It is not clear to me what advantage the EDA data visualization provides. By advantage I mean what decision I will make according to one or the other visualization.
Could someone give me an example where the data visualization makes me decide for one or the other algorithm ?
i.e from the book "Introduction to ml with python" Visualising datasets before fitting any models can be extremely useful. It allows us to see obvious patterns and relationships,and may suggest a sensible form of analysis. With multivariate data, finding the right kind of plot is not always simple, and many different approaches have been proposed.
How does whether I have seen this visualization or not change the way to proceed?