. If there was anything startling in the data, we questioned ChatGPT.

As ChatGPT astutely pointed out, without additional context, it is unable to determine what constitutes normal for the dataset. It did, however, observe variations in the trade value at different times for both imports and exports, which could have resulted from a number of causes, including Covid-19, and it made an offer to evaluate these anomalies.

After that, a boxplot comparing imports and exports before and after Covid-19 was produced. It offered its observations as well.

Example: Creating a Map from .CSV Data

We asked ChatGPT to use GeoPandas to create a map using publicly available data on Covid-19 deaths across various countries that we had uploaded from the World Health Organization (WHO).

Advanced Data Analysis responded by outlining the procedures that would be followed, which included:

  • Loading the .CSV file contents.
  • Compiling it to obtain the death toll for every country.
  • Using GeoPandas, loading a world map shapefile.
  • Combine the map and the compiled data.
  • Plotting it with the number of deaths represented by a color gradient.

With any kind of business data, such as commodity price opportunities, stock market data, location information, or any kind of quantitative data, it is simple to see how helpful this feature can be.

It may be best to feed ChatGPT manageable data chunks at a time, as it might not be good at handling large datasets. Positively, it will notify you if a dataset exceeds a certain size and suggest possible solutions.

Interpreting Code

Interpreting Code

The Limitations of ChatGPT are:

  • It produces unreliable code, particularly for intricate projects.
  • It might be necessary to adjust your prompts more than once.
  • Large datasets are still beyond its capabilities.
  • Sometimes ChatGPT code causes run-time errors due to syntax errors, or it creates variables and functions that do not exist.

This issue is resolved by Advanced Data Analysis, which allows you to upload an unlimited amount of data in different file formats and establishes a sandbox environment in which the code can run and be evaluated before producing an output.

The sandbox can only be used with a Python interpreter as of this writing, so it is not compatible with other languages. Since it is unable to connect to the internet directly, you are also unable to force it to download third-party libraries.

Solving Math Problems

Solving Math Problems

Advanced Data Analysis increases ChatGPT mathematical equation comprehension. All you have to do is enter an equation or upload a PDF or image file with the equations you want ChatGPT to solve.

Example: Factoring Polynomial Functions

we asked Advanced Data Analysis to factor a straightforward polynomial function. Python is typically used in Advanced Data Analysis to compute solutions to mathematical problems.

Example: Plotting Functions

Functions can also be plotted on a graph using Advanced Data Analysis.  You can ask it to plot a tangent line in order to advance the situation. For math problems, however, you are usually better off using the Wolfram Alpha plugin.

Image Editing

Image files can be opened in Advanced Data Analysis and edited with filters and color adjustments. Its capabilities include cropping, overlaying text, flipping, merging, and zooming in and out of your image.

Additionally, you can ask it to pull the color scheme, explain it, and provide you with prompts so you can use Midjourney or DALL-E to create your own AI version of the image. Advanced Data Analysis can even be used to animate an image.

Although ChatGPT cannot (yet) be used to generate images from text alone, it can generate QR codes from any URL you send.

Editing Sound and Video Content

With Advanced Data Analysis, you can upload sound and video files in addition to image files. Some users claimed that they could use the tool to transcribe audio files. Additionally, Advanced Data Analysis can trim video files and make simple edits like color adjustments.

It can also convert video files into other formats like GIFs. We could only accomplish this with brief, low-resolution video files, though. Advanced data analysis still has a lot of potential.


We are at the start of a new chapter in the history of AI-assisted computing. ChatGPT Advanced Data Analysis feature is revolutionizing the way we engage with conversational AI, enabling tasks like data analysis, code interpretation, intricate mathematical problem-solving, and media editing.

Advanced Data Analysis is a paradigm shift rather than merely a minor update. It transforms ChatGPT from a smart typewriter into an active, multipurpose assistant that can perform a variety of jobs.

Now go ahead and use this new tool to explore and discover an entirely new realm of interactive AI experiences.

Frequently Asked Questions – How to Use ChatGPT Advanced Data Analysis?

What is ChatGPT Advanced Data Analysis?

ChatGPT Advanced Data Analysis is a tool developed by OpenAI that leverages generative AI to allow users to analyze and interpret datasets using natural language prompts and queries.

How does the ChatGPT Advanced Data Analysis plugin work?

The ChatGPT Advanced Data Analysis plugin functions as an AI-powered code interpreter that enables users to upload their datasets and interact with them using natural language prompts for advanced data analytics.

Can I upload my own datasets to the ChatGPT Advanced Data Analysis plugin?

Yes, users can upload their own datasets in various formats such as CSV, JSON, or PDF to access the advanced data analysis capabilities offered by the plugin.

What are the use cases for ChatGPT Advanced Data Analysis?

Using the ChatGPT Advanced Data Analysis plugin, users can perform a wide range of data analytics tasks, including data science, data analytics, and generating insights from various datasets.

Who can benefit from using ChatGPT Advanced Data Analysis?

ChatGPT Plus users and individuals involved in data analytics and data science can benefit from the advanced capabilities offered by the plugin developed by OpenAI.

What are the key features of ChatGPT Advanced Data Analysis?

The ChatGPT Advanced Data Analysis plugin allows users to access and analyze datasets using natural language queries and can handle complex analysis tasks with ease.

Can ChatGPT Advanced Data Analysis integrate with other analytics tools?

Yes, the plugin can be used in conjunction with other analytics tools such as Google Analytics to further enhance the data analysis capabilities.

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