Data Analysis Made Easy with ChatGPT Code Interpreter

OpenAI Code Interpreter (later renamed to Advanced Data Analysis) helps in accessing the information quickly and accurately using the help of Data analysis and visualization, coding, and Mathematical equations.

This new feature opens up unparalleled flexibility to its users that could allow them to do wonders within a fraction of a second using natural language processing.

OpenAI’s Code Interpreter holds great use for programmers and even more so for the data professionals at large, who could benefit greatly from this features suite other than just coding.

What is ChatGPT Code Interpreter, and How Does It Work?

OpenAI’s ChatGPT has caused a revolution with its remarkable text-generation capabilities. It continues to dazzle internet users by taking natural language inputs and responding accurately in texts, charts, maps, statistics, etc.

OpenAI’s AI chatbot has captured the attention of millions across the globe in just one week since its launch – highlighting how rapidly technology is evolving today.

OpenAI has revolutionized Artificial Intelligence (AI) technology with its chatbot by introducing a Code Interpreter plugin/feature that significantly enhances ChatGPT’s capabilities.

Nowadays, many activities, such as data analysis and generating visualizations, are performed faster due to this groundbreaking plugin, which makes obtaining knowledge much more accessible through simple commands given via natural language processing.

ChatGPT Code Interpreter is a powerful language model that helps businesses unlock the potential of big data by automatically interpreting it to generate code. This advanced tool offers unprecedented speed and accuracy in processing large-scale datasets, allowing organizations to uncover valuable insights efficiently and effectively with minimal effort.

As a result, companies get real-time intelligence on customer behavior trends or market dynamics, enabling them to make informed decisions faster than ever before while driving business success through insightful analysis of their raw data.

OpenAI’s code interpreter feature significantly boosts the accuracy and precision of ChatGPT responses while also creating a more interactive user experience. This revolutionary addition to the ChatGPT allows it to carry out complex calculations, generate charts from uploaded data, support various file formats such as CSV and JSON, and process images/videos (helpful in computer vision) through uploads and downloads.

This empowers users with immense possibilities for their projects or tasks requiring intelligent AI assistance.

Code interpreter is an innovative tool that enables ChatGPT to bridge the gap between natural language understanding and code execution. It features a unique capability to self-reflect upon its output, allowing it to correct any mistakes made along the way.

This advanced technology provides users with powerful automated programming capabilities unmatched by other platforms.

Code interpreter enables users to query data using natural language. The interpreter provides fast responses without requiring technical expertise, so experienced data analysts and novices can use this groundbreaking technology to unlock new possibilities.

Please note: OpenAI has renamed Code Interpreter to Advanced Data Analysis while releasing the ChatGPT Enterprise version, introducing new features such as image interpretation, improved code interpretation, and advanced data analysis capabilities for users to analyze data more effectively. 

Going further in this post, we will use Advanced data analysis intermittently to represent Code Interpreter.

How to Access the ChatGPT Code Interpreter (Advanced Data Analysis)?

ChatGPTs Advanced Data Analysis is the perfect choice for data analysts, researchers, IT professionals, etc, looking to have in-depth data insights and visualization to modernize their workflows.

ChatGPT Code interpreter is a game-changer for data analysis. You can interactively perform simple to complex data transformations, statistical analysis, and visualizations.

Its ability to perform many tasks on its own by executing Python code in a sandbox environment, correcting the data wherever required, uploading a large amount of data, and exporting them with ease makes it a robust data analytical tool for quick data analysis and provides meaningful insights.

Getting started with ChatGPT code interpreter is easy, but you need to have a ChatGPT Plus account.

By default, it is not enabled as it is in the beta phase, so you need to turn it on from Settings & Beta options as shown below:

You can navigate to the three dots at the left-hand corner of the ChatGPT console. After clicking on three dots, you will get an option “Settings & Beta,” as shown below.

After clicking the “Settings & Beta” option, the following box will pop up. You can enable the option “Advanced data analysis.”

In the latest ChatGPT-4, you need to navigate to the GPT-4 option at the top of the screen and enable Advanced Data Analysis as shown below:

Now, you are set to use the Advanced data analysis (Code Interpreter) of OpenAI ChatGPT and perform basic to complex data calculations, analysis, and visualizations.

Code Interpreter is an innovative feature designed to revolutionize data analysis. It offers a wide range of capabilities – from processing complex calculations and numbers to creating interactive transformations, statistical analyses, and visualizations for non-technical users in a conversational setup.

Proven with the ability to fix ChatGPT shortcomings when it comes to technical tasks related to data analysis, Code Interpreter has become one of the most sought-after tools among analysts worldwide.

What Activities Are Performed by the “Advanced Data Analysis” in ChatGPT?

Recent advancements have enabled chatbots to go beyond simple text interfaces, allowing for multi-step data analysis and a more interactive user experience. Through sophisticated backend environments, complex data analyses can be carried out with the ChatGPT Advanced Data Analysis to create predictive models, conduct hypothesis tests, descriptive statistics, or graphically summarise findings using specialized software. These insights form a basis for effective decision-making and risk-prevention strategies.

Some of the important activities performed using Advanced Data Analysis are: 

• Data analysis and visualization of the outcome in the form of charts or images
• Professionally convert images into various formats like PNG, JPEG, or GIF with years of expertise using the ‘convert’ command.
• Provide users an easy way to run Python codes in a single chatbox, with a> symbol at the beginning of each line for coding imports from existing libraries and further package and module usage for enhanced output results.
• Expertly edit existing code files like HTML, CSS, and JavaScript using the edit command with specified line numbers.
• Solving mathematical problems, both quantitative and qualitative

In the following section, we will look at how ChatGPT Advanced Data Analysis can be used for data visualization with examples.

