Using ChatGPT for Exploratory Data Analysis, week 1

ChatGPT's Advanced Data Analysis Engine (formerly Code Intepreter) allows anyone who can type English to do exploratory data analysis (EDA). They can explore the data, find insights, and output them to various formats.
I'm going to do EDA on a different dataset each week for four weeks. Join me as I find my way through the data, using just a text prompt.
Ultimately, we'll find out: is ChatGPT's Advanced Data Analytics plugin good enough to replace humans, or the software tools they're already using?
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[@kaymaqsood8920]

dynamic commenting- Ok, so finally got the presentable charts. @39.29 circle is the most commonly reported shape, the last sentence on the screen reads it wrong. Also, the final presentation mentions it wrong - reporting 'light' as the most common shape.

[@vq8gef32]

Hi Andy , great work and I liked the way you compared and explained. If the dataset was over a Gigabyte, was it possible to upload it to GPT and the analysis it?
Thanks

[@kaymaqsood8920]

Blank presentation - @53:48 python code reads: data = [1, 2, 3] # Dummy data to set the y-ticks. No data no presentable charts.