Data Exploration with GPT-4

 

Environment:  ChatGPT Plus, GPT-4 with Advanced Data Analysis

 

Data:  Superstore dataset.

 

Objective:  Analyze & visualize data with GPT-4.

 

In my previous post, I used GPT-4 to design a dashboard with multiple graphs.  This approach is applicable when you know the data so you can instruct GPT-4 to create visualizations the way you would like to interpret the data.

 

But when you are not familiar with the data set, you can prompt GPT-4 to explore and visualize the data.  This method can go in many different directions, however, it can yield insights that you might not have expected.

 

 

1)   Upload and Analyze Data:  When prompted to analyze data, GPT-4 proceeds to analyze data like sales analysis, customer analysis, product analysis.

 

 

The analysis will give the results in text and numbers, which are OK.  

 

 

 

2)   Visualize Data:  If you want to analyze data visually, the better prompt is to ask GPT-4 to visualize data, which created graphs with key insights.  

 

 

 

Verdict:  When you’re not familiar with a particular data set, use GPT-4 to explore data and provide initial analysis.  Then based on these initial analyses, you can do a deep data analysis in the direction you want.  With proper guidance, GPT-4 can be your helpful assistant.

 

Warning:  Artificial intelligence can sometimes give convincing but fictitious answers.  Make sure you always verify the results when using any LLM’s (ChatGPT, Bard, Claude…).