Further Exploring GPT-4o Data Analysis Capabilities
I wrote this blog post about a month ago and while still impressive, I figured I try to continue to explore GPT-4o seeming interminable capabilities. The results were much better than I expected.
So here is what I did differently this time:
🗄️Instead of CSV, I used SQLite db file
⬆️File size increase from a few Kbs to ~30Mb
❓unknown data quality, I just downloaded it based on size and format from Kaggle
I then provided this simple prompt: “ChatGPT analyze the following dataset in sqlite format. Please provide with relevant metrics, statistics and visualizations. Identify and attempt to fix any anomalous data.”
After providing the file ChatGPT was off to the races. And about a minute later a deluge of information and insight was thrown my way:
It then started the really impressive part: insight and analysis.
- Income Distribution: The income distribution is skewed right, with most incomes falling within a lower range, but there are some very high incomes.
- Age Distribution: The age distribution appears relatively normal with a concentration around the middle ages, indicating a diverse age range of applicants.
- Experience Distribution: The experience distribution shows a right-skewed pattern, with many individuals having fewer years of experience, but some having significantly more.
It then detected potential anomalies in the data:
Observations
- Income Outliers:
- A subset of 2,494 records shows extremely high incomes, close to the maximum value of 9,999,938.
- These high values might represent legitimate high-income individuals but could also include data entry errors or outliers.
2. Experience Anomalies:
- A significant number of records (11,043) show 0 years of experience.
- It’s possible that these are early-career individuals or errors in data entry.
And then it even provided among a lot of other things a correlation matrix chart
The whole conversation can be found here.
In closing, it’s still hard to overstate Chat GPT-4o data analysis capabilities and the more use cases and challenges I attempt, the more Chat-GPT blows past my expectations. At this pace of progress, GPT-5 will be an absolutely amazing LLM when it’s released and I, for one, am looking forward to it.
Originally Posted on June 9th, 2024
