I’m following the course: Data and Programming Foundations for AI. I’m at 53%.
I only calculate the average age to demonstrate my skills with data, it took me about 1h.
The link is:
Looking at the age variable is a start, but there’s more to this exercise in EDA (exploratory data analysis). Lots more descriptive stats to discuss. What about the other variables?
At its foundation, EDA should tell the story of the data. If you’re unfamiliar w/EDA, then it would be a good idea to re-read that content in the course and/or look for other online resources that explain the process. You could also do a search here in the forums and look at how other people tackled the project.
You’re absolutely right. I analyzed only the age in order to demonstrate what I learned and my skills in working with a dataset. I analyzed also the average age of males and females, combining two variables. I know this is only a start! Thanks for your feedback!