What interesting things can be learned from the comparison of store prices?

Question

Python

I have a bookstore price database.
For fun, I decided to compare prices in them.
Counted all the standard pieces - mean, median, standard deviation.
Constructed histograms and scatterplots (scatter_matrix).
I made a chart with the prices of all stores, but it turned out to be some kind of motley hodgepodge. Doesn't provide useful information.
What else can be interesting to calculate and visualize?

Answer 1

Are there no grocery stores? It would be much more interesting.
It would be possible to count "expensive" and "cheap" shops. Reveal that in some stores milk/meat/alcohol is cheaper than in others. Try to count the "average" food packages in different stores.
And for bookstores, well, you can calculate about the same thing, but it's less vital, IMHO.

Answer 2

make a book search service, where it's cheaper, where it's closer to home, etc.))

Answer 3

Draw circles and show the intersection of the range
Draw a pie-chart with the distribution of books by type (journalism, technology, etc.)
Show 75(95)-percentile by price