How to Use ChatGPT Code Interpreter (Advanced Data Analysis) For Data Visualization?

The most common use-case of ChatGPT’s Advanced data analysis that came out so far is Analysing and Visualizing the Data. 

For example, suppose you ask ChatGPT to find something interesting in your data. In that case, it can examine information like your financial records, health statistics, or location details and provide insights.

People working in finance have found it useful for tasks like studying stock prices, planning a budget, and other financial forecasts. Researchers also use this tool to get insights from complex data and make unique data visualizations. 

Even though data analysis is the most common use case for now, theoretically, any task that requires logic and computation should be possible for ChatGPT’s Advanced data analysis to achieve. 

The best part of all these is that ChatGPT performs all this conversationally, making the process intuitive, engaging, and approachable for technical and non-technical users.

Let’s see how to utilize Advanced data analysis (Code Interpreter) for data visualization.

The analysis and getting in-depth insights into the data all depend on the prompts you use to communicate with the ChatGPT, make it work on your data, and fetch the results.

Let’s take publicly available data about countries and their GDP and fetch some insights.

The data is taken from Worldometers, consisting of a list of countries and respective data about GDP, population, GDP growth, Per capita, etc.

Let’s use some prompts to tell ChatGPT’s Advanced data analysis to fetch specific information and represent it in a chart.

To start, if you don’t even understand what this data is, then simply paste it into the interface, and GPT will provide a quick summary of it as shown below:

Let’s start by extracting precise information from this data.

Case Study 1: Analyze Data and Create Charts

If you want to view the top 10 countries with their GDP, GDP growth, and population in the form of a chart, then:

Prompt: Can you plot a chart of the top 10 countries with GDP data, GDP growth, and population?

Giving some technical reasons, it plotted the data in tabular format as shown below:

After plotting data in tabular format, I have given instructions to plot the data in a bar chart to ease the task of visualizations and interpretations, as shown below.

Prompt: Can you convert the above tabular format into another chart that can be easy to visualize and understand?

You can see below ChatGPT has accepted the prompt and generated the chart.

The result shows how the Advanced data analysis of ChatGPT analyses the data and provides insights in a visual format that is easy to understand and interpret.

Case Study 2: Predictive Model of Advanced Data Analysis

One of the significant use cases of Advanced data analysis of ChatGPT is to analyze complex data sets and predict the outcome to help organizations, agencies, and businesses improve decision-making processes.

Let’s see one example: 

Uploaded the same data of countries and respective GDP numbers as with the case of the above examples. 

Prompt: Can you use data from all countries and predict when India will surpass China and the USA in GDP

In this case, ChatGPT performs lots of financial, mathematical, and economic calculations to provide the prediction as shown below:

It even clearly states that critical factors such as Inflation and political global events are not considered, which affect the GDP growth in real time as stated below:

As is visible from the above example, the Advanced Data analysis of ChatGPT has done numerous calculations and predicted the outcome in which it stated that India would take 34 years to surpass India and the USA in GDP.

Likewise, you can feed the complex data, and ChatGPT will forecast the answer as per your prompts.

Most of the time, it corrects the data automatically for any discrepancies, but sometimes, it may ask you to correct and reload; in such cases, it may fail to produce the results.

Case Study 3: Creating Data Set and Data Analysis

In this example, let’s use ChatGPT to create a mock data set, and we will use it further to gain data insights.

Prompt: can you create a mock data set

The ChatGPT produces the following solution by asking for more precise information:

As required, I have created the next prompt stating a few more precise details:

Prompt: Please provide mock data for sales for last 3 months , including salesperson name, product name, price, quantity sold etc. 

As you can see from the below image, ChatGPT has summarized the details and made appropriate assumptions to create mock data.

After downloading the CSV file, I came to know that the products column just had product ID, so in the next prompt, I asked ChatGPT to replace the product column with product names of technological products, and you can see how it has reacted in the following image:

After downloading the CSV file, the product names are corrected and replaced. You can take a look at the below image of the mock data created by ChatGPT.

In the next session, let’s use this data and make ChatGPT to generate insights to help stakeholders make business decisions.

Prompt: can you create chart of using above data highlighting the best, average and poor sales performance.

ChatGPT advanced data analysis summarizes the data and creates the chart highlighting the sales performance as shown below:

ChatGPT’s Advanced data analysis is not just about creating simple charts; it also corrects errors and prompts and analyzes huge and complex data sets to produce great visualization.

To add further data to the above chart, I have asked it to add the highest and lowest product sales. But it has created two separate charts, as shown below:

Then I asked to combine both and create a single chart, and it has created an insightful chart that highlights the best-performing salesperson and highest sales product as stated below:

Prompt: Can you coombine both and produce single chart

The above-explained examples of data analysis are just the tip of the iceberg, but in fact, there are limitless potentials depending on your specific industry and data availability. You can access our ChatGPT code interpreter section for more examples.

ChatGPT allows users to generate various types of graphs for data visualization, enabling them to better understand their data.

Covering all the popular formats like scatter plots, heatmaps, bar charts, and line graphs – plus histograms, box plots, or area charts – ChatGPT can give you a comprehensive overview in just moments.

With advanced data analysis solutions, businesses can identify patterns and trends within their datasets. This powerful tool enables them to optimize the performance of all areas of their marketing strategies, from SEO campaigns to PPC performance to all areas, for a successful and comprehensive insight into trends and anomalies- allowing optimization across various efforts leading towards strong business growth.

Final Words

ChatGPT Advanced Data Analysis is an invaluable asset that helps businesses make informed decisions based on accurate and reliable findings. As well as providing improved data visualization capabilities, it offers options such as error checking and outlier detection when handling structured data, guaranteeing dependability in results every time.

Next, check out our detailed article on ChatGPT code interpreter [+ usage examples].