Using ChatGPT for Analyzing Cost Data
In preparing for a presentation on “Using AI Chatbots for Cost Engineering”, I updated my knowledge on the current state of data analysis with ChatGPT. Specifically, I wanted to know the best advice for:
- Cleansing data
- Summarizing supplier quote data
- Conducting regressions analysis
- Calculating out statistical benchmarks
Here are some good resources you can use to lean how to use ChatGPT Advanced Data Analysis for tasks like these. (note: you’ll need a subscription to ChatGPT Plus to access the ADA functionality)
Improvements to data analysis in ChatGPT
An article from ChatGPT’s creator Open AI summarizing how to use ChatGPT to analyze data from a data file.
How to Use ChatGPT’s Advanced Data Analysis Feature
An article from the Sloan Teaching and Learning Technologies team at MIT, including a 20-minute how-to video.
How to Use ChatGPT Advanced Data Analysis
An article from the Codecademy team on how to create charts to visualize data, conduct a variety of data analysis, and write python code to analyze data.
Also, here are some good resources for learning how to prompt, a fundamental skill for getting what you want out of AI chatbots.
Prompt Engineering
An article from ChatGPT’s creator Open AI with six strategies for getting better results from chatbots.
Prompt Engineering Overview
An article from Claude’s creator Anthrop\c with nine techniques for better results, as well as a couple of interactive tutorials on prompting.
Prompt Engineering Guide
An article from the non-profit Distributed AI Research Institute with a multitude of tips and video tutorials on prompting